Identification and validation of a five-lncRNA signature for predicting survival with targeted drug candidates in ovarian cancer.
Identification and validation of a five-lncRNA signature for predicting survival with targeted drug candidates in ovarian cancer.
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鉴定和验证五长链非编码RNA特征,用于预测卵巢癌候选靶向药物的生存率
DOI:
10.1080/21655979.2021.1946632
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发表时间:
2021-12
期刊:
影响因子:
4.9
通讯作者:
Zhou X
中科院分区:
文献类型:
--
作者:
Lin N;Lin JZ;Tanaka Y;Sun P;Zhou X
ABSTRACT The dysregulation of long non-coding RNAs (lncRNAs) plays a crucial role in ovarian cancer (OC). In this study, we screened out five differentially expressed lncRNAs (AC092718.4, AC138035.1, BMPR1B-DT, RNF157-AS1, and TPT1-AS1) between OC and normal ovarian based on TCGA and GTEx RNA-seq databases by using Kaplan–Meier analysis and univariate Cox, LASSO, and multivariate Cox regression. Then, a risk signature was constructed, with 1, 3, 5-year survival prediction accuracy confirmed by ROC curves, and an online survival calculator for easier clinical use. With lncRNA-microRNA-mRNA regulatory networks established, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed, suggesting the involvement of a variety of cancer-related functions and pathways. Finally, five candidate small-molecule drugs (thioridazine, trifluoperazine, loperamide, LY294002, and puromycin) were predicted by Connectivity Map. In conclusion, we identified a 5-lncRNA signature of prognostic value with its ceRNA networks, and five candidate drugs against OC.
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DOI:
10.1038/nrc.2017.99
发表时间:
2018-01
期刊:
Nature reviews. Cancer
影响因子:
--
作者:
Anastasiadou E;Jacob LS;Slack FJ
通讯作者:
Slack FJ
影响因子:
9.3
作者:
Gong, Xing Wen;Xu, Yu Hong;Wang, Yong Xiang
通讯作者:
Wang, Yong Xiang
影响因子:
--
作者:
Park MS;Dong SM;Kim BR;Seo SH;Kang S;Lee EJ;Lee SH;Rho SB
通讯作者:
Rho SB
影响因子:
4.7
作者:
PEREZ, RP;HANDEL, LM;HAMILTON, TC
通讯作者:
HAMILTON, TC
DOI:
10.1038/nrd4140
发表时间:
2013-11
期刊:
Nature reviews. Drug discovery
影响因子:
--
作者:
Ling H;Fabbri M;Calin GA
通讯作者:
Calin GA