Evidence map›Paper›PMID 34040677›Full record

ArticleDisease markers2021

A Risk Signature with Autophagy-Related Long Noncoding RNAs for Predicting the Prognosis of Clear Cell Renal Cell Carcinoma: Based on the TCGA Database and Bioinformatics.

Yundong Xuan, Weihao Chen, Kan Liu, Yu Gao, Shidong Zuo, Baojun Wang, Xin Ma, Xu Zhang

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 20 citations in OpenAlex.

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  5. Genes · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yundong XuanMedical School of Chinese PLA, Beijing 100853, China.
Weihao ChenDepartment of Urology, The Third Medical Centre, Chinese PLA (People's Liberation Army) General Hospital, Beijing 100853, China.
Kan LiuDepartment of Urology, The Third Medical Centre, Chinese PLA (People's Liberation Army) General Hospital, Beijing 100853, China.
Yu GaoDepartment of Urology, The Third Medical Centre, Chinese PLA (People's Liberation Army) General Hospital, Beijing 100853, China.
Shidong ZuoMedical School of Chinese PLA, Beijing 100853, China.
Baojun WangDepartment of Urology, The Third Medical Centre, Chinese PLA (People's Liberation Army) General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0003-4036-9470
Xin MaDepartment of Urology, The Third Medical Centre, Chinese PLA (People's Liberation Army) General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0002-7316-1468
Xu ZhangDepartment of Urology, The Third Medical Centre, Chinese PLA (People's Liberation Army) General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0002-6908-6768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisorders of autophagic processes have been reported to affect the survival outcome of clear cell renal cell carcinoma (ccRCC) patients. The purpose of our study was to identify and validate the candidate prognostic long noncoding RNA signature of autophagy.

methodsTranscriptome profiles were obtained from The Cancer Genome Atlas. The autophagy gene list was obtained from the Human Autophagy Database. Based on coexpression analysis, we obtained a list of autophagy-related lncRNAs (ARlncRNAs). GO enrichment analysis and KEGG pathway analysis were conducted to explore the functional annotation of these ARlncRNAs. Univariate and multivariate Cox regression analyses were conducted to elucidate the correlation between overall survival and the expression level of each ARlncRNAs. We then established a prognostic signature that was a linear combination of the regression coefficients from the multivariate Cox regression model (

resultsSeven autophagy-related lncRNAs with prognostic value (SNHG3, SNHG17, MELTF-AS1, HOTAIRM1, EPB41L4A-DT, AP003352.1, and AC145423.2) were identified and integrated into a risk signature, dividing patients into low-risk and high-risk groups. The risk signature was independent of conventional clinical characteristics as a prognostic indicator of ccRCC (HR, 1.074, 95% confidence interval: 1.036-1.113,

conclusionOur risk signature has potential prognostic value in ccRCC, and these ARlncRNAs may play a significant role in ccRCC tumor biology.

Indexed as

AutophagyAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Renal CellFemaleHumansKidney NeoplasmsMaleMiddle AgedRNA, Long NoncodingTranscriptomeBiomarkers, TumorRNA, Long Noncoding

Identifiers

PMID34040677
PMCPMC8121606
OpenAlexW3157322511

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.