Comprehensive Analysis of Immunoinhibitors Identifies LGALS9 and TGFBR1 as Potential Prognostic Biomarkers for Pancreatic Cancer

Autor: Yue Fan, Tianyu Li, Lili Xu, Tiantao Kuang
Rok vydání: 2020
Předmět:
Article Subject
Galectins
Computer applications to medicine. Medical informatics
R858-859.7
Biology
medicine.disease_cause
General Biochemistry
Genetics and Molecular Biology
Transforming Growth Factor beta1
03 medical and health sciences
0302 clinical medicine
Cell-matrix adhesion
Pancreatic cancer
Biomarkers
Tumor
Suppressor Factors
Immunologic
medicine
Humans
Gene Regulatory Networks
Protein Interaction Maps
RNA
Messenger
030304 developmental biology
0303 health sciences
Hippo signaling pathway
General Immunology and Microbiology
Gene Expression Profiling
Applied Mathematics
Computational Biology
Mathematical Concepts
General Medicine
Prognosis
medicine.disease
Gene Expression Regulation
Neoplastic
Pancreatic Neoplasms
Type I interferon signaling pathway
030220 oncology & carcinogenesis
Modeling and Simulation
Mesoderm formation
Cancer research
Biomarker (medicine)
Signal transduction
Carcinogenesis
Research Article
Zdroj: Computational and Mathematical Methods in Medicine, Vol 2020 (2020)
Computational and Mathematical Methods in Medicine
ISSN: 1748-6718
1748-670X
DOI: 10.1155/2020/6138039
Popis: Pancreatic cancer (PC) is one of the most deadly cancers worldwide. To uncover the unknown novel biomarker used to indicate early diagnosis and prognosis in the molecular therapeutic field of PC is extremely of importance. Accumulative evidences indicated that aberrant expression or activation of immunoinhibitors is a common phenomenon in malignances, and significant associations have been noted between immunoinhibitors and tumorigenesis or progression in a wide range of cancers. However, the expression patterns and exact roles of immunoinhibitors contributing to tumorigenesis and progression of pancreatic cancer (PC) have not yet been elucidated clearly. In this study, we investigated the distinct expression and prognostic value of immunoinhibitors in patients with PC by analyzing a series of databases, including TISIDB, GEPIA, cBioPortal, and Kaplan-Meier plotter database. The mRNA expression levels of IDO1, CSF1R, VTCN1, KDR, LGALS9, TGFBR1, TGFB1, IL10RB, and PVRL2 were found to be significantly upregulated in patients with PC. Aberrant expression of TGFBR1, VTCN1, and LGALS9 was found to be associated with the worse outcomes of patients with PC. Bioinformatics analysis demonstrated that LGALS9 was involved in regulating the type I interferon signaling pathway, interferon-gamma-mediated signaling pathway, RIG-I-like receptor signaling pathway, NF-kappa B signaling pathway, cytosolic DNA-sensing pathway, and TNF signaling pathway. And TGFB1 was related to mesoderm formation, cell matrix adhesion, TGF-beta signaling pathway, and Hippo signaling pathway. These results suggested that LGALS9 and TGFBR1 might serve as potential prognostic biomarkers and targets for PC.
Databáze: OpenAIRE
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