Clinical characteristics and predictive models of HER2-low breast cancer patients who only received adjuvant chemotherapy: a real-world retrospective multicenter study

医学 乳腺癌 肿瘤科 辅助化疗 内科学 化疗 回顾性队列研究 佐剂 癌症
作者
Qinchuan Wang,Yuying Wang,Zikang Chen,Yuqing Chao,Lin Chen,Wenjing Li,Yang Xia,Zhinong Jiang,Xiaoyan Li,Bo Gao,Wenxian Hu,Jichun Zhou,Linbo Wang,Haitao Li,Jun Zhang,Qiong Ding,Xuebin Lv,Hao Zhang,Heming Zheng
出处
期刊:npj precision oncology [Nature Portfolio]
卷期号:9 (1)
标识
DOI:10.1038/s41698-025-00998-3
摘要

HER2-low positivity is reported to play substantial role in neoadjuvant chemotherapy for breast cancer, but its role in adjuvant chemotherapy remains unclear. We aim to explore the role of HER2-low positivity in the breast cancer patients who only received adjuvant chemotherapy. We evaluated 3214 patients from SRRSH Hospital and 16,273 patients from CHLP Hospital. All the patients were diagnosed as primary breast cancer who only received adjuvant chemotherapy. HER2-status was defined according to ASCO/CAP guidelines. Multivariable Cox models and machine learning models were applied in the analysis of overall survival. A total of 1009 HER2-zero, 1399 HER2-low and 806 HER2-positive patients were included in SRRSH cohort, while there were 5662 HER2-zero, 6471 HER2-low and 4140 HER2-positive patients in CHLP cohort. HER2-low patients showed significant better OS and reduced death risk compare to HER2-zero patients in both SRRSH (log-rank p = 0.033, HR = 0.62, 95% CI 0.39-0.97, p = 0.037) and CHLP cohort (log-rank p < 0.001, HR = 0.63, 95% CI 0.55-0.73, p < 0.001). In subgroup analysis, HER2-low patients had significantly reduced risk of death compare to HER2-zero patients in hormonal receptor-positive subset in both cohorts, but not in hormonal receptor-negative subset. MLP model demonstrated the best performance among all the predictive models in both cohorts. Our study indicated that HER2-low patients had better survival compare to HER2-zero patients in adjuvant chemotherapy only setting. We emphasized the significance of HER2 status in adjuvant setting in BC, implying more precise diagnostic and therapeutic strategies in future.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
fukesi完成签到,获得积分10
1秒前
1秒前
汪柴完成签到,获得积分10
1秒前
。。。完成签到,获得积分10
1秒前
1秒前
2秒前
华仔应助水知道采纳,获得10
3秒前
3秒前
笨笨百招完成签到,获得积分10
3秒前
孤蚀月完成签到,获得积分10
3秒前
Aokcers发布了新的文献求助10
4秒前
小二郎应助zz采纳,获得10
4秒前
4秒前
一棵草完成签到,获得积分10
4秒前
万能图书馆应助等风的人采纳,获得10
4秒前
小文完成签到 ,获得积分10
5秒前
5秒前
Zzz关注了科研通微信公众号
5秒前
科研通AI6.4应助zlx采纳,获得10
6秒前
TQY完成签到,获得积分10
6秒前
6秒前
Rookie发布了新的文献求助10
6秒前
幸福C应助ETA采纳,获得10
6秒前
7秒前
科研通AI6.3应助hachiikawa采纳,获得30
7秒前
老六完成签到,获得积分10
7秒前
7秒前
9秒前
00完成签到,获得积分10
9秒前
9秒前
try2083应助Peterzf采纳,获得10
9秒前
Xide完成签到,获得积分10
9秒前
小徐完成签到,获得积分10
10秒前
250发布了新的文献求助10
11秒前
MQueen完成签到,获得积分10
11秒前
brown完成签到,获得积分10
11秒前
华仔应助姝瑶超温柔采纳,获得10
13秒前
13秒前
酷炫的沛岚完成签到,获得积分20
13秒前
Ludi完成签到,获得积分10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
模型平均及其应用 900
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
The Cambridge History of China 英文版16册 600
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7332791
求助须知:如何正确求助?哪些是违规求助? 8947348
关于积分的说明 18981581
捐赠科研通 6986977
什么是DOI,文献DOI怎么找? 3217104
关于科研通互助平台的介绍 2383554
邀请新用户注册赠送积分活动 2196915