A Pan-Cancer Analysis of microRNA Tissue Specificity and Its Association with Dysregulation

MicroRNAs are frequently dysregulated in cancer, yet how their tissue specificity is remodeled during malignant transformation remains poorly characterized. Here, we systematically quantified the tissue specificity of miRNAs across normal (GTEx) and cancer (TCGA) tissues using the Tau index as the primary metric and the Gini index for independent validation. Our analysis revealed a negative association between tissue specificity in healthy tissues and changes in specificity during malignant transformation, indicating that miRNAs with higher tissue specificity in normal tissues tend to undergo greater loss of specificity in cancer. To robustly define dysregulation, we combined two independent analyses: a binomial test over per-project differential expression across 17 matched normal tissues within the TCGA cohort, and a TCGA–GTEx pan-tissue comparison of mean expression. The change in specificity (ΔTau) separated up- from downregulated miRNAs, showing moderate agreement with the binomial signal and a strong correlation with the expression-based contrast. Finally, we identified six miRNAs that lose tissue specificity upon transformation while remaining consistently upregulated (miR-519a-5p, miR-512-3p, miR-522-3p, miR-105-5p, miR-935, miR-1269a). Functional analysis of their experimentally validated and predicted targets showed significant enrichment for converging on core oncogenic programs. Collectively, integrating specificity dynamics with dysregulation evidence pinpoints candidate miRNAs with coordinated, cancer-relevant regulatory roles and highlights those with favorable tissue-specificity profiles that may warrant further investigation as potential therapeutic candidates.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-09-13
DOI
https://doi.org/10.3390/ijms27188153
Primary Topic
MicroRNA in disease regulation
Type
article
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article

A Pan-Cancer Analysis of microRNA Tissue Specificity and Its Association with Dysregulation

Maria Poptsova, Alexey A. Belogurov, A. M. Ismailov, Alena Evpak
International Journal of Molecular Sciences
MicroRNA in disease regulation
article

A Pan-Cancer Analysis of microRNA Tissue Specificity and Its Association with Dysregulation

Maria Poptsova, Alexey A. Belogurov, A. M. Ismailov, Alena Evpak
article en

Abstract

MicroRNAs are frequently dysregulated in cancer, yet how their tissue specificity is remodeled during malignant transformation remains poorly characterized. Here, we systematically quantified the tissue specificity of miRNAs across normal (GTEx) and cancer (TCGA) tissues using the Tau index as the primary metric and the Gini index for independent validation. Our analysis revealed a negative association between tissue specificity in healthy tissues and changes in specificity during malignant transformation, indicating that miRNAs with higher tissue specificity in normal tissues tend to undergo greater loss of specificity in cancer. To robustly define dysregulation, we combined two independent analyses: a binomial test over per-project differential expression across 17 matched normal tissues within the TCGA cohort, and a TCGA–GTEx pan-tissue comparison of mean expression. The change in specificity (ΔTau) separated up- from downregulated miRNAs, showing moderate agreement with the binomial signal and a strong correlation with the expression-based contrast. Finally, we identified six miRNAs that lose tissue specificity upon transformation while remaining consistently upregulated (miR-519a-5p, miR-512-3p, miR-522-3p, miR-105-5p, miR-935, miR-1269a). Functional analysis of their experimentally validated and predicted targets showed significant enrichment for converging on core oncogenic programs. Collectively, integrating specificity dynamics with dysregulation evidence pinpoints candidate miRNAs with coordinated, cancer-relevant regulatory roles and highlights those with favorable tissue-specificity profiles that may warrant further investigation as potential therapeutic candidates.

International Journal of Molecular SciencesVol. 27(18)
National Research University Higher School of Economics (RU), Institute of Bioorganic Chemistry (RU), Russian Scientific Center of Surgery (RU)
Good health and well-being
Openalex Percentile: Top 14%
MicroRNA in disease regulation
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