Universität zu Köln

Zhou, Chenhao ORCID: 0000-0002-4800-3249, Wang, Shun, Zhou, Qiang, Zhao, Jin, Xia, Xianghou, Chen, Wanyong, Zheng, Yan, Xue, Min, Yang, Feng, Fu, Deliang, Yin, Yirui, Atyah, Manar, Qin, Lunxiu, Zhao, Yue, Bruns, Christiane, Jia, Huliang, Ren, Ning ORCID: 0000-0001-9776-2471 and Dong, Qiongzhu (2019). A Long Non-coding RNA Signature to Improve Prognostic Prediction of Pancreatic Ductal Adenocarcinoma. Front. Oncol., 9. LAUSANNE: FRONTIERS MEDIA SA. ISSN 2234-943X

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Abstract

Background: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most aggressive solid malignant tumors worldwide. Increasing investigations demonstrate that long non-coding RNAs (lncRNAs) expression is abnormally dysregulated in cancers. It is crucial to identify and predict the prognosis of patients for the selection of further therapeutic treatment. Methods: PDAC lncRNAs abundance profiles were used to establish a signature that could better predict the prognosis of PDAC patients. The least absolute shrinkage and selection operator (LASSO) Cox regression model was applied to establish a multi-lncRNA signature in the TCGA training cohort (N = 107). The signature was then validated in a TCGA validation cohort (N = 70) and another independent Fudan cohort (N = 46). Results: A five-lncRNA signature was constructed and it was significantly related to the overall survival (OS), either in the training or validation cohorts. Through the subgroup and Cox regression analyses, the signature was proven to be independent of other clinic-pathologic parameters. Receiver operating characteristic curve (ROC) analysis also indicated that our signature had a better predictive capacity of PDAC prognosis. Furthermore, ClueGO and CluePedia analyses showed that a number of cancer-related and drug response pathways were enriched in high risk groups. Conclusions: Identifying the five-lncRNA signature (RP11-159F24.5, RP11-744N12.2, RP11-388M20.1, RP11-356C4.5, CTC-459F4.9) may provide insight into personalized prognosis prediction and new therapies for PDAC patients.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Zhou, Chenhao UNSPECIFIED orcid.org/0000-0002-4800-3249 UNSPECIFIED Wang, Shun UNSPECIFIED UNSPECIFIED UNSPECIFIED Zhou, Qiang UNSPECIFIED UNSPECIFIED UNSPECIFIED Zhao, Jin UNSPECIFIED UNSPECIFIED UNSPECIFIED Xia, Xianghou UNSPECIFIED UNSPECIFIED UNSPECIFIED Chen, Wanyong UNSPECIFIED UNSPECIFIED UNSPECIFIED Zheng, Yan UNSPECIFIED UNSPECIFIED UNSPECIFIED Xue, Min UNSPECIFIED UNSPECIFIED UNSPECIFIED Yang, Feng UNSPECIFIED UNSPECIFIED UNSPECIFIED Fu, Deliang UNSPECIFIED UNSPECIFIED UNSPECIFIED Yin, Yirui UNSPECIFIED UNSPECIFIED UNSPECIFIED Atyah, Manar UNSPECIFIED UNSPECIFIED UNSPECIFIED Qin, Lunxiu UNSPECIFIED UNSPECIFIED UNSPECIFIED Zhao, Yue UNSPECIFIED UNSPECIFIED UNSPECIFIED Bruns, Christiane UNSPECIFIED UNSPECIFIED UNSPECIFIED Jia, Huliang UNSPECIFIED UNSPECIFIED UNSPECIFIED Ren, Ning UNSPECIFIED orcid.org/0000-0001-9776-2471 UNSPECIFIED Dong, Qiongzhu UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-127924
DOI:	10.3389/fonc.2019.01160
Journal or Publication Title:	Front. Oncol.
Volume:	9
Date:	2019
Publisher:	FRONTIERS MEDIA SA
Place of Publication:	LAUSANNE
ISSN:	2234-943X
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language COLORECTAL-CANCER; SURVIVAL; IDENTIFICATION; BIOLOGY; GENOME; GRADE Multiple languages Oncology Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/12792