首页|CTRR-ncRNA:A Knowledgebase for Cancer Therapy Resistance and Recurrence Associated Non-coding RNAs

CTRR-ncRNA:A Knowledgebase for Cancer Therapy Resistance and Recurrence Associated Non-coding RNAs

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Cancer therapy resistance and recurrence(CTRR)are the dominant causes of death in cancer patients.Recent studies have indicated that non-coding RNAs(ncRNAs)can not only reverse the resistance to cancer therapy but also are crucial biomarkers for the evaluation and prediction of CTRR.Herein,we developed CTRR-ncRNA,a knowledgebase of CTRR-associated ncRNAs,aim-ing to provide an accurate and comprehensive resource for research involving the association between CTRR and ncRNAs.Compared to most of the existing cancer databases,CTRR-ncRNA is focused on the clinical characterization of cancers,including cancer subtypes,as well as survival outcomes and responses to personalized therapy of cancer patients.Information pertain-ing to biomarker ncRNAs has also been documented for the development of personalized CTRR prediction.A user-friendly interface and several functional modules have been incorporated into the database.Based on the preliminary analysis of genotype-phenotype relationships,universal ncRNAs have been found to be potential biomarkers for CTRR.The CTRR-ncRNA is a translation-oriented knowledgebase and it provides a valuable resource for mechanistic investiga-tions and explainable artificial intelligence-based modeling.CTRR-ncRNA is freely available to the public at http://ctrr.bioinf.org.cn/.

Translational bioinformaticsTherapeutic resistanceCancer recurrenceNon-coding RNAKnowledgebase

Tong Tang、Xingyun Liu、Rongrong Wu、Li Shen、Shumin Ren、Bairong Shen

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Institutes for Systems Genetics,Frontiers Science Centre for Disease-related Molecular Network,West China Hospital,Sichuan University,Chengdu 610041,China

West China School of Medicine,Sichuan University,Chengdu 610041,China

National Natural Science Foundation of Chinaregional innovation cooperation between Sichuan and Guangxi Provinces of China

320706712020YFQ0019

2023

10.1016/j.gpb.2022.10.003

基因组蛋白质组与生物信息学报(英文版)
中国科学院北京基因组研究所

基因组蛋白质组与生物信息学报(英文版)

CSTPCDCSCD
影响因子：0.495
ISSN：1672-0229
年,卷(期)：2023.21(2)
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