Author/Authors :
Fan, Yue Department of Integrated TCM & Western Medicine - Zhongshan Hospital - Fudan University - Shanghai, China , Li, Tianyu Department of Integrated TCM & Western Medicine - Zhongshan Hospital - Fudan University - Shanghai, China , Xu, Lili Department of Integrated TCM & Western Medicine - Zhongshan Hospital - Fudan University - Shanghai, China , Kuang, Tiantao Department of General Surgery - Zhongshan Hospital - Fudan University - Shanghai, China
Abstract :
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 KaplanMeier 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.
Keywords :
TGFBR1 , LGALS9 , Analysis , Biomarkers