Inferences of individual drug responses across diverse cancer types using a novel competing endogenous RNA network

Molecular Oncology
Yan ZhangXia Li

Abstract

Differences in individual drug responses are an obstacle to progression in cancer treatment, and predicting responses would help to plan treatment. The accumulation of cancer molecular profiling and drug response data provides opportunities and challenges to identify novel molecular signatures and mechanisms of tumor responsiveness to drugs. This study evaluated drug responses with a competing endogenous RNA (ceRNA) system that depended on competition between diverse RNA species. We identified drug response-related ceRNA (DRCEs) by combining the sequence and expression data of long noncoding RNA (lncRNA), microRNA (miRNA), and messenger RNA (mRNA), and the survival data of cancer patients treated with drugs. We constructed a patient-drug two-layer integrated network and used a linear weighting method to predict individual drug responses. DRCEs were found to be significantly enriched in known cancer and drug-associated data resources, involved in biological processes known to mediate drug responses, and correlated to drug activity in cancer cell lines. The dysregulation of DRCE expression influenced drug response-associated functions and pathways, suggesting DRCEs as potential therapeutic targets affecting drug responses. A furt...Continue Reading

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Citations

Apr 28, 2018·International Journal of Molecular Sciences·Jia Jia Chan, Yvonne Tay
Aug 14, 2019·Oncology Letters·Jing LiZhiyu Lv
Nov 13, 2020·BioMed Research International·Jinghan LinYonghui Pan
Nov 12, 2021·Frontiers in Oncology·Guangbing XiongRenyi Qin

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Methods Mentioned

BETA
biopsy

Software Mentioned

cellminer
‐ Descriptor
R package ‘ GOstats ’
Ensembl
STAD
PaDEL

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