Prognostic analysis and mechanistic exploration of the autophagy-related exosome genes ITGA3, ITGB4, and PTK6 in pancreatic ductal adenocarcinoma

Pancreatic cancer (PC) is a highly malignant tumor with an extremely poor prognosis, but early diagnosis and treatment can significantly improve prognosis. This study aimed to screen autophagy-related exosome genes associated with poor prognosis in PC and to explore the underlying mechanisms in mali...

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Published inDiscover. Oncology Vol. 16; no. 1; pp. 1204 - 20
Main Authors Liang, Lunbing, Guo, Pengcheng, Xiao, Mingming, Zu, Fuqiang, Hao, Guoliang, Zhang, Chaochun, Liu, Qingfeng
Format Journal Article
LanguageEnglish
Published New York Springer US 01.07.2025
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Abstract Pancreatic cancer (PC) is a highly malignant tumor with an extremely poor prognosis, but early diagnosis and treatment can significantly improve prognosis. This study aimed to screen autophagy-related exosome genes associated with poor prognosis in PC and to explore the underlying mechanisms in malignant progression via bioinformatics analysis to provide a reference for the diagnosis, treatment and prognosis evaluation of PC, especially pancreatic ductal adenocarcinoma (PDAC). Matrix files of 178 PC tissues (including 143 PDAC) and 167 healthy human pancreatic tissues and clinical data were downloaded from the UCSC Xena database, exosome database (exoRbase) and autophagy database (HADb), and the relevant mechanisms were explored by bioinformatics methods, including differential analysis, LASSO regression analysis, survival analysis, functional analysis, immune infiltration analysis and drug sensitivity analysis. Finally, the expression of related genes in PDAC was verified via immunohistochemistry. Our research results indicate that the autophagy-related exosome genes PTK6, ITGA3 and ITGB4 are independent risk factors for PC and may promote PC development and invasion by promoting cell–cell adhesion and cell–matrix adhesion, inhibiting tumor cell autophagy, promoting nerve infiltration, reducing CD8 + T-cell content, and increasing M0 and M2 macrophage content. Drug susceptibility analysis showed that crizotinib, tamoxifen, ixazomib, and carboplatin had inhibitory effects on ITGA3, ITGB4, and PTK6.
AbstractList Pancreatic cancer (PC) is a highly malignant tumor with an extremely poor prognosis, but early diagnosis and treatment can significantly improve prognosis. This study aimed to screen autophagy-related exosome genes associated with poor prognosis in PC and to explore the underlying mechanisms in malignant progression via bioinformatics analysis to provide a reference for the diagnosis, treatment and prognosis evaluation of PC, especially pancreatic ductal adenocarcinoma (PDAC). Matrix files of 178 PC tissues (including 143 PDAC) and 167 healthy human pancreatic tissues and clinical data were downloaded from the UCSC Xena database, exosome database (exoRbase) and autophagy database (HADb), and the relevant mechanisms were explored by bioinformatics methods, including differential analysis, LASSO regression analysis, survival analysis, functional analysis, immune infiltration analysis and drug sensitivity analysis. Finally, the expression of related genes in PDAC was verified via immunohistochemistry. Our research results indicate that the autophagy-related exosome genes PTK6, ITGA3 and ITGB4 are independent risk factors for PC and may promote PC development and invasion by promoting cell-cell adhesion and cell-matrix adhesion, inhibiting tumor cell autophagy, promoting nerve infiltration, reducing CD8 + T-cell content, and increasing M0 and M2 macrophage content. Drug susceptibility analysis showed that crizotinib, tamoxifen, ixazomib, and carboplatin had inhibitory effects on ITGA3, ITGB4, and PTK6.Pancreatic cancer (PC) is a highly malignant tumor with an extremely poor prognosis, but early diagnosis and treatment can significantly improve prognosis. This study aimed to screen autophagy-related exosome genes associated with poor prognosis in PC and to explore the underlying mechanisms in malignant progression via bioinformatics analysis to provide a reference for the diagnosis, treatment and prognosis evaluation of PC, especially pancreatic ductal adenocarcinoma (PDAC). Matrix files of 178 PC tissues (including 143 PDAC) and 167 healthy human pancreatic tissues and clinical data were downloaded from the UCSC Xena database, exosome database (exoRbase) and autophagy database (HADb), and the relevant mechanisms were explored by bioinformatics methods, including differential analysis, LASSO regression analysis, survival analysis, functional analysis, immune infiltration analysis and drug sensitivity analysis. Finally, the expression of related genes in PDAC was verified via immunohistochemistry. Our research results indicate that the autophagy-related exosome genes PTK6, ITGA3 and ITGB4 are independent risk factors for PC and may promote PC development and invasion by promoting cell-cell adhesion and cell-matrix adhesion, inhibiting tumor cell autophagy, promoting nerve infiltration, reducing CD8 + T-cell content, and increasing M0 and M2 macrophage content. Drug susceptibility analysis showed that crizotinib, tamoxifen, ixazomib, and carboplatin had inhibitory effects on ITGA3, ITGB4, and PTK6.
Pancreatic cancer (PC) is a highly malignant tumor with an extremely poor prognosis, but early diagnosis and treatment can significantly improve prognosis. This study aimed to screen autophagy-related exosome genes associated with poor prognosis in PC and to explore the underlying mechanisms in malignant progression via bioinformatics analysis to provide a reference for the diagnosis, treatment and prognosis evaluation of PC, especially pancreatic ductal adenocarcinoma (PDAC). Matrix files of 178 PC tissues (including 143 PDAC) and 167 healthy human pancreatic tissues and clinical data were downloaded from the UCSC Xena database, exosome database (exoRbase) and autophagy database (HADb), and the relevant mechanisms were explored by bioinformatics methods, including differential analysis, LASSO regression analysis, survival analysis, functional analysis, immune infiltration analysis and drug sensitivity analysis. Finally, the expression of related genes in PDAC was verified via immunohistochemistry. Our research results indicate that the autophagy-related exosome genes PTK6, ITGA3 and ITGB4 are independent risk factors for PC and may promote PC development and invasion by promoting cell–cell adhesion and cell–matrix adhesion, inhibiting tumor cell autophagy, promoting nerve infiltration, reducing CD8 + T-cell content, and increasing M0 and M2 macrophage content. Drug susceptibility analysis showed that crizotinib, tamoxifen, ixazomib, and carboplatin had inhibitory effects on ITGA3, ITGB4, and PTK6.
Abstract Pancreatic cancer (PC) is a highly malignant tumor with an extremely poor prognosis, but early diagnosis and treatment can significantly improve prognosis. This study aimed to screen autophagy-related exosome genes associated with poor prognosis in PC and to explore the underlying mechanisms in malignant progression via bioinformatics analysis to provide a reference for the diagnosis, treatment and prognosis evaluation of PC, especially pancreatic ductal adenocarcinoma (PDAC). Matrix files of 178 PC tissues (including 143 PDAC) and 167 healthy human pancreatic tissues and clinical data were downloaded from the UCSC Xena database, exosome database (exoRbase) and autophagy database (HADb), and the relevant mechanisms were explored by bioinformatics methods, including differential analysis, LASSO regression analysis, survival analysis, functional analysis, immune infiltration analysis and drug sensitivity analysis. Finally, the expression of related genes in PDAC was verified via immunohistochemistry. Our research results indicate that the autophagy-related exosome genes PTK6, ITGA3 and ITGB4 are independent risk factors for PC and may promote PC development and invasion by promoting cell–cell adhesion and cell–matrix adhesion, inhibiting tumor cell autophagy, promoting nerve infiltration, reducing CD8 + T-cell content, and increasing M0 and M2 macrophage content. Drug susceptibility analysis showed that crizotinib, tamoxifen, ixazomib, and carboplatin had inhibitory effects on ITGA3, ITGB4, and PTK6.
ArticleNumber 1204
Author Guo, Pengcheng
Xiao, Mingming
Zu, Fuqiang
Zhang, Chaochun
Liu, Qingfeng
Liang, Lunbing
Hao, Guoliang
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Issue 1
Keywords Protein tyrosine kinase 6
Exosomes
Autophagy
Pancreatic cancer
Integrins α3
Integrin β4
Language English
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Snippet Pancreatic cancer (PC) is a highly malignant tumor with an extremely poor prognosis, but early diagnosis and treatment can significantly improve prognosis....
Abstract Pancreatic cancer (PC) is a highly malignant tumor with an extremely poor prognosis, but early diagnosis and treatment can significantly improve...
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SubjectTerms Apoptosis
Autophagy
Biomarkers
Breast cancer
Cancer Research
Exosomes
Gene expression
Immunotherapy
Integrin β4
Integrins α3
Internal Medicine
Medical prognosis
Medicine
Medicine & Public Health
Metastasis
Molecular Medicine
Oncology
Pancreatic cancer
Protein tyrosine kinase 6
Proteins
Radiotherapy
Regression analysis
Software
Surgical Oncology
Survival analysis
Tumors
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Title Prognostic analysis and mechanistic exploration of the autophagy-related exosome genes ITGA3, ITGB4, and PTK6 in pancreatic ductal adenocarcinoma
URI https://link.springer.com/article/10.1007/s12672-025-03061-6
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Volume 16
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