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Abstract
Emerging 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.
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1 Brigham and Women’s Hospital, Division of Breast Surgery, Department of Surgery, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294); Dana-Farber Cancer Institute, Breast Tumor Immunology Laboratory, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Harvard Medical School, Ludwig Center for Cancer Research at Harvard, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Harvard Medical School, Laboratory of Systems Pharmacology, Department of Systems Biology, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)
2 Harvard Medical School, Ludwig Center for Cancer Research at Harvard, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Harvard Medical School, Laboratory of Systems Pharmacology, Department of Systems Biology, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)
3 Dana-Farber Cancer Institute, Breast Tumor Immunology Laboratory, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Hospital Sírio Libanês, Department of Pathology, São Paulo, Brazil (GRID:grid.413471.4) (ISNI:0000 0000 9080 8521)
4 Harvard Medical School, Department of Pathology, Brigham and Women’s Hospital, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Sun Yat-sen University Cancer Center, Department of Molecular Diagnostics, Guangzhou, China (GRID:grid.488530.2) (ISNI:0000 0004 1803 6191)
5 Harvard Medical School, Laboratory of Systems Pharmacology, Department of Systems Biology, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)
6 Brigham and Women’s Hospital, Division of Breast Surgery, Department of Surgery, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294); Dana-Farber Cancer Institute, Breast Tumor Immunology Laboratory, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910)
7 Dana-Farber/Brigham and Women’s Cancer Center, Breast Oncology Program, Boston, USA (GRID:grid.417747.6) (ISNI:0000 0004 0460 3896)
8 Dana-Farber Cancer Institute, Department of Data Science, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910)
9 Brigham and Women’s Hospital, Division of Breast Surgery, Department of Surgery, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294)
10 Harvard Medical School, Department of Pathology, Brigham and Women’s Hospital, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)
11 Brigham and Women’s Hospital, Division of Breast Surgery, Department of Surgery, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294); Dana-Farber Cancer Institute, Breast Tumor Immunology Laboratory, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Harvard Medical School, Ludwig Center for Cancer Research at Harvard, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Dana-Farber/Brigham and Women’s Cancer Center, Breast Oncology Program, Boston, USA (GRID:grid.417747.6) (ISNI:0000 0004 0460 3896)
12 Harvard Medical School, Ludwig Center for Cancer Research at Harvard, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Harvard Medical School, Laboratory of Systems Pharmacology, Department of Systems Biology, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Harvard Medical School, Department of Pathology, Brigham and Women’s Hospital, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)