Evidence map›Paper›PMID 32638235›Full record

ArticleBreast cancer research and treatment2020

Genetic mutation profile of Chinese HER2-positive breast cancers and genetic predictors of responses to Neoadjuvant anti-HER2 therapy.

Kai Li, Ning Liao, Bo Chen, Guochun Zhang, Yulei Wang, Liping Guo, Guangnan Wei, Minghan Jia, Lingzhu Wen, Chongyang Ren and 11 more

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. Review
  6. 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

21 authors at 3 institutions in 2 countries.

Kai LiDepartment of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
Ning LiaoDepartment of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
Bo ChenDepartment of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
Guochun ZhangDepartment of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
Yulei WangDepartment of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
Liping GuoDepartment of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
Guangnan WeiDepartment of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
Minghan JiaDepartment of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
Lingzhu WenDepartment of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
Chongyang RenDepartment of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
Li CaoDepartment of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
Hsiaopei MokDepartment of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
Cheukfai LiDepartment of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
Jiali LinDepartment of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
Xiaoqing ChenDepartment of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
Zhou ZhangBurning Rock Biotech, Guangzhou, China.
Ting HouBurning Rock Biotech, Guangzhou, China.
Min LiBurning Rock Biotech, Guangzhou, China.
Jing LiuBurning Rock Biotech, Guangzhou, China.
Charles M BalchUniversity of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ning LiaoDepartment of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China. syliaoning@scut.edu.cn.ORCID http://orcid.org/0000-0003-0995-9886
Guangdong Academy of Medical Sciences · CNBurning Rock Biotech (China) · CNThe University of Texas MD Anderson Cancer Center · US

Funding

Guangzhou Municipal Science and Technology Project 201705-202004Guangzhou Municipal Science and Technology Project 201707010418
6 · The paper itself

Abstract

purposeDespite the therapeutic success of existing HER2-targeted therapies, tumors respond quite differently to them. This study aimed at figuring out genetic mutation profile of Chinese HER2-positive patients and investigating predictive factors of neoadjuvant anti-HER2 responses.

methodsWe employed two cohorts. The first cohort was comprised of 181 HER2-positive patients treated at Guangdong Provincial People's Hospital from 2012 to 2018. The second cohort included 40 patients from the first cohort who underwent HER2-targeted neoadjuvant chemotherapy. Genetic mutations were characterized using next-generation sequencing. We employed the most commonly used definition of pathological complete response (pCR)-eradication of tumor from both breast and lymph nodes (ypT0/is ypN0).

resultsIn Chinese HER2-positive breast cancer patients, TP53 (74.6%), CDK12 (64.6%) and PIK3CA (46.4%) have the highest mutation frequencies. In cohort 2, significant differences were found between pCR and non-pCR groups in terms of the initial Ki67 status, TP53 missense mutations, TP53 LOF mutations, PIK3CA mutations and ROS1 mutations (p = 0.028, 0.019, 0.005, 0.013, 0.049, respectively). Furthermore, TP53 LOF mutations and initial Ki67 status (OR 7.086, 95% CI 1.366-36.749, p = 0.020 and OR 6.007, 95% CI 1.120-32.210, p = 0.036, respectively) were found to be predictive of pCR status.

conclusionTP53 LOF mutations and initial Ki67 status in HER2-positive breast cancer are predictive of pCR status after HER2-targeted NACT.

Indexed as

MutationAdultAgedAntineoplastic Combined Chemotherapy ProtocolsAsian PeopleBiomarkers, TumorBreast NeoplasmsCohort StudiesErb-b2 Receptor Tyrosine KinasesFemaleHigh-Throughput Nucleotide SequencingHumansKi-67 AntigenMiddle AgedNeoadjuvant TherapyTreatment OutcomeBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesKi-67 AntigenMKI67 protein, humanTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID32638235
PMCPMC7383038
OpenAlexW3040971729

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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.