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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.2021.742354</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Alpha-L-Fucosidase Has Diagnostic Value in Prostate Cancer With &#x201c;Gray-Zone PSA&#x201d; and Inhibits Cancer Progression <italic>via</italic> Regulating Glycosylation</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Cong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Jikai</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chao</surname>
<given-names>Fan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1399480"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Shiyu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Dawei</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Han</surname>
<given-names>Dunsheng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xu</surname>
<given-names>Zhonghua</given-names>
</name>
<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/1290172"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Guoxiong</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/853628"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chen</surname>
<given-names>Gang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1265393"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Urology, Jinshan Hospital, Fudan University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Urology, Qilu Hospital, Shandong University</institution>, <addr-line>Jinan</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Research Center for Clinical Medicine, Jinshan Hospital, Fudan University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Tanya I. Stoyanova, Stanford University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: En-Chi Hsu, Stanford University, United States; Koji Hatano, Osaka University, Japan</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Gang Chen, <email xlink:href="mailto:chgan365@126.com">chgan365@126.com</email>; Zhonghua Xu, <email xlink:href="mailto:xuzhonghua1963@163.com">xuzhonghua1963@163.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Genitourinary Oncology, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>11</volume>
<elocation-id>742354</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Zhang, Liu, Chao, Wang, Li, Han, Xu, Xu and Chen</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Zhang, Liu, Chao, Wang, Li, Han, Xu, Xu and Chen</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>
<sec>
<title>Background</title>
<p>This study aimed to explore the diagnostic value of alpha-l-fucosidase (AFU) in prostate cancer (PCa) patients with &#x201c;gray-zone PSA&#x201d; and to investigate the correlation between AFU expression and clinicopathological characteristics of PCa patients.</p>
</sec>
<sec>
<title>Methods</title>
<p>The level of AFU and other necessary clinicopathological variables of patients were retrieved from electronic medical records. The transcriptome profiling and clinical information of PCa patients were obtained from The Cancer Genome Atlas (TCGA) database. The protein level of AFU in tissue was assessed by immunohistochemistry (IHC). All the data were processed by appropriate analysis methods. The p-value of &lt;0.05 was considered statistically significant.</p>
</sec>
<sec>
<title>Results</title>
<p>AFU showed ideal diagnostic value for PCa with prostate-specific antigen (PSA) levels ranging from 4 to 10 ng/ml, and its optimal cutoffs were 19.5 U/L. Beyond this, low AFU expression was associated with high pathological grade, T stage and N stage, more postoperative residual tumors, and poor primary therapy outcome, as well as shorter progression-free interval. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis illustrated that FUCA1/FUCA2 exerted tumor-suppressive function by regulating the glycosylation.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>AFU (&lt;19.5 U/L) could effectively distinguish the PCa from the patients with &#x201c;gray-zone PSA&#x201d;, and low expression of AFU was an independent unfavorable predictor for the clinicopathological characteristics of PCa patients.</p>
</sec>
</abstract>
<kwd-group>
<kwd>prostate cancer</kwd>
<kwd>AFU</kwd>
<kwd>diagnosis</kwd>
<kwd>tumor progression</kwd>
<kwd>progression-free interval</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="36"/>
<page-count count="12"/>
<word-count count="4386"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Prostate cancer (PCa) is an epithelial malignancy with a high incidence that occurs in the male genitourinary system (<xref ref-type="bibr" rid="B1">1</xref>). In recent years, the morbidity and mortality of PCa have increased dramatically worldwide. Based on the last data, the morbidity of PCa ranks no. 1, and the mortality ranks no. 2 among male malignant tumors in 112 countries (<xref ref-type="bibr" rid="B2">2</xref>). In 2020, there were 1.4 million new PCa cases and 370,000 deaths globally (<xref ref-type="bibr" rid="B2">2</xref>). The treatment options of PCa vary based on cancer grade and stage. For example, surgery is the standard treatment for early PCa, and it can lead to a favorable prognosis. Therefore, early and accurate diagnosis is crucial for the treatment of PCa patients. Although the prostate-specific antigen (PSA) screening has made great contributions to the early diagnosis of PCa, some limitations are readily apparent. It is well established that the &#x201c;diagnostic gray zone&#x201d; existed in PSA screening due to the poor specificity (<xref ref-type="bibr" rid="B3">3</xref>). A prostate biopsy can provide an accurate diagnosis, but it is a time-consuming and expensive method that requires an experienced urologist and causes great suffering for patients. Therefore, the identification of effective and practical biomarkers for early and accurate diagnosis of PCa (especially men with a PSA of 4&#x2013;10 ng/ml) is urgent and important.</p>
<p>AFU containing two isoforms, AFU1 and AFU2, is an enzyme that is capable of clearing the terminal &#x3b1;-l-fucose residues from glycoproteins (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). AFU1 and AFU2 are encoded by <italic>FUCA1</italic> gene and <italic>FUCA2</italic> gene, respectively. Interestingly, high &#x3b1;-l-fucose expression has been reported to be correlated with many cancers, such as breast, thyroid, and colorectal cancers (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). Therefore, it is reasonable to speculate that AFU with the function of hydrolyzing &#x3b1;-l-fucose may imply tumor-suppressive function. Previous studies have confirmed that AFU is indeed lowly expressed in a variety of cancers, including colon cancer, colorectal cancer, and breast cancer (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). Other than that, low expression of AFU usually predicts a worse prognosis in cancer patients (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>However, the possible correlations between AFU and PCa have not yet been explored. Consequently, the current study is conducted to investigate the relationship between AFU expression and PCa. We hope that the current research can identify a promising early diagnostic and effective prognostic biomarker for PCa.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Patients</title>
<p>Patients&#x2019; clinicopathological information was collected and analyzed through retrospective chart reviews of electronic medical records of Qilu Hospital of Shandong University between 2013 and 2020. Following inclusion and exclusion criteria, a total of 106 PCa patients with PSA levels between 4 and 10 ng/ml met the requirements. Those patients all accepted prostate biopsy and were confirmed as PCa by biopsy pathological results. Meanwhile, 113 benign prostatic hyperplasia (BPH) patients whose PSA levels ranged from 4 to 10 ng/ml were included as a control in this retrospective study. Beyond that, in order to further investigate the relationship between AFU expression and clinicopathological features of PCa patients, 196 eligible PCa patients who were treated with radical prostatectomy at Qilu Hospital were integrated into the current study.</p>
<list list-type="simple">
<list-item>
<p>The inclusion criteria were the following:</p>
</list-item>
<list-item>
<p>1) Necessary information was available, such as important test records, clinicopathological variables, and other necessary data.</p>
</list-item>
<list-item>
<p>2) The postoperation pathological outcomes indicated benign prostatic hyperplasia or prostatic adenocarcinoma.</p>
</list-item>
<list-item>
<p>The exclusion criteria were the following:</p>
</list-item>
<list-item>
<p>1) Coexisting other malignant diseases or history of tumor or cancer</p>
</list-item>
<list-item>
<p>2) Suffering from immune system disease or hematologic disorders</p>
</list-item>
<list-item>
<p>3) Taking procoagulant or anticoagulant or other medicine interfering with lab test within the past 2 weeks</p>
</list-item>
</list>
</sec>
<sec id="s2_2">
<title>Data Collection</title>
<p>Essential demographic information, important laboratory results, and clinicopathological data were retrieved from electronic patient records. The pathological grade was evaluated using the Gleason system. It was divided into two groups: high-pathological grade group (Gleason scores &#x2265;8) and low-pathological grade group (Gleason scores &lt;8) as described by a previous study (<xref ref-type="bibr" rid="B15">15</xref>). The stage was judged by the 2002 TNM classification (<xref ref-type="bibr" rid="B16">16</xref>).</p>
</sec>
<sec id="s2_3">
<title>Alpha-l-Fucosidase Measurement</title>
<p>After 12-h fasting, 5 ml of venous blood was drawn from each patient before he received any clinical treatment in the early morning. Blood was stored in the blood-sampling tubes containing procoagulant. Subsequently, samples were centrifuged at 2,000 rpm for 10 min, and the serum was separated to determine the activity of AFU by The Roche Cobas 8000 automatic analyzer (Roche, Switzerland) according to the standard operating procedure.</p>
</sec>
<sec id="s2_4">
<title>Extraction and Analysis of The Cancer Genome Atlas Datasets</title>
<p>The transcriptome profiling and clinical information of PCa patients were obtained from The Cancer Genome Atlas (TCGA) database (<uri xlink:href="https://www.cancer.gov/tcga">https://www.cancer.gov/tcga</uri>). The expression of <italic>FUCA1</italic>/<italic>FUCA2</italic> and important clinicopathological variables of PCa patients, such as pathological grade, stage, and survival data, were extracted and analyzed.</p>
</sec>
<sec id="s2_5">
<title>Immunohistochemistry Analysis Based on The Human Protein Atlas</title>
<p>The protein expression of AFU in PCa tissue was evaluated under the support of the online website The Human Protein Atlas (<uri xlink:href="https://www.proteinatlas.org/">https://www.proteinatlas.org/</uri>).</p>
</sec>
<sec id="s2_6">
<title>Statistical Analysis</title>
<p>The expression of AFU in each group was shown as mean and SD. The correlations between AFU levels and variables were assessed by Student&#x2019;s t-test if the data followed a normal distribution, and if not, using the Mann&#x2013;Whitney test. The data were obtained from TCGA by employing chi-square test, Fisher&#x2019;s exact test, or Wilcoxon rank-sum test. Kaplan&#x2013;Meier and Cox regression methods were used to evaluate the survival data from TCGA. The hazard ratio (HR) and 95% CI were calculated by logistic regression or Cox regression model. A two-sided <italic>p</italic>-value was set in the current study, and a <italic>p</italic>-value of &lt;0.05 was regarded as statistically significant. Statistical analysis was performed by the Statistical Package for Social Sciences version 20.0 (SPSS Inc., Chicago, IL, USA), GraphPad Prism 8 software (GraphPad Software Inc., San Diego, CA, USA), and R (version 3.6.3; R Foundation, Vienna, Austria).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Baseline Clinicopathological Characteristics</title>
<p>A total of 219 patients with PSA between 4 and 10 ng/ml were enrolled in the present study. Based on the pathological results after a needle biopsy, 113 patients were diagnosed with BPH, and 106 patients were confirmed to have PCa. Surprisingly, the mean level of PSA in the BPH was higher than that in the PCa, although no statistical differences were presented (7.84 &#xb1; 2.55 vs. 7.48 &#xb1; 2.58 ng/ml, <italic>p</italic> = 0.675). It was meaningful that we found that the free/total (F/T) PSA and AFU levels in the BPH patients were higher than in the PCa patients (F/T PSA: 0.22 &#xb1; 0.24 vs. 0.18 &#xb1; 0.19, <italic>p</italic> = 0.008; AFU: 20.16 &#xb1; 6.17 U/L vs. 18.21 &#xb1; 6.66 U/L, <italic>p</italic> = 0.049) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> and <xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A, B</bold>
</xref>), but there was no line correlation between them (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1E</bold>
</xref>). Then, the receiver operating characteristic (ROC) analysis indicated that AFU had a better value for PCa diagnosis than F/T PSA especially in specificity (the area under the ROC curve (AUC): 0.630 vs. 0.612) (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1C, D</bold>
</xref>), and the AFU optimal cutoffs for PCa was 19.5 U/L. Logistic regression analysis was employed to further validate the AFU cutoffs&#x2019; diagnostic value for PCa, and the results indicated that AFU cutoffs showed ideal diagnostic performance for PCa (&#x2265;19.5 vs. &lt;19.5 U/L: HR = 0.513, <italic>p</italic> = 0.044) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1F</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Clinical characteristics of PCa and BPH patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<th valign="top" align="center">BPH</th>
<th valign="top" align="center">PCa</th>
<th valign="top" align="center">
<italic>p-</italic>Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Patients (n; %)</td>
<td valign="top" align="center">113 (51.6%)</td>
<td valign="top" align="center">106 (48.4%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">68.08 &#xb1; 8.99</td>
<td valign="top" align="center">69.97 &#xb1; 8.43</td>
<td valign="top" align="center">0.149<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">PSA (ng/ml)</td>
<td valign="top" align="center">7.84 &#xb1; 2.55</td>
<td valign="top" align="center">7.48 &#xb1; 2.58</td>
<td valign="top" align="center">0.675<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">F/T PSA</td>
<td valign="top" align="center">0.22 &#xb1; 0.24</td>
<td valign="top" align="center">0.18 &#xb1; 0.19</td>
<td valign="top" align="center">0.008<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">AFU (U/L)</td>
<td valign="top" align="center">20.16 &#xb1; 6.17</td>
<td valign="top" align="center">18.21 &#xb1; 6.66</td>
<td valign="top" align="center">0.049<sup>*</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>p &lt; 0.05 is considered as statistically significant.</p>
</fn>
<fn>
<p>PCa, prostate cancer; BPH, benign prostatic hyperplasia; PSA, prostate-specific antigen; F/T PSA, free/total prostate-specific antigen; AFU, alpha-<sc>l</sc>-fucosidase.</p>
</fn>
<fn>
<p>*p: Mann&#x2013;Whitney U-test.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>F/T PSA and AFU level in BPH and PCa. <bold>(A)</bold> F/T PSA level. <bold>(B)</bold> AFU level. <bold>(C)</bold> The diagnostic value of F/T PSA for PCa. <bold>(D)</bold> The diagnostic value of AFU for PCa. <bold>(E)</bold> The line correlation between F/T PSA and AFU. <bold>(F)</bold> Logistic analysis of AFU expression for the PCa diagnosis; *<italic>p</italic> &lt; 0.05, **<italic>p</italic> &lt; 0.01. F/T PSA, free/total prostate-specific antigen; AFU, alpha-<sc>l</sc>-fucosidase; BPH, benign prostatic hyperplasia; PCa, prostate cancer.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-742354-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Associations Between Alpha-l-Fucosidase Expression and Clinicopathological Variables of 196 Prostate Cancer Patients</title>
<p>A total of 196 PCa patients who underwent radical prostatectomy, with the PSA average of 30.30 ng/ml (ranking 0.04 to 343 ng/ml), were analyzed in the present study. The results indicated that AFU expression was inversely correlated with PSA. The PCa patients with higher PSA levels (PSA &#x2265; 4 ng/ml) indicated lower AFU expression (15.89 &#xb1; 5.01 U/L) and vice versa (<italic>p</italic> = 0.043) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> and <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Importantly, non-localized PCa (pT3 and pT4) showed lower AFU expression than localized PCa (pT1 and pT2) (<italic>p</italic> = 0.05) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> and <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Likewise, the advanced PCa with lymph node metastasis had a lower AFU level than that without lymphatic metastasis (<italic>p</italic> = 0.017) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> and <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). Although differences were not statistically significant, we found that the high pathological grade group had lower AFU levels than the low pathological grade group (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The results of the ROC analyses indicated good predictive power of AFU for PCa pathological T stage and N stage especially for N stage (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> and <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2D, E</bold>
</xref>). However, no linear relationship was observed among AFU levels and age, lactate dehydrogenase (LDH), serum sialic acid (SA), alkaline phosphatase (AKP), and PSA (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2F&#x2013;J</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Correlations between preoperative AFU levels and clinicopathological parameters of PCa patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<th valign="top" align="center">N (%)</th>
<th valign="top" align="center">AFU levels (U/L, mean &#xb1; SD)</th>
<th valign="top" align="center">
<italic>p-</italic>Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Patients<sup>a</sup>
</bold>
</td>
<td valign="top" align="center">196 (100%)</td>
<td valign="top" align="center">16.35 &#xb1; 5.20</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.144<italic>*</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">&lt;69</td>
<td valign="top" align="center">92 (46.9%)</td>
<td valign="top" align="center">16.92 &#xb1; 5.87</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;69</td>
<td valign="top" align="center">104 (53.1%)</td>
<td valign="top" align="center">15.59 &#xb1; 4.29</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>PSA (ng/</bold>ml<bold>)</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
<bold>0.043</bold>
<italic>*</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">&lt;4</td>
<td valign="top" align="center">49 (25%)</td>
<td valign="top" align="center">17.63 &#xb1; 5.41</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;4</td>
<td valign="top" align="center">116 (59.2%)</td>
<td valign="top" align="center">15.89 &#xb1; 5.01</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">Missing data</td>
<td valign="top" align="center">31 (15.8%)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>LDH<sup>a</sup>
</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.585<italic>*</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">&lt;197</td>
<td valign="top" align="center">102 (52.0%)</td>
<td valign="top" align="center">16.47 &#xb1; 5.42</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;197</td>
<td valign="top" align="center">80 (40.8%)</td>
<td valign="top" align="center">16.41 &#xb1; 4.60</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">Missing data</td>
<td valign="top" align="center">14 (7.1%)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>SA<sup>a</sup>
</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.954<italic>*</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">&lt;56</td>
<td valign="top" align="center">110 (56.1%)</td>
<td valign="top" align="center">16.38 &#xb1; 4.83</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;56</td>
<td valign="top" align="center">71 (36.2%)</td>
<td valign="top" align="center">16.62 &#xb1; 5.44</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">Missing data</td>
<td valign="top" align="center">15 (7.7%)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>AKP<sup>a</sup>
</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.364<italic>*</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">&lt;75</td>
<td valign="top" align="center">114 (58.2%)</td>
<td valign="top" align="center">16.34 &#xb1; 5.58</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;75</td>
<td valign="top" align="center">71 (36.2%)</td>
<td valign="top" align="center">16.42 &#xb1; 4.11</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">Missing data</td>
<td valign="top" align="center">11 (5.6%)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Pathological grade group</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">Low-grade group (&lt;8)</td>
<td valign="top" align="center">107 (54.6%)</td>
<td valign="top" align="center">16.45 &#xb1; 5.31</td>
<td valign="top" align="center">0.531<italic>*</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">High-grade group (&#x2265;8)</td>
<td valign="top" align="center">89 (45.4%)</td>
<td valign="top" align="center">15.93 &#xb1; 4.90</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>T stage</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
<bold>0.050</bold>
<italic>*</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">T1 and T2</td>
<td valign="top" align="center">141 (71.9%)</td>
<td valign="top" align="center">16.73 &#xb1; 5.32</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">T3 and T4</td>
<td valign="top" align="center">55 (28.1%)</td>
<td valign="top" align="center">14.89 &#xb1; 4.35</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>N stage</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
<bold>0.017</bold>
<italic>*</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">N0</td>
<td valign="top" align="center">185 (94.4%)</td>
<td valign="top" align="center">16.41 &#xb1; 5.13</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">N1</td>
<td valign="top" align="center">11 (5.6%)</td>
<td valign="top" align="center">12.91 &#xb1; 3.81</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Bone metastasis</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.105<sup>a</sup>
<italic>*</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">99 (50.5%)</td>
<td valign="top" align="center">16.74 &#xb1; 5.36</td>
<td valign="top" align="center">0.924<sup>b</sup>
<italic>*</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">14 (7.1%)</td>
<td valign="top" align="center">14.21 &#xb1; 4.14</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">Suspicion</td>
<td valign="top" align="center">23 (11.7%)</td>
<td valign="top" align="center">16.30 &#xb1; 4.70</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">Missing data</td>
<td valign="top" align="center">60 (30.6%)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Pathological grade falls into high grade and low grade using the GS. Pathological stage is assessed by postoperative pathology results (not biopsy) in accordance with 2002 TNM classification; p &lt; 0.05 is considered as statistically significant.</p>
</fn>
<fn>
<p>PCa, prostate cancer; BPH, benign prostate hyperplasia; AFU, alpha-<sc>l</sc>-fucosidase; PSA, prostate-specific antigen; LDH, lactate dehydrogenase; SA, serum sialic acid; AKP, alkaline phosphatase; GS, Gleason system.</p>
</fn>
<fn>
<p>
<sup>a</sup>Continuous variables are expressed as median.</p>
</fn>
<fn>
<p>
<sup>a</sup>p: no bone metastases versus bone metastases.</p>
</fn>
<fn>
<p>
<sup>b</sup>p: no bone metastases versus suspicion.</p>
</fn>
<fn>
<p>*p: Mann&#x2013;Whitney U-test.</p>
</fn>
<fn>
<p>Bold values was used for emphasis, means p &#x2264; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>AFU expression in PCa subgroups. <bold>(A)</bold> PSA. <bold>(B)</bold> T stage. <bold>(C)</bold> N stage. <bold>(D)</bold> The diagnostic value of AFU for advanced T stage. <bold>(E)</bold> The diagnostic value of AFU for lymph node metastasis. Line correlations among AFU and PCa patient&#x2019;s variables: <bold>(F)</bold> age; <bold>(G)</bold> LDH; <bold>(H)</bold> SA; <bold>(I)</bold> AKP; and <bold>(J)</bold> PSA. *<italic>p</italic> &lt; 0.05. AFU, alpha-<sc>l</sc>-fucosidase; PCa, prostate cancer; PSA, prostate-specific antigen; LDH, lactate dehydrogenase; SA, serum sialic acid; AKP, alkaline phosphatase.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-742354-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>
<italic>FUCA1</italic> and <italic>FUCA2</italic> Expression in Prostate Cancer Based on The Cancer Genome Atlas Database</title>
<p>The expression of <italic>FUCA1</italic>/<italic>FUCA2</italic> and clinicopathological data of 499 PCa patients were extracted from TCGA database and presented in <xref ref-type="table" rid="T3">
<bold>Tables&#xa0;3</bold>
</xref>, <xref ref-type="table" rid="T4">
<bold>4</bold>
</xref>, respectively. <italic>FUCA1</italic> expression was lower in the older group (<italic>p</italic> = 0.0006) compared with the younger group (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> and <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>), but <italic>FUCA2</italic> expression had no notable difference between the two groups (<italic>p</italic> = 0.896) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Notably, lower <italic>FUCA1</italic>/<italic>FUCA2</italic> expression predicted both higher pathological grade group and stage, more residual tumors, and worse therapeutic effect (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4A</bold>
</xref>). In parallel, the ROC analysis confirmed that low <italic>FUCA1</italic> and <italic>FUCA2</italic> indeed promoted PCa progression, metastasis, and drug resistance (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3B</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4B</bold>
</xref>). All the above results were further validated by logistic regression analysis (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3C</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4C</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Correlations between FUCA1 expression and clinicopathological parameters of PCa patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristic</th>
<th valign="top" align="center">Low expression of FUCA1 n (%)</th>
<th valign="top" align="center">High expression of FUCA1 n (%)</th>
<th valign="top" align="center">
<italic>p-</italic>Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Patients</bold>
</td>
<td valign="top" align="center">249 (40.9%)</td>
<td valign="top" align="center">250 (50.1%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.006<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2264;60</td>
<td valign="top" align="center">96 (19.2%)</td>
<td valign="top" align="center">128 (25.7%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">&gt;60</td>
<td valign="top" align="center">153 (30.7%)</td>
<td valign="top" align="center">122 (24.4%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>PSA (ng/ml)</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.092<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&lt;4</td>
<td valign="top" align="center">199 (45%)</td>
<td valign="top" align="center">216 (48.9%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;4</td>
<td valign="top" align="center">18 (4.1%)</td>
<td valign="top" align="center">9 (2%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Pathological grade group</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">&lt;0.001<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Low-grade group<break/>(Gleason score &lt; 8)</td>
<td valign="top" align="center">110 (22%)</td>
<td valign="top" align="center">183 (36.7%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">High-grade group<break/>(Gleason score &#x2265; 8)</td>
<td valign="top" align="center">139 (31%)</td>
<td valign="top" align="center">67 (13.4%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>T stage</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">&lt;0.001<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">T2</td>
<td valign="top" align="center">68 (13.8%)</td>
<td valign="top" align="center">121 (24.6%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">T3 and T4</td>
<td valign="top" align="center">178 (36.2%)</td>
<td valign="top" align="center">125 (25.4%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>N stage</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.004<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">N0</td>
<td valign="top" align="center">168 (39.4%)</td>
<td valign="top" align="center">179 (42%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">N1</td>
<td valign="top" align="center">53 (12.4%)</td>
<td valign="top" align="center">26 (6.1%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>M stage</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.621<sup>**</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">M0</td>
<td valign="top" align="center">225 (49.1%)</td>
<td valign="top" align="center">230 (50.2%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">M1</td>
<td valign="top" align="center">2 (0.4%)</td>
<td valign="top" align="center">1 (0.2%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Primary therapy outcome</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">&lt;0.001<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">PR and CR</td>
<td valign="top" align="center">171 (39.1%)</td>
<td valign="top" align="center">210 (48%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">PD and SD</td>
<td valign="top" align="center">43 (9.9%)</td>
<td valign="top" align="center">14 (3.2%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Residual tumor</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">&lt;0.001<sup>**</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">R0</td>
<td valign="top" align="center">140 (29.9%)</td>
<td valign="top" align="center">175 (37.4%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">R1 and R2</td>
<td valign="top" align="center">92 (19.6%)</td>
<td valign="top" align="center">61 (13.1%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>OS event, n (%)</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.063<sup>**</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Alive</td>
<td valign="top" align="center">241 (48.3%)</td>
<td valign="top" align="center">248 (49.7%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">Dead</td>
<td valign="top" align="center">8 (1.6%)</td>
<td valign="top" align="center">2 (0.4%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>DSS event, n (%)</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.684<sup>**</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Alive</td>
<td valign="top" align="center">244 (49.1%)</td>
<td valign="top" align="center">248 (49.9%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">Dead</td>
<td valign="top" align="center">3 (0.6%)</td>
<td valign="top" align="center">2 (0.4%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>PFI event, n (%)</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">&lt;0.001<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Alive</td>
<td valign="top" align="center">184 (36.9%)</td>
<td valign="top" align="center">221 (44.3%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">Dead</td>
<td valign="top" align="center">65 (13%)</td>
<td valign="top" align="center">29 (5.8%)</td>
<td valign="top" align="center">
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>p &lt; 0.05 is considered as statistically significant.</p>
</fn>
<fn>
<p>PCa, prostate cancer; BPH, benign prostate hyperplasia; OS, overall survival; DSS, disease-specific survival; PFI, progression-free interval; PR, partial response; CR, complete response; PD, progressive disease; SD, stable disease.</p>
</fn>
<fn>
<p>
<sup>*</sup>p: chi-square test.</p>
</fn>
<fn>
<p>
<sup>**</sup>p: Fisher&#x2019;s test.</p>
</fn>
<fn>
<p>
<sup>***</sup>p: Wilcoxon rank-sum test.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Correlations between FUCA2 expression and clinicopathological parameters of PCa patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristic</th>
<th valign="top" align="center">Low expression of FUCA2 n (%)</th>
<th valign="top" align="center">High expression of FUCA2 n (%)</th>
<th valign="top" align="center">
<italic>p</italic>-Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Patients</bold>
</td>
<td valign="top" align="center">249 (40.9%)</td>
<td valign="top" align="center">250 (50.1%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.896<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2264;60</td>
<td valign="top" align="center">113 (22.6%)</td>
<td valign="top" align="center">111 (22.2%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">&gt;60</td>
<td valign="top" align="center">136 (27.3%)</td>
<td valign="top" align="center">139 (27.9%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>PSA (ng/ml)</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.112<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&lt;4</td>
<td valign="top" align="center">203 (45.9%)</td>
<td valign="top" align="center">212 (48%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;4</td>
<td valign="top" align="center">18 (4.1%)</td>
<td valign="top" align="center">9 (2%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Pathological grade group</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.001<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Low-grade group<break/>(Gleason score &lt; 8)</td>
<td valign="top" align="center">126 (25.28%)</td>
<td valign="top" align="center">167 (33.5%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">High-grade group<break/>(Gleason score &#x2265; 8)</td>
<td valign="top" align="center">123 (24.6%)</td>
<td valign="top" align="center">83 (16.6%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>T stage</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.005<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">T2</td>
<td valign="top" align="center">79 (16.1%)</td>
<td valign="top" align="center">110 (22.4%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">T3 and T4</td>
<td valign="top" align="center">166 (33.7%)</td>
<td valign="top" align="center">137 (27.8%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>N stage</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.007<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">N0</td>
<td valign="top" align="center">167 (39.2%)</td>
<td valign="top" align="center">180 (42.3%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">N1</td>
<td valign="top" align="center">52 (12.2%)</td>
<td valign="top" align="center">27 (6.3%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>M stage</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.618<sup>**</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">M0</td>
<td valign="top" align="center">232 (50.7%)</td>
<td valign="top" align="center">223 (48.7%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">M1</td>
<td valign="top" align="center">1 (0.2%)</td>
<td valign="top" align="center">2 (0.4%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Primary therapy outcome</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.008<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">PR and CR</td>
<td valign="top" align="center">182 (41.6%)</td>
<td valign="top" align="center">199 (45.5%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">PD and SD</td>
<td valign="top" align="center">38 (8.6%)</td>
<td valign="top" align="center">19 (4.4%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Residual tumor</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.023<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">R0</td>
<td valign="top" align="center">145 (31%)</td>
<td valign="top" align="center">170 (36.3%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">R1 and R2</td>
<td valign="top" align="center">88 (18.8%)</td>
<td valign="top" align="center">65 (13.9%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>OS event</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.751<sup>**</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Alive</td>
<td valign="top" align="center">245 (49.1%)</td>
<td valign="top" align="center">244 (48.9%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">Dead</td>
<td valign="top" align="center">4 (0.8%)</td>
<td valign="top" align="center">6 (1.2%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>DSS event</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.373<sup>**</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Alive</td>
<td valign="top" align="center">246 (49.5%)</td>
<td valign="top" align="center">246 (49.5%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">Dead</td>
<td valign="top" align="center">1 (0.2%)</td>
<td valign="top" align="center">4 (0.8%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>PFI event</bold>
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">
</td>
<td valign="top" align="center">0.049<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Alive</td>
<td valign="top" align="center">193 (38.7%)</td>
<td valign="top" align="center">212 (42.5%)</td>
<td valign="top" align="center">
</td>
</tr>
<tr>
<td valign="top" align="left">Dead</td>
<td valign="top" align="center">56 (11.2%)</td>
<td valign="top" align="center">38 (7.6%)</td>
<td valign="top" align="center">
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>p &lt; 0.05 is considered as statistically significant.</p>
</fn>
<fn>
<p>PCa, prostate cancer; BPH, benign prostate hyperplasia; OS, overall survival; DSS, disease-specific survival; PFI, progression-free interval; PSA, prostate-specific antigen; PR, partial response; CR, complete response; PD, progressive disease; SD, stable disease.</p>
</fn>
<fn>
<p>
<sup>*</sup>p: chi-square test.</p>
</fn>
<fn>
<p>
<sup>**</sup>p: Fisher&#x2019;s test.</p>
</fn>
<fn>
<p>
<sup>***</sup>p: Wilcoxon rank-sum test.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The expression of <italic>FUCA1</italic> in PCa subgroups. <bold>(A)</bold> <italic>FUCA1</italic> mRNA expression in different PCa subgroups. <bold>(B)</bold> The diagnostic value of <italic>FUCA1</italic> for different PCa clinicopathological parameters. <bold>(C)</bold> Logical regression analysis of clinicopathological variables&#x2019; effects on low <italic>FUCA1</italic> expression. IHC analysis of <italic>FUCA1</italic> in low- <bold>(D)</bold> and high-grade <bold>(E)</bold> PCa tissue. CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease. *<italic>p</italic> &lt; 0.05, **<italic>p</italic> &lt; 0.01, ***<italic>p</italic> &lt; 0.01. PCa, prostate cancer; IHC, immunohistochemistry.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-742354-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>The expression of <italic>FUCA2</italic> in PCa subgroups. <bold>(A)</bold> <italic>FUCA2</italic> mRNA expression in different PCa subgroups. <bold>(B)</bold> The diagnostic value of <italic>FUCA2</italic> for different PCa clinicopathological parameters. <bold>(C)</bold> Logical regression analysis of clinicopathological variables&#x2019; effects on low <italic>FUCA2</italic> expression. IHC analysis of <italic>FUCA2</italic> in low- <bold>(D)</bold> and high-grade <bold>(E)</bold> PCa tissue. CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease. **<italic>p</italic> &lt; 0.01, ***<italic>p</italic> &lt; 0.01. PCa, prostate cancer; IHC, immunohistochemistry.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-742354-g004.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Immunohistochemistry Staining of Alpha-l-Fucosidase</title>
<p>AFU protein levels in PCa tissue were further measured by immunohistochemistry (IHC) staining based on the online website, The Human Protein Atlas (<uri xlink:href="https://www.proteinatlas.org/">https://www.proteinatlas.org/</uri>). As may be immediately apparent, the expression of AFU1 and AFU2 were much lower in high-grade PCa tissue compared with low-grade tissue (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3D, E</bold>
</xref> and <xref ref-type="fig" rid="f4">
<bold>4D, E</bold>
</xref>).</p>
</sec>
<sec id="s3_5">
<title>Low Expression of <italic>FUCA1</italic>/<italic>FUCA2</italic> Predicted Worse Prognosis of Prostate Cancer Patients</title>
<p>Log-rank analysis indicated that the lower level of <italic>FUCA1</italic>/<italic>FUCA2</italic> indicated shorter progression-free interval (PFI) of PCa patients (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A, B</bold>
</xref>). Cox regression model illustrated that low <italic>FUCA1</italic> expression was a reliable indicator for PCa patients&#x2019; poor prognosis (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5C, E</bold>
</xref>), but the prognostic performance of <italic>FUCA2</italic> was susceptible to other factors (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5D, F</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Survival analysis of PCa patients with different <italic>FUCA1</italic>/<italic>FUCA2</italic> expression based on TCGA databases. The Kaplan&#x2013;Meier curve analysis based on <italic>FUCA1</italic> <bold>(A)</bold> and <italic>FUCA2</italic> <bold>(B)</bold> expression effect for PFI. Univariate Cox regression analysis of <italic>FUCA1</italic> <bold>(C)</bold> and <italic>FUCA2</italic> <bold>(D)</bold> expression effect for PFI. Multivariate Cox regression analysis of <italic>FUCA1</italic> <bold>(E)</bold> and <italic>FUCA2</italic> <bold>(F)</bold> expression effect for PFI. PCa, prostate cancer; TCGA, The Cancer Genome Atlas; PFI, progress-free interval.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-742354-g005.tif"/>
</fig>
</sec>
<sec id="s3_6">
<title>Kyoto Encyclopedia of Genes and Genomes Analysis Indicated <italic>FUCA1</italic>/<italic>FUCA2</italic> Exerted Biological Function Through Regulating Glycosylation</title>
<p>In order to probe the underlying mechanism through which <italic>FUCA1</italic>/<italic>FUCA2</italic> exerted its functional role, the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis was applied. The analysis results indicated that <italic>FUCA1</italic> and <italic>FUCA2</italic> both played an essential role in the regulation of glycosylation, especially in the protein glycosylation (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A, B</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>The KEGG analysis of <italic>FUCA1</italic> <bold>(A)</bold> and <italic>FUCA2</italic> <bold>(B)</bold>. KEGG, The Kyoto Encyclopedia of Genes and Genomes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-742354-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>The present study indicates, for the first time, that AFU can effectively distinguish PCa from patients with PSA levels ranging from 4 to 10 ng/ml. We find that compared with the BPH patients, the PCa patients have lower serum AFU expression and smaller values of F/T PSA, both with gray-zone PSA level. We are aware that PSA is secreted by prostate epithelial cells, and its level will be elevated in PCa and BPH (<xref ref-type="bibr" rid="B17">17</xref>). Therefore, it is difficult to distinguish early PCa from BPH solely dependent on the PSA expression. In line with a previous study (<xref ref-type="bibr" rid="B18">18</xref>), our results indicated that no meaningful difference in PSA levels was observed between BPH and PCa patients with &#x201c;gray-zone PSA&#x201d;. To validate and further test the diagnostic reliability of F/T PSA and AFU, the logistic regression analysis was applied. However, the results illustrated that only AFU but not F/T PSA still exhibited a robust and independent diagnostic value for PCa. Likewise, the ROC analysis indicated that the diagnostic efficiency of F/T PSA was inferior compared with that of AFU. These data indicated that the diagnostic value of F/T PSA was more vulnerable to be interfered with other factors such as age and PSA level; for this reason, F/T PSA was not a reliable indicator for PCa patients with gray-zone PSA level. After confirmation of the diagnostic value of AFU for PCa, the possible correlations between AFU expression and PCa patients&#x2019; clinicopathological varies, which were further explored. Consistent with the above conclusion, lower expression of AFU implied a worse outcome. Compared with those of the early-stage group (pT1 and pT2 stages), the levels of AFU were markedly decreased in the advanced stage group (pT3 and pT4 stages). Furthermore, the patients with lymph node metastases had lower expression of AFU than those without lymph node metastases. The expression of AFU in prostate tissue was assessed using IHC. Similarly, it indicated the AFU expression was lower in high-grade PCa in contrast to low-grade PCa.</p>
<p>All the above analyses were conducted for AFU protein; next, the mRNA level of AFU was further evaluated based on TCGA database. Previous studies report AFU containing two subtypes, AFU1 and AFU2, which are encoded by genes <italic>FUCA1</italic> and <italic>FUCA2</italic>, respectively (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). Therefore, the relationships between <italic>FUCA1</italic>/<italic>FUCA2</italic> expression and PCa patients&#x2019; clinicopathological characteristics were further assessed based on TCGA database. It has long been known that the incidence of malignant disease in human is rapidly increased with aging, while our result suggested that the <italic>FUCA1</italic> level was decreased with the increase of age. Beyond that, we found significant correlations among <italic>FUCA1</italic>/<italic>FUCA2</italic> expression and pathological grade, pathological stage, postoperative residual tumor numbers, and primary therapeutic effect. Although <italic>FUCA1</italic> and <italic>FUCA2</italic> both showed prognostic value for patients&#x2019; PFI, the diagnostic performance of <italic>FUCA1</italic> is more accurate and stable than that of <italic>FUCA2</italic>. All of these results imply that <italic>FUCA1</italic>/<italic>FUCA2</italic> may be acting in a tumor-suppressive role, and lower expression of <italic>FUCA1</italic>/<italic>FUCA2</italic> prognosticates worse pathological results, less therapeutic effect, and shorter PFI. This finding is consistent with many previous studies, which further validate the reliability of our conclusion (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>The KEGG analysis indicated the biological function of <italic>FUCA1</italic> and <italic>FUCA2</italic> mainly involved glycosylation, especially glycoprotein. Glycosylation plays an important role in the initiation and progression of human disease including infection, inflammation, metabolism, and, of course, tumors (<xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>). Some well-known tumor markers such as haptoglobin and CA 19-9 are fucosylated glycoproteins (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). Apart from this, several key signal proteins, like integrin, E-cadherin, TGF-&#x3b2; receptors, and epidermal growth factor receptor (EGFR), are glycoproteins as well, which indicates that modification of glycosylation has a complex and crucial effect on their functions (<xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>). Remarkably, many studies have revealed that abnormal glycosylation can lead to tumor onset and progression (<xref ref-type="bibr" rid="B33">33</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>). AFU encoded by <italic>FUCA1</italic> or <italic>FUCA2</italic> can remove the terminal fucose residues from glycans and prevents aberrant accumulation of fucose-containing glycans (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Thus, the lack of AFU, which is responsible for the degradation of glycans, causes the overexpression of glycans and may prompt tumor initiation and development.</p>
<p>In this study, we first showed that AFU could be an effective diagnostic marker for PCa patients who had &#x201c;gray-zone PSA&#x201d;. In addition, our study demonstrated that low expression of AFU portends a worse prognosis of PCa. However, some limitations that existed in the present study deserve special attention. First, our study is retrospective research, which only allows for speculation based on the available data. Second, in consideration of the longer survival time of PCa patients, the differences in survival among different subgroups are difficult to be analyzed. Third, by bioinformatics analysis, we speculated that AFU suppressed the progression of PCa <italic>via</italic> regulation&#xa0;of&#xa0;glycosylation metabolism, which awaited further experimental validation.</p>
</sec>
<sec id="s5">
<title>Conclusion</title>
<p>AFU can effectively distinguish PCa from patients with gray-zone PSA levels; and lower AFU expression predicates advanced pathological results, poor therapeutic effect, more postoperative residual tumor numbers, and worse prognosis of PCa patients.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Research Ethics Committee of Qilu Hospital of Shandong University. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author Contributions</title>
<p>Study design: GC and ZX. Data collection: CZ, JL, DL, and ZX. Writing: CZ, GX, and GC. Editing: CZ, FC, SW, and DH. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by grants from the National Science Foundation of Shanghai (No. 18ZR1405800) and the Project for Key Medical Specialty Construction in Jinshan District (6th Period, Type A) (No. JSZK2019A03) to GC.</p>
</sec>
<sec id="s10" 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="s11" 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>I am thankful to my fiancee for her help and tolerance and I hope this work can act as a witness for our wedding.</p>
</ack>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2021.742354/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2021.742354/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table_2.xlsx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
<sec id="s13">
<title>Abbreviations</title>
<p>PCa, prostate cancer; BPH, benign prostatic hyperplasia; AFU, alpha-l-fucosidase; PSA, prostate-specific antigen; SA, serum sialic acid; LDH, lactate dehydrogenase; AKP, alkaline phosphatase; HR, hazard ratios; PFI, progression-free interval.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Deng</surname> <given-names>ZH</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>GS</given-names>
</name>
<name>
<surname>Deng</surname> <given-names>KL</given-names>
</name>
<name>
<surname>Feng</surname> <given-names>ZH</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Pan</surname> <given-names>B</given-names>
</name>
<etal/>
</person-group>. <article-title>Hsa_circ_0088233 Alleviates Proliferation, Migration, and Invasion of Prostate Cancer by Targeting hsa-miR-185-3p</article-title>. <source>Front Cell Dev Biol</source> (<year>2020</year>) <volume>8</volume>:<elocation-id>528155</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fcell.2020.528155</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sung</surname> <given-names>H</given-names>
</name>
<name>
<surname>Ferlay</surname> <given-names>J</given-names>
</name>
<name>
<surname>Siegel</surname> <given-names>RL</given-names>
</name>
<name>
<surname>Laversanne</surname> <given-names>M</given-names>
</name>
<name>
<surname>Soerjomataram</surname> <given-names>I</given-names>
</name>
<name>
<surname>Jemal</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries</article-title>. <source>CA Cancer J Clin</source> (<year>2021</year>) <volume>71</volume>(<issue>3</issue>):<page-range>209&#x2013;49</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3322/caac.21660</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Flores-Fraile</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Padilla-Fernandez</surname> <given-names>BY</given-names>
</name>
<name>
<surname>Valverde-Martinez</surname> <given-names>S</given-names>
</name>
<name>
<surname>Marquez-Sanchez</surname> <given-names>M</given-names>
</name>
<name>
<surname>Garcia-Cenador</surname> <given-names>MB</given-names>
</name>
<name>
<surname>Lorenzo-Gomez</surname> <given-names>MF</given-names>
</name>
<etal/>
</person-group>. <article-title>The Association Between Prostate-Specific Antigen Velocity (PSAV), Value and Acceleration, and of the Free PSA/Total PSA Index or Ratio, With Prostate Conditions</article-title>. <source>J Clin Med</source> (<year>2020</year>) <volume>9</volume>(<issue>11</issue>):<fpage>3400</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/jcm9113400</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ishida</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kayamori</surname> <given-names>K</given-names>
</name>
<name>
<surname>Sakamoto</surname> <given-names>K</given-names>
</name>
<name>
<surname>Yukimori</surname> <given-names>A</given-names>
</name>
<name>
<surname>Kugimoto</surname> <given-names>T</given-names>
</name>
<name>
<surname>Harada</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Alpha-L-Fucosidase-1 Is a Diagnostic Marker That Distinguishes Mucoepidermoid Carcinoma From Squamous Cell Carcinoma</article-title>. <source>Pathol Int</source> (<year>2019</year>) <volume>69</volume>(<issue>2</issue>):<fpage>76</fpage>&#x2013;<lpage>85</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/pin.12764</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>M</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Cong</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>Serum Alpha-L-Fucosidase Activities are Significantly Increased in Patients With Preeclampsia</article-title>. <source>Prog Mol Biol Transl Sci</source> (<year>2019</year>) <volume>162</volume>:<page-range>349&#x2013;62</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/bs.pmbts.2018.12.008</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Herrera</surname> <given-names>H</given-names>
</name>
<name>
<surname>Dilday</surname> <given-names>T</given-names>
</name>
<name>
<surname>Uber</surname> <given-names>A</given-names>
</name>
<name>
<surname>Scott</surname> <given-names>D</given-names>
</name>
<name>
<surname>Zambrano</surname> <given-names>JN</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Core-Fucosylated Tetra-Antennary N-Glycan Containing A Single N-Acetyllactosamine Branch Is Associated With Poor Survival Outcome in Breast Cancer</article-title>. <source>Int J Mol Sci</source> (<year>2019</year>) <volume>20</volume>(<issue>10</issue>):<fpage>2528</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijms20102528</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Listinsky</surname> <given-names>JJ</given-names>
</name>
<name>
<surname>Listinsky</surname> <given-names>CM</given-names>
</name>
<name>
<surname>Alapati</surname> <given-names>V</given-names>
</name>
<name>
<surname>Siegal</surname> <given-names>GP</given-names>
</name>
</person-group>. <article-title>Cell Surface Fucose Ablation as a Therapeutic Strategy for Malignant Neoplasms</article-title>. <source>Adv Anat Pathol</source> (<year>2001</year>) <volume>8</volume>(<issue>6</issue>):<page-range>330&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/00125480-200111000-00003</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Li</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>[Significance of Fucose Expression in Lung Carcinoma and Their Brain Metastases]</article-title>. <source>Zhonghua Bing Li Xue Za Zhi</source> (<year>2000</year>) <volume>29</volume>(<issue>4</issue>):<page-range>259&#x2013;62</page-range>.</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Listinsky</surname> <given-names>JJ</given-names>
</name>
<name>
<surname>Siegal</surname> <given-names>GP</given-names>
</name>
<name>
<surname>Listinsky</surname> <given-names>CM</given-names>
</name>
</person-group>. <article-title>The Emerging Importance of Alpha-L-Fucose in Human Breast Cancer: A Review</article-title>. <source>Am J Transl Res</source> (<year>2011</year>) <volume>3</volume>(<issue>4</issue>):<fpage>292</fpage>&#x2013;<lpage>322</lpage>.</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fernandez-Rodriguez</surname> <given-names>J</given-names>
</name>
<name>
<surname>Paez de la Cadena</surname> <given-names>M</given-names>
</name>
<name>
<surname>Martinez-Zorzano</surname> <given-names>VS</given-names>
</name>
<name>
<surname>Rodriguez-Berrocal</surname> <given-names>FJ</given-names>
</name>
</person-group>. <article-title>Fucose Levels in Sera and in Tumours of Colorectal Adenocarcinoma Patients</article-title>. <source>Cancer Lett</source> (<year>1997</year>) <volume>121</volume>(<issue>2</issue>):<page-range>147&#x2013;53</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/s0304-3835(97)00343-1</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ayude</surname> <given-names>D</given-names>
</name>
<name>
<surname>Fernandez-Rodriguez</surname> <given-names>J</given-names>
</name>
<name>
<surname>Rodriguez-Berrocal</surname> <given-names>FJ</given-names>
</name>
<name>
<surname>Martinez-Zorzano</surname> <given-names>VS</given-names>
</name>
<name>
<surname>de Carlos</surname> <given-names>A</given-names>
</name>
<name>
<surname>Gil</surname> <given-names>E</given-names>
</name>
<etal/>
</person-group>. <article-title>Value of the Serum Alpha-L-Fucosidase Activity in the Diagnosis of Colorectal Cancer</article-title>. <source>Oncology</source> (<year>2000</year>) <volume>59</volume>(<issue>4</issue>):<page-range>310&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1159/000012188</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Otero-Estevez</surname> <given-names>O</given-names>
</name>
<name>
<surname>Martinez-Fernandez</surname> <given-names>M</given-names>
</name>
<name>
<surname>Vazquez-Iglesias</surname> <given-names>L</given-names>
</name>
<name>
<surname>Paez de la Cadena</surname> <given-names>M</given-names>
</name>
<name>
<surname>Rodriguez-Berrocal</surname> <given-names>FJ</given-names>
</name>
<name>
<surname>Martinez-Zorzano</surname> <given-names>VS</given-names>
</name>
</person-group>. <article-title>Decreased Expression of Alpha-L-Fucosidase Gene FUCA1 in Human Colorectal Tumors</article-title>. <source>Int J Mol Sci</source> (<year>2013</year>) <volume>14</volume>(<issue>8</issue>):<page-range>16986&#x2013;98</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijms140816986</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ezawa</surname> <given-names>I</given-names>
</name>
<name>
<surname>Sawai</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Kawase</surname> <given-names>T</given-names>
</name>
<name>
<surname>Okabe</surname> <given-names>A</given-names>
</name>
<name>
<surname>Tsutsumi</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ichikawa</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Novel P53 Target Gene FUCA1 Encodes a Fucosidase and Regulates Growth and Survival of Cancer Cells</article-title>. <source>Cancer Sci</source> (<year>2016</year>) <volume>107</volume>(<issue>6</issue>):<page-range>734&#x2013;45</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/cas.12933</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shuang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Mao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>G</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Alpha-L-Fucosidase Serves as a Prognostic Indicator for Intrahepatic Cholangiocarcinoma and Inhibits Its Invasion Capacity</article-title>. <source>BioMed Res Int</source> (<year>2018</year>) <volume>2018</volume>:<fpage>8182575</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1155/2018/8182575</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mazzone</surname> <given-names>E</given-names>
</name>
<name>
<surname>Dell'Oglio</surname> <given-names>P</given-names>
</name>
<name>
<surname>Rosiello</surname> <given-names>G</given-names>
</name>
<name>
<surname>Puliatti</surname> <given-names>S</given-names>
</name>
<name>
<surname>Brook</surname> <given-names>N</given-names>
</name>
<name>
<surname>Turri</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Technical Refinements in Superextended Robot-Assisted Radical Prostatectomy for Locally Advanced Prostate Cancer Patients at Multiparametric Magnetic Resonance Imaging</article-title>. <source>Eur Urol</source> (<year>2021</year>) <volume>80</volume>(<issue>1</issue>):<page-range>104&#x2013;12</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.eururo.2020.09.009</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wittekind</surname> <given-names>C</given-names>
</name>
<name>
<surname>Compton</surname> <given-names>CC</given-names>
</name>
<name>
<surname>Greene</surname> <given-names>FL</given-names>
</name>
<name>
<surname>Sobin</surname> <given-names>LH</given-names>
</name>
</person-group>. <article-title>TNM Residual Tumor Classification Revisited</article-title>. <source>Cancer</source> (<year>2002</year>) <volume>94</volume>(<issue>9</issue>):<page-range>2511&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/cncr.10492</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Inahara</surname> <given-names>M</given-names>
</name>
<name>
<surname>Suzuki</surname> <given-names>H</given-names>
</name>
<name>
<surname>Kojima</surname> <given-names>S</given-names>
</name>
<name>
<surname>Komiya</surname> <given-names>A</given-names>
</name>
<name>
<surname>Fukasawa</surname> <given-names>S</given-names>
</name>
<name>
<surname>Imamoto</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Improved Prostate Cancer Detection Using Systematic 14-Core Biopsy for Large Prostate Glands With Normal Digital Rectal Examination Findings</article-title>. <source>Urology</source> (<year>2006</year>) <volume>68</volume>(<issue>4</issue>):<page-range>815&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.urology.2006.05.010</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>ZQ</given-names>
</name>
<name>
<surname>Li</surname> <given-names>M</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>MY</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>YF</given-names>
</name>
<name>
<surname>Zhan</surname> <given-names>WW</given-names>
</name>
</person-group>. <article-title>Establishment of Two New Predictive Models for Prostate Cancer to Determine Whether to Require Prostate Biopsy When the PSA Level Is in the Diagnostic Gray Zone (4-10 Ng Ml(-1))</article-title>. <source>Asian J Androl</source> (<year>2020</year>) <volume>22</volume>(<issue>2</issue>):<page-range>213&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.4103/aja.aja_46_19</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Darby</surname> <given-names>JK</given-names>
</name>
<name>
<surname>Willems</surname> <given-names>PJ</given-names>
</name>
<name>
<surname>Nakashima</surname> <given-names>P</given-names>
</name>
<name>
<surname>Johnsen</surname> <given-names>J</given-names>
</name>
<name>
<surname>Ferrell</surname> <given-names>RE</given-names>
</name>
<name>
<surname>Wijsman</surname> <given-names>EM</given-names>
</name>
<etal/>
</person-group>. <article-title>Restriction Analysis of the Structural Alpha-L-Fucosidase Gene and Its Linkage to Fucosidosis</article-title>. <source>Am J Hum Genet</source> (<year>1988</year>) <volume>43</volume>(<issue>5</issue>):<page-range>749&#x2013;55</page-range>.</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Eiberg</surname> <given-names>H</given-names>
</name>
<name>
<surname>Mohr</surname> <given-names>J</given-names>
</name>
<name>
<surname>Nielsen</surname> <given-names>LS</given-names>
</name>
</person-group>. <article-title>Linkage of Plasma Alpha-L-Fucosidase (FUCA2) and the Plasminogen (PLG) System</article-title>. <source>Clin Genet</source> (<year>1984</year>) <volume>26</volume>(<issue>1</issue>):<page-range>23&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/j.1399-0004.1984.tb00782.x</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Milde-Langosch</surname> <given-names>K</given-names>
</name>
<name>
<surname>Karn</surname> <given-names>T</given-names>
</name>
<name>
<surname>Schmidt</surname> <given-names>M</given-names>
</name>
<name>
<surname>zu Eulenburg</surname> <given-names>X</given-names>
</name>
<name>
<surname>Oliveira-Ferrer</surname> <given-names>L</given-names>
</name>
<name>
<surname>Wirtz</surname> <given-names>RM</given-names>
</name>
<etal/>
</person-group>. <article-title>Prognostic Relevance of Glycosylation-Associated Genes in Breast Cancer</article-title>. <source>Breast Cancer Res Treat</source> (<year>2014</year>) <volume>145</volume>(<issue>2</issue>):<fpage>295</fpage>&#x2013;<lpage>305</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10549-014-2949-z</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>K</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>J</given-names>
</name>
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<name>
<surname>Bi</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Macrophage M2 Co-Expression Factors Correlate With the Immune Microenvironment and Predict Outcome of Renal Clear Cell Carcinoma</article-title>. <source>Front Genet</source> (<year>2021</year>) <volume>12</volume>:<elocation-id>615655</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fgene.2021.615655</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vecchio</surname> <given-names>G</given-names>
</name>
<name>
<surname>Parascandolo</surname> <given-names>A</given-names>
</name>
<name>
<surname>Allocca</surname> <given-names>C</given-names>
</name>
<name>
<surname>Ugolini</surname> <given-names>C</given-names>
</name>
<name>
<surname>Basolo</surname> <given-names>F</given-names>
</name>
<name>
<surname>Moracci</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Human a-L-Fucosidase-1 Attenuates the Invasive Properties of Thyroid Cancer</article-title>. <source>Oncotarget</source> (<year>2017</year>) <volume>8</volume>(<issue>16</issue>):<page-range>27075&#x2013;92</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.18632/oncotarget.15635</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<name>
<surname>Hsu</surname> <given-names>HC</given-names>
</name>
<name>
<surname>Mountz</surname> <given-names>JD</given-names>
</name>
<name>
<surname>Allen</surname> <given-names>JG</given-names>
</name>
</person-group>. <article-title>Unmasking Fucosylation: From Cell Adhesion to Immune System Regulation and Diseases</article-title>. <source>Cell Chem Biol</source> (<year>2018</year>) <volume>25</volume>(<issue>5</issue>):<fpage>499</fpage>&#x2013;<lpage>512</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.chembiol.2018.02.005</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lan</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Hao</surname> <given-names>C</given-names>
</name>
<name>
<surname>Zeng</surname> <given-names>X</given-names>
</name>
<name>
<surname>He</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zeng</surname> <given-names>P</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>Z</given-names>
</name>
<etal/>
</person-group>. <article-title>Serum Glycoprotein-Derived N- and O-Linked Glycans as Cancer Biomarkers</article-title>. <source>Am J Cancer Res</source> (<year>2016</year>) <volume>6</volume>(<issue>11</issue>):<page-range>2390&#x2013;415</page-range>.</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Darby</surname> <given-names>JK</given-names>
</name>
<name>
<surname>Johnsen</surname> <given-names>J</given-names>
</name>
<name>
<surname>Nakashima</surname> <given-names>P</given-names>
</name>
<name>
<surname>Willems</surname> <given-names>PJ</given-names>
</name>
<name>
<surname>O'Brien</surname> <given-names>JS</given-names>
</name>
<name>
<surname>Fowler</surname> <given-names>ML</given-names>
</name>
<etal/>
</person-group>. <article-title>Pvu II RFLP at the Human Chromosome 1 Alpha-L-Fucosidase Gene Locus (Fuca1)</article-title>. <source>Nucleic Acids Res</source> (<year>1986</year>) <volume>14</volume>(<issue>23</issue>):<fpage>9543</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/nar/14.23.9543</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Miyoshi</surname> <given-names>E</given-names>
</name>
<name>
<surname>Moriwaki</surname> <given-names>K</given-names>
</name>
<name>
<surname>Nakagawa</surname> <given-names>T</given-names>
</name>
</person-group>. <article-title>Biological Function of Fucosylation in Cancer Biology</article-title>. <source>J Biochem</source> (<year>2008</year>) <volume>143</volume>(<issue>6</issue>):<page-range>725&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/jb/mvn011</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Takeda</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Shinzaki</surname> <given-names>S</given-names>
</name>
<name>
<surname>Okudo</surname> <given-names>K</given-names>
</name>
<name>
<surname>Moriwaki</surname> <given-names>K</given-names>
</name>
<name>
<surname>Murata</surname> <given-names>K</given-names>
</name>
<name>
<surname>Miyoshi</surname> <given-names>E</given-names>
</name>
</person-group>. <article-title>Fucosylated Haptoglobin Is a Novel Type of Cancer Biomarker Linked to the Prognosis After an Operation in Colorectal Cancer</article-title>. <source>Cancer</source> (<year>2012</year>) <volume>118</volume>(<issue>12</issue>):<page-range>3036&#x2013;43</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/cncr.26490</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hu</surname> <given-names>P</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>B</given-names>
</name>
<name>
<surname>Geng</surname> <given-names>F</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>C</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>W</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>XZ</given-names>
</name>
</person-group>. <article-title>E-Cadherin Core Fucosylation Regulates Nuclear Beta-Catenin Accumulation in Lung Cancer Cells</article-title>. <source>Glycoconj J</source> (<year>2008</year>) <volume>25</volume>(<issue>9</issue>):<page-range>843&#x2013;50</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10719-008-9144-6</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Itoh</surname> <given-names>S</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Isaji</surname> <given-names>T</given-names>
</name>
<name>
<surname>Miyoshi</surname> <given-names>E</given-names>
</name>
<name>
<surname>Kariya</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Deletion of Core Fucosylation on Alpha3beta1 Integrin Down-Regulates Its Functions</article-title>. <source>J Biol Chem</source> (<year>2006</year>) <volume>281</volume>(<issue>50</issue>):<page-range>38343&#x2013;50</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1074/jbc.M608764200</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lin</surname> <given-names>H</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>D</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>T</given-names>
</name>
<name>
<surname>Dong</surname> <given-names>C</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>N</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Blocking Core Fucosylation of TGF-Beta1 Receptors Downregulates Their Functions and Attenuates the Epithelial-Mesenchymal Transition of Renal Tubular Cells</article-title>. <source>Am J Physiol Renal Physiol</source> (<year>2011</year>) <volume>300</volume>(<issue>4</issue>):<page-range>F1017&#x2013;25</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1152/ajprenal.00426.2010</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Gu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Ihara</surname> <given-names>H</given-names>
</name>
<name>
<surname>Miyoshi</surname> <given-names>E</given-names>
</name>
<name>
<surname>Honke</surname> <given-names>K</given-names>
</name>
<name>
<surname>Taniguchi</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>Core Fucosylation Regulates Epidermal Growth Factor Receptor-Mediated Intracellular Signaling</article-title>. <source>J Biol Chem</source> (<year>2006</year>) <volume>281</volume>(<issue>5</issue>):<page-range>2572&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1074/jbc.M510893200</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Brockhausen</surname> <given-names>I</given-names>
</name>
</person-group>. <article-title>Mucin-Type O-Glycans in Human Colon and Breast Cancer: Glycodynamics and Functions</article-title>. <source>EMBO Rep</source> (<year>2006</year>) <volume>7</volume>(<issue>6</issue>):<fpage>599</fpage>&#x2013;<lpage>604</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/sj.embor.7400705</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dube</surname> <given-names>DH</given-names>
</name>
<name>
<surname>Bertozzi</surname> <given-names>CR</given-names>
</name>
</person-group>. <article-title>Glycans in Cancer and Inflammation&#x2013;Potential for Therapeutics and Diagnostics</article-title>. <source>Nat Rev Drug Discov</source> (<year>2005</year>) <volume>4</volume>(<issue>6</issue>):<page-range>477&#x2013;88</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nrd1751</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lau</surname> <given-names>KS</given-names>
</name>
<name>
<surname>Dennis</surname> <given-names>JW</given-names>
</name>
</person-group>. <article-title>N-Glycans in Cancer Progression</article-title>. <source>Glycobiology</source> (<year>2008</year>) <volume>18</volume>(<issue>10</issue>):<page-range>750&#x2013;60</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/glycob/cwn071</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pinho</surname> <given-names>SS</given-names>
</name>
<name>
<surname>Reis</surname> <given-names>CA</given-names>
</name>
</person-group>. <article-title>Glycosylation in Cancer: Mechanisms and Clinical Implications</article-title>. <source>Nat Rev Cancer</source> (<year>2015</year>) <volume>15</volume>(<issue>9</issue>):<page-range>540&#x2013;55</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nrc3982</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>