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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2022.873876</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Emerging Proteins in CRPC: Functional Roles and Clinical Implications</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Kong</surname>
<given-names>Piaoping</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn004">
<sup>&#x2021;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Lingyu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn004">
<sup>&#x2021;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1777780"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Zhengliang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Feng</surname>
<given-names>Kangle</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sang</surname>
<given-names>Yiwen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Duan</surname>
<given-names>Xiuzhi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1340972"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Chunhua</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1200604"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Tao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1568608"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tao</surname>
<given-names>Zhihua</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1000118"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Weiwei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/913298"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Laboratory Medicine, The Second Affiliated Hospital of Zhejiang University School of Medicine</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Blood Transfusion, The Second Affiliated Hospital of Zhejiang University School of Medicine</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Eneda Toska, Johns Hopkins Medicine, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Benyi Li, University of Kansas Medical Center, United States; Panagiotis J. Vlachostergios, Cornell University, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Weiwei Liu, <email xlink:href="mailto:liuweiwei@zju.edu.cn">liuweiwei@zju.edu.cn</email>; Zhihua Tao, <email xlink:href="mailto:zrtzh@zju.edu.cn">zrtzh@zju.edu.cn</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Genitourinary Oncology, a section of the journal Frontiers in Oncology</p>
</fn>
<fn fn-type="other" id="fn003">
<p>&#x2020;ORCID:Weiwei Liu, <uri xlink:href="https://orcid.org/0000-0003-4708-8057">orcid.org/0000-0003-4708-8057</uri>; Zhihua Tao, <uri xlink:href="https://orcid.org/0000-0002-0906-7143">orcid.org/0000-0002-0906-7143</uri>
</p>
</fn>
<fn fn-type="equal" id="fn004">
<p>&#x2021;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>873876</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Kong, Zhang, Zhang, Feng, Sang, Duan, Liu, Sun, Tao and Liu</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Kong, Zhang, Zhang, Feng, Sang, Duan, Liu, Sun, Tao and Liu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Prostate cancer (PCa) is the most common cancer in men in the western world, but the lack of specific and sensitive markers often leads to overtreatment of prostate cancer which eventually develops into castration-resistant prostate cancer (CRPC). Novel protein markers for diagnosis and management of CRPC will be promising. In this review, we systematically summarize and discuss the expression pattern of emerging proteins in tissue, cell lines, and serum when castration-sensitive prostate cancer (CSPC) progresses to CRPC; focus on the proteins involved in CRPC growth, invasion, metastasis, metabolism, and immune microenvironment; summarize the current understanding of the regulatory mechanisms of emerging proteins in CSPC progressed to CRPC at the molecular level; and finally summarize the clinical applications of emerging proteins as diagnostic marker, prognostic marker, predictive marker, and therapeutic marker.</p>
</abstract>
<kwd-group>
<kwd>protein</kwd>
<kwd>castration-resistant prostate cancer</kwd>
<kwd>castration-sensitive prostate cancer</kwd>
<kwd>marker</kwd>
<kwd>therapeutic resistance</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Medical Science and Technology Project of Zhejiang Province<named-content content-type="fundref-id">10.13039/501100017594</named-content>
</contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="127"/>
<page-count count="20"/>
<word-count count="10366"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Prostate cancer (PCa) is the most common non-cutaneous cancer in men in the western world, and is responsible for about 300,000 deaths each year (<xref ref-type="bibr" rid="B1">1</xref>). Androgen deprivation therapy (ADT) has been thought to be the mainstay of treatment for men with advanced symptomatic prostate cancer which is called castration-sensitive prostate cancer (CSPC). While after an initial effective response, patients often stop responding and progress to castration-resistant prostate cancer (CRPC) (<xref ref-type="bibr" rid="B2">2</xref>). It can be identified by a rise in prostate-specific antigen (PSA), bone scan, biopsy, and/or positron emission tomography (PET) imaging of recurrent/new metastases (<xref ref-type="bibr" rid="B3">3</xref>). At a conference held in March 2015, 41 experts from 17 countries and regions all agreed that the diagnosis of CRPC should meet the following two conditions: i) The serum testosterone level of the castrated is &lt;1.7 nmol/l and ii) indicating biochemical progression. Biochemical progression is characterized by the PSA expression levels increasing twice in a row from an interval of 1 week or &gt;3 consecutive measurements with the lowest value increasing&gt;50% and &gt;2 g/l, and &#x2265;2 increases in novel lesions based on bone scanning or soft tissue lesions with the corresponding evaluation criteria of the solid tumor. At current, symptom progression is not sufficient for diagnosis of CRPC (<xref ref-type="bibr" rid="B4">4</xref>). Diagnosis as early as possible and precise management of CRPC are the urgent need. Proteins are the ultimate targets of most anticancer drugs (<xref ref-type="bibr" rid="B5">5</xref>). In this regard, investigation of protein expression and its function in promoting CRPC enable discovery of potential biomarkers for diagnosis and prognosis and therapeutic drug targets of CRPC.</p>
<p>Recently, with the development of high-throughput technology, a majority of proteins have been studied. Recent studies have demonstrated that proteins such as 2,4-dienoyl-CoA reductase (DECRI), alpha (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B6">6</xref>) fucosyltransferase 8 (FUT8), and actinin-4 (ACTN4) are regulated in CRPC (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>). Aberrant expression of proteins may promote CRPC cell growth, invasion, and metastasis, but inhibit cell apoptosis of the tumor and antitumor drug sensitivity. The molecular mechanisms of prostate cancer progression to CRPC are not very clear to date. In this review, we summarized the altered proteins when CSPC progressed to CRPC, and we focused on the functions, mechanisms, and clinical implementation of related proteins in CRPC.</p>
</sec>
<sec id="s2">
<title>The Expression Pattern of Emerging Proteins in CSPC to CRPC</title>
<p>Large amounts of proteins have been found to express differently compared CSPC with CRPC. The altered proteins in the transition from CSPC to CRPC and the relevant references are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The altered proteins when CSPC progression to CRPC.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left" style="background-color:#c5e0b3">Protein</th>
<th valign="top" align="left" style="background-color:#c5e0b3">Matrix</th>
<th valign="top" align="center" style="background-color:#c5e0b3">Alteration in CRPC</th>
<th valign="top" align="left" style="background-color:#c5e0b3">Proteomic technologies</th>
<th valign="top" align="center" style="background-color:#c5e0b3">Function</th>
<th valign="top" align="center" style="background-color:#c5e0b3">Clinical association</th>
<th valign="top" align="center" style="background-color:#c5e0b3">References</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>PARP-2</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Tissue</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>IHC</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Promotes AR-positive CRPC growth</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
<td valign="top" align="center" style="background-color:#fbe4d5"> (<xref ref-type="bibr" rid="B9">9</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>SFK</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Tissue</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>IHC</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Promotes CRPC proliferation and metastasis</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Prognostic marker</bold>
</td>
<td valign="top" align="center" style="background-color:#e1efd9"> (<xref ref-type="bibr" rid="B10">10</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>SEMA3C</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Tissue</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>IHC</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Promotes CRPC growth</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Therapeutic target</bold>
</td>
<td valign="top" align="center" style="background-color:#fbe4d5">(<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>RNF6</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Tissue</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>IHC</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Promotes CRPC growth</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9"/>
<td valign="top" align="center" style="background-color:#e1efd9"> (<xref ref-type="bibr" rid="B13">13</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>AR-V7</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Tissue</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>IHC</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Promotes CRPC growth and metastasis</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Prognostic/predictive/diagnostic marker, therapeutic target</bold>
</td>
<td valign="top" align="center" style="background-color:#fbe4d5"> (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>YAP1</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Tissue</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>IHC</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Promotes CRPC growth, invasion and FFA production</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Therapeutic target</bold>
</td>
<td valign="top" align="center" style="background-color:#e1efd9"> (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>PAK2</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Tissue</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>IHC</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Promotes CRPC growth and invasion</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Therapeutic target</bold>
</td>
<td valign="top" align="center" style="background-color:#fbe4d5"> (<xref ref-type="bibr" rid="B19">19</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>ERG</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Tissue</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Decreased</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>IHC</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9"/>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Therapeutic target</bold>
</td>
<td valign="top" align="center" style="background-color:#e1efd9"> (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>ACTN4</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>WB</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Promotes CRPC growth and invasion</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Therapeutic target</bold>
</td>
<td valign="top" align="center" style="background-color:#fbe4d5">(<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B23">23</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>TBLR1</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Decreased</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>WB</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9"/>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Therapeutic target</bold>
</td>
<td valign="top" align="center" style="background-color:#e1efd9"> (<xref ref-type="bibr" rid="B24">24</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>MDR1</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>WB</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Therapeutic target</bold>
</td>
<td valign="top" align="center" style="background-color:#fbe4d5"> (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>p66Shc</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>WB</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Promotes CRPC growth and metastasis</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9"/>
<td valign="top" align="center" style="background-color:#e1efd9">(<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>VCL</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Increased</bold>
</td>
<td valign="top" rowspan="2" align="left" style="background-color:#fbe4d5">
<bold>LC-MS/MS</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Therapeutic target</bold>
</td>
<td valign="top" rowspan="2" align="center" style="background-color:#fbe4d5"> (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>FLNC</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Therapeutic target</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>EpCAM</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Decreased</bold>
</td>
<td valign="top" rowspan="4" align="left" style="background-color:#e1efd9">
<bold>LC-MS/MS, WB</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Promotes CRPC growth and invasion</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Therapeutic target</bold>
</td>
<td valign="top" rowspan="4" align="center" style="background-color:#e1efd9"> (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>caspase 3</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Decreased</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9"/>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Therapeutic target</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>vimentin</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9"/>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Therapeutic target</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>catalase</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9"/>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Therapeutic target</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>BDH1</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Increased</bold>
</td>
<td valign="top" rowspan="5" align="left" style="background-color:#fbe4d5">
<bold>MS</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Prognostic/diagnostic marker</bold>
</td>
<td valign="top" rowspan="5" align="center" style="background-color:#fbe4d5">(<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>HMGCL</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Prognostic/diagnostic marker</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>HMGCS2</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Prognostic/diagnostic marker</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>ACAT1</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Prognostic/diagnostic marker</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>OXCT1</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Prognostic/diagnostic marker</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>FUT8</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>LC-MS/MS</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Promotes CRPC growth and metastasis</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9"/>
<td valign="top" align="center" style="background-color:#e1efd9"> (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Dicer</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>LC-MS/MS</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
<td valign="top" align="center" style="background-color:#fbe4d5"> (<xref ref-type="bibr" rid="B37">37</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>ASPH</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Increased</bold>
</td>
<td valign="top" rowspan="3" align="left" style="background-color:#e1efd9">
<bold>WB, IHC, MS</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Promotes CRPC growth and invasion</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Prognostic marker</bold>
</td>
<td valign="top" rowspan="3" align="center" style="background-color:#e1efd9"> (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>hnRNP U</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9"/>
<td valign="top" align="left" style="background-color:#e1efd9"/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>RKIP</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Decreased</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9"/>
<td valign="top" align="left" style="background-color:#e1efd9"/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>DECR1</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Cell lines</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>MS</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Promotes CRPC growth and inhibits lipid metabolism</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Prognostic marker</bold>
</td>
<td valign="top" align="center" style="background-color:#fbe4d5"> (<xref ref-type="bibr" rid="B6">6</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>TIMP-1</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Serum</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9">
<bold>ELISA</bold>
</td>
<td valign="top" align="left" style="background-color:#e1efd9"/>
<td valign="top" align="left" style="background-color:#e1efd9"/>
<td valign="top" align="center" style="background-color:#e1efd9"> (<xref ref-type="bibr" rid="B40">40</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>IL-4</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Serum</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Increased</bold>
</td>
<td valign="top" rowspan="3" align="left" style="background-color:#fbe4d5">
<bold>ELISA</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
<td valign="top" rowspan="3" align="center" style="background-color:#fbe4d5"> (<xref ref-type="bibr" rid="B41">41</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>IL-6</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Serum</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>IL-10</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Serum</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5">
<bold>Increased</bold>
</td>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
<td valign="top" align="left" style="background-color:#fbe4d5"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>IHC, immunohistochemistry; CRPC, castration-resistant prostate cancer; AR, androgen receptor; FFA, free fatty acids; WB, western blotting; LC, Liqui Chromatography; MS, Mass Spectrometer; ELISA, enzyme-linked immunosorbent assay.</p>
</table-wrap-foot>
</table-wrap>
<sec id="s2_1">
<title>The Expression Pattern of Emerging Proteins in CRPC Tissue</title>
<p>Prostate cancer tissue could readily be obtained by prostatectomy or biopsy (<xref ref-type="bibr" rid="B42">42</xref>). In addition, more effective markers for CRPC diagnosis, prognosis, therapeutic management, and the mechanisms of transformation of CSPC to CRPC could be found by investigating the expression pattern of proteins in prostate cancer tissue.</p>
<p>Developmental changes in enzyme levels have been discovered during prostate cancer progression to CRPC. PARP-2 is a member of Poly (ADPribose) Polymerase (PARP) family which plays a critical role in AR-mediated transcription in PCa and prostate cancer progression to CRPC compared with other members (<xref ref-type="bibr" rid="B9">9</xref>). To explore the oncogenic role of PARP-2 in PCa, the study used a set of PCa tissue microarrays (TMAs) containing 1129 tissue cores and found that significantly increased PARP-2 protein expression was observed in CRPC compared with primary PCa tumors (<xref ref-type="bibr" rid="B9">9</xref>). Selective targeting of PARP-2 may provide an alternative therapeutic strategy for AR inhibition that is comparable with enzalutamide treatment through disrupting FOXA1 binding rather than targeting AR directly (<xref ref-type="bibr" rid="B9">9</xref>). Compared to currently used PARP in targeting both PARP-1 and PARP-2, PCa patients may benefit from selective targeting of PARP-2 because pan-inhibitors generally have more side effects than selective inhibitors (<xref ref-type="bibr" rid="B9">9</xref>). Although the use of Src family kinases (SFKs) inhibitors in prostate cancer cell lines has also been the subject of several publications, it is still not entirely clear which SFK member plays a dominant role in the transition to hormone independence in prostate cancer compared with PARP (<xref ref-type="bibr" rid="B10">10</xref>). To investigate the association between SFK activity and clinical data in prostate cancer patients, Oleg Tatarov et&#xa0;al. compared prostate tumor samples taken before hormone deprivation therapy and following hormone relapse from 50 patients by immunohistochemistry (<xref ref-type="bibr" rid="B10">10</xref>). They found that the expression of total Src and phospho-SrcY527 representing an inactive form of SFKs in the cytoplasm decreased in the transition from CSPC to CRPC, while more intense membrane staining of overall SFK member Lyn was observed in CRPC samples when compared with CSPC (<xref ref-type="bibr" rid="B10">10</xref>). There was no change found in the expression of SFK member Fgr (<xref ref-type="bibr" rid="B10">10</xref>). In addition, SFK activity was upregulated in 28% of patients with CRPC compared to patients with CSPC (<xref ref-type="bibr" rid="B10">10</xref>). However, only a subset of AIPC patients may be suitable for SFK inhibitor therapy. The single-agent activity of SFK inhibitors in PCa clinical trials is disappointing (<xref ref-type="bibr" rid="B11">11</xref>). A study has shown that Semaphorin 3C (SEMA3C) drives the activation of multiple receptor tyrosine kinase pathways including EGFR, HER2/ErbB2, MET, and SRC, so inhibition of only one pathway may not be sufficient because other compensatory receptor tyrosine kinase pathways are simultaneously activated (<xref ref-type="bibr" rid="B11">11</xref>). James W Peacock et&#xa0;al. examined the expression of SEMA3C in a panel of human PCa specimens representing untreated hormone naive and CRPC bone metastases and observed that increased SEMA3C expression was correlated with CRPC bone metastases (<xref ref-type="bibr" rid="B11">11</xref>). Ring finger protein 6&#xa0;(RNF6), an ubiquitin E3 ligase, may potentially be a new therapeutic target of CRPC (<xref ref-type="bibr" rid="B13">13</xref>). Kexin Xu et&#xa0;al. found that nuclear staining of RNF6 in CRPC tissues was remarkably higher than those in CSPC tissues (<xref ref-type="bibr" rid="B13">13</xref>). Furthermore, the frequency of detection of RNF6 positive nuclear staining was significantly increased in CRPC tissues compared to the CSPC tissues (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>In addition to kinases above, there are other proteins that change during prostate cancer progression to CRPC. A previous study discovered that yes-associated protein 1 (YAP1), which plays a crucial role in the mammalian hippo signaling pathway and AR, formed a protein complex in the nucleus of prostate cancer cells (<xref ref-type="bibr" rid="B43">43</xref>). In addition, the YAP1&#x2013;AR interactions are androgen-independent and resistant to enzalutamide in CRPC (<xref ref-type="bibr" rid="B43">43</xref>). AR-V7 is truncated after canonical AR exon 3, with inclusion of a cryptic exon 3b (CE3b) derived from an intron in the expressed protein (<xref ref-type="bibr" rid="B44">44</xref>). Jonathan Welti et&#xa0;al. found that nuclear AR-V7 expression was significantly higher in CRPC compared to CSPC (<xref ref-type="bibr" rid="B14">14</xref>). The authors further demonstrated a reverse trend with a decrease in nuclear AR-V7 in a small subset of CRPC, which might be explained by an increase in other AR variants that are constitutively active (<xref ref-type="bibr" rid="B14">14</xref>). Similarly, Arnaud Blomme et&#xa0;al. discovered that expression of the AR-V7 variant significantly increased in Bicalutamide-resistant cells while decreased or did not change in the apalutamide- and enzalutamide resistant cells (<xref ref-type="bibr" rid="B6">6</xref>). Yoshinori Matsuda et&#xa0;al. also found that higher nuclear YAP (nYAP) expression was expressed in a docetaxel-resistant subline (22RV-1-DR) compared to parental 22Rv-1 and knockdown of YAP1 inhibited 22Rv1-DR cell proliferation (<xref ref-type="bibr" rid="B45">45</xref>). Another study using immunohistochemistry also demonstrated that YAP1 and p21-activated kinase 2 (PAK2), a regulator of cell motility that mediates the actions of Cdc42 and Rac small GTPases, were increased in castration-resistant tumors (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>). Moreover, nYAP expression is an independent prognostic factor in high-risk patients treated with docetaxel-based chemohormonal therapy (<xref ref-type="bibr" rid="B45">45</xref>). Therefore, the interaction between AR, including its splice variants and hippo pathway proteins as tissue biomarkers in CRPC, should be further investigated. Transmembrane serine protease 2 (TMPRSS2) is a prostate-specific and androgen-responsive serine protease which is frequently rearranged at the genomic level with members of the E26 transformation-specific (ETS) gene family (<xref ref-type="bibr" rid="B48">48</xref>). The most frequent fusion involves the &#x201c;ETS-related gene&#x201d; or &#x201c;ERG&#x201d; occurring in approximately 40%&#x2013;50% of primary PCa (<xref ref-type="bibr" rid="B21">21</xref>). Nuclear ERG protein expression was observed to be less frequent in CRPC compared with primary PCa by immunohistochemistry (<xref ref-type="bibr" rid="B21">21</xref>). HLA-DMB, a protein involved in inflammation, association with ERG was decreased in CRPC metastases compared with primary PCa (<xref ref-type="bibr" rid="B21">21</xref>). And CD3 cell number association with ERG was found to change from positive to negative in CRPC metastases when compared with primary PCa (<xref ref-type="bibr" rid="B21">21</xref>). Furthermore, expression of DCLK1 shows correlation with ERG expression and may play a role in the transformation of primary PCa to metastatic CPRC which deserves further study (<xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>Several studies have found that changes in phosphorylation pattern of proteins could also be observed during transformation of CSPC to CRPC. Phosphorylation is a reversible posttranslational modification that can inform about the activity status of kinase-driven signaling pathways (<xref ref-type="bibr" rid="B19">19</xref>). A study found that nearly 50% of CRPC tissues showed higher expression levels of overall tyrosine phosphorylation than hormone naive prostate cancer (<xref ref-type="bibr" rid="B49">49</xref>). Justin M et&#xa0;al. analyzed metastatic CRPC and treatment naive tissues by quantitative label free mass spectrometry, and 297 phosphotyrosine peptides and 8051 hosphoserine/phosphothreonine peptides were identified from 54 total runs corresponding to 27 samples of interest (11 treatment-naive,16 metastatic CRPC) (<xref ref-type="bibr" rid="B50">50</xref>).</p>
</sec>
<sec id="s2_2">
<title>The Expression Pattern of Emerging Proteins in Cell Lines</title>
<p>Cell lines are a good model for studies about prostate cancer to find the expression pattern of proteins, for the reason that different conditions and variations in patients can be mimicked to be observed and it would not have been able to be assessed otherwise. In addition, the majority of interventional studies can be carried out without being affected by other variables (<xref ref-type="bibr" rid="B42">42</xref>). Some proteins were discovered by traditional techniques such as western blotting (WB), while some new proteins were discovered by mass spectrometry.</p>
<p>Some proteins have been found expressed differently between CSPC and CRPC by traditional techniques such as WB. ACTN4, a member of the spectrin gene superfamily, always acts as an oncogene in various cancer types (<xref ref-type="bibr" rid="B23">23</xref>). To identify novel therapeutic targets for CRPC, Yu Ishizuya et&#xa0;al. applied WB to examine the expression of ACTN4 in four prostate cancer cell lines (<xref ref-type="bibr" rid="B8">8</xref>). It was shown that ACTN4 expression level was higher in DU145 cells and PC-3 cells than in LNCaP cells (<xref ref-type="bibr" rid="B8">8</xref>). Sungyeon Park et&#xa0;al. also verified that the protein level of ACTN4 was increased in LNCaP-AI cells compared with LNCaP cells (<xref ref-type="bibr" rid="B23">23</xref>). A previous study reported that ACTN4 interacts with glucocorticoid receptor and plays a role in glucocorticoid receptor activation (<xref ref-type="bibr" rid="B51">51</xref>). However, restored glucocorticoid receptor expression is crucial for CRPC cell proliferation during the CRPC transition (<xref ref-type="bibr" rid="B52">52</xref>). Therefore, the molecular mechanism of ACTN4 in CRPC transition deserves further study. Another study using WB revealed a significant deregulation of transducin beta like related 1 (TBLR1), which is a transcriptional coactivator of androgen receptor (AR) when prostate cancer progresses to CRPC (<xref ref-type="bibr" rid="B24">24</xref>). TBLR1, also known as TBL1XR1, a core component of the nuclear receptor corepressor complex and a silencing mediator of retinoic acid and thyroid receptor complex, which was significantly important for the regulation of multiple nuclear receptors, functions as a tumor suppressor when expressed in the nucleus in prostate (<xref ref-type="bibr" rid="B53">53</xref>&#x2013;<xref ref-type="bibr" rid="B56">56</xref>). The expression level of cytoplasmic TBLR1 was moderately higher in PCa cells than benign prostate cells (<xref ref-type="bibr" rid="B24">24</xref>). CRPC cells express higher levels of TBLR1 cytoplasmic expression and lower levels of nuclear expression compared with CSPC (<xref ref-type="bibr" rid="B24">24</xref>). In addition, a cytoplasmic specific isoform of TBLR1 approximately 5 kDa was observed lower in molecular weight, which expressed higher levels in CRPC cells (<xref ref-type="bibr" rid="B24">24</xref>). Interestingly, Madeleine Saupe et&#xa0;al. discovered that one of the major contributors to chemoresistance in solid cancer entities, multidrug resistance 1 (MDR1), is of less importance for drug resistance in PCa cells (<xref ref-type="bibr" rid="B25">25</xref>). They examined expression of MDR1 in the established PCa cell lines 22Rv1, LNCaP, and PC-3 by WB and found that MDR1 basal expression only could be detected in the PCa cell line 22Rv1 (<xref ref-type="bibr" rid="B25">25</xref>). However, MDR1 expression level did not change when incubation of 22Rv1 cells with cabazitaxel, docetaxel, and abiraterone (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>Enzymes involved in the androgen and metabolic pathway are always regulated in CRPC cells. To identify novel therapeutic targets for CRPC therapy, a study investigated the expression of p66Shc in PCa (<xref ref-type="bibr" rid="B27">27</xref>). p66Shc, a 66 kDa proto-oncogene Src homologous-collagen homologue adaptor protein, mediates receptor tyrosine kinase signal transduction and was identified as a sensor for apoptosis induced by oxidative stress (<xref ref-type="bibr" rid="B57">57</xref>). Matthew A. Ingersoll et&#xa0;al. discovered that LNCaP-AS cells expressed relatively lower levels of p66Shc protein compared to AR-negative AI PC-3 and DU145 cells (<xref ref-type="bibr" rid="B27">27</xref>). Another study also verified that p66Shc protein level was increased in LNCaP-AI and VCaP-AI cells compared with their AS counterparts (<xref ref-type="bibr" rid="B28">28</xref>). An interesting study demonstrated that intrinsically disordered proteins conformational dynamics also played a role in driving phenotypic heterogeneity (<xref ref-type="bibr" rid="B58">58</xref>). Prostate-Associated Gene 4 (PAGE4) is an intrinsically disordered protein that functions as a potentiator of the Activator Protein-1 (AP-1) transcription factor (<xref ref-type="bibr" rid="B58">58</xref>). Homeodomain-Interacting Protein Kinase 1 (HIPK1) acts on PAGE4 phosphorylates it at T51 and S9, while CDC-Like Kinase 2 (CLK2) hyperphosphorylates PAGE4 at multiple S/T residues, including T51 and S9 (<xref ref-type="bibr" rid="B58">58</xref>). HIPK1 was identified to express in both CSPC and CRPC cells, but the expression of CLK2 and PAGE4 was only discovered in CSPC cells (<xref ref-type="bibr" rid="B58">58</xref>). HIPK1-phosphorylated PAGE4 exhibited a relatively compact set of conformations bound to AP-1, but CLK2-phosphorylated PAGE4 was more extended, resembling random coils with reduced affinity for AP-1 (<xref ref-type="bibr" rid="B58">58</xref>). The result indicated that conformational dynamics of PAGE4 played a role in PCa progression to CRPC (<xref ref-type="bibr" rid="B58">58</xref>).</p>
<p>In order to identify new biomarkers, proteomic technologies such as 2DE-MS, MALDI-MS and SELDI-MS, and i-TRAQ are widely used in PCa and a majority of proteins regulated are discovered during prostate cancer progression to CRPC (<xref ref-type="bibr" rid="B59">59</xref>). In a study using quantitative proteomics, 203 differential proteins in total were differentially expressed in LNCaP and PC3 cells (<xref ref-type="bibr" rid="B29">29</xref>). Vinculin (VCL), an actin filament-binding protein, and Filamin C (FLNC), an important component of cytoskeleton, were observed to have significantly higher expression in PC3 cells when compared to LNCaP cells (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>In another study using established androgen-dependent (AD) and androgen-independent (AI) murine PCa cell lines, PLum-AD and PLum-AI, respectively, a total of 683 proteins were identified, among which 99 were significantly regulated in PLum-AI cells compared to PLum-AD cells (45 increased and 54 decreased) by Liqui Chromatography (LC)&#x2013;Mass Spectrometer (MS)/MS Analysis (<xref ref-type="bibr" rid="B31">31</xref>). Among them, eight proteins (Comt, Rps11, Nos2, Oxr1, Pck2, Grb10, Cat, Nqo1) were only identified in PLum-AI cells while 12 proteins (Acat2, Fdps, Epcam, Casp3, Tpd52, Ap1s1, Atp6v1g1, Hnrnpul2, Xpnpep1, Hmgcs1, Oasl1, Ifit1) were exclusively observed in PLum-AD cells (<xref ref-type="bibr" rid="B31">31</xref>). Furthermore, EpCAM and caspase 3 were significantly decreased in PLum-AI cells, while vimentin and catalase were found to highly increase in PLum-AI cells (<xref ref-type="bibr" rid="B31">31</xref>). Biological process gene ontology (GO) analysis of the differentially expressed proteins demonstrated enrichment of biological functions and pathways in PLum-AI cells that are central to PI3 kinase and androgen receptor pathways (<xref ref-type="bibr" rid="B31">31</xref>). Besides, other relevant biological processes that are enriched in PLum-AI cells included cell adhesion and cell migration processes, cell and DNA damage, apoptosis, and cell cycle regulation (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>To understand the mechanisms leading to CRPC transformation, the proteomes of LNCaP cell line and its androgen-independent derivative, LNCaP-SF, were compared by MS (<xref ref-type="bibr" rid="B33">33</xref>). The result showed that 42 proteins were upregulated while 46 proteins were downregulated in LNCaP-SF cells compared to LNCaP cells (<xref ref-type="bibr" rid="B33">33</xref>). Interestingly, five proteins of the ketogenesis pathway (BDH1, HMGCL, HMGCS2, ACAT1, and OXCT1) were increased in LNCaP-SF cells (<xref ref-type="bibr" rid="B33">33</xref>). Additionally, it was discovered that ACAT1, HMGCS2, BDH1, and HMGCL all displayed significantly higher expression in the LuCaP 96AI xenograft-derived cells (<xref ref-type="bibr" rid="B33">33</xref>).</p>
<p>Naseruddin H&#xf6;ti et&#xa0;al. found that a glycosylation-related enzyme, FUT8, was increased in CRPC and responsible for resistance to androgen deprivation by LC-MS/MS (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B35">35</xref>). To dissect the mechanism of castration resistance, proteomic studies have also been conducted by comparing castration-resistant LNCaP-95 cells and LNCaP cells (<xref ref-type="bibr" rid="B37">37</xref>). A total of 1883 proteins altered between the two cell types (<xref ref-type="bibr" rid="B37">37</xref>). Significant involvement of metabolic pathways was shown to increase in LNCaP-95 cells (<xref ref-type="bibr" rid="B37">37</xref>). Furthermore, amplification of PI3K/AKT pathway and proteasome proteins overexpression were also discovered (<xref ref-type="bibr" rid="B37">37</xref>). Conversely, the mitochondrial oxidation phosphorylation was severely inhibited in castration-resistant LNCaP-95 cells relative to LNCaP cells (<xref ref-type="bibr" rid="B37">37</xref>). Interestingly, the author discovered that Dicer, a cytoplasmic endoribonuclease microRNA regulator, was induced in LNCaP-95 prostate cancer cells (<xref ref-type="bibr" rid="B37">37</xref>). Another study performed an integrative proteomic analysis and found that 15 proteins could promote androgen-resistance acquisition (<xref ref-type="bibr" rid="B38">38</xref>). It was also verified that 11 out of these 15 proteins correlated with biological processes involved in PCa progression (<xref ref-type="bibr" rid="B38">38</xref>). Comparing CSPC with CRPC, ZHANG Xiaobo et&#xa0;al. found that 11 membrane proteins were differently expressed, such as the aER60 precursor, Neural-Cadherin precursor, Claudin-4, and so on (<xref ref-type="bibr" rid="B60">60</xref>). The expression level of Claudin-4 in PC-3 cells was discovered to be higher than in LNCaP cells by Immunofluorescence (<xref ref-type="bibr" rid="B60">60</xref>).</p>
<p>Recently, a study found that 13 proteins were differentially expressed comparing AR inhibitors (ARI)-resistant cell lines with WT LNCaP cells, such as SQRDL, EPHX1 (<xref ref-type="bibr" rid="B6">6</xref>). Among these proteins, DECR1 was found to consistently increase in ARI-resistant cells as compared to WT LNCaP cells (<xref ref-type="bibr" rid="B6">6</xref>). Moreover, other proteins differentially expressed in CRPC and CSPC, such as PGP 9.5, stathmin, ICAM-1, purine-rich element binding protein &#x3b1; and ChA, were also discovered by proteomic studies (<xref ref-type="bibr" rid="B61">61</xref>&#x2013;<xref ref-type="bibr" rid="B64">64</xref>).</p>
<p>In addition to changes in the expression levels, epigenetic changes have also been studied in cell lines in recent years. For instance, Ravi Pathak et&#xa0;al. found that the number of cellular proteins undergoing acetylation was more in the CSPC with respect to the CRPC (<xref ref-type="bibr" rid="B65">65</xref>).</p>
</sec>
<sec id="s2_3">
<title>The Expression Pattern of Emerging Proteins in Serum</title>
<p>Although biopsies are considered to be the &#x201c;gold standard&#x201d; for the diagnosis of prostate cancer, biopsies are invasive and are associated with complications such as bleeding and sepsis. Biopsy also has the problem of false negative caused by ineffective sampling, which means it is necessary to carry out more research on non-invasive body fluids. However, in recent years, there has been little research in the area about altered proteins in serum in prostate cancer when progressing to CRPC.</p>
<p>Although serum PSA is widely used in the diagnosis and treatment of prostate cancer, it is highly expressed in both benign and malignant prostate epithelium. Therefore, a more specific serum marker needs to be found. Human &#x3b2;-2-microglobulin (B2M) was more specific for androgen stimulation under the conditions tested compared with PSA and discovered in the serum of mice which bear human prostate cancer xenograft (<xref ref-type="bibr" rid="B66">66</xref>). It was also found to express in human prostate cancer tissues and cell lines (<xref ref-type="bibr" rid="B66">66</xref>). Importantly, serum B2M levels were increased in metastatic CRPC patients (<xref ref-type="bibr" rid="B66">66</xref>). Further studies are warranted to investigate if B2M could be a useful marker for PCa. Another study also investigated the marker for treatment of metastatic CRPC patients by analyzing the expression levels of three EMT-related proteins (<xref ref-type="bibr" rid="B67">67</xref>). Integrin &#x3b1;4 is a &#x2018;&#x2018;matricellular&#x2019;&#x2019; protein receptor that forms a complex with integrin &#x3b2;7 or &#x3b2;1, which then adheres to fibronectin (<xref ref-type="bibr" rid="B67">67</xref>). Fibronectin is a crucial ECM glycoprotein as an actor in both pathological and physiological processes (<xref ref-type="bibr" rid="B67">67</xref>). When comparing blood samples of benign prostatic hyperplasia patients and a healthy control group with the metastatic castration-resistant prostate cancer patients, Ece Konac et&#xa0;al. discovered a decreased integrin-&#x3b1;4 expression in metastatic castration-resistant prostate cancer patients, although being statistically insignificant (<xref ref-type="bibr" rid="B67">67</xref>). It was significant that protein expressions of periostin and fibronectin increased in the metastatic castration-resistant prostate cancer patients compared with BPH and heathy groups (<xref ref-type="bibr" rid="B67">67</xref>). Elevated periostin expression in metastatic patients was identified to correlate with bone metastasis (<xref ref-type="bibr" rid="B67">67</xref>). Interestingly, a study demonstrated that increased serum tissue inhibitor of metalloproteinase 1 (TIMP-1) expression in CRPC correlated with neuroendocrine differentiation of PCa (<xref ref-type="bibr" rid="B40">40</xref>). Yixuan Gong et&#xa0;al. found that serum TIMP-1 expression is increased in CRPC patients compared to CSPC patients (<xref ref-type="bibr" rid="B40">40</xref>). Also, elevated TIMP-1 levels correlated with higher chromogranin A and lower PSA levels in sera, features consistent with neuroendocrine prostate cancer (<xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>To make it clear whether the quantity of antibodies or the types of proteins changes with prostate cancer progression, serum samples from newly diagnosed localized prostate cancer, castration-sensitive non-metastatic prostate cancer, castration-resistant non-metastatic prostate cancer, and castration-resistant metastatic disease were analyzed (<xref ref-type="bibr" rid="B68">68</xref>). The study revealed the largest change in composition of recognized antibody targets occurred between patients with castration-sensitive and castration-resistant disease, such as C12orf51, RPL22L1, and TBL1XR1 (<xref ref-type="bibr" rid="B68">68</xref>). GO analysis identified differences between patients with castration-sensitive and castration-resistant disease in recognition of proteins associated with amide metabolism, chromatin structure, nucleic acid binding, and protein localization to the membrane (<xref ref-type="bibr" rid="B68">68</xref>). Another study using two-dimensional differential in-gel electrophoresis and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, nine proteins were found to express differently in the serum samples collected at diagnosis compared with those after ADT (<xref ref-type="bibr" rid="B69">69</xref>). It was further found that clusterin (CLU) expression was 1.51-fold higher and transthyretin expression was 1.58-fold lower in the sera of post-ADT patients with respect to those from pre-ADT patients (<xref ref-type="bibr" rid="B69">69</xref>).</p>
<p>It was suggested that inflammation can promote the development of prostate cancer. Evidence from lots of studies showed that many biomarkers associated with prostatic inflammation diseases also existed in prostate cancer (<xref ref-type="bibr" rid="B70">70</xref>). Gilbert J. Wise et&#xa0;al. discovered that the anti-inflammatory Th2 cytokines IL-4, IL-6, and IL-10 were significantly increased in the hormone refractory group compared with hormone sensitive group by enzyme-linked immunosorbent assay (<xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>Docetaxel chemotherapy improves survival and symptoms in men with metastatic CRPC. However, 50% of patients were resistant to Docetaxel (<xref ref-type="bibr" rid="B71">71</xref>). Using Docetaxel-sensitive PC3 cells and Docetaxel resistant PC3-Rx cells, Liangli Zhao et&#xa0;al. found that MIC-1 and AGR2 were increased and decreased in Docetaxel resistant cells by protein profiling in serum (<xref ref-type="bibr" rid="B71">71</xref>). Caspase-cleaved proteins are released from disintegrated apoptotic cells, which could be detected in the circulation (<xref ref-type="bibr" rid="B72">72</xref>). G Kramer et&#xa0;al. evaluated a total of 82 patients with CRPC and discovered that caspase-cleaved cytokeratin 18 (CK18-Asp396) and total CK18 were significantly upregulated induced by Docetaxel in serum (<xref ref-type="bibr" rid="B72">72</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>The Function of Emerging Proteins in CRPC</title>
<p>Recently, a majority of studies were carried out to investigate the function of the emerging proteins. It was widely verified that proteins could play a crucial role in growth, invasion, and metastasis of CRPC. (Exhibited in <xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1</bold>
</xref>&#x2013;<xref ref-type="fig" rid="f3">
<bold>3</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The role of emerging proteins in CRPC growth, invasion and metastasis. The emerging proteins involved in CRPC growth are showing as golden, and the proteins involved in CRPC invasion and metastasis are showing as green. The proteins involved in both CRPC growth and CRPC invasion and metastasis are showing as orange.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-873876-g001.tif"/>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The role of emerging proteins in CRPC metabolism.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-873876-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The role of emerging proteins in CRPC immune microenvironment.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-873876-g003.tif"/>
</fig>
<sec id="s3_1">
<title>CRPC Growth</title>
<p>Many proteins have been shown to play a key role in the growth of CRPC through gene silencing and other gene editing methods. Knockdown of RNF6 was found to attenuate the growth of CWR-R1 and C4-2B in androgen-depleted media (<xref ref-type="bibr" rid="B13">13</xref>). Additionally, it was found that RNF6 may function by regulating AR target genes and suppressing androgen-suppressed gene BMF which was a proapoptotic member of BCL2 family proteins (<xref ref-type="bibr" rid="B13">13</xref>). In addition, silencing of SEMA3C resulted in reduced cell growth that was rescued by the addition of recombinant SEMA3C: Fc in DU145 cells (<xref ref-type="bibr" rid="B11">11</xref>). It was discovered that increased SEMA3C expression was correlated with CRPC bone metastases (<xref ref-type="bibr" rid="B11">11</xref>). Yu Ishizuya et&#xa0;al. discovered that ACTN4 was increased in DU145 cells as well as exosomes from this cell line (<xref ref-type="bibr" rid="B8">8</xref>). Downregulation of ACTN4 expression by siRNA in DU145 cells significantly attenuated cell growth (<xref ref-type="bibr" rid="B8">8</xref>). Checkpoint Kinase 2 (CHK2) were identified to play a role in CRPC growth (<xref ref-type="bibr" rid="B73">73</xref>). To identify signaling pathways regulating cell growth of PCa, a high-throughput RNAi screen was used by Huy Q Ta et&#xa0;al. and discovered that knockdown of CHK2 significantly increased the growth of PCa and hypersensitized cells to low androgen levels (<xref ref-type="bibr" rid="B73">73</xref>). Similarly, knockdown of epithelial cell adhesion molecule (EpCAM) resulted in decreased proliferative and clonogenic ability in PC-3, DU145, and C4-2B cells (<xref ref-type="bibr" rid="B32">32</xref>). Another study demonstrated that after transfecting LNCaP-AI cells with p66Shc shRNA, there was a reduced cell proliferation in LNCaP-AI cells (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>In contrast, overexpression of FUT8 in prostate cancer cells was discovered to promote the proliferation of cells in androgen-ablated conditions (<xref ref-type="bibr" rid="B35">35</xref>). In addition, FUT8 overexpression by transfecting plasmid DNA carrying FUT8 gene contributed to increased level of cell surface epidermal growth factor receptor (EGFR) and corresponding downstream signaling, resulting in increased cell survival in androgen-depleted conditions (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>The Rab-proteins and endosomal sorting complexes crucial for transport (ESCRT) machinery were important in vesicular trafficking and secretion (<xref ref-type="bibr" rid="B74">74</xref>, <xref ref-type="bibr" rid="B75">75</xref>). RAB27A, RAB27B, and VPS36, which were components of rab-proteins and ESCRT machinery, respectively, were verified to be prognostic biomarker for patients with localized PCa (<xref ref-type="bibr" rid="B76">76</xref>). It was shown by qRT-PCR that PCa tissue expressed low levels of VPS36, especially in CRPC tissues (<xref ref-type="bibr" rid="B76">76</xref>). Interestingly, knockdown of RAB27B and VPS36 significantly decreased colony formation but did not reduce the growth of PC3 cells (<xref ref-type="bibr" rid="B76">76</xref>). Golgi phosphoprotein 3 (GOLPH3) has been identified to be a highly conserved Golgi membrane protein using proteomic analysis of the Golgi apparatus and showed to regulate the mitochondrial lipids as a mitochondrial protein (<xref ref-type="bibr" rid="B77">77</xref>&#x2013;<xref ref-type="bibr" rid="B79">79</xref>). GOLPH3 protein expression was significantly increased in PCa, especially in two androgen-independent cell lines, PC-3 and DU145 (<xref ref-type="bibr" rid="B80">80</xref>). Silencing GOLPH3 expression suppressed cell proliferation of PC-3 by inhibiting phosphorylation of AKT and mTOR (<xref ref-type="bibr" rid="B80">80</xref>). In addition, aspartyl (asparaginyl) &#x3b2;hydrolase (ASPH) is a transmembrane protein and it was reported that ASPH silencing decreased cell proliferation, invasion, and cyclin D1 expression level through regulation of the NOTCH signaling (<xref ref-type="bibr" rid="B39">39</xref>). Similarly, Masahiro Sugiura et&#xa0;al. found that AR-V7 knockdown lead to suppression of CRPC growth by activating both common AR/AR-V7 target and specific AR-V7 target (<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>Moreover, transcriptional repressor REST was found to play a role in CRPC cell proliferation (<xref ref-type="bibr" rid="B5">5</xref>). REST depletion resulted in cell cycle arrest in G1, which could be rescued by knockdown of p53 (<xref ref-type="bibr" rid="B5">5</xref>). Therefore, it was indicated that REST loss had a negative regulation of cell cycle progression by the activation of the p53 pathway (<xref ref-type="bibr" rid="B5">5</xref>). Similarly, Arnaud Blomme et&#xa0;al. found that DECR1 deletion led to decreased CRPC tumor growth (<xref ref-type="bibr" rid="B6">6</xref>). The normal epithelial cell-specific-1 (NES1) gene is also named as KLK10 which is a member of the kallikrein family and encodes human kallikrein 10 (hK10) (<xref ref-type="bibr" rid="B81">81</xref>). It was reported that KLK10 decelerated CRPC proliferation (<xref ref-type="bibr" rid="B82">82</xref>). Jiajia Hu et&#xa0;al. obtained a high-purity KLK10-expressed stable cell line PC3-KLK10 by reconstructed lentiviral vector, and they found that over-expressing KLK10 in PC3 could decrease tumor proliferation and increase apoptosis and inhibit glucose metabolism at the same time (<xref ref-type="bibr" rid="B82">82</xref>). Furthermore, a negative feedback loop was investigated between KLK10 and Bcl-2/HK-2 (<xref ref-type="bibr" rid="B82">82</xref>).</p>
<p>Some studies used drugs to inhibit protein function to study its effect on the growth of CRPC. YAP1 and PAK2 were also reported to regulate the growth in CRPC (<xref ref-type="bibr" rid="B19">19</xref>). A MS-based quantitative proteomic approach was implemented and YAP1 and PAK2 were identified to change in phosphorylation comparing protein phosphorylation in orthotopic xenograft tumors which were grown in either intact or castrated mice (<xref ref-type="bibr" rid="B19">19</xref>). Furthermore, elevated levels of PAK2 and YAP1 in clinical samples of CRPC were also demonstrated (<xref ref-type="bibr" rid="B19">19</xref>). PAK2 regulated cell proliferation and mitotic timing (<xref ref-type="bibr" rid="B19">19</xref>). The growth of androgen-independent PC3 xenografts could be inhibited by pharmacologic inhibitors of PAK2 (PF-3758309) and YAP1 (Verteporfin) (<xref ref-type="bibr" rid="B19">19</xref>). Similarly, Oleg Tatarov et&#xa0;al. found that src inhibition by dasatinib resulted in reduced migration and proliferation of CRPC cells (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>In addition, Serum and glucocorticoid-induced protein kinase 1 (SGK1), a member of the &#x2018;AGC&#x2019; subfamily, was reported by us to play an important role in cancer development (<xref ref-type="bibr" rid="B83">83</xref>). We have previously investigated that inhibition of SGK1 by either GSK650394 or SGK1 shRNA led to decreased cell viability in PC3 cells by inducing autophagy-dependent apoptosis <italic>via</italic> the mTOR-Foxo3a pathway (<xref ref-type="bibr" rid="B84">84</xref>).</p>
<p>Signaling axis also has been found to promote the growth of the CRPC. Matrix metalloproteinases 9 (MMP9) was found to correlate with AR protein expression in the tissues of primary and metastatic PCa and high MMP9 expression level correlated with poor prognosis (<xref ref-type="bibr" rid="B85">85</xref>). Constitutive activation of AR upregulated expression level of MMP9 and VEGF/VEGF receptors (<xref ref-type="bibr" rid="B85">85</xref>). Furthermore, it was shown that AR influences MMP9/VEGF signaling axis <italic>via</italic> PIP5K1&#x3b1;/AKT and MMP9 physically interacted with PIP5K1&#x3b1; through formation of protein&#x2013;protein complexes (<xref ref-type="bibr" rid="B85">85</xref>). The elevated sequential activation of AR/PIP5K1&#x3b1;/AKT/MMP9/VEGF signaling axis resulted in increased invasiveness and growth of metastatic CRPC (<xref ref-type="bibr" rid="B85">85</xref>). Conversely, treated with PIP5K1&#x3b1; inhibitor, invasion activity of CRPC cells expressing activated AR were dramatically repressed (<xref ref-type="bibr" rid="B85">85</xref>). Similarly, Musashi2 (MSI2) belongs to the evolutionarily conserved Musashi RBP family and downregulation of MSI2 was reported to reduce CRPC cell proliferation by regulation of AR (<xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B87">87</xref>). Moreover, IL-8 signaling was reported to regulate cyclin D1 expression and activate signal transduction pathways underpinning CRPC cell proliferation (<xref ref-type="bibr" rid="B88">88</xref>).</p>
</sec>
<sec id="s3_2">
<title>CRPC Invasion and Metastasis</title>
<p>We have previously discovered that inhibition of SGK1 induced autophagy contributed to reduced EMT by the downregulation of snail, leading to decreased cell migratory ability of PC3 (<xref ref-type="bibr" rid="B89">89</xref>). Similarly, p66Shc was reported to promote the migratory activity of PCa cells including CRPC cells (<xref ref-type="bibr" rid="B27">27</xref>). Matthew A. Ingersoll et&#xa0;al. found that higher p66Shc expression was correlated with high cell migratory ability across several PCa cell lines (<xref ref-type="bibr" rid="B27">27</xref>). PCa cells expressing low levels of p66Shc could be induced to metastasize by peroxide treatment in a dose-dependent manner (<xref ref-type="bibr" rid="B27">27</xref>). Highly expressed p66Shc in PCa cells increased the cell migratory ability which could be attenuated by p66Shc shRNA transfection or expression of oxidase-deficient dominant-negative p66Shc W134F mutant (<xref ref-type="bibr" rid="B27">27</xref>). Furthermore, Rac1, a protein that was activated in p66Shc-elevated cells, was validated and it was shown that p66Shc promoted formation of lamellipodia through Rac1 activation indicating (<xref ref-type="bibr" rid="B27">27</xref>).These results indicated that p66Shc increases cell migratory ability through ROS-mediated activation of migration-associated proteins, especially Rac1 (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>In addition, VCL and FLNC were also verified to play a critical role in CRPC cell metastasis (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Jianzhong Ai et&#xa0;al. discovered that knockdown of VCL and FLNC gene expression significantly decreased PCa cell metastasis (<xref ref-type="bibr" rid="B30">30</xref>). To analyze the link between chemokine CXCL1 and neutrophil-derived cytokines LCN2, Yongning Lu et&#xa0;al. found that CXCL1-LCN2 axis activates Src signaling and triggers the epithelial-mesenchymal transition (EMT), resulting in enhanced tumor metastasis (<xref ref-type="bibr" rid="B90">90</xref>).</p>
<p>Bromodomain and Extraterminal domain (BET) proteins (BRD2, BRD3, BRD4, and testis-specific BRDT) are a family of chromatin-associated proteins that could detect and bind to acetylated lysine residues on nucleosomal histone tails resulting in regulation of gene expression (<xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B92">92</xref>). Jordan S. Shafran et&#xa0;al. discovered that BRD4 reduced cell migration of all models of CRPC, but BRD2 and BRD3 only modulated migration and invasion in less aggressive models which kept AR signaling (<xref ref-type="bibr" rid="B93">93</xref>). Moreover, these researchers found that BRD4 regulated CRPC cell migration and invasion through transcription of AHNAK (<xref ref-type="bibr" rid="B93">93</xref>).</p>
<p>ACTN4 was also identified to promote CRPC invasion (<xref ref-type="bibr" rid="B8">8</xref>). Knockdown of ACTN4 inhibited cell invasion in DU145 cells (<xref ref-type="bibr" rid="B8">8</xref>). In addition, knockdown of YAP1 and PAK2 both reduced cell colony formation and cell invasion activity also suggested an important factor in CRPC invasion (<xref ref-type="bibr" rid="B19">19</xref>). Similarly, AR-V7 positivity associated with a higher bone, or any site, metastasis in CRPC (<xref ref-type="bibr" rid="B16">16</xref>). Moreover, knockdown of EpCAM contributed to reduced invasion in PC-3, DU145, and C4-2B cells (<xref ref-type="bibr" rid="B32">32</xref>). Xiangchun Wang et&#xa0;al. found that loss of FUT8 in PC3 cells resulted in decreased cell motility (<xref ref-type="bibr" rid="B36">36</xref>). PSA was crucial in development of CRPC and Haoyong Li et&#xa0;al. investigated that PSA promoted the apoptosis <italic>in vitro </italic>(<xref ref-type="bibr" rid="B94">94</xref>). Conversely, PSA knockdown decreased tumorigenesis and metastasis of C4-2 cells <italic>in vitro</italic> and <italic>in vivo (</italic>
<xref ref-type="bibr" rid="B94">94</xref>). And PSA may promote the tumorigenesis by mediating MCM4 (<xref ref-type="bibr" rid="B94">94</xref>).</p>
<p>To identify the mechanism correlated with more distant metastasis, kinases differentially expressed between the CRPC cell lines PC-3 and PC-3M, which was a metastasis-derived variant of PC-3 cells, were analyzed by MS-based comparative phosphoproteome strategy (<xref ref-type="bibr" rid="B95">95</xref>). In this study, 151 phosphoproteins differently expressed between the CRPC cell lines PC-3 and PC-3M were identified (<xref ref-type="bibr" rid="B95">95</xref>). Seven motifs, -SP-, -SxxE-, -PxS-, -PxSP-, -SxxK-, -SPxK-, and -SxxxxxP-, were discovered to express a higher level in PC-3M cells compared to PC-3 cells (<xref ref-type="bibr" rid="B95">95</xref>). Based on these motifs, the kinases Ste20-like kinase (SLK), p21-activated kinase (PAK)2, mammalian Ste20-like kinase (MST)4, A-Raf proto-oncogene serine/threonine kinase (ARAF), and mitogenactivated kinase kinase (MAP2K)2 were increased in PC-3M cells relative to PC-3 cells, suggesting that MST4, MAP2K2, ARAF, PAK2, and SLK are kinases potentially associated with increased migratory ability (<xref ref-type="bibr" rid="B95">95</xref>).</p>
</sec>
<sec id="s3_3">
<title>CRPC Metabolism</title>
<p>AR play a crucial role in regulation of metabolism in PCa cells throughout the transition from early-stage, androgen-sensitive CSPC to androgen-independent CRPC (<xref ref-type="bibr" rid="B96">96</xref>). It was reported that AR is reprogrammed to increase fatty acid synthesis (FAS) from glucose in CRPC cells (<xref ref-type="bibr" rid="B6">6</xref>). Comparing the proteomes of three pairs of CSPC and CRPC cell lines, the researchers found that most of the differentially expressed proteins between each pair function in metabolism (<xref ref-type="bibr" rid="B6">6</xref>). PPARG, PGC1A, NR1H2, NR1H3, GLUT1, ACC, and ACLY are all metabolism-related proteins and have changed during the development of CRPC (<xref ref-type="bibr" rid="B6">6</xref>). Knockdown of the AR reduced glucose utilization in CRPC cells and AR-depleted cells showed reduced expression level of ACC and ACLY (<xref ref-type="bibr" rid="B6">6</xref>). DECR1 was reported to regulate lipid homeostasis in CRPC (<xref ref-type="bibr" rid="B6">6</xref>). It was found that DECR1 involves in redox homeostasis in the way of maintaining a balance between saturated and unsaturated phospholipids (<xref ref-type="bibr" rid="B6">6</xref>). Knockout of DECR1 induced ER stress and made CRPC cells sensitive to ferroptosis (<xref ref-type="bibr" rid="B6">6</xref>). Moreover, DECR1 deletion decreased lipid metabolism of CRPC <italic>in vivo (</italic>
<xref ref-type="bibr" rid="B6">6</xref>). Another study discovered that knockdown of YAP1 led to restored lipid content and reduced free fatty acid level in enzalutamide-resistant cells (<xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>In addition, it was demonstrated that sterol response element-binding protein (SREBP) family are transcriptional regulators that coordinately activate over 20 functionally related enzymes associated with lipid and cholesterol synthesis (<xref ref-type="bibr" rid="B97">97</xref>). Susan L. Ettinger et&#xa0;al. found SREBPs and their downstream effector genes increased during progression to CRPC in the LNCaP xenograft model of PCa and contributed significantly to cell metabolism (<xref ref-type="bibr" rid="B97">97</xref>). Insulin-Like Growth Factor (IGF) family were shown to increase uptake of glucose and protein synthesis, whereas reducing serum free fatty acids (FFA) and hepatic glucose production (<xref ref-type="bibr" rid="B98">98</xref>). In addition, this family plays a key role in androgen-independent progression (<xref ref-type="bibr" rid="B98">98</xref>).</p>
<p>Interestingly, a study reported that the mitochondrial oxidation phosphorylation (mOxPhos) significantly decreased in castration-resistant LNCaP-95 cells relative to LNCaP cells (<xref ref-type="bibr" rid="B37">37</xref>). Comparing the wild type with androgen ablated LNCaP-95 cells, a lot of proteins in the OxPhos complexes reduced in the LNCaP-95 castrated resistant cells (<xref ref-type="bibr" rid="B37">37</xref>). Complex I, the major entry point for electrons to the respiratory chain and the rate-limiting step in overall respiration, was discovered to have many protein subunits downregulated, indicating the dysfunction of NADH dehydrogenase (<xref ref-type="bibr" rid="B37">37</xref>). A similar lower expression of cytochrome c oxidase, cytochrome c reductase in complex IV and the ATPase in complex V, were also investigated in the LNCaP-95 androgen resistant prostate cancer cells (<xref ref-type="bibr" rid="B37">37</xref>).</p>
<p>Moreover, the aldo-keto reductase family 1 member C3(AKR1C3), the prostatic enzyme was found to increase in CRPC and confirmed to convert androstenedione (A) to testosterone (T) by real-time reverse transcription-PCR and immunohistochemistry (<xref ref-type="bibr" rid="B99">99</xref>). PKC could be activated with phorbol ester (TPA) (<xref ref-type="bibr" rid="B100">100</xref>). It was reported that the release of ethanolamine (Etn) was only specifically upregulated in the metastatic basal PC3 cell line on TPA treatment most probably by PKC activation of PLD1 and the turnover of ethanolamine phosphoglycerides (EtnPGs) was also increased (<xref ref-type="bibr" rid="B100">100</xref>). Moreover, it was found that Etn released from cells may decrease uptake of choline (Cho), influencing the membrane PtdEtn : PtdCho ratio and regulating the action of PtdEtn-binding proteins such as the anti-apoptotic hPEBP4 and RKIP (<xref ref-type="bibr" rid="B100">100</xref>). These results suggested that PKC regulated PLD1 and release of Etn then influenced uptake of Cho in PC3 cells (<xref ref-type="bibr" rid="B100">100</xref>).</p>
</sec>
<sec id="s3_4">
<title>CRPC Immune Microenvironment</title>
<p>A study reported that reactive nitrogen species (RNS) secreted by myeloid-derived suppressor cells (MDSCs) could induce T cell tolerance (<xref ref-type="bibr" rid="B101">101</xref>). Shan Feng et&#xa0;al. discovered that lymphocyte-specific protein tyrosine kinase (LCK), an initiating tyrosine kinase in the T cell receptor signaling cascade and nitrated at Tyr394 by MDSCs, inhibited T cell activation and reduced interleukin 2 production (<xref ref-type="bibr" rid="B101">101</xref>). In the mouse model of CRPC, CRPC is resistant to an immune checkpoint blockade (ICB) therapy, while the results come out conversely when combined ICB with an RNS neutralizing agent, which indicated that RNS played an imported role in CRPC immunity (<xref ref-type="bibr" rid="B101">101</xref>).</p>
<p>In addition, programmed death&#x2212;ligand 1 (PD&#x2212;L1) was identified to be upregulated in CRPC cells induced by hypoxia, while addition of PD-L1 antibody increased expression of NKG2D ligand and the immune cytolytic activity of NK cells toward CRPC cells (<xref ref-type="bibr" rid="B102">102</xref>). It was discovered that inhibition of the Janus kinase (JAK)1,2/signal transducer and activator of transcription 3 (Stat3) signaling pathway reduced the PD&#x2212;L1 expression in CRPC cells and increased expression of NKG2D ligands (<xref ref-type="bibr" rid="B102">102</xref>). In addition, inhibition of JAK1,2/Stat3 signaling pathway increased the sensitivity of CRPC cells to NK cell immunity (<xref ref-type="bibr" rid="B102">102</xref>). Christian D. Fankhauser et&#xa0;al. also found that PD-L1 was not expressed in benign prostatic hyperplasia (BPH) or localized PCa and was only expressed in a minority of CRPC tumors and infiltrating immune cells (<xref ref-type="bibr" rid="B103">103</xref>). Moreover, they discovered a moderate positive correlation between PanCK and PD-L1 expression (<xref ref-type="bibr" rid="B103">103</xref>).</p>
<p>Novel potential links of E6-Associated Protein (E6AP) with immune response have been exposed by pathway analyses in DU145 cells (<xref ref-type="bibr" rid="B104">104</xref>). Comparing the significantly changed transcripts and proteins following E6AP knockdown in DU145 cells, some transcripts were found to change consistently in the same direction as the proteins (<xref ref-type="bibr" rid="B104">104</xref>). Interferon signaling, interferon gamma signaling, and cytokine signaling in immune system were predominantly associated with these proteins (<xref ref-type="bibr" rid="B104">104</xref>). In addition, clusterin was identified as a novel target of E6AP (<xref ref-type="bibr" rid="B104">104</xref>). In contrast, overexpression of prostate stem cell antigen (PSCA) was found in both androgen-dependent and androgen-independent prostate cancers (<xref ref-type="bibr" rid="B105">105</xref>). PSCA is an autoantigen which can induce immunological tolerance and hardly incite effective immunologic response (<xref ref-type="bibr" rid="B105">105</xref>).</p>
<p>To find which prostate cancer associated proteins induce immune responses, Douglas G. McNeel et&#xa0;al. evaluated the inherent humoral immune response against p53 and HER-2/neu, PSA, prostatic acid phosphatase in 200 patients (<xref ref-type="bibr" rid="B106">106</xref>). The results showed that for PSA and HER-2/neu the prevalence of antibody immunity was increased in patients with androgen independent disease (<xref ref-type="bibr" rid="B106">106</xref>).</p>
</sec>
</sec>
<sec id="s4">
<title>Molecular Mechanism of Emerging Proteins in CSPC to CRPC</title>
<p>The mechanisms of prostate cancer progression to CRPC associated with proteins are complex and mainly involve the AR-dependent and AR-independent mechanisms. (Summarized in <xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4</bold>
</xref> and <xref ref-type="fig" rid="f5">
<bold>5</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Emerging proteins mediate CRPC progression <italic>via</italic> AR-dependent way. The different mechanisms are showing as different colors.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-873876-g004.tif"/>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Emerging proteins mediate CRPC progression <italic>via</italic> AR-independent way.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-873876-g005.tif"/>
</fig>
<sec id="s4_1">
<title>Emerging Proteins Mediate CRPC Progression <italic>via</italic> AR-Dependent Way</title>
<p>Some proteins promote CRPC progression by regulating intra-tumoral levels of androgens in CRPC. Epidemiologic and <italic>in vitro</italic> studies demonstrate OATP transporters exert an effect on the response of PCa to therapy of androgen deprivation by regulating intra-tumor androgens (<xref ref-type="bibr" rid="B107">107</xref>). It also has previously been shown that castration resistant metastases express higher levels of multiple SLCO transporters than primary PCa (<xref ref-type="bibr" rid="B108">108</xref>). Based on these studies, Sean Green, PhD et&#xa0;al. examined uptake of androgen in LNCaP cells <italic>in vivo</italic> which were engineered to express OATP transporters and found that LNCaP cells expressing OATP1B1 and 2B1 showed an increased uptake of DHEAS resulting in a higher level of intra-tumor androgens, suggesting that OATP transporters promote CRPC progression in an AR-dependent way (<xref ref-type="bibr" rid="B107">107</xref>). Proteins contributed to CRPC progression by changing the localization of AR were also verified. Flightless I (FLII) is a member of the gelsolin superfamily of actin-remodeling proteins and functions as a transcriptional coregulator (<xref ref-type="bibr" rid="B109">109</xref>). It was reported to inhibit CRPC progression through targeting androgen receptor signaling (<xref ref-type="bibr" rid="B109">109</xref>). A positive correlation between the expression of FLII and overall survival of prostate cancer patients expressing high levels of AR expression was shown by a clinical gene expression array dataset (<xref ref-type="bibr" rid="B109">109</xref>). The protein and mRNA levels of FLII decreased in human prostate cancers (<xref ref-type="bibr" rid="B109">109</xref>). FLII binds with AR through the ligand-binding domain of AR and a competitive binding to AR was observed between FLII and the ligand (<xref ref-type="bibr" rid="B109">109</xref>). These researchers found that FLII inhibited AR transactivation and reduced AR nuclear localization (<xref ref-type="bibr" rid="B109">109</xref>). FLII contributed to growth of prostate cancer cells through AR-dependent signaling, and reintroducing FLII in CRPC cells sensitized the cells to endocrine therapies (<xref ref-type="bibr" rid="B109">109</xref>).</p>
<p>Other proteins regulated CRPC progression by controlling AR splicing and expression. Global changes in chromatin accessibility were known to promote cancer progression in the way of reprogramming transcription factor binding which was associated with histone acetylation readers such as BRD4 (<xref ref-type="bibr" rid="B110">110</xref>). Chromatin accessibility was verified to define CRPC. It was discovered that deregulation of AR expression drives chromatin relaxation mediated by AR/androgen-regulated bromodomain-containing proteins (BRDs) (<xref ref-type="bibr" rid="B110">110</xref>). Furthermore, the author reported that BRDs were highly expressed in CRPCS and that ATAD2 and BRD2 had prognostic value (<xref ref-type="bibr" rid="B110">110</xref>). Consistent with prior reports, Jonathan Welti et&#xa0;al. found that nuclear BRD4 protein expressed higher level in CRPC than treatment-naive biopsies in the same patient and higher expression at diagnosis correlated with worse outcome (<xref ref-type="bibr" rid="B111">111</xref>). The expression of BRD2, BRD3, and BRD4 RNA in CRPC biopsies associated with AR-driven transcription (<xref ref-type="bibr" rid="B111">111</xref>). AR-V7 expression and AR signaling could be decreased by Chemical BETi and knockdown of combined BET family protein (<xref ref-type="bibr" rid="B111">111</xref>). BETi reduced persistent AR signaling and growth of a xenograft model derived from CRPC patient with AR amplification and AR-V7 expression (<xref ref-type="bibr" rid="B111">111</xref>). RNA-binding protein PSF was also shown to contribute to CRPC progression by regulating splicing activities for AR expression (<xref ref-type="bibr" rid="B112">112</xref>). PSF targeted at mRNAs of spliceosome-related genes and promoted AR splicing and expression by coordinating these spliceosome proteins to form a complex (<xref ref-type="bibr" rid="B112">112</xref>). Moreover, high-speed sequence analysis was used and found that PSF stabilized and activated key long noncoding RNAs and AR-regulated gene expressions in prostate cancer cells (<xref ref-type="bibr" rid="B112">112</xref>). Activation of AR and the expression of its variants along with the downstream signals are crucial for CRPC progression (<xref ref-type="bibr" rid="B112">112</xref>). It was known that overexpression of the full-length androgen receptor (AR-FL) and AR splice variants (AR-Vs) promote the progression of CRPC (<xref ref-type="bibr" rid="B113">113</xref>). A striking positive correlation between the level of c-Myc and the activity of the AR pathway, between the activity of the c-Myc pathway and the level of individual AR isoforms, and between the activities of the two pathways, was discovered (<xref ref-type="bibr" rid="B113">113</xref>). Furthermore, the c-Myc signature is highly expressed in tumors with high levels of AR, as is the AR signature in c-Myc-high-expressing tumors (<xref ref-type="bibr" rid="B113">113</xref>). c-Myc regulation of activity and expression of AR-FL and AR-Vs was confirmed in a patient-derived xenograft model and cell models, suggesting that c-Myc promoted CRPC through the regulation of activity and expression of AR-FL and AR-Vs (<xref ref-type="bibr" rid="B113">113</xref>). In addition, Prakash Kulkarn et&#xa0;al. discovered that when PAGE4 is phosphorylated by HIPK1, HIPK1-PAGE4 enhanced c-Jun and suppressed AR activity in CRPC cells (<xref ref-type="bibr" rid="B58">58</xref>).</p>
<p>There are lots of studies showing that proteins changed AR transcriptional activity to mediate CRPC progression. An ubiquitin E3 ligase RNF6 was identified as one of AR-associated proteins by proteomic screen and may contribute to CRPC progression (<xref ref-type="bibr" rid="B13">13</xref>). RNF6 was found to induce AR ubiquitination and increase AR transcriptional activity (<xref ref-type="bibr" rid="B13">13</xref>). Mutation of RNF6-induced ubiquitination acceptor sites on AR or specific knockdown of RNF6 selectively regulates expression levels of a subset of AR target genes and attenuates recruitment of AR and its coactivators to androgen-responsive elements which were present in the regulatory region of these genes (<xref ref-type="bibr" rid="B13">13</xref>). In addition, RNF6 is overexpressed in human CRPC tissues and critical for growth of prostate cancer cells under androgen-depleted conditions, suggesting that RNF6-induced ubiquitination may alter AR transcriptional activity and specificity by modulating co-factor recruitment and played a role in CRPC progression (<xref ref-type="bibr" rid="B13">13</xref>). Another study reported that knockdown of CHK2 hypersensitized PCa cells to low androgen levels indicating a crucial role of CHK2 in progression to CRPC (<xref ref-type="bibr" rid="B73">73</xref>). The study found that CHK2 exerted its effects dependent on CDC25C and CDK1 which were downstream signaling proteins (<xref ref-type="bibr" rid="B73">73</xref>). In addition, CHK2 depletion promoted androgen receptor (AR) transcriptional activity on androgen-regulated genes, validating the finding that CHK2 influences PCa proliferation through the AR partly (<xref ref-type="bibr" rid="B73">73</xref>). Interestingly, the author further validated that CHK2 was a novel AR-repressed gene, indicating that there existed a negative feedback loop between AR and CHK2 (<xref ref-type="bibr" rid="B73">73</xref>). In addition, CHK2 physical association between CHK2 and AR was further discovered, and that cell cycle inhibition enhanced this association (<xref ref-type="bibr" rid="B73">73</xref>). It was also shown that CHK2 signaling was lost during prostate cancer transformation to CRPC (<xref ref-type="bibr" rid="B73">73</xref>). Moreover, Bin Guia et&#xa0;al. found that implementation of genetic or pharmacological means to target PARP-2 selectively blocks interaction between FOXA1 and PARP-2, which in turn decreased AR-mediated transcription and inhibited anchorage-independent growth of LNCaP cells and AR-positive CRPC cell growth (<xref ref-type="bibr" rid="B9">9</xref>). It can be inferred that PARP-2 have an influence on development of CRPC through transcriptionally modulating AR-mediated gene expression (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>In a recent report, Arnaud Blomme et&#xa0;al. found that active AR signaling and nuclear AR were observed in CRPC cells and AR was reprogrammed to promote CRPC progression (<xref ref-type="bibr" rid="B6">6</xref>). Acquired metabolic phenotype was common in CRPC cells and correlated with perturbed glucose and lipid metabolism (<xref ref-type="bibr" rid="B6">6</xref>). Knockdown of the AR impaired glucose utilization and reduced expression of ACC and ACLY in resistant cells, suggesting that AR is reprogrammed to promote fatty acid synthesis from glucose in resistant cells and promote CRPC progression (<xref ref-type="bibr" rid="B6">6</xref>). DECR1 increased in ARI-resistant cells compared to WT LNCaP and maintains lipid homeostasis in CRPC cells (<xref ref-type="bibr" rid="B6">6</xref>). Further study revealed that the expression of DECR1 was required for growth of CRPC tumor <italic>in vivo </italic>(<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Hence, these findings augment investigators&#x2019; comprehension of CRPC progressions <italic>via</italic> the consideration of proteins and AR-dependent signaling pathways.</p>
</sec>
<sec id="s4_2">
<title>Emerging Proteins Mediate CRPC Progression <italic>via</italic> AR-Independent Way</title>
<p>FUT8 was identified to increase in CRPC indicating a role in CRPC progression (<xref ref-type="bibr" rid="B7">7</xref>). Naseruddin H&#xf6;ti et&#xa0;al. found that overexpression of FUT8 contributed to increase the level of cell surface epidermal growth factor receptor (EGFR), and its relevant downstream signaling, resulting in increased cell survival of PCa in androgen-depleted conditions (<xref ref-type="bibr" rid="B7">7</xref>). The coregulatory mechanisms of FUT8 and EGFR expression in CRPC xenograft models were studied furthermore and it was shown that castration induced FUT8 overexpression correlated with elevated expression of EGFR (<xref ref-type="bibr" rid="B7">7</xref>). The findings suggested that FUT8 played an important role in escaping castration-induced cell death and promoting the progression of CRPC (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Similarly, it was reported that Caveolin-1 (Cav-1) regulates castration resistance through ACC1-FASN upregulation in an AR-independent way and lipid synthesis (<xref ref-type="bibr" rid="B114">114</xref>). Theodoros Karantanos et&#xa0;al. discovered that overexpression of Cav-1 promoted castration resistance in PTENcKO tumors (<xref ref-type="bibr" rid="B114">114</xref>). Cav-1 altered the expression of ACC1 and FASN in PCa cells in an AR-independent way at the transcriptional level and promoted synthesis of palmitate (<xref ref-type="bibr" rid="B114">114</xref>). Inhibition of FASN was more effective in Cav-1-overexpressing cells (<xref ref-type="bibr" rid="B114">114</xref>). Cav-1 induction increased the expression of ACC1 and FASN in PTENcKO tissues and reduced the apoptotic effects of castration, which increased Cav-1 and ACC1 expression (<xref ref-type="bibr" rid="B114">114</xref>). Furthermore, the researchers found that FASN was a crucial actor in the survival of PCa cells which expressed Cav-1 under androgen deprivation (<xref ref-type="bibr" rid="B114">114</xref>). Upregulation of palmitoleate and oleate correlated with a poor response to AA in the bone marrow aspirates from mCRPC (<xref ref-type="bibr" rid="B114">114</xref>).</p>
<p>Interestingly, a study reported that RhoGDI (GDI) &#x3b1; decreased in LNCaP-IL6+ cells, which was generated by treating LNCaP cells chronically with interleukin-6 (IL-6) and grew in a hormone resistant way, comparing with LNCaP cells (<xref ref-type="bibr" rid="B115">115</xref>). GDI&#x3b1; overexpression inhibited PCa cells growth and sensitized LNCaP-IL6+ cells to androgen deprivation (<xref ref-type="bibr" rid="B115">115</xref>). Conversely, GDI&#x3b1; downregulation promoted androgen-sensitive LNCaP cells growth in androgen-deprived state, suggesting that GDI&#x3b1; promoted development of CRPC in an AR-independent way (<xref ref-type="bibr" rid="B115">115</xref>).</p>
<p>It was known that IL-6 played a role in the development of CRPC (<xref ref-type="bibr" rid="B116">116</xref>). IL-6 expression are increased in CRPC patients and regulate AR activity (<xref ref-type="bibr" rid="B116">116</xref>). Proteomic analysis revealed expression of 27 proteins changed in LNCaP cells compared with cells without IL-6 treatment and valosin-containing protein (VCP)/p97 plays a crucial role in co-regulation of altered proteins (<xref ref-type="bibr" rid="B116">116</xref>). Moreover, it was discovered that IL-6 induced VCP expression through Pim-1 <italic>via</italic> STAT3 activation is AR independent, suggesting that VCP played a role in CRPC (<xref ref-type="bibr" rid="B116">116</xref>).</p>
<p>In addition, activation of growth factor receptor tyrosine kinase (RTK) pathway is a crucial mechanism in mediating cancer survival, growth and treatment resistance (<xref ref-type="bibr" rid="B11">11</xref>). James W Peacock discovered that SEMA3C drives activation of multiple RTKs including EGFR, ErbB2, and MET in a cognate ligand-independent manner <italic>via</italic> Plexin B1 (<xref ref-type="bibr" rid="B11">11</xref>). SEMA3C increased in CRPC, where it promoted growth and castration resistance of cells. Inhibition of SEMA3C delays progression of CRPC and enzalutamide-resistance (<xref ref-type="bibr" rid="B11">11</xref>). These results indicate that SEMA3C promoted CRPC through RTK signaling, which was also aindependent of AR (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>A recent report discovered that TLK1&gt;NEK1&gt;YAP1 axis plays an important role during the progression to CRPC (<xref ref-type="bibr" rid="B117">117</xref>). Md Imtiaz Khalil et&#xa0;al. previously demonstrated that TLK1&gt;NEK1&gt;ATR&gt;Chk1 axis is a crucial actor in cell cycle arrest when CSPC cells suffered androgen deprivation (<xref ref-type="bibr" rid="B117">117</xref>). The overexpression of wt-NEK1and YAP1 contributed to a rapid transition to growth of CRPC (<xref ref-type="bibr" rid="B117">117</xref>). Higher expression of wt-NEK1 associated with accumulation of YAP1, indicating that TLK1&gt;NEK1&gt;YAP1 axis led to adaptation to CRPC growth (<xref ref-type="bibr" rid="B117">117</xref>). NEK1 could be co-immunoprecipitated with YAP1 (<xref ref-type="bibr" rid="B117">117</xref>). YAP1 was found to be phosphorylated by NEK1 on six esidues <italic>in vitro</italic>, which might enhance its interaction with transcriptional partners and promote reprogramming of the cells toward CRPC (<xref ref-type="bibr" rid="B117">117</xref>).</p>
</sec>
</sec>
<sec id="s5">
<title>The Clinical Application of Proteins in CRPC</title>
<p>The methods commonly used for CRPC screening include a rise in PSA, bone scan, biopsy, and/or PET imaging of recurrent/new metastases (<xref ref-type="bibr" rid="B3">3</xref>). But diagnostic accuracy is low and CRPC progression is not monitored in the best way.</p>
<sec id="s5_1">
<title>Proteins as a Diagnostic Marker</title>
<p>Sharp et&#xa0;al. explored nuclear AR-V7 expression in same-patient, matched biopsies, as 63 patients progressed from CSPC to CRPC. They found that nuclear AR-V7 protein significantly increased from CSPC to CRPC (<xref ref-type="bibr" rid="B17">17</xref>). Nuclear AR-V7 can be detected by immunohistochemistry and could be a good diagnostic marker for CRPC. Serum B2M levels were increased in metastatic CRPC patients, and B2M was more specific for androgen stimulation under the conditions tested compared with PSA (<xref ref-type="bibr" rid="B66">66</xref>). What&#x2019;s more, B2M can be easily detected in serum, which increases potential applicability to guided therapy of CRPC. In addition, enzymes of the ketogenic pathway are increased in an androgen-independent derivative of LNCaP cell line and LuCaP 96AI castration-resistant xenograft (<xref ref-type="bibr" rid="B33">33</xref>). These enzymes might be potential biomarkers for CRPC diagnosis but further studies are needed to confirm this (<xref ref-type="bibr" rid="B33">33</xref>).</p>
</sec>
<sec id="s5_2">
<title>Proteins as a Prognostic Marker</title>
<p>Recently, research has found that some proteins might be potential biomarkers for CRPC prognosis, such as SRC and FLII (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B109">109</xref>). Increased SFK activity was associated with reduced time from biochemical relapse to death (<xref ref-type="bibr" rid="B10">10</xref>). Furthermore, increased SFK activity in AIPC patients may have higher transfer potential (<xref ref-type="bibr" rid="B10">10</xref>). Similarly, higher AR-V7 in CRPC biopsies was associated with shorter PSA-PFS (<xref ref-type="bibr" rid="B118">118</xref>). In addition, CRPC-specific AR-V7 protein expression and positive protein detection were significantly associated with worse outcomes (<xref ref-type="bibr" rid="B17">17</xref>). In conclusion, AR-V7 has been reliably detected in many types of human biological samples and thus can serve as a negative prognostic biomarker. High DECR1 expression was found to associate with poor prognosis in CRPC (<xref ref-type="bibr" rid="B6">6</xref>). Moreover, DECR1 overexpression dramatically decreased patient disease-free survival and was associated with worse outcome in metastatic patients (<xref ref-type="bibr" rid="B6">6</xref>). Additionally, other proteins with prognostic potential such as ASPH, BDH1, HMGCL, HMGCS2, ACAT1, OXCT1, etc. were also discovered in different research (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B39">39</xref>). These proteins are all potential prognostic markers and can be detected by immunohistochemistry. In the future, they can be used in combination to stratify CRPC risk, so as to give patients more personalized and reasonable treatment.</p>
</sec>
<sec id="s5_3">
<title>Proteins as a Predictive Marker</title>
<p>Although progress has been made in the therapy for CRPC in recent years, an urgent challenge still exists because there are fewer predictive biomarkers for CRPC compared to prognostic biomarkers (<xref ref-type="bibr" rid="B119">119</xref>). Therefore, implementation of proteins as biomarkers has great potential. In a study, Eleni Efstathiou et&#xa0;al. found that the absence of AR-V7 in bone marrow biopsies from mCRPC correlated with better treatment response to enzalutamide (<xref ref-type="bibr" rid="B120">120</xref>). CRPC patients with AR-V7 positive CTCs were associated with resistance to enzalutamide and abiraterone (<xref ref-type="bibr" rid="B121">121</xref>, <xref ref-type="bibr" rid="B122">122</xref>). This means that AR-V7 can be detected not only in tissues but also in CTCs, which are non-invasive and adds potential applicability for guided therapy with the development of AR-V7-assay. Similarly, inhibitor of de-ubiquitinase USP7 P5091 reduced levels of tumor suppressor protein CCDC6, sensitizing the CRPC cells to PARP inhibitors (<xref ref-type="bibr" rid="B123">123</xref>). Therefore, CCDC6 and USP7 can be potential biomarkers of sensitivity to PARP-inhibitors in CRPC (<xref ref-type="bibr" rid="B123">123</xref>). KENTA ONISHI et&#xa0;al. found that expression of KLG in primary prostate cancer lesions correlated with CRPC progression and KLG could be a predictor of resistance to docetaxel (<xref ref-type="bibr" rid="B124">124</xref>). Taken together, these proteins may be predictive biomarkers for CRPC and could also be detected by immunohistochemistry, which facilitates the selection of optimal treatment modalities for patients.</p>
</sec>
<sec id="s5_4">
<title>Proteins as a Therapeutic Target</title>
<p>Good anti-tumor drugs can kill tumor cells specifically and effectively on the premise of not impairing healthy cells (<xref ref-type="bibr" rid="B125">125</xref>). However, many drugs used today to treat tumors have more or less side effects. The proteins that are regulated in CRPC tissue and influence progression will become promising candidates for therapeutic targets. Inhibition of SEMA3C by small molecules was discovered to have an effect on the growth of DU145 cell lines, which indicated SEMA3C could be a potential therapeutic target (<xref ref-type="bibr" rid="B12">12</xref>). Furthermore, SEMA3C is not required for homeostasis in adult tissues, so SEMA3C inhibition may be well tolerated in adults (<xref ref-type="bibr" rid="B11">11</xref>). Similarly, RORg antagonist targeting MDR1 expression resensitizes cross-resistant CRPC to taxanes (<xref ref-type="bibr" rid="B26">26</xref>). Both inhibitors are available and may be used clinically in the future. Other proteins may become therapeutic targets by using RNA interference technology. For example, downregulation of ACTN4 by RNA interference significantly reduced cell proliferation and invasion in DU145 cells (<xref ref-type="bibr" rid="B8">8</xref>). A 5&#x3b1;-steroid reductase &#x2018;type 3 5&#x3b1;-steroid reductase&#x2019; (SRD5A3) was identified to overexpress in CRPC (<xref ref-type="bibr" rid="B126">126</xref>). Knockdown of SRD5A3 in prostate cancer cells contributed to a dominant decrease in DHT production and a significant reduction in cell viability, suggesting a role in maintenance of androgen&#x2013;androgen receptor-pathway activity in CRPC cells and the enzymatic activity might be a potential target for therapy of CRPC (<xref ref-type="bibr" rid="B126">126</xref>). However, this strategy requires further study to develop an optimal delivery system to protect the stability of RNAi-based drugs and investigate indications of various diseases with these drugs in early and late clinical trials. There are some proteins requiring further study to clarify their potential as therapeutic targets. YAP1 and PAK2 were identified to regulate cell colony formation and cell invasion activity without obvious changes in the activity of AKT, MAPK, or mTORC1 pathways, indicating that PAK2 and YAP1 may be potential therapeutic targets of CRPC (<xref ref-type="bibr" rid="B19">19</xref>). Moreover, MAR-binding proteins that are regulated in the prostate cancer cells could improve our understanding of CRPC process, and these proteins were reported to be promising targets for prostate cancer therapy (<xref ref-type="bibr" rid="B127">127</xref>). In addition, Huy Q Ta et&#xa0;al. proposed that perturbing CHK2 signaling may be a novel therapeutic approach to sensitize CRPC to ADT and radiation (<xref ref-type="bibr" rid="B73">73</xref>). Other proteins with the potential of being therapeutic targets such as AR-V7, TBLR1, EpCAM, caspase 3, vimentin, catalase, ERG, etc. were also proposed in different studies (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>Currently, AR-V7 is one of the most well-studied and most promising proteins used as a PCa biomarker. It may be used as a biomarker for diagnosis, prognosis, prediction, and treatment. Although the proteins we mentioned above play an important role in prostate cancer diagnosis, prognosis, and development, more research is still needed to better understand and use these proteins.</p>
</sec>
</sec>
<sec id="s6" sec-type="conclusions">
<title>Conclusions and Perspectives</title>
<p>The rapidly increasing number of studies have found that the expression of proteins changes and proteins play a crucial role in the development of CRPC. Summarizing the biological roles of these proteins in CRPC will help to find more markers for diagnosis, prognosis, prediction, and treatment. These potential markers provide new insight into the mechanism of CRPC development and can be combined with existing markers for better management of CRPC patients.</p>
<p>With the development of high-throughput proteomics technology, a large number of proteins have been found to play an important role in the tumorigenesis and development of prostate cancer. In this review, we summarize the changes of protein expression between CSPC and CRPC and the proteins that promote the growth, metastasis, and invasion of CRPC. Furthermore, we summarize the related mechanisms of proteins in promoting CRPC, mainly including AR-dependent and AR-independent mechanisms. Understanding the role of these proteins in the development of CRPC will help to develop drugs that target the corresponding proteins or signaling pathways. Inhibition of abnormally expressed proteins or signaling pathways can lead to more efficient treatment for patients.</p>
<p>Biopsies are invasive and are associated with complications such as bleeding and sepsis. In the future, numerous markers may be investigated in non-invasive body fluids. More studies will also focus on the other roles of these potential markers in CRPC, as well as in the clinical application. In addition to proteins, other types of markers will also be further evaluated, such as IncRNA and exosomes. Moreover, further development of proteomic technologies will also promote the understanding of markers.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author Contributions</title>
<p>PK and LZ finished the manuscript and abstract; ZZ and KF consulted relevant literatures and completed English revision; YS, XD, CL, and TS completed the figures and tables; WL and ZT provided constructive feedback and guidance; WL completed critical revisions and proofread the manuscript. All authors have read and approved the final manuscript.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This&#xa0;study&#xa0;was&#xa0;supported&#xa0;by&#xa0;grant from the National Natural Science Foundation of China Youth Science Foundation Project (Grant nos. 81802571), and Zhejiang Medical and Health Science and Technology Project (2019RC039).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
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<surname>D&#x2019;Arrigo</surname> <given-names>C</given-names>
</name>
<name>
<surname>Balbi</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>The Role of Nuclear Matrix Proteins Binding to Matrix Attachment Regions (Mars) in Prostate Cancer Cell Differentiation</article-title>. <source>PloS One</source> (<year>2012</year>) <volume>7</volume>(<issue>7</issue>):<fpage>e40617</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0040617</pub-id>
</citation>
</ref>
</ref-list>
<glossary>
<title>Glossary</title>
<table-wrap position="anchor">
<table>
<tbody>
<tr>
<td valign="top" align="left">ADT</td>
<td valign="top" align="left">androgen deprivation therapy</td>
</tr>
<tr>
<td valign="top" align="left">AR</td>
<td valign="top" align="left">androgen receptor</td>
</tr>
<tr>
<td valign="top" align="left">ACTN4</td>
<td valign="top" align="left">actinin-4</td>
</tr>
<tr>
<td valign="top" align="left">AP-1</td>
<td valign="top" align="left">Activator Protein-1</td>
</tr>
<tr>
<td valign="top" align="left">ARI</td>
<td valign="top" align="left">AR inhibitors</td>
</tr>
<tr>
<td valign="top" align="left">ASPH</td>
<td valign="top" align="left">aspartyl (asparaginyl) &#x3b2; hydrolase</td>
</tr>
<tr>
<td valign="top" align="left">ARAF</td>
<td valign="top" align="left">A-Raf proto-oncogene serine/threonine kinase</td>
</tr>
<tr>
<td valign="top" align="left">AKR1C3</td>
<td valign="top" align="left">aldo-keto reductase family 1 member C3</td>
</tr>
<tr>
<td valign="top" align="left">AR-FL</td>
<td valign="top" align="left">full-length androgen receptor</td>
</tr>
<tr>
<td valign="top" align="left">AR-Vs</td>
<td valign="top" align="left">AR splice variants</td>
</tr>
<tr>
<td valign="top" align="left">A</td>
<td valign="top" align="left">androstenedione</td>
</tr>
<tr>
<td valign="top" align="left">B2M</td>
<td valign="top" align="left">&#x3b2;-2-microglobulin</td>
</tr>
<tr>
<td valign="top" align="left">BET</td>
<td valign="top" align="left">Bromodomain and Extraterminal domain</td>
</tr>
<tr>
<td valign="top" align="left">BPH</td>
<td valign="top" align="left">benign prostatic hyperplasia</td>
</tr>
<tr>
<td valign="top" align="left">BRDs</td>
<td valign="top" align="left">bromodomain-containing proteins</td>
</tr>
<tr>
<td valign="top" align="left">CSPC</td>
<td valign="top" align="left">castration-sensitive prostate cancer</td>
</tr>
<tr>
<td valign="top" align="left">CRPC</td>
<td valign="top" align="left">castration-resistant prostate cancer</td>
</tr>
<tr>
<td valign="top" align="left">CE3b</td>
<td valign="top" align="left">cryptic exon 3b</td>
</tr>
<tr>
<td valign="top" align="left">CLK2</td>
<td valign="top" align="left">CDC-Like Kinase 2</td>
</tr>
<tr>
<td valign="top" align="left">CLU</td>
<td valign="top" align="left">clusterin</td>
</tr>
<tr>
<td valign="top" align="left">CHK2</td>
<td valign="top" align="left">Checkpoint Kinase 2</td>
</tr>
<tr>
<td valign="top" align="left">Cav-1</td>
<td valign="top" align="left">Caveolin-1</td>
</tr>
<tr>
<td valign="top" align="left">Cho</td>
<td valign="top" align="left">choline</td>
</tr>
<tr>
<td valign="top" align="left">DECRI</td>
<td valign="top" align="left">2,4-dienoyl-CoA reductase</td>
</tr>
<tr>
<td valign="top" align="left">ETS</td>
<td valign="top" align="left">E26 transformation-specific</td>
</tr>
<tr>
<td valign="top" align="left">EpCAM</td>
<td valign="top" align="left">epithelial cell adhesion molecule</td>
</tr>
<tr>
<td valign="top" align="left">EMT</td>
<td valign="top" align="left">epithelial-mesenchymal transition</td>
</tr>
<tr>
<td valign="top" align="left">Etn</td>
<td valign="top" align="left">ethanolamine</td>
</tr>
<tr>
<td valign="top" align="left">EtnPGs</td>
<td valign="top" align="left">ethanolamine phosphoglycerides</td>
</tr>
<tr>
<td valign="top" align="left">E6AP</td>
<td valign="top" align="left">E6-Associated Protein</td>
</tr>
<tr>
<td valign="top" align="left">EGFR</td>
<td valign="top" align="left">epidermal growth factor receptor</td>
</tr>
<tr>
<td valign="top" align="left">FUT8</td>
<td valign="top" align="left">alpha (1, 6) fucosyltransferase 8</td>
</tr>
<tr>
<td valign="top" align="left">FLNC</td>
<td valign="top" align="left">filamin C</td>
</tr>
<tr>
<td valign="top" align="left">FLII</td>
<td valign="top" align="left">Flightless I</td>
</tr>
<tr>
<td valign="top" align="left">FAS</td>
<td valign="top" align="left">fatty acid synthesis</td>
</tr>
<tr>
<td valign="top" align="left">FFA</td>
<td valign="top" align="left">free fatty acids</td>
</tr>
<tr>
<td valign="top" align="left">GO</td>
<td valign="top" align="left">gene ontology</td>
</tr>
<tr>
<td valign="top" align="left">GOLPH3</td>
<td valign="top" align="left">Golgi phosphoprotein 3</td>
</tr>
<tr>
<td valign="top" align="left">GDI</td>
<td valign="top" align="left">RhoGDI</td>
</tr>
<tr>
<td valign="top" align="left">HIPK1</td>
<td valign="top" align="left">Homeodomain-Interacting Protein Kinase 1</td>
</tr>
<tr>
<td valign="top" align="left">IGF</td>
<td valign="top" align="left">Insulin-Like Growth Factor</td>
</tr>
<tr>
<td valign="top" align="left">ICB</td>
<td valign="top" align="left">immune checkpoint blockade</td>
</tr>
<tr>
<td valign="top" align="left">IL-6</td>
<td valign="top" align="left">interleukin-6</td>
</tr>
<tr>
<td valign="top" align="left">JAK</td>
<td valign="top" align="left">Janus kinase</td>
</tr>
<tr>
<td valign="top" align="left">LC</td>
<td valign="top" align="left">Liqui Chromatography</td>
</tr>
<tr>
<td valign="top" align="left">LCK</td>
<td valign="top" align="left">lymphocyte-specific protein tyrosine kinase</td>
</tr>
<tr>
<td valign="top" align="left">MDR1</td>
<td valign="top" align="left">multidrug resistance 1</td>
</tr>
<tr>
<td valign="top" align="left">MS</td>
<td valign="top" align="left">Mass Spectrometer</td>
</tr>
<tr>
<td valign="top" align="left">MMP9</td>
<td valign="top" align="left">matrix metalloproteinases 9</td>
</tr>
<tr>
<td valign="top" align="left">MSI2</td>
<td valign="top" align="left">Musashi2</td>
</tr>
<tr>
<td valign="top" align="left">MST</td>
<td valign="top" align="left">mammalian Ste20-like kinase</td>
</tr>
<tr>
<td valign="top" align="left">MAP2K</td>
<td valign="top" align="left">mitogenactivated kinase kinase</td>
</tr>
<tr>
<td valign="top" align="left">MDSCs</td>
<td valign="top" align="left">myeloid-derived suppressor cells</td>
</tr>
<tr>
<td valign="top" align="left">mOxPhos</td>
<td valign="top" align="left">mitochondrial oxidation phosphorylation</td>
</tr>
<tr>
<td valign="top" align="left">NES1</td>
<td valign="top" align="left">normal epithelial cell-specific-1</td>
</tr>
<tr>
<td valign="top" align="left">PSA</td>
<td valign="top" align="left">prostate-specific-antigen</td>
</tr>
<tr>
<td valign="top" align="left">PET</td>
<td valign="top" align="left">positron emission tomography</td>
</tr>
<tr>
<td valign="top" align="left">PCa</td>
<td valign="top" align="left">prostate cancer</td>
</tr>
<tr>
<td valign="top" align="left">PARP</td>
<td valign="top" align="left">Poly (ADPribose) Polymerase</td>
</tr>
<tr>
<td valign="top" align="left">PAGE4</td>
<td valign="top" align="left">Prostate-Associated Gene 4</td>
</tr>
<tr>
<td valign="top" align="left">PAK</td>
<td valign="top" align="left">p21-activated kinase</td>
</tr>
<tr>
<td valign="top" align="left">PDL1</td>
<td valign="top" align="left">programmed deathligand 1</td>
</tr>
<tr>
<td valign="top" align="left">PSCA</td>
<td valign="top" align="left">prostate stem cell antigen</td>
</tr>
<tr>
<td valign="top" align="left">RNF6</td>
<td valign="top" align="left">Ring finger protein 6</td>
</tr>
<tr>
<td valign="top" align="left">RNS</td>
<td valign="top" align="left">reactive nitrogen species</td>
</tr>
<tr>
<td valign="top" align="left">RTK</td>
<td valign="top" align="left">receptor tyrosine kinase</td>
</tr>
<tr>
<td valign="top" align="left">SFKs</td>
<td valign="top" align="left">Src family kinases</td>
</tr>
<tr>
<td valign="top" align="left">SEMA3C</td>
<td valign="top" align="left">Semaphorin 3C</td>
</tr>
<tr>
<td valign="top" align="left">SLK</td>
<td valign="top" align="left">Ste20-like kinase</td>
</tr>
<tr>
<td valign="top" align="left">SREBP</td>
<td valign="top" align="left">sterol response element-binding protein</td>
</tr>
<tr>
<td valign="top" align="left">Stat3</td>
<td valign="top" align="left">signal transducer and activator of transcription 3</td>
</tr>
<tr>
<td valign="top" align="left">SGK1</td>
<td valign="top" align="left">serum and glucocorticoid-induced protein kinase 1</td>
</tr>
<tr>
<td valign="top" align="left">TMAs</td>
<td valign="top" align="left">tissue microarrays</td>
</tr>
<tr>
<td valign="top" align="left">TMPRSS2</td>
<td valign="top" align="left">transmembrane serine protease 2</td>
</tr>
<tr>
<td valign="top" align="left">TBLR1</td>
<td valign="top" align="left">transducin beta like related 1</td>
</tr>
<tr>
<td valign="top" align="left">TIMP-1</td>
<td valign="top" align="left">tissue inhibitor of metalloproteinase 1</td>
</tr>
<tr>
<td valign="top" align="left">TPA</td>
<td valign="top" align="left">phorbol ester</td>
</tr>
<tr>
<td valign="top" align="left">T</td>
<td valign="top" align="left">testosterone</td>
</tr>
<tr>
<td valign="top" align="left">VCL</td>
<td valign="top" align="left">vinculin</td>
</tr>
<tr>
<td valign="top" align="left">VCP</td>
<td valign="top" align="left">valosin-containing protein</td>
</tr>
<tr>
<td valign="top" align="left">WB</td>
<td valign="top" align="left">western blotting</td>
</tr>
<tr>
<td valign="top" align="left">YAP1</td>
<td valign="top" align="left">yes-associated protein 1</td>
</tr>
</tbody>
</table>
</table-wrap>
</glossary>
</back>
</article>