Evidence map›Paper›PMID 31404170›Full record

ArticleCancer cell international2019

A nomogram based on 9-lncRNAs signature for improving prognostic prediction of clear cell renal cell carcinoma.

Wen Jiang, Qing Guo, Chenghe Wang, Yu Zhu

Abstract read
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Article in Cancer cell international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
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25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Wen Jiang1Department of Urology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025 China.
Qing Guo2Department of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022 China.
Chenghe Wang1Department of Urology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025 China.
Yu Zhu1Department of Urology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025 China.ORCID 0000-0002-4411-0880

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbnormal expressions of long noncoding RNAs (lncRNAs) are very common in clear cell renal cell carcinoma (ccRCC), and some of these have been reported to be highly correlated with prognosis of ccRCC patients.

methods"edgeR" AND "DEseq" R packages were used to explore differentially expressed genes (DEGs) between normal and tumor tissues of ccRCC samples from The Cancer Genome Atlas (TCGA). Univariable Cox survival analysis, robust likelihood-based survival model and multivariable Cox regression analysis were used to identify prognostic lncRNAs and construct lncRNAs signature. Finally, a graphic nomogram based on the lncRNAs signature was developed to predict 1-, 3- and 5-year survival probability of ccRCC patients by using rms R package.

results8413 DEGs including 2740 lncRNAs and 4530 mRNAs were identified between normal and tumor tissues. 395 lncRNAs were found to be associated with prognosis of ccRCC patients (P < 0.05). Among these 395 prognostic lncRNAs, 9 key prognostic lncRNAs (RP13-463N16.6, CTD-2201E18.5, RP11-430G17.3, AC005785.2, RP11-2E11.9, TFAP2A-AS1, RP11-133F8.2, RP11-297L17.2 and RP11-348J24.2) were identified by using robust likelihood-based survival model. A 9-lncRNAs signature was constructed by using estimated regression coefficients of the 9 key prognostic lncRNAs. Results of χ

conclusionsA 9-lncRNAs signature associated with prognosis of ccRCC patients was constructed and a promising prognostic nomogram based on the 9-lncRNAs signature was developed for 1-, 3- and 5-year OS prediction of ccRCC patients in this study.

Indexed as

Clear cell renal cell carcinoma (ccRCC)Long noncoding RNA (lncRNA)NomogramPrognosisSurvival

Identifiers

PMID31404170
PMCPMC6683339

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