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Prediction of tumor metastasis from sequencing data in the era of genome sequencing.

Authors :
Yuan, Linlin
Guo, Fei
Wang, Lei
Zou, Quan
Source :
Briefings in Functional Genomics. Nov2019, Vol. 18 Issue 6, p412-418. 7p.
Publication Year :
2019

Abstract

Tumor metastasis is the key reason for the high mortality rate of tumor. Growing number of scholars have begun to pay attention to the research on tumor metastasis and have achieved satisfactory results in this field. The advent of the era of sequencing has enabled us to study cancer metastasis at the molecular level, which is essential for understanding the molecular mechanism of metastasis, identifying diagnostic markers and therapeutic targets and guiding clinical decision-making. We reviewed the metastasis-related studies using sequencing data, covering detection of metastasis origin sites, determination of metastasis potential and identification of distal metastasis sites. These findings include the discovery of relevant markers and the presentation of prediction tools. Finally, we discussed the challenge of studying metastasis considering the difficulty of obtaining metastatic cancer data, the complexity of tumor heterogeneity and the uncertainty of sample labels. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20412649
Volume :
18
Issue :
6
Database :
Academic Search Index
Journal :
Briefings in Functional Genomics
Publication Type :
Academic Journal
Accession number :
141218390
Full Text :
https://doi.org/10.1093/bfgp/elz010