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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mol. Biosci.</journal-id>
<journal-title>Frontiers in Molecular Biosciences</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mol. Biosci.</abbrev-journal-title>
<issn pub-type="epub">2296-889X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">785922</article-id>
<article-id pub-id-type="doi">10.3389/fmolb.2021.785922</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Molecular Biosciences</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Co-Overexpression of GRK5/ACTC1 Correlates With the Clinical Parameters and Poor Prognosis of Epithelial Ovarian Cancer</article-title>
<alt-title alt-title-type="left-running-head">Liu et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">GRK5 and ACTC1 in EOC</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Longyang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1048044/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lv</surname>
<given-names>Jin</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lin</surname>
<given-names>Zhongqiu</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ning</surname>
<given-names>Yingxia</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1429937/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Jing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Ping</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1451365/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chen</surname>
<given-names>Chunlin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Gynecology and Obstetrics</institution>, <institution>Nanfang Hospital</institution>, <institution>Southern Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Cancer Center</institution>, <institution>Integrated Hospital of Traditional Chinese Medicine</institution>, <institution>Southern Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Obstetrics and Gynecology</institution>, <institution>Longgang Central Hospital of Shenzhen City</institution>, <addr-line>Shenzhen</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Gynecology Oncology</institution>, <institution>The Memorial Hospital of Sun Yat-sen University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Gynecology and Obstetrics</institution>, <institution>The First Affiliated Hospital of Guangzhou Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/98730/overview">Zhe-Sheng Chen</ext-link>, St. John&#x2019;s University, United&#x20;States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1154001/overview">Khushboo Jani</ext-link>, RAPT Therapeutics, United&#x20;States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1511132/overview">Yiyi Liu</ext-link>, Guangzhou Medical University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Jing Li, <email>lijing7405@126.com</email>; Ping Liu, <email>lpivy@126.com</email>; Chunlin Chen, <email>jieru@163.com</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors share first authorship</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Molecular Diagnostics and Therapeutics, a section of the journal Frontiers in Molecular Biosciences</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>02</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>8</volume>
<elocation-id>785922</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>12</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Liu, Lv, Lin, Ning, Li, Liu and Chen.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Liu, Lv, Lin, Ning, Li, Liu 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&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Background:</bold> The prognosis of epithelial ovarian cancer (EOC) is poor, and the present prognostic predictors of EOC are neither sensitive nor specific.</p>
<p>
<bold>Objective:</bold> The aim of this study was to search the prognostic biomarkers of EOC and to investigate the expression of G protein-coupled receptor kinase 5 (GRK5) and actin alpha cardiac muscle 1 (ACTC1) in EOC tissues (both paraffin-embedded and fresh-frozen tissues) and to explore their association with clinicopathological parameters and prognostic value in patients with&#x20;EOC.</p>
<p>
<bold>Methods:</bold> A total of 172&#x20;paraffin-embedded cancer tissues of EOC patients diagnosed and operated at the memorial hospital of Sun Yat-sen University between December 2009 and March 2017 and 41 paratumor tissues were collected and the expression of GRK5 and ACTC1 was examined using immunohistochemistry. Furthermore, 16&#x20;fresh-frozen EOC tissues and their matched paratumor tissues were collected from the Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, between August 2013 and November 2019 and subjected to reverse-transcription quantitative PCR analysis to detect the mRNA expression of GRK5 and ACTC1.</p>
<p>
<bold>Results:</bold> The expression of GRK5 and ACTC1 was both higher in cancer tissues than in paratumor tissues. GRK5 expression was positively correlated with ACTC1 expression. In addition, GRK5, ACTC1, and GRK5/ACTC1 expression was associated with the recurrence-free survival and overall survival of EOC patients. Furthermore, multivariate logistic regression analysis indicated that GRK5&#x2b;/ACTC1&#x2b; co-expression, intestinal metastasis, postoperative chemotherapy, platinum resistance, and hyperthermic intraperitoneal chemotherapy were independent prognostic factors of&#x20;EOC.</p>
<p>
<bold>Conclusion:</bold> GRK5 and ACTC1 are both upregulated in EOC compared with those in paratumor tissues. The co-expression of GRK5&#x2b;/ACTC1&#x2b; rather than GRK5 or ACTC1 is an independent prognostic biomarker of&#x20;EOC.</p>
</abstract>
<kwd-group>
<kwd>GRK5</kwd>
<kwd>ACTC1</kwd>
<kwd>epithelial ovarian cancer</kwd>
<kwd>prognosis</kwd>
<kwd>expression</kwd>
</kwd-group>
<contract-num rid="cn001">2020A1515110030</contract-num>
<contract-sponsor id="cn001">Natural Science Foundation of Guangdong Province<named-content content-type="fundref-id">10.13039/501100003453</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Ovarian cancer (OC) is the main cause of mortality in female reproductive malignant cancers in China (<xref ref-type="bibr" rid="B2">Chen et&#x20;al., 2016</xref>), and it is the second most common cause of gynecologic cancer-related death in women worldwide (<xref ref-type="bibr" rid="B15">Lheureux et&#x20;al., 2019</xref>). Globally, there are 239,000 new cases and 152,000 deaths every year, making OC the seventh most common cancer and the second most common cause of gynecologic cancer-related mortality (<xref ref-type="bibr" rid="B15">Lheureux et&#x20;al., 2019</xref>). The most common type of OC is epithelial ovarian cancer (EOC). Cytoreduction and combination chemotherapies were performed to treat OC, but the prognosis remains poor (<xref ref-type="bibr" rid="B23">Liu et&#x20;al., 2019a</xref>; <xref ref-type="bibr" rid="B31">Yao et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B22">Liu et&#x20;al., 2020</xref>). Recently, tumor biomarkers have been used to monitor the progression and predict the prognosis of EOC, but these biomarkers are not very accurate (<xref ref-type="bibr" rid="B23">Liu et&#x20;al., 2019a</xref>; <xref ref-type="bibr" rid="B31">Yao et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B22">Liu et&#x20;al., 2020</xref>).</p>
<p>In our previous study, we found that non-muscle myosin heavy chain B (MYH10) is an independent prognostic biomarker of EOC (in print). Furthermore, we used the Biogrid website to predict the candidate interacting proteins of MYH10, and we found some candidate proteins that may closely correlate with MYH10, such as MYL9 (<xref ref-type="bibr" rid="B5">Deng et&#x20;al., 2021</xref>), MACF1 (<xref ref-type="bibr" rid="B21">Liu et&#x20;al., 2021</xref>), MYH9 (<xref ref-type="bibr" rid="B20">Liu et&#x20;al., 2019b</xref>), and so on. In the further study, we found that the co-expression of GRK5 (G protein-coupled receptor kinase 5) and ACTC1 (actin alpha cardiac muscle 1) is indeed independent prognostic biomarkers, which indicates their important role in EOC. GRK5 is one of the G protein-coupled receptor kinase (GRK) family members (<xref ref-type="bibr" rid="B8">Gambardella et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B9">Jiang et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B36">Zhao et&#x20;al., 2019a</xref>; <xref ref-type="bibr" rid="B14">Lagman et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B26">Sommer et&#x20;al., 2019</xref>), which is a candidate interacting protein of MYH10. GRK5 can regulate GPCR signaling, which correlates with various diseases like cardiac dysfunction, diabetes, hypertension, Alzheimer&#x2019;s disease, and cancers (<xref ref-type="bibr" rid="B11">Kim et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B12">Komolov et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B9">Jiang et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B1">Alshabi et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B33">Zhao et&#x20;al., 2019b</xref>). GRK5 functions as oncogenes in glioblastoma (GBM) (<xref ref-type="bibr" rid="B30">Yang et&#x20;al., 2018</xref>), prostate (<xref ref-type="bibr" rid="B11">Kim et&#x20;al., 2012</xref>), pancreas (<xref ref-type="bibr" rid="B27">Tseng and Zhang, 2000</xref>), non-small-cell lung (<xref ref-type="bibr" rid="B9">Jiang et&#x20;al., 2018</xref>), and breast (<xref ref-type="bibr" rid="B26">Sommer et&#x20;al., 2019</xref>) cancers. However, to the best of our knowledge, the role of GRK5 in EOC has not been reported.</p>
<p>Similar to GRK5, ACTC1 is also a cardiac-related gene (<xref ref-type="bibr" rid="B13">Kondrashov et&#x20;al., 2018</xref>), and both of them are the candidate interacting proteins of MYH10. ACTC1 encodes cardiac actin, and a mutation at c.G301A causes hypertrophic cardiomyopathy and, in some cases, sudden cardiac death (<xref ref-type="bibr" rid="B6">Frank et&#x20;al., 2019</xref>). Recently, some reports (<xref ref-type="bibr" rid="B10">Kim et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B4">da Rocha et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B28">Wanibuchi et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B3">Cheung et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B17">Li et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B25">Ohtaki et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B32">Zaravinos et&#x20;al., 2011</xref>) have demonstrated that ACTC1 plays an important role in human colon cancer, oral squamous cell carcinoma, GBM, and so on. However, the role of ACTC1 in EOC has not been reported, and the relationship of GRK5 and ACTC1 and EOC has not been explored&#x20;yet.</p>
<p>The present study identified that GRK5 and ACTC1 were both upregulated in EOC. More importantly, GRK5&#x2b;/ACTC1&#x2b; co-expression was an independent prognostic factor. The GRK5&#x2b;/ACTC1&#x2b; co-expression could predict the development, metastasis, and prognosis of&#x20;EOC.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Paraffin-Embedded Tissue Sections</title>
<p>Between December 2009 and March 2017, a total of 172&#x20;paraffin-embedded EOC tissues and 41 matched paraffin-embedded paratumor tissues (the distance away from the margin of the cancer tissue is more than 1.0&#xa0;cm) that had been pathologically confirmed at the memorial hospital of Sun Yat-sen University were collected for the present study. The survival duration was calculated from the date of surgery to November 1, 2018 (last follow-up). The approval of the present study was obtained from the Ethics Committee of the memorial hospital of Sun Yat-sen University. All of the patients provided written informed consent prior to the operation.</p>
</sec>
<sec id="s2-2">
<title>Fresh Tissue Specimens</title>
<p>Between August 2013 and June 2019, 16 fresh EOC tissues and their matched fresh paratumor tissues were collected from the Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, at the time of diagnosis after surgery. All fresh samples were immediately preserved in liquid nitrogen. Approval was obtained from the Ethics Committee of the Integrated Hospital of Traditional Chinese Medicine, Southern Medical University. All of the patients provided written informed consent prior to surgery.</p>
</sec>
<sec id="s2-3">
<title>Immunohistochemistry</title>
<p>The expression of GRK5 and ACTC1 in paraffin-embedded EOC and paired paratumor tissues was detected by IHC staining. First, 4-&#x3bc;m paraffin-embedded sections were baked at 65&#xb0;C for 2&#xa0;h, deparaffinized with xylene, and rehydrated; high tension was used for antigen retrieval, and the specimens were treated with 3% hydrogen peroxide in methanol, followed by incubation with 1% bovine serum albumin to block non-specific binding. Subsequently, the samples were incubated with anti-rabbit GRK5 polyclonal (1:150 dilution; Cat. 17032-1-AP; Proteintech) or ACTC1 antibodies (1:200 dilution; Cat. 66125-1-IG; Proteintech) at 4&#xb0;C overnight. Next, the samples were treated with secondary antibody (OriGene, Rockville, MD, USA) and then incubated with streptavidin horseradish peroxidase complex (OriGene, Rockville, MD, USA), immersed in 3-amino-9-ethyl carbazole. The sections were then counterstained with 10% Mayer&#x2019;s hematoxylin, dehydrated, and mounted in Crystal Mount. Two pathologists evaluated the score of immunostaining for each section. The score was based on the proportion of positively stained cancer cells and the staining intensity. The percentage was scored as follows: samples with &#x3c;10% positive cancer cells were scored as 0; 10&#x2013;50% were scored as 1, 50&#x2013;75% were scored as 2, and &#x3e;75% were scored as 3. Furthermore, the tissues were classified into four grades based on staining intensity: 0 indicated no staining, 1 indicated weak staining, 2 indicated moderate staining, and 3 indicated strong staining. The staining index (0&#x2013;9) was calculated as the product of the proportion of positive cells multiplied by the staining intensity score. The best cutoff value was defined as follows: a staining score of &#x2265;6 was considered to indicate high GRK5 or ATCT1 protein expression (also called GRK5&#x2b; or ACTC1&#x2b;), and a staining score of &#x2264;5 indicated low GRK5 or ATCT1 protein expression (also called GRK5- or ACTC1-) (<xref ref-type="bibr" rid="B7">Fu et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B37">Zhen et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B35">Zhao et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B18">Liang et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B38">Zou et&#x20;al., 2019</xref>).</p>
</sec>
<sec id="s2-4">
<title>Real-Time Quantitative Polymerase Chain Reaction</title>
<p>The total RNA was extracted from the EOC tissues and paratumor tissues by using TRIzol (Takara Bio, Inc., Shiga, Japan). GAPDH mRNA was detected as the internal control (<xref ref-type="bibr" rid="B22">Liu et al., 2020</xref>). The expression levels of each matched fresh paratumor tissue sample were set as the control group (the expression levels of MYL9 in all of the paratumor tissues were 1.00 &#xb1; 0.00), and the relative expression is 2<sup>-&#x2206;&#x2206;Ct</sup>. The thermocycling conditions (<xref ref-type="bibr" rid="B34">Zhao et al., 2016</xref>; <xref ref-type="bibr" rid="B24">Liu et al., 2019c</xref>; <xref ref-type="bibr" rid="B16">Li et al., 2019</xref>; <xref ref-type="bibr" rid="B19">Lin et al., 2019</xref>; <xref ref-type="bibr" rid="B29">Xiao et al., 2019</xref>) were 95&#xb0;C for 10&#xa0;min to activate DNA polymerase, followed by 45 cycles of 95&#xb0;C for 15&#xa0;s, 60&#xb0;C for 15&#xa0;s, and 72&#xb0;C for 10&#xa0;s. The specificity of amplification products was confirmed by melting curve analysis. Independent experiments were performed in triplicate. The specific primer sequences were as follows: GRK5 forward, 5&#x2032;-CCT&#x200b;CCG&#x200b;AAG&#x200b;GAC&#x200b;CAT&#x200b;AGA&#x200b;CA-3&#x2032; and reverse, 5&#x2032;-GAC&#x200b;TGG&#x200b;GGA&#x200b;CTT&#x200b;TGG&#x200b;AGT&#x200b;GA-3&#x2019;; ACTC1 forward, 5&#x2032;-GGT&#x200b;GAT&#x200b;GAA&#x200b;GCC&#x200b;CAG&#x200b;AGC&#x200b;AA-3&#x2032; and reverse, 5&#x2032;-GTG&#x200b;GTG&#x200b;ACA&#x200b;AAG&#x200b;GAG&#x200b;TAG&#x200b;CC-3&#x2019;; GAPDH forward, 5&#x2032;-CCA&#x200b;TCT&#x200b;TCC&#x200b;AGG&#x200b;AGC&#x200b;GAG&#x200b;AT-3&#x2032; and reverse, 5&#x2032;-TGC&#x200b;TGA&#x200b;TGA&#x200b;TCT&#x200b;TGA&#x200b;GGC&#x200b;TG-3&#x2019;.</p>
</sec>
<sec id="s2-5">
<title>Statistical Analysis</title>
<p>All data analyses were performed using the statistical software package SPSS 21.0 (IBM Corp.) and GraphPad Prism 7 (GraphPad Software, Inc.). The mRNA expression of GRK5 or ACTC1 was expressed as the mean&#x20;&#xb1; standard deviation. A two-tailed Student&#x2019;s t-test was used for comparisons between two independent groups (the expression of GRK5 or ACTC1 in paratumor tissues as the control group). The chi-square test or Fisher&#x2019;s exact test was used to analyze the association among GRK5 or ACTC1 or GRK5/ACTC1&#x20;co-expression (including GRK5&#x2b;/ACTC1&#x2b;, GRK5-/ACTC1&#x2b;, GRK5&#x2b;/ACTC1-, and GRK5-/ACTC1-) and clinicopathological parameters. Furthermore, the recurrence-free survival (RFS) and overall survival (OS) were analyzed by Kaplan&#x2013;Meier analysis, and the differences were assessed using the log-rank test. Cox&#x2019;s proportional hazards regression model was used for univariate and multivariate analysis. Spearman or Pearson correlation was used for the correlation between GRK5 and ACTC1 expression. <italic>p</italic>&#x20;&#x3c; 0.05 was considered to indicate statistical significance.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>GRK5 and ACTC1 mRNA Were Both Upregulated in Fresh Epithelial Ovarian Cancer Tissues Compared With That in Paratumor Tissues</title>
<p>Reverse-transcription quantitative PCR (RT-qPCR) analysis was performed to detect the mRNA expression levels of both GRK5 and ACTC1 in 16 fresh EOC tissues and matched paratumor tissues (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>). The expression of GRK5 or ACTC1 in all of the matched paratumor tissues was set as 1.00&#x20;&#xb1; 0.00, and the expression in each of the tumor tissues was compared with that in the matched paratumor tissues. The results indicated that the mean expression of GRK5 and ACTC1 in the 16 fresh EOC tissues was 21.590 and 245.600, respectively. There was a significant difference between EOC tissues and paratumor tissues (<italic>p</italic>&#x20;&#x3d; 0.0018; <italic>p</italic>&#x20;&#x3d; 0.013; <xref ref-type="table" rid="T1">Table&#x20;1</xref> and <xref ref-type="fig" rid="F1">Figure&#x20;1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Both GRK5 and ACTC1 were significantly upregulated in EOC tissues compared with that in paratumor tissues using RT-qPCR analysis.</p>
</caption>
<graphic xlink:href="fmolb-08-785922-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Both GRK5 and ACTC1 were significantly upregulated in EOC tissues compared with that in paratumor tissues.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Group</th>
<th align="center">GRK5 mRNA expression</th>
<th align="center">ACTC1 mRNA expression</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">All of paratumor tissues (total of 16 cases)</td>
<td align="center">1.00&#x20;&#xb1; 0.00</td>
<td align="center">1.00&#x20;&#xb1; 0.00</td>
</tr>
<tr>
<td align="left">Patient 1</td>
<td align="center">6.218&#x20;&#xb1; 4.482</td>
<td align="center">14.480&#x20;&#xb1; 5.654</td>
</tr>
<tr>
<td align="left">Patient 2</td>
<td align="center">6.963&#x20;&#xb1; 3.018</td>
<td align="center">5.057&#x20;&#xb1; 3.370</td>
</tr>
<tr>
<td align="left">Patient 3</td>
<td align="center">8.547&#x20;&#xb1; 2.435</td>
<td align="center">166.100&#x20;&#xb1; 105.700</td>
</tr>
<tr>
<td align="left">Patient 4</td>
<td align="center">8.865&#x20;&#xb1; 1.137</td>
<td align="center">833.800&#x20;&#xb1; 584.800</td>
</tr>
<tr>
<td align="left">Patient 5</td>
<td align="center">2.610&#x20;&#xb1; 0.800</td>
<td align="center">0.115&#x20;&#xb1; 0.075</td>
</tr>
<tr>
<td align="left">Patient 6</td>
<td align="center">2.149&#x20;&#xb1; 0.737</td>
<td align="center">0.016&#x20;&#xb1; 0.004</td>
</tr>
<tr>
<td align="left">Patient 7</td>
<td align="center">1.442&#x20;&#xb1; 0.489</td>
<td align="center">2.229&#x20;&#xb1; 0.837</td>
</tr>
<tr>
<td align="left">Patient 8</td>
<td align="center">29.440&#x20;&#xb1; 31.740</td>
<td align="center">53.560&#x20;&#xb1; 20.970</td>
</tr>
<tr>
<td align="left">Patient 9</td>
<td align="center">0.002&#x20;&#xb1; 0.145</td>
<td align="center">0.029&#x20;&#xb1; 0.010</td>
</tr>
<tr>
<td align="left">Patient 10</td>
<td align="center">96.510&#x20;&#xb1; 58.720</td>
<td align="center">246.700&#x20;&#xb1; 29.080</td>
</tr>
<tr>
<td align="left">Patient 11</td>
<td align="center">2.564&#x20;&#xb1; 2.011</td>
<td align="center">1.885&#x20;&#xb1; 0.405</td>
</tr>
<tr>
<td align="left">Patient 12</td>
<td align="center">0.326&#x20;&#xb1; 0.116</td>
<td align="center">2.079&#x20;&#xb1; 0.790</td>
</tr>
<tr>
<td align="left">Patient 13</td>
<td align="center">1.173&#x20;&#xb1; 0.165</td>
<td align="center">6.146&#x20;&#xb1; 1.582</td>
</tr>
<tr>
<td align="left">Patient 14</td>
<td align="center">7.917&#x20;&#xb1; 5.036</td>
<td align="center">2.116&#x20;&#xb1; 0.705</td>
</tr>
<tr>
<td align="left">Patient 15</td>
<td align="center">22.360&#x20;&#xb1; 9.835</td>
<td align="center">19.800&#x20;&#xb1; 2.400</td>
</tr>
<tr>
<td align="left">Patient 16</td>
<td align="center">148.300&#x20;&#xb1; 30.390</td>
<td align="center">2,575.000&#x20;&#xb1; 312.400</td>
</tr>
<tr>
<td align="left">Expression of all patients</td>
<td align="center">21.590&#x20;&#xb1; 43.210&#x2a;&#x2a;</td>
<td align="center">245.600&#x20;&#xb1; 656.600&#x2a;</td>
</tr>
<tr>
<td align="left">
<italic>p</italic>
</td>
<td align="center">
<bold>0.0018</bold>
</td>
<td align="center">0.013</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ACTC1, actin alpha cardiac muscle 1; GRK5, G protein-coupled receptor kinase 5. Bold value indicates the significant differences.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>GRK5 and ACTC1 Expression Were Both Assessed in Paraffin-Embedded Epithelial Ovarian Cancer Tissues and Paratumor Tissues by Immunohistochemistry</title>
<p>To further determine whether GRK5 or ACTC1 protein is upregulated in EOC, 172&#x20;paraffin-embedded EOC tissues and 41 matched paratumor tissues were subjected to the IHC analysis of GRK5 and ACTC1 expression. The results indicated that 54/172 (31.40%, GRK5) and 53/172 (30.81%, ACTC1) of the cancer samples had low/absent staining (rated as low expression) and 118/172 (68.60%, GRK5) and 119/172 (69.19%, ACTC1) had moderate/strong staining (rated as high expression), while the IHC analysis of the 41 paratumor tissues indicated that 29/41 (70.73%, GRK5) and 32/41 (78.05%, ACTC1) of the paratumor samples had low/absent staining and 12/41 (29.27%, GRK5) and 9/41 (21.95%, ACTC1) had moderate/strong staining. Moreover, the results indicated that 88/172 (51.16%, GRK5&#x2b;/ACTC1&#x2b;) of the cancer samples had moderate/strong staining and 84/172 (48.84%, others) had low/absent staining, while the IHC analysis of the 41 paratumor tissues indicated that 37/41 (90.24%, others) and low/absent staining and 4/41 (9.76%, GRK5&#x2b;/ACTC1&#x2b;) had moderate/strong staining. There was a significant difference on the GRK5, ACTC1, and GRK5/ACTC1 expression between the cancer and paratumor tissues (<italic>p</italic>&#x20;&#x3c; 0.0001, <italic>p</italic>&#x20;&#x3c; 0.0001, <italic>p</italic>&#x20;&#x3c; 0.0001; <xref ref-type="fig" rid="F2">Figures 2A&#x2013;C</xref>). Furthermore, it was observed that GRK5 and ACTC1 proteins were both located in the nucleus (<xref ref-type="fig" rid="F2">Figures 2D&#x2013;G</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>GRK5 and ACTC1 were both upregulated in paraffin-embedded EOC. <bold>(A)</bold> GRK5 expression in EOC tissues and paratumor tissues (<italic>p</italic>&#x20;&#x3c; 0.0001); <bold>(B)</bold> ACTC1 expression in EOC tissues and paratumor tissues (<italic>p</italic>&#x20;&#x3c; 0.0001); <bold>(C)</bold> GRK5/ACTC1&#x20;co-expression in EOC tissues and paratumor tissues (<italic>p</italic>&#x20;&#x3c; 0.0001); <bold>(D)</bold> Comparison of EOC/paratumor tissues immunohistochemically stained for GRK5 (400X); <bold>(E)</bold> Comparison of EOC/paratumor tissues immunohistochemically stained for ACTC1 (400X); <bold>(F)</bold> the staining of GRK5 expression in EOC tissues (400X); <bold>(G)</bold> the staining of ACTC1 expression in EOC tissues (400X).</p>
</caption>
<graphic xlink:href="fmolb-08-785922-g002.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>GRK5 or ACTC1 or GRK5/ACTC1&#x20;Co-expression Was Associated With Recurrence-Free Survival and Overall Survival of Epithelial Ovarian Cancer Patients</title>
<p>In this study, patients with GRK5&#x2b; exhibited a median OS time of 27 months, while patients with GRK5- exhibited a median OS time of 27&#x20;months (HR &#x3d; 1.81, 95% CI: 1.056&#x2013;3.101). Patients with GRK5&#x2b; exhibited a median RFS time of only 15 months, while patients with GRK5- exhibited a median RFS time of 17&#x20;months (HR &#x3d; 1.555, 95% CI: 0.9023&#x2013;2.681). Moreover, patients with ACTC1&#x2b; exhibited a median OS time of only 24 months, while patients with ACTC1- exhibited a median OS time of 47&#x20;months (HR &#x3d; 2.159, 95% CI: 1.255&#x2013;3.716). Patients with ACTC1&#x2b; exhibited a median RFS time of only 14 months, while patients with ACTC1- exhibited a median RFS time of 29.5&#x20;months (HR &#x3d; 1.784, 95% CI: 1.024&#x2013;3.11). In addition, patients with GRK5&#x2b;/ACTC1&#x2b; co-expression exhibited a median OS time of only 21.0 months, while patients with others co-expression exhibited a mean OS time of 38.5&#x20;months (HR &#x3d; 2.17, 95% CI: 1.22&#x2013;3.858). Patients with GRK5&#x2b;/ACTC1&#x2b; co-expression exhibited a median RFS time of only 12.5 months, while patients with other co-expressions exhibited a mean RFS time of 22&#x20;months (HR &#x3d; 2.092, 95% CI: 1.17&#x2013;3.739). Kaplan&#x2013;Meier survival analysis demonstrated that there was a statistical significance on the OS and RFS between GRK5&#x2b;/ACTC1&#x2b; and others co-expression (<italic>p</italic>&#x20;&#x3d; 0.0019 and <italic>p</italic>&#x20;&#x3d; 0.0028, respectively), and there was also a statistical significance on the OS and RFS between ACTC1&#x2b; and ACTC1- (<italic>p</italic>&#x20;&#x3d; 0.0065 and <italic>p</italic>&#x20;&#x3d; 0.0399, respectively). However, there was a significant difference between the GRK5&#x2b; and GRK5- on OS (<italic>p</italic>&#x20;&#x3d; 0.0211), but there was no significance on the RFS between GRK5&#x2b; and GRK5- (<italic>p</italic>&#x20;&#x3d; 0.0922) (<xref ref-type="fig" rid="F3">Figure&#x20;3</xref>). A survival analysis showed that the cumulative OS and RFS rates of EOC patients increased with the increase in GRK5&#x2b;/ACTC1&#x2b; co-expression (<xref ref-type="fig" rid="F3">Figure&#x20;3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Kaplan&#x2013;Meier survival of RFS and OS among GRK5 and ACTC1 and co-expression of GRK5/ACTC1 in EOC patients: <bold>(A)</bold> Kaplan&#x2013;Meier survival of OS between GRK5 expression and EOC patients; <bold>(B)</bold> Kaplan&#x2013;Meier survival of RFS between GRK5 expression and EOC patients; <bold>(C)</bold> Kaplan&#x2013;Meier survival of OS between ACTC1 expression and EOC patients; <bold>(D)</bold> Kaplan&#x2013;Meier survival of RFS between ACTC1 expression and EOC patients; <bold>(E,G)</bold> Kaplan&#x2013;Meier survival of OS between GRK5/ACTC1&#x20;co-expression and EOC patients; <bold>(F,H)</bold> Kaplan&#x2013;Meier survival of RFS between GRK5/ACTC1&#x20;co-expression and EOC patients.</p>
</caption>
<graphic xlink:href="fmolb-08-785922-g003.tif"/>
</fig>
</sec>
<sec id="s3-4">
<title>GRK5 and ACTC1 and GRK5/ACTC1&#x20;Co-expression Were Associated With the Clinicopathological Parameters of Epithelial Ovarian Cancer Patients</title>
<p>Subsequently, we evaluated their correlation with the clinicopathological parameters of EOC patients. The results of using &#x3c7;2 or Fisher&#x2019;s exact test showed that there were significant relationships between GRK5 expression and clinicopathological parameters of EOC, such as the following factors: FIGO (International Federation of Gynecology and Obstetrics) stage, intraperitoneal metastasis, intestinal metastasis, differentiation grade, ascites with tumor cells, and so on (<xref ref-type="table" rid="T2">Table&#x20;2</xref>). There were significant relationships between ACTC1 expression and the clinicopathological parameters of EOC, such as the following factors: FIGO stage, lymph node metastasis, intraperitoneal metastasis, intestinal metastasis, vital status, and so on (<xref ref-type="table" rid="T2">Table&#x20;2</xref>). At last, we used &#x3c7;2 or Fisher&#x2019;s exact test to explore the relationship between GRK5/ACTC1&#x20;co-expression and the clinicopathological parameters of EOC, and we found that there were significant differences in the following factors: histology, FIGO stage, lymph node metastasis, intraperitoneal metastasis, intestinal metastasis, vital status, differentiation grade, ascites with tumor cells, and so on (<xref ref-type="table" rid="T2">Table&#x20;2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>GRK5, ACTC1 and GRK5/ACTC1&#x20;co-expression in association with clinical parameters of EOC.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" colspan="2" align="left">Parameters</th>
<th rowspan="2" align="center">Total</th>
<th colspan="3" align="center">GRK5</th>
<th colspan="3" align="center">
<italic>ACTC1</italic>
</th>
<th colspan="3" align="center">Co-expression of GRK5/ACTC1</th>
</tr>
<tr>
<th align="center">Low</th>
<th align="center">High</th>
<th align="center">
<italic>p</italic>-value (&#x3c7;2 or Fisher&#x2019;s exact test)</th>
<th align="center">Low</th>
<th align="center">High</th>
<th align="center">
<italic>p</italic>-value (&#x3c7;2 or Fisher&#x2019;s exact test)</th>
<th align="center">GRK5&#x2b;/ACTC1&#x2b;</th>
<th align="center">Others</th>
<th align="center">
<italic>p</italic>-value (&#x3c7;2 or Fisher&#x2019;s exact test)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="left">Age (years)</td>
<td align="center">&#x2264;50</td>
<td align="char" char=".">75</td>
<td align="char" char=".">27</td>
<td align="char" char=".">48</td>
<td rowspan="2" align="char" char=".">0.2525</td>
<td align="char" char=".">25</td>
<td align="char" char=".">50</td>
<td rowspan="2" align="char" char=".">0.5292</td>
<td align="char" char=".">33</td>
<td align="char" char=".">42</td>
<td rowspan="2" align="char" char=".">0.0984</td>
</tr>
<tr>
<td align="center">&#x3e;50</td>
<td align="char" char=".">97</td>
<td align="char" char=".">27</td>
<td align="char" char=".">70</td>
<td align="char" char=".">28</td>
<td align="char" char=".">69</td>
<td align="char" char=".">55</td>
<td align="char" char=".">42</td>
</tr>
<tr>
<td rowspan="4" align="left">Histology</td>
<td align="center">Serous</td>
<td align="char" char=".">110</td>
<td align="char" char=".">29</td>
<td align="char" char=".">81</td>
<td rowspan="4" align="char" char=".">0.0580</td>
<td align="char" char=".">29</td>
<td align="char" char=".">81</td>
<td rowspan="4" align="char" char=".">0.0729</td>
<td align="char" char=".">65</td>
<td align="char" char=".">45</td>
<td rowspan="4" align="char" char=".">
<bold>0.0095</bold>
</td>
</tr>
<tr>
<td align="center">Mucoid</td>
<td align="char" char=".">10</td>
<td align="char" char=".">6</td>
<td align="char" char=".">4</td>
<td align="char" char=".">5</td>
<td align="char" char=".">5</td>
<td align="char" char=".">2</td>
<td align="char" char=".">8</td>
</tr>
<tr>
<td align="center">Endometrial</td>
<td align="char" char=".">22</td>
<td align="char" char=".">10</td>
<td align="char" char=".">12</td>
<td align="char" char=".">7</td>
<td align="char" char=".">15</td>
<td align="char" char=".">7</td>
<td align="char" char=".">15</td>
</tr>
<tr>
<td align="center">Clear cell</td>
<td align="char" char=".">12</td>
<td align="char" char=".">5</td>
<td align="char" char=".">7</td>
<td align="char" char=".">7</td>
<td align="char" char=".">5</td>
<td align="char" char=".">4</td>
<td align="char" char=".">8</td>
</tr>
<tr>
<td rowspan="2" align="left">FIGO stage</td>
<td align="center">I/II</td>
<td align="char" char=".">48</td>
<td align="char" char=".">24</td>
<td align="char" char=".">24</td>
<td rowspan="2" align="char" char=".">
<bold>0.0011</bold>
</td>
<td align="char" char=".">25</td>
<td align="char" char=".">23</td>
<td rowspan="2" align="char" char=".">
<bold>0.0002</bold>
</td>
<td align="char" char=".">11</td>
<td align="char" char=".">37</td>
<td rowspan="2" align="char" char=".">
<bold>&#x3c;0.0001</bold>
</td>
</tr>
<tr>
<td align="center">III/IV</td>
<td align="char" char=".">124</td>
<td align="char" char=".">30</td>
<td align="char" char=".">94</td>
<td align="char" char=".">28</td>
<td align="char" char=".">96</td>
<td align="char" char=".">77</td>
<td align="char" char=".">47</td>
</tr>
<tr>
<td rowspan="2" align="left">Lymph node metastasis</td>
<td align="center">No</td>
<td align="char" char=".">47</td>
<td align="char" char=".">23</td>
<td align="char" char=".">24</td>
<td rowspan="2" align="char" char=".">0.0832</td>
<td align="char" char=".">24</td>
<td align="char" char=".">23</td>
<td rowspan="2" align="char" char=".">
<bold>0.0266</bold>
</td>
<td align="char" char=".">12</td>
<td align="char" char=".">35</td>
<td rowspan="2" align="char" char=".">
<bold>0.0062</bold>
</td>
</tr>
<tr>
<td align="center">Yes</td>
<td align="char" char=".">28</td>
<td align="char" char=".">8</td>
<td align="char" char=".">20</td>
<td align="char" char=".">7</td>
<td align="char" char=".">21</td>
<td align="char" char=".">16</td>
<td align="char" char=".">12</td>
</tr>
<tr>
<td rowspan="2" align="left">Intraperitoneal metastasis</td>
<td align="center">No</td>
<td align="char" char=".">57</td>
<td align="char" char=".">25</td>
<td align="char" char=".">32</td>
<td rowspan="2" align="char" char=".">
<bold>0.0131</bold>
</td>
<td align="char" char=".">29</td>
<td align="char" char=".">28</td>
<td rowspan="2" align="char" char=".">
<bold>&#x3c;0.0001</bold>
</td>
<td align="char" char=".">16</td>
<td align="char" char=".">41</td>
<td rowspan="2" align="char" char=".">
<bold>&#x3c;0.0001</bold>
</td>
</tr>
<tr>
<td align="center">Yes</td>
<td align="char" char=".">115</td>
<td align="char" char=".">29</td>
<td align="char" char=".">86</td>
<td align="char" char=".">24</td>
<td align="char" char=".">91</td>
<td align="char" char=".">72</td>
<td align="char" char=".">43</td>
</tr>
<tr>
<td rowspan="2" align="left">Intestinal metastasis</td>
<td align="center">No</td>
<td align="char" char=".">93</td>
<td align="char" char=".">44</td>
<td align="char" char=".">49</td>
<td rowspan="2" align="char" char=".">
<bold>&#x3c;0.0001</bold>
</td>
<td align="char" char=".">39</td>
<td align="char" char=".">54</td>
<td rowspan="2" align="char" char=".">
<bold>0.0006</bold>
</td>
<td align="char" char=".">29</td>
<td align="char" char=".">64</td>
<td rowspan="2" align="char" char=".">
<bold>&#x3c;0.0001</bold>
</td>
</tr>
<tr>
<td align="center">Yes</td>
<td align="char" char=".">79</td>
<td align="char" char=".">10</td>
<td align="char" char=".">69</td>
<td align="char" char=".">14</td>
<td align="char" char=".">65</td>
<td align="char" char=".">59</td>
<td align="char" char=".">20</td>
</tr>
<tr>
<td rowspan="2" align="left">Vital status</td>
<td align="center">Alive</td>
<td align="char" char=".">60</td>
<td align="char" char=".">24</td>
<td align="char" char=".">36</td>
<td rowspan="2" align="char" char=".">0.6502</td>
<td align="char" char=".">28</td>
<td align="char" char=".">32</td>
<td rowspan="2" align="char" char=".">
<bold>0.0262</bold>
</td>
<td align="char" char=".">19</td>
<td align="char" char=".">41</td>
<td rowspan="2" align="char" char=".">
<bold>0.0374</bold>
</td>
</tr>
<tr>
<td align="center">Dead</td>
<td align="char" char=".">53</td>
<td align="char" char=".">19</td>
<td align="char" char=".">34</td>
<td align="char" char=".">14</td>
<td align="char" char=".">39</td>
<td align="char" char=".">27</td>
<td align="char" char=".">26</td>
</tr>
<tr>
<td rowspan="2" align="left">Intraperitoneal recurrence</td>
<td align="center">No</td>
<td align="char" char=".">122</td>
<td align="char" char=".">38</td>
<td align="char" char=".">84</td>
<td rowspan="2" align="char" char=".">0.8558</td>
<td align="char" char=".">41</td>
<td align="char" char=".">81</td>
<td rowspan="2" align="char" char=".">0.3497</td>
<td align="char" char=".">60</td>
<td align="char" char=".">62</td>
<td rowspan="2" align="char" char=".">0.5503</td>
</tr>
<tr>
<td align="center">Yes</td>
<td align="char" char=".">46</td>
<td align="char" char=".">15</td>
<td align="char" char=".">31</td>
<td align="char" char=".">12</td>
<td align="char" char=".">34</td>
<td align="char" char=".">25</td>
<td align="char" char=".">21</td>
</tr>
<tr>
<td rowspan="2" align="left">Distant recurrence</td>
<td align="center">No</td>
<td align="char" char=".">140</td>
<td align="char" char=".">45</td>
<td align="char" char=".">95</td>
<td rowspan="2" align="char" char=".">0.7105</td>
<td align="char" char=".">47</td>
<td align="char" char=".">93</td>
<td rowspan="2" align="char" char=".">0.2069</td>
<td align="char" char=".">69</td>
<td align="char" char=".">71</td>
<td rowspan="2" align="char" char=".">0.4478</td>
</tr>
<tr>
<td align="center">Yes</td>
<td align="char" char=".">28</td>
<td align="char" char=".">8</td>
<td align="char" char=".">20</td>
<td align="char" char=".">6</td>
<td align="char" char=".">22</td>
<td align="char" char=".">16</td>
<td align="char" char=".">12</td>
</tr>
<tr>
<td rowspan="2" align="left">Differentiation grade</td>
<td align="center">G1/G2</td>
<td align="char" char=".">58</td>
<td align="char" char=".">26</td>
<td align="char" char=".">32</td>
<td rowspan="2" align="char" char=".">
<bold>0.0029</bold>
</td>
<td align="char" char=".">21</td>
<td align="char" char=".">37</td>
<td rowspan="2" align="char" char=".">0.1418</td>
<td align="char" char=".">22</td>
<td align="char" char=".">36</td>
<td rowspan="2" align="char" char=".">
<bold>0.0046</bold>
</td>
</tr>
<tr>
<td align="center">G3</td>
<td align="char" char=".">103</td>
<td align="char" char=".">23</td>
<td align="char" char=".">80</td>
<td align="char" char=".">26</td>
<td align="char" char=".">77</td>
<td align="char" char=".">63</td>
<td align="char" char=".">40</td>
</tr>
<tr>
<td rowspan="2" align="left">Platinum resistance</td>
<td align="center">No</td>
<td align="char" char=".">164</td>
<td align="char" char=".">50</td>
<td align="char" char=".">114</td>
<td rowspan="2" align="char" char=".">0.1784</td>
<td align="char" char=".">50</td>
<td align="char" char=".">114</td>
<td rowspan="2" align="char" char=".">0.6438</td>
<td align="char" char=".">84</td>
<td align="char" char=".">80</td>
<td rowspan="2" align="char" char=".">0.6782</td>
</tr>
<tr>
<td align="center">Yes</td>
<td align="char" char=".">5</td>
<td align="char" char=".">3</td>
<td align="char" char=".">2</td>
<td align="char" char=".">2</td>
<td align="char" char=".">3</td>
<td align="char" char=".">2</td>
<td align="char" char=".">3</td>
</tr>
<tr>
<td rowspan="2" align="left">Ascites with tumor cells</td>
<td align="center">No</td>
<td align="char" char=".">45</td>
<td align="char" char=".">22</td>
<td align="char" char=".">23</td>
<td rowspan="2" align="char" char=".">
<bold>0.0077</bold>
</td>
<td align="char" char=".">16</td>
<td align="char" char=".">29</td>
<td rowspan="2" align="char" char=".">0.5082</td>
<td align="char" char=".">16</td>
<td align="char" char=".">29</td>
<td rowspan="2" align="char" char=".">
<bold>0.0153</bold>
</td>
</tr>
<tr>
<td align="center">Yes</td>
<td align="char" char=".">35</td>
<td align="char" char=".">7</td>
<td align="char" char=".">28</td>
<td align="char" char=".">10</td>
<td align="char" char=".">25</td>
<td align="char" char=".">22</td>
<td align="char" char=".">13</td>
</tr>
<tr>
<td rowspan="2" align="left">CA125 (U/ml)</td>
<td align="center">&#x2264;35</td>
<td align="char" char=".">22</td>
<td align="char" char=".">7</td>
<td align="char" char=".">15</td>
<td rowspan="2" align="char" char=".">0.8794</td>
<td align="char" char=".">4</td>
<td align="char" char=".">18</td>
<td rowspan="2" align="char" char=".">0.3150</td>
<td align="char" char=".">13</td>
<td align="char" char=".">9</td>
<td rowspan="2" align="char" char=".">0.4464</td>
</tr>
<tr>
<td align="center">&#x3e;35</td>
<td align="char" char=".">139</td>
<td align="char" char=".">42</td>
<td align="char" char=".">97</td>
<td align="char" char=".">44</td>
<td align="char" char=".">95</td>
<td align="char" char=".">70</td>
<td align="char" char=".">69</td>
</tr>
<tr>
<td rowspan="2" align="left">
<bold>CA72-4</bold> (U/ml)</td>
<td align="center">&#x2264;7</td>
<td align="char" char=".">69</td>
<td align="char" char=".">23</td>
<td align="char" char=".">46</td>
<td rowspan="2" align="char" char=".">0.5078</td>
<td align="char" char=".">22</td>
<td align="char" char=".">47</td>
<td rowspan="2" align="char" char=".">0.6315</td>
<td align="char" char=".">33</td>
<td align="char" char=".">36</td>
<td rowspan="2" align="char" char=".">0.3135</td>
</tr>
<tr>
<td align="center">&#x3e;7</td>
<td align="char" char=".">71</td>
<td align="char" char=".">20</td>
<td align="char" char=".">51</td>
<td align="char" char=".">20</td>
<td align="char" char=".">51</td>
<td align="char" char=".">40</td>
<td align="char" char=".">31</td>
</tr>
<tr>
<td rowspan="2" align="left">CA153 (U/ml)</td>
<td align="center">&#x2264;25</td>
<td align="char" char=".">11</td>
<td align="char" char=".">5</td>
<td align="char" char=".">6</td>
<td rowspan="2" align="char" char=".">0.3095</td>
<td align="char" char=".">3</td>
<td align="char" char=".">8</td>
<td rowspan="2" align="char" char=".">&#x3e;0.9999</td>
<td align="char" char=".">6</td>
<td align="char" char=".">5</td>
<td rowspan="2" align="char" char=".">0.9267</td>
</tr>
<tr>
<td align="center">&#x3e;25</td>
<td align="char" char=".">41</td>
<td align="char" char=".">12</td>
<td align="char" char=".">29</td>
<td align="char" char=".">10</td>
<td align="char" char=".">31</td>
<td align="char" char=".">23</td>
<td align="char" char=".">18</td>
</tr>
<tr>
<td rowspan="2" align="left">AFP (U/ml)</td>
<td align="center">&#x2264;25</td>
<td align="char" char=".">130</td>
<td align="char" char=".">40</td>
<td align="char" char=".">90</td>
<td rowspan="2" align="char" char=".">&#x3e;0.9999</td>
<td align="char" char=".">40</td>
<td align="char" char=".">90</td>
<td rowspan="2" align="char" char=".">&#x3e;0.9999</td>
<td align="char" char=".">66</td>
<td align="char" char=".">64</td>
<td rowspan="2" align="char" char=".">&#x3e;0.9999</td>
</tr>
<tr>
<td align="center">&#x3e;25</td>
<td align="char" char=".">1</td>
<td align="char" char=".">0</td>
<td align="char" char=".">1</td>
<td align="char" char=".">0</td>
<td align="char" char=".">1</td>
<td align="char" char=".">1</td>
<td align="char" char=".">0</td>
</tr>
<tr>
<td rowspan="2" align="left">CEA (U/ml)</td>
<td align="center">&#x2264;5</td>
<td align="char" char=".">117</td>
<td align="char" char=".">35</td>
<td align="char" char=".">82</td>
<td rowspan="2" align="char" char=".">0.8534</td>
<td align="char" char=".">34</td>
<td align="char" char=".">83</td>
<td rowspan="2" align="char" char=".">0.1893</td>
<td align="char" char=".">61</td>
<td align="char" char=".">56</td>
<td rowspan="2" align="char" char=".">0.5433</td>
</tr>
<tr>
<td align="center">&#x3e;5</td>
<td align="char" char=".">18</td>
<td align="char" char=".">5</td>
<td align="char" char=".">13</td>
<td align="char" char=".">8</td>
<td align="char" char=".">10</td>
<td align="char" char=".">8</td>
<td align="char" char=".">10</td>
</tr>
<tr>
<td rowspan="2" align="left">HE4 (U/ml)</td>
<td align="center">&#x2264;140</td>
<td align="char" char=".">30</td>
<td align="char" char=".">8</td>
<td align="char" char=".">22</td>
<td rowspan="2" align="char" char=".">0.6835</td>
<td align="char" char=".">9</td>
<td align="char" char=".">21</td>
<td rowspan="2" align="char" char=".">0.5101</td>
<td align="char" char=".">17</td>
<td align="char" char=".">13</td>
<td rowspan="2" align="char" char=".">0.2746</td>
</tr>
<tr>
<td align="center">&#x3e;140</td>
<td align="char" char=".">65</td>
<td align="char" char=".">20</td>
<td align="char" char=".">45</td>
<td align="char" char=".">24</td>
<td align="char" char=".">41</td>
<td align="char" char=".">29</td>
<td align="char" char=".">36</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ACTC1, actin alpha cardiac muscle 1; FIGO, International Federation of Gynecology and Obstetrics; GRK5, G protein-coupled receptor kinase 5. Bold values indicate the significant differences.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-5">
<title>Correlation Between GRK5 and ACTC1 Expression</title>
<p>To explore the relationship between GRK5 and ACTC1, Spearman correlation and &#x3c7;2 tests were used for analysis, and the results showed that there is a statistical significance between them (<italic>p</italic>&#x20;&#x3d; 0.0236) (<xref ref-type="table" rid="T3">Table&#x20;3</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Correlation between GRK5 and ACTC1 expression.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">GRK5</th>
<th colspan="2" align="center">ACTC1</th>
<th rowspan="2" align="center">Spearman&#x2019;s R</th>
<th rowspan="2" align="center">
<bold>&#x3c7;2</bold>
</th>
<th rowspan="2" align="center">
<italic>p</italic>
</th>
</tr>
<tr>
<th align="center">High</th>
<th align="center">Low</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">high</td>
<td align="char" char=".">88</td>
<td align="char" char=".">30</td>
<td rowspan="2" align="char" char=".">0.173</td>
<td rowspan="2" align="char" char=".">5.122</td>
<td rowspan="2" align="char" char=".">0.0236</td>
</tr>
<tr>
<td align="left">Low</td>
<td align="char" char=".">31</td>
<td align="char" char=".">23</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ACTC1, actin alpha cardiac muscle 1; GRK5, G protein-coupled receptor kinase 5</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-6">
<title>GRK5 mRNA Was Positively Correlated With ACTC1 mRNA</title>
<p>Further, we assessed the correlation between GRK5 and ACTC1 mRNA expression. Using Pearson correlation analysis, we found that GRK5 was positively correlated with ACTC1 (<italic>r</italic>&#x20;&#x3d; 0.8174, <italic>p</italic>&#x20;&#x3d; 0.0001) (<xref ref-type="fig" rid="F4">Figure&#x20;4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Pearson correlation analysis showing the positive correlation of GRK5 mRNA and ACTC1 mRNA.</p>
</caption>
<graphic xlink:href="fmolb-08-785922-g004.tif"/>
</fig>
</sec>
<sec id="s3-7">
<title>Co-Expression of GRK5&#x2b;/ACTC1&#x2b; Was a Useful Independent Prognostic Predictor of Epithelial Ovarian Cancer</title>
<p>Furthermore, we also assessed the prognostic value of GRK5, ACTC1, and GRK5/ACTC1&#x20;co-expression in EOC patients. In a univariate Cox model analysis, GRK5, ACTC1, and GRK5/ACTC1&#x20;co-expression; intestinal metastasis; postoperative chemotherapy; platinum resistance; and hyperthermic intraperitoneal chemotherapy (HIPEC) were significant prognostic factors (<xref ref-type="table" rid="T4">Table&#x20;4</xref>). Moreover, in a multivariate Cox regression model, we found that GRK5&#x2b;/ACTC1&#x2b; co-expression, intestinal metastasis, postoperative chemotherapy, platinum resistance, and HIPEC were indeed independent prognostic factors of EOC (<xref ref-type="table" rid="T4">Table&#x20;4</xref>), but GRK5 expression and ACTC1 expression were no longer significant.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Cox regression univariate and multivariate analyses of prognostic factors in EOC.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Variable</th>
<th colspan="4" align="center">Univariate analysis</th>
<th colspan="3" align="center">Multivariate analysis</th>
</tr>
<tr>
<th align="center">Number of patients</th>
<th align="center">
<italic>p</italic>
</th>
<th align="center">Exp(B)/OR</th>
<th align="center">95% confidence interval</th>
<th align="center">
<italic>p</italic>
</th>
<th align="center">Hazard ratios</th>
<th align="center">95% confidence interval</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">GRK5</td>
<td align="left"/>
<td rowspan="3" align="char" char=".">0.026</td>
<td rowspan="3" align="char" char=".">1.427</td>
<td rowspan="3" align="char" char="ndash">1.044&#x2013;1.951</td>
<td rowspan="3" align="char" char=".">0.967</td>
<td rowspan="3" align="center">-</td>
<td rowspan="3" align="center">-</td>
</tr>
<tr>
<td align="left">High expression</td>
<td align="char" char=".">118</td>
</tr>
<tr>
<td align="left">Low expression</td>
<td align="char" char=".">54</td>
</tr>
<tr>
<td align="left">ACTC1</td>
<td align="left"/>
<td rowspan="3" align="char" char=".">0.010</td>
<td rowspan="3" align="char" char=".">1.729</td>
<td rowspan="3" align="char" char="ndash">1.239&#x2013;2.411</td>
<td rowspan="3" align="char" char=".">0.482</td>
<td rowspan="3" align="center">-</td>
<td rowspan="3" align="center">-</td>
</tr>
<tr>
<td align="left">High expression</td>
<td align="char" char=".">119</td>
</tr>
<tr>
<td align="left">Low expression</td>
<td align="char" char=".">53</td>
</tr>
<tr>
<td align="left">
<bold>Co-expression of GRK5/ACTC1</bold>
</td>
<td align="left"/>
<td rowspan="3" align="char" char=".">0.003</td>
<td rowspan="3" align="char" char=".">0.399</td>
<td rowspan="3" align="char" char="ndash">0.218&#x2013;0.730</td>
<td rowspan="3" align="char" char=".">
<bold>0.011</bold>
</td>
<td rowspan="3" align="char" char=".">
<bold>0.425</bold>
</td>
<td rowspan="3" align="char" char="ndash">0.220&#x2013;0.821</td>
</tr>
<tr>
<td align="left">Others</td>
<td align="char" char=".">84</td>
</tr>
<tr>
<td align="left">GRK5&#x2b;/ACTC1&#x2b;</td>
<td align="char" char=".">88</td>
</tr>
<tr>
<td align="left">Intestinal metastasis</td>
<td align="left"/>
<td rowspan="3" align="char" char=".">0.016</td>
<td rowspan="3" align="char" char=".">2.110</td>
<td rowspan="3" align="char" char="ndash">1.147&#x2013;3.882</td>
<td rowspan="3" align="char" char=".">
<bold>0.010</bold>
</td>
<td rowspan="3" align="char" char=".">
<bold>2.515</bold>
</td>
<td rowspan="3" align="char" char="ndash">1.249&#x2013;5.063</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="char" char=".">79</td>
</tr>
<tr>
<td align="left">No</td>
<td align="char" char=".">93</td>
</tr>
<tr>
<td align="left">Postoperative chemotherapy</td>
<td align="left"/>
<td rowspan="3" align="char" char=".">0.035</td>
<td rowspan="3" align="char" char=".">0.192</td>
<td rowspan="3" align="char" char="ndash">0.041&#x2013;0.891</td>
<td rowspan="3" align="char" char=".">
<bold>0.006</bold>
</td>
<td rowspan="3" align="char" char=".">
<bold>0.095</bold>
</td>
<td rowspan="3" align="char" char="ndash">0.018&#x2013;0.501</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="char" char=".">164</td>
</tr>
<tr>
<td align="left">No</td>
<td align="char" char=".">6</td>
</tr>
<tr>
<td align="left">Platinum resistance</td>
<td align="left"/>
<td rowspan="3" align="char" char=".">0.040</td>
<td rowspan="3" align="char" char=".">0.285</td>
<td rowspan="3" align="char" char="ndash">0.086&#x2013;0.945</td>
<td rowspan="3" align="char" char=".">
<bold>0.001</bold>
</td>
<td rowspan="3" align="char" char=".">
<bold>0.021</bold>
</td>
<td rowspan="3" align="char" char="ndash">0.069&#x2013;0.802</td>
</tr>
<tr>
<td align="left">No</td>
<td align="char" char=".">164</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="char" char=".">5</td>
</tr>
<tr>
<td align="left">
<bold>HIPEC</bold>
</td>
<td align="left"/>
<td rowspan="3" align="char" char=".">0.014</td>
<td rowspan="3" align="char" char=".">16.913</td>
<td rowspan="3" align="char" char="ndash">1.759&#x2013;162.606</td>
<td rowspan="3" align="char" char=".">
<bold>0.021</bold>
</td>
<td rowspan="3" align="char" char=".">
<bold>84.504</bold>
</td>
<td rowspan="3" align="char" char="ndash">6.866&#x2013;1,040.019</td>
</tr>
<tr>
<td align="left">No</td>
<td align="char" char=".">152</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="char" char=".">19</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ACTC1, actin alpha cardiac muscle 1; GRK5, G protein-coupled receptor kinase 5; HIPEC, hyperthermic intraperitoneal chemotherapy. Bold values indicate the significant differences.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussions</title>
<p>In our previous study, we found that MYH10 is an independent prognostic biomarker of EOC (in print). Furthermore, we used the Biogrid website to predict the candidate interacting proteins of MYH10, and we found some candidate proteins that may closely correlate with MYH10, such as MYL9 (<xref ref-type="bibr" rid="B5">Deng et&#x20;al., 2021</xref>), MACF1 (<xref ref-type="bibr" rid="B21">Liu et&#x20;al., 2021</xref>), MYH9 (<xref ref-type="bibr" rid="B20">Liu et&#x20;al., 2019b</xref>), and so on. In the further study, we found that the co-expression of GRK5 and ACTC1 is indeed independent prognostic biomarkers, which indicates their important role in EOC. GRK5 plays oncogenic roles in GBM, prostate, pancreas, renal cell, non-small-cell lung, and breast cancers (<xref ref-type="bibr" rid="B11">Kim et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B8">Gambardella et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B12">Komolov et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B9">Jiang et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B30">Yang et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B1">Alshabi et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B36">Zhao et&#x20;al., 2019a</xref>; <xref ref-type="bibr" rid="B33">Zhao et&#x20;al., 2019b</xref>; <xref ref-type="bibr" rid="B14">Lagman et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B26">Sommer et&#x20;al., 2019</xref>). It is clear (<xref ref-type="bibr" rid="B8">Gambardella et&#x20;al., 2016</xref>) that when GRK5 is localized at the plasma membrane, it often exerts an anti-tumoral effect, attenuating growth-associated signaling pathways through its ability to desensitize GPCR and non-GPCR receptors. However, when GRK5 moves to cytosol or nucleus, it often promotes tumor growth acting on nonreceptor substrates. Consistent with previous findings (<xref ref-type="bibr" rid="B11">Kim et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B9">Jiang et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B1">Alshabi et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B36">Zhao et&#x20;al., 2019a</xref>), in the present study, our results showed that GRK5 was upregulated in paraffin-embedded and&#x20;fresh EOC tissues, and it is located mainly at the nucleus, which suggested that GRK5 may play a candidate oncogenic role in EOC. Further, Kaplan&#x2013;Meier survival analysis showed that GRK5 high expression was associated with shorter OS, but not RFS, which is consistent with the previous reports (<xref ref-type="bibr" rid="B9">Jiang et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B36">Zhao et&#x20;al., 2019a</xref>) that GRK5&#x20;high-expression NSCLC or renal cell carcinoma patients had a worse OS rate than the low-expression patients. Furthermore, GRK5 expression was associated with the following clinicopathological parameters, such as: FIGO stage, intraperitoneal metastasis, intestinal metastasis, differentiation grade, and ascites with tumor cells, which showed that GRK5 high expression was closely related with the development and metastasis of&#x20;EOC.</p>
<p>Similar to GRK5, ACTC1 is also a cardiac-related gene (<xref ref-type="bibr" rid="B13">Kondrashov et&#x20;al., 2018</xref>), and both of them are the candidate interacting proteins of MYH10. ACTC1 encodes the cardiac form of actin (<xref ref-type="bibr" rid="B13">Kondrashov et&#x20;al., 2018</xref>). Ohtaki et&#x20;al. reported (<xref ref-type="bibr" rid="B25">Ohtaki et&#x20;al., 2017</xref>) that ACTC1 served as a clinical marker to detect migration and poor prognosis in GBM patients. In addition, our results also demonstrated that ACTC1 was upregulated in paraffin-embedded and fresh EOC tissues compared with that in paratumor tissues, which suggested that ACTC1 played a candidate oncogenic role in EOC. This is consistent with the role of ACTC1 (<xref ref-type="bibr" rid="B10">Kim et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B4">da Rocha et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B28">Wanibuchi et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B3">Cheung et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B17">Li et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B25">Ohtaki et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B32">Zaravinos et&#x20;al., 2011</xref>) in GBM, colon, prostate, oral squamous cell and breast cancers. Further, Kaplan&#x2013;Meier survival analysis showed that ACTC1 high expression was closely associated with shorter OS and RFS, which is consistent with the previous study of ACTC1 in GBM. Furthermore, ACTC1 expression was associated with clinicopathological parameters of EOC, such as: FIGO stage, lymph node metastasis, intraperitoneal metastasis, intestinal metastasis, and vital status, which showed that ACTC1 was also closely associated with the development and metastasis of&#x20;EOC.</p>
<p>Importantly, ACTC1 and GRK5 are both cardiac-related genes. In this study, our results showed that ACTC1 mRNA and protein expression were both positively correlated with GRK5 mRNA and protein expression, and Kaplan&#x2013;Meier survival analysis showed that GRK5&#x2b;/ACTC1&#x2b; was closely associated with poor OS and RFS. Multivariate Cox regression analysis showed that GRK5&#x2b;/ACTC1&#x2b; co-expression was an independent prognostic factor rather than GRK5 or ACTC1 alone. Moreover, GRK5-/ACTC1&#x2b; patients had a worse survival than GRK5&#x2b;/ACTC1- patients, which suggested that ACTC1 was more closely correlated with survival than GRK5. In addition, GRK5/ACTC1&#x20;co-expression was associated with the following factors: histology, FIGO stage, lymph node metastasis, intraperitoneal metastasis, intestinal metastasis, vital status, differentiation grade, and ascites with tumor cells. All of these results suggested that the combination of GRK5 and ACTC1 could predict the development, progression, metastasis, and prognosis of EOC more precisely. In future, we need more <italic>in vivo</italic> (such as the subcutaneous xenograft tumor studies and the lung xenograft tumor studies, and so on) and <italic>in&#x20;vitro</italic> research to demonstrate its role and molecular mechanism in development, progression, metastasis, and prognosis of&#x20;EOC.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>Taken together, the results of the present study suggest that GRK5 and ACTC1 are both upregulated in EOC, and GRK5&#x2b;/ACTC1&#x2b; co-expression could predict the development, metastasis, and prognosis of EOC. The co-expression of GRK5&#x2b;/ACTC1&#x2b; can be recommended as prognostic-predicting biomarkers in EOC, and it may provide an important value in the clinical therapy and supervision of&#x20;EOC.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of the Integrated Hospital of Traditional Chinese Medicine, Southern Medical University. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>Conception: JL, PL and CC Interpretation or analysis of data: LL and JL Preparation of the manuscript: LL and JL Revision for important intellectual content: YN and ZL Supervision:&#x20;CC.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This work was supported by the Guangdong Basic and Applied Basic Research Foundation (grant no. 2020A1515110030), the Natural Science Foundation of Guangdong Province (grant no. 2020A1515010284), the President funds of Integrated Hospital of&#x20;Traditional Chinese Medicine, Southern Medical University (No. 1201902001; No. 1201901002), Guangzhou science and Technology Program (grant no. 202102080060).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of Interest</title>
<p>The reviewer YL declared a shared affiliation with one of the authors YN at time of review.</p>
<p>The remaining 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 sec-type="disclaimer" id="s11">
<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>
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