Details

Autor(en) / Beteiligte

• Chen, Ke
• He, Yiping
• Liu, Yuan
• Yang, Xiujiang

Titel

Gene signature associated with neuro‐endocrine activity predicting prognosis of pancreatic carcinoma

Ist Teil von

• Molecular genetics & genomic medicine, 2019-07, Vol.7 (7), p.e00729-n/a

Ort / Verlag

United States: John Wiley & Sons, Inc

Erscheinungsjahr

2019

Link zum Volltext

Quelle

Wiley Online Library Journals Frontfile Complete

Beschreibungen/Notizen

• Background Genomic analysis is the promising tool to clear understanding of the tumorigenesis and guide molecular classification for pancreatic cancer. Our purpose was to develop a critical predictive model for prognosis in pancreatic carcinoma, based on the genomic data. Methods The online The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) datasets were queried as training and validation cohorts for comprehensive bioinformatic analysis. We applied Lasso and multivariate Cox regression to shrink genes and construct predictive model. Results A four genes model (DNAH10: HR = 0.71, 95% CI = 0.57–0.88, HSBP1L1: HR = 1.51, 95% CI = 1.18–1.92, KIAA0513: HR = 0.69, 95% CI = 0.50–0.96, and MRPL3: HR = 3.73, 95% CI = 2.03–6.86), was proposed and validated. The C‐index was 0.73 (95% CI: 0.7–0.77). Patients in high‐risk and low‐risk group, stratified by model, suffered significantly different overall survival time (15.1 vs. 49.3 months, p < 0.0001 in TCGA; 423 vs. 618 days, p = 0.038 in ICGC). Taken clinical parameters into consideration, the risk‐score was independent marker in clinical subpopulation. To explore the molecular mechanisms, 579 differential expression genes (DEG) in two groups were identified by edgeR. Functional enrichment of DEG indicated neuro‐endocrine activity was the potential mechanism for the discrepant prognosis. Conclusion A specific four genes signature with the ability to predicted survival of pancreatic carcinoma was generated, which may indicate the connection between neuro‐endocrine activity and patients’ prognosis. The neuro‐endocrine activity in pancreatic exocrine cancer is largely unknown and highly on‐debated. The diabetes associated pancreatic cancer is a critical evidence for the potential connection. While, in our work, we initially reported the neuro‐endocrine activity prompted the cancer progression, based on the genetic analysis of online The Cancer Genome Atlas and International Cancer Genome Consortium cancer cohorts of pancreatic cancer.