Sandoval, Letícia

A 64-year-old Asian woman diagnosed with synchronous breast ductal carcinoma in situ (DCIS) and stage IV EGFR-mutated non-small cell carcinoma of the lung (NSCLC). A decision was made to defer management of the DCIS and initiate Osimertinib for lung cancer treatment, since this was a life-limiting diagnosis. At 9 months, restaging FDG-PET CT showed an interval response in the NSCLC and complete loss of FDG avidity at the biopsy-proven DCIS site. Breast MRI confirmed complete imaging resolution of the DCIS. The clinical resolution of breast DCIS during third-generation EGFR inhibitor therapy has not been previously reported in humans and highlights a potential role for the EGFR/HER2 (ERBB) pathway in pre-invasive breast cancer.

Abstract Cancer can recur when a subset of tumor cells, termed persister cells, survive therapy and re-enter the cell cycle. The cellular lineages that give rise to persister cells and the mechanisms that confer the persister state remain poorly understood. Through single-cell multiomic profiling (snRNA-seq and snATAC-seq) on a cohort of (1) non-malignant fallopian tube, (2) treatment-naïve, and (3) neoadjuvant chemotherapy (NACT)-treated high-grade serous ovarian cancer (HGSOC) patient samples, we identified an epigenetic signature that defines the chemotherapy-tolerant persister state. The changes in chromatin accessibility characterizing the signature were identified in residual NACT tumors but are also present in treatment-naive samples from patients who later developed resistance. Furthermore, this epigenetic signature independently predicted chemotherapy response in patient-derived xenograft models of HGSOC and in a separate patient cohort. Cells enriched in the persister state arose from multiple lineages and displayed activation of oncogenic pathways, including altered stress responses, epithelial to mesenchymal transition, and changes to the cell cycle promoting quiescence. Finally, we identified a subset of genes that are epigenetically primed for expression before treatment and are upregulated after treatment. These findings suggest that an intrinsic epigenetic program primes tumor cells towards chemotherapy tolerance and reveal new vulnerabilities that could be exploited to delay or prevent cancer recurrence. Citation Format: Mihai G. Dumbrava, Wazim M. Ismail, Leticia Sandoval, Amelia Mazzone, Syed Mohammed Musheer Aalam, Megan L. Ritting, Xiaonan Hou, Yiwen Xie, Shariska Harrington, Scott H. Kaufmann, Nagarajan Kannan, S. John Weroha, Alexandre Gaspar-Maia. Single cell multiomic analysis of high-grade serous ovarian carcinoma reveals an intrinsic epigenetic program that primes chemotherapy tolerance in persister cells [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Ovarian Cancer Research; 2025 Sep 19-21; Denver, CO. Philadelphia (PA): AACR; Cancer Res 2025;85(18_Suppl):Abstract nr PR008.

Abstract Cancer can recur when a subset of tumor cells, denoted here as persister cells, are able to survive therapy and re-enter the cell cycle. The precise mechanisms that confer the persister state and whether it is characteristic of a subgroup of cells or arises from multiple cellular lineages remain poorly understood. We hypothesize that an epigenetic signature underlies the drug-tolerant persister state, characterized by transcriptional and chromatin accessibility changes that promote survival of residual cancer following chemotherapy. To identify clinically relevant features of persister cells in untreated tumors and residual disease, we performed single-cell multiomic profiling (snRNA+snATAC) on a cohort of non-malignant fallopian tube, treatment-naïve, and neoadjuvant chemotherapy (NACT)-treated high-grade serous ovarian cancer (HGSOC) samples. We identified differences in gene expression and open chromatin between naïve and residual patient tumors following chemotherapy. Although only a small proportion of the differentially expressed genes enriched in residual HGSOC overlapped with established gene sets for chemo-response and patient prognosis, the epigenomic analysis revealed activity of several DNA-binding factors that are both enriched upon chemotherapy and also high in resistant tumors prior to treatment. From this analysis, we identified an epigenetic signature that precedes expression and defines the persister state. This epigenetic signature also correlated with chemotherapy sensitivity and resistance using patient-derived xenograft models of HGSOC. Gene regulatory networks driven by the persister signature are involved in the activation of oncogenic pathways, including changes to the cell cycle promoting quiescence and stress response. Further study of the persister cells identified by this epigenetic signature may increase understanding of the mechanisms underlying persister cell survival and reveal new vulnerabilities that could be exploited to delay or prevent cancer recurrence.

The snATAC + snRNA platform allows epigenomic profiling of open chromatin and gene expression with single-cell resolution. The most critical assay step is to isolate high-quality nuclei to proceed with droplet-base single nuclei isolation and barcoding. With the increasing popularity of multiomic profiling in various fields, there is a need for optimized and reliable nuclei isolation methods, mainly for human tissue samples. Herein we compared different nuclei isolation methods for cell suspensions, such as peripheral blood mononuclear cells (PBMC, n = 18) and a solid tumor type, ovarian cancer (OC, n = 18), derived from debulking surgery. Nuclei morphology and sequencing output parameters were used to evaluate the quality of preparation. Our results show that NP-40 detergent-based nuclei isolation yields better sequencing results than collagenase tissue dissociation for OC, significantly impacting cell type identification and analysis. Given the utility of applying such techniques to frozen samples, we also tested frozen preparation and digestion (n = 6). A paired comparison between frozen and fresh samples validated the quality of both specimens. Finally, we demonstrate the reproducibility of scRNA and snATAC + snRNA platform, by comparing the gene expression profiling of PBMC. Our results highlight how the choice of nuclei isolation methods is critical for obtaining quality data in multiomic assays. It also shows that the measurement of expression between scRNA and snRNA is comparable and effective for cell type identification.