Evaluating the association of rs6983267 polymorphism of the CCAT2 gene with thyroid cancer susceptibility in the Iranian Azeri population

Document Type : Original article

Authors

1 Department of Cellular and Molecular Biology, Faculty of Basic Sciences, Azarbaijan Shahid Madani University, Tabriz, Iran

2 Department of Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran

Abstract

Thyroid cancer is the most common malignancy of the endocrine system. LncRNAs play critical role in various cellular processes and are associated with several diseases. CCAT2 is a lncRNA molecule overexpressed in thyroid cancer. Single nucleotide polymorphisms in CCAT2 gene can cause changes in the structure and function of CCAT2 transcripts and susceptibility to several diseases. This study aimed to evaluate the association of rs6983267 in CCAT2 gene with thyroid cancer susceptibility in the Azeri population of Iran. In this "case-control" study, genomic DNA was extracted from peripheral blood of 102 individuals affected by thyroid cancer and 103 healthy individuals as controls. Genotyping was performed using TETRA-ARMS polymerase chain reaction. Statistical analysis showed no significant association between genotypes and/or alleles with the occurrence of thyroid cancer in the studied population, patients' gender, and tumor type. Nevertheless, we found that the allelic and genotypic distribution of this SNP was associated with the size of thyroid tumors in patients. It is assumed that investigating more individuals from both case and control group may further determine the genotypic and allelic frequencies of this SNP locus in Iranian-Azeri population.

Keywords

References

  1. Grimm D. Recent Advances in Thyroid Cancer Research. Int J Mol Sci 2022;23:4631.
  2. Fallahi P, Ferrari SM, Galdiero MR, Varricchi G, Elia G, Ragusa F, Paparo SR, Benvenga S, Antonelli A. Molecular targets of tyrosine kinase inhibitors in thyroid cancer. Semin Cancer Biol 2022;79:180-196.
  3. Sui F, Ji M, Hou P. Long non-coding RNAs in thyroid cancer: Biological functions and clinical significance. Mol Cell Endocrinol 2018;469:11-22.
  4. Shah MY, Ferracin M, Pileczki V, Chen B, Redis R, Fabris L, Zhang X, Ivan C, Shimizu M, Rodriguez-Aguayo C, Dragomir M, Van Roosbroeck K, Almeida MI, Ciccone M, Nedelcu D, Cortez MA, Manshouri T, Calin S, Muftuoglu M, Banerjee PP, Badiwi MH, Parker-Thornburg J, Multani A, Welsh JW, Estecio MR, Ling H, Tomuleasa C, Dima D, Yang H, Alvarez H, You MJ, Radovich M, Shpall E, Fabbri M, Rezvani K, Girnita L, Berindan-Neagoe I, Maitra A, Verstovsek S, Fodde R, Bueso-Ramos C, Gagea M, Manero GG, Calin GA. Cancer-associated rs6983267 SNP and its accompanying long noncoding RNA CCAT2 induce myeloid malignancies via unique SNP-specific RNA mutations. Genome Res 2018;28:432-447.
  5. Deng N, Zhou H, Fan H, Yuan Y. Single nucleotide polymorphisms and cancer susceptibility. Oncotarget 2017;8:110635-110649.
  6. Poo DC, Cai S, Mah JT. UASIS: Universal Automatic SNP Identification System. BMC Genom 2011;12 Suppl 3:S9.
  7. Vallejos-Vidal E, Reyes-Cerpa S, Rivas-Pardo JA, Maisey K, Yáñez JM, Valenzuela H, Cea PA, Castro-Fernandez V, Tort L, Sandino AM, Imarai M, Reyes-López FE. Single-nucleotide polymorphisms (SNP) mining and their effect on the tridimensional protein structure prediction in a set of immunity-related expressed sequence Ttags (EST) in Atlantic Salmon (Salmo salar). Front Genet 2019;10:1406.
  8. Perenthaler E, Yousefi S, Niggl E, Barakat TS. Beyond the Exome: The mon-coding genome and enhancers in neurodevelopmental disorders and malformations of cortical development. Front Cell Neurosci 2019;13:352.
  9. Aznaourova M, Schmerer N, Schmeck B, Schulte LN. Disease-causing mutations and rearrangements in long non-coding RNA gene loci. Front Genet 2020;11:527484.
  10. Peng X, Zhang K, Ma L, Xu J, Chang W. The role of long non-coding RNAs in thyroid cancer. Front Oncol 2020;10:941.
  11. Zhang H, Chen Z, Wang X, Huang Z, He Z, Chen Y. Long non-coding RNA: a new player in cancer. J Hematol Oncol 2013;6:37.
  12. Le P, Romano G, Nana-Sinkam P, Acunzo M. Non-coding RNAs in cancer diagnosis and therapy: Focus on lung cancer. Cancers (Basel) 2021;13:1372.
  13. Suvanto M, Beesley J, Blomqvist C, Chenevix-Trench G, Khan S, Nevanlinna H. SNPs in lncRNA regions and breast cancer risk. Front Genet 2020;11:550.
  14. Murugan AK, Munirajan AK, Alzahrani AS. Long noncoding RNAs: emerging players in thyroid cancer pathogenesis. Endocr Relat Cancer 2018;25:59-82.
  15. Fu W, Wang XD, Ye JD, Jin J, Chen L, Qi QY. CCAT2 contributes to progression and treatment resistance of thyroid carcinoma. Eur Rev Med Pharmacol Sci 2020;24:12224-12231.
  16. Xin S, Ye X. Knockdown of long non‑coding RNA CCAT2 suppresses the progression of thyroid cancer by inhibiting the Wnt/β‑catenin pathway. Int J Mol Med 2020;46:2047-2056.
  17. Pirlog R, Drula R, Nutu A, Calin GA, Berindan-Neagoe I. The roles of the colon cancer associated transcript 2 (CCAT2) long non-coding RNA in cancer: A comprehensive characterization of the tumorigenic and molecular functions. Int J Mol Sci 2021;22:12491.
  18. Li H, Guo J, Cheng G, Wei Y, Liu S, Qi Y, Wang G, Xiao R, Qi W, Qiu W. Identification and validation of SNP-containing genes with prognostic value in gastric cancer via integrated bioinformatics analysis. Front Oncol 2021;11:564296.
  19. Srinivasan S, Clements JA, Batra J. Single nucleotide polymorphisms in clinics: Fantasy or reality for cancer?. Crit Rev Clin Lab Sci 2016;53:29-39.
  20. Gao C, Zhuang J, Zhou C, Li H, Liu C, Liu L, Feng F, Liu R, Sun C. SNP mutation-related genes in breast cancer for monitoring and prognosis of patients: A study based on the TCGA database. Cancer Med 2019;8:2303-2312.
  21. Li X, Bai F, Wei X, Jin T, Li C, Zhang Y, Lin M, Zhou X, Xie Y, He C, Lin Q, He P, Chu S, Ding Y. Genome-wide association study of serum tumor markers in Southern Chinese Han population. BMC Cancer 2022;22:160.
  22. Li J, Wang X, Dong J. Association of rs6983267 polymorphism and thyroid cancer susceptibility: A systematic review and meta-analysis. Med Sci Monit 2016;22:1866-1871.

Files

Share

How to cite

Statistics