Abstract 4773: MYC associated transcriptional heterogeneity at the single cell level

Abstract Background: Tumor heterogeneity allows cancer cells to adapt to microenvironmental stress and resist therapies. MYC is commonly amplified in human cancers and its expression can be heterogeneous due to variations in extrachromosomal DNA (ecDNA) and the pulsatile nature of MYC expression. However, the heterogeneity of the MYC responsive transcriptome among single cells is unknown. Here, we evaluate the heterogeneity of MYC transcriptional response in vitro in an inducible MYC cancer cell line. Methods: We used the P493-6 human B cell line model of Epstein-Barr Virus associated Burkitt’s lymphoma (BL) with tetracycline-repressible (Tet-OFF) ectopic MYC expression. We modulated MYC expression by addition of tetracycline and performed paired bulk and single-cell RNA-sequencing (scRNA-seq). To further characterize the transcriptional response of these cells with different MYC levels, we turned off MYC in these cells and then turned it back on to capture cells with increasing levels of MYC over time and performed paired bulk and single-cell RNA sequencing. Results: We observed heterogeneous expression of MYC and strikingly diverse expression of MYC responsive genes at the single cell level. After MYC induction with the removal of tetracycline, we observe a time-dependent decrease in STAT1 and other immune-related gene expression and movement of single cell transcriptomic clusters in high dimensional space visualized with tSNE plotting. Intriguingly, we observed a small cluster of CD58+ cells whose position in the tSNE space is unaltered by MYC status. We surmise that this cluster behaves like ‘stem’ cells capable of repopulating the entire population of P493 cells. Interestingly, we also see this small cluster of cells in some patient-derived BL cell lines. Conclusions: Overall, we provide detailed evidence of MYC driven transcriptional heterogeneity at the single cell level. Our preliminary evidence of this unique ‘stem-cell’ like population of cells in BL warrants further study. Citation Format: Saravana Gowtham Baskaran, Min-Zhi Jiang, Ada Tam, Hongkai Ji, Chi Van Dang. MYC associated transcriptional heterogeneity at the single cell level [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4773.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-4773
Primary Topic
Single-cell and spatial transcriptomics
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article
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article

Abstract 4773: MYC associated transcriptional heterogeneity at the single cell level

Min-Zhi Jiang, Ada Tam, Saravana Gowtham Baskaran, Chi Van Dang et al.
Cancer Research
Single-cell and spatial transcriptomics
article

Abstract 4773: MYC associated transcriptional heterogeneity at the single cell level

Min-Zhi Jiang, Ada Tam, Saravana Gowtham Baskaran, Chi Van Dang, Hongkai Ji
article en

Abstract

Abstract Background: Tumor heterogeneity allows cancer cells to adapt to microenvironmental stress and resist therapies. MYC is commonly amplified in human cancers and its expression can be heterogeneous due to variations in extrachromosomal DNA (ecDNA) and the pulsatile nature of MYC expression. However, the heterogeneity of the MYC responsive transcriptome among single cells is unknown. Here, we evaluate the heterogeneity of MYC transcriptional response in vitro in an inducible MYC cancer cell line. Methods: We used the P493-6 human B cell line model of Epstein-Barr Virus associated Burkitt’s lymphoma (BL) with tetracycline-repressible (Tet-OFF) ectopic MYC expression. We modulated MYC expression by addition of tetracycline and performed paired bulk and single-cell RNA-sequencing (scRNA-seq). To further characterize the transcriptional response of these cells with different MYC levels, we turned off MYC in these cells and then turned it back on to capture cells with increasing levels of MYC over time and performed paired bulk and single-cell RNA sequencing. Results: We observed heterogeneous expression of MYC and strikingly diverse expression of MYC responsive genes at the single cell level. After MYC induction with the removal of tetracycline, we observe a time-dependent decrease in STAT1 and other immune-related gene expression and movement of single cell transcriptomic clusters in high dimensional space visualized with tSNE plotting. Intriguingly, we observed a small cluster of CD58+ cells whose position in the tSNE space is unaltered by MYC status. We surmise that this cluster behaves like ‘stem’ cells capable of repopulating the entire population of P493 cells. Interestingly, we also see this small cluster of cells in some patient-derived BL cell lines. Conclusions: Overall, we provide detailed evidence of MYC driven transcriptional heterogeneity at the single cell level. Our preliminary evidence of this unique ‘stem-cell’ like population of cells in BL warrants further study. Citation Format: Saravana Gowtham Baskaran, Min-Zhi Jiang, Ada Tam, Hongkai Ji, Chi Van Dang. MYC associated transcriptional heterogeneity at the single cell level [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4773.

Cancer ResearchVol. 86(7_Supplement)
Johns Hopkins University (US), University of Baltimore (US)
Openalex Percentile: Top 30%
Single-cell and spatial transcriptomics
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