Identification of a 26-lncRNAs Risk Model for Predicting Overall Survival of Cervical Squamous Cell Carcinoma Based on Integrated Bioinformatics Analysis-Reference-Cited by-同舟云学术

Identification of a 26-lncRNAs Risk Model for Predicting Overall Survival of Cervical Squamous Cell Carcinoma Based on Integrated Bioinformatics Analysis

Published:2019-04 Issue:4 Volume:38 Page:322-332
ISSN:1044-5498
Container-title:DNA and Cell Biology
language:en
Short-container-title:DNA and Cell Biology

Author:

Mao Yu¹,Fu Zhanzhao¹,Dong Lixin¹,Zheng Yue¹,Dong Jing¹,Li Xin¹

Affiliation:

1. Department of Oncology, First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China.

Publisher

Mary Ann Liebert Inc

Subject

Cell Biology,Genetics,Molecular Biology,General Medicine

Link

https://www.liebertpub.com/doi/pdf/10.1089/dna.2018.4533

Reference34 articles.

1. ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks

2. A 25-gene classifier predicts overall survival in resectable pancreatic cancer

3. Oncostatin M receptor is a novel therapeutic target in cervical squamous cell carcinoma

4. Intersecting transcriptomic profiling technologies and long non-coding RNA function in lung adenocarcinoma: discovery, mechanisms, and therapeutic applications

5. Identification of a long non-coding RNA as a novel biomarker and potential therapeutic target for metastatic prostate cancer

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