PAC-5 Gene Expression Signature for Predicting Prognosis of Patients with Pancreatic Adenocarcinoma

• Published in: Cancers Vol. 11; no. 11; p. 1749
• Main Authors: Kim, Jieun, Jo, Yong Hwa, Jang, Miran, Nguyen, Ngoc Ngo Yen, Yun, Hyeong Rok, Ko, Seok Hoon, Shin, Yoonhwa, Lee, Ju-Seog, Kang, Insug, Ha, Joohun, Choi, Tae Gyu, Kim, Sung Soo
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 07-11-2019; MDPI
• Subjects: Adenocarcinoma; Cancer; Datasets; DNA methylation; Enzyme inhibitors; Gene expression; Lymphatic system; Medical prognosis; Metastasis; Pancreas; Patients; Regression analysis; Survival; Survival analysis; Therapeutic targets; prognostic prediction; pancreatic adenocarcinoma; gene expression signature; adjuvant therapies
• ISSN: 2072-6694; 2072-6694
• DOI: 10.3390/cancers11111749

Pancreatic adenocarcinoma (PAC) is one of the most aggressive malignancies. Intratumoural molecular heterogeneity impedes improvement of the overall survival rate. Current pathological staging system is not sufficient to accurately predict prognostic outcomes. Thus, accurate prognostic model for patient survival and treatment decision is demanded. Using differentially expressed gene analysis between normal pancreas and PAC tissues, the cancer-specific genes were identified. A prognostic gene expression model was computed by LASSO regression analysis. The PAC-5 signature (LAMA3, E2F7, IFI44, SLC12A2, and LRIG1) that had significant prognostic value in the overall dataset was established, independently of the pathological stage. We provided evidence that the PAC-5 signature further refined the selection of the PAC patients who might benefit from postoperative therapies. SLC12A2 and LRIG1 interacted with the proteins that were implicated in resistance of EGFR kinase inhibitor. DNA methylation was significantly involved in the gene regulations of the PAC-5 signature. The PAC-5 signature provides new possibilities for improving the personalised therapeutic strategies. We suggest that the PAC-5 genes might be potential drug targets for PAC.