Related Experiment Video
Updated: Mar 9, 2026

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
Published on: March 1, 2024
Pan-organ transcriptome variation across 21 cancer types.
Wangxiong Hu1, Yanmei Yang2, Xiaofen Li1
1Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China.
Cancer tissues show reduced gene expression diversity and organ specificity compared to normal tissues. This study reveals shared cell cycle dysregulation and altered gene networks in cancers, suggesting disrupted regulation contributes to tumor development.
Area of Science:
- Genomics and transcriptomics
- Cancer biology and evolution
- Comparative genomics
Background:
- Messenger RNA (mRNA) conservation across species is established.
- Transcriptome divergence between cancer and normal tissues remains underexplored at a pan-organ level.
- Understanding expression evolution in cancer is crucial for deciphering tumorigenesis.
Purpose of the Study:
- To evaluate expression evolution by analyzing transcriptome divergence between normal and tumor tissues.
- To investigate conserved dysregulations across various cancer types.
- To explore alterations in gene co-regulation networks in cancer.
Main Methods:
- Analysis of a transcriptome sequencing dataset from 675 normal-tumor pairs across 21 solid organs (The Cancer Genome Atlas).
- Assessment of gene expression divergence and organ-specificity.
- Identification of differentially expressed genes and application of weighted gene co-expression network analysis (WGCNA).
Main Results:
- Gene expression divergence and organ-specificity are significantly reduced in most cancer types compared to adjacent normal tissues.
- Cell cycle dysregulation is a common feature across all investigated cancer types.
- Gene modules exhibit substantial structural variations between cancer and normal tissues, indicating disrupted co-regulation.
Conclusions:
- The observed reduction in expression divergence and specificity suggests a loss of regulatory complexity in cancer.
- Disruption of coordinated gene regulatory networks may be a key driver of tumorigenesis and progression.
- Findings offer novel insights into cancer biology and regulatory mechanisms.
More Related Videos
13:24Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
09:01Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies
Published on: July 3, 2025