AI Article Synopsis
- Transcriptome-based classification is being considered for colorectal cancer (CRC) to better understand the relationship between molecular profiles and existing tumor markers like blood carcinoembryonic antigen (CEA).
- More than 1,500 Japanese CRC patients were grouped into five subtypes based on consensus molecular subtyping (CMS), revealing distinct characteristics in tumors that didn't fit traditional classifications.
- For CMS4 stage III CRC patients, high blood CEA levels may indicate a more aggressive disease, suggesting that combining molecular profiling with classical markers could enhance treatment decisions and insights into tumor immunity.
Article Abstract
Transcriptome-based classification, such as consensus molecular subtyping, is expected to be applied to colorectal cancer (CRC). However, the relationship between molecular profiles and classical tumor markers, which are already used in clinical practice, has not been analyzed in a large cohort and remains unclear. We classified more than 1,500 Japanese patients with CRC based on consensus molecular subtyping and investigated the clinically available blood carcinoembryonic antigen (CEA) concentrations of each subgroup. To precisely distinguish CRCs, we allocated them to five subgroups, including tumors that were difficult to classify using the consensus molecular subtypes (CMSs), and extracted a heterogeneous population with somatic mutations and expression profiles that differed from those of the CMSs 1-4. For patients allocated to the CMS4 subgroup of stage III CRCs, elevated blood CEA concentrations may identify a subgroup with highly aggressive disease and contribute to improving therapeutic decisions. Furthermore, gene expression and pathway analyses of tumor and non-tumor tissues revealed that tumor immunity was "cold" in this subgroup with high CEA concentrations. The combination of emerging molecular profiling and classical tumor markers may have greater clinical utility than either used alone.
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| http://dx.doi.org/10.2220/biomedres.43.201 | DOI Listing |
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