Literature DB >> 29136952

Identification and validation of cetuximab resistance associated long noncoding RNA biomarkers in metastatic colorectal cancer.

Ke Peng1, Ruiqi Liu1, Yiyi Yu1, Li Liang1, Shan Yu1, Xiaojing Xu1, Tianshu Liu2.   

Abstract

BACKGROUND: Cetuximab is one of the most widely used epidermal growth factor receptor (EGFR) inhibitors to treat patients with metastatic colorectal cancer (mCRC) harboring wild-type of RAS/RAF status. However, primary and acquired resistance to cetuximab is often found during target therapy.
METHODS: To gain insights into the functions of long non-coding RNA (lncRNA) in cetuximab resistance, we used a lncRNA-mining approach to distinguish lncRNA specific probes in Affymetrix HG-U133A 2.0 arrays. Then we performed lncRNA expression profiling in a cetuximab treated mCRC cohort from Gene Expression Ominus (GEO). The potential lncRNAs were further validated in acquired cetuximab resistant cell lines and clinical samples of our hospital. The functions and associated pathways of the prognostic lncRNA were predicted by GO and KEGG analyses.
RESULTS: 249 lncRNA-specific probe sets (corresponding to 212 lncRNAs) were represented in Affymetrix HG-U133A 2.0 arrays. We found that 9 lncRNAs were differentially expressed between disease control group (DCG) and non-responders, and 5 of these 9 lncRNAs were significantly related with the progression-free survival (PFS) of the patients. Among those 5 lncRNAs, POU5F1P4 was also down-regulated in acquired cetuximab resistant cells, as well as in cetuximab resistant patients. Downregulation of POU5F1P4 decreased the sensitivity of colorectal cancer cells to cetuximab.
CONCLUSION: Our findings indicate the potential roles of lncRNAs in cetuximab resistance, and may provide the useful information for discovery of new biomarkers and therapeutic targets.
Copyright © 2017 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Cetuximab; EGFR inhibitor; Metastatic colorectal cancer; Progression-free survival; lncRNA

Mesh:

Substances:

Year:  2017        PMID: 29136952     DOI: 10.1016/j.biopha.2017.11.031

Source DB:  PubMed          Journal:  Biomed Pharmacother        ISSN: 0753-3322            Impact factor:   6.529


  12 in total

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