Literature DB >> 32882325

Development and validation of a six-RNA binding proteins prognostic signature and candidate drugs for prostate cancer.

Lei Gao1, Jialin Meng2, Yong Zhang1, Junfei Gu1, Zhenwei Han1, Xiaolu Wang3, Shenglin Gao4.   

Abstract

The dysregulation of RNA binding proteins (RBPs) regulates the progression of several cancers. However, information on the overall functions of RBPs in prostate cancer (PCa) remains largely understudied. Therefore, based on the TCGA dataset, this study identified 144 differentially expressed RBPs in tumors compared to normal tissues. Subsequently, through univariate, LASSO and multivariate Cox regression analysis, 6 RBP genes among them, MSI1, MBNL2, LENG9, REXO2, RNASE1, and PABPC1L were screened as prognostic hub genes and prognostic signature was further identified. Further analysis indicated that the high-risk group was significantly associated with poor RFS, which was validated in the MSKCC cohort. Besides, patients in the high-risk group were closely associated with dysregulation of DNA damage repair pathway, copy number alteration, tumor burden mutation, and low-response to cisplatin (P < 0.001), and bicalutamide (P < 0.001). Using the Connectivity Map, we finally predicted 3 drugs including, ribavirin, carmustine, and carbenoxolone. In summary, we identified six-RBP gene signature and 3 potential drugs against PCa, which might promote the individualized treatment strategies and further improve the quality of life among PCa patients.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Candidate drugs; Chemotherapy response; GSEA; Prostate cancer; RNA-binding proteins; Recurrence-free survival

Year:  2020        PMID: 32882325     DOI: 10.1016/j.ygeno.2020.08.034

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  6 in total

Review 1.  Interaction Between LncRNA and UPF1 in Tumors.

Authors:  Junjian He; Xiaoxin Ma
Journal:  Front Genet       Date:  2021-03-01       Impact factor: 4.599

2.  Characterization of a Pyroptosis-Related Signature for Prognosis Prediction and Immune Microenvironment Infiltration in Prostate Cancer.

Authors:  Guian Zhang; Yong Luo; Weimin Dong; Weide Zhong
Journal:  Comput Math Methods Med       Date:  2022-04-27       Impact factor: 2.809

3.  Gene expression analysis reveals a 5-gene signature for progression-free survival in prostate cancer.

Authors:  Zhuofan Mou; Jack Spencer; Bridget Knight; Joseph John; Paul McCullagh; John S McGrath; Lorna W Harries
Journal:  Front Oncol       Date:  2022-08-12       Impact factor: 5.738

4.  Identification of a three-gene-based prognostic model in multiple myeloma using bioinformatics analysis.

Authors:  Ying Pan; Ye Meng; Zhimin Zhai; Shudao Xiong
Journal:  PeerJ       Date:  2021-06-28       Impact factor: 2.984

5.  RNA-binding proteins modulate drug sensitivity of cancer cells.

Authors:  Oliver Rogoyski; André P Gerber
Journal:  Emerg Top Life Sci       Date:  2021-11-12

Review 6.  Proteins from the DNA Damage Response: Regulation, Dysfunction, and Anticancer Strategies.

Authors:  Caroline Molinaro; Alain Martoriati; Katia Cailliau
Journal:  Cancers (Basel)       Date:  2021-07-29       Impact factor: 6.639

  6 in total

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