Five gene signatures were identified in the prediction of overall survival in resectable pancreatic cancer

Abstract

Background Although genes have been previously detected in pancreatic cancer (PC), aberrant genes that play roles in resectable pancreatic cancer should be further assessed. Methods Messenger RNA samples and clinicopathological data corrected with PC were downloaded from The Cancer Genome Atlas (TCGA). Resectable PC patients were randomly divided into a primary set and a validation set. Univariable Cox regression analysis, lasso-penalized Cox regression analysis, and multivariable Cox analysis were implemented to distinguish survival-related genes (SRGs). A risk score based on the SRGs was calculated by univariable Cox regression analysis. A genomic-clinical nomogram was established by integrating the risk score and clinicopathological data to predict overall survival (OS) in resectable PC. Results Five survival-related genes (AADAC, DEF8, HIST1H1C, MET, and CHFR) were significantly correlated with OS in resectable PC. The resectable PC patients, based on risk score, were sorted into a high-risk group that showed considerably unfavorable OS (p < 0.001) than the low-risk group, in both the primary set and the validation set. The concordance index (C-index) was calculated to evaluate the predictive performance of the nomogram were respectively in the primary set [0.696 (0.608–0.784)] and the validation set [0.682 (0.606–0.758)]. Additionally, gene set enrichment Analysis discovered several meaningful enriched pathways. Conclusion Our study identified five prognostic gene biomarkers for OS prediction and which facilitate postoperative molecular target therapy for the resectable PC, especially the nomic-clinical nomogram which may be used as an effective model for the postoperative OS evaluation and also an optimal therapeutic tool for the resectable PC.

Evaluation of gene expression of PLEKHS1, AADAC, and CDKN3 as novel genomic markers in gastric carcinoma

“…Wu et al [ 28 ] coincided with the present results as they found the AADAC gene to be one of five survival-related genes significantly upregulated and significantly correlated with overall survival (OS) in resectable pancreatic cancer (PC) by using the TCGA database followed by multivariant analysis. They explained their results as the protein coded by AADAC protein is extensively implicated in the hydrolysis of various drugs [ 9 ], whose function may be related to chemotherapy resistance in pancreatic cancer.…”

Identification of the Potential Biomarkers in Barrett’S Esophagus Derived Esophageal Adenocarcinoma

“…ADRA2A is thought to be involved in the progression of multiple cancer and can inhibit the activation of PI3K/Akt/mTOR pathway [23]. AADAC is a kind of serine hydrolase widely involved in the hydrolysis of drugs and associated with poor prognosis in stomach adenocarcinoma [24,25]. More future studies are needed to gain more insights into these genes.…”

A novel tp53-associated nomogram to predict the overall survival in patients with pancreatic cancer

“…ROC curves of 1, 3, and 5 years were plotted with the survivalROC R package. Then, we conducted the performance comparison of the signature in our study (referred to as TP53Sig) with eight recently published signatures: 6-mRNA signature from Hou’s study (referred to as HouSig) [ 18 ], 4-mRNA signature from Meng’s study (referred to as MengSig) [ 19 ], 8-mRNA signature from Meng’s study (referred to as MengSig) [ 20 ], 5-mRNA signature from Wu’s study (referred to as WuSig) [ 21 ], 7-mRNA signature from Wu’s study (referred to as WuSig) [ 22 ], 10-mRNA signature from Yue’s study (referred to as YueSig) [ 23 ], 2-mRNA signature from Zhou’s study (referred to as ZhouSig) [ 24 ] and 6-LncRNA signature from Deng’s study (referred to as DengSig) [ 25 ]. ROC curves of 3 years were plotted and AUC values were calculated using the survivalROC R package.…”