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ABSTRACT: Background
It is urgent to explore the potential biomarkers for pancreatic cancer (PC) prognosis and treatment to improve patients' outcomes.Methods
Firstly, we performed an integrated bioinformatics analysis based on extensive transcriptome data from 615 PC tumors and 329 adjacent tissues, screening for genes with prognostic value. We then validated the prognostic value of OCIAD2, DCBLD2, and SAMD9 in different datasets and analyzed their expression levels in single-cell sequencing datasets of normal, paracancer, primary, and metastatic tissues. Next, we further explored the carcinogenic effect after knocking down the expression of OCIAD2 in PC cancer cell line. Finally, a drug sensitivity analysis was conducted.Results
Differentially expressed genes (DEGs) analysi
SUBMITTER: Cui Z
PROVIDER: S-EPMC12517509 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature