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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.2021.752604</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>E3 Ubiquitin Ligases in Breast Cancer Metastasis: A Systematic Review of Pathogenic Functions and Clinical Implications</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Yingshuang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1400738"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dai</surname>
<given-names>Jiawen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1431620"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zeng</surname>
<given-names>Youqin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1518247"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Guo</surname>
<given-names>Jinlin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1345505"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lan</surname>
<given-names>Jie</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1518243"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Key Laboratory of Systematic Research of Distinctive Chinese Medicine Resources in Southwest China, Chengdu University of Traditional Chinese Medicine</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Chongqing Key Laboratory of Sichuan-Chongqing Co-construction for Diagnosis and Treatment of Infectious Diseases Integrated Traditional Chinese and Western Medicine, Chengdu University of Traditional Chinese Medicine</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Thoracic Oncology, Department of Radiation Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Harikumar KB, Rajiv Gandhi Centre for Biotechnology, India</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Masashi Maekawa, Keio University, Japan; Arun Upadhyay, Northwestern University, United States; Pradeep Reddy Cingaram, University of Miami, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Jinlin Guo, <email xlink:href="mailto:guo596@cdutcm.edu.cn">guo596@cdutcm.edu.cn</email>; Jie Lan, <email xlink:href="mailto:lanjielanjie@foxmail.com">lanjielanjie@foxmail.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Cancer Molecular Targets and Therapeutics, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>10</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>11</volume>
<elocation-id>752604</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>08</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Wang, Dai, Zeng, Guo and Lan</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Wang, Dai, Zeng, Guo and Lan</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>Female breast cancer has become the most commonly occurring cancer worldwide. Although it has a good prognosis under early diagnosis and appropriate treatment, breast cancer metastasis drastically causes mortality. The process of metastasis, which includes cell epithelial&#x2013;mesenchymal transition, invasion, migration, and colonization, is a multistep cascade of molecular events directed by gene mutations and altered protein expressions. Ubiquitin modification of proteins plays a common role in most of the biological processes. E3 ubiquitin ligase, the key regulator of protein ubiquitination, determines the fate of ubiquitinated proteins. E3 ubiquitin ligases target a broad spectrum of substrates. The aberrant functions of many E3 ubiquitin ligases can affect the biological behavior of cancer cells, including breast cancer metastasis. In this review, we provide an overview of these ligases, summarize the metastatic processes in which E3s are involved, and comprehensively describe the roles of E3 ubiquitin ligases. Furthermore, we classified E3 ubiquitin ligases based on their structure and analyzed them with the survival of breast cancer patients. Finally, we consider how our knowledge can be used for E3s&#x2019; potency in the therapeutic intervention or prognostic assessment of metastatic breast cancer.</p>
</abstract>
<kwd-group>
<kwd>ubiquitination</kwd>
<kwd>E3 ligase</kwd>
<kwd>breast cancer</kwd>
<kwd>metastasis</kwd>
<kwd>systematic review</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="144"/>
<page-count count="17"/>
<word-count count="8056"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>According to the latest global cancer statistics by the International Agency for Research on Cancer, female breast cancer has overtaken lung cancer and has become the most commonly occurring cancer worldwide, which accounts for about 11.7% of all new cancer cases (<xref ref-type="bibr" rid="B1">1</xref>). Breast cancers are highly heterogeneous, and they are classified into subtypes as Luminal A, Luminal B, HER2 (human epithelial growth factor receptor 2) positive, and basal-like (triple negative breast cancer, TNBC), with respect to the presence or absence of hormone receptors such as estrogen receptor (ER) and progesterone receptor (PR), and one oncogenic biomarker, HER2. These molecular subtypes help determine which patients are likely to respond to targeted therapies (<xref ref-type="bibr" rid="B2">2</xref>). Despite having good prognosis with early diagnosis and appropriate treatment, breast cancer is still the leading cause of mortality among women (<xref ref-type="bibr" rid="B3">3</xref>). Breast cancer&#x2013;leading deaths are mostly attributed to metastasis. As mammary epithelial cells which acquire deregulated proliferation, if these malignant cells remain contained within the ducts or lobules of breast, the patients&#x2019; survival has been reported to be nearly ~98% within 5 years. In contrast, the patients&#x2019; 5-year survival rate with distant metastases at the time of diagnosis decreased to only 23% (<xref ref-type="bibr" rid="B2">2</xref>). Furthermore, approximately one-third of female breast cancer patients with no lymph node involvement at the time of diagnosis will develop distal metastasis (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<sec id="s1_1">
<title>1.1 The Multistep Cascade of Breast Cancer Cell Alternations in Metastasis</title>
<p>Some breast cancer cells acquire metastatic potential in a very early stage, which gains the capability to spread from the breast tissue, enter the blood or lymphatic vessels, and disseminate to distal organs, preferentially to the lung, liver, brain, and bone. Metastasis represents the multistep cascade of cancer cell alterations accompanied by structural and functional changes. It is well recognized that distant metastasis colonization consists of sequential steps (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B5">5</xref>), including cell detachment from the primary tumor site involving epithelial&#x2013;mesenchymal transition (EMT) (<xref ref-type="bibr" rid="B6">6</xref>); migration and invasion into surrounding tissue; penetration of the basal membrane (trans-endothelial intravasation) into the vasculature of blood and/or lymphatic vessels to be circulating tumor cells (CTCs); extravasation of CTCs to secondary sites as disseminated tumor cells (DTCs) (<xref ref-type="bibr" rid="B7">7</xref>); dissemination to distant organs; and formation of a micro-metastatic niche and construction of macrometastases. In addition, to survive and initiate the secondary cancer foci, cells need the capability of evading immune defenses, delivering to distant sites, adapting to supportive niches such as angiogenesis (<xref ref-type="bibr" rid="B8">8</xref>), and inducting retro-differentiation to gain stemness (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Distant metastasis colonization consists of sequential steps.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-752604-g001.tif"/>
</fig>
</sec>
<sec id="s1_2">
<title>1.2 The E3 Ubiquitin Ligases</title>
<p>Ubiquitination is a post-translational modification of proteins, which is essential for nearly all biological processes, including cell growth, autophagy, apoptosis, and differentiation. It is a three-step enzymatic cascade: i) A ubiquitin-activating enzyme (E1) mediates the activation of the carboxyl-terminal glycine residue of ubiquitin in an ATP-dependent manner. ii) The activated ubiquitin is then transferred to E1 followed by the transfer of ubiquitin to a thiolester of a ubiquitin-conjugating enzyme (E2) to format the thiolester linkage. iii) A ubiquitin protein ligase (E3) confers substrate specificity by recognizing the target proteins and mediating the conjugation of ubiquitin molecules to a lysine residue on the targeted protein <italic>via</italic> an isopeptide bond (<xref ref-type="bibr" rid="B10">10</xref>). E3&#x2019;s ability to specifically recognize and target substrates makes it a key regulator in the ubiquitin process.</p>
<p>The fate of ubiquitinated proteins is dependent on the different types of ubiquitin linkage. It has been characterized as mono-ubiquitination or poly-ubiquitinated chains. Mono-ubiquitination involves the transfer of a single ubiquitin to a substrate. E3 ligases can also connect several ubiquitin molecules together using the C-terminus of one subunit and one of the seven lysine (K) residues (K6, K11, K27, K29, K33, K48, K63) or the N-terminal methionine (M1) on the other, to form a homotypic or branched ubiquitin chain (<xref ref-type="bibr" rid="B11">11</xref>). The recruitment of polyubiquitinated proteins to the proteasome is a classic protein turnover pathway (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Ubiquitin-dependent proteasomal degradation involves the polyubiquitination of substrate catalyzed by E1, E2, and especially E3 (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Subsequently, polymers linked through K11 or K48 (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>) trigger substrate protein degradation by the ATP-dependent 26S proteasome (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Classical mechanism and structural basis of E3 ubiquitin ligases. <bold>(A)</bold> The ubiquitin-proteasome system. A ubiquitin-activating enzyme (E1) mediates the activation of the carboxyl-terminal glycine residue of ubiquitin in an ATP-dependent manner. To format the thiolester linkage, the activated ubiquitin is then transferred to E1 followed by the transfer of ubiquitin to a thiolester of a ubiquitin-conjugating enzyme (E2). Ubiquitin protein ligase (E3) confers substrate specificity by recognizing the target proteins and mediating the conjugation of ubiquitin molecules to a lysine residue on the targeted protein <italic>via</italic> an iso-peptide bond. Polyubiquitinated substrate recognized by 26S proteasome for degradation. <bold>(B)</bold> Classification of breast cancer metastasis&#x2013;related ubiquitin E3 ubiquitin ligases based on a structural basis. The canonical E3s are classified into two canonical types: HECT and RING. HECT E3s contains HECT domains which consist of a E2-interacting N-lobe and a catalytic Cys residue containing C-lobe involved in ubiquitin transfer. RING-type E3s mediate the direct transfer of ubiquitin from E2 to substrate, including single RING-finger- type E3s, RING-like (Ubox)-type E3s, and multi-subunit RING-finger-type E3s. The Cullin-RING ubiquitin ligase (CRL) family is composed of a multi-unit. Each type of E3s or members of E3 complexes has been summarized and listed below the schematic diagram of the relevant category.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-752604-g002.tif"/>
</fig>
<p>Besides, different ubiquitin topologies adopt distinct structural conformations. Signals can be transduced by different types of ubiquitin modification, including mono-ubiquitination, multi-monoubiquitination, homotypic ubiquitin chains, and heterotypic ubiquitin chains, which send various &#x2018;codes&#x2019; to precisely exert degradative and non-degradative functions including modification of protein trafficking, interaction, and signal transduction (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). For example, linkages of homotypic K11 and K48 can drive proteasomal degradation; K27 linkages have been implicated in regulating DNA repair (<xref ref-type="bibr" rid="B19">19</xref>) and autoimmunity (<xref ref-type="bibr" rid="B20">20</xref>); K33 linkages were proposed to regulate trafficking; and mono-ubiquitination can prevent protein interactions (<xref ref-type="bibr" rid="B21">21</xref>). SMAD4 (SMAD family member 4) engages its signal partner SMAD2 (SMAD family member 2) after removing its own mono-ubiquitination (<xref ref-type="bibr" rid="B18">18</xref>). In addition, the mono-ubiquitination of histone H2A promotes transcriptional silencing (<xref ref-type="bibr" rid="B22">22</xref>), while the mono-ubiquitination of histone H2B mediates transcriptional elongation (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>The canonical E3s are classified into two types: Homologous to the E6AP Carboxyl Terminus (HECT) family (<xref ref-type="bibr" rid="B24">24</xref>) and Really Interesting New Gene (RING) finger family (<xref ref-type="bibr" rid="B25">25</xref>). HECT E3 ligases were named accordingly to identify protein E6AP (E6-associated protein), and they are characterized by a conserved C-terminal ~350 aa HECT domain and various N-terminal substrate-binding domains (<xref ref-type="bibr" rid="B26">26</xref>). HECT E3 ligases mediate a two-step ubiquitin transfer process, in which ubiquitin is firstly transferred from the E2-Ub intermediate to the E3 active cysteine residue before transferring to the substrate lysine residue (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>) (<xref ref-type="bibr" rid="B27">27</xref>). In contrast, The RING core is a small domain of 40&#x2013;70 residues. A cross-braced pattern of conserved cysteine and histidine residues coordinating two zinc ions maintains the native fold. The RING domain brings the E2&#x223c;Ub conjugate into the proximity of the substrate bound <italic>via</italic> substrate-recognition domains (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). RING E3s are further divided into two subtypes: single RING and multi-unit RING family. The Cullin-RING ubiquitin ligase (CRL) family is composed of a multi-unit. CRLs utilize Cullin proteins as a central scaffold which binds to a RING-box protein (Rbx) and an adaptor protein&#x2013;substrate receptor complex through its C- and N-termini. Most recognized CRLs are known as the SCF (Skp-Cullin-F-box) complex, in which Cullin interacts with Skp (S-phase kinase associated protein) proteins and utilizes various F-box proteins, to recruit substrates and initiate ubiquitin ligation (<xref ref-type="bibr" rid="B28">28</xref>). Besides, U-box E3s are also categorized as RING-type E3s, but their molecular structure subtly differs in that zinc-bound sites are replaced by a hydrophobic core (<xref ref-type="bibr" rid="B29">29</xref>) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>).</p>
<p>E3s target a broad spectrum of substrates. In cancer, the aberrant functions of E3s are linked to deregulated oncoproteins or tumor suppressors and affect the biological behavior of cells. Many E3s have been reported to be associated with breast cancer metastasis over the past few decades. In this review, we provided an overview of E3 ubiquitin ligases that have been found to be deregulated in breast cancer metastasis and summarized the multistep cascade of breast cancer cell alterations in metastasis, in which these E3 ubiquitin ligases are involved. Furthermore, we classified E3s based on their structures and analyzed the correlation of E3s with the survival of breast cancer patients. Finally, we considered their potency to the therapeutic intervention or prognostic assessment of metastatic breast cancer.</p>
</sec>
</sec>
<sec id="s2">
<title>2 Methods</title>
<sec id="s2_1">
<title>2.1 Search Strategy and Selection Criteria</title>
<p>The literatures involved in this study were searched from the databases PubMed and Medline (last search updated on January 1st, 2021). The key words used in the searching were &#x201c;E3 ubiquitin&#x201d;, &#x201c;breast cancer&#x201d; and &#x201c;Metastasis&#x201d; or &#x201c;dissemination&#x201d;/&#x201c;EMT&#x201d;/&#x201c;invasion&#x201d;/&#x201c;migration&#x201d;/&#x201c;intravasation&#x201d;/&#x201c;CTC&#x201d;. All the searching results were imported in the Endnote software to eliminate duplicates.</p>
<p>By scanning the titles and abstracts and further reading the full text, the irrelevant and retracted papers were excluded. The reference list of all selected articles was scanned to identify potentially relevant reports. The search results followed these including and excluding criteria:</p>
<p>
<italic>Including criteria</italic>: 1) research limits to the E3 ubiquitin ligases; 2) research related to human breast cancer; 3) research focused on metastasis or steps in the metastasis mechanisms of breast cancer; 4) studies provided sufficient experimental evidence or clinical data to support thesis; 5) peer-reviewed and formally published original literatures</p>
<p>
<italic>Excluding criteria</italic>: 1) research of the regulation of E3 ubiquitin ligases; 2) research of ubiquitin-like modifiers including SUMOylation; 3) retracted articles; 4) reviews or letter to editors.</p>
</sec>
<sec id="s2_2">
<title>2.2 Data Extraction</title>
<p>The above searches were performed and reviewed by two authors independently. The following items were recorded from each study: E3 name, gene ID, substrate, role in breast cancer metastasis, cellular function, signal pathway, verification by cell biological experiments, breast cancer cell lines, and clinical significance (expression difference and survival analysis). These records were cross-checked and double- checked by another author.</p>
</sec>
<sec id="s2_3">
<title>2.3 Survival Analysis</title>
<p>The association between the specific E3s&#x2019; ubiquitin ligase expression and survival in breast cancer was first analyzed using the PrognoScan database (<xref ref-type="bibr" rid="B30">30</xref>) as in previously mentioned methods (<xref ref-type="bibr" rid="B31">31</xref>). Then, we used a Kaplan&#x2013;Meier plotter (<xref ref-type="bibr" rid="B32">32</xref>) to validate and illustrate as a Kaplan&#x2013;Meier plot, in which the distant metastasis&#x2013;free survival (DMFS) curves for high (red) and low (black) expression groups dichotomized at the optimal cut-point were plotted. The logrank P-value and the hazard ratio with 95% confidence intervals were calculated. The threshold was adjusted to logrank P&#x2010;values at &lt;0.05.</p>
</sec>
</sec>
<sec id="s3">
<title>3 Results</title>
<sec id="s3_1">
<title>3.1 Description of Collected Studies</title>
<p>As shown in the brief flow chart (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>), the records on E3 ubiquitin ligases involved in breast cancer metastasis were screened from both the PubMed (N = 199) and Medline (N = 103) databases. After duplicate elimination, 202 records remained. By reading the titles and abstracts of these records, we excluded 91 literatures for the following reasons: studies in other cancer types (N = 23); irrelevant to metastasis (N = 28) or irrelevant to E3 ubiquitin ligase (N = 12); focused on the regulation of E3 ubiquitin ligase (N = 17) or de-ubiquitination (N = 3); and reviews (N = 4) and retracted articles (N = 4). Other studies had been validated by reading the full texts. Finally, a total of 111 literatures were included in our analysis.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Brief flow chart for literatures searching and selection. &#x201c;N&#x201d; refers to &#x201c;number of studies&#x201d;.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-752604-g003.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>3.2 Roles of E3 Ubiquitin Ligases Played in the Multiple Steps of Breast Cancer Metastasis</title>
<p>We further extracted key information from these literatures, including E3 name, gene ID, substrate, roles in breast cancer metastasis, cellular function (experimentally verified), signal pathway, breast cancer cell lines, and clinical significance. This detailed information of 54 E3 ubiquitin ligases/ligase complexes in total have been summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. By their molecular roles&#x2019; participation in the multiple steps of breast cancer metastasis, we briefly presented them as follows.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>E3 ubiquitin ligases that played important roles in the multiple steps of breast cancer metastasis .</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">E3</th>
<th valign="top" align="center">Substrate</th>
<th valign="top" align="center">Inhibit/Promote Metastasis </th>
<th valign="top" align="center">Cellular Function</th>
<th valign="top" align="center">Molecular Pathway</th>
<th valign="top" align="center">References</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Arkadia</td>
<td valign="top" align="left">Ski</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">EMT</td>
<td valign="top" align="left">TGF-beta</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B33">33</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">ASB13</td>
<td valign="top" align="left">SNAI2</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">Migration</td>
<td valign="top" align="left">Hippo&#x2013;YAP</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B34">34</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">BCA2</td>
<td valign="top" align="left">Autoubiquitination</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left">EGFR</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cbl</td>
<td valign="top" align="left">FAK and EGFR</td>
<td valign="top" align="left">Promote/inhibit</td>
<td valign="top" align="left">Cell detachment/EMT and migration</td>
<td valign="top" align="left">FAK, RANKL/RANK EGFR-ERK/Akt</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B37">37</xref>&#x2013;<xref ref-type="bibr" rid="B40">40</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">CHIP</td>
<td valign="top" align="left">Pfn1</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">Migration</td>
<td valign="top" align="left">ROCK1/Pfn1</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">COP1</td>
<td valign="top" align="left">c-Jun</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">Migration</td>
<td valign="top" align="left">ETV1, GSK3&#x3b2;/c-Jun</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cullin1</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">EMT, migration, invasion, and tube formation</td>
<td valign="top" align="left">PI3K/AKT, NF-&#x3ba;B</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B45">45</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cullin3/SPOP</td>
<td valign="top" align="left">PR, Er&#x3b1;</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">Migration</td>
<td valign="top" align="left">PR, ER&#x3b1;</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cullin3/KCTD5</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left"> TRPM4</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B48">48</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cullin7</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">Invasion</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B49">49</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">FBXW7</td>
<td valign="top" align="left">NICD1/Notch1</td>
<td valign="top" align="left">Promote/inhibit (indirect evidence)</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left">NOTCH/p62</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">FBXL8</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left">CCND2/IRF5</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B52">52</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">FBXL14</td>
<td valign="top" align="left">CDCP1</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">EMT, migration, and invasion</td>
<td valign="top" align="left">PI3K/AKT</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B53">53</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">FBXO11</td>
<td valign="top" align="left">SNAI1</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">Emt</td>
<td valign="top" align="left">SNAI1 and p53/p21/BCL2</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B55">55</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">FBXO22</td>
<td valign="top" align="left">HDM2</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left">p53/p21, SNAIL</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B56">56</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">FBXO31</td>
<td valign="top" align="left">Slug</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">Invasion</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B57">57</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">FBXO32</td>
<td valign="top" align="left">KLF4</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">EMT, migration, and invasion</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B58">58</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">GP78</td>
<td valign="top" align="left">HSPA5</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B60">60</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">HACE1</td>
<td valign="top" align="left">Rac1</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B61">61</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">HectD1</td>
<td valign="top" align="left">ACF7</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">EMT, migration, and invasion</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B62">62</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">HERC2</td>
<td valign="top" align="left">BRCA1</td>
<td valign="top" align="left">Promote (indirect evidence)</td>
<td valign="top" align="left">Invasion (indirect evidence)</td>
<td valign="top" align="left">BRCA1</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B63">63</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">HERC4</td>
<td valign="top" align="left">LATS1</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left">LATS1</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B64">64</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">HRD1</td>
<td valign="top" align="left">IGF-1R</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">EMT, migration, and invasion</td>
<td valign="top" align="left">IL6/NF-&#x3ba;B</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B65">65</xref>)</td>
</tr>
<tr>
<td valign="top" align="left"> ITCH</td>
<td valign="top" align="left">c-Jun, p73, p63, and ErbB4; RASSF1A; histone H1.2</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">EMT and invasion</td>
<td valign="top" align="left">Hippo</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B66">66</xref>&#x2013;<xref ref-type="bibr" rid="B68">68</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">MARCH5</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left">Mitochondrial</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B69">69</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">MDM2</td>
<td valign="top" align="left">P53; RB; Foxo3a</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">EMT, migration, and invasion</td>
<td valign="top" align="left">p53/p21</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B70">70</xref>&#x2013;<xref ref-type="bibr" rid="B73">73</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">MEX3C</td>
<td valign="top" align="left">PTEN</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">EMT</td>
<td valign="top" align="left">TWIST1, SNAI1, and YAP1</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B74">74</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">NEDD4</td>
<td valign="top" align="left">Robo1</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">Migration and invasion (indirect evidence)</td>
<td valign="top" align="left">FAK and Src</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B75">75</xref>&#x2013;<xref ref-type="bibr" rid="B77">77</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">NKLAM</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left"> Tumor immunity</td>
<td valign="top" align="left">NK killing activity</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B78">78</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">NRBE3</td>
<td valign="top" align="left">RB</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left">E-cadherin</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B79">79</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">NRDP1</td>
<td valign="top" align="left">ErbB3 and ErbB4</td>
<td valign="top" align="left">Inhibit (indirect evidence)</td>
<td valign="top" align="left">Migration and invasion (indirect evidence)</td>
<td valign="top" align="left">ER</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B80">80</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Parkin</td>
<td valign="top" align="left">HIF-1&#x3b1;</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left">HRE/VHL</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B81">81</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">PDZRN4</td>
<td valign="top" align="left">Kidins220 (predict)</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B82">82</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">PPIL2</td>
<td valign="top" align="left">SNAI1</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">EMT, migration, and invasion</td>
<td valign="top" align="left">SNAI1</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B83">83</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">RNF8</td>
<td valign="top" align="left">TWIST</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">EMT, migration, and invasion</td>
<td valign="top" align="left">TWIST; GSK3&#x3b2;</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B84">84</xref>, <xref ref-type="bibr" rid="B85">85</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">RNF20</td>
<td valign="top" align="left">Histone H2B</td>
<td valign="top" align="left">Promote (luminal)/inhibit (in basal-like)</td>
<td valign="top" align="left">Migration</td>
<td valign="top" align="left">ER (in luminal) and NF-kB (in basal-like)</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B87">87</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">RNF144A</td>
<td valign="top" align="left">HSPA2</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left">HSPA2</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B88">88</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">RNF208</td>
<td valign="top" align="left">Vimentin</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left">Vimentin</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B89">89</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">SIAH1/2</td>
<td valign="top" align="left">p27</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left">Rb</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B90">90</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">SKP2</td>
<td valign="top" align="left">AKT</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">Indirect evidence</td>
<td valign="top" align="left">PI3K/AKT</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B91">91</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">SCF-JFK</td>
<td valign="top" align="left">ING4</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">EMT, invasion, and angiogenesis</td>
<td valign="top" align="left">NF-&#x3ba;B</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B92">92</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">&#x3b2;-Trcp</td>
<td valign="top" align="left">PRLr/&#x3b2;Catenin</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">EMT, migration, and invasion</td>
<td valign="top" align="left">PRL,Wnt</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B93">93</xref>, <xref ref-type="bibr" rid="B94">94</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Smurf1</td>
<td valign="top" align="left">RhoA p120-catenin and TRAF4</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">EMT, migration, and invasion</td>
<td valign="top" align="left">TGF&#x3b2;</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B95">95</xref>&#x2013;<xref ref-type="bibr" rid="B99">99</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Smurf2</td>
<td valign="top" align="left">Smurf1, CNKSR2</td>
<td valign="top" align="left">Promote/inhibit</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left">TGF&#x3b2;, PI3K/AKT</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B100">100</xref>&#x2013;<xref ref-type="bibr" rid="B104">104</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">TRAF6</td>
<td valign="top" align="left">H2AX</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left">HIF1&#x3b1;</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B105">105</xref>, <xref ref-type="bibr" rid="B106">106</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">TRIM8</td>
<td valign="top" align="left">Er&#x3b1;</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">Migration and invasion</td>
<td valign="top" align="left">Er&#x3b1;</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B107">107</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">TRIM11</td>
<td valign="top" align="left">Er&#x3b1;</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">Migration</td>
<td valign="top" align="left">Er&#x3b1;</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B108">108</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">TRIM44</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">Migration</td>
<td valign="top" align="left">NF-&#x3ba;B</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B109">109</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">TRIM47</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">EMT, migration, and invasion</td>
<td valign="top" align="left">PI3K/Akt</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B110">110</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">UBR5</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">EMT, migration, and invasion</td>
<td valign="top" align="left">STAT3, TGF&#x3b1;, P38MAPK</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B111">111</xref>, <xref ref-type="bibr" rid="B112">112</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">UBR7</td>
<td valign="top" align="left">H2B</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">EMT, migration, and invasion</td>
<td valign="top" align="left">Wnt/&#x3b2;-catenin</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B113">113</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">WWP1</td>
<td valign="top" align="left">CXCR4 (indirect evidence)</td>
<td valign="top" align="left">Inhibit</td>
<td valign="top" align="left">Migration</td>
<td valign="top" align="left">TGF&#x3b2;/Smad</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B114">114</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">xIAP</td>
<td valign="top" align="left">TAK1</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">Invasion</td>
<td valign="top" align="left">TGF&#x3b2;/Smad</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B115">115</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">UBE2O</td>
<td valign="top" align="left">AMPk&#x3b1;2</td>
<td valign="top" align="left">Promote</td>
<td valign="top" align="left">EMT, migration, invasion, and stemness</td>
<td valign="top" align="left">AMPK/mTOR</td>
<td valign="top" align="center"> (<xref ref-type="bibr" rid="B116">116</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ASB13, ankyrin repeat and SOCS box containing 13; BCA2, breast cancer associated gene 2; Cbl&#x2010;b, Cbl proto-oncogene B; CHIP, STIP1 homology and U-box containing protein 1; CXCR4, C-X-C motif chemokine receptor 4; SPOP, speckle type BTB/POZ protein; KCTD5, K<sup>+</sup> channel tetramerization domain 5; FBXW7, F-box and WD repeat domain containing 7; FBXL8, F-box and leucine rich repeat protein 8; FBXL14, F-box and leucine rich repeat protein 14; FBXO11, F-box protein 11; FBXO22, F-box protein 22; FBXO31, F-box protein 31; FBXO32, F-box protein 32; GP78, autocrine motility factor receptor; HACE1, HECT domain and ankyrin repeat containing E3 ubiquitin protein ligase 1; HECTD1, HECT domain E3 ubiquitin protein ligase 1; HERC2, HECT and RLD domain containing E3 ubiquitin protein ligase 2; HERC4, HECT and RLD domain containing E3 ubiquitin protein ligase 4; MARCHF5, membrane associated ring-CH-type finger 5; MEX3C, mex-3 RNA binding family member C; NKLAM, Natural killer lytic-associated molecule; NRBE3, New RB E3 ubiquitin ligase; NRDP1, also known as RNF41, ring finger protein 41; Parkin, parkin RBR E3 ubiquitin protein ligase; PDZRN4, PDZ domain containing ring finger 4; PPIL2, peptidylprolyl isomerase like 2; RNF, RING Finger Protein; RASSF1, Ras association domain family member 1; SIAH1/2, siah E3 ubiquitin protein ligase 1 and 2; SKP2, S-phase kinase associated protein 2; SCF, Skp-Cullin-F-box) complex; &#x3b2;-Trcp, beta-transducin repeat containing E3 ubiquitin protein ligase; SMURF1 and SMURF2, SMAD specific E3 ubiquitin protein ligase 1 and 2; TRAF6, TNF receptor associated factor 6; TRIM8, TRIM11, TRIM44, TRIM47: tripartite motif containing 8, 11, 44 and 47; UBR5 and UBR7, ubiquitin protein ligase E3 component n-recognin 5 and 7; TWIST, twist family bHLH transcription factor 1; WWP1, WW domain containing E3 ubiquitin protein ligase 1; xIAP, X-linked inhibitor of apoptosis; UBE2O, ubiquitin conjugating enzyme E2 O; N/A, Not Available in the reference literature.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3_2_1">
<title>3.2.1 Breast Cancer Cell Epithelial&#x2013;Mesenchymal Transition</title>
<p>EMT is thought to be a hallmark in tumor metastasis (<xref ref-type="bibr" rid="B117">117</xref>, <xref ref-type="bibr" rid="B118">118</xref>). By the loss of cell&#x2013;cell conjunction, the epithelial cells acquire migratory, invasive properties and trans-differentiate to mesenchymal phenotypic cells (<xref ref-type="bibr" rid="B9">9</xref>). Carcinoma cells undergoing EMT can escape from primary tumor sites, enter the circulation, and then move out to invade distant sites where secondary tumors or metastases begin to form (<xref ref-type="bibr" rid="B117">117</xref>, <xref ref-type="bibr" rid="B119">119</xref>).</p>
<p>Not all breast cancer cells are typical EMT cells. In a study of breast cancer aggressiveness, by profiling EMT-like subclones from MCF-7 breast cancer cells based on EMT properties, comparing their gene-expressing differences with other non-EMT-like subclones, FBXO11 (F-box protein 11, a member of the E3 ubiquitin ligase complex) was screened out. It is concluded that FBXO11 is a candidate molecular alternative to the canonical EMT-dependent aggressiveness in highly differentiated luminal tumors (<xref ref-type="bibr" rid="B54">54</xref>). The specific roles suggest that E3 ligase FBXO11 targets transcription factor SNAI1 (snail family transcriptional repressor 1) protein which induces EMT, for ubiquitination-dependent degradation (<xref ref-type="bibr" rid="B55">55</xref>), and regulates the p53/p21/BCL2 pathway (<xref ref-type="bibr" rid="B54">54</xref>).</p>
<p>In cancer cells, the loss of E-cadherin results in EMT and contributes to increased metastasis and chemoresistance (<xref ref-type="bibr" rid="B120">120</xref>, <xref ref-type="bibr" rid="B121">121</xref>). The absence of the ubiquitin protein ligase E3 component n-recognin 5 (UBR5) has been characterized to trigger aberrant EMT in TNBC, principally <italic>via</italic> an abrogated expression of E-cadherin, which resulted in severe lung metastasis in UBR5 knockout mice. The E-cadherin transcription repressors slug, twist, and zinc finger E-box-binding homeobox 1/2 (ZEB1/2) are overexpressed in multiple drug-resistant (MDR) breast cancer cells, making them more metastatic (<xref ref-type="bibr" rid="B122">122</xref>). The E3 ubiquitin ligase Casitas B lymphoma-b (Cbl-b) was reported to prevent tumor metastasis by maintaining the epithelial phenotype in MDR breast cancer cells. Cbl-b inhibits MDR breast cancer cell migration by specifically targeting epidermal growth factor receptor (EGFR) ubiquitination-dependent degradation, which prevents metastatic breast cancer cell EMT by inhibition of the EGFR-ERK/Akt-miR-200c-ZEB1 axis (<xref ref-type="bibr" rid="B37">37</xref>).</p>
<p>Not only restricted in the degradation of substrates, an RNA-binding E3 ligase, mex-3 RNA binding family member C (MEX3C), catalyzed protein PTEN (phosphatase and tensin homolog) K27-linked polyubiquitination, leading to its enzymatic functions&#x2019; switch to serine/threonine phosphatase activity (<xref ref-type="bibr" rid="B74">74</xref>). Consequently, switched PTEN promotes EMT.</p>
<p>The roles of E3 ubiquitin ligases played in breast cancer cell EMT include regulating transcription factors in EMT-inducing gene expression, abrogated expressing of key proteins, and affecting the activities of substrate proteins. The specific modification is not only as an E3 ubiquitin ligase to influence protein stability but also to induce the change of protein catalytic activities.</p>
</sec>
<sec id="s3_2_2">
<title>3.2.2 Breast Cancer Cell Invasion and Migration</title>
<p>Escaping from the surrounding tissues of the primary tumor, invading the blood or lymphatic vessels (intravasation), and migrating are essential steps in breast cancer metastasis. In this analysis, most of the E3 ubiquitin ligases (50 out of 54) have been detected to promote or inhibit the invasion and migration of breast cancer cells. Ubiquitin E3 ligases for tumor suppressors play important roles in tumorigenesis. The E3 ligase MDM2 has been characterized to target both tumor suppressor p53 and RB for proteasomal degradation, which promotes breast cancer cell invasion and migration <italic>via</italic> the p53/p21 pathway (<xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B71">71</xref>). Nedd4 and carboxyl terminus of Hsc-70-interacting protein (CHIP) are two E3 ubiquitin ligases which function as regulators of tumor suppressor PTEN (<xref ref-type="bibr" rid="B123">123</xref>, <xref ref-type="bibr" rid="B124">124</xref>). CHIP has been confirmed to promote breast cancer cell migration (<xref ref-type="bibr" rid="B41">41</xref>); the role of Nedd4 in breast cancer cell migration is not clear.</p>
<p>In the migration process, &#x3b2;-catenin and E-cadherin are two key proteins that function in cell&#x2013;cell adhesion. SCF<sup>&#x3b2;Trcp</sup> has been characterized to be the E3 ligase complex responsible for &#x3b2;-catenin degradation (<xref ref-type="bibr" rid="B93">93</xref>). As for E-cadherin, MDM2 has also been identified as responsible for its ubiquitin-dependent degradation (<xref ref-type="bibr" rid="B71">71</xref>). The E3 ligase new RB-E3 ligase protein (NRBE3) promotes breast cancer cell migration <italic>via</italic> E-cadherin but is not dependent on its E3 ligase property (<xref ref-type="bibr" rid="B79">79</xref>). Although it has been speculated that UBR5 might regulate E-cadherin through targeting substrates for proteasome-dependent degradation, both <italic>in vivo</italic> and <italic>in vitro</italic> ubiquitin assays were required for validation (<xref ref-type="bibr" rid="B111">111</xref>).</p>
</sec>
<sec id="s3_2_3">
<title>3.2.3 Breast Cancer Cell Stemness</title>
<p>Breast cancers are heterogenous. Although breast cancer stem cells (BCSCs) account for a very small percentage, they have the greatest ability of self-renewal and potential of unlimited differentiation capacity into heterogeneous tumor cell populations, all of which contribute to regenerate tumor at original or distant sites <italic>in vivo.</italic> Cancer cell stemness properties can be identified by several stem cell markers such as CD34, CD44, CD123, CD133, Oct4, Sox2, Nanog, ABCG2, and MYC and the conduction of cell stemness sphere assays (<xref ref-type="bibr" rid="B116">116</xref>, <xref ref-type="bibr" rid="B125">125</xref>).</p>
<p>Not only is MYC a stem cell marker; it is also a well-characterized oncoprotein that is upregulated in 30&#x2013;50% of breast cancer patients. MYC is regulated by AMPK&#x3b1; (AMP-activated protein kinase alpha subunit)/mTORC1 (mechanistic target of rapamycin kinase) axis. Ubiquitin-conjugating enzyme E2O (UBE2O), a large E2 ubiquitin-conjugating enzyme that represents both E2 and E3 ligase activities, is found to promote AMPK&#x3b1; ubiquitination and degradation and then to activate the mTORC1-MYC signal pathway in breast cancer cells. By detection of stem cell markers and observation of cell stemness sphere formation, it is suggested that UBE2O endowed breast cells with cancer stemness properties (<xref ref-type="bibr" rid="B116">116</xref>).</p>
<p>In a study of the characteristics of BCSCs by selectively sorting cells with stem cell markers, another E3 ligase, Cbl, has been found to be involved in maintaining cancer cell stemness. EGFR is important for cancer stem cell maintenance and metastasis. Its turnover relies on the ubiquitin pathway. Cbl-c, a member of Cbl family, can target EGFR for k-63 linked ubiquitination and lysosomal degradation. By interfering with the binding of EGFR and its E3 ubiquitin ligase Cbl-c, a membrane protein sarcoglycan epsilon (SGCE) inhibits Cbl-c ubiquitin ability and stabilizes EGFR and then promotes breast cancer cell stemness (<xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>Whether it is in regulating stem property&#x2013;maintaining key proteins, or in the analysis of BCSCs&#x2019; characteristics, E3 ubiquitin ligases have been found to play roles in regulating the pluripotency of BCSCs.</p>
</sec>
<sec id="s3_2_4">
<title>3.2.4 Angiogenesis</title>
<p>In the process of metastasis, to survive and initiate the secondary cancer foci, cells need the capability of adapting to supportive niches such as angiogenesis (<xref ref-type="bibr" rid="B8">8</xref>). Two members of E3 ligases complex were found to be functional in angiogenesis.</p>
<p>The Skp&#x2013;CUL1&#x2013;F-box ubiquitin ligase complex is one of the best-characterized multi-subunit RING finger complexes composed of four subunits. F-box protein 42 (Fbxo42, also known as JFK) is one of the F-box family proteins. It is demonstrated that JFK targets ING4 for ubiquitination and degradation through the assembly of an SCF<sup>JFK</sup> ubiquitin ligase. ING4 is a member of the inhibitor of growth (ING) protein family, defined as tumor suppressors by directly interacting with p53 and promotes the transactivation of p53 and negatively regulates NF-&#x3ba;B-responsive gene transcription. The NF-&#x3ba;B pathway regulates the expression of several prominent pro-angiogenic factors, including IL-6, IL-8, CCL5, and COX-2. Degradation of ING4 by E3 ligase SCF<sup>JFk</sup> results in the destabilization of NF-&#x3ba;B signaling and promotes angiogenesis. In breast cancer animal models, it was also observed that JFK-mediated metastasis takes the roots of lungs (<xref ref-type="bibr" rid="B92">92</xref>).</p>
<p>Another member of the SCF complex is Cullin1. In the tube formation assay, the knockdown of Cullin1 significantly decreased the number of complete tubule structures formed by human umbilical vein endothelial cells (HUVECs) <italic>in vitro</italic>. In the tail vein metastasis animal model, MDA-MB-231 cells with Cullin1 stable knockdown showed reduced vascularization and micro-vessels in matrigel plug (<xref ref-type="bibr" rid="B45">45</xref>). Cullin1 regulates the zeste 2 polycomb repressive complex 2 subunit (EZH2), which enhances cytokine expression through the NF-&#x3ba;B pathway. The cytokine expression further results in aggravating the breast cancer cell metastasis through the PI3K&#x2013;AKT&#x2013;mTOR signaling pathway. Due to the lack of ubiquitin assays, it is unclear whether EZH2 is the substrate protein of Cullin1. Besides, in the SCF E3 ubiquitin complexes, Cullin1 often acts as a &#x2018;scaffold&#x2019; protein; what the target-recognizing subunit in this complex is also needs to be clarified further.</p>
<p>Both JFK and Cullin1 regulated angiogenesis in breast cancer metastasis, through the NF-&#x3ba;B pathway. It is noticed that three other E3 ubiquitin ligases, hydroxymethylglutaryl-coenzyme A reductase degradation protein 1 (HRD1) (<xref ref-type="bibr" rid="B65">65</xref>), ring finger protein 20 (RNF20) (<xref ref-type="bibr" rid="B86">86</xref>), and tripartite motif containing 44 (TRIM44) (<xref ref-type="bibr" rid="B109">109</xref>), were also found regulating the NF-&#x3ba;B pathway. We need to pay attention to whether they are responsible for angiogenesis in breast cancer metastasis in addition to their existing roles.</p>
</sec>
<sec id="s3_2_5">
<title>3.2.5 Immunity Response/Rescue</title>
<p>The multiple steps of metastasis rely on reciprocal interactions between breast cancer cells and the microenvironment. Immune cells and their mediators are known to facilitate metastasis within the microenvironment (<xref ref-type="bibr" rid="B126">126</xref>). Natural killer (NK) cells play an essential role in the defense against viruses or microbial pathogens and malignancies produced by the body itself. In the process of immune response, NK cells execute anti-pathogen or anti-tumor activities that rely on the direct cytolytic activity of these cells and produce various cytokines (<xref ref-type="bibr" rid="B127">127</xref>). An E3 ubiquitin ligase, the natural killer lytic-associated molecule (NKLAM), has been characterized to play a major role in the cytolytic activity of NK cells and to control tumor development, dissemination, and distant metastasis <italic>in vivo</italic>. The target substrate of NKLAM in NK cells has not been directly determined yet (<xref ref-type="bibr" rid="B78">78</xref>).</p>
<p>Recently, ubiquitin protein ligase E3 component N-recognin 5 (UBR5) has been found to induce a CD8+ T cell&#x2013;mediated immune response. The loss of UBR5 in breast cancer cells causes the appearance of certain putative immunogens&#x2019; strong CD8+ T cell&#x2013;mediated response in a paracrine manner (<xref ref-type="bibr" rid="B112">112</xref>). UBR5 has been previously found to be involved in TNBC metastasis (<xref ref-type="bibr" rid="B111">111</xref>). According to these two studies, the loss of UBR5 caused reduced angiogenesis and triggered aberrant EMT depending on the EMT regulators&#x2019; inhibitor of DNA binding 1 and 3 (ID1 and ID3), which limited the metastasis of breast cancer. Although it was indicated that UBR5 executed its biological function principally <italic>via</italic> abrogated expression of E-cadherin, its specific ubiquitin substrate still needs validation through both <italic>in vivo</italic> and <italic>in vitro</italic> ubiquitin assays.</p>
<p>More and more evidences suggest that E3 ubiquitin ligases participate in the regulation of immunosuppression. Whether E3 can be used as combined targets of tumor immunotherapy in the future needs further research (<xref ref-type="bibr" rid="B126">126</xref>, <xref ref-type="bibr" rid="B128">128</xref>).</p>
<p>Thus, the identifying regulators of each step in the process above should provide insights into the mechanisms that control breast cancer metastasis and hence patient survival.</p>
</sec>
</sec>
<sec id="s3_3">
<title>3.3 Classification of Breast Cancer Metastasis&#x2013;Related E3s Based on the Structure</title>
<p>Ubiquitination is a ubiquitous form of post-translational modification of proteins. In this process, E3s specifically bind to the substrate proteins, mediate the ligation of ubiquitin molecules and affect the specific proteins' turnover and  functions. Thus, it is important to clarify the mechanism in target drug research and development (<xref ref-type="bibr" rid="B129">129</xref>). Do the mechanisms of these identified breast cancer metastasis E3 ligases have commonalities?</p>
<p>We classified the previously summarized E3 ligases of classical families based on their structures. The results suggested that the E3s involved in breast cancer metastasis belong to diversified classes, such as the HECT family, RING family, and U-box family (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). There are eight E3 ligases that belong to the HECT family and are further classified into three subfamilies, including SMAD-specific E3 ubiquitin protein ligase 1 (Smurf1), SMAD-specific E3 ubiquitin protein ligase 2 (Smurf2), itchy E3 ubiquitin protein ligase (Itch) and WW domain&#x2013;containing E3 ubiquitin protein ligase 1 (WWP1), NEDD4, belonging to the NEDD4 family, which contains a WW domain, C2 domain, and HECT domain; HECT and RLD domain which contains E3 ubiquitin protein ligases 2 and 4 (HERC2 and HERC4), as the HERC family, which contains the common RCC1-like domain (RLD) and HECT domain; and UBR5, as the &#x201c;other&#x201d; family, which contains a UBA domain, zinc finger domain, and HECT domain.</p>
<p>RING E3 ligases are further divided into two subtypes: single RING and multi-unit RING family. Several E3 ligases belong to single RING type (listed in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>, single RING family), performing a single-step ubiquitin transfer from the E2-Ub to the substrate, which work as allosteric activators. As for multi-subunit RING type, The Cullin-RING ubiquitin ligase (CRL) family is composed of a multi-unit. Most recognized CRLs are known as the SCF (SKP-Cullin-F-box) complex, in which Cullin1 interacts with Skp1 or Skp2 and utilizes various F-box proteins (shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>, F-box proteins) to recruit substrates and initiate ubiquitin ligation. Cullin7 also forms a SCF complex with SKP1 and F-box and WD repeat domain containing 8 <bold>(</bold>FBXW8). Cullin3-RBX1 (Ring-box1) E3 ubiquitin ligase complex requires BTB (Bric-a-brac-Tramtrack-Broad complex) domain protein as an adaptor. Two BTB proteins, speckle-type BTB/POZ protein (SPOP) and K<sup>+</sup> channel tetramerization domain 5 (KCTD5), forms a complex with Cullin3, respectively.</p>
<p>Three E3 ubiquitin ligases, CHIP, NRBE3, and peptidylprolyl isomerase like 2 (PPIL2) belong to the U-box family, which contains a U-box domain. U-box E3s are also categorized as RING-type E3s, but their molecular structure subtly differs in that zinc-bound sites are replaced by a hydrophobic core (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>There are still many E3 ligases that cannot be characterized into classical types. Ankyrin repeat and SOCS box containing 13 (ASB13) belongs to the ankyrin repeat and suppressor of cytokine signaling (SOCS) box (Asb), which contains six-ankyrin repeat domain (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B130">130</xref>). The UBR-box is a 70-residue zinc finger domain present in the UBR family of E3 ubiquitin ligases. Unlike UBR5, which also contains an HECT domain, the structures responsible for UBR7 executing its E3 role need to be verified by <italic>in vitro</italic> ubiquitin assays (<xref ref-type="bibr" rid="B113">113</xref>, <xref ref-type="bibr" rid="B131">131</xref>, <xref ref-type="bibr" rid="B132">132</xref>). Intriguingly, UBE2O, an E2/E3 hybrid ubiquitin-protein ligase, displays both E2 ubiquitin conjugating enzyme and E3 ubiquitin ligase activities (<xref ref-type="bibr" rid="B116">116</xref>, <xref ref-type="bibr" rid="B133">133</xref>). Compared to classical types, the specific catalytic mechanism of several non-classical E3s will need more efforts to be figured out in the future.</p>
</sec>
<sec id="s3_4">
<title>3.4 Analysis and Summary of E3 Ubiquitin Ligases Significantly Correlated With Breast Cancer Patients&#x2019; Survival</title>
<p>Since the E3s are involved in breast cancer metastasis, are they associated with patients&#x2019; survival? Through the analysis of literatures, we found that out of the 54 E3 ligases, 31 have been reported to be related to the survival of patients (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, from &#x201c;ASB13&#x201d; to &#x201c;UBE2O&#x201d;). The other 23 E3 ubiquitin ligases lack clinical data to determine whether they have clinical significance. Although some of them have verified the specific roles involved in metastasis by cellular experiments and animal models, these E3 ligases&#x2019; relationships with breast cancer patients&#x2019; survival need to be elucidated. Therefore, we used publicly available clinical data to conduct survival analysis (only in which the literature were claimed to have been verified by molecular and animal experiments).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>E3s are significantly correlated with patients&#x2019; survival.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">E3s</th>
<th valign="top" colspan="9" align="center">Clinical Significance</th>
</tr>
<tr>
<th valign="top" align="center">Population</th>
<th valign="top" align="center">DetectionType</th>
<th valign="top" align="center">Method of Detection</th>
<th valign="top" align="center">Expressing Difference </th>
<th valign="top" align="center">Categorization</th>
<th valign="top" align="center">Survival Analysis</th>
<th valign="top" align="center">HR</th>
<th valign="top" align="center">95%CI</th>
<th valign="top" align="center">Logrank P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">ASB13</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">mRNA</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">High <italic>vs</italic>. Low</td>
<td valign="top" align="left">OS</td>
<td valign="top" align="left">0.67</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">5.7e&#x2013;09</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">BCA2</td>
<td valign="top" rowspan="4" align="left">3,554</td>
<td valign="top" rowspan="4" align="left">mRNA</td>
<td valign="top" rowspan="4" align="left">RNA-seq</td>
<td valign="top" rowspan="4" align="left">Expressing difference (in subtype cell lines)</td>
<td valign="top" rowspan="4" align="left">High <italic>vs</italic>. Low</td>
<td valign="top" rowspan="4" align="left">OS (in subtypes)</td>
<td valign="top" align="left">LuminalA: 1.21</td>
<td valign="top" align="left">1&#x2013;1.46</td>
<td valign="top" align="left">0.046</td>
</tr>
<tr>
<td valign="top" align="left">LuminalB: 1.41</td>
<td valign="top" align="left">1.14&#x2013;1.75</td>
<td valign="top" align="left">0.0018</td>
</tr>
<tr>
<td valign="top" align="left">Basal: 1.25</td>
<td valign="top" align="left">0.96&#x2013;1.64</td>
<td valign="top" align="left">0.1</td>
</tr>
<tr>
<td valign="top" align="left">HER2+: 1.54</td>
<td valign="top" align="left">1.01&#x2013;2.34</td>
<td valign="top" align="left">0.044</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Cbl&#x2010;b</td>
<td valign="top" rowspan="2" align="left">292</td>
<td valign="top" rowspan="2" align="left">Protein</td>
<td valign="top" rowspan="2" align="left">IHC</td>
<td valign="top" rowspan="2" align="left">Expressing difference</td>
<td valign="top" rowspan="2" align="left">Positive <italic>vs</italic>.<break/>Negative</td>
<td valign="top" rowspan="2" align="left">OS,<break/>DFS</td>
<td valign="top" align="left">OS: 0.550</td>
<td valign="top" align="left">0.341&#x2013;0.888</td>
<td valign="top" align="left">0.013</td>
</tr>
<tr>
<td valign="top" align="left">DFS: 0.616</td>
<td valign="top" align="left">0.414&#x2013;0.917</td>
<td valign="top" align="left">0.016</td>
</tr>
<tr>
<td valign="top" align="left">COP1</td>
<td valign="top" align="left">105</td>
<td valign="top" align="left">Protein</td>
<td valign="top" align="left">IHC</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">Positive <italic>vs</italic>.<break/>Negative</td>
<td valign="top" align="left">OS, RFS</td>
<td valign="top" align="left">RR: 0.65</td>
<td valign="top" align="left">0.149&#x2013;6.732</td>
<td valign="top" align="left">P &lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Cullin7</td>
<td valign="top" align="left">103</td>
<td valign="top" align="left">Protein</td>
<td valign="top" align="left">IHC</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">Positive <italic>vs</italic>.<break/>Negative</td>
<td valign="top" align="left">OS</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">P &lt; 0.05</td>
</tr>
<tr>
<td valign="top" align="left">FBXL14</td>
<td valign="top" align="left">1,764</td>
<td valign="top" align="left">mRNA</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">High <italic>vs</italic>. Low</td>
<td valign="top" align="left">RFS</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">P &lt; 0.0001</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">FBXO11</td>
<td valign="top" rowspan="3" align="left">OS: 1,402<break/>RFS: 3,951 MFS: NA</td>
<td valign="top" rowspan="3" align="left">mRNA</td>
<td valign="top" rowspan="3" align="left">RNA-seq</td>
<td valign="top" rowspan="3" align="left">Expressing difference</td>
<td valign="top" rowspan="3" align="left">High <italic>vs</italic>. Low</td>
<td valign="top" align="left">OS,</td>
<td valign="top" align="left">OS: 1.37</td>
<td valign="top" align="left">1.08&#x2013;1.74</td>
<td valign="top" align="left">0.01</td>
</tr>
<tr>
<td valign="top" align="left">RFS</td>
<td valign="top" align="left">RFS: 1.46</td>
<td valign="top" align="left">1.31&#x2013;1.63</td>
<td valign="top" align="left">P &lt; 0.0001</td>
</tr>
<tr>
<td valign="top" align="left">MFS</td>
<td valign="top" align="left">MFS: 0.64</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">0.04</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">FBXO22</td>
<td valign="top" rowspan="2" align="left">410</td>
<td valign="top" rowspan="2" align="left">Protein</td>
<td valign="top" rowspan="2" align="left">IHC</td>
<td valign="top" rowspan="2" align="left">Expressing difference</td>
<td valign="top" rowspan="2" align="left">Positive <italic>vs</italic>.<break/>Negative</td>
<td valign="top" rowspan="2" align="left">OS,<break/>DFS</td>
<td valign="top" align="left">OS: 0.604</td>
<td valign="top" align="left">0.398&#x2013;0.918</td>
<td valign="top" align="left">0.018</td>
</tr>
<tr>
<td valign="top" align="left">DFS: 0.536</td>
<td valign="top" align="left">0.315&#x2013;0.912</td>
<td valign="top" align="left">0.021</td>
</tr>
<tr>
<td valign="top" align="left">GP78</td>
<td valign="top" align="left">108</td>
<td valign="top" align="left">Protein</td>
<td valign="top" align="left">IHC</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">Positive <italic>vs</italic>.<break/>Negative</td>
<td valign="top" align="left">OS, DFS</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">HACE1</td>
<td valign="top" align="left">1,764</td>
<td valign="top" align="left">mRNA</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">High <italic>vs</italic>. Low</td>
<td valign="top" align="left">RFS</td>
<td valign="top" align="left">1.40</td>
<td valign="top" align="left">1.20&#x2013;1.64</td>
<td valign="top" align="left">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">HectD1</td>
<td valign="top" align="left">1,864</td>
<td valign="top" align="left">mRNA</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">High <italic>vs</italic>. Low</td>
<td valign="top" align="left">OS</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">1.00e&#x2013;16</td>
</tr>
<tr>
<td valign="top" align="left">HERC4</td>
<td valign="top" align="left">161</td>
<td valign="top" align="left">mRNA</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">High <italic>vs</italic>. Low</td>
<td valign="top" align="left">OS</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">0.029</td>
</tr>
<tr>
<td valign="top" align="left">HRD1</td>
<td valign="top" align="left">170</td>
<td valign="top" align="left">Protein</td>
<td valign="top" align="left">IHC</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">Positive <italic>vs</italic>.<break/>Negative</td>
<td valign="top" align="left">OS</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">&lt;0.01</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left"> ITCH</td>
<td valign="top" align="left">OS: 1,115</td>
<td valign="top" rowspan="4" align="left">mRNA</td>
<td valign="top" rowspan="4" align="left">RNA-seq</td>
<td valign="top" rowspan="4" align="left">Expressing difference</td>
<td valign="top" rowspan="4" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" rowspan="4" align="left">OS, RFS, DMFS, PPS</td>
<td valign="top" align="left">OS: 1.47</td>
<td valign="top" align="left">1.15&#x2013;1.87</td>
<td valign="top" align="left">0.0016</td>
</tr>
<tr>
<td valign="top" align="left">RFS: 3,455;</td>
<td valign="top" align="left">RFS: 1.39</td>
<td valign="top" align="left">1.24&#x2013;1.56</td>
<td valign="top" align="left">2.2e&#x2013;08</td>
</tr>
<tr>
<td valign="top" align="left">DMFS: 1,609</td>
<td valign="top" align="left">DMFS: 1.39</td>
<td valign="top" align="left">1.14&#x2013;1.71</td>
<td valign="top" align="left">0.0013</td>
</tr>
<tr>
<td valign="top" align="left">PPS: 351</td>
<td valign="top" align="left">PPS: 1.3</td>
<td valign="top" align="left">1&#x2013;1.68</td>
<td valign="top" align="left">0.047</td>
</tr>
<tr>
<td valign="top" align="left">MARCH5</td>
<td valign="top" align="left">RNA: 1,081; IHC: 65</td>
<td valign="top" align="left">mRNA<break/>Protein</td>
<td valign="top" align="left">RNA-seq<break/>IHC</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">High <italic>vs</italic>. Low<break/>Positive <italic>vs</italic>.<break/>Negative</td>
<td valign="top" align="left">OS</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">0.048<break/>0.029</td>
</tr>
<tr>
<td valign="top" align="left">Parkin</td>
<td valign="top" align="left">RNA: 3,951<break/>IHC: 168</td>
<td valign="top" align="left">mRNA<break/>Protein</td>
<td valign="top" align="left">RNA-seq<break/>IHC</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">High <italic>vs</italic>. Low<break/>Tumor <italic>vs</italic>. non-tumor</td>
<td valign="top" align="left">RFS, DMFS</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">2.4e&#x2013;13<break/>0.0090</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">PDZRN4</td>
<td valign="top" rowspan="2" align="left">81</td>
<td valign="top" rowspan="2" align="left">mRNA<break/>Protein</td>
<td valign="top" rowspan="2" align="left">RNA-seq<break/>IHC, WB</td>
<td valign="top" rowspan="2" align="left">Expressing difference</td>
<td valign="top" rowspan="2" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" rowspan="2" align="left">OS, DFS</td>
<td valign="top" align="left">OS: 1.663</td>
<td valign="top" align="left">1.013&#x2013;2.731</td>
<td valign="top" align="left">0.044</td>
</tr>
<tr>
<td valign="top" align="left">DFS: 1.840</td>
<td valign="top" align="left">1.126&#x2013;3.007</td>
<td valign="top" align="left">0.015</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">RNF8</td>
<td valign="top" rowspan="4" align="left">IHC: 202<break/>RNA: 3,315</td>
<td valign="top" rowspan="4" align="left">Protein<break/>mRNA</td>
<td valign="top" rowspan="4" align="left">IHC<break/>RNA-seq</td>
<td valign="top" rowspan="4" align="left">Expressing difference</td>
<td valign="top" rowspan="4" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" rowspan="4" align="left">OS, RFS, DMFS, PPS</td>
<td valign="top" align="left">OS: 1.31</td>
<td valign="top" align="left">1.02&#x2013;1.68</td>
<td valign="top" align="left">0.035</td>
</tr>
<tr>
<td valign="top" align="left">RFS: 1.15</td>
<td valign="top" align="left">1.03&#x2013;1.29</td>
<td valign="top" align="left">0.013</td>
</tr>
<tr>
<td valign="top" align="left">DMFS: 1.43</td>
<td valign="top" align="left">1.17&#x2013;1.76</td>
<td valign="top" align="left">0.00056</td>
</tr>
<tr>
<td valign="top" align="left">PPS: 1.22</td>
<td valign="top" align="left">0.93&#x2013;1.6</td>
<td valign="top" align="left">0.16</td>
</tr>
<tr>
<td valign="top" align="left">RNF144A</td>
<td valign="top" align="left">166</td>
<td valign="top" align="left">Protein</td>
<td valign="top" align="left">IHC</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" align="left">OS, DMFS</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">&lt;0.05</td>
</tr>
<tr>
<td valign="top" align="left">RNF208</td>
<td valign="top" align="left">3,951</td>
<td valign="top" align="left">mRNA</td>
<td valign="top" align="left">qRT-PCR<break/>RNA-seq</td>
<td valign="top" align="left">Expressing difference in subtype</td>
<td valign="top" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" align="left">RFS</td>
<td valign="top" align="left">0.76</td>
<td valign="top" align="left">0.69&#x2013;0.85</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">SIAH2</td>
<td valign="top" align="left">235</td>
<td valign="top" align="left">Protein</td>
<td valign="top" align="left">IHC</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" align="left">OS (ER+)</td>
<td valign="top" align="left">0.68</td>
<td valign="top" align="left">0.52&#x2013;0.89</td>
<td valign="top" align="left">&lt;0.005</td>
</tr>
<tr>
<td valign="top" align="left">SKP2</td>
<td valign="top" align="left">80</td>
<td valign="top" align="left">Protein</td>
<td valign="top" align="left">IHC</td>
<td valign="top" align="left">Expressing difference in subtype</td>
<td valign="top" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" align="left">OS (Her2+)</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">0.0002</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">SCF-JFK</td>
<td valign="top" rowspan="2" align="left">NA</td>
<td valign="top" rowspan="2" align="left">mRNA</td>
<td valign="top" rowspan="2" align="left">RNA-seq</td>
<td valign="top" rowspan="2" align="left">Expressing difference</td>
<td valign="top" rowspan="2" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" rowspan="2" align="left">OS</td>
<td valign="top" align="left">LuminalA: 0.94</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">0.035</td>
</tr>
<tr>
<td valign="top" align="left">Basal: 7.24</td>
<td valign="top" align="left"/>
<td valign="top" align="left">0.035</td>
</tr>
<tr>
<td valign="top" align="left">TRAF6</td>
<td valign="top" align="left">212</td>
<td valign="top" align="left">Protein</td>
<td valign="top" align="left">IHC</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" align="left">DMFS</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">TRIM8</td>
<td valign="top" rowspan="2" align="left">IHC: 91<break/>RNA: NA</td>
<td valign="top" rowspan="2" align="left">Protein<break/>mRNA</td>
<td valign="top" rowspan="2" align="left">IHC<break/>RNA-seq</td>
<td valign="top" rowspan="2" align="left">Expressing difference</td>
<td valign="top" rowspan="2" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" align="left">OS</td>
<td valign="top" align="left">All type: 0.69</td>
<td valign="top" align="left">0.58&#x2013;0.81</td>
<td valign="top" align="left">3.8e&#x2013;06</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">ER+: 0.71</td>
<td valign="top" align="left">0.53&#x2013;0.96</td>
<td valign="top" align="left">0.025</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">TRIM11</td>
<td valign="top" rowspan="2" align="left">NA</td>
<td valign="top" rowspan="2" align="left">mRNA</td>
<td valign="top" rowspan="2" align="left">RNA-seq</td>
<td valign="top" rowspan="2" align="left">Expressing difference</td>
<td valign="top" rowspan="2" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" align="left">OS</td>
<td valign="top" align="left">OS: 1.63</td>
<td valign="top" align="left">1.2&#x2013;2.22</td>
<td valign="top" align="left">0.005</td>
</tr>
<tr>
<td valign="top" align="left">RFS</td>
<td valign="top" align="left">RFS: 1.57</td>
<td valign="top" align="left">1.01&#x2013;2.42</td>
<td valign="top" align="left">0.027</td>
</tr>
<tr>
<td valign="top" align="left">TRIM44</td>
<td valign="top" align="left">129</td>
<td valign="top" align="left">Protein</td>
<td valign="top" align="left">IHC</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" align="left">OS</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">0.031</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">DMFS</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">0.027</td>
</tr>
<tr>
<td valign="top" align="left">UBR5</td>
<td valign="top" align="left">IHC: 54<break/>RNA: NA</td>
<td valign="top" align="left">Protein<break/>mRNA</td>
<td valign="top" align="left">IHC<break/>RNA-seq</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">Tumor <italic>vs</italic>. non-tumor<break/>Low <italic>vs</italic>. High</td>
<td valign="top" align="left">mRNA OS</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">0.011</td>
</tr>
<tr>
<td valign="top" align="left">UBR7</td>
<td valign="top" align="left">47</td>
<td valign="top" align="left">mRNA</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" align="left">DMFS</td>
<td valign="top" align="left">0.31</td>
<td valign="top" align="left">0.1&#x2013;0.98</td>
<td valign="top" align="left">0.036</td>
</tr>
<tr>
<td valign="top" align="left">WWP1</td>
<td valign="top" align="left">33 and 179</td>
<td valign="top" align="left">Protein</td>
<td valign="top" align="left">IHC</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">Positive <italic>vs</italic>.<break/>Negative</td>
<td valign="top" align="left">DMFS</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">&lt;0.05</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">UBE2O</td>
<td valign="top" rowspan="3" align="left">RNA: 3,951<break/>IHC: 50</td>
<td valign="top" rowspan="3" align="left">mRNA<break/>Protein</td>
<td valign="top" rowspan="3" align="left">RNA-seq<break/>IHC, WB</td>
<td valign="top" rowspan="3" align="left">Expressing difference</td>
<td valign="top" rowspan="3" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" rowspan="3" align="left">OS, DMFS</td>
<td valign="top" align="left">IHC OS: NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">P &lt; 0.05</td>
</tr>
<tr>
<td valign="top" align="left">mRNA OS: 1.63</td>
<td valign="top" align="left">1.3&#x2013;2.04</td>
<td valign="top" align="left">1.5e&#x2013;05</td>
</tr>
<tr>
<td valign="top" align="left">DMFS: 1.54</td>
<td valign="top" align="left">1.25&#x2013;1.89</td>
<td valign="top" align="left">4e&#x2013;05</td>
</tr>
<tr>
<td valign="top" align="left">Arkadia</td>
<td valign="top" align="left">2,765</td>
<td valign="top" align="left">mRNA</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" align="left">DMFS</td>
<td valign="top" align="left">0.73</td>
<td valign="top" align="left">0.62&#x2013;0.87</td>
<td valign="top" align="left">0.00046</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">MDM2</td>
<td valign="top" rowspan="3" align="left">2,765</td>
<td valign="top" rowspan="3" align="left">mRNA</td>
<td valign="top" rowspan="3" align="left">RNA-seq</td>
<td valign="top" rowspan="3" align="left">Expressing difference</td>
<td valign="top" rowspan="3" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" rowspan="3" align="left">DMFS</td>
<td valign="top" align="left">All type: 0.81</td>
<td valign="top" align="left">0.69&#x2013;0.96</td>
<td valign="top" align="left">0.015</td>
</tr>
<tr>
<td valign="top" align="left">LuminalA: 1.5</td>
<td valign="top" align="left">1.14&#x2013;1.99</td>
<td valign="top" align="left">0.0041</td>
</tr>
<tr>
<td valign="top" align="left">Basal: 0.69</td>
<td valign="top" align="left">0.5&#x2013;0.94</td>
<td valign="top" align="left">0.019</td>
</tr>
<tr>
<td valign="top" align="left">NKLAM</td>
<td valign="top" align="left">2,765</td>
<td valign="top" align="left">mRNA</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" align="left">DMFS</td>
<td valign="top" align="left">0.77</td>
<td valign="top" align="left">0.66&#x2013;0.9</td>
<td valign="top" align="left">0.00086</td>
</tr>
<tr>
<td valign="top" align="left">PPIL2</td>
<td valign="top" align="left">2,765</td>
<td valign="top" align="left">mRNA</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="left">Expressing difference</td>
<td valign="top" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" align="left">DMFS</td>
<td valign="top" align="left">0.78</td>
<td valign="top" align="left">0.65&#x2013;0.94</td>
<td valign="top" align="left">0.0085</td>
</tr>
<tr>
<td valign="top" align="left">Smurf1</td>
<td valign="top" align="left">2,765</td>
<td valign="top" align="left">mRNA</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" align="left">DMFS</td>
<td valign="top" align="left">1.34</td>
<td valign="top" align="left">1.11&#x2013;1.62</td>
<td valign="top" align="left">0.0022</td>
</tr>
<tr>
<td valign="top" align="left">Smurf2</td>
<td valign="top" align="left">2,765</td>
<td valign="top" align="left">mRNA</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">Low <italic>vs</italic>. High</td>
<td valign="top" align="left">DMFS</td>
<td valign="top" align="left">1.52</td>
<td valign="top" align="left">1.3&#x2013;1.78</td>
<td valign="top" align="left">1.9e&#x2013;07</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>IHC, immunohistochemical (IHC) staining; WB, western blot; OS, overall survival; DFS, disease-free survival; RFS, relapse-free survival; DMFS, distant metastasis-free survival; PPS, post-progression survival; BCSS, breast cancer&#x2013;specific survival; HR, hazard ratio; 95%CI, 95% confidence intervals; RR, relative risk; NA, not available in the reference literature.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>By comparing with molecular mechanism, five E3 ligases have been found to be significantly correlated with the DMFS of breast cancer patients. As illustrated in Kaplan&#x2013;Meier plots (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>), we conducted the survival analysis of Arkadia (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>), NKLAM (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>), PPIL2 (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>), Smurf1 (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>), and Smurf2 (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>), which is consistent with the laboratory mechanism previously found. Patients with high expression of Arkadia (Hazard Ratio: 0.73; Logrank P: 0.00046), NKLAM (Hazard Ratio: 0.77; Logrank P: 0.00086), and PPIL2 (Hazard Ratio: 0.78; Logrank P: 0.0085), which have an inhibitory effect on metastasis, have higher survival probability. Patients with high expression of Smurf1 (Hazard Ratio: 1.34; Logrank P: 0.0022) and Smurf2 (Hazard Ratio: 1.52; Logrank P: 1.9e-07) have lower survival probability. Combining this analysis results with summarized literature reports, E3 ubiquitin ligases which are significantly correlated with patients&#x2019; survival were presented in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>The survival curves comparing patients with high and low expressions of E3s in breast cancer patients. As a supplement to the literatures, the survival analysis of Arkadia <bold>(A)</bold>, NKLAM <bold>(B)</bold>, PPIL2 <bold>(C)</bold>, Smurf1 <bold>(D)</bold>, and Smurf2 <bold>(E)</bold>, which were illustrated as a Kaplan&#x2013;Meier plot. Distant metastasis&#x2013;free survival curves for high (red) and low (black) expression groups dichotomized at the optimal cut-point. The survival analysis of MDM2 in breast cancer was shown as all types <bold>(F)</bold>, luminal A <bold>(G)</bold> subtype, and basal subtype <bold>(H)</bold>, respectively. Logrank P-value and the hazard ratio with 95% confidence intervals was calculated. The threshold was adjusted to logrank P&#x2010;values at &lt; 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-752604-g004.tif"/>
</fig>
<p>Interestingly, we found that some results of survival analysis were contrary to the molecular mechanism. For example, if all subtypes of breast patients were considered together, a higher expression of MDM2 showed better survival (Hazard Ratio: 0.81; Logrank P: 0.015) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4F</bold>
</xref>), which was obviously contrary to known molecular mechanisms. MDM2 has been well proven to be an E3 ubiquitin ligase that simultaneously targets tumor suppressor protein RB and P53 to degradation. We further analyzed different subtypes and found that it was opposite in patients with luminal A (Hazard Ratio: 1.5; Logrank P: 0.0041) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4G</bold>
</xref>) and basal subtype (Hazard Ratio: 0.69; Logrank P: 0.019) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4H</bold>
</xref>). This suggests that the heterogeneity of breast cancer cannot be ignored. In addition, it might be affected by the expression level or mutation of ubiquitin substrates, such as the status of p53 mutation or loss of RB. The context-dependent role of E3s and breast cancer subtypes need to be considered more in future survival analyses.</p>
</sec>
</sec>
<sec id="s4">
<title>4 Discussion</title>
<p>In the past decades, dozens of studies have demonstrated that many E3 ubiquitin ligases play very important roles in breast cancer metastasis. E3 ligases were involved in the multiple steps of breast cancer metastasis, including EMT, invasion and migration, cell stemness, angiogenesis, and immunity response in the tumor microenvironment.</p>
<p>Typical E3s&#x2019; functions comprise of recognition and recruiting a specific protein to be modified and then catalyzing ubiquitin molecule discharge from an active-site cysteine onto the recruited substrate or a substrate-linked ubiquitin. Through this posttranslational modification, E3 ligases can alter the fate of their protein substrates, transducing different signals, which is critical for breast cancer metastasis. For example, the E3 ligase Cbl-b mediates the ubiquitination and degradation of EGFR, which inhibits metastatic breast cancer cells&#x2019; EMT. And another E3 ligase, MEX3C, catalyzes the tumor suppressor PTEN with K27-linked polyubiquitination and alters its enzymatic function, which leads to the accumulation of the master regulators of EMT, including twist family bHLH transcription factor 1 (TWIST1), Yes1-associated transcriptional regulator (YAP1), and SNAI1.</p>
<p>In light of the vital roles of E3 ubiquitin ligases in breast cancer metastasis, targeting them for cancer therapy has gained increasing attention. Notably, bortezomib, a proteasome inhibitor, was approved by the Food and Drug Administration (FDA) of United States to treat multiple myeloma and certain lymphomas, which encourages more and more researchers to screen the small molecular inhibitors of particular E3 ligases for anti-metastatic breast cancer. We queried with the key words of each E3 ubiquitin ligase names and their aliases in the AACT (Public Access to Aggregate Content of ClinicalTrials.gov, <uri xlink:href="https://aact.ctti-clinicaltrials.org/">https://aact.ctti-clinicaltrials.org/</uri>) database, which is a publicly available relational database that contains information (protocol and result data elements) about every study registered in ClinicalTrials.gov. However, only the inhibitor for MDM2 has been registered for breast cancer treatment in undergoing clinical trials. It offers great opportunity for future pharmacological exploitation.</p>
<p>Though it is believed that inhibiting and redirecting ubiquitination <italic>in vivo</italic> are new therapeutic strategies, especially specific inhibitors of E3 ubiquitin ligase will be discovered and developed as a novel class of anticancer drugs in the foreseeable future, we are still facing significant challenges so far. Firstly, the specific substrate of E3 ligase had been elucidated in few studies and needs to be identified, especially in the process of breast cancer metastasis. Recent advances in high-throughput screening chemical methods have revolutionized our ability to match E3 ubiquitin ligases with their cellular targets (<xref ref-type="bibr" rid="B134">134</xref>), like the UBAIT (ubiquitin-activated interaction traps strategy), which relies on a ubiquitin molecule covalently fused to the E3 ligase of interest being charged onto E2 enzymes. Using the affinity enrichment of tagged UBAITs with following mass spectrometry can identify substrates of several E3s (<xref ref-type="bibr" rid="B135">135</xref>). Both <italic>in vivo</italic> and <italic>in vitro</italic> ubiquitin assays are also suggested to be used for the validation of E3 ligase substrates. Secondly, the substrate recognition specificity of E3 ligases needs to be understand more deeply in breast cancer metastasis, which is critical for the efficient small-molecule inhibition of substrate degradation. Comparing proteins modified in cell lysates <italic>versus</italic> when an E3 ligase is depleted will allow the identification of substrates (<xref ref-type="bibr" rid="B134">134</xref>, <xref ref-type="bibr" rid="B136">136</xref>). Thirdly, structural bases and ubiquitin mechanisms facilitate with further exploit pharmacological strategy. For example, typical HECT family E3s harbor catalytic cysteines that first receive ubiquitin molecule from a bound E2~Ub intermediate and then directly deliver the ubiquitin to the substrate protein, which can pharmacologically target the catalytic cysteines of E3s (<xref ref-type="bibr" rid="B134">134</xref>). Instead, there are still several non-classical E3s whose structure and specific ubiquitin transfer mechanisms remain unknown. Finally, E3 ligases exhibit distinct or even opposite functions in different breast cancer subtypes, suggesting that a subtype-specific approach to E3 ligase substrates and inhibitor screening is required. A good example is K<sup>+</sup> channel tetramerization domain 10 (KCTD10), a BTB protein, as an adaptor protein that forms E3 ubiquitin ligase complex with Cullin3. CUL3/KCTD10 ubiquitinated RhoB for K63-linked ubiquitin degradation and promote HER2-positive breast cancer cell proliferation (<xref ref-type="bibr" rid="B137">137</xref>, <xref ref-type="bibr" rid="B138">138</xref>). Two downstream proteins of RhoB, RAC1 (Rho GTPase) and CNKSR1 (connector enhancer of kinase suppressor of Ras1), were found to be significantly correlated with the prognosis of HER2-positive breast cancer patients (<xref ref-type="bibr" rid="B138">138</xref>, <xref ref-type="bibr" rid="B139">139</xref>). Beyond small-molecule inhibitors, proteolysis-targeting chimeras (PROTACs), which can induce the recruitment of E3 to target protein, have recently emerged as significant future therapeutic opportunities (<xref ref-type="bibr" rid="B140">140</xref>, <xref ref-type="bibr" rid="B141">141</xref>).</p>
<p>In addition, breast cancer cell&#x2013;secreted exosomes have been found to play roles in the microenvironment and enhance the invasiveness of recipient cells, which contribute to breast cancer invasion through the EGFR signaling (<xref ref-type="bibr" rid="B142">142</xref>, <xref ref-type="bibr" rid="B143">143</xref>). An exosome-mediated delivery of the intrinsic PTEN-stabilizing factor PTEN-CT (Carbon Terminus) has been found to protect PTEN from E3 ligase&#x2013;mediated proteasomal degradation and then inhibit breast cancer cell proliferation and migration (<xref ref-type="bibr" rid="B144">144</xref>). It suggests that not only intracellular ubiquitination but also intercellular ubiquitination (like exosome- mediated migratory delivery) should be followed with interest in the future.</p>
<p>With &gt;700 E3 ligases in the human genome, including but not limited to the 54 E3s that have been identified to be involved in breast cancer metastasis, it has become clear that some of them are promising therapeutic targets or prognostic markers for breast cancer.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author Contributions</title>
<p>YW, JG and JL designed this study. YW contributed to the conception, acquisition, analysis, and interpretation of data and drafted the manuscript. JD and YZ contributed to the acquisition of data. Schematic diagrams were drawn by JD. JG and JL contributed to the interpretation of data and critically revised the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the National Natural Science Foundation of China (82003001, 82003227); China Postdoctoral Science Foundation (2019M663516,2021T140487); Post-Doctor Research Project, Sichuan University (20826041D4022); Post-Doctor Research Project, West China Hospital, Sichuan University (2018HXBH067); Sichuan Provincial Research Foundation for Basic Research (2020YFS0272); and Sichuan Science and Technology Program (2020YJ0046).</p>
</sec>
<sec id="s8" 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="s9" 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>
<back>
<ack>
<title>Acknowledgments</title>
<p>We sincerely appreciate all the contributors to references listed. We also thank Prof. Haiquan Lu (Advanced Medical Research Institute, Cheeloo College of Medicine, Shandong University) and Prof. Yongkang Yan (Institute for Cell Engineering, Johns Hopkins University School of Medicine) for their valuable comments and suggestions. Schematic figures were produced using Servier Medical Art (<uri xlink:href="https://smart.servier.com/">https://smart.servier.com/</uri>).</p>
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