Exploring the influence of pre-analytical variables on gene expression measurements and relative expression orderings in cancer research.

ABSTRACT: Gene expression profiling is an effective method for identifying predictive and prognostic biomarkers. However, measurements are prone to uncertainty and errors due to various pre-analytical variables. Systematic evaluating effects of these variables on gene expression measurements and relative expression orderings (REOs) of gene pairs, is necessary. A total of 18 datasets were collected, comprising over 800 paired samples. These paired samples were utilized to assess the impact of pre-analytical variables on gene expression measurements and REOs, including sampling methods, tumor sample heterogeneity, fixed time delays, preservation conditions, degradation levels, library preparation kits, amplification kits, RNA quantity, measuring platforms, and laboratory sites at single and multi-vari

SUBMITTER: Tian T 

PROVIDER: S-EPMC11802807 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature