Development of an autophagy-related signature in pancreatic adenocarcinoma
•High-risk score of autophagy was significantly associated with poor prognosis in pancreatic adenocarcinoma.•The mutation rates of KRAS and TP53 were significantly higher in the high-risk score of autophagy.•The high-risk score of autophagy was associated with immune cells infiltration and Hippo pat...
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Veröffentlicht in: | Biomedicine & pharmacotherapy 2020-06, Vol.126, p.110080-110080, Article 110080 |
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container_title | Biomedicine & pharmacotherapy |
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creator | Yue, Peipei Zhu, Chen Gao, Yaxian Li, Yan Wang, Qi Zhang, Kexin Gao, Shuting Shi, Yaxing Wu, Yanju Wang, Biao Xie, Jisheng Meng, Xin |
description | •High-risk score of autophagy was significantly associated with poor prognosis in pancreatic adenocarcinoma.•The mutation rates of KRAS and TP53 were significantly higher in the high-risk score of autophagy.•The high-risk score of autophagy was associated with immune cells infiltration and Hippo pathway inactivation in pancreatic adenocarcinoma.
In recent years, autophagy has become a research hotspot in the field of pancreatic adenocarcinoma (PAAD) due to its ambiguous roles in pancreatic tumor progression. Hence, it is necessary to assess its clinical significance in a larger cohort of patients with PAAD. Here, we identified autophagy-related genes with prognostic value in PAAD and constructed a risk model based on these genes. We found that patients in high-risk group were significantly associated with poor prognosis. Genome mutation analysis suggested that KRAS and TP53 mutations were significantly higher in high-risk groups. In addition, functional enrichment analysis showed that high-risk groups were associated with immune cell infiltration and tumor-associated signaling pathways. We further performed CIBERSORT analysis and observed increased macrophage infiltration in high-risk group, but decreased B and T cell counts compared to that in low-risk group. Gene set enrichment analysis indicated that the Hippo pathway was enriched in the high-risk group. Further, using weighted gene co-expression network analysis, Yes-associated protein 1 (YAP1) was identified as a critical hub gene. Interestingly, we found that the autophagy status and YAP1 expression status could influence each other, thus creating a positive feedback loop. In conclusion, in this study, we highlighted the clinical significance of autophagy in pancreatic cancer, constructed an autophagy-related prognostic predictive system, and identified a promising target for autophagy regulation in pancreatic cancer. |
doi_str_mv | 10.1016/j.biopha.2020.110080 |
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In recent years, autophagy has become a research hotspot in the field of pancreatic adenocarcinoma (PAAD) due to its ambiguous roles in pancreatic tumor progression. Hence, it is necessary to assess its clinical significance in a larger cohort of patients with PAAD. Here, we identified autophagy-related genes with prognostic value in PAAD and constructed a risk model based on these genes. We found that patients in high-risk group were significantly associated with poor prognosis. Genome mutation analysis suggested that KRAS and TP53 mutations were significantly higher in high-risk groups. In addition, functional enrichment analysis showed that high-risk groups were associated with immune cell infiltration and tumor-associated signaling pathways. We further performed CIBERSORT analysis and observed increased macrophage infiltration in high-risk group, but decreased B and T cell counts compared to that in low-risk group. Gene set enrichment analysis indicated that the Hippo pathway was enriched in the high-risk group. Further, using weighted gene co-expression network analysis, Yes-associated protein 1 (YAP1) was identified as a critical hub gene. Interestingly, we found that the autophagy status and YAP1 expression status could influence each other, thus creating a positive feedback loop. In conclusion, in this study, we highlighted the clinical significance of autophagy in pancreatic cancer, constructed an autophagy-related prognostic predictive system, and identified a promising target for autophagy regulation in pancreatic cancer.</description><identifier>ISSN: 0753-3322</identifier><identifier>EISSN: 1950-6007</identifier><identifier>DOI: 10.1016/j.biopha.2020.110080</identifier><identifier>PMID: 32203889</identifier><language>eng</language><publisher>France: Elsevier Masson SAS</publisher><subject>Adenocarcinoma - etiology ; Adenocarcinoma - metabolism ; Adenocarcinoma - mortality ; Adenocarcinoma - pathology ; Autophagy ; Autophagy - genetics ; Biomarkers, Tumor ; Cell Line, Tumor ; Computational Biology ; Disease Susceptibility ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Gene Regulatory Networks ; Genes, p53 ; Hippo pathway ; Humans ; Immune microenvironment ; Mutation ; Pancreatic adenocarcinoma ; Pancreatic Neoplasms - etiology ; Pancreatic Neoplasms - metabolism ; Pancreatic Neoplasms - mortality ; Pancreatic Neoplasms - pathology ; Prognosis ; Proportional Hazards Models ; Protein-Serine-Threonine Kinases - metabolism ; Proto-Oncogene Proteins p21(ras) - genetics ; ROC Curve ; Signal Transduction ; TCGA ; Tumor Microenvironment - genetics ; Tumor Microenvironment - immunology</subject><ispartof>Biomedicine & pharmacotherapy, 2020-06, Vol.126, p.110080-110080, Article 110080</ispartof><rights>2020</rights><rights>Copyright © 2020. Published by Elsevier Masson SAS.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-992a0a4c57bb6d082cd3d1145678f09174b079648d7ccf93329dccaa04724bfd3</citedby><cites>FETCH-LOGICAL-c408t-992a0a4c57bb6d082cd3d1145678f09174b079648d7ccf93329dccaa04724bfd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0753332220302717$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32203889$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yue, Peipei</creatorcontrib><creatorcontrib>Zhu, Chen</creatorcontrib><creatorcontrib>Gao, Yaxian</creatorcontrib><creatorcontrib>Li, Yan</creatorcontrib><creatorcontrib>Wang, Qi</creatorcontrib><creatorcontrib>Zhang, Kexin</creatorcontrib><creatorcontrib>Gao, Shuting</creatorcontrib><creatorcontrib>Shi, Yaxing</creatorcontrib><creatorcontrib>Wu, Yanju</creatorcontrib><creatorcontrib>Wang, Biao</creatorcontrib><creatorcontrib>Xie, Jisheng</creatorcontrib><creatorcontrib>Meng, Xin</creatorcontrib><title>Development of an autophagy-related signature in pancreatic adenocarcinoma</title><title>Biomedicine & pharmacotherapy</title><addtitle>Biomed Pharmacother</addtitle><description>•High-risk score of autophagy was significantly associated with poor prognosis in pancreatic adenocarcinoma.•The mutation rates of KRAS and TP53 were significantly higher in the high-risk score of autophagy.•The high-risk score of autophagy was associated with immune cells infiltration and Hippo pathway inactivation in pancreatic adenocarcinoma.
In recent years, autophagy has become a research hotspot in the field of pancreatic adenocarcinoma (PAAD) due to its ambiguous roles in pancreatic tumor progression. Hence, it is necessary to assess its clinical significance in a larger cohort of patients with PAAD. Here, we identified autophagy-related genes with prognostic value in PAAD and constructed a risk model based on these genes. We found that patients in high-risk group were significantly associated with poor prognosis. Genome mutation analysis suggested that KRAS and TP53 mutations were significantly higher in high-risk groups. In addition, functional enrichment analysis showed that high-risk groups were associated with immune cell infiltration and tumor-associated signaling pathways. We further performed CIBERSORT analysis and observed increased macrophage infiltration in high-risk group, but decreased B and T cell counts compared to that in low-risk group. Gene set enrichment analysis indicated that the Hippo pathway was enriched in the high-risk group. Further, using weighted gene co-expression network analysis, Yes-associated protein 1 (YAP1) was identified as a critical hub gene. Interestingly, we found that the autophagy status and YAP1 expression status could influence each other, thus creating a positive feedback loop. In conclusion, in this study, we highlighted the clinical significance of autophagy in pancreatic cancer, constructed an autophagy-related prognostic predictive system, and identified a promising target for autophagy regulation in pancreatic cancer.</description><subject>Adenocarcinoma - etiology</subject><subject>Adenocarcinoma - metabolism</subject><subject>Adenocarcinoma - mortality</subject><subject>Adenocarcinoma - pathology</subject><subject>Autophagy</subject><subject>Autophagy - genetics</subject><subject>Biomarkers, Tumor</subject><subject>Cell Line, Tumor</subject><subject>Computational Biology</subject><subject>Disease Susceptibility</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Gene Regulatory Networks</subject><subject>Genes, p53</subject><subject>Hippo pathway</subject><subject>Humans</subject><subject>Immune microenvironment</subject><subject>Mutation</subject><subject>Pancreatic adenocarcinoma</subject><subject>Pancreatic Neoplasms - etiology</subject><subject>Pancreatic Neoplasms - metabolism</subject><subject>Pancreatic Neoplasms - mortality</subject><subject>Pancreatic Neoplasms - pathology</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Protein-Serine-Threonine Kinases - metabolism</subject><subject>Proto-Oncogene Proteins p21(ras) - genetics</subject><subject>ROC Curve</subject><subject>Signal Transduction</subject><subject>TCGA</subject><subject>Tumor Microenvironment - genetics</subject><subject>Tumor Microenvironment - immunology</subject><issn>0753-3322</issn><issn>1950-6007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE9v1DAQxS0EotvCN0Aox16yHTuJY1-QUAv9o0pc4GxN7EnxKrGDnVTab09WKT1yGunpzXszP8Y-cdhz4PLqsO98nH7jXoBYJQ6g4A3bcd1AKQHat2wHbVOVVSXEGTvP-QAAjazUe3a2SlAppXfs4YaeaYjTSGEuYl9gKHCZT7lPxzLRgDO5IvungPOSqPChmDDYRDh7W6CjEC0m60Mc8QN71-OQ6ePLvGC_vn_7eX1XPv64vb_--ljaGtRcai0QsLZN23XSgRLWVY7zupGt6kHztu6g1bJWrrW21-v52lmLCHUr6q531QW73HKnFP8slGcz-mxpGDBQXLIRlRKykVLp1VpvVptizol6MyU_YjoaDuZE0RzMRtGcKJqN4rr2-aVh6UZyr0v_sK2GL5uB1j-fPSWTradgyflEdjYu-v83_AXl1ITb</recordid><startdate>202006</startdate><enddate>202006</enddate><creator>Yue, Peipei</creator><creator>Zhu, Chen</creator><creator>Gao, Yaxian</creator><creator>Li, Yan</creator><creator>Wang, Qi</creator><creator>Zhang, Kexin</creator><creator>Gao, Shuting</creator><creator>Shi, Yaxing</creator><creator>Wu, Yanju</creator><creator>Wang, Biao</creator><creator>Xie, Jisheng</creator><creator>Meng, Xin</creator><general>Elsevier Masson SAS</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>202006</creationdate><title>Development of an autophagy-related signature in pancreatic adenocarcinoma</title><author>Yue, Peipei ; Zhu, Chen ; Gao, Yaxian ; Li, Yan ; Wang, Qi ; Zhang, Kexin ; Gao, Shuting ; Shi, Yaxing ; Wu, Yanju ; Wang, Biao ; Xie, Jisheng ; Meng, Xin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-992a0a4c57bb6d082cd3d1145678f09174b079648d7ccf93329dccaa04724bfd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adenocarcinoma - etiology</topic><topic>Adenocarcinoma - metabolism</topic><topic>Adenocarcinoma - mortality</topic><topic>Adenocarcinoma - pathology</topic><topic>Autophagy</topic><topic>Autophagy - genetics</topic><topic>Biomarkers, Tumor</topic><topic>Cell Line, Tumor</topic><topic>Computational Biology</topic><topic>Disease Susceptibility</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Gene Regulatory Networks</topic><topic>Genes, p53</topic><topic>Hippo pathway</topic><topic>Humans</topic><topic>Immune microenvironment</topic><topic>Mutation</topic><topic>Pancreatic adenocarcinoma</topic><topic>Pancreatic Neoplasms - etiology</topic><topic>Pancreatic Neoplasms - metabolism</topic><topic>Pancreatic Neoplasms - mortality</topic><topic>Pancreatic Neoplasms - pathology</topic><topic>Prognosis</topic><topic>Proportional Hazards Models</topic><topic>Protein-Serine-Threonine Kinases - metabolism</topic><topic>Proto-Oncogene Proteins p21(ras) - genetics</topic><topic>ROC Curve</topic><topic>Signal Transduction</topic><topic>TCGA</topic><topic>Tumor Microenvironment - genetics</topic><topic>Tumor Microenvironment - immunology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yue, Peipei</creatorcontrib><creatorcontrib>Zhu, Chen</creatorcontrib><creatorcontrib>Gao, Yaxian</creatorcontrib><creatorcontrib>Li, Yan</creatorcontrib><creatorcontrib>Wang, Qi</creatorcontrib><creatorcontrib>Zhang, Kexin</creatorcontrib><creatorcontrib>Gao, Shuting</creatorcontrib><creatorcontrib>Shi, Yaxing</creatorcontrib><creatorcontrib>Wu, Yanju</creatorcontrib><creatorcontrib>Wang, Biao</creatorcontrib><creatorcontrib>Xie, Jisheng</creatorcontrib><creatorcontrib>Meng, Xin</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Biomedicine & pharmacotherapy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yue, Peipei</au><au>Zhu, Chen</au><au>Gao, Yaxian</au><au>Li, Yan</au><au>Wang, Qi</au><au>Zhang, Kexin</au><au>Gao, Shuting</au><au>Shi, Yaxing</au><au>Wu, Yanju</au><au>Wang, Biao</au><au>Xie, Jisheng</au><au>Meng, Xin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of an autophagy-related signature in pancreatic adenocarcinoma</atitle><jtitle>Biomedicine & pharmacotherapy</jtitle><addtitle>Biomed Pharmacother</addtitle><date>2020-06</date><risdate>2020</risdate><volume>126</volume><spage>110080</spage><epage>110080</epage><pages>110080-110080</pages><artnum>110080</artnum><issn>0753-3322</issn><eissn>1950-6007</eissn><abstract>•High-risk score of autophagy was significantly associated with poor prognosis in pancreatic adenocarcinoma.•The mutation rates of KRAS and TP53 were significantly higher in the high-risk score of autophagy.•The high-risk score of autophagy was associated with immune cells infiltration and Hippo pathway inactivation in pancreatic adenocarcinoma.
In recent years, autophagy has become a research hotspot in the field of pancreatic adenocarcinoma (PAAD) due to its ambiguous roles in pancreatic tumor progression. Hence, it is necessary to assess its clinical significance in a larger cohort of patients with PAAD. Here, we identified autophagy-related genes with prognostic value in PAAD and constructed a risk model based on these genes. We found that patients in high-risk group were significantly associated with poor prognosis. Genome mutation analysis suggested that KRAS and TP53 mutations were significantly higher in high-risk groups. In addition, functional enrichment analysis showed that high-risk groups were associated with immune cell infiltration and tumor-associated signaling pathways. We further performed CIBERSORT analysis and observed increased macrophage infiltration in high-risk group, but decreased B and T cell counts compared to that in low-risk group. Gene set enrichment analysis indicated that the Hippo pathway was enriched in the high-risk group. Further, using weighted gene co-expression network analysis, Yes-associated protein 1 (YAP1) was identified as a critical hub gene. Interestingly, we found that the autophagy status and YAP1 expression status could influence each other, thus creating a positive feedback loop. In conclusion, in this study, we highlighted the clinical significance of autophagy in pancreatic cancer, constructed an autophagy-related prognostic predictive system, and identified a promising target for autophagy regulation in pancreatic cancer.</abstract><cop>France</cop><pub>Elsevier Masson SAS</pub><pmid>32203889</pmid><doi>10.1016/j.biopha.2020.110080</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adenocarcinoma - etiology Adenocarcinoma - metabolism Adenocarcinoma - mortality Adenocarcinoma - pathology Autophagy Autophagy - genetics Biomarkers, Tumor Cell Line, Tumor Computational Biology Disease Susceptibility Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene Regulatory Networks Genes, p53 Hippo pathway Humans Immune microenvironment Mutation Pancreatic adenocarcinoma Pancreatic Neoplasms - etiology Pancreatic Neoplasms - metabolism Pancreatic Neoplasms - mortality Pancreatic Neoplasms - pathology Prognosis Proportional Hazards Models Protein-Serine-Threonine Kinases - metabolism Proto-Oncogene Proteins p21(ras) - genetics ROC Curve Signal Transduction TCGA Tumor Microenvironment - genetics Tumor Microenvironment - immunology |
title | Development of an autophagy-related signature in pancreatic adenocarcinoma |
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