Evidence map›Paper›PMID 31168460›Full record

ArticleAnnals of translational medicine2019

Characterization of frequently mutated cancer genes in Chinese breast tumors: a comparison of Chinese and TCGA cohorts.

Guochun Zhang, Yulei Wang, Bo Chen, Liping Guo, Li Cao, Chongyang Ren, Lingzhu Wen, Kai Li, Minghan Jia, Cheukfai Li and 13 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

51 citing papers in PubMed, 65 citations in OpenAlex.

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  12. Precision diagnosis and treatment of PI3K/AKT/PTEN signaling pathway in HR-positive advanced breast cancer: perspectives from Chinese experts.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025
    Review
  13. Review
  14. Public neoantigens in breast cancer immunotherapy (Review).International journal of molecular medicine · 2024
    Review
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  20. ConcomitantJournal of breast cancer · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 5 institutions in 2 countries.

Guochun ZhangDepartment of Breast Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Yulei WangDepartment of Breast Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Bo ChenDepartment of Breast Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Liping GuoDepartment of Breast Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Li CaoDepartment of Breast Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Chongyang RenDepartment of Breast Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Lingzhu WenDepartment of Breast Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Kai LiDepartment of Breast Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Minghan JiaDepartment of Breast Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Cheukfai LiDepartment of Breast Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Hsiaopei MokDepartment of Breast Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Xiaoqing ChenDepartment of Breast Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Guangnan WeiDepartment of Breast Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Jiali LinDepartment of Breast Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Zhou ZhangBurning Rock Biotech, Guangzhou 510000, China.
Ting HouBurning Rock Biotech, Guangzhou 510000, China.
Han Han-ZhangBurning Rock Biotech, Guangzhou 510000, China.
Chenglin LiuBurning Rock Biotech, Guangzhou 510000, China.
Hao LiuBurning Rock Biotech, Guangzhou 510000, China.
Jing LiuBurning Rock Biotech, Guangzhou 510000, China.
Charles M BalchDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Funda Meric-BernstamDepartments of Breast Surgical Oncology and Investigational Cancer Therapeutics, Institute of Personalized Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ning LiaoDepartment of Breast Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Guangdong Provincial People's Hospital · CNBurning Rock Biotech (China) · CNGuangdong Academy of Medical Sciences · CNThe University of Texas MD Anderson Cancer Center · USSouthern Medical University · CN

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundThe complexity of breast cancer at the clinical, morphological and genomic levels has been extensively studied in the western population. However, the mutational genomic profiles in Chinese breast cancer patients have not been explored in any detail.

methodsWe performed targeted sequencing using a panel consisting of 33 breast cancer-related genes to investigate the genomic landscape of 304 consecutive treatment-naïve Chinese breast cancer patients at Guangdong Provincial People's Hospital (GDPH), and further compared the results to those in 453 of Caucasian breast cancer patients from The Cancer Genome Atlas (TCGA).

resultsThe most frequently mutated gene was

conclusionsWe elucidated the mutational landscape of cancer genes in Chinese breast cancer and further identified significant genomic differences between Asian and Caucasian patients. These results should improve our understanding of pathogenesis and/or metastatic behavior of breast cancer across races/ethnicities, including a better selection of targeted therapies.

Indexed as

AKT1Chinese breast cancerGATA3Genomic mutationMAP3K1multi-genemutational landscapenext-generation sequencingPIK3CATP53

Identifiers

PMID31168460
PMCPMC6526269
OpenAlexW2939142565

What OpenQuestion holds

Textmetadata
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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.