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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">OR</journal-id>
<journal-title-group>
<journal-title>Oncology Reports</journal-title>
</journal-title-group>
<issn pub-type="ppub">1021-335X</issn>
<issn pub-type="epub">1791-2431</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/or.2018.6541</article-id>
<article-id pub-id-type="publisher-id">or-40-03-1467</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Combined assessment of low PGRMC1/positive ATP1A1 levels has enhanced prognostic value for renal cell carcinoma</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>He</surname><given-names>Yu</given-names></name>
<xref rid="af1-or-40-03-1467" ref-type="aff">1</xref>
<xref rid="fn1-or-40-03-1467" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Peng</given-names></name>
<xref rid="af2-or-40-03-1467" ref-type="aff">2</xref>
<xref rid="fn1-or-40-03-1467" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Dan</given-names></name>
<xref rid="af1-or-40-03-1467" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Xia</surname><given-names>Zijing</given-names></name>
<xref rid="af3-or-40-03-1467" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Wang</surname><given-names>Xixi</given-names></name>
<xref rid="af1-or-40-03-1467" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Deng</surname><given-names>Shi</given-names></name>
<xref rid="af2-or-40-03-1467" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Haocheng</given-names></name>
<xref rid="af4-or-40-03-1467" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author"><name><surname>Zhu</surname><given-names>Hongxia</given-names></name>
<xref rid="af5-or-40-03-1467" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author"><name><surname>Xu</surname><given-names>Ningzhi</given-names></name>
<xref rid="af1-or-40-03-1467" ref-type="aff">1</xref>
<xref rid="af5-or-40-03-1467" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author"><name><surname>Liang</surname><given-names>Shufang</given-names></name>
<xref rid="af1-or-40-03-1467" ref-type="aff">1</xref>
<xref rid="c1-or-40-03-1467" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-or-40-03-1467"><label>1</label>State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, Sichuan 610041, P.R. China</aff>
<aff id="af2-or-40-03-1467"><label>2</label>Department of Urinary Surgery, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, Sichuan 610041, P.R. China</aff>
<aff id="af3-or-40-03-1467"><label>3</label>Department of Nephrology, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China</aff>
<aff id="af4-or-40-03-1467"><label>4</label>Department of Mathematics and Statistics, University of Calgary, Calgary, AB T2N 1N4, Canada</aff>
<aff id="af5-or-40-03-1467"><label>5</label>Laboratory of Cell and Molecular Biology and State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences, Beijing 100021, P.R. China</aff>
<author-notes>
<corresp id="c1-or-40-03-1467"><italic>Correspondence to</italic>: Dr Shufang Liang, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center for Biotherapy, 17 Section 3, People&#x0027;s South Road, Chengdu, Sichuan 610041, P.R. China, E-mail: <email>zizi2006@scu.edu.cn</email></corresp>
<fn id="fn1-or-40-03-1467"><label>&#x002A;</label><p>Contributed equally</p></fn>
</author-notes>
<pub-date pub-type="ppub"><month>09</month><year>2018</year></pub-date>
<pub-date pub-type="epub"><day>02</day><month>07</month><year>2018</year></pub-date>
<volume>40</volume>
<issue>3</issue>
<fpage>1467</fpage>
<lpage>1476</lpage>
<history>
<date date-type="received"><day>11</day><month>01</month><year>2018</year></date>
<date date-type="accepted"><day>12</day><month>06</month><year>2018</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2018, Spandidos Publications</copyright-statement>
<copyright-year>2018</copyright-year>
</permissions>
<abstract>
<p>Progesterone receptor membrane component 1 (PGRMC1) and Na<sup>&#x002B;</sup>/K<sup>&#x002B;</sup>-ATPase &#x03B1;1 subunit (ATP1A1) are two proteins associated with the clinical prognosis of renal cell carcinoma (RCC) and RCC cell proliferation. However, the two proteins have been previously studied independently, and their combined influence on the clinical outcome of RCC remains unclear. The present study suggests that the combined expression levels of PGRMC1 and ATP1A1 (PGRMC1/ATP1A1) are associated with the clinical prognosis of RCC patients. RCC patients with low PGRMC1/positive ATP1A1 levels exhibited the best overall survival (OS) outcomes (103.08&#x00B1;1.85 months). The high PGRMC1/negative ATP1A1 group demonstrated the worst prognosis (73.1&#x00B1;8.87 months). The low PGRMC1/positive ATP1A1 group had the highest 7-year OS rate (92.3&#x0025;). The high PGRMC1/negative ATP1A1 group had the lowest 7-year OS rate (46.7&#x0025;). Although PGRMC1 and ATP1A1 both act on AKT phosphorylation in RCC cells, their expression levels are independent of each other. Moreover, the synergistic suppressive roles of PGRMC1 downregulation combined with ATP1A1 upregulation exhibit more efficient tumor inhibition potentials on RCC cells. Therefore, combined assessment of the two biomarkers (PGRMC1/ATP1A1) shows enhanced prognostic ability for RCC.</p>
</abstract>
<kwd-group>
<kwd>progesterone receptor membrane component 1</kwd>
<kwd>Na<sup>&#x002B;</sup>/K<sup>&#x002B;</sup>-ATPase &#x03B1;1 subunit</kwd>
<kwd>combined evaluation</kwd>
<kwd>renal cell carcinoma</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Kidney cancer is liable for an estimated 295,000 newly diagnosed cases and 134,000 related deaths globally every year (<xref rid="b1-or-40-03-1467" ref-type="bibr">1</xref>). Renal cell carcinoma (RCC) accounts for over 90&#x0025; of all kidney cancer cases and is characterized by poor patient prognosis. Approximately 65&#x0025; of RCC patients have localized tumors, which can be successfully treated by surgery, whereas 35&#x0025; of RCC patients incur tumor relapse after surgery (<xref rid="b2-or-40-03-1467" ref-type="bibr">2</xref>). RCC is relatively resistant to radiotherapy or chemotherapy. The existing molecular biomarkers are not effective for RCC diagnosis and prognosis. Therefore, it is critical to explore novel biomarkers.</p>
<p>Progesterone receptor membrane component 1 (PGRMC1) is a member of the membrane-associated progesterone receptor protein family. PGRMC1 is commonly overexpressed to promote tumor growth in multiple cancers (<xref rid="b3-or-40-03-1467" ref-type="bibr">3</xref>), including ovarian (<xref rid="b4-or-40-03-1467" ref-type="bibr">4</xref>), endometrial (<xref rid="b5-or-40-03-1467" ref-type="bibr">5</xref>), breast (<xref rid="b6-or-40-03-1467" ref-type="bibr">6</xref>), lung (<xref rid="b7-or-40-03-1467" ref-type="bibr">7</xref>) and colorectal cancer (<xref rid="b8-or-40-03-1467" ref-type="bibr">8</xref>). On the other hand, Na<sup>&#x002B;</sup>/K<sup>&#x002B;</sup>-ATPase &#x03B1;1 subunit (ATP1A1), a subunit of Na<sup>&#x002B;</sup>/K<sup>&#x002B;</sup>-ATPase, seems to have dual roles in cancer progression. For example, a high level of ATP1A1 expression presents in many cancer types (<xref rid="b9-or-40-03-1467" ref-type="bibr">9</xref>&#x2013;<xref rid="b13-or-40-03-1467" ref-type="bibr">13</xref>), while ATP1A1 is decreased in prostate carcinoma and colorectal cancer (<xref rid="b14-or-40-03-1467" ref-type="bibr">14</xref>&#x2013;<xref rid="b16-or-40-03-1467" ref-type="bibr">16</xref>).</p>
<p>Our previous studies have demonstrated that PGRMC1 and ATP1A1 are two novel potential biomarkers for RCC (<xref rid="b17-or-40-03-1467" ref-type="bibr">17</xref>,<xref rid="b18-or-40-03-1467" ref-type="bibr">18</xref>). PGRMC1 is increased in RCC tumor tissues compared with that noted in autologous paracancerous tissues. The upregulation has a positive association with RCC malignancy and poor patient survival outcome (<xref rid="b17-or-40-03-1467" ref-type="bibr">17</xref>). ATP1A1 is significantly downregulated in RCC, and ATP1A1-positive RCC patients show a better overall survival (OS) than ATP1A1-negative patients (<xref rid="b18-or-40-03-1467" ref-type="bibr">18</xref>). However, the combined influences of the two proteins have not been investigated in RCC. Since multiple biomarkers often outperform a single biomarker in terms of prognostic ability (<xref rid="b19-or-40-03-1467" ref-type="bibr">19</xref>&#x2013;<xref rid="b25-or-40-03-1467" ref-type="bibr">25</xref>), we jointly analyzed the association between the two proteins and the prognosis of RCC patients.</p>
<p>Our study demonstrated that RCC patients with low PGRMC1 and positive ATP1A1 levels have the best overall survival, which was significantly longer than the other groups. We also confirmed that elevated PGRMC1 and downregulated ATP1A1 both activate AKT phosphorylation to enhance RCC cell growth and migration. The combined regulation of PGRMC1 downregulation and ATP1A1 upregulation exhibited synergistic tumor inhibitory effects on RCC cells. In general, the combined assessment of two biomarkers (PGRMC1 and ATP1A1) exhibits enhanced prognostic value for RCC.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Cell lines</title>
<p>Renal cancer cells, OS-RC-2 and 786-O, were purchased from the American Type Culture Collection (ATCC; Manassas, VA, USA). Cells were cultured in RPMI-1640 medium (Corning Inc., Corning, NY, USA) as described in our previous studies (<xref rid="b17-or-40-03-1467" ref-type="bibr">17</xref>,<xref rid="b18-or-40-03-1467" ref-type="bibr">18</xref>).</p>
</sec>
<sec>
<title>Tissue samples</title>
<p>All of the following manipulations were performed in full accordance with prior review, consent and approval provided by the Institutional Ethics Committee of the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University. Eighty pairs of clear cell renal cell carcinoma tissues (RCTs) and their corresponding autologous paracancerous kidney tissues (PKTs) were obtained from RCC patients who underwent surgery at West China Hospital, Sichuan University (Chengdu, China) from July 2006 to February 2008. These patients included 44 men and 36 women. The average age was 59 years (range age, 29&#x2013;82 years) and all patients did not receive radiotherapy, chemotherapy and immunotherapy prior to surgery. All tissues were identified through pathologic biopsy, and the tissues were frozen in liquid nitrogen. The RCC patient demographic and clinical information, including age, gender and histological type of tumor differentiation (<xref rid="b26-or-40-03-1467" ref-type="bibr">26</xref>), was collected following provision of informed consent. The demographic and clinical information of the 80 RCC patients was presented in our previous study (<xref rid="b18-or-40-03-1467" ref-type="bibr">18</xref>). Follow-up information was obtained from review of the medical records of the patients.</p>
</sec>
<sec>
<title>Expression plasmids, siRNAs and cell transfection</title>
<p>The expression plasmids pFlag-PGRMC1 and pYR-ATP1A1 were constructed for exogenous overexpression of PGRMC1 and ATP1A1 in RCC OS-RC-2 and 786-O cells (<xref rid="b17-or-40-03-1467" ref-type="bibr">17</xref>,<xref rid="b18-or-40-03-1467" ref-type="bibr">18</xref>). After RCC cells were seeded on a 6-well plate for culture overnight, cells were transiently transfected with 2.5 &#x00B5;g pFlag-PGRMC1 or pYR-ATP1A1 plasmids per well using Invitrogen&#x2122; Lipofectamine 2000 (Thermo Fisher Scientific, Inc., Waltham, MA, USA).</p>
<p>The siRNA for PGRMC1 (siPGRMC1) was synthesized by the RiboBio Co. (RiboBio, Guangzhou, China). The PGRMC1-specific siRNA sequences (siPGRMC1) were designed as 5&#x2032;-CTGGGAGTCTCAGTTCACT-3&#x2032;, and negative control oligonucleotides (siNC) were 5&#x2032;-UUCUCCGAACGUGUCACGU-3&#x2032;. The OS-RC-2 and 786-O cells were seeded on a 6-well plate for incubation with 50 nM siPGRMC1 or siNC per well using Invitrogen&#x2122; Lipofectamine 2000.</p>
</sec>
<sec>
<title>Western blot analysis</title>
<p>To detect the protein expression level, 60&#x2013;80 &#x00B5;g proteins, extracted from cell pellets or tissues, were separated on a 10&#x0025; SDS-PAGE gel to test by western blotting. The primary antibodies included PGRMC1 (1:500; cat. no. ab48012; Abcam, Cambridge, UK), ATP1A1 (1:200; cat. no. ab2872; Abcam), GAPDH (1:1,000; cat. no. sc-365062; Santa Cruz Biotechnology, Inc., Dallas, TX, USA), AKT (1:500; cat. no. 4961; Cell Signaling Technology, Inc., Danvers, MA, USA) and phosphorylated AKT (p-AKT, 1:500; cat. no. ab18206; Abcam). The HRP-conjugated secondary antibodies, including goat anti-rabbit (cat. no. ZB-2301; Beijing Zhongshan Golden Bridge Biotechnology, Co., Ltd., Beijing, China) and goat anti-mouse (cat. no. ZB-2305; Beijing Zhongshan Golden Bridge Biotechnology), were diluted at 1:10,000 for incubation with the PVDF membrane at 37&#x00B0;C for 1 h. Final detection was performed with western blot analysis reagent ECL (Amersham Biosciences; GE Healthcare, Chicago, IL, USA).</p>
</sec>
<sec>
<title>Immunohistochemistry</title>
<p>Eighty pairs of RCTs and their corresponding PKTs were paraffin-embedded and cut into sections with 5-&#x00B5;m thickness for immunohistochemistry (IHC) analysis according to our previous procedures (<xref rid="b27-or-40-03-1467" ref-type="bibr">27</xref>). Tissue sections were incubated with the primary antibody of ATP1A1 (1:400; cat. no. ab2872; Abcam), PGRMC1 (1:1,000; cat. no. ab48012; Abcam) and p-AKT (1:500; cat. no. ab18206; Abcam) at 37&#x00B0;C for 2 h followed by quenching the endogenous peroxidase activity and antigen retrieval. Subsequently, the sections were incubated with the secondary antibody, biotinylated anti-goat IgG (cat. no. ZB-2306; ZSGB-BIO; OriGene Technologies, Inc., Beijing, China) at 37&#x00B0;C for 40 min, following reacting with 3,3&#x2032;-diaminobenzidine substrate solution (Dako Cytomation GmbH, Shanghai, China) and counterstaining with hematoxylin. Five independent fields at &#x00D7;200 magnification for positive cells were chosen to evaluate the immunostaining intensity and percentage. The staining intensity was defined as follows: 0 (negative), 1 (weak), 2 (moderate) and 3 (strong). The staining percentage was defined as follows: 0 (negative), 1 (1&#x2013;25&#x0025;), 2 (26&#x2013;50&#x0025;), 3 (51&#x2013;75&#x0025;) and 4 (76&#x2013;100&#x0025;). The IHC scores for each tissue sample, ranging from 0 to 12, were measured as immunostaining intensity multiplied by the percentage of positive cells (<xref rid="b28-or-40-03-1467" ref-type="bibr">28</xref>,<xref rid="b29-or-40-03-1467" ref-type="bibr">29</xref>). The expression levels of PGRMC1 and ATP1A1 were determined according to the final IHC scores (<xref rid="b17-or-40-03-1467" ref-type="bibr">17</xref>,<xref rid="b18-or-40-03-1467" ref-type="bibr">18</xref>). Similarly, the p-AKT level in tissues was defined as low (scores &#x003C;3) and high expression (scores 3&#x2013;12).</p>
</sec>
<sec>
<title>Cell viability</title>
<p>Cell viability was measured by CCK-8 assay as previously described (<xref rid="b30-or-40-03-1467" ref-type="bibr">30</xref>). The OS-RC-2 and 786-O cells were seeded on a 6-well plate and incubated with 50 nM siPGRMC1 or siNC per well. On the first day after siPGRMC1 treatment for RCC cells, cells were transfected with 2.5 &#x00B5;g pYR-ATP1A1 plasmids to further observe cell growth (<xref rid="b31-or-40-03-1467" ref-type="bibr">31</xref>). After 24 h, 5&#x00D7;10<sup>3</sup> cells/well were seeded in a 96-well plate to culture for 24, 48, 72 and 96 h. Then, 10&#x0025; CCK-8 reagent (ZP328-3; Zoman Biotechnology, Beijing, China) was added to incubate for another 2 h at 37&#x00B0;C to assess optical density (OD) values at 450 nm. Three independent experiments were performed.</p>
</sec>
<sec>
<title>Cell migration</title>
<p>Cell migration was detected within a 24-well Transwell chamber system (PIEP12R48; EMD Millipore, Billerica, MA, USA) (<xref rid="b28-or-40-03-1467" ref-type="bibr">28</xref>&#x2013;<xref rid="b30-or-40-03-1467" ref-type="bibr">30</xref>). The OS-RC-2 and 786-O cells were seeded on a 6-well plate for incubation with 50 nM siPGRMC1 or siNC per well. After siPGRMC1 treatment for 24 h, cells were transfected with 2.5 &#x00B5;g pYR-ATP1A1 plasmids to culture for 48 h. Then, 8&#x00D7;10<sup>3</sup> cells in 500 &#x00B5;l serum-free RPMI-1640 medium were seeded in the upper chamber of the &#x03A4;ranswell apparatus, and 500 &#x00B5;l RPMI-1640 medium with 10&#x0025; FBS was supplemented in the bottom chamber. Migratory cells were fixed by methanol and stained with crystal violet. The migration cells were counted in five visual fields randomly selected from each membrane under an Olympus inverted microscope (Olympus Corp., Lake Success, NY, USA). Three independent experiments were performed. The data of experimental group and control group were input for statistical analysis.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>RCC patients were divided into four groups based on PGRMC1 and ATP1A1 expression levels, including a high PGRMC1/negative ATP1A1 group (n=15), low PGRMC1/positive ATP1A1 group (n=16), low PGRMC1/negative ATP1A1 group (n=18) and high PGRMC1/positive ATP1A1 group (n=31). OS outcomes were evaluated by the Kaplan-Meier survival analysis method, with the log-rank test to compare groups. The Student&#x0027;s t test and post hoc test with ANOVA were used to compare the factors across groups. P&#x003C;0.05 was considered to indicate a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Expression levels of PGRMC and ATP1A1 in RCC</title>
<p>The protein expression levels of PGRMC1 and ATP1A1 are shown in three randomly selected RCTs and their counterparts (<xref rid="f1-or-40-03-1467" ref-type="fig">Fig. 1A</xref>). PGRMC1 was overexpressed in RCTs when compared with their corresponding PKTs, whereas ATP1A1 was largely decreased. We further detected expression levels of these two proteins in 80 pairs of RCTs and PKTs by IHC analysis (<xref rid="tI-or-40-03-1467" ref-type="table">Table I</xref>). The results demonstrated that PGRMC1 had an upregulated expression in RCTs compared with PKTs, but ATP1A1 protein was significantly downregulated (<xref rid="f1-or-40-03-1467" ref-type="fig">Fig. 1B</xref>). The average immunoreactivity score of PGRMC1 was 5.56&#x00B1;2.94 in 80 RCTs, which was higher than the average staining score 3.70&#x00B1;1.83 in 80 corresponding PKTs (P&#x003C;0.001). On the other hand, the IHC score of ATP1A1 was 1.27&#x00B1;1.85 in 80 RCTs, which was significantly lower than the average staining score 8.35&#x00B1;2.96 in 80 RCTs (P&#x003C;0.001). The IHC scores and clinical information for the RCC cases are provided in detail in <xref rid="tII-or-40-03-1467" ref-type="table">Table II</xref>.</p>
</sec>
<sec>
<title>Enhanced OS outcomes for RCC patients with low PGRMC1/positive ATP1A1 levels</title>
<p>PGRMC1 and ATP1A1 are confirmed to be two proteins associated with RCC prognosis (<xref rid="b17-or-40-03-1467" ref-type="bibr">17</xref>,<xref rid="b18-or-40-03-1467" ref-type="bibr">18</xref>). We further validated whether the combination of two biomarkers can have a more favorable prognostic performance than each biomarker alone.</p>
<p>We compared the combined clinical value of ATP1A1 and PGRMC1 with the single molecule evaluation in RCC prognosis. The Kaplan-Meier estimates showed significantly higher OS rates for the RCC patients with low PGRMC1/positive ATP1A1 than the other three groups. The individuals with low PGRMC1/positive ATP1A1 also had the longest average OS. Conversely, the patients with high PGRMC1/negative ATP1A1 had the worst average OS time (73.1&#x00B1;8.87 months, P=0.04, <xref rid="f2-or-40-03-1467" ref-type="fig">Fig. 2</xref>). The 7-year OS rate of the low PGRMC1/positive ATP1A1 group was the highest of all groups (92.3&#x0025;). It was significantly higher than those patients with high PGRMC1/negative ATP1A1 (46.7&#x0025;, <xref rid="tIII-or-40-03-1467" ref-type="table">Table III</xref>).</p>
</sec>
<sec>
<title>Elevated PGRMC1 and downregulated ATP1A1 both enhance AKT phosphorylation in RCC cells</title>
<p>PGRMC1 promotes activation of the PI3K/AKT signaling pathway (<xref rid="b4-or-40-03-1467" ref-type="bibr">4</xref>,<xref rid="b32-or-40-03-1467" ref-type="bibr">32</xref>). On the other hand, inhibitors of Na<sup>&#x002B;</sup>/K<sup>&#x002B;</sup>-ATPase can activate PI3K/AKT signaling pathways (<xref rid="b33-or-40-03-1467" ref-type="bibr">33</xref>). We confirmed that the ATP1A1-mediated Raf/MEK/ERK signaling pathway is suppressed in RCC cells (<xref rid="b18-or-40-03-1467" ref-type="bibr">18</xref>). Therefore, we hypothesized that PGRMC1 and ATP1A1 could play a combined role in RCC development via AKT phosphorylation.</p>
<p>In OS-RC-2 and 786-O cells, when PGRMC1 expression was upregulated due to a transient transfection of pFlag-PGRMC1 plasmids for 48 h, the relative level of p-AKT was also increased (<xref rid="f3-or-40-03-1467" ref-type="fig">Fig. 3A</xref>). In contrast, when PGRMC1 expression was suppressed by siRNA treatment for 48 h, the p-AKT level was correspondingly decreased (<xref rid="f3-or-40-03-1467" ref-type="fig">Fig. 3A</xref>). However, the expression level of ATP1A1 was not significantly changed in response to PGRMC1 overexpression or knockdown. On the other hand, ATP1A1 upregulation by transient pYR-ATP1A1 transfections inhibited the p-AKT level in OS-RC-2 and 786-O cells (<xref rid="f3-or-40-03-1467" ref-type="fig">Fig. 3B</xref>), and there was no significant change in PGRMC1 expression when ATP1A1 was upregulated. In general, the expression levels of PGRMC1 and ATP1A1 are independent of each other, but elevated PGRMC1 and downregulated ATP1A1 both enhanced the p-AKT level in the RCC cells.</p>
</sec>
<sec>
<title>p-AKT upregulation is associated with the poor survival of RCC patients</title>
<p>To further explore the association of the interplaying signaling molecule p-AKT by PGRMC1 and ATP1A1 in RCC development, we analyzed p-AKT expression in RCTs. The p-AKT levels were increased in RCTs compared with their corresponding PKTs by western blot analysis (<xref rid="f4-or-40-03-1467" ref-type="fig">Fig. 4A</xref>). In addition, we evaluated p-AKT expression in 80 pairs of RCTs and PKTs by IHC. The average immunoreactivity score of p-AKT was 2.61&#x00B1;0.32 in 80 RCTs, which was significantly higher than the average staining score 0.69&#x00B1;0.11 in PKTs (<xref rid="f4-or-40-03-1467" ref-type="fig">Fig. 4B</xref>). The negative, weak, moderate and strong staining patterns of p-AKT are respectively shown in RCTs and PKTs (<xref rid="f4-or-40-03-1467" ref-type="fig">Fig. 4C</xref>).</p>
<p>Furthermore, we investigated the association of p-AKT with RCC patient survival outcomes. The Kaplan-Meier method indicated RCC patients with a low p-AKT expression (n=50) had a significant higher survival rate than those patients with a high p-AKT expression (n=30) (<xref rid="f5-or-40-03-1467" ref-type="fig">Fig. 5</xref>, P=0.011).</p>
</sec>
<sec>
<title>Combined regulation of PGRMC1 downregulation and ATP1A1 upregulation efficiently inhibits cell proliferation and migration</title>
<p>We desired to know whether a therapy targeting both PGRMC1 and ATP1A1 would have a better effect <italic>in vitro</italic>. Compared with the control group, co-transfection of pYR-ATP1A1 and siPGRMC1 exerted more enhanced inhibitory effects on cell proliferation (<xref rid="f6-or-40-03-1467" ref-type="fig">Fig. 6A and B</xref>) in 786-O and OS-RC-2 cells.</p>
<p>Meanwhile, cell migration by acting on PGRMC1/ATP1A1 proteins was significantly decreased by approximately 50&#x0025; compared with targeting a single protein in the RCC cell lines (<xref rid="f6-or-40-03-1467" ref-type="fig">Fig. 6C</xref>) (P&#x003C;0.05). We measured cell migration under the condition of PGRMC1 downregulation combined with ATP1A1 upregulation. The number of migrating cells was 34 following a combined regulation of PGRMC1 downregulation and ATP1A1 upregulation in the OS-RC-2 cells (<xref rid="f6-or-40-03-1467" ref-type="fig">Fig. 6C</xref>, the right bar marked with siPGRMC1&#x002B;ATP1A1). On the other hand, the mean migrating cell number was 73 in OS-RC-2 cells following inhibition of PGRMC1 expression by siRNA, and the cell number was 62 in OS-RC-2 cells by only increasing the ATP1A1 level. A similar result was obtained in the 786-O cells. These results confirmed that the synergistic regulation of PGRMC1 downregulation along with ATP1A1 upregulation improved tumor inhibition potentials in RCC cells, which could contribute to the longer survival of RCC patients with low PGRMC1/positive ATP1A1 levels (<xref rid="f2-or-40-03-1467" ref-type="fig">Fig. 2</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>The present study demonstrated that PGRMC1 and ATP1A1 have opposite roles in regards to RCC growth. PGRMC1 is a tumor gene and ATP1A1 is a cancer suppressor (<xref rid="f7-or-40-03-1467" ref-type="fig">Fig. 7A</xref>). Although the expression levels of these two proteins are independent, elevated PGRMC1 and downregulated ATP1A1 in RCC cells can both activate the cellular p-AKT level which contributes to cell proliferation and migration (<xref rid="f7-or-40-03-1467" ref-type="fig">Fig. 7A</xref>). Thus, we focused on exploring the performance of combining ATP1A1 and PGRMC1 as a prognostic marker for RCC. RCC patients with low PGRMC1/positive ATP1A1 expression had a better OS rate (<xref rid="f2-or-40-03-1467" ref-type="fig">Fig. 2</xref>). On the contrary, a high PGRMC1/negative ATP1A1 expression predicted a worse survival outcome. Furthermore, combined gene therapy <italic>in vitro</italic> demonstrated that low PGRMC1/positive ATP1A1 exerts synergistic inhibition effects on RCC cell growth and migration by co-suppressing AKT phosphorylation (<xref rid="f7-or-40-03-1467" ref-type="fig">Fig. 7B</xref>). The activation of the PI3K-AKT signaling pathway has been shown to play an important role in many cancer types (<xref rid="b34-or-40-03-1467" ref-type="bibr">34</xref>). Several studies suggest that progesterone accumulation could promote AKT phosphorylation in breast epithelial and ovarian cancer cells (<xref rid="b4-or-40-03-1467" ref-type="bibr">4</xref>,<xref rid="b32-or-40-03-1467" ref-type="bibr">32</xref>). PGRMC1 knockdown can reduce phosphorylation of certain downstream EGFR targets, including AKT and ERK in HCT-116 cells (<xref rid="b8-or-40-03-1467" ref-type="bibr">8</xref>). For ATP1A1, Na<sup>&#x002B;</sup>/K<sup>&#x002B;</sup>-ATPase inhibitors activate PI3K/AKT signaling pathways (<xref rid="b33-or-40-03-1467" ref-type="bibr">33</xref>). Therefore, there could be indirect interactions between PGRMC1 and ATP1A1 by regulation of AKT phosphorylation. In addition, p-AKT expression was validated to be significantly higher in RCTs than that in PKTs. The Kaplan-Meier analysis indicated that RCC patients with a low p-AKT expression had a significantly higher survival rate than those patients with a high p-AKT expression.</p>
<p>Despite great improvements in surgical techniques for RCC treatment, the diagnosis and prognosis of RCC are still challenging. Thousands of proteins have been investigated as candidate cancer biomarkers. However, most of them do not have promising sensitivity and specificity for cancer prognosis. Since single biomarker may often fail to predict the survival outcomes for RCC patients, the combination of multiple biomarkers is widely discussed to improve prognosis (<xref rid="b20-or-40-03-1467" ref-type="bibr">20</xref>). For example, osteopontin combined with CD44 improved diagnostic sensitivities in non-small cell lung cancer and hepatocellular carcinoma (<xref rid="b21-or-40-03-1467" ref-type="bibr">21</xref>,<xref rid="b22-or-40-03-1467" ref-type="bibr">22</xref>). Based on our therapy targeting both PGRMC1 and ATP1A1 <italic>in vitro</italic>, the combined analysis of multiple biomarkers can also facilitate the development of efficient multi-target treatments in precision medicine.</p>
<p>In summary, the combined analysis of two biomarkers (PGRMC1 and ATP1A1) indicates enhanced prognosis for RCC patients. The therapy targeting the two biomarkers <italic>in vitro</italic> suggests its utility in precision medicine practice.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec>
<title>Funding</title>
<p>The present study was financially supported by the grants from the National 863 High Tech Foundation (no. 2014AA020608), the National Key Basic Research Program of China (nos. 2013CB911303 and 2011CB910703), the National Natural Sciences Foundation of China (nos. 31470810 and 30970654), the Science and Technology Department of Sichuan Province (no. 2017JY0232) and the Health and Family Planning Commission of Sichuan Province (no. 17ZD045).</p>
</sec>
<sec>
<title>Availability of data and materials</title>
<p>The datasets used during the present study are available from the corresponding author upon reasonable request.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>YH, DZ and XW performed the experiments. PZ, ZX and SD analyzed the clinical samples. HL, HZ and NX analyzed the data. SL conceived and instructed the experiments. All authors read and approved the manuscript and agree to be accountable for all aspects of the research in ensuring that the accuracy or integrity of any part of the work are appropriately investigated and resolved.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>All tissues were obtained from West China Hospital, Sichuan University (Chengdu, China) with the patient informed consent guidelines established. Prior review, consent, and approval for this study were obtained from the Institutional Ethics Committee of State Key Laboratory of Biotherapy, West China Hospital of Sichuan University.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>PGRMC1</term><def><p>progesterone receptor membrane component 1</p></def></def-item>
<def-item><term>ATP1A1</term><def><p>Na<sup>&#x002B;</sup>/K<sup>&#x002B;</sup>-ATPase &#x03B1;1 subunit</p></def></def-item>
<def-item><term>OS</term><def><p>overall survival</p></def></def-item>
<def-item><term>IHC</term><def><p>immunohistochemistry</p></def></def-item>
<def-item><term>PKTs</term><def><p>autologous paracancerous kidney tissues</p></def></def-item>
<def-item><term>RCC</term><def><p>renal cell carcinoma</p></def></def-item>
<def-item><term>RCTs</term><def><p>RCC tissues</p></def></def-item>
</def-list>
</glossary>
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<floats-group>
<fig id="f1-or-40-03-1467" position="float">
<label>Figure 1.</label>
<caption><p>The expression levels of PGRMC1 and ATP1A1 in RCTs and PKTs were detected by (A) western blotting and (B) IHC. (A) The expression of PGRMC1 and ATP1A1 were measured in three randomly selected RCTs and their counterparts. (B) The staining activity of PGRMC1 and ATP1A1 were respectively shown in RCTs (a and c) and PKTs (b and d). The positive staining cells are shown with an arrow. RCTs, renal cell carcinoma tissues; PKTs, autologous para-cancerous kidney tissues; IHC, immunohistochemistry.</p></caption>
<graphic xlink:href="OR-40-03-1467-g00.tif"/>
</fig>
<fig id="f2-or-40-03-1467" position="float">
<label>Figure 2.</label>
<caption><p>Higher OS rate for RCC patients with low PGRMC1/positive ATP1A1 levels. Eighty RCC patients who had exact OS rates were grouped into four types, including group 1 with high PGRMC1/negative ATP1A1 (n=15), group 2 with low PGRMC1/positive ATP1A1 (n=16), group 3 with low PGRMC1/negative ATP1A1 (n=18) and group 4 with high PGRMC1/positive ATP1A1 (n=31). The Kaplan-Meier estimates showed that patients with low PGRMC1/positive ATP1A1 had the highest survival rate through our analysis (P=0.04 by log-rank test). OS, overall survival; RCC, renal cell carcinoma.</p></caption>
<graphic xlink:href="OR-40-03-1467-g01.tif"/>
</fig>
<fig id="f3-or-40-03-1467" position="float">
<label>Figure 3.</label>
<caption><p>PGRMC1 upregulation and ATP1A1 downregulation both enhance AKT phosphorylation in RCC cells. (A) The expression levels of ATP1A1 and p-AKT were respectively assessed in RCC cells in response to overexpression or inhibition of PGRMC1 expression. pFlag-PGRMC1, PGRMC1-containing expression plasmid; pFlag, the empty expression vector; si-PGRMC1, PGRMC1-specific siRNA sequences; siNC, nonspecific oligonucleotides. (B) The expression levels of PGRMC1 and p-AKT were respectively assessed in RCC cells following transient transfection of pYR-ATP1A1 plasmids. The p-AKT was decreased in ATP1A1-overexpressing RCC cells. pYR, the empty expression plasmid; pYR-ATP1A1, ATP1A1-containing expression plasmid; p-AKT, phosphorylated AKT; RCC, renal cell carcinoma.</p></caption>
<graphic xlink:href="OR-40-03-1467-g02.tif"/>
</fig>
<fig id="f4-or-40-03-1467" position="float">
<label>Figure 4.</label>
<caption><p>p-AKT levels in RCTs and PKTs as detected by western blotting and IHC. (A) p-AKT and AKT were assessed in three randomly selected RCTs and their counterparts. (B) The average immunoreactivity score of p-AKT was 2.61&#x00B1;0.32 in 80 RCTs, which was higher than the average staining score 0.69&#x00B1;0.11 in 80 corresponding PKTs (&#x002A;&#x002A;&#x002A;P&#x003C;0.001). (C) A negative, weak, moderate and strong staining pattern of p-AKT was respectively shown in RCTs and PKTs. RCTs, renal cell carcinoma tissues; PKTs, para-cancerous kidney tissues; p-AKT, phosphorylated AKT. The red arrow indicates positive protein expression. Scale bar, 100 &#x00B5;m (original magnification &#x00D7;200). IHC, immunohistochemistry.</p></caption>
<graphic xlink:href="OR-40-03-1467-g03.tif"/>
</fig>
<fig id="f5-or-40-03-1467" position="float">
<label>Figure 5.</label>
<caption><p>Associations between p-AKT expression and OS of RCC patients. The Kaplan-Meier estimates showed that patients with low p-AKT levels had a higher overall survival rate (P=0.011 by the log-rank test). RCC, renal cell carcinoma; p-AKT, phosphorylated AKT; OS, overall survival.</p></caption>
<graphic xlink:href="OR-40-03-1467-g04.tif"/>
</fig>
<fig id="f6-or-40-03-1467" position="float">
<label>Figure 6.</label>
<caption><p>Combined regulation of PGRMC1 downregulation and ATP1A1 upregulation efficiently inhibited RCC cell proliferation and migration. Compared with the control group, co-transfection of pYR-ATP1A1 and siPGRMC1 more efficiently inhibited cell proliferation in (A) 786-O and (B) OS-RC-2 cells. (C) Co-transfection with pYR-ATP1A1 and siPGRMC1 significantly suppressed cell migration than each single transfection in RCC cells. The experiment was performed in triplicate, and data are shown as mean &#x00B1; SD, &#x002A;P&#x003C;0.05. siNC&#x002B;pYR, co-transfection with the empty expression plasmid (pYR) and nonspecific oligonucleotides (siNC); siNC&#x002B;ATP1A1, co-transfection with the ATP1A1-containing expression plasmid (pYR-ATP1A1) and nonspecific oligonucleotides (siNC); si-PGRMC1&#x002B;pYR, co-transfection the empty expression plasmid (pYR) and PGRMC1-specific siRNA sequences (siPGRMC1); si-PGRMC1&#x002B;ATP1A1, co-transfection with the ATP1A1-containing expression plasmid (pYR-ATP1A1) and PGRMC1-specific siRNA sequences (si-PGRMC1); RCC, renal cell carcinoma.</p></caption>
<graphic xlink:href="OR-40-03-1467-g05.tif"/>
</fig>
<fig id="f7-or-40-03-1467" position="float">
<label>Figure 7.</label>
<caption><p>Schematic summary of the combined roles of ATP1A1 and PGRMC1 in RCC cells. (A) In RCC cells, the endogenous high level of PGRMC1 and low level of ATP1A1 both activated p-AKT, and consequently promoted cell proliferation and cell migration. (B) As a gene therapy strategy <italic>in vitro</italic>, PGRMC1 knockdown in combination with ATP1A1 upregulation demonstrated synergistic inhibitory effects on RCC cell growth and migration by suppressing p-AKT. p-AKT, phosphorylated AKT; P : phosphorylation.</p></caption>
<graphic xlink:href="OR-40-03-1467-g06.tif"/>
</fig>
<table-wrap id="tI-or-40-03-1467" position="float">
<label>Table I.</label>
<caption><p>PGRMC1 and ATP1A1 expression in RCTs and PKTs.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2">RCTs (n=80)</th>
<th align="center" valign="bottom" colspan="3">PKTs (n=80)</th>
</tr>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="3"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Protein</th>
<th align="center" valign="bottom">Immuno-reactivity</th>
<th align="center" valign="bottom">&#x0025; (n/total)</th>
<th align="center" valign="bottom">Average score</th>
<th align="center" valign="bottom">&#x0025; (n/total)</th>
<th align="center" valign="bottom">Average score</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">PGRMC1</td>
<td align="center" valign="top">Total</td>
<td align="center" valign="top">100 (80/80)</td>
<td align="center" valign="top">5.56&#x00B1;2.94</td>
<td align="center" valign="top">100 (80/80)</td>
<td align="center" valign="top">3.70&#x00B1;1.83</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td/>
<td align="center" valign="top">Low</td>
<td align="center" valign="top">42.5 (34/80)</td>
<td align="center" valign="top">2.62&#x00B1;1.13</td>
<td align="center" valign="top">77.5 (62/80)</td>
<td align="center" valign="top">2.89&#x00B1;0.99</td>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">High</td>
<td align="center" valign="top">57.5 (46/80)</td>
<td align="center" valign="top">7.74&#x00B1;1.69</td>
<td align="center" valign="top">22.5 (18/80)</td>
<td align="center" valign="top">6.50&#x00B1;1.15</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">ATP1A1</td>
<td align="center" valign="top">Total</td>
<td align="center" valign="top">100 (80/80)</td>
<td align="center" valign="top">1.27&#x00B1;1.85</td>
<td align="center" valign="top">100 (80/80)</td>
<td align="center" valign="top">8.35&#x00B1;2.96</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td/>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">41.3 (33/80)</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">1.2 (1/80)</td>
<td align="center" valign="top">0</td>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">Positive</td>
<td align="center" valign="top">58.7 (47/80)</td>
<td align="center" valign="top">2.16&#x00B1;1.98</td>
<td align="center" valign="top">98.8 (79/80)</td>
<td align="center" valign="top">8.46&#x00B1;2.83</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-or-40-03-1467"><p>Student&#x0027;s t-test, P&#x003C;0.001. RCTs, renal cell carcinoma tissues; PKTs, para-cancerous kidney tissues. &#x0025; (n/total) indicates the percentage (specific cases/total cases). The low PGRMC1 level was scored 1&#x2013;4, while the high level was &#x003E;4. The negative ATP1A1 level was scored 0, while the positive level was &#x003E;0.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-or-40-03-1467" position="float">
<label>Table II.</label>
<caption><p>Overall survival analysis of the combination of PGRMC1 and ATP1A1.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th/>
<th/>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2">Scoring of PGRMC1</th>
<th align="center" valign="bottom" colspan="2">Scoring of ATP1A1</th>
<th align="center" valign="bottom" colspan="2">Scoring of p-AKT</th>
</tr>
<tr>
<th/>
<th/>
<th/>
<th/>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Case no.</th>
<th align="center" valign="bottom">Age (years)</th>
<th align="center" valign="bottom">Sex</th>
<th align="center" valign="bottom">TNM stage</th>
<th align="center" valign="bottom">Survival time (months)</th>
<th align="center" valign="bottom">Survival state</th>
<th align="center" valign="bottom">RCT</th>
<th align="center" valign="bottom">PKT</th>
<th align="center" valign="bottom">RCT</th>
<th align="center" valign="bottom">PKT</th>
<th align="center" valign="bottom">RCT</th>
<th align="center" valign="bottom">PKT</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">42</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I&#x2013;II</td>
<td align="center" valign="top">74</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">43</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">73</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">76</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">73</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">48</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">36</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;5</td>
<td align="center" valign="top">66</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">III</td>
<td align="center" valign="top">6</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;6</td>
<td align="center" valign="top">29</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">106</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;7</td>
<td align="center" valign="top">66</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">106</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">71</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">106</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;9</td>
<td align="center" valign="top">62</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">105</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">10</td>
<td align="center" valign="top">57</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">41</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">11</td>
<td align="center" valign="top">65</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I&#x2013;II</td>
<td align="center" valign="top">70</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">12</td>
<td align="center" valign="top">50</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I&#x2013;II</td>
<td align="center" valign="top">70</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">13</td>
<td align="center" valign="top">62</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">70</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">14</td>
<td align="center" valign="top">79</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II&#x2013;III</td>
<td align="center" valign="top">32</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">15</td>
<td align="center" valign="top">73</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">67</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">16</td>
<td align="center" valign="top">44</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">105</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">17</td>
<td align="center" valign="top">52</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I&#x2013;II</td>
<td align="center" valign="top">105</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">18</td>
<td align="center" valign="top">73</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I&#x2013;II</td>
<td align="center" valign="top">105</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">19</td>
<td align="center" valign="top">73</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">105</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">20</td>
<td align="center" valign="top">44</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I&#x2013;II</td>
<td align="center" valign="top">105</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">21</td>
<td align="center" valign="top">78</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">61</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">22</td>
<td align="center" valign="top">55</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">2</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">23</td>
<td align="center" valign="top">49</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">104</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0.5</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">24</td>
<td align="center" valign="top">61</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">103</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">2</td>
</tr>
<tr>
<td align="left" valign="top">25</td>
<td align="center" valign="top">52</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">68</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">26</td>
<td align="center" valign="top">67</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">II&#x2013;III</td>
<td align="center" valign="top">8</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">27</td>
<td align="center" valign="top">52</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">103</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">28</td>
<td align="center" valign="top">62</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II&#x2013;III</td>
<td align="center" valign="top">72</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">29</td>
<td align="center" valign="top">44</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I&#x2013;II</td>
<td align="center" valign="top">103</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0.5</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">30</td>
<td align="center" valign="top">60</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I&#x2013;II</td>
<td align="center" valign="top">101</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">31</td>
<td align="center" valign="top">57</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">III</td>
<td align="center" valign="top">101</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">32</td>
<td align="center" valign="top">48</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">101</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">33</td>
<td align="center" valign="top">72</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">101</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">34</td>
<td align="center" valign="top">42</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">35</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">35</td>
<td align="center" valign="top">65</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">34</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">36</td>
<td align="center" valign="top">78</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">80</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">37</td>
<td align="center" valign="top">44</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">100</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.5</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">38</td>
<td align="center" valign="top">60</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I&#x2013;II</td>
<td align="center" valign="top">100</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">39</td>
<td align="center" valign="top">50</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">100</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">2</td>
</tr>
<tr>
<td align="left" valign="top">40</td>
<td align="center" valign="top">57</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">III</td>
<td align="center" valign="top">3</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">41</td>
<td align="center" valign="top">57</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">99</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">42</td>
<td align="center" valign="top">65</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I&#x2013;II</td>
<td align="center" valign="top">99</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">43</td>
<td align="center" valign="top">71</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">48</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">2</td>
</tr>
<tr>
<td align="left" valign="top">44</td>
<td align="center" valign="top">39</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">99</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">45</td>
<td align="center" valign="top">72</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I&#x2013;II</td>
<td align="center" valign="top">61</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">46</td>
<td align="center" valign="top">54</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">III</td>
<td align="center" valign="top">8</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">47</td>
<td align="center" valign="top">55</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">99</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">4</td>
</tr>
<tr>
<td align="left" valign="top">48</td>
<td align="center" valign="top">57</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">49</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">49</td>
<td align="center" valign="top">48</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">98</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">4</td>
</tr>
<tr>
<td align="left" valign="top">50</td>
<td align="center" valign="top">48</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">III&#x2013;IV</td>
<td align="center" valign="top">98</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">51</td>
<td align="center" valign="top">70</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">98</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">52</td>
<td align="center" valign="top">77</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I&#x2013;II</td>
<td align="center" valign="top">59</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">53</td>
<td align="center" valign="top">37</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I&#x2013;II</td>
<td align="center" valign="top">98</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">54</td>
<td align="center" valign="top">75</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">98</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0.5</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">55</td>
<td align="center" valign="top">51</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">98</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">56</td>
<td align="center" valign="top">82</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">62</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">57</td>
<td align="center" valign="top">64</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I&#x2013;II</td>
<td align="center" valign="top">97</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">58</td>
<td align="center" valign="top">66</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">32</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">59</td>
<td align="center" valign="top">55</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">97</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">60</td>
<td align="center" valign="top">55</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">97</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">61</td>
<td align="center" valign="top">61</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">III</td>
<td align="center" valign="top">66</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">62</td>
<td align="center" valign="top">54</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">97</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">63</td>
<td align="center" valign="top">59</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">III</td>
<td align="center" valign="top">18</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">64</td>
<td align="center" valign="top">66</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">95</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">4</td>
</tr>
<tr>
<td align="left" valign="top">65</td>
<td align="center" valign="top">73</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">95</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
</tr>
<tr>
<td align="left" valign="top">66</td>
<td align="center" valign="top">71</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">94</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">67</td>
<td align="center" valign="top">54</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">93</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">68</td>
<td align="center" valign="top">46</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">93</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2</td>
</tr>
<tr>
<td align="left" valign="top">69</td>
<td align="center" valign="top">55</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">92</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">70</td>
<td align="center" valign="top">61</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">92</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">4</td>
</tr>
<tr>
<td align="left" valign="top">71</td>
<td align="center" valign="top">51</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">92</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">72</td>
<td align="center" valign="top">70</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">92</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">73</td>
<td align="center" valign="top">55</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">92</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">74</td>
<td align="center" valign="top">60</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">45</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">75</td>
<td align="center" valign="top">64</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">92</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">76</td>
<td align="center" valign="top">57</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">92</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">77</td>
<td align="center" valign="top">55</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">92</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">78</td>
<td align="center" valign="top">64</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">73</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">79</td>
<td align="center" valign="top">70</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">90</td>
<td align="left" valign="top">Survival</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">80</td>
<td align="center" valign="top">64</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">II</td>
<td align="center" valign="top">30</td>
<td align="left" valign="top">Death</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-or-40-03-1467"><p>RCT, renal cell carcinoma tissue; PKT, paracancerous kidney tissue.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-or-40-03-1467" position="float">
<label>Table III.</label>
<caption><p>Overall survival analysis of the combination of PGRMC1 and ATP1A1.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2">7-year OS Rate</th>
</tr>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Markers</th>
<th align="center" valign="bottom">No. of patients</th>
<th align="center" valign="bottom">(&#x0025;)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">PGRMC1</td>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.05</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Low</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">76.0</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;High</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">62.7</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">ATP1A1</td>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.05</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Negative</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">54.5</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">78.1</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">PGRMC1/ATP1A1</td>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.05</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Low PGRMC1&#x002B;Positive ATP1A1</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">92.3</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Low PGRMC1&#x002B;Negative ATP1A1</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">61.1</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;High PGRMC1&#x002B;Positive ATP1A1</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">70.7</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;High PGRMC1&#x002B;Negative ATP1A1</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">46.7</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3-or-40-03-1467"><p>OS, overall survival.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
