Qualification of a multiplexed tissue imaging assay and detection of novel patterns of HER2 heterogeneity in breast cancer

Author:

Guerriero Jennifer L.ORCID,Lin Jia-Ren,Pastorello Ricardo G.,Du ZimingORCID,Chen Yu-An,Townsend Madeline G.,Shimada Kenichi,Hughes Melissa E.,Ren SiyangORCID,Tayob NabihahORCID,Zheng Kelly,Mei ShaolinORCID,Patterson Alyssa,Taneja Krishan L.,Metzger Otto,Tolaney Sara M.ORCID,Lin Nancy U.,Dillon Deborah A.,Schnitt Stuart J.ORCID,Sorger Peter K.,Mittendorf Elizabeth A.,Santagata SandroORCID

Abstract

AbstractEmerging data suggests that HER2 intratumoral heterogeneity (ITH) is associated with therapy resistance, highlighting the need for new strategies to assess HER2 ITH. A promising approach is leveraging multiplexed tissue analysis techniques such as cyclic immunofluorescence (CyCIF), which enable visualization and quantification of 10–60 antigens at single-cell resolution from individual tissue sections. In this study, we qualified a breast cancer-specific antibody panel, including HER2, ER, and PR, for multiplexed tissue imaging. We then compared the performance of these antibodies against established clinical standards using pixel-, cell- and tissue-level analyses, utilizing 866 tissue cores (representing 294 patients). To ensure reliability, the CyCIF antibodies were qualified against HER2 immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH) data from the same samples. Our findings demonstrate the successful qualification of a breast cancer antibody panel for CyCIF, showing high concordance with established clinical antibodies. Subsequently, we employed the qualified antibodies, along with antibodies for CD45, CD68, PD-L1, p53, Ki67, pRB, and AR, to characterize 567 HER2+ invasive breast cancer samples from 189 patients. Through single-cell analysis, we identified four distinct cell clusters within HER2+ breast cancer exhibiting heterogeneous HER2 expression. Furthermore, these clusters displayed variations in ER, PR, p53, AR, and PD-L1 expression. To quantify the extent of heterogeneity, we calculated heterogeneity scores based on the diversity among these clusters. Our analysis revealed expression patterns that are relevant to breast cancer biology, with correlations to HER2 ITH and potential relevance to clinical outcomes.

Funder

Susan G. Komen

Terri Brodeur Breast Cancer Foundation

U.S. Department of Health & Human Services | NIH | National Cancer Institute

The Ludwig Center at Harvard Saverin Breast Cancer Research Fund at Dana-Farber Cancer Institute Stanley Riemer Family Fund at Dana-Farber Cancer Institute

The Ludwig Center at Harvard E.A.M. acknowledges the Rob and Karen Hale Distinguished Chair in Surgical Oncology for support

Publisher

Springer Science and Business Media LLC

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