Integrative big transcriptomics data analysis implicates crucial role of MUC13 in pancreatic cancer.

ABSTRACT: Big data analysis holds a considerable influence on several aspects of biomedical health science. It permits healthcare providers to gain insights from large and complex datasets, leading to improvements in the understanding, diagnosis, medication, and restraint of pathological conditions including cancer. The incidences of pancreatic cancer (PanCa) are sharply rising, and it will become the second leading cause of cancer related deaths by 2030. Various traditional biomarkers are currently in use but are not optimal in sensitivity and specificity. Herein, we determine the role of a new transmembrane glycoprotein, MUC13, as a potential biomarker of pancreatic ductal adenocarcinoma (PDAC) by using integrative big data mining and transcriptomic approaches. This study is helpful to identify an

SUBMITTER: Dhasmana A 

PROVIDER: S-EPMC10192752 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature