التفاصيل البيبلوغرافية
| العنوان: |
Qualification of a multiplexed tissue imaging assay and detection of novel patterns of HER2 heterogeneity in breast cancer |
| المؤلفون: |
Jennifer L. Guerriero, Jia-Ren Lin, Ricardo G. Pastorello, Ziming Du, Yu-An Chen, Madeline G. Townsend, Kenichi Shimada, Melissa E. Hughes, Siyang Ren, Nabihah Tayob, Kelly Zheng, Shaolin Mei, Alyssa Patterson, Krishan L. Taneja, Otto Metzger, Sara M. Tolaney, Nancy U. Lin, Deborah A. Dillon, Stuart J. Schnitt, Peter K. Sorger, Elizabeth A. Mittendorf, Sandro Santagata |
| المصدر: |
npj Breast Cancer, Vol 10, Iss 1, Pp 1-22 (2024) |
| بيانات النشر: |
Nature Portfolio, 2024. |
| سنة النشر: |
2024 |
| المجموعة: |
LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
| مصطلحات موضوعية: |
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
| الوصف: |
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. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2374-4677 |
| Relation: |
https://doaj.org/toc/2374-4677 |
| DOI: |
10.1038/s41523-023-00605-3 |
| URL الوصول: |
https://doaj.org/article/3efb1bd4ddfe4838842869755c17c107 |
| رقم الانضمام: |
edsdoj.3efb1bd4ddfe4838842869755c17c107 |
| قاعدة البيانات: |
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