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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Genet.</journal-id>
<journal-title>Frontiers in Genetics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genet.</abbrev-journal-title>
<issn pub-type="epub">1664-8021</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">730847</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2021.730847</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Roles and Clinical Significances of ATF6, EMC6, and APAF1 in Prognosis of Pancreatic Cancer</article-title>
<alt-title alt-title-type="left-running-head">Xiao et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Prognostic Factors of Pancreatic Cancer</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Xiao</surname>
<given-names>Wang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="fn" rid="FN1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cao</surname>
<given-names>Rong-Chang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="fn" rid="FN1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Wan-Jun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="fn" rid="FN1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tan</surname>
<given-names>Jie-Hui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Ruo-Qi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kan</surname>
<given-names>He-Ping</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Lei</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Na</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Zhi-Ye</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Xue-Mei</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Jia</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Guo-Wei</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/1385518/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shen</surname>
<given-names>Peng</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Division of Hepatobiliopancreatic Surgery</institution>, <institution>Department of General Surgery</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>Department of Hepoctobiliary Pancreatic Surgery</institution>, <institution>The Eighth Affiliated Hospital</institution>, <institution>Sun Yat-sen University</institution>, <addr-line>Shenzhen</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Anesthesiology</institution>, <institution>Nanfang Hospital</institution>, <institution>Southern Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Occupational Health and Medicine</institution>, <institution>Guangdong Provincial Key Laboratory of Tropical Disease Research</institution>, <institution>School of Public Health</institution>, <institution>Southern Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Pathophysiology</institution>, <institution>Southern Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Oncology</institution>, <institution>Nanfang Hospital</institution>, <institution>Southern 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/188819/overview">Youping Deng</ext-link>, Rush University Medical Center, 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/726296/overview">Shuangyu Lv</ext-link>, Henan University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1169057/overview">Muhammad Khan</ext-link>, University of the Punjab, Pakistan</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Guo-Wei Zhang, <email>guoweizhang77@163.com</email>; Peng Shen, <email>shenbo20110311@163.com</email>
</corresp>
<fn fn-type="equal" id="FN1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work and share first authorship</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Human and Medical Genomics, a section of the journal Frontiers in Genetics</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>02</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>730847</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>06</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>12</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Xiao, Cao, Yang, Tan, Liu, Kan, Zhou, Zhang, Chen, Chen, Xu, Zhang and Shen.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Xiao, Cao, Yang, Tan, Liu, Kan, Zhou, Zhang, Chen, Chen, Xu, Zhang and Shen</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> Pancreatic cancer (PC) is prevalent among malignant tumors with poor prognosis and lacks efficient therapeutic strategies. Endoplasmic reticulum (ER) stress and apoptosis are associated with chronic inflammation and cancer progression. However, the prognostic value of ER stress-related, and apoptosis-related genes in PC remains to be further elucidated. Our study aimed at confirming the prognostic values of the ER stress-related genes, ATF6, EMC6, XBP1, and CHOP, and the apoptosis-related gene, APAF1, in PC patients.</p>
<p>
<bold>Methods:</bold> Gene Expression Profiling Interactive Analysis 2 (GEPIA2) was used to evaluate prognosis value of ATF6, EMC6, XBP1, CHOP, and APAF1 in PC. Clinical data from 69 PC patients were retrospectively analyzed. Immunohistochemistry, Western blotting, and qRT-PCR were used for the assessment of gene or protein expression. The cell counting kit-8 (CCK-8) and the Transwell invasion assays were, respectively, used for the assessment of the proliferative and invasive abilities of PC cells. The prognostic values of ATF6, XBP1, CHOP, EMC6, and APAF1 in PC patients were evaluated using Kaplan&#x2013;Meier and Cox regression analyses.</p>
<p>
<bold>Results:</bold> XBP1 and CHOP expressions were not associated with PC recurrence-free survival (RFS), overall survival (OS) and disease-specific survival (DSS). ATF6 upregulation and EMC6 and APAF1 downregulations significantly correlated with the poor RFS, OS, and DSS of PC patients. ATF6 promoted PC cell proliferation and invasion, while EMC6 and APAF1 inhibited these events.</p>
<p>
<bold>Conclusion:</bold> ATF6 upregulation and EMC6 and APAF1 downregulations may be valid indicators of poor prognosis of PC patients. Moreover, ATF6, EMC6, and APAF1 may constitute potential therapeutic targets in PC patients.</p>
</abstract>
<kwd-group>
<kwd>pancreatic cancer</kwd>
<kwd>endoplasmic reticulum stress (ER stress)</kwd>
<kwd>apoptosis</kwd>
<kwd>ATF6</kwd>
<kwd>EMC6</kwd>
<kwd>Apaf1</kwd>
<kwd>prognosis</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Pancreatic cancer (PC) is the fourth most common cause of cancer-related death in the United&#x20;States with a 5-years survival rate of 10% (<xref ref-type="bibr" rid="B33">Siegel et&#x20;al., 2021</xref>). The main treatment options include surgery, chemotherapy, radiotherapy, targeted therapy, supportive care, and their combination, however, surgical resection is the only curative therapy (<xref ref-type="bibr" rid="B23">Mizrahi et&#x20;al., 2020</xref>). However, post-surgical resection recurrence is observed in approximatively 80% of PC patients (<xref ref-type="bibr" rid="B10">Groot et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B12">Kim et&#x20;al., 2019</xref>). Despite remarkable improvements in surgical techniques in recent years, surgically resected patients are susceptible to death from their disease due to the high rate of recurrence (<xref ref-type="bibr" rid="B29">Sakamoto et&#x20;al., 2020</xref>). Thus, the evaluation of the prognosis of PC patients and the development of new therapeutic methods are urgently needed to improve PC prognostic efficiency.</p>
<p>The endoplasmic reticulum (ER) stress is induced by various physiological or pathological strains on the cell, such as glucose deprivation, hypoxia, or chemotherapeutics, that subsequently activate unfolded protein response (UPR) as an adaptive response for cell recovery from stress (<xref ref-type="bibr" rid="B8">Dauer et&#x20;al., 2019</xref>). Protein kinase R-like ER kinase (PERK), the transcription factor 6 (ATF6), and the inositol requiring enzyme 1&#x3b1; (IRE1&#x3b1;) constitute the three branches of the UPR signaling pathway (<xref ref-type="bibr" rid="B18">Lin et&#x20;al., 2019</xref>). X-box-binding protein 1 (XBP1) is generated through the activation of the IRE1&#x3b1;-mediated cleavage of XBP1 mRNA cleavage (<xref ref-type="bibr" rid="B8">Dauer et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B2">Barez et&#x20;al., 2020</xref>), which expression is associated with poor prognosis in cancer patients (<xref ref-type="bibr" rid="B1">Bagratuni et&#x20;al., 2010</xref>; <xref ref-type="bibr" rid="B5">Chen et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B13">Kwon et&#x20;al., 2018</xref>). The C/EBP homologous protein (CHOP) is a downstream factor of severe ER stress (<xref ref-type="bibr" rid="B4">Cao et&#x20;al., 2019</xref>), which is upregulated in response to dysregulated UPR and which is used in the stratification of mesothelioma patients (<xref ref-type="bibr" rid="B7">Dalton et&#x20;al., 2013</xref>). ATF6 is a crucial regulator of the UPR pathway that is involved in coagulation (<xref ref-type="bibr" rid="B40">Zheng et&#x20;al., 2019</xref>), and that has been identified as a poor prognosis factor in biliopancreatic carcinoma (<xref ref-type="bibr" rid="B22">Martinez-Useros et&#x20;al., 2015</xref>) and colon cancer (<xref ref-type="bibr" rid="B19">Liu et&#x20;al., 2018</xref>). Although ATF6, XBP1, and CHOP are involved in the prognosis of multiple diseases, their roles in PC remain not well-known.</p>
<p>ER membrane protein complex subunit 6 (EMC6) is a novel positive regulator of autophagy regulator in human cells (<xref ref-type="bibr" rid="B30">Shen et&#x20;al., 2016</xref>) that has been demonstrated to influence the development of ER stress (<xref ref-type="bibr" rid="B6">Chitwood and Hegde, 2019</xref>), and to induce apoptosis in gastric cancer cells (<xref ref-type="bibr" rid="B37">Wang et&#x20;al., 2017</xref>). Apoptotic protease-activating factor 1 (APAF1) is a crucial factor in the mitochondria-dependent death pathway, which also plays a significant role in ER stress-induced apoptosis (<xref ref-type="bibr" rid="B31">Shiraishi et&#x20;al., 2006</xref>). In our previous study, we found that ATF6/XBP1/CHOP axis could promote the progression of chronic pancreatitis (CP) (<xref ref-type="bibr" rid="B41">Zhou et&#x20;al., 2019</xref>), and EMC6 could upregulate the expression of APAF1 to promote pancreatic acinar apoptosis and inflammatory injury of CP (<xref ref-type="bibr" rid="B34">Tan et&#x20;al., 2020</xref>). Given that CP was regarded as a high risk factor for PC, in the present study, we aimed at characterizing the expression of ER stress-related proteins ATF6/XBP1/CHOP/EMC6 and apoptosis-related protein APAF1 in PC, and at analyzing the relationship between their expression, the clinico-pathological variables, and prognosis of surgically resected PC patients.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Survival Analysis Based on Gene Expression Profiling Interactive Analysis 2</title>
<p>Different expressions of ATF6, EMC6, XBP1, CHOP, and APAF1 in PC and normal tissues were analyzed in Gene Expression Profiling Interactive Analysis 2 (GEPIA2; <ext-link ext-link-type="uri" xlink:href="http://gepia2.cancer-pku.cn/">http://gepia2.cancer-pku.cn/&#x23;index</ext-link>). GEPIA2 is an interactive web server for analyzing the expression data of RNA from 9,736 tumors and 8,587 normal samples from the Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) datasets (<xref ref-type="bibr" rid="B35">Tang et&#x20;al., 2019</xref>). The <italic>p</italic>-value cutoff of the expression of gene for analysis was 0.01. The &#x7c;Log2FC&#x7c; cutoff of the expression of gene for analysis was 1, and we used log2 (TPM &#x2b; 1) for log&#x20;scale.</p>
<p>Survival analysis for overall survival (OS) and disease-free survival (DFS) in GEPIA2 was also used to estimate the relationship between PC prognostic value and the expression of genes ATF6, EMC6, XBP1, CHOP, and APAF1. The meaning of DFS was similar to recurrence-free survival (RFS) for this study. Hazards ratio (HR) was calculated based on Cox PH Model. The 95% confidence interval (CI) was shown by dotted line. The expression median value of gene for analyzing was identified as group cutoff to distinguish the high-expression group and the low-expression&#x20;group.</p>
</sec>
<sec id="s2-2">
<title>Patients and Tissue Samples</title>
<p>PC and adjacent normal pancreatic tissue samples were retrospectively collected from 69 PC patients, including 39 males and 30 females, with a mean age of about 57&#xa0;years ranging from 34 to 79&#xa0;years. These patients underwent surgical resections in Nanfang Hospital, Southern Medical University, between October 2010 and April 2019. A more detailed information about the patients is shown in <xref ref-type="sec" rid="s12">Supplementary Table S1</xref>. Before the experiments, each patient provided a written informed consent. After resection, each sample was frozen at &#x2212;80&#xb0;C until analysis and all patients were followed up until May 2019. Complete clinical and pathological data and follow-up documentations were recorded and analyzed for all patients in the study, who had never received preoperative chemotherapy or radiotherapy. The tumor stages in the study were classified according to the Union for International Cancer Control (UICC). RFS was defined as the period from the date of pancreatic resection until the date of recurrence diagnosis. OS was defined as the period from the date of surgical resection until the date of death or last follow-up. Disease-specific survival (DSS) was defined as the period from the date of surgical resection until the date of death due to PC. The collection and analysis of tissue and data were approved by the Ethics Committee of the Southern Medical University.</p>
</sec>
<sec id="s2-3">
<title>Hematoxylin and Eosin Staining and Immunohistochemistry</title>
<p>Pancreatic tissues were fixed in 4% neutral phosphate-buffered formalin, embedded in paraffin, and cut into 5-&#x3bc;m thick sections. Hematoxylin and eosin (H&#x26;E) staining were performed by experienced pathologists and followed by double-blinded histological evaluations. For the immunohistochemical detection, the sections were sequentially incubated overnight at 4&#xb0;C with anti-ATF6 (Bioss, diluted 1:100), anti-XBP1 (Bioss, diluted 1:200), anti-CHOP (Bioss, diluted 1:100), anti-EMC6 (Proteintech, diluted 1:100) and anti-APAF1 (Abcam, diluted 1:100) antibodies. After 30&#xa0;min of incubation with secondary antibodies at room temperature, the sections were counterstained with DAB solution and hematoxylin. Positively stained cells were evaluated by two experienced pathologists according to a previously described protocol (<xref ref-type="bibr" rid="B42">Zhou et&#x20;al., 2020</xref>). Five high magnification areas were evaluated from each sample.</p>
<p>The immunohistochemical scores were assessed based on the intensity of staining and the proportion of stained cells. The scores of 0, 1, 2, and 3, respectively, corresponded to negative, weak, moderate, and strong staining intensities. The proportion of positively stained cells for each intensity was scored as follows: 0 (0%&#x2013;5% positive cells), 1 (5%&#x2013;25% positive cells), 2 (26%&#x2013;50% positive cells), 3 (51%&#x2013;75% positive cells), and 4 (76%&#x2013;100% positive cells). The IHC scores given by each pathologist were calculated by multiplying the proportion of positively stained cells by the staining intensity scores. The final IHC scores were the mean value of scores from two pathologists and divided into low expression (0&#x2013;7) and high expression (8&#x2013;12) groups.</p>
</sec>
<sec id="s2-4">
<title>Cell Culture and Transfection</title>
<p>The human PC cell lines, SW1990, HUPT4, PATU8988, PANC1, and ASPC1, were obtained from American Type Culture Collection (ATCC, Rockville, MD, USA). All the cell lines were cultured in Dulbecco&#x2019;s modified Eagle&#x2019;s medium (DMEM, Gibco). All mediums were supplemented with 10% fetal bovine serum (FBS) and maintained in a 37&#xb0;C and 5% CO<sub>2</sub> atmosphere.</p>
<p>ATF6, EMC6, and APAF1 expression and functions were investigated by Western blotting, qRT-PCR, CCK8 assay, and Transwell assay. Si-ATF6, Si-EMC6, and Si-APAF1 were, respectively, used to inhibit the expression of ATF6, EMC6, and APAF1. The constructs OE-ATF6, OE-EMC6, and OE-APAF1 were used to, respectively, overexpress ATF6, EMC6, and APAF1. The negative control (NC) and the vector were designed and synthesized by RiboBio Co., Ltd. (Guangzhou, China). PC cells were separately seeded in 24-well plates at a density of 5&#xa0;&#xd7;&#xa0;10<sup>5</sup> cells and transfected with Si-ATF6, Si-EMC6, Si-APAF1, OE-ATF6, OE-EMC6, OE-APAF1, NC, and the vector using riboFECT mRNA Transfection Reagent (RiboBio Co., Ltd. Guangzhou, China) according to the recommendations of the manufacturer. After 48&#xa0;h of transfection and incubation in a 37&#xb0;C and 5% CO<sub>2</sub> atmosphere, the cells were harvested for subsequent experiments.</p>
</sec>
<sec id="s2-5">
<title>Quantitative Real-Time PCR</title>
<p>Trizol Reagent (Merck, Germany) was used to extract RNA from cultured cells according to the instructions of the manufacturer. QRT-PCR was performed using the SYBR Premix Ex Tag kit (Takara Biotechnology Co., Ltd.) and the Applied Biosystems 7500&#x20;Real-Time PCR system (Thermo Fisher Scientific Inc., UK). The primers were designed and synthesized by RiboBio Co., Ltd. (Guangzhou, China). ATF6 forward, 5&#x2032;-CGC CTT TTA GTC CGG TTC TT-3&#x2032; and reverse, 5&#x2032;-CCA GTT GGT AAC AAT GCC ATG T-3&#x2032;; EMC6 forward, 5&#x2032;-GTC GCC AAG ATT TGC TCC CT-3&#x2032; and reverse, 5&#x2032;-AAA CAC ACA ATG CCG GTA CAC-3&#x2032;; APAF1 forward, 5&#x2032;-GAT CCA CAC AGG CCA TCA CA-3&#x2032; and reverse, 5&#x2032;-GGC GGG AGT CTA TGT TCC AC-3&#x2032;. GAPDH forward, 5&#x2032;-ATC ATC AGC AAT GCC TCC TG-3&#x2032; and reverse, 5&#x2032;-ATG GAC TGT GGT CAT GAG TC-3&#x2032;. ATF6, EMC6, and APAF1 expressions were normalized by GAPDH. The 2&#x2212;<sup>&#x25b3;&#x25b3;Ct</sup> method was used to calculate the relative expression levels. The expression levels of the genes were measured by qRT-PCR.</p>
</sec>
<sec id="s2-6">
<title>Western Blot Assay</title>
<p>RiPA buffer (GenStar, China) was used to extract the proteins from the transfected cell lines. The proteins were loaded and separated on SDS-PAGE, and transferred onto PVDF membranes (Millipore, USA). After blocking with 5% non-fat milk, the membranes were incubated with anti-ATF6 (Bioss, China), anti-EMC6 (Proteintech, USA), anti-APAF1 (Abcam, UK), and anti-GAPDH (Fude Biological Technology Co., Ltd. China) antibodies overnight at 4&#xb0;C. Following this step, the membranes were incubated with horseradish peroxidase-coupled secondary antibodies for 1&#xa0;h, and finally, the expression of the proteins was revealed using the enhanced chemiluminescence solution (ECL, PerkinElmer,&#x20;USA).</p>
</sec>
<sec id="s2-7">
<title>Cell Counting Kit-8 Assay</title>
<p>The cell counting kit-8 assay was performed to assess the viability of the transfected cell lines. The transfected cells were seeded in a 96-well plate and cultured for 72&#xa0;h. Then, 10&#xa0;&#x3bc;l of CCK8 solution (Dojindo, Japan) was added to each well and incubated for 2&#xa0;h. The absorbance at 450&#xa0;nm was measured using a microplate reader.</p>
</sec>
<sec id="s2-8">
<title>Transwell Invasion Assay</title>
<p>The Transwell invasion assay was performed to measure the invasion ability of the transfected cells using the Transwell chambers. The transfected cells were suspended in serum-free medium and seeded in the upper chambers that were precoated with Matrigel. The medium containing 10% FBS was placed in the lower chamber. After 24&#xa0;h of incubation at 37&#xb0;C, the cells on the bottom chamber were stained with 0.1% crystal violet for 10&#xa0;min at 37&#xb0;C. The number of stained cells in the lower chambers was calculated using a microscope.</p>
</sec>
<sec id="s2-9">
<title>Statistical Analysis</title>
<p>The SPSS software version 26.0 (SPSS, Chicago, IL) and the GraphPad Prism software version 8.2 (San Diego, CA, USA) were used for statistical analyses. The data were reported as mean&#x20;&#xb1; standard deviation. The paired Student&#x2019;s t-test or the chi-square test were used to analyze the expression differences of genes among normal, high, and low expression groups. The Kaplan&#x2013;Meier method was performed for survival curves between low-expression and high-expression groups using the log-rank test. To identify the factors involved in PC, the Cox proportional hazards regression method was applied using univariate and multivariate analyses. Differences were considered significant if <italic>p</italic>&#x20;&#x3c;&#x20;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Elevated Expression of ATF6 and Reduced Expression of EMC6 and APAF1 Associated with Worse Prognosis in PC According to the GEPIA2 Database</title>
<p>GEPIA2 was used to evaluate the relationship between the expression of ATF6, EMC6, XBP1, CHOP, APAF1, and prognosis value of PC. There was an upregulated trend of ATF6, EMC6, APAF1, and CHOP expression in PC compared with that in normal pancreatic tissues, while the result of XBP1 was opposite in this event (<xref ref-type="fig" rid="F1">Figure&#x20;1C</xref>). Noticeably, the elevated expression of ATF6 and reduced&#x20;expression of EMC6 and APAF1 showed a statistically significant association with poor OS for PC, but not with DFS, while the expression level of CHOP and XBP1 had no correlation with OS and DFS of PC (<xref ref-type="fig" rid="F2">Figure&#x20;2</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Analysis of ATF6, XBP1, CHOP, EMC6, and APAF1 expression in tumor and adjacent normal tissue samples of human. <bold>(A)</bold> H&#x26;E staining and immunohistochemical detection of ATF6, XBP1, CHOP, EMC6, and APAF1 protein expression in pancreatic tissue from normal and PC patients. <bold>(B)</bold> The expression of ATF6, XBP1, CHOP, EMC6, and APAF1 in tumor and normal samples. <bold>(C)</bold> The expression of ATF6, XBP1, CHOP, EMC6, and APAF1 in tumor (red) and normal samples (gray) <italic>via</italic> GEPIA2. T, tumors; N, normal tissues; &#x2a;<italic>p</italic>&#x20;&#x2264; 0.05, &#x2a;&#x2a;<italic>p</italic>&#x20;&#x2264; 0.01, &#x2a;&#x2a;&#x2a;<italic>p</italic>&#x20;&#x2264; 0.001. Scale bars &#x3d; 50&#xa0;&#x3bc;m. ATF6, transcription factor 6; XBP1, X-box-binding protein 1; CHOP, C/EBP homologous protein; EMC6, ER membrane protein complex subunit 6; APAF1, apoptotic protease-activating factor 1; H&#x26;E, hematoxylin and eosin; PC, pancreatic cancer; GEPIA2, gene expression profiling interactive analysis.</p>
</caption>
<graphic xlink:href="fgene-12-730847-g001.tif"/>
</fig>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Kaplan&#x2013;Meier plotter for overall survival (OS) <bold>(A,C,E,G,I)</bold> and disease-free survival (DFS) <bold>(B,D,F,H,J)</bold> based ATF6, XBP1, CHOP, EMC6, or APAF1 expression <italic>via</italic> survival analysis in GEPIA2 database. The two-sided log-rank test was performed to compare differences by <italic>p</italic>-values.</p>
</caption>
<graphic xlink:href="fgene-12-730847-g002.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>Clinicopathological Characteristics of Patients With Pancreatic Cancer</title>
<p>The clinicopathological features of the 69 patients are described in <xref ref-type="table" rid="T1">Table&#x20;1</xref>. Briefly, the median age of the patients at diagnosis was 58&#xa0;years (age range: 34&#x2013;79&#xa0;years), and 39.1% of patients were &#x3e;60&#xa0;years old and 63.8% had tumors with sizes&#x3e;3&#xa0;cm. Patients were male in 56.5%, and the proportion of smokers was 23.2%. Adenocarcinoma was the most common histological type that was observed in 95.7% of patients. Stage I (42.0%) and II (44.9%) were common, with involvement of lymph nodes, and vascular and neural invasions observed in 31.9%, 13.0%, and 26.1%, respectively.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Clinicopathological characteristics of patients with pancreatic cancer (PC).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="center">Number (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="2" align="left">Age (years)</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2264;60</td>
<td align="center">42 (60.9%)</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3e;60</td>
<td align="center">27 (39.1%)</td>
</tr>
<tr>
<td colspan="2" align="left">Gender</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="center">39 (56.5%)</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="center">30 (43.5%)</td>
</tr>
<tr>
<td colspan="2" align="left">Smoking</td>
</tr>
<tr>
<td align="left">&#x2003;Yes</td>
<td align="center">16 (23.2%)</td>
</tr>
<tr>
<td align="left">&#x2003;No</td>
<td align="center">53 (76.8%)</td>
</tr>
<tr>
<td colspan="2" align="left">Tumor size</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2264;3&#xa0;cm</td>
<td align="center">25 (36.2%)</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3e;3&#xa0;cm</td>
<td align="center">44 (63.8%)</td>
</tr>
<tr>
<td colspan="2" align="left">Histology</td>
</tr>
<tr>
<td align="left">&#x2003;Adenocarcinoma</td>
<td align="center">66 (95.7%)</td>
</tr>
<tr>
<td align="left">&#x2003;Others</td>
<td align="center">3 (4.3%)</td>
</tr>
<tr>
<td colspan="2" align="left">Stage</td>
</tr>
<tr>
<td align="left">&#x2003;I</td>
<td align="center">29 (42.0%)</td>
</tr>
<tr>
<td align="left">&#x2003;II</td>
<td align="center">31 (44.9%)</td>
</tr>
<tr>
<td align="left">&#x2003;III</td>
<td align="center">2 (2.9%)</td>
</tr>
<tr>
<td align="left">&#x2003;IV</td>
<td align="center">7 (10.1%)</td>
</tr>
<tr>
<td colspan="2" align="left">Lymph nodes involved</td>
</tr>
<tr>
<td align="left">&#x2003;Yes</td>
<td align="center">22 (31.9%)</td>
</tr>
<tr>
<td align="left">&#x2003;No</td>
<td align="center">47 (68.1%)</td>
</tr>
<tr>
<td colspan="2" align="left">Vascular invasion</td>
</tr>
<tr>
<td align="left">&#x2003;Yes</td>
<td align="center">9 (13.0%)</td>
</tr>
<tr>
<td align="left">&#x2003;No</td>
<td align="center">60 (87.0%)</td>
</tr>
<tr>
<td colspan="2" align="left">Neural invasion</td>
</tr>
<tr>
<td align="left">&#x2003;Yes</td>
<td align="center">18 (26.1%)</td>
</tr>
<tr>
<td align="left">&#x2003;Noo</td>
<td align="center">51 (73.9%)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-3">
<title>Elevated Expression of Endoplasmic Reticulum Stress and Apoptosis-Related Proteins in Pancreatic Cancer</title>
<p>To determine the expression levels of ER stress-related and apoptosis-related proteins in human PC, we collected PC and normal pancreatic tissues for immunohistochemistry analysis. The expression of the ER stress-related proteins, ATF6, XBP1, CHOP, and EMC6, and the apoptosis-related protein, APAF1, were significantly higher in PC tissues compared with those in normal pancreatic tissues (<xref ref-type="fig" rid="F1">Figures 1A,B</xref>). Compared with these results to GEPIA2, the reason for the different results in XBP1 may be the differences of sources of data analyzed. The RNA-seq datasets were used by GEPIA2, instead of the IHC data. These results demonstrate that the expressions of ATF6, XBP1, CHOP, EMC6, and APAF1 were upregulated in&#x20;PC.</p>
</sec>
<sec id="s3-4">
<title>Prognostic Values of Transcription Factor 6, ER Membrane Protein Complex Subunit 6, and Apoptotic Protease-Activating Factor 1 in Pancreatic Cancer Patients</title>
<p>To validate the associations between clinicopathological and molecular variables, and prognostic values in the PC patients, survival analysis was performed using the Kaplan&#x2013;Meier method and the significance was tested with the log rank test. Univariate Cox regression analysis revealed that the TNM stage, lymph node involvement, and the expression levels of ATF6, EMC6, and APAF1, significantly correlate with RFS, OS, and DSS, while no significant differences were observed between the two groups based on age, sex, smoking, tumor size, neural and vascular invasions, and XBP1 and CHOP expression (<xref ref-type="table" rid="T2">Tables 2</xref>&#x2013;<xref ref-type="table" rid="T4">4</xref>). Notably, the multivariate Cox regression analysis revealed that the TNM stage [HR &#x3d; 3.578; <italic>p</italic>&#x20;&#x3d; 0.027], ATF6 expression [HR &#x3d; 0.220; <italic>p</italic>&#x20;&#x3c; 0.001], EMC6 expression [HR &#x3d; 2.571; <italic>p</italic>&#x20;&#x3d; 0.020], and APAF1 expression [HR &#x3d; 2.426; <italic>p</italic>&#x20;&#x3d; 0.026] were also independent prognostic factors for RFS (<xref ref-type="table" rid="T2">Table&#x20;2</xref>). Simultaneously, the TNM stage [HR&#xa0;&#x3d;&#xa0;4.064; <italic>p</italic>&#xa0;&#x3d;&#xa0;0.014], lymph node involvement [HR &#x3d; 0.380; <italic>p</italic>&#x20;&#x3d; 0.034], ATF6 expression [HR &#x3d; 0.229; <italic>p</italic>&#x20;&#x3d; 0.001], EMC6 expression [HR &#x3d; 2.956; <italic>p</italic>&#x20;&#x3d; 0.010], and APAF1 expression [HR &#x3d; 2.369; <italic>p</italic>&#x20;&#x3d; 0.034] were also found to be significant prognostic factors for OS (<xref ref-type="table" rid="T3">Table&#x20;3</xref>). Moreover, the TNM stage [HR &#x3d; 4.073; <italic>p</italic>&#x20;&#x3d; 0.017], lymph node involvement [HR &#x3d; 0.396; <italic>p</italic>&#x20;&#x3d; 0.046], ATF6 expression [HR &#x3d; 0.183; <italic>p</italic>&#x20;&#x3c; 0.001], EMC6 expression [HR &#x3d; 3.275; <italic>p</italic>&#x20;&#x3d; 0.015], and APAF1 expression [HR &#x3d; 2.887; <italic>p</italic>&#x20;&#x3d; 0.029] were also prognostic factors for DSS (<xref ref-type="table" rid="T4">Table&#x20;4</xref>). Kaplan&#x2013;Meier survival plots indicated significantly higher survival rates at each time point for the ATF6<sup>low</sup>, EMC6<sup>high</sup>, and APAF1<sup>high</sup> groups compared with those in the ATF6<sup>high</sup>, EMC6<sup>low</sup> and APAF1<sup>low</sup> groups (<italic>p</italic>&#x20;&#x3c; 0.05, <xref ref-type="fig" rid="F3">Figures 3A,D,E</xref>). There was no statistical significance for XBP1 and CHOP (<italic>p</italic>&#x20;&#x3e; 0.05, <xref ref-type="fig" rid="F3">Figures 3B,C</xref>). Discrepancy of results in ATF6, EMC6, and APAF1 from GEPIA2 survival analysis and our experiment may be due to different sources of data analyzed. Another reason probably lies in the different group cutoff in distinguishing the high-expression group and the low-expression group. The samples were divided into two groups by expression median of genes in GEPIA2 database, instead of defining &#x201c;high expression&#x201d; as the IHC scores &#x2265;8 in our study. Nevertheless, both GEPIA2 survival analysis and our study identified that the expression of ATF6, EMC6, and APAF1 was related to PC patients&#x2019; survival. The results demonstrate that among the genes that are related to ER stress and apoptosis in this research, only ATF6, EMC6, and APAF1 were associated with PC patients&#x2019; survival, which would be used in further studies.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Univariate and multivariate Cox regression analysis for recurrence-free survival.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Variable</th>
<th colspan="2" align="center">Univariate analysis</th>
<th colspan="2" align="center">Multivariate analysis</th>
</tr>
<tr>
<th align="center">HR (95% CI)</th>
<th align="center">
<italic>p</italic>-Value</th>
<th align="center">HR (95% CI)</th>
<th align="center">
<italic>p</italic>-Value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age (&#x2264;60 vs. &#x3e;60&#xa0;years)</td>
<td align="char" char="(">1.751 (0.964&#x2013;3.180)</td>
<td align="char" char=".">0.066</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Gender (male vs. female)</td>
<td align="char" char="(">0.833 (0.464&#x2013;1.496)</td>
<td align="char" char=".">0.541</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Smoking (yes vs. no)</td>
<td align="char" char="(">1.184 (0.571&#x2013;2.457)</td>
<td align="char" char=".">0.650</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Size (&#x3e;3 vs. &#x2264;3&#xa0;cm)</td>
<td align="char" char="(">0.581 (0.301&#x2013;1.124)</td>
<td align="char" char=".">0.107</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Stage (I, II, III vs. IV)</td>
<td align="char" char="(">5.109 (2.121&#x2013;12.305)</td>
<td align="char" char=".">0.000<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="char" char="(">3.578 (1.154&#x2013;11.099)</td>
<td align="char" char=".">0.027<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">Lymph nodes involved (yes vs. no)</td>
<td align="char" char="(">0.435 (0.240&#x2013;0.788)</td>
<td align="char" char=".">0.006<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Neural invasion (yes vs. no)</td>
<td align="char" char="(">1.044 (0.484&#x2013;2.253)</td>
<td align="char" char=".">0.912</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Vascular invasion (yes vs. no)</td>
<td align="char" char="(">0.572 (0.264&#x2013;1.240)</td>
<td align="char" char=".">0.157</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">ATF6 (high vs. low)</td>
<td align="char" char="(">0.392 (0.213&#x2013;0.720)</td>
<td align="char" char=".">0.003<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="char" char="(">0.220 (0.095&#x2013;0.510)</td>
<td align="char" char=".">0.000<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">XBP1 (high vs. low)</td>
<td align="char" char="(">1.027 (0.573&#x2013;1.840)</td>
<td align="char" char=".">0.929</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">CHOP (high vs. low)</td>
<td align="char" char="(">0.948 (0.530&#x2013;1.694)</td>
<td align="char" char=".">0.856</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">EMC6 (high vs. low)</td>
<td align="char" char="(">2.056 (1.091&#x2013;3.874)</td>
<td align="char" char=".">0.026<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="char" char="(">2.571 (1.160&#x2013;5.700)</td>
<td align="char" char=".">0.020<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">APAF1 (high vs. low)</td>
<td align="char" char="(">2.017 (1.040&#x2013;3.911)</td>
<td align="char" char=".">0.038<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="char" char="(">2.426 (1.114&#x2013;5.281)</td>
<td align="char" char=".">0.026<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note. HR, hazard&#x20;ratio.</p>
</fn>
<fn>
<p>95% CI, 95% confidence interval.</p>
</fn>
<fn id="Tfn1">
<label>a</label>
<p>Statistically significant results (<italic>p</italic>&#x20;&#x3c; 0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Univariate and multivariate Cox regression analysis for overall survival.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Variable</th>
<th colspan="2" align="center">Univariate analysis</th>
<th colspan="2" align="center">Multivariate analysis</th>
</tr>
<tr>
<th align="center">HR (95% CI)</th>
<th align="center">
<italic>p</italic>-Value</th>
<th align="center">HR (95% CI)</th>
<th align="center">
<italic>p</italic>-Value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age (&#x2264;60 vs. &#x3e;60&#xa0;years)</td>
<td align="char" char="(">1.880 (1.034&#x2013;3.419)</td>
<td align="char" char=".">0.039<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Gender (male vs. female)</td>
<td align="char" char="(">0.823 (0.458&#x2013;1.478)</td>
<td align="char" char=".">0.514</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Smoking (yes vs. no)</td>
<td align="char" char="(">1.137 (0.547&#x2013;2.362)</td>
<td align="char" char=".">0.731</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Size (&#x3e;3 vs. &#x2264;3&#xa0;cm)</td>
<td align="char" char="(">0.599 (0.310&#x2013;1.158)</td>
<td align="char" char=".">0.128</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Stage (I, II, III vs. IV)</td>
<td align="char" char="(">6.648 (2.653&#x2013;16.657)</td>
<td align="char" char=".">0.000<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td align="char" char="(">4.064 (1.325&#x2013;12.465)</td>
<td align="char" char=".">0.014<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">Lymph nodes involved (yes vs. no)</td>
<td align="char" char="(">0.426 (0.236&#x2013;0.769)</td>
<td align="char" char=".">0.005<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td align="char" char="(">0.380 (0.155&#x2013;0.932)</td>
<td align="char" char=".">0.034<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">Neural invasion (yes vs. no)</td>
<td align="char" char="(">0.958 (0.422&#x2013;2.074)</td>
<td align="char" char=".">0.913</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Vascular invasion (yes vs. no)</td>
<td align="char" char="(">0.545 (0.252&#x2013;1.181)</td>
<td align="char" char=".">0.124</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">ATF6 (high vs. low)</td>
<td align="char" char="(">0.378 (0.206&#x2013;0.696)</td>
<td align="char" char=".">0.002<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td align="char" char="(">0.229 (0.099&#x2013;0.530)</td>
<td align="char" char=".">0.001<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">XBP1 (high vs. low)</td>
<td align="char" char="(">1.080 (0.603&#x2013;1.936)</td>
<td align="char" char=".">0.795</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">CHOP (high vs. low)</td>
<td align="char" char="(">0.981 (0.549&#x2013;1.753)</td>
<td align="char" char=".">0.948</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">EMC6 (high vs. low)</td>
<td align="char" char="(">2.082 (1.105&#x2013;3.924)</td>
<td align="char" char=".">0.023<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td align="char" char="(">2.956 (1.290&#x2013;6.772)</td>
<td align="char" char=".">0.010<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">APAF1 (high vs. low)</td>
<td align="char" char="(">2.117 (1.092&#x2013;4.103)</td>
<td align="char" char=".">0.026<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td align="char" char="(">2.369 (1.069&#x2013;5.249)</td>
<td align="char" char=".">0.034<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note. HR, hazard&#x20;ratio.</p>
</fn>
<fn>
<p>95% CI, 95% confidence interval.</p>
</fn>
<fn id="Tfn2">
<label>a</label>
<p>Statistically significant results (<italic>p</italic>&#x20;&#x3c; 0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Univariate and multivariate Cox regression analysis for disease-specific survival.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Variable</th>
<th colspan="2" align="center">Univariate analysis</th>
<th colspan="2" align="center">Multivariate analysis</th>
</tr>
<tr>
<th align="center">HR (95% CI)</th>
<th align="center">
<italic>p</italic>-Value</th>
<th align="center">HR (95% CI)</th>
<th align="center">
<italic>p</italic>-Value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age (&#x2264;60 vs. &#x3e;60&#xa0;years)</td>
<td align="char" char="(">2.029 (1.077&#x2013;3.823)</td>
<td align="char" char=".">0.029<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Gender (male vs. female)</td>
<td align="char" char="(">0.865 (0.467&#x2013;1.602)</td>
<td align="char" char=".">0.645</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Smoking (yes vs. no)</td>
<td align="char" char="(">1.068 (0.508&#x2013;2.245)</td>
<td align="char" char=".">0.861</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Size (&#x3e;3 vs. &#x2264;3&#xa0;cm)</td>
<td align="char" char="(">0.592 (0.296&#x2013;1.184)</td>
<td align="char" char=".">0.138</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Stage (I, II, III vs. IV)</td>
<td align="char" char="(">7.494 (2.865&#x2013;19.604)</td>
<td align="char" char=".">0.000<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
<td align="char" char="(">4.073 (1.284&#x2013;12.922)</td>
<td align="char" char=".">0.017<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">Lymph nodes involved (yes vs. no)</td>
<td align="char" char="(">0.396 (0.213&#x2013;0.739)</td>
<td align="char" char=".">0.004<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
<td align="char" char="(">0.396 (0.159&#x2013;0.983)</td>
<td align="char" char=".">0.046<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">Neural invasion (yes vs. no)</td>
<td align="char" char="(">1.016 (0.445&#x2013;2.319)</td>
<td align="char" char=".">0.969</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Vascular invasion (yes vs. no)</td>
<td align="char" char="(">0.546 (0.239&#x2013;1.246)</td>
<td align="char" char=".">0.150</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">ATF6 (high vs. low)</td>
<td align="char" char="(">0.327 (0.170&#x2013;0.631)</td>
<td align="char" char=".">0.001<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
<td align="char" char="(">0.183 (0.077&#x2013;0.438)</td>
<td align="char" char=".">0.000<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">XBP1 (high vs. low)</td>
<td align="char" char="(">1.073 (0.579&#x2013;1.988)</td>
<td align="char" char=".">0.824</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">CHOP (high vs. low)</td>
<td align="char" char="(">1.072 (0.579&#x2013;1.983)</td>
<td align="char" char=".">0.826</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">EMC6 (high vs. low)</td>
<td align="char" char="(">2.028 (1.044&#x2013;3.937)</td>
<td align="char" char=".">0.037<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
<td align="char" char="(">3.275 (1.255&#x2013;8.550)</td>
<td align="char" char=".">0.015<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">APAF1 (high vs. low)</td>
<td align="char" char="(">2.397 (1.170&#x2013;4.909)</td>
<td align="char" char=".">0.017<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
<td align="char" char="(">2.887 (1.112&#x2013;7.496)</td>
<td align="char" char=".">0.029<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note. HR, hazard&#x20;ratio.</p>
</fn>
<fn>
<p>95% CI, 95% confidence interval.</p>
</fn>
<fn id="Tfn3">
<label>a</label>
<p>Statistically significant results (<italic>p</italic>&#x20;&#x3c; 0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Kaplan&#x2013;Meier survival curves of 69 PC patients for overall survival (OS), recurrence-free survival (RFS) and disease-specific survival (DSS)-based ATF6&#x20;<bold>(A)</bold>, XBP1&#x20;<bold>(B)</bold>, CHOP <bold>(C)</bold>, EMC6&#x20;<bold>(D)</bold>, or APAF1&#x20;<bold>(E)</bold> expression. The two-sided log-rank test was performed to compare differences by <italic>p</italic>-values.</p>
</caption>
<graphic xlink:href="fgene-12-730847-g003.tif"/>
</fig>
</sec>
<sec id="s3-5">
<title>The Expression of Transcription Factor 6, ER Membrane Protein Complex Subunit 6, and Apoptotic Protease-Activating Factor 1 in Pancreatic Cancer Cell Lines</title>
<p>To evaluate the expression of ATF6, EMC6, and APAF1 in pancreatic carcinoma cells by qRT-PCR, the PC cell lines, SW1990, HUPT4, PATU8988, PANC1, and ASPC1, were used. Noticeably, the highest and the lowest level of expression of ATF6 was observed in the cell lines, ASPC1 and SW1990 (<xref ref-type="fig" rid="F4">Figure&#x20;4A</xref>). Therefore, SW1990 and ASPC1 were used as representative PC cell lines for ATF6 subsequent studies. Similarly, PATU8988 and SW1990 were selected for EMC6, PANC1, and ASPC1 was selected for APAF1 experiments (<xref ref-type="fig" rid="F4">Figures&#x20;4B,C</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>PC cell lines with different expression levels of ATF6, EMC6, and APAF1. The expression of <bold>(A)</bold> ATF6, <bold>(B)</bold> EMC6, and <bold>(C)</bold> APAF1 in different PC cell lines were detected by qRT-PCR. ATF6 expression in ASPC1 and SW1990 cell lines that were transfected with Si-ATF6 and OE-ATF6, respectively, were detected by qRT-PCR <bold>(D,E)</bold> and Western blot <bold>(F)</bold>. The expression of EMC6 in SW1990 and PATU8988 cell lines that were transfected with Si-EMC6 and OE-EMC6, respectively, were measured by qRT-PCR <bold>(G,H)</bold> and Western blot <bold>(I)</bold>. APAF1 expression in ASPC1 and PANC1 cell lines that were transfected with Si-APAF1 and OE-APAF1, respectively, were evaluated by qRT-PCR <bold>(J,K)</bold> and Western blot <bold>(L)</bold>. &#x2a;<italic>p</italic>&#x20;&#x2264; 0.05, &#x2a;&#x2a;<italic>p</italic>&#x20;&#x2264; 0.01, &#x2a;&#x2a;&#x2a;<italic>p</italic>&#x20;&#x2264; 0.001.</p>
</caption>
<graphic xlink:href="fgene-12-730847-g004.tif"/>
</fig>
</sec>
<sec id="s3-6">
<title>High Expression of Transcription Factor 6 and Low Expression of ER Membrane Protein Complex Subunit 6, or Apoptotic Protease-Activating Factor 1 Promote Proliferative and Invasive Abilities of Pancreatic Cancer Cells</title>
<p>To further explore the function of ATF6, EMC6, and APAF1 in PC, we determined the effect of ATF6, EMC6, APAF1 on the proliferation and invasion abilities of PC cells using the CCK8 and Transwell assays on ATF6 transfected PC cell lines, SW1990 and ASPC1, EMC6 transfected PC cell lines, PATU8988 and SW 1990, APAF1 transfected cell lines, PANC1 and ASPC1. For this, qRT-PCR and Western blotting were used and revealed that the expression of ATF6, EMC6, and APAF1 were markedly increased in PC cells that were transfected with OE-ATF6, EMC6, and APAF1, and markedly inhibited in PC cells transfected with Si-ATF6, EMC6, and APAF1 when compared with the control (<xref ref-type="fig" rid="F4">Figures 4D&#x2013;L</xref>).</p>
<p>The result of the CCK8 assay showed that ATF6 overexpression and EMC6 or APAF1 knockdown enhances the growth of PC cells (<xref ref-type="fig" rid="F5">Figures 5B,D,G</xref>), whereas ATF6 knockdown and EMC6 or APAF1 overexpression decreases the proliferation of PC cells compared with the control (<xref ref-type="fig" rid="F5">Figures 5A,E,H</xref>). These results indicate that ATF6 promotes the viability of PC cells, while EMC6 and APAF1 have an inhibitory&#x20;role.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>ATF6 promoted PC cell viability and invasion, while EMC6 and APAF1 inhibited these events. ATF6 effects on cell viability and invasion of Si-ATF6 transfected ASPC1 cells and OE-ATF6 transfected SW1990 cells were determined using <bold>(A,B)</bold> Cell-counting kit-8 (CCK-8) assay and <bold>(C)</bold> Transwell assay, respectively. <bold>(D,E)</bold> CCK8 and <bold>(F)</bold> Transwell assays were, respectively, performed to measure cell viability and invasion of Si-EMC6 transfected SW1990 cells and OE-EMC6 transfected PATU-8988 cells. Cell viability and invasion of Si-APAF1 transfected ASPC1 cells and OE-APAF1 transfected PANC1 were separately evaluated using <bold>(G,H)</bold> the CCK8 assay and <bold>(I)</bold> the Transwell assay. &#x2a;<italic>p</italic>&#x20;&#x2264; 0.05, &#x2a;&#x2a;<italic>p</italic>&#x20;&#x2264; 0.01, &#x2a;&#x2a;&#x2a;<italic>p</italic>&#x20;&#x2264; 0.001.</p>
</caption>
<graphic xlink:href="fgene-12-730847-g005.tif"/>
</fig>
<p>The Transwell assay showed that the invasiveness of PC cells was markedly increased when ATF6 expression level is elevated and when EMC6 and APAF1 expression levels are reduced. However, ATF6 knockdown and EMC6 or APAF1 overexpression had the opposite effect (<xref ref-type="fig" rid="F5">Figures 5C,F,I</xref>). Therefore, ATF6 promotes the invasion ability of PC cells, while EMC6 and APAF1 impair&#x20;it.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>PC has always been one of the greatest challenges of human health, especially in East Asia, where 458,918 newly diagnosed cases and approximately 432,242 death cases were recorded in 2018 (<xref ref-type="bibr" rid="B3">Bray et&#x20;al., 2018</xref>). Despite continuing advancements in surgery, chemotherapy, radiotherapy, immunotherapy, and targeted therapy of PC, the prognosis of PC patients is still poor (<xref ref-type="bibr" rid="B23">Mizrahi et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B36">Thakur et&#x20;al., 2021</xref>). Unfortunately, adjuvant and neoadjuvant treatments, which were used for PC therapy, had a scarce benefit on PC prognosis (<xref ref-type="bibr" rid="B27">O&#x27;Reilly and Ferrone, 2020</xref>). Thus, the evaluation of the prognosis of PC patients and the development of new therapeutic methods are in great need to be improved&#x20;.</p>
<p>ATF6, XBP1, and CHOP were identified as core proteins in UPR signaling, which contribute to various physiological processes and cancer development (<xref ref-type="bibr" rid="B11">Hetz et&#x20;al., 2020</xref>). The ER stress was linked to a variety of cancers and was associated with their prognosis (<xref ref-type="bibr" rid="B26">Nikesitch et&#x20;al., 2016</xref>). Furthermore, blocking moderate ER stress and UPR could lead to tumoricidal effects (<xref ref-type="bibr" rid="B24">Mohamed et&#x20;al., 2017</xref>). In the present study, we showed that ATF6, EMC6, XBP1, and CHOP expression are significantly higher in PC tissues compared with those in adjacent normal pancreatic tissues, indicating the potential involvement of ER stress-related proteins in PC progression. Thus, ER stress and UPR could be potential regulators of treatment effects in&#x20;PC.</p>
<p>ATF6 is a UPR sensor that is located in the ER membrane, and that is associated with poor prognosis in Biliopancreatic and colon cancers (<xref ref-type="bibr" rid="B22">Martinez-Useros et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B19">Liu et&#x20;al., 2018</xref>). Mutations in p53 result in tumor-cell differentiation and transition to malignant lesions in human PC (<xref ref-type="bibr" rid="B25">Morris et&#x20;al., 2019</xref>). It was reported that p53 mutants enhance tumor aggressiveness by promoting cell invasion, metastasis, and chemoresistance through their interactions with ATF6 (<xref ref-type="bibr" rid="B32">Sicari et&#x20;al., 2019</xref>). We supposed that p53 may be an ATF6 potential downstream molecule associated with a poor PC prognosis. Additionally, some studies reported that OTUB1 promotes the progression of bladder cancer through its interaction with ATF6 (<xref ref-type="bibr" rid="B38">Zhang et&#x20;al., 2021</xref>), and that ATF6 could facilitate cervical cancer cell growth and migration through the MAPK pathway (<xref ref-type="bibr" rid="B20">Liu et&#x20;al., 2020</xref>), resulting in poor cancer prognosis. As observed in other cancers, our study indicated that of ATF6 increased expression correlates with poor prognosis of PC. We found that the survival rate of patients was lower, and that the proliferation and aggressiveness of tumor cells were stronger in PC when ATF6 expression is elevated. Further studies are required to reveal the exact mechanism of ATF6 in cancer. These can provide opportunities for the development of new targeting therapies for&#x20;PC.</p>
<p>EMC6 is an autophagy-related protein that is overexpressed in U2OS osteosarcoma and HCT116 colon carcinoma cells, and that participates in the formation of autophagosomes and in accelerating the degradation of autophagic substrates in lysosomes (<xref ref-type="bibr" rid="B16">Li et&#x20;al., 2019</xref>). Meanwhile, EMC6 functions as a tumor suppressor and its overexpression induces apoptosis and cell cycle arrest in gastric cancer cells (<xref ref-type="bibr" rid="B37">Wang et&#x20;al., 2017</xref>). Similarly, in our study, EMC6 was expressed at low levels in PC tissues from better surviving patients. EMC6 protein reduced PC cells viability and invasion, and cancer patients with high EMC6 expression had longer OS and RFS. EMC6 participates in cell autophagy through its interaction with RAB5A, and its deficiency induces the impairment of autophagy (<xref ref-type="bibr" rid="B17">Li et&#x20;al., 2013</xref>). Recent studies showed that autophagy plays a dual role in PC progression, which suggest its potential therapeutic targeting. Facilitating and inhibiting autophagy were both effective therapeutic methods (<xref ref-type="bibr" rid="B15">Li et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B28">Piffoux et&#x20;al., 2021</xref>). However, the specific mechanism of the dual effects of autophagy in PC progression is unclear, and therefore, further studies are required. In this study, EMC6 is a regulator of autophagy that exhibited an inhibitory effect on PC cells. Thus, the regulation of EMC6 expression could offer a novel direction for PC treatment.</p>
<p>XBP1 is considered as a biomarker of poor clinical outcomes in patients with pulmonary adenocarcinoma (<xref ref-type="bibr" rid="B13">Kwon et&#x20;al., 2018</xref>), breast cancers (<xref ref-type="bibr" rid="B5">Chen et&#x20;al., 2014</xref>), and multiple myeloma (<xref ref-type="bibr" rid="B1">Bagratuni et&#x20;al., 2010</xref>). CHOP serves as an apoptosis specific transcription factor (<xref ref-type="bibr" rid="B39">Zhang et&#x20;al., 2012</xref>), which expression is related to mesothelioma stratification of patients (<xref ref-type="bibr" rid="B7">Dalton et&#x20;al., 2013</xref>) and cancer staging (<xref ref-type="bibr" rid="B14">Lee et&#x20;al., 2013</xref>). In this study, we demonstrated that XBP1 and CHOP high expression occur in PC tissues, however, the correlation between XBP1 and CHOP expression and the survival of PC patients was not statistically significant.</p>
<p>APAF1 is as a key regulator of cell death and cell recovery pathways, and therefore, the dysregulation of apoptosis is at the root of various diseases (<xref ref-type="bibr" rid="B9">Gortat et&#x20;al., 2015</xref>). Moreover, APAF1 expression was significantly suppressed by miR-23a in PC cells, which promotes PC cell proliferation and represses apoptosis (<xref ref-type="bibr" rid="B21">Liu et&#x20;al., 2015</xref>). Our results revealed that APAF1 was overexpressed in PC tissues and inhibited the proliferation and invasion of PC cells, that contributed to a promising prognosis in PC patients. Shiraishi et&#x20;al. reported that APAF1 plays a crucial role in ER stress-induced apoptosis (<xref ref-type="bibr" rid="B31">Shiraishi et&#x20;al., 2006</xref>), and EMC6 has been demonstrated to influence the development of ER stress (<xref ref-type="bibr" rid="B6">Chitwood and Hegde, 2019</xref>). In this study, we show that APAF1 also inhibits the viability and invasion of PC cells. The exact mechanism of the interaction between ER stress and EMC6 or APAF1 on the prognosis of PC is worthy of further investigation.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>The expressions of ATF6, CHOP, XBP1, EMC6, and APAF1 are significantly involved in PC progression, and ATF6 overexpression and the inhibition of EMC6 or APAF1 expression are associated with poor clinical outcome in PC patients. These results suggest the potential use of these biomarkers as prognostic predictors for PC patients following surgery.</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/<xref ref-type="sec" rid="s12">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</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 Southern Medical University. The patients/participants provided their written informed consent to participate in this&#x20;study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>G-WZ conceived and designed the study. WX, R-CC, W-JY, and R-QL contributed in carrying out the cell experiments. WX, R-CC, and W-JY collected and organized the clinical samples and clinical information. J-HT, LZ, NZ, Z-YC, X-MC, and JX participated in the data analysis. WX drafted the manuscript. G-WZ, H-PK, and PS revised the manuscript. All authors read and approved the final manuscript.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>The article is supported by the National Natural Science Foundation of China (82170655), the Guangdong Science and Technology Planning Project (2019A030317018), the Scientific Research Startup Program of Southern Medical University by High-level University Construction Funding of Guangdong Provincial Department of Education (CX2018N012), the Clinical Research Program of Nanfang Hospital, Southern Medical University (2018CR046), and the Clinical Research Startup Program of Southern Medical University by High-Level University Construction Funding of Guangdong Provincial Department of Education (LC2016PY011).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec 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>
</sec>
<sec id="s12">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fgene.2021.730847/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fgene.2021.730847/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.DOCX" id="SM1" mimetype="application/DOCX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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