Universität zu Köln

Zhou, Chenhao ORCID: 0000-0002-4800-3249, Zhao, Yue, Yin, Yirui, Hu, Zhiqiu, Atyah, Manar, Chen, Wanyong, Meng, Zhefeng, Mao, Huarong, Zhou, Qiang, Tang, Weiguo, Wang, Pengcheng, Li, Zhanming, Weng, Jialei, Bruns, Christiane, Popp, Marie, Popp, Felix, Dong, Qiongzhu and Ren, Ning ORCID: 0000-0001-9776-2471 (2019). A robust 6-mRNA signature for prognosis prediction of pancreatic ductal adenocarcinoma. Int. J. Biol. Sci., 15 (11). S. 2282 - 2296. LAKE HAVEN: IVYSPRING INT PUBL. ISSN 1449-2288

Full text not available from this repository.

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is one of the most fatal malignancies worldwide. PDAC prognostic and diagnostic biomarkers are still being explored. The aim of this study is to establish a robust molecular signature that can improve the ability to predict PDAC prognosis. 155 overlapping differentially expressed genes between tumor and non-tumor tissues from three Gene Expression Omnibus (GEO) datasets were explored. A least absolute shrinkage and selection operator method (LASSO) Cox regression model was employed for selecting prognostic genes. We developed a 6-mRNA signature that can distinguish high PDAC risk patients from low risk patients with significant differences in overall survival (OS). We further validated this signature prognostic value in three independent cohorts (GEO batch, P < 0.0001; ICGC, P = 0.0036; Fudan, P = 0.029). Furthermore, we found that our signature remained significant in patients with different histologic grade, TNM stage, locations of tumor entity, age and gender. Multivariate cox regression analysis showed that 6-mRNA signature can be an independent prognostic marker in each of the cohorts. Receiver operating characteristic curve (ROC) analysis also showed that our signature possessed a better predictive role of PDAC prognosis. Moreover, the gene set enrichment analysis (GSEA) analysis showed that several tumorigenesis and metastasis related pathways were indeed associated with higher scores of risk. In conclusion, identifying the 6-mRNA signature could provide a valuable classification method to evaluate clinical prognosis and facilitate personalized treatment for PDAC patients. New therapeutic targets may be developed upon the functional analysis of the classifier genes and their related pathways.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Zhou, Chenhao UNSPECIFIED orcid.org/0000-0002-4800-3249 UNSPECIFIED Zhao, Yue UNSPECIFIED UNSPECIFIED UNSPECIFIED Yin, Yirui UNSPECIFIED UNSPECIFIED UNSPECIFIED Hu, Zhiqiu UNSPECIFIED UNSPECIFIED UNSPECIFIED Atyah, Manar UNSPECIFIED UNSPECIFIED UNSPECIFIED Chen, Wanyong UNSPECIFIED UNSPECIFIED UNSPECIFIED Meng, Zhefeng UNSPECIFIED UNSPECIFIED UNSPECIFIED Mao, Huarong UNSPECIFIED UNSPECIFIED UNSPECIFIED Zhou, Qiang UNSPECIFIED UNSPECIFIED UNSPECIFIED Tang, Weiguo UNSPECIFIED UNSPECIFIED UNSPECIFIED Wang, Pengcheng UNSPECIFIED UNSPECIFIED UNSPECIFIED Li, Zhanming UNSPECIFIED UNSPECIFIED UNSPECIFIED Weng, Jialei UNSPECIFIED UNSPECIFIED UNSPECIFIED Bruns, Christiane UNSPECIFIED UNSPECIFIED UNSPECIFIED Popp, Marie UNSPECIFIED UNSPECIFIED UNSPECIFIED Popp, Felix UNSPECIFIED UNSPECIFIED UNSPECIFIED Dong, Qiongzhu UNSPECIFIED UNSPECIFIED UNSPECIFIED Ren, Ning UNSPECIFIED orcid.org/0000-0001-9776-2471 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-160603
DOI:	10.7150/ijbs.32899
Journal or Publication Title:	Int. J. Biol. Sci.
Volume:	15
Number:	11
Page Range:	S. 2282 - 2296
Date:	2019
Publisher:	IVYSPRING INT PUBL
Place of Publication:	LAKE HAVEN
ISSN:	1449-2288
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language MALIGNANT CHARACTER; SIGNALING PATHWAY; CANCER; SURVIVAL; CARCINOMA; INPP4B; ASSOCIATION; BURDEN; GRADE Multiple languages Biochemistry & Molecular Biology; Biology Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/16060