Evidence map›Paper›PMID 33842585›Full record

ArticleAnnals of translational medicine2021

Homologous recombination repair gene mutations show no survival benefits in Chinese high-grade serous ovarian cancer patients.

Zheng Feng, Hao Wen, Xingzhu Ju, Rui Bi, Xiaojun Chen, Wentao Yang, Xiaohua Wu

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. 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
0.9field-weighted citation impact, top 23% 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, 11 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Zheng FengDepartment of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Hao WenDepartment of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Xingzhu JuDepartment of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Rui BiDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Xiaojun ChenDepartment of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Wentao YangDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Xiaohua WuDepartment of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Fudan University Shanghai Cancer Center · CNShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of our study was to identify germline and somatic homologous recombination repair (HRR) pathway gene mutations and their clinical-prognostic impact in Chinese high-grade serous ovarian cancer (HGSC) patients.

methodsWe applied next-generation sequencing (NGS) in consecutive patients who underwent primary surgery for HGSC in November and December 2015 at our institution. Paired peripheral blood (or para-carcinoma tissue) samples and tumor samples from 42 Chinese women were tested to identify both germline and somatic deleterious mutations through all exons in

resultsDeleterious germline HRR mutations were identified in 16.7% (7/42) of the HGSC patients. One patient had both germline

conclusionsOur results suggest that the HRR gene defect was not associated with improved survival in our Chinese HGSC patient cohort.

Indexed as

germline mutationHigh-grade serous ovarian cancer (HGSC)homologous recombination repair gene (HRR gene)somatic mutation

Identifiers

PMID33842585
PMCPMC8033363
OpenAlexW3135633029

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.