Identifying cancer tissue-of-origin by a novel machine learning method based on expression quantitative trait loci.

ABSTRACT: Cancer of unknown primary (CUP) refers to cancer with primary lesion unidentifiable by regular pathological and clinical diagnostic methods. This kind of cancer is extremely difficult to treat, and patients with CUP usually have a very short survival time. Recent studies have suggested that cancer treatment targeting primary lesion will significantly improve the survival of CUP patients. Thus, it is critical to develop accurate yet fast methods to infer the tissue-of-origin (TOO) of CUP. In the past years, there are a few computational methods to infer TOO based on single omics data like gene expression, methylation, somatic mutation, and so on. However, the metastasis of tumor involves the interaction of multiple levels of biological molecules. In this study, we developed a novel computat

SUBMITTER: Miao Y 

PROVIDER: S-EPMC9396384 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature