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Updated: Feb 4, 2026
08:43
Orthotopic Mouse Model of Colorectal Cancer
Published on: December 4, 2007
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Continuity of transcriptomes among colorectal cancer subtypes based on meta-analysis
Siyuan Ma1, Shuji Ogino2, Princy Parsana3
1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Genome Biology
|September 27, 2018
Summary
Colorectal carcinoma (CRC) transcriptomes do not exist as discrete subtypes. New validated scores better represent CRC transcriptomes as a continuum, improving prediction of tumor characteristics and survival outcomes.
Area of Science:
- Genomics
- Cancer Biology
- Bioinformatics
Background:
- Previous studies assumed discrete subtypes for colorectal carcinoma (CRC) based on transcriptomes.
- This study challenges the assumption of discrete subtypes in CRC and other cancers.
Purpose of the Study:
- To analyze gene expression patterns in a large cohort of colorectal tumors.
- To test the assumption of discrete subtypes and propose a continuum model.
- To identify robust subtype scores for CRC transcriptomes.
Main Methods:
- Meta-analysis of 18 gene expression datasets (>3700 patients).
- Identification of co-expression patterns across multiple datasets.
- Development and validation of continuous subtype scores.
Main Results:
- No evidence found to support discrete transcriptional subtypes in CRC.
- Validated continuous subtype scores better represent CRC transcriptomes than discrete subtypes.
- Subtype scores improved prediction of tumor location, stage, grade, and disease-free survival.
Conclusions:
- Discrete subtypes of the colorectal carcinoma transcriptome are not supported by current data.
- Two validated scores effectively characterize a continuum of CRC transcriptomes.
- These scores offer improved biological insights and clinical utility.
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