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Abstract Triple-negative breast cancer (TNBC) is a highly aggressive type of breast cancer commonly treated with neoadjuvant chemotherapy (NAC). While about 50% of patients achieve a pathological complete response (pCR), the remainder often develop resistance and metastasis, leading poor survivals. Currently, the factors linking pre-treatment cancer cells and the tumor microenvironment (TME) to NAC response are unclear. To investigate this question, we conducted single-cell RNA sequencing on fresh pre-treatment core biopsy samples collected from patients in the ARTEMIS clinical trial. We identified 13 gene expression meta-programs of cancer cells and about 50 cell states of immune and stromal cell types. Based on the cancer cells alone, we identified four TNBC archetypes at patient-level: luminal secretory-associated (LSA), basal-associated (BA), immunoreactive (IR), and luminal androgen receptor (LAR). Notably, the archetype BA and IR were associated with non-pCR and pCR, respectively. Additionally, we found the TNBC ecosystem was composed of eight eco-hubs, reflecting the co-occurrence patterns of cancer and TME cell states. These eco-hubs revealed different cell community across archetypes and NAC outcomes. For example, an eco-hub with a co-occurrence of interferon response-related cancer cells and immune cells was prevalent in the archetype IR and pCR patients. To facilitate a clinical application, we further developed a 13-gene-based machine learning model to predict NAC response. In summary, these results provide new insights into the cellular determinants of TNBC biology and chemotherapeutic response. Citation Format: Yun Yan, Yiyun Lin, Tapsi Kumar, Shanshan Bai, Jianzhuo Li, Tuan Tran, Min Hu, Elizabeth Ravenberg, Maia Rauch, Alyson Clayborn, Alastair Thompson, Bora Lim, Lei Huo, Stacy Moulder, Clinton Yam, Nicholas Navin. Decoding the archetypes and eco-hubs of triple-negative breast cancer in responses to chemotherapy abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts) ; 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84 (6Suppl): Abstract nr 6933.
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Yun Yan
Yiyun Lin
Tapsi Kumar
Cancer Research
The University of Texas MD Anderson Cancer Center
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Yan et al. (Fri,) studied this question.
www.synapsesocial.com/papers/68e72e24b6db6435876a76ca — DOI: https://doi.org/10.1158/1538-7445.am2024-6933
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