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
Hauptverfasser: Yue, Peipei, Zhu, Chen, Gao, Yaxian, Li, Yan, Wang, Qi, Zhang, Kexin, Gao, Shuting, Shi, Yaxing, Wu, Yanju, Wang, Biao, Xie, Jisheng, Meng, Xin
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container_start_page 110080
container_title Biomedicine & pharmacotherapy
container_volume 126
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.
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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 &amp; pharmacotherapy, 2020-06, Vol.126, p.110080-110080, Article 110080</ispartof><rights>2020</rights><rights>Copyright © 2020. 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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. 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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.</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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source MEDLINE; Elsevier ScienceDirect Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
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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