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Updated: Sep 27, 2026

Molecular Profiling of the Invasive Tumor Microenvironment in a 3-Dimensional Model of Colorectal Cancer Cells and Ex vivo Fibroblasts
Published on: April 29, 2014
Unraveling Circular and Messenger RNA Dynamics in Colorectal Tumorigenesis: Insights into Tissue Heterogeneity and
Sabine Vautier1, Corentin Levacher2, Florent Marguet3
1Department of Genetics, CHU Rouen, Inserm U1245, Univ Rouen Normandie, Normandie Univ, F-76000 Rouen, France.
Background/Objectives:
Circular RNAs (circRNAs) are emerging regulators of genetic information that share the spliceosome biogenesis pathway with messenger RNAs (mRNAs), influencing their expression. There is an increasing body of evidence supporting their role in colorectal cancer (CRC) tumorigenesis. This study explored circRNAs in two distinct CRC tumorigenesis pathways: microsatellite instability (MSI) and microsatellite stability (MSS). We investigated competition between mRNA and circRNAs from their host genes, which could potentially disrupt normal gene regulation, and examined specific patterns of alterations in MSS and MSI tumors.
Methods:
Circular (circ) and linear (lin) exon-exon junctions were quantified using exon-specific probes targeting 48 genes involved in CRC predisposition and tumorigenesis processes. RNA was extracted from colorectal FFPE samples (stage 1 to 4 adenocarcinomas and adenomas). MSS tumors (MSS-TTs) and adjacent normal tissue (MSS-NT) were selected from 21 patients with a severe personal or family history of cancer. MSI tumors (MSI-TTs) and adjacent normal tissue (MSI-NT) were selected from 16 patients. Muscle content was also investigated as a potential confounding factor.
Results:
Principal component analysis distinguished NT from TT samples based on the sums of circular and linear junctions. CircRNA abundance was higher in samples with an elevated muscle content (Kruskal-Wallis test p-value = 0.034). Linear regression, adjusted for muscle content, showed significantly reduced global circRNA levels in tumors compared to in healthy tissues (MSI and MSS combined, p-value = 0.00268). In the MSS group, significant differences were observed between MSS-NT and MSS-TT in terms of circ/lin ratios and linear and circular junction counts for specific genes. MSI analysis revealed distinct gene profiles, with significant differences only in linear junction counts.
Conclusions:
Our results do not suggest competition between the circRNAs and mRNAs of the key oncogenic genes that we investigated, but they do reveal differences in circRNA/mRNA expression patterns within normal and tumor tissues.
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