Evidence map›Paper›PMID 29435039›Full record

ArticleOncology letters2018

Characterization of mutations in BRCA1/2 and the relationship with clinic-pathological features of breast cancer in a hereditarily high-risk sample of chinese population.

Min Fang, Li Zhu, Hengyu Li, Xizhou Li, Yanmei Wu, Kainan Wu, Jian Lin, Yuan Sheng, Yue Yu

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Frontiers in oncology · 2026
    Article
  3. Article
  4. Identification of Eleven NovelFrontiers in oncology · 2021
    Article
  5. Comprehensive study for BRCA1 and BRCA2 entire coding regions in breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Article
  6. Article
  7. Article
  8. Review
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

9 authors at 3 institutions in 1 country.

Min FangDepartment of Breast and Thyroid Surgery, Changhai Hospital, The Second Military Medical University, Shanghai 200433, P.R. China.
Li ZhuDepartment of General Surgery, Chinese People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Hengyu LiDepartment of Breast and Thyroid Surgery, Changhai Hospital, The Second Military Medical University, Shanghai 200433, P.R. China.
Xizhou LiDepartment of Breast and Thyroid Surgery, Changhai Hospital, The Second Military Medical University, Shanghai 200433, P.R. China.
Yanmei WuDepartment of Breast and Thyroid Surgery, Changhai Hospital, The Second Military Medical University, Shanghai 200433, P.R. China.
Kainan WuDepartment of Breast and Thyroid Surgery, Changhai Hospital, The Second Military Medical University, Shanghai 200433, P.R. China.
Jian LinDepartment of Breast and Thyroid Surgery, Changhai Hospital, The Second Military Medical University, Shanghai 200433, P.R. China.
Yuan ShengDepartment of Breast and Thyroid Surgery, Changhai Hospital, The Second Military Medical University, Shanghai 200433, P.R. China.
Yue YuDepartment of Breast and Thyroid Surgery, Changhai Hospital, The Second Military Medical University, Shanghai 200433, P.R. China.
Changhai Hospital · CNSecond Military Medical University · CNPeople's Liberation Army No. 150 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The database of BRCA1/2 mutations in Chinese population remains incomplete at present. Therefore, the present study aimed to report specific harmful BRCA1/2 mutations in the Chinese population and discuss the clinicopathological features in mutation carriers. BRCA1/2 germline mutation tests for 71 patients with breast cancer from a hereditarily high-risk Chinese population were performed using next-generation sequencing for identification of deleterious mutations. Furthermore, the clinicopathological features between BRCA1/2 mutation carriers and non-carriers were compared. A total of 13/71 (18.3%) patients carried a BRCA1 or BRCA2 mutation (7 BRCA1 and 6 BRCA2). The incidence of BRCA1/2 mutation in patients with bilateral breast cancer and patients with family history were 25, and 32.2%, respectively. Eleven pathogenic or likely pathogenic mutations were identified in 13 patients, among the mutation sites 7 were never reported before in Asian populations. The age at diagnosis of BRCA1/2 mutation carriers was older compared with non-mutation carriers (44.73 vs. 35.39 years; P=0.001) in this cohort. BRCA1/2 deleterious mutation carriers had a significantly lower chance of human epidermal growth factor receptor-2 (Her-2) positive status (P=0.010), higher tumor grade at diagnosis (P=0.009), higher probability to have a family history (P=0.016) and older age at diagnosis. Estrogen receptor (ER) and progesterone receptor (PR) status were significantly different between BRCA1, and BRCA2 mutation carriers (P=0.007). The current interpretation of BRCA1/2 status can only explain a small part of hereditary high-risk breast cancer. However, BRCA1/2 gene testing should still be recommended for women with a family history of breast cancer, as well as patients with breast cancer with specific pathologic types, which may be useful to make appropriate clinical decisions for treatment and prevention.

Indexed as

BRCA1BRCA2breast neoplasmsChinese populationclinic-pathological

Identifiers

PMID29435039
PMCPMC5778890
OpenAlexW2776515275

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.