Evidence map›Paper›PMID 37566130›Full record

ArticleJournal of cancer research and clinical oncology2023

A comprehensive analysis of Fanconi anemia genes in Chinese patients with high-risk hereditary breast cancer.

Qiao-Yan Zhu, Pu-Chun Li, Yi-Fan Zhu, Jia-Ni Pan, Rong Wang, Xiao-Lin Li, Wei-Wu Ye, Xiao-Wen Ding, Xiao-Jia Wang, Wen-Ming Cao

Open access · hybridAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

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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

4 citing papers in PubMed, 6 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

10 authors at 3 institutions in 1 country.

Qiao-Yan Zhu *Department of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China.
Pu-Chun Li *Department of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China.
Yi-Fan Zhu *Department of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China.
Jia-Ni PanDepartment of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China.
Rong WangDepartment of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China.
Xiao-Lin LiDepartment of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China.
Wei-Wu YeDepartment of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China.
Xiao-Wen DingDepartment of Tumor Surgery, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China.
Xiao-Jia WangDepartment of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China.
Wen-Ming CaoDepartment of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China. caowm@zjcc.org.cn.
Zhejiang Cancer Hospital · CNWenzhou Medical University · CNZhejiang Chinese Medical University · CN

Funding

Basic Public Welfare Research Plan of Zhejiang Province LTGY23H160012Medical and Health Science and Technology Plan Project of Zhejiang Province 2021KY566Natural Science Foundation of Zhejiang Province LY21H160005
6 · The paper itself

Abstract

backgroundFour Fanconi anemia (FA) genes (BRCA1, BRCA2, PALB2 and RAD51C) are defined as breast cancer (BC) susceptibility genes. Other FA genes have been inconsistently associated with BC. Thus, the role of other FA genes in BC should be explored in specific populations.

methodsMutations in 16 FA genes were screened with a 98-gene panel sequencing assay in a cohort of 1481 Chinese patients with high-risk hereditary BC. The association between mutations and clinicopathological characteristics as well as prognosis was analyzed. The risk of BC in carriers of FA gene mutations was assessed in the Genome Aggregation Database and the Westlake Biobank for Chinese cohort.

resultsA total of 2.57% (38/1481) BC patients were identified who had 12 other FA gene germline mutations. Among them, the most frequently mutated gene was FANCA (8/1481, 0.54%). These 38 patients carried 35 distinct pathogenic/likely pathogenic variants, of which 21 were novel. We found one rare FANCB deleterious variant (c.1327-3dupT) in our cohort. There was a statistically significant difference in lymph node status between FA gene mutation carriers and non-carriers (p = 0.041). We observed a trend that mutation carriers had larger tumor sizes, lower estrogen receptor (ER) and progesterone receptor (PR) positivity rates, and lower 3.5-year invasive disease-free survival (iDFS) and distant recurrence-free survival (DRFS) rates than non-carriers (tumor size > 2 cm: 51.43% vs. 45.63%; ER positivity rates: 51.43% vs. 60.81%; PR positivity rates: 48.57% vs. 55.16%; 3.5-year iDFS rates: 58.8% vs. 66.7%; 3.5-year DRFS rates: 58.8% vs. 68.8%). The frequency of the mutations in FANCD2, FANCM and BRIP1 trended to be higher among BC cases than that in controls (p = 0.055, 0.08 and 0.08, respectively).

conclusionThis study comprehensively estimated the prevalence, clinicopathological characteristics, prognosis and risk of BC associated with deleterious variants in FA genes in Chinese high-risk hereditary BC patients. It enriches our understanding of the role of FA genes with BC.

Indexed as

Breast NeoplasmsFanconi AnemiaFanconi Anemia Complementation Group ProteinsAdultChinaEast Asian PeopleFanconi Anemia Complementation Group N ProteinFemaleGenetic Predisposition to DiseaseGerm-Line MutationHumansMiddle AgedPrognosisFanconi Anemia Complementation Group N ProteinFanconi Anemia Complementation Group ProteinsPALB2 protein, humanBreast cancerFanconi anemia genesMutationPrognosisSusceptibility

Identifiers

PMID37566130
PMCPMC10590287
OpenAlexW4385752117

What OpenQuestion holds

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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.