bioRxivCancer BiologyPreprint
Spatial/molecular heterogeneity and treatment response in HER2+ early breast cancer: Translational analyses from the DAPHNe trial
Emily CheniD, Ilana Miriam SchlamiD, Kaoru ShimadaiD, Tianyu LiiD, Esther Ritah OgayoiD, Ashka Patel, Janae Davis, Jia‐Ren LiniD, Austin Schultz, Madeline G Townsend, Kelly F Zheng, Carlos Wagner S WanderleyiD, Ricardo PastorelloiD, Felicia NewiD, Evelyn Metzger, Natalie Faye Sinclair, Laura M. Spring, Meredith Gail Faggen, Michael Constantine, Neelam Vijay DesaiiD, Nadine TungiD, Nabihah TayobiD, Ian E. KropiD, Sara M. TolaneyiD, Eric P. WineriD, , Adrienne Gropper WaksiD
Abstract
Given the heterogeneity of HER2-positive breast cancer, reliable biomarkers to guide treatment are needed. We conducted multi-platform biomarker analyses of baseline tumor tissue from the DAPHNe trial of neoadjuvant paclitaxel/trastuzumab/pertuzumab (THP) for HER2-positive early breast cancer to characterize inter- and intra-tumor heterogeneity and to identify molecular predictors of response. A total of 98 patients with stage II-III HER2-positive breast cancer received neoadjuvant THP followed by surgery. Gene expression profiling, spatial protein profiling, and single-cell imaging (cyclic immunofluorescence) were performed on pre-treatment biopsies and a subset of residual disease specimens. Pathologic response was assessed using the residual cancer burden (RCB) score. Among HER2-positive patients included in the biomarker analysis, 34% of patients had node-positive breast cancer, and 66% had hormone receptor (HR)-positive tumors. HR-positive and HR-negative tumors differed significantly across gene expression, protein expression, and single-cell profiling. High ERBB2 gene signature, p53 gene signature, and HER2 protein expression predicted favorable response (RCB 0/1), while ESR1/PGR gene, estrogen receptor (ER) signaling gene signature, and ER alpha protein expression were associated with unfavorable response (RCB 2/3). Single-cell spatial analysis revealed that cancer cells clustered by shared HER2, ER, and PR expression, suggesting local expansion of phenotypically distinct subpopulations. ER-positive cancer cells were associated with lower HLA-A and PD-L1 expression, suggesting a less immunologically active tumor cell state. Baseline HER2 and ER expression are key predictors of response to neoadjuvant HER2-targeted therapy. Single-cell spatial profiling highlights intra-tumoral heterogeneity and suggests ER-driven immune exclusion as a potential mechanism of resistance.
- organism: human
- assay: bulk RNA-seq
- assay: spatial transcriptomics
- assay: proteomics
- research focus: differential expression
- research focus: cell type annotation
- research focus: spatial domain detection
- approach: statistical model
- Citations
- 0
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