[No authors listed]
BACKGROUND:Poor prognosis of pancreatic cancer (PanCa) is associated with lack of an effective early diagnostic biomarker. This study elucidates significance of MUC13, as a diagnostic/prognostic marker of PanCa. METHODS:MUC13 was assessed in tissues using our in-house generated anti-MUC13 mouse monoclonal antibody and analyzed for clinical correlation by immunohistochemistry, immunoblotting, RT-PCR, computational and submicron scale mass-density fluctuation analyses, ROC and Kaplan Meir curve analyses. RESULTS:MUC13 expression was detected in 100% pancreatic intraepithelial neoplasia (PanIN) lesions (Mean composite score: MCSÂ =Â 5.8; AUC >0.8, PÂ <Â 0.0001), 94.6% of pancreatic ductal adenocarcinoma (PDAC) samples (MCSÂ =Â 9.7, PÂ <Â 0.0001) as compared to low expression in tumor adjacent tissues (MCSÂ =Â 4, PÂ <Â 0.001) along with faint or no expression in normal pancreatic tissues (MCSÂ =Â 0.8; AUC >0.8; PÂ <Â 0.0001). Nuclear MUC13 expression positively correlated with nodal metastasis (PÂ <Â 0.05), invasion of cancer to peripheral tissues (PÂ <Â 0.5) and poor patient survival (PÂ <Â 0.05; prognostic AUCÂ =Â 0.9). Submicron scale mass density and artificial intelligence based algorithm analyses also elucidated association of MUC13 with greater morphological disorder (PÂ <Â 0.001) and nuclear MUC13 as strong predictor for cancer aggressiveness and poor patient survival. CONCLUSION:This study provides significant information regarding MUC13 expression/subcellular localization in PanCa samples and supporting the use anti-MUC13 MAb for the development of PanCa diagnostic/prognostic test.
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