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Article

Machine learning of genomic features in organotropic metastases stratifies progression risk of primary tumors.

Nature communications - 18 Nov 2021

Jiang Biaobin, Mu Quanhua, Qiu Fufang, Li Xuefeng, Xu Weiqi, Yu Jun, Fu Weilun, Cao Yong, Wang Jiguang

Abstract excerpt

Metastatic cancer is associated with poor patient prognosis but its spatiotemporal behavior remains unpredictable at early stage. Here we develop MetaNet, a computational framework that integrates clinical and sequencing data from 32,176 primary and metastatic cancer cases, to assess metastatic risks of primary tumors. MetaNet achieves high accuracy in distinguishing the metastasis from the primary in breast and...

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Identifiers

PMID: 34795255
DOI: 10.1038/s41467-021-27017-w
PMCID: PMC8602327

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