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Abstract P5-06-02: Circulating tumor cells in metastatic breast cancer highlight potential role of copy number evolution in late-stage cancer mutational profile

Authors :
Weelic Chong
Rui Luo
Zhenchao Zhang
Maysa Abu-Khalaf
Daniel Silver
Frederick Fellin
Rebecca Jaslow
AnaMaria Lopez
Terrence Cescon
Ronald Myers
Mariel Becker
Qiang Wei
Bingshan Li
Chun Wang
Hushan Yang
Source :
Cancer Research. 83:P5-06
Publication Year :
2023
Publisher :
American Association for Cancer Research (AACR), 2023.

Abstract

Background: Structural variation is a hallmark of breast cancer. Previous single-cell genomic analysis of 10 untreated early-stage primary TNBC tumors identified only one or two subclones per tumor, found that copy number variation (CNV) occurs early in the evolution of the tumor, and asserted that CNV changes do not contribute to genomic variation at later time points of a tumor’s growth. This PCNE model (punctuated copy number evolution) is analogous to the big-bang theory of colorectal cancer. However, cancer exists in a dynamic environment, and systemic chemotherapy provides evolutionary pressure, making stasis quite unlikely. An investigation of late-stage cancers could shed light on CNV evolution. Methods: We performed a longitudinal, prospective observational study of over 130 patients with metastatic breast cancer, with regular follow-up and detailed treatment histories. CTCs were enumerated by CellSearch, and samples with >20 CTCs in 7.5ml of whole blood were further processed for single CTC isolation via DEPArray, single-cell library construction, and whole-genome sequencing. CNV counts for each cell were obtained using previously published binning methods (Ginkgo). Three mathematical models were used to evaluate the evolution of CNVs: a punctuated model, a gradual model, and a gradual-on-punctuated hybrid model. Results: In total, 150 patient-years of data were collected. Among samples with sufficient CTC counts for study inclusion, a total of nine patients and 376 cells were isolated for sequencing. A mean sequencing depth of 0.8× was achieved from each single cell. The degree of CNV heterogeneity varies from patient to patient. CNV changes occurred over time in a gradual manner on a background of punctuated changes. The adjusted R2 value for the punctuated model was 0.46, the adj R2 value for the gradual model was 0.76, and the hybrid model achieved an adj R2 of 0.99. Patient samples with large CNV heterogeneity across single cells tend to be from patients with longer treatment histories and from the last blood draw (i.e., the blood collection closest to patient’s point of death). We also identified multiple whole-genome duplication (WGD) events from the same patient, in contrast to previous findings that WGD events are usually early clonal events in most instances. Finally, X loss events are among the most frequent chromosomal aberrations identified in CTCs (in up to 80% of CTCs in some patients), which supports previous literature on the loss of the Barr body in hastening metastatic spread. Discussion and Conclusion: In contrast to the previous study, our findings support a gradual-on-punctuated hybrid model, and this model can explain how copy number changes can be a source from which tumors gain resistance to systemic therapies. The model explains how CNV heterogeneities are seen in patients with longer treatment histories, suggesting that CNV continues to be a source of genetic variation at the metastatic stage of the disease course. Citation Format: Weelic Chong, Rui Luo, Zhenchao Zhang, Maysa Abu-Khalaf, Daniel Silver, Frederick Fellin, Rebecca Jaslow, AnaMaria Lopez, Terrence Cescon, Ronald Myers, Mariel Becker, Qiang Wei, Bingshan Li, Chun Wang, Hushan Yang. Circulating tumor cells in metastatic breast cancer highlight potential role of copy number evolution in late-stage cancer mutational profile [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P5-06-02.

Subjects

Subjects :
Cancer Research
Oncology

Details

ISSN :
15387445
Volume :
83
Database :
OpenAIRE
Journal :
Cancer Research
Accession number :
edsair.doi...........48d225f8a86142fd3bf7e34625a3c226