Implications of prognosis-associated genes in pancreatic tumor metastasis: lessons from global studies in bioinformatics.

ABSTRACT: Pancreatic cancer (PC) is a highly lethal malignancy with a 5-year survival rate of 10%. The occurrence of metastasis, among other hallmarks, is the main contributor to its poor prognosis. Consequently, the elucidation of metastatic genes involved in the aggressive nature of the disease and its poor prognosis will result in the development of new treatment modalities for improved management of PC. There is a deep interest in understanding underlying disease pathology, identifying key prognostic genes, and genes associated with metastasis. Computational approaches, which have become increasingly relevant over the last decade, are commonly used to explore such interests. This review aims to address global studies that have employed global approaches to identify prognostic and metastatic gene

SUBMITTER: Kisling SG 

PROVIDER: S-EPMC8556170 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature