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Article

Modeling metastatic progression from cross-sectional cancer genomics data.

Bioinformatics (Oxford, England) - 28 Jun 2024

Rupp Kevin, Lösch Andreas, Hu Yanren Linda, Nie Chenxi, Schill Rudolf, Klever Maren, Pfahler Simon, Grasedyck Lars, Wettig Tilo, Beerenwinkel Niko, Spang Rainer

Abstract excerpt

MOTIVATION: Metastasis formation is a hallmark of cancer lethality. Yet, metastases are generally unobservable during their early stages of dissemination and spread to distant organs. Genomic datasets of matched primary tumors and metastases may offer insights into the underpinnings and the dynamics of metastasis formation. RESULTS: We present metMHN, a cancer progression model designed to deduce the joint...

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Identifiers

PMID: 38940126
DOI: 10.1093/bioinformatics/btae250
PMCID: PMC11245855

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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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