Articles written in Journal of Biosciences
Volume 46 All articles Published: 23 July 2021 Article ID 0068 Article
Autophagy affects the development, progression, and prognosis of various cancers including pancreatic cancer.To develop an autophagy-related prognostic model of pancreatic cancer, we systematically analyzed geneexpression profile from The Cancer Genome Atlas and Genotype-Tissue Expression. Ten autophagy-relevantgenes with potential prognostic values were identified, based on which a prognostic model was constructed.We divided patients into a high- and a low-risk group with this model. Time-dependent receiver operatingcharacteristic and Kaplan–Meier curves were conducted to evaluate the accuracy of the model. The Area UnderCurvevalues of this model at 12, 18, and 24 months were 0.76, 0.73, and 0.78, respectively. The model wasfurther validated in two Gene Expression Omnibus datasets. Gene set enrichment analysis and Cibersort wereapplied to analyze immune infiltration patterns and immune checkpoint blockade (ICB) molecules. Theexpression of ICB molecules, such as PD-L1 and PD1, presented significant correlation with the risk score. Inconclusion, the risk score model established herein has been proved to be robust for evaluating the prognosis ofpancreatic cancer and facilitate to improve the efficacy of ICB.
Volume 46, 2020
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