Enhancing HER2-low breast cancer detection with quantitative transcriptomics.

IF 7.6 2区 医学 Q1 ONCOLOGY
Maria-Anna Misiakou, Maj-Britt Jensen, Maj-Lis Talman, Bent Ejlertsen, Maria Rossing
{"title":"Enhancing HER2-low breast cancer detection with quantitative transcriptomics.","authors":"Maria-Anna Misiakou, Maj-Britt Jensen, Maj-Lis Talman, Bent Ejlertsen, Maria Rossing","doi":"10.1038/s41523-025-00817-9","DOIUrl":null,"url":null,"abstract":"<p><p>Accurate identification of HER2-low breast cancers remains challenging using standard IHC. We analyzed 3182 breast tumors using transcriptomics, revealing detectable ERBB2 mRNA in 86% of IHC 0 cases. Pathological complete response was most prevalent in anti-HER2-treated patients with highest ERBB2 expression. Our results demonstrate that transcriptomics can sensitively detect HER2 expression and stratify patients beyond IHC classification, supporting its use as a complementary biomarker for guiding anti-HER2 therapy decisions.</p>","PeriodicalId":19247,"journal":{"name":"NPJ Breast Cancer","volume":"11 1","pages":"98"},"PeriodicalIF":7.6000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12402487/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"NPJ Breast Cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41523-025-00817-9","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Accurate identification of HER2-low breast cancers remains challenging using standard IHC. We analyzed 3182 breast tumors using transcriptomics, revealing detectable ERBB2 mRNA in 86% of IHC 0 cases. Pathological complete response was most prevalent in anti-HER2-treated patients with highest ERBB2 expression. Our results demonstrate that transcriptomics can sensitively detect HER2 expression and stratify patients beyond IHC classification, supporting its use as a complementary biomarker for guiding anti-HER2 therapy decisions.

Abstract Image

Abstract Image

定量转录组学增强低her2乳腺癌检测。
使用标准免疫组化技术准确识别her2低水平乳腺癌仍然具有挑战性。我们使用转录组学分析了3182例乳腺肿瘤,在86%的IHC 0病例中发现了可检测到的ERBB2 mRNA。病理完全缓解在ERBB2表达最高的抗her2治疗患者中最为普遍。我们的研究结果表明,转录组学可以灵敏地检测HER2表达,并在IHC分类之外对患者进行分层,支持其作为指导抗HER2治疗决策的补充生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
NPJ Breast Cancer
NPJ Breast Cancer Medicine-Pharmacology (medical)
CiteScore
10.10
自引率
1.70%
发文量
122
审稿时长
9 weeks
期刊介绍: npj Breast Cancer publishes original research articles, reviews, brief correspondence, meeting reports, editorial summaries and hypothesis generating observations which could be unexplained or preliminary findings from experiments, novel ideas, or the framing of new questions that need to be solved. Featured topics of the journal include imaging, immunotherapy, molecular classification of disease, mechanism-based therapies largely targeting signal transduction pathways, carcinogenesis including hereditary susceptibility and molecular epidemiology, survivorship issues including long-term toxicities of treatment and secondary neoplasm occurrence, the biophysics of cancer, mechanisms of metastasis and their perturbation, and studies of the tumor microenvironment.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信