Leveraging transcriptomics for precision diagnosis: Lessons learned from cancer and sepsis.

ABSTRACT: Diagnostics require precision and predictive ability to be clinically useful. Integration of multi-omic with clinical data is crucial to our understanding of disease pathogenesis and diagnosis. However, interpretation of overwhelming amounts of information at the individual level requires sophisticated computational tools for extraction of clinically meaningful outputs. Moreover, evolution of technical and analytical methods often outpaces standardisation strategies. RNA is the most dynamic component of all -omics technologies carrying an abundance of regulatory information that is least harnessed for use in clinical diagnostics. Gene expression-based tests capture genetic and non-genetic heterogeneity and have been implemented in certain diseases. For example patients with early breast ca

SUBMITTER: Tsakiroglou M 

PROVIDER: S-EPMC10036914 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature