MicroRNA Profiling in Papillary Thyroid Cancer

Genetic alterations are well known to be related to the pathogenesis and prognosis of papillary thyroid carcinoma (PTC). Some miRNA expression dysregulations have previously been described in the context of cancer development including thyroid carcinoma. In our study, we performed original molecular diagnostics on tissue samples related to our own patients. We aimed to identify all dysregulated miRNAs in potential association with PTC development via sequencing much higher numbers of control-matched PTC tissue samples and analyzing a wider variety of miRNA types than previous studies. We analyzed the expression levels of 2656 different human miRNAs in the context of 236 thyroid tissue samples (118 tumor and control pairs) related to anonymized PTC cases. Also, KEGG pathway enrichment analysis and GO framework analysis were used to establish the links between miRNA dysregulation and certain biological processes, pathways of signaling, molecular functions, and cellular components. A total of 30 significant differential miRNA expressions with at least ±1 log<sub>2</sub> fold change were found related to PTC including, e.g., miR-551b, miR-146b, miR-221, miR-222, and miR-375, among others, being highly upregulated, as well as miR-873 and miR-204 being downregulated. In addition, we identified miRNA patterns in vast databases (KEGG and GO) closely similar to that of PTC including, e.g., miRNA patterns of prostate cancer, HTLV infection, HIF-1 signaling, cellular responses to growth factor stimulus and organic substance, and negative regulation of gene expression. We also found 352 potential associations between certain miRNA expressions and states of clinicopathological variables. Our findings-supported by the largest case number of original matched-control PTC-miRNA relation research-suggest a distinct miRNA expression profile in PTC that could contribute to a deeper understanding of the underlying molecular mechanisms promoting the pathogenesis of the disease. Moreover, significant miRNA expression deviations and their signaling pathways in PTC presented in our study may serve as potential biomarkers for PTC diagnosis and prognosis or even therapeutic targets in the future.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2024-08-29
DOI
https://doi.org/10.3390/ijms25179362
Citations
7
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
2.00

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article

MicroRNA Profiling in Papillary Thyroid Cancer

Anett Illés, Bernadett Balla, Bálint Tóbiás, Ildikó Illyés et al.
7 citations
International Journal of Molecular Sciences
MicroRNA in disease regulation
2.00
article

MicroRNA Profiling in Papillary Thyroid Cancer

Anett Illés, Bernadett Balla, Bálint Tóbiás, Ildikó Illyés, Balázs Lengyel, Zsuzsanna Putz, Márton Papp, András Kiss, István Takács, Erika Tóth, Balázs Szili, Henriett Pikó, Richard Armos, Bence Bojtor, Peter Lakatos, János P. Kósa
article en
7 citations

Abstract

Genetic alterations are well known to be related to the pathogenesis and prognosis of papillary thyroid carcinoma (PTC). Some miRNA expression dysregulations have previously been described in the context of cancer development including thyroid carcinoma. In our study, we performed original molecular diagnostics on tissue samples related to our own patients. We aimed to identify all dysregulated miRNAs in potential association with PTC development via sequencing much higher numbers of control-matched PTC tissue samples and analyzing a wider variety of miRNA types than previous studies. We analyzed the expression levels of 2656 different human miRNAs in the context of 236 thyroid tissue samples (118 tumor and control pairs) related to anonymized PTC cases. Also, KEGG pathway enrichment analysis and GO framework analysis were used to establish the links between miRNA dysregulation and certain biological processes, pathways of signaling, molecular functions, and cellular components. A total of 30 significant differential miRNA expressions with at least ±1 log<sub>2</sub> fold change were found related to PTC including, e.g., miR-551b, miR-146b, miR-221, miR-222, and miR-375, among others, being highly upregulated, as well as miR-873 and miR-204 being downregulated. In addition, we identified miRNA patterns in vast databases (KEGG and GO) closely similar to that of PTC including, e.g., miRNA patterns of prostate cancer, HTLV infection, HIF-1 signaling, cellular responses to growth factor stimulus and organic substance, and negative regulation of gene expression. We also found 352 potential associations between certain miRNA expressions and states of clinicopathological variables. Our findings-supported by the largest case number of original matched-control PTC-miRNA relation research-suggest a distinct miRNA expression profile in PTC that could contribute to a deeper understanding of the underlying molecular mechanisms promoting the pathogenesis of the disease. Moreover, significant miRNA expression deviations and their signaling pathways in PTC presented in our study may serve as potential biomarkers for PTC diagnosis and prognosis or even therapeutic targets in the future.

International Journal of Molecular SciencesVol. 25(17)
Semmelweis University (HU), National Institute of Oncology (HU), University of Veterinary Medicine (HU)
Hungarian Scientific Research Fund, Innovációs és Technológiai Minisztérium, National Research, Development and Innovation Office
Good health and well-being
Openalex Percentile: Top 13%
MicroRNA in disease regulation
2.00
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