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Machine learning for genetics-based classification and treatment response prediction in cancer of un...

Machine learning for genetics-based classification and treatment response prediction in cancer of un...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11484892

Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary

About this item

Full title

Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary

Publisher

New York: Nature Publishing Group US

Journal title

Nature medicine, 2023-08, Vol.29 (8), p.2057-2067

Language

English

Formats

Publication information

Publisher

New York: Nature Publishing Group US

More information

Scope and Contents

Contents

Cancer of unknown primary (CUP) is a type of cancer that cannot be traced back to its primary site and accounts for 3–5% of all cancers. Established targeted therapies are lacking for CUP, leading to generally poor outcomes. We developed OncoNPC, a machine-learning classifier trained on targeted next-generation sequencing (NGS) data from 36,445 tum...

Alternative Titles

Full title

Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11484892

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11484892

Other Identifiers

ISSN

1078-8956,1546-170X

E-ISSN

1546-170X

DOI

10.1038/s41591-023-02482-6

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