A Polymorphism (rs1801018, Thr7Thr) of BCL2 is Associated with Papillary Thyroid Cancer in Korean Population

BCL2 and hsa-miR-181a-5p are potential biomarkers associated with papillary thyroid cancer based on bioinformatics analysis

Background

The morbidity of thyroid carcinoma has been rising worldwide and increasing faster than any other cancer type. The most common subtype with the best prognosis is papillary thyroid cancer (PTC); however, the exact molecular pathogenesis of PTC is still not completely understood.

Methods

In the current study, 3 gene expression datasets (GSE3678, GSE3467, and GSE33630) and 2 miRNA expression datasets (GSE113629 and GSE73182) of PTC were selected from the Gene Expression Omnibus (GEO) database and were further used to identify differentially expressed genes (DEGs) and deregulated miRNAs between normal thyroid tissue samples and PTC samples. Then, Gene Ontology (GO) and pathway enrichment analyses were conducted, and a protein-protein interaction (PPI) network was constructed to explore the potential mechanism of PTC carcinogenesis. The hub gene detection was performed using the CentiScaPe v2.0 plugin, and significant modules were discovered using the MCODE plugin for Cytoscape. In addition, a miRNA-gene regulatory network in PTC was constructed using common deregulated miRNAs and DEGs.

Results

A total of 263 common DEGs and 12 common deregulated miRNAs were identified. Then, 6 significant KEGG pathways (P < 0.05) and 82 significant GO terms were found to be enriched, indicating that PTC was closely related to amino acid metabolism, development, immune system, and endocrine system. In addition, by constructing a PPI network and miRNA-gene regulatory network, we found that hsa-miR-181a-5p regulated the most DEGs, while BCL2 was targeted by the most miRNAs.

Conclusions

The results of this study suggested that hsa-miR-181a-5p and BCL2 and their regulatory networks may play important roles in the pathogenesis of PTC.

Genetic polymorphisms of Bcl-2 promoter in cancer susceptibility and prognosis: a meta-analysis

Bcl-2 is critical for tumorigenesis. However, previous studies on the association of Bcl-2 promoter polymorphisms with predisposition to different cancer types are somewhat contradictory. Therefore, we performed this meta-analysis regarding the relationship between Bcl-2 promoter single nucleotide polymorphisms (SNPs) and cancer susceptibility and prognosis. Up to August 2016, 32 original publications were identified covering two Bcl-2 promoter SNPs (rs2279115 and rs1801018). Our results showed statistically significant association between rs2279115 and cancer susceptibility and prognosis in all four genetic models but not in rs1801018. Subgroups analysis indicated that rs2279115 was associated with a significantly higher risk of cancer susceptibility in Asia but not in Caucasian. Furthermore, rs2279115 was associated with a significantly higher risk in digestive system cancer and endocrine system cancer but not in breast cancer, respiratory cancer and hematopoietic cancer. Simultaneously, rs2279115 was correlated with a significantly higher risk of cancer prognosis in Asia but not in Caucasian. Considering these promising results, rs2279115 may be a tumor marker for cancertherapy in Asia. Sensitivity analysis show four gene model were stable, and no publication bias was observed in all four gene model. Large sample size, different ethnic population and different cancer type are warranted to validate this association.

Impact of BCL2 polymorphisms on survival in transitional cell carcinoma of the bladder

PURPOSE

To evaluate the impact of three BCL2 single-nucleotide polymorphisms, i.e., c.-938C>A (rs2279115), c.21G>A (rs1801018), and c.*2203A>G (rs4987853) on survival in patients with transitional cell carcinoma of the bladder.

METHODS

We analyzed 179 patients who underwent surgical treatment for bladder cancer at the Clinic of Urology, University Hospital Essen, Germany. Genomic DNA was extracted and genotyped for the polymorphisms. For all polymorphisms, linkage analysis was performed. Kaplan-Meier and Cox regression analyses were used to determine the putative impact of the three polymorphisms on outcome.

RESULTS

c.-938C>A and c.21G>A, but not c.*2203A>G, are in strong linkage disequilibrium (D' 0.96). We found a significant association between c.-938C>A and relapse-free survival (p = 0.024) with an allele dose effect. In the same way, c.21G>A had a significant impact on both relapse-free survival (p = 0.009) and progression-free survival (p = 0.012), as well as a pronounced allele dose effect. Regression analysis proved c.21G>A and c.-938C>A, to be an independent risk factor in univariate and multivariable analyses.

CONCLUSIONS

In our cohort, both c.-938C>A and c.21G>A showed a significant impact on outcome with TCC of the bladder. Due to the linkage disequilibrium of both SNPs, maybe, only one of them could mediate this effect. In multivariable analysis, however, both proved to be independently associated with overall survival. Contrary to other findings which found the c.-938C>A mainly influencing outcome, our data may suggest that the main effect on TCC could be due to the c.21G>A polymorphism.

Expression profile of biomarkers altered in papillary and anaplastic thyroid carcinoma: Contribution of Tunisian patients

AIMS

The objective of this study was to compare the protein expression profile between well-differentiated (papillary) and undifferentiated (anaplastic) thyroid carcinoma in Tunisian patients.

METHODS

This first Tunisian retrospective study concerned data of 38 thyroid cancer cases (19 papillary carcinoma PTC and 19 anaplastic carcinoma ATC) collected at Salah Azaiez Institute of Tunisia. Immunohistochemistry was used to evaluate tumor expression of different molecular markers (p53, Ki67, E-cadherin, cyclin D1, bcl2, S100 and Her-2). The molecular expression was correlated with the clinicopathological characteristics of the tumors.

RESULTS

There were 6 differentially expressed markers when comparing anaplastic thyroid carcinoma ATC with papillary thyroid carcinoma PTC. Expression of p53 and Ki67 were significantly increased in 16 and 18 ATC cases respectively, the Ki67 expression was lost in PTC. Cyclin D1, E-cadherin, bcl2 and S100 were overexpressed in PTC tumors; however, they were significantly decreased in ATC. The last marker, Her-2 was expressed in one case of PTC only.

CONCLUSION

Our results, similar with findings of other ethnic groups, showed alteration in expression of molecular markers associated with tumor dedifferentiation, indicating loss of cell cycle control with increased proliferative activity in ATC carcinoma. These data support the hypothesis that ATC may derive from dedifferentiation of preexisting PTC tumor.

A Comprehensive Meta-analysis of Case-Control Association Studies to Evaluate Polymorphisms Associated with the Risk of Differentiated Thyroid Carcinoma

BACKGROUND

Linkage analyses and association studies suggested that inherited genetic variations play a role in the development of differentiated thyroid carcinoma (DTC).

METHODS

We combined the results from a genome-wide association study (GWAS) performed by our group and from published studies on DTC. With a first approach, we evaluated whether a SNP published as associated with the risk of DTC could replicate in our GWAS (using FDR as adjustment for multiple comparisons). With the second approach, meta-analyses were performed between literature and GWAS when both sources suggested an association, increasing the statistical power of the analysis.

RESULTS

rs1799814 (CYP1A1), rs1121980 (FTO), and 3 SNPs within 9q22 (rs965513, rs7048394, and rs894673) replicated the associations described in the literature. In addition, the meta-analyses between literature and GWAS revealed 10 more SNPs within 9q22, six within FTO, two within SOD1, and single variations within HUS1, WDR3, UGT2B7, ALOX12, TICAM1, ATG16L1, HDAC4, PIK3CA, SULF1, IL11RA, VEGFA, and 1p31.3, 2q35, 8p12, and 14q13.

CONCLUSION

This analysis confirmed several published risk loci that could be involved in DTC predisposition.

IMPACT

These findings provide evidence for the role of germline variants in DTC etiology and are consistent with a polygenic model of the disease. Cancer Epidemiol Biomarkers Prev; 25(4); 700-13. ©2016 AACR.

Identification of new biomarkers for human papillary thyroid carcinoma employing NanoString analysis

We previously reported an upregulation of the clock transcript BMAL1, correlating with TIMP1 expression in fresh-frozen samples from papillary thyroid carcinoma (PTC). Since frozen postoperative biopsy samples are difficult to obtain, we aimed to validate the application of high-precision NanoString analysis for formalin-fixed paraffin-embedded (FFPE) thyroid nodule samples and to screen for potential biomarkers associated with PTC. No significant differences were detected between fresh-frozen and FFPE samples. NanoString analysis of 51 transcripts in 17 PTC and 17 benign nodule samples obtained from different donors and in 24 pairs of benign and PTC nodules, obtained from the same donor (multinodular goiters), confirmed significant alterations in the levels of BMAL1, c-MET, c-KIT, TIMP1, and other transcripts. Moreover, we identified for the first time alterations in CHEK1 and BCL2 levels in PTC. A predictive score was established for each sample, based on the combined expression levels of BMAL1, CHEK1, c-MET, c-KIT and TIMP1. In combination with BRAF mutation analysis, this predictive score closely correlated with the clinicopathological characteristics of the analyzed thyroid nodules. Our study identified new thyroid transcripts with altered levels in PTC using the NanoString approach. A predictive score correlation coefficient might contribute to improve the preoperative diagnosis of thyroid nodules.

Identification of thyroid carcinoma related genes with mRMR and shortest path approaches

Thyroid cancer is a malignant neoplasm originated from thyroid cells. It can be classified into papillary carcinomas (PTCs) and anaplastic carcinomas (ATCs). Although ATCs are in an very aggressive status and cause more death than PTCs, their difference is poorly understood at molecular level. In this study, we focus on the transcriptome difference among PTCs, ATCs and normal tissue from a published dataset including 45 normal tissues, 49 PTCs and 11 ATCs, by applying a machine learning method, maximum relevance minimum redundancy, and identified 9 genes (BCL2, MRPS31, ID4, RASAL2, DLG2, MY01B, ZBTB5, PRKCQ and PPP6C) and 1 miscRNA (miscellaneous RNA, LOC646736) as important candidates involved in the progression of thyroid cancer. We further identified the protein-protein interaction (PPI) sub network from the shortest paths among the 9 genes in a PPI network constructed based on STRING database. Our results may provide insights to the molecular mechanism of the progression of thyroid cancer.

B-cell Lymphoma 2 rs17757541 C>G polymorphism was associated with an increased risk of gastric cardiac adenocarcinoma in a Chinese population

AIM

Apoptosis has been considered as a fundamental component in cancer pathogenesis, and related genetic factors might play an important role in gastric cardiac adenocarcinoma (GCA) genesis.

METHODS

We conducted a hospital based case-control study to evaluate the genetic effects of functional single nucleotide polymorphisms (SNPs): BCL2 rs17757541 C>G, BCL2 rs12454712 T>C, FAS rs2234767 G>A, FASL/FASLG rs763110 C>T, ERBB2 rs1136201 A>G and VEGFR2/KDR rs11941492 C>T on the development of GCA. A total of 243 GCA cases and 476 controls were recruited for the study and genotypes were determined using a custom-by-design 48-Plex SNPscanTM Kit.

RESULTS

The BCL2 rs17757541 C>G polymorphism was associated with increased risk of GCA. However, there was no significant associations with the other five SNPs. Stratified analyses indicated a significantly increased risk of GCA associated with the BCL2 rs17757541 C>G polymorphism among males, older patients and those with a history of smoking or drinking.

CONCLUSION

These findings indicated that the functional polymorphism BCL2 rs17757541 C>G might contribute to GCA susceptibility. However, our results were limited by small sample size. Future larger studies are required to confirm our current findings.

Interleukin 22 polymorphisms and papillary thyroid cancer

BACKGROUND

IL22RA1 (Interleukin 22 receptor-alpha 1), a member of the class II cytokine receptor family, mediates diverse biologic activities and appears to be important in pathogen defense, wound healing, and tissue reorganization. Polymorphisms in genes encoding inflammatory cytokines are associated with increased cancer risk.

AIM

The aim of this study was to evaluate the association between the single nucleotide polymorphisms (SNP) in the IL22 and IL22RA1 and papillary thyroid cancer (PTC), and to assess the relationship between the SNP in the IL22 and IL22RA1 and the clinical parameters of PTC.

MATERIAL AND METHODS

Study enrolled experimental group of 94 PTC patients and 213 controls. PTC patients were grouped and compared for clinical PTC parameters. One promoter SNP of IL22, -429C/T (rs2227485), and one SNP of IL22RA1, Arg518Gly (rs3795299) were analyzed using direct sequencing. Genetic data were analyzed using Helixtree, SNPAnalyzer Pro, SNPStats, and Haploview.

RESULTS

A SNP in IL22 (rs2227485) was significantly associated with PTC (codominant2 model [C/C vs T/T], odds ratio (OR) 2.39, 95% confidence interval (CI) 1.21-4.71, p=0.012; dominant model, OR 1.89, 95% CI 1.08-3.31, p=0.022). The allele T frequency of rs2227485 in IL22 was also associated with PTC (OR 1.59, 95% CI 1.13-2.25, p=0.009). According to clinical parameters, rs2227485 of IL22 was associated with number of cancers (dominant model, OR 3.03, 95% CI 1.02-9.01, p=0.035). By haplotype analysis, TG was associated with PTC (codominant model, OR 1.52, 95% CI 1.07-2.16, p=0.019; dominant model, OR 1.91, 95% CI 1.13- 3.24, p=0.015). Genotype and allele analysis of rs3795299 in IL22RA1 showed no significant differences between PTC patients and controls.

CONCLUSION

The rs2227485 SNP in IL22 might be associated with the risk and the multifocality of PTC.

Key genes and pathways in thyroid cancer based on gene set enrichment analysis

The incidence of thyroid cancer and its associated morbidity has shown the most rapid increase among all cancers since 1982, but the mechanisms involved in thyroid cancer, particularly significant key genes induced in thyroid cancer, remain undefined. In many studies, gene probes have been used to search for key genes involved in causing and facilitating thyroid cancer. As a result, many possible virulence genes and pathways have been identified. However, these studies lack a case contrast for selecting the most possible virulence genes and pathways, as well as conclusive results with which to clarify the mechanisms of cancer development. In the present study, we used gene set enrichment and meta-analysis to select key genes and pathways. Based on gene set enrichment, we identified 5 downregulated and 4 upregulated mixed pathways in 6 tissue datasets. Based on the meta-analysis, there were 17 common pathways in the tissue datasets. One pathway, the p53 signaling pathway, which includes 13 genes, was identified by both the gene set enrichment analysis and meta-analysis. Genes are important elements that form key pathways. These pathways can induce the development of thyroid cancer later in life. The key pathways and genes identified in the present study can be used in the next stage of research, which will involve gene elimination and other methods of experimentation.

Interleukin-1 beta polymorphisms are associated with lymph node metastasis in Korean patients with papillary thyroid carcinoma

In this study, we investigated whether single nucleotide polymorphisms (SNPs) of the interleukin-1 beta (IL-1B) were associated with papillary thyroid carcinoma (PTC). We also assessed the relationships between IL-1B SNPs and the clinicopathologic characteristics of PTC patients. Ninety-three PTC patients and 324 controls were recruited. The patients with PTC were dichotomized and compared with respect to the clinicopathologic characteristics of PTC. Seven SNPs in the IL-1B gene were selected and genotyped using direct sequencing. Four SNPs (rs1143627, rs3136558, rs1143633, and rs1143643) in the IL-1B gene were significantly associated with PTC (p < 0.05). In clinicopathologic features, 3 SNPs (rs1143630, rs1143633, and rs1143643) showed a strong relationship with lymph node metastasis of PTC. The genotype and allele frequencies of rs1143630 and rs1143643 remained significantly associated with lymph node metastasis after Bonferroni correction for multiple testing. In haplotype analysis, two linkage disequilibrium blocks (block 1 consisted of rs1143627, rs3917356, and rs1143630; block 2 consisted of rs1143633 and rs1143643) also revealed significant associations with lymph node metastasis. Our results suggest that IL-1B polymorphisms may be associated with the risk of PTC in the Korean population. Especially, IL-1B polymorphisms might be a predictive factor for lymph node metastasis of PTC patients.

A genetic association analysis of polymorphisms, rs2282695 and rs12373539, in the FOSB gene and papillary thyroid cancer

The FOSB gene is involved in cell proliferation, differentiation and transformation in several tumor types. We investigated whether coding single-nucleotide polymorphisms (cSNPs) and promoter SNPs of FOSB contribute to the development of papillary thyroid cancer (PTC). We also assessed the associations between FOSB SNPs and the clinicopathological characteristics of PTC. One coding SNP (rs2282695, Ala39Ala) and one promoter SNP (rs12373539, −158) in the FOSB gene were genotyped using direct sequencing in 94 PTC patients and 213 healthy controls. Genetic data were analyzed using SNPStats, HelixTree and SNPAnalyzer. PTC patients were dichotomized and compared with respect to clinicopathological characteristics of PTC. We detected an association between PTC and cSNP (rs2282695) in FOSB [codominant model 1 (C/C vs. G/C); OR=1.75; 95% CI, 1.04–2.94; P=0.024; codominant model 2 (C/C vs. G/G): OR=2.55; 95% CI, 1.15–5.64; P=0.045; dominant model: OR=1.89; 95% CI, 1.16–3.08; P=0.010; Log-additive model: OR=1.64; 95% CI, 1.15–2.35; P=0.007]. The G allele was a risk allele in the geno-type and allele analyses of cSNP (rs2282695) in the FOSB gene (OR=1.57; 95% CI, 1.10–2.24; P=0.012). A promoter SNP (rs12373539) in FOSB was associated with cervical lymph node metastasis of PTC [codominant model 1 (G/G vs. A/G): OR=0.23; 95% CI, 0.07–0.72; P=0.016; codominant model 2 (G/G vs. A/A): OR=0.21; 95% CI, 0.02–1.96; P=0.0.05; dominant model: OR=0.22; 95% CI, 0.08–0.66; P=0.004; overdominant model: OR=0.27; 95% CI, 0.09–0.84; P=0.02; log-additive model: OR=0.31; 95% CI, 0.12–0.78; P=0.006]. The A allele was a protective allele in the genotype and allele analyses of SNP (rs12373539) in the FOSB gene promoter (OR=0.34; 95% CI, 0.14–0.83; P=0.017). Variation in a FOSB cSNP (rs2282695) may be associated with risk of PTC. The FOSB promoter SNP (rs12373539) may be associated with lymph node metastasis of PTC.