Abstract 7353: Exploring intrapatient heterogeneity in metastatic breast cancer: Insights into tumor evolution from a warm procurement trial
Authors: Isaac Bishara, Xuan Liu, Jason Griffiths, Jiayi Liu, Patrick Cosgrove, Jasmine R. McQuerry, Feng Chi, Pierre Wallet, Vince K. Grolmusz, Benjamin Copeland, Lance Pflieger, Jinfeng Chen, Sumana Majumdar, Grace Ronquillo, Terron Crowder, Rena Emond, Rachel Factor, Eliza Barragan, David Bowtell, Adam Cohen, Daniel D. Schmolze, Peter Lee, Kena Ihle, Lusine Tumyan, Aritro Nath, James Waisman, Andrea Bild, Jeff Chang
Journal: Cancer Research (2024)

Abstract Metastatic breast cancers show variable clinical responses due to inherent heterogeneity, both within tumors and among patients. Studies mainly examine molecular diversity across different patients' tumors and genetic variance within a single tumor. Yet, the variability among multiple tumors or metastases in a single patient remains underexplored. Our study investigates this intrapatient heterogeneity, examining cell and tumor evolution from a single genetic source in metastatic breast cancer. In a warm procurement trial involving 6 patients with multi-site tumors, samples were collected for detailed molecular analysis. Whole exome sequencing (WES) and single-cell RNA sequencing (scRNA-seq) were used to analyze genetic similarities and disparities. WES data revealed mutational patterns and copy number alterations, showing homogeneity and heterogeneity in tumors within patients. Further, phylogenetic analysis with scRNA-seq variant calls paired with transcriptional phenotypes uncovered a MYC-enriched subclonal population in a metastatic site. Integrating WES and scRNA-seq data provided a clearer understanding of the genomic and phenotypic features in and between patients. Our WES study revealed significant interpatient variations in genetic drivers and CNA profiles. Among five patients, two showed APOBEC and HR mutations, linked to increased tumor mutations. Despite general genetic homogeneity, there were exceptions. Tumors in Patient 3's upper lymph nodes had distinct genetics compared to abdominal tumors. Unique genetic patterns were also noted in the pancreas and mesentery of Patients 3 and 7, respectively. Genetic findings were supported by transcriptional analysis, showing distinct expression patterns in specific sites. Phylogenetic analysis highlighted intratumor heterogeneity, as shown by variations in phylogenetic composition and gene expression across samples. Notably, in patients with the most samples (Patients 3 and 7), a conserved cell clade, evolved early and primarily located in a single site, displayed a high proliferation gene expression signature closely associated with Myc activity. This underscores the importance of early clonal expansions in tumor evolution and suggests potential therapeutic targets in these early, proliferative cells. Our study highlights the vital role of intrapatient heterogeneity in understanding cancer complexity and treatment resistance. By analyzing genetic and phenotypic variability in multi-site tumors within patients, and Myc's key role in tumor growth and evolution, our research offers new insights into tumor evolution. This underscores the need for personalized oncology treatments based on each patient's tumor genetics. Citation Format: Isaac Bishara, Xuan Liu, Jason Griffiths, Jiayi Liu, Patrick Cosgrove, Jasmine R. McQuerry, Feng Chi, Pierre Wallet, Vince K. Grolmusz, Benjamin Copeland, Lance Pflieger, Jinfeng Chen, Sumana Majumdar, Grace Ronquillo, Terron Crowder, Rena Emond, Rachel Factor, Eliza Barragan, David Bowtell, Adam Cohen, Daniel D. Schmolze, Peter Lee, Kena Ihle, Lusine Tumyan, Aritro Nath, James Waisman, Andrea Bild, Jeff Chang. Exploring intrapatient heterogeneity in metastatic breast cancer: Insights into tumor evolution from a warm procurement trial [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(6_Suppl):Abstract nr 7353.