Evidence map›Paper›PMID 34295828›Full record

ArticleFrontiers in oncology2021

m

Wenhao Xu, Xi Tian, Wangrui Liu, Aihetaimujiang Anwaier, Jiaqi Su, Wenkai Zhu, Fangning Wan, Guohai Shi, Gaomeng Wei, Yuanyuan Qu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. RNA NNature reviews. Urology · 2024
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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

12 authors at 3 institutions in 1 country.

Wenhao XuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Xi TianDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Wangrui LiuDepartment of Urology, Affiliated Hospital of Youjiang Medical College for Nationalities, Baise, China.
Aihetaimujiang AnwaierDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Jiaqi SuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Wenkai ZhuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Fangning WanDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Guohai ShiDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Gaomeng WeiDepartment of Urology, Affiliated Hospital of Youjiang Medical College for Nationalities, Baise, China.
Yuanyuan QuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Hailiang ZhangDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Dingwei YeDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Shanghai Medical College of Fudan University · CNFudan University Shanghai Cancer Center · CNYoujiang Medical College for Nationalities · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to establish an N6-methyladenosine (m

methodsThe m

resultsPrognostic implications landscape of m

conclusionOur discovery highlights the relationship between tumor epigenetic heterogeneity and immune contexture. Immune-rejection cluster 3 has pro-tumorigenic immune infiltration, and shows significant clinical benefits for ccRCC patients receiving ICTs, enabling patient selection for future clinical treatment.

Indexed as

clear cell renal cell carcinomaimmunotherapiesm6A modification subclassesN6-methyladenosinetumor microenvironment

Identifiers

PMID34295828
PMCPMC8290143
OpenAlexW3177829252

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.