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Molecular features and clinical implications of the heterogeneity in Chinese patients with HER2-low breast cancer.

Lei-Jie DaiDing MaYu-Zheng XuMing LiYu-Wei LiYi XiaoXi JinSong-Yang WuYa-Xin ZhaoHan WangWen-Tao YangYi-Zhou JiangZhi-Ming Shao
Published in: Nature communications (2023)
The molecular heterogeneity and distinct features of HER2-low breast cancers, particularly in the Chinese population, are not well understood, limiting its precise management in the era of antibody‒drug conjugates. To address this issue, we established a cohort of 434 Chinese patients with HER2-low breast cancer (433 female and one male) and integrated genomic, transcriptomic, proteomic, and metabolomic profiling data. In this cohort, HER2-low tumors are more distinguished from HER2-0 tumors in the hormone receptor-negative subgroup. Within HER2-low tumors, significant interpatient heterogeneity also exists in the hormone receptor-negative subgroup: basal-like tumors resemble HER2-0 disease, and non-basal-like HER2-low tumors mimic HER2-positive disease. These non-basal-like HER2-low tumors are enriched in the HER2-enriched subtype and the luminal androgen receptor subtype and feature PIK3CA mutation, FGFR4/PTK6/ERBB4 overexpression and lipid metabolism activation. Among hormone receptor-positive tumors, HER2-low tumors show less loss/deletion in 17q peaks than HER2-0 tumors. In this work, we reveal the heterogeneity of HER2-low breast cancers and emphasize the need for more precise stratification regarding hormone receptor status and molecular subtype.
Keyphrases
  • single cell
  • clinical trial
  • dna methylation
  • deep learning
  • drug delivery
  • young adults
  • big data
  • study protocol
  • cancer therapy
  • protein kinase