Evidence map›Paper›PMID 37000356›Full record

ArticleAnnals of surgical oncology2023

Clinical Genetic Features and Neoadjuvant Chemotherapy Response in HER2-Low Breast Cancers: A Retrospective, Multicenter Cohort Study.

Libo Yang, Yuqiong Liu, DanDan Han, Sha Fu, Shuangping Guo, Longlong Bao, Yi Shi, Rongfang Huang, Huan Wan, Wencai Li and 5 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Annals of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Libo Yang *Department of Pathology, Institute of Clinical Pathology, West China Hospital, Sichuan University, Chengdu, 610000, Sichuan Province, People's Republic of China.
Yuqiong Liu *Department of Pathology, School of Basic Medicine, Zhengzhou University, Zhengzhou, 450002, Henan Province, People's Republic of China.
DanDan HanDepartment of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei Province, People's Republic of China.
Sha FuGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Cellular & Molecular Diagnostic Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510000, Guangdong Province, People's Republic of China.
Shuangping GuoDepartment of Pathology, Xijing Hospital and School of Basic Medicine, Air Force Medical University, Xi'an, 710032, Shanxi Province, People's Republic of China.
Longlong BaoDepartment of Pathology, Department of Oncology/Institute of Pathology, Shanghai Cancer Center, Fudan University, Shanghai, 200032, People's Republic of China.
Yi ShiDepartment of Molecular Pathology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, 350014, Fujian Province, People's Republic of China.
Rongfang HuangDepartment of Molecular Pathology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, 350014, Fujian Province, People's Republic of China.
Huan WanGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Cellular & Molecular Diagnostic Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510000, Guangdong Province, People's Republic of China.
Wencai LiDepartment of Pathology, School of Basic Medicine, Zhengzhou University, Zhengzhou, 450002, Henan Province, People's Republic of China.
Zhe WangDepartment of Pathology, Xijing Hospital and School of Basic Medicine, Air Force Medical University, Xi'an, 710032, Shanxi Province, People's Republic of China.
Xiaoyan ZhouDepartment of Pathology, Department of Oncology/Institute of Pathology, Shanghai Cancer Center, Fudan University, Shanghai, 200032, People's Republic of China.
Gang ChenDepartment of Molecular Pathology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, 350014, Fujian Province, People's Republic of China.
Yueping LiuDepartment of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei Province, People's Republic of China. annama@163.com.
Feng YeDepartment of Pathology, Institute of Clinical Pathology, West China Hospital, Sichuan University, Chengdu, 610000, Sichuan Province, People's Republic of China. fengye@scu.edu.cn.ORCID http://orcid.org/0000-0003-4303-406X

Funding

1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University ZYGD18012/ZYJC1035Interdisciplinary Crossing and Integration of Medicine and Engineering for Talent Training Fund, West China Hospital, Sichuan University ZYGX2022YGRH015Sichuan Provincial Natural Science Foundation Project 2022NSFSC1484
6 · The paper itself

Abstract

backgroundThe objective of this work is to reveal differences in clinical and genetic features, as well as neoadjuvant chemotherapy (NAC) response, between HER2-low and HER2-zero or HER2-positive breast cancers. PATIENTS AND

methodsA total of 245 female patients with breast cancer were retrospectively enrolled from seven hospitals. Core needle biopsy (CNB) samples were collected before NAC and used for next-generation sequencing by a commercial gene panel. Clinical and genetic features, as well as NAC response, were compared between HER2-low and HER2-zero or HER2-positive breast cancers. The nonnegative matrix factorization (NMF) method was applied to cluster the C-Score of enrolled cases to reveal the intrinsic features of each HER2 subgroup.

resultsA total of 68 (27.8%) cases are HER2-positive, 117 (47.8%) cases are HER2-low, and 60 (24.5%) cases are HER2-zero. HER2-low breast cancers have a significantly lower pathologic complete response (pCR) rate than HER2-positive and HER2-zero breast cancers (p < 0.050 for all comparisons). Compared with HER2-low breast cancers, HER2-positive cases have higher rates of TP53 mutation, TOP2A amplification, and ERBB2 amplification, as well as lower rates of MAP2K4 mutation, ESR1 amplification, FGFR1 amplification, and MAPK pathway alteration (p < 0.050 for all comparisons). After clustering HER2-low cases by the NMF method, 56/117 (47.9%) are in cluster 1, 51/117 (43.6%) are in cluster 2, and 10/117 (8.5%) are in cluster 3. HER2-low cases in cluster 2 have the lowest pCR rate among the three clusters (p < 0.050).

conclusionsHER2-low breast cancers have significant genetic differences from HER2-positive cases. Genetic heterogeneity exists in HER2-low breast cancers and impacts on NAC response in this subgroup.

Indexed as

Breast NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsErb-b2 Receptor Tyrosine KinasesFemaleHumansMutationNeoadjuvant TherapyRetrospective StudiesErb-b2 Receptor Tyrosine Kinases

Identifiers

What OpenQuestion holds

Textmetadata
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.