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Multiomics of HER2-low triple-negative breast cancer identifies a receptor tyrosine kinase–relevant subgroup with therapeutic prospects
Lie Chen, … , Zhi-Ming Shao, Ke-Da Yu
Lie Chen, … , Zhi-Ming Shao, Ke-Da Yu
Published November 22, 2023
Citation Information: JCI Insight. 2023;8(22):e172366. https://doi.org/10.1172/jci.insight.172366.
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Research Article Oncology

Multiomics of HER2-low triple-negative breast cancer identifies a receptor tyrosine kinase–relevant subgroup with therapeutic prospects

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Abstract

To provide complementary information and reveal the molecular characteristics and therapeutic insights of HER2-low breast cancer, we performed this multiomics study of hormone receptor–negative (HR–) and HER2-low breast cancer, also known as HER2-low triple-negative breast cancer (TNBC), and identified 3 subgroups: basal-like, receptor tyrosine kinase–relevant (TKR), and mesenchymal stem–like. These 3 subgroups had distinct features and potential therapeutic targets and were validated in external data sets. Interestingly, the TKR subgroup (which exists in both HR+ and HR– breast cancer) had activated HER2 and downstream MAPK signaling. In vitro and in vivo patient-derived xenograft experiments revealed that pretreatment of the TKR subgroup with a tyrosine kinase inhibitor (lapatinib or tucatinib) could inhibit HER2 signaling and induce accumulated expression of nonfunctional HER2, resulting in increased sensitivity to the sequential HER2-targeting, Ab–drug conjugate DS-8201. Our findings identify clinically relevant subgroups and provide potential therapeutic strategies for HER2-low TNBC subtypes.

Authors

Lie Chen, Cui-Cui Liu, Si-Yuan Zhu, Jing-Yu Ge, Yu-Fei Chen, Ding Ma, Zhi-Ming Shao, Ke-Da Yu

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Figure 1

Transcriptomic profiling reveals HER2-low TNBC subgroups.

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Transcriptomic profiling reveals HER2-low TNBC subgroups.
(A) Consensus ...
(A) Consensus empirical cumulative distribution function (CDF) curves of K = 2–10. (B) Delta area changes with K = 2–10. (C) Consensus values of different K values. (D) Consensus clustering matrices of the 207 HER2-low TNBC samples with mRNA expression at K = 4. (E) Gene set enrichment analysis (GSEA) of primary immunodeficiency, T cell receptor signaling pathway, cytokine/cytokine receptor interaction, and NK cell–mediated cytotoxicity between C4 and other clusters based on the KEGG data set (permutation test). (F) Average stromal and intratumoral TIL scores in the 4 subgroups (Kruskal-Wallis test followed by Dunn’s multiple comparisons test). (G) Relative abundance of 2 immune-activated cells in 4 subgroups based on CIBERSORT (1-way ANOVA followed by Dunnett’s t test). (H) Heatmap showing the top 2,000 variable mRNAs of 207 HER2-low TNBC samples; clinical and molecular features are annotated. (I) ssGSEA of 207 HER2-low TNBC samples based on KEGG and GO data sets are shown in the heatmap, and the FDRs are shown in the bubble plot. (J) Distribution of HER2-low TNBC mRNA subgroups in the FUSCC (top) and TCGA (bottom) data sets (χ2 test). The samples of A–I were from HER2-low TNBC based on the FUSCC data set. Statistical significance was set at P < 0.05.

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