Machine learning-based tissue of origin classification for cancer of unknown primary diagnostics using genome-wide mutation features.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
11 07 2022
Historique:
received: 13 10 2021
accepted: 23 06 2022
entrez: 11 7 2022
pubmed: 12 7 2022
medline: 14 7 2022
Statut: epublish

Résumé

Cancers of unknown primary (CUP) origin account for ∼3% of all cancer diagnoses, whereby the tumor tissue of origin (TOO) cannot be determined. Using a uniformly processed dataset encompassing 6756 whole-genome sequenced primary and metastatic tumors, we develop Cancer of Unknown Primary Location Resolver (CUPLR), a random forest TOO classifier that employs 511 features based on simple and complex somatic driver and passenger mutations. CUPLR distinguishes 35 cancer (sub)types with ∼90% recall and ∼90% precision based on cross-validation and test set predictions. We find that structural variant derived features increase the performance and utility for classifying specific cancer types. With CUPLR, we could determine the TOO for 82/141 (58%) of CUP patients. Although CUPLR is based on machine learning, it provides a human interpretable graphical report with detailed feature explanations. The comprehensive output of CUPLR complements existing histopathological procedures and can enable improved diagnostics for CUP patients.

Identifiants

pubmed: 35817764
doi: 10.1038/s41467-022-31666-w
pii: 10.1038/s41467-022-31666-w
pmc: PMC9273599
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4013

Informations de copyright

© 2022. The Author(s).

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Auteurs

Luan Nguyen (L)

University Medical Center Utrecht, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands.

Arne Van Hoeck (A)

University Medical Center Utrecht, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands.

Edwin Cuppen (E)

University Medical Center Utrecht, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands. e.cuppen@hartwigmedicalfoundation.nl.
Hartwig Medical Foundation, Science Park 408, 1098 XH, Amsterdam, The Netherlands. e.cuppen@hartwigmedicalfoundation.nl.

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