Evidence map›Paper›PMID 41942602›Full record

ArticleScientific reports2026

Distinct molecular profiles associated with early vs late genome instability in cancer.

Lucie Gourmet, James Lam, Adam Pennycuick, Luis Zapata, Parag Mallick, Simon Walker-Samuel

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lucie GourmetCentre for Computational Medicine, University College London, London, UK.
James LamCentre for Computational Medicine, University College London, London, UK.
Adam PennycuickLungs for Living Research Centre, UCL Respiratory University College London, London, UK.
Luis ZapataCentre for Evolution and Cancer Institute of Cancer Research, London, UK.
Parag MallickDepartment of Radiology, Stanford University, Palo Alto, California, USA.
Simon Walker-SamuelCentre for Computational Medicine, University College London, London, UK. simon.walkersamuel@ucl.ac.uk.

Funding

Cancer Research UK C44767/A29458 and C23017/A27935EPSRC EP/W007096/1
6 · The paper itself

Abstract

The temporal order in which cancer hallmark phenotypes emerge can influence tumor behavior and prognosis. In prior work, we used variant allele frequency (VAF) analysis to infer hallmark acquisition order in over 30,000 tumors, identifying two dominant evolutionary trajectories: one characterized by early genome instability (EGI) and the other by late genome instability (LGI). These trajectories were associated with distinct survival outcomes. Here, we investigate the molecular and microenvironmental features that differentiate these two groups, using data from The Cancer Genome Atlas (TCGA). We show that EGI tumors exhibit higher aneuploidy and are enriched for mutational signatures linked to homologous recombination deficiency, particularly SBS3, while LGI tumors show greater prevalence of environmentally associated signatures, including those linked to UV exposure and haloalkanes. Immune profiling revealed that activated mast cells, dendritic cells, and NK cells are enriched in EGI tumors, whereas resting mast cells are strongly associated with LGI tumors. Stemness scores were also significantly higher in EGI tumors, while epithelial-mesenchymal transition (EMT) metrics did not differ between groups. These findings suggest that the timing of genome instability is associated with distinct mutational processes, immune states, and plasticity features. Understanding these differences may provide insight into tumor evolution and offer opportunities for stratified therapeutic intervention based on hallmark ordering.

Indexed as

Genomic InstabilityNeoplasmsAneuploidyEpithelial-Mesenchymal TransitionGene FrequencyHumansMutationTumor Microenvironment

Identifiers

PMID41942602
PMCPMC13216520

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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.