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Intra-tumor heterogeneity of microRNA-92a, microRNA-375 and microRNA-424 in colorectal cancer

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UNLABELLED: Various microRNAs (miRNAs) have been investigated in order to improve diagnostics and risk assessment in colorectal cancer (CRC). To clarify the potential of miRNA profiling in CRC, knowledge of intra-tumor heterogeneity in expression levels is crucial. The study aim was to estimate the intra-tumor variance of three selected miRNAs: miR-92a, miR-375 and miR-424 in CRC tissue.

MATERIAL AND METHODS: A retrospective study on archived formalin-fixed paraffin embedded tissue from 9 patients with CRC. miRNA tissue expression levels were analyzed by qRT-PCR on tissue representing luminal, central and invasive border zones. Variance components were estimated based on ∆∆Cp values using mixed modeling and presented as coefficients of variation (CV).

RESULTS: Intra-tumor variance was approximately half of the variance observed between patients with a mean intra-tumor CV of 56.4% (range 33.1-77.1%) and a mean inter-patient CV of 101.7% (range 48.8-152.7%). Furthermore we found a significant systematic difference in expression levels between tumor zones for miR-92a and miR-375 with a luminal-invasive difference equal to 0.60 Cp (95% CI: 0.30-0.89, p=0.0003) for miR-92a and a luminal-invasive difference equal to 0.78 Cp (95% CI: 0.10-1.46, p=0.027) for miR-375. Conclusion While the intra-tumor variance of miR-92a, miR-375 and miR-424 is substantial, it only constitutes approximately 30% of the total variation. Functional deregulation between tumor zones might contribute to variations in measured expression levels, and thus knowledge of specific intra-tumor expression patterns is crucial in tissue sampling for research as well as in future diagnostics.

Original languageEnglish
JournalExperimental and Molecular Pathology
Volume100
Issue number1
Pages (from-to)125-31
Number of pages7
ISSN0014-4800
DOIs
Publication statusPublished - Feb 2016

    Research areas

  • Colorectal Neoplasms, Gene Expression Profiling, Genetic Markers, Humans, MicroRNAs, Real-Time Polymerase Chain Reaction, Retrospective Studies, Journal Article, Research Support, Non-U.S. Gov't

ID: 49700292