Associations between RET tagSNPs and their haplotypes and susceptibility, clinical severity, and thyroid function in patients with differentiated thyroid cancer

The Role of Genetic Polymorphisms in Differentiated Thyroid Cancer: A 2023 Update

Thyroid cancer is the most common endocrine malignancy, with an increasing trend in the past decades. It has a variety of different histological subtypes, the most frequent one being differentiated thyroid cancer, which refers to papillary carcinoma, the most common histological type, followed by follicular carcinoma. Associations between genetic polymorphisms and thyroid cancer have been investigated over the years and are an intriguing topic for the scientific world. To date, the results of associations of single nucleotide polymorphisms, the most common genetic variations in the genome, with thyroid cancer have been inconsistent, but many promising results could potentially influence future research toward developing new targeted therapies and new prognostic biomarkers, thus consolidating a more personalized management for these patients. This review focuses on emphasizing the existing literature data regarding genetic polymorphisms investigated for their potential association with differentiated thyroid cancer and highlights the opportunity of using genetic variations as biomarkers of diagnosis and prognosis for thyroid cancer patients.

Discrepancies of RET gene and risk of differentiated thyroid carcinoma

BACKGROUND

Somatic variations in rearranged during transfection (RET) proto-oncogene acts to influence Thyroid cancer (TC) in a low penetrance manner, but their effects tend to vary between different populations.

OBJECTIVE

This case-control study was aimed to evaluate effect of RET G691S, S904S and L769L single nucleotide polymorphisms (SNPs) on the risk for differentiated thyroid carcinoma (DTC).

METHODS

A total of 180 patients and 220 controls were genotyped by Polymerase chain reaction - restriction fragment length polymorphism (PCR-RFLP). Di-Deoxy Sanger sequencing was performed on 100 samples with variations and 20 wild samples for each amplified exon. In addition, In Silico tools were used to evaluate structural and functional impact of individual SNPs in disease progression.

RESULTS

In RET G691S/L769L/S904S SNPs, frequency of variant genotypes in DTC cases was 61.1%, 54.4% and 76.6% as compared to 45.9%, 43.6% and 89.09% in controls respectively (P⩽ 0.05). In Silico analysis revealed that different protein formed due to G691S substitution decreases the stability of 3D structure of protein. The RET G691S and L769L SNP followed "Dominant" but RET S904S SNP confirmed an "Additive" mode of inheritance.

CONCLUSION

RET G691S/L769L/S904S SNPs are significantly associated with DTC with G691S SNP declining the stability of final protein product.

Associations between lncRNA-related polymorphisms and hepatocellular carcinoma risk: A two-stage case-control study

BACKGROUND AND AIM

Single-nucleotide polymorphisms (SNPs) in long non-coding RNAs (lncRNAs) are potential biomarkers for cancer risk, but their association with hepatocellular carcinoma (HCC) is unclear. We examined the association of lncRNA-related SNPs with HCC susceptibility and explored the optimal genetic models for SNPs.

METHODS

Five candidate SNPs linked with digestive tumors were first genotyped in a screening population of 700 HCC and 2800 control cases. The association between each SNP and HCC risk was estimated by multivariate logistic regression adjusted by sex and age and recorded as odds ratio (OR) with 95% confidence interval. Significant associations were further tested in a validation population with 1140 HCC and 5115 control cases. Finally, the most appropriate genetic models for HCC-associated SNPs were identified using pairwise allele differences; the overall gene effects of each SNP were further evaluated based on optimal genetic models.

RESULTS

Three candidate SNPs, rs7315438, rs6983267, and rs10795668, showed statistical connections with HCC risk in the discovery stage. Among these, rs7315438 remained steadily significant in the validation stage; rs7315438 and rs10795668 both reached statistical threshold in the combined analysis of both stages. SNP rs7315438 (TC vs TT/CC, OR = 1.410, P < 0.001) was associated with increased risk of HCC in a complete overdominant model, whereas rs10795668 (AG vs AA/GG, OR = 0.892, P = 0.035) exerted a protective effect on HCC risk in a complete overdominant model.

CONCLUSIONS

Long non-coding RNA-related SNPs rs7315438 and rs10795668 are potential biomarkers for HCC susceptibility, especially when evaluated based on their optimal genetic models.