Literature DB >> 31302201

Systematic identification of dysregulated lncRNAs associated with platinum-based chemotherapy response across 11 cancer types.

Yanjiao Zhu1, Yichuan Zhao1, Siyao Dong1, Lu Liu1, Lin Tai1, Yan Xu2.   

Abstract

Aberrant expression of long non-coding RNAs (lncRNAs) leads to the development of chemoresistance by regulating a series of biological processes, which is one of the major obstacles in the cancer treatment. This study aimed to identify some key lncRNAs that are associated with platinum-based chemoresistance in multiple cancers. Regulating the expression levels of these lncRNAs can enhance the sensitivity of patients to chemotherapy drugs and improve the therapeutic effect of cancer. By systematically analyzing 648 samples regarding platinum drug response from the Cancer Genome Atlas (TCGA), we have identified 32 dysregulated lncRNAs across 11 cancer types that could affect platinum-based chemotherapy response, of which 78.125% (25/32) were significantly down-regulated in drug-resistant samples. Drug response prediction model that had been constructed based on the expression pattern of these dysregulated lncRNAs could accurately predict the chemotherapy response of tumor patients, and the area under the curve (AUC) was between 0.8034 and 0.9984. In particular, all of these dysregulated lncRNAs that we identified were cancer-specific. They were significantly associated with the survival of tumor patients and could serve as cancer-specific biomarkers for prognosis. In conclusion, this study will contribute to improving the drug resistance of tumor patients during chemotherapy, and it is of real significance for selecting effective chemotherapy drugs and achieving precision medicine.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aberrant expression; Cancer; Chemoresistance; Platinum; Prognosis; lncRNAs

Mesh:

Substances:

Year:  2019        PMID: 31302201     DOI: 10.1016/j.ygeno.2019.07.007

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


  3 in total

Review 1.  Platinum-resistant ovarian cancer: From drug resistance mechanisms to liquid biopsy-based biomarkers for disease management.

Authors:  Mohammad Aslam Khan; Kunwar Somesh Vikramdeo; Sarabjeet Kour Sudan; Seema Singh; Annelise Wilhite; Santanu Dasgupta; Rodney Paul Rocconi; Ajay Pratap Singh
Journal:  Semin Cancer Biol       Date:  2021-08-18       Impact factor: 15.707

2.  An Independent Prognostic Model Based on Ten Autophagy-Related Long Noncoding RNAs in Pancreatic Cancer Patients.

Authors:  Jiahui Tian; Chunyan Fu; Xuan Zeng; Xiaoxiao Fan; Yi Wu
Journal:  Genet Res (Camb)       Date:  2022-05-14       Impact factor: 1.375

3.  The Long Non-Coding RNA SNHG12 as a Mediator of Carboplatin Resistance in Ovarian Cancer via Epigenetic Mechanisms.

Authors:  Cecilie Abildgaard; Luisa Matos do Canto; Cláudia Aparecida Rainho; Fabio Albuquerque Marchi; Naiade Calanca; Marianne Waldstrøm; Karina Dahl Steffensen; Silvia Regina Rogatto
Journal:  Cancers (Basel)       Date:  2022-03-25       Impact factor: 6.639

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.