Evidence map›Paper›PMID 32983230›Full record

ArticleFrontiers in genetics2020

Identification of the Six-RNA-Binding Protein Signature for Prognosis Prediction in Bladder Cancer.

Yucai Wu, Yi Liu, Anbang He, Bao Guan, Shiming He, Cuijian Zhang, Zhengjun Kang, Yanqing Gong, Xuesong Li, Liqun Zhou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

18 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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  7. The evolving landscape of PCSK9 inhibition in cancer.European journal of pharmacology · 2023
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  15. Systematic Analysis of FASTK Gene Family Alterations in Cancer.International journal of molecular sciences · 2021
    Article
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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

10 authors at 4 institutions in 1 country.

Yucai WuDepartment of Urology, Peking University First Hospital, Beijing, China.
Yi LiuDepartment of Urology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Anbang HeDepartment of Urology, Peking University First Hospital, Beijing, China.
Bao GuanDepartment of Urology, Peking University First Hospital, Beijing, China.
Shiming HeDepartment of Urology, Peking University First Hospital, Beijing, China.
Cuijian ZhangDepartment of Urology, Peking University First Hospital, Beijing, China.
Zhengjun KangDepartment of Urology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yanqing GongDepartment of Urology, Peking University First Hospital, Beijing, China.
Xuesong LiDepartment of Urology, Peking University First Hospital, Beijing, China.
Liqun ZhouDepartment of Urology, Peking University First Hospital, Beijing, China.
Beijing Chest Hospital · CNFifth Affiliated Hospital of Zhengzhou University · CNPeking University · CNPeking University First Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-binding proteins (RBPs) are a kind of gene regulatory factor that presents a significant biological effect in the initiation and development of various tumors, including bladder cancer (BLCA). However, the RBP-based prognosis signature for BLCA has not been investigated. In this study, we attempted to develop an RBP-based classifier to predict overall survival (OS) for BLCA based on transcriptome analysis. We extracted data of BLCA patients from The Cancer Genome Atlas database (TCGA) and UCSC Xena. Finally, a total of 398 cases without missing clinical data were enrolled and six RBPs (

Indexed as

bladder canceroverall survivalprognosisrecurrence-free survivalRNA-binding proteins

Identifiers

PMID32983230
PMCPMC7493641
OpenAlexW3082689937

What OpenQuestion holds

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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.