ArticleCancer discovery2023
Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma.
Article in Cancer discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Effects and molecular mechanism of inhibiting p53 signaling pathway by NSUN4 on the resistance to BCL-2 inhibitor for diffuse large B-cell lymphoma.Clinical and experimental medicine · 2026Article
- Sequential PD-1 inhibitors as consolidative therapy post-CD19 CART in relapsed/refractory NHL: a propensity score matching cohort study.Journal of translational medicine · 2025Article
- Single-cell Resolved Oncogene Co-expression: From Principles to Clinical Impact.Blood cancer discovery · 2025Article
- Review
- In the diffuse large B-cell lymphoma microenvironment, autophagy genes are upregulated in pro-inflammatory macrophages and linked toFrontiers in immunology · 2025Article
- The implication of next-generation sequencing in the diagnosis and clinical management of non-Hodgkin lymphomas.Frontiers in oncology · 2023Review
- Spatial modelling of the tumor microenvironment from multiplex immunofluorescence images: methods and applications.Frontiers in immunology · 2023Article
Corrections and comments
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Authors and funding
42 authors at 13 institutions in 7 countries.
Funding
Abstract
Cancers often overexpress multiple clinically relevant oncogenes, but it is not known if combinations of oncogenes in cellular subpopulations within a cancer influence clinical outcomes. Using quantitative multispectral imaging of the prognostically relevant oncogenes MYC, BCL2, and BCL6 in diffuse large B-cell lymphoma (DLBCL), we show that the percentage of cells with a unique combination MYC+BCL2+BCL6- (M+2+6-) consistently predicts survival across four independent cohorts (n = 449), an effect not observed with other combinations including M+2+6+. We show that the M+2+6- percentage can be mathematically derived from quantitative measurements of the individual oncogenes and correlates with survival in IHC (n = 316) and gene expression (n = 2,521) datasets. Comparative bulk/single-cell transcriptomic analyses of DLBCL samples and MYC/BCL2/BCL6-transformed primary B cells identify molecular features, including cyclin D2 and PI3K/AKT as candidate regulators of M+2+6- unfavorable biology. Similar analyses evaluating oncogenic combinations at single-cell resolution in other cancers may facilitate an understanding of cancer evolution and therapy resistance. SIGNIFICANCE: Using single-cell-resolved multiplexed imaging, we show that selected subpopulations of cells expressing specific combinations of oncogenes influence clinical outcomes in lymphoma. We describe a probabilistic metric for the estimation of cellular oncogenic coexpression from IHC or bulk transcriptomes, with possible implications for prognostication and therapeutic target discovery in cancer. This article is highlighted in the In This Issue feature, p. 1027.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.