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Article

Cancer associated variant enrichment CAVE, a gene agnostic approach to identify low burden variants in chronic lymphocytic leukemia.

Scientific reports - 20 Sept 2024

Yaacov Adar, Lazarian Gregory, Pandzic Tatjana, Weström Simone, Baliakas Panagiotis, Imache Samia, Lefebvre Valérie, Cymbalista Florence, Baran-Marszak Fanny, Rosenberg Shai, Soussi Thierry

Abstract excerpt

Intratumoral heterogeneity is an important clinical challenge because low burden clones expressing specific genetic alterations drive therapeutic resistance mechanisms. We have developed CAVE (cancer-associated variant enrichment), a gene-agnostic computational tool to identify specific enrichment of low-burden cancer driver variants in next-generation sequencing (NGS) data. For this study, CAVE was applied to...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 39304718
DOI: 10.1038/s41598-024-73027-1
PMCID: PMC11415367

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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