Evidence map›Paper›PMID 36915884›Full record

ArticleTranslational andrology and urology2023

Prevalence of germline mutations in cancer susceptibility genes in Chinese patients with renal cell carcinoma.

Huayi Feng, Shouqing Cao, Qing Ouyang, Huaikang Li, Xiubin Li, Ke Chen, Xiangyi Zhang, Yan Huang, Xu Zhang, Xin Ma

Open access · diamondAbstract read
In one paragraph

Article in Translational andrology and urology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Hereditary Renal Cancer Syndromes.Medical sciences (Basel, Switzerland) · 2024
    Review
  3. Article
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 3 institutions in 1 country.

Huayi Feng *Medical School of Chinese PLA, Beijing, China.
Shouqing Cao *Department of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China.
Qing Ouyang *Medical School of Chinese PLA, Beijing, China.
Huaikang LiMedical School of Chinese PLA, Beijing, China.
Xiubin LiDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China.
Ke ChenMedical School of Chinese PLA, Beijing, China.
Xiangyi ZhangDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China.
Yan HuangDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China.
Xu ZhangMedical School of Chinese PLA, Beijing, China.
Xin MaMedical School of Chinese PLA, Beijing, China.
PLA Academy of Military Science · CNChinese PLA General Hospital · CNHebei North University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Germline pathogenic variants are estimated to affect 3-5% of patients with renal cell carcinoma (RCC). The identification of patients with hereditary RCC is important for cancer screening and treatment guidance. Methods: Whole-exome sequencing (WES) (n=69) or gene panel sequencing containing 139 genes (n=54) related to germline cancer predisposition was used to analyze germline mutations in 123 patients with RCC admitted to Department of Urology, The Third Medical Center of Chinese PLA General Hospital. Chi-square test (χ Results: A total of 13 (10.57%) patients carried pathogenic or likely pathogenic germline mutations in 10 cancer predisposition genes, including Conclusions: To our knowledge, this is the first report of pathogenic germline mutations in the

Indexed as

FANCIFANCMpathogenic germline mutationRenal cell carcinoma (RCC)

Identifiers

PMID36915884
PMCPMC10006011
OpenAlexW4321458478

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.