Association of single nucleotide polymorphisms in cell cycle regulatory genes with oral cancer susceptibility

Cell Cycle Regulatory CCND1 G870A Gene Polymorphism and Periodontitis-Induced Oral Cancer: A Risk Analysis

Strong association has been recently observed between periodontitis/gingivitis and Oral squamous cell carcinoma (OSCC). A high incidence of oral cancer has been reported in the case of chronic periodontitis. Recently Cell cycle regulatory /Senescence genes have been associated with Gingivitis/ Periodontitis susceptibility. Cyclin D1 is one such cell cycle regulatory gene. Several findings have reported that Cyclin D1 (CCND1) G870A Single nucleotide polymorphism is associated with oral cancer (OC) risk, but yielded inconsistent data across different studies. This meta-analysis explores the precise relationship between CCND1 G870A polymorphism and OC risk. PubMed (Medline), EMBASE, & Google Scholar databases were searched for eligible studies and pooled odds ratios (ORs) and 95% confidence intervals (CI) were calculated. Newcastle-Ottawa analysis was done for selected articles quality assessment, bias in publication (if any) was estimated through Funnel plots and Egger’s test. Pooled analysis from eleven eligible studies suggests that CCND1 G870A polymorphism is not significantly associated with OC risk. Sub-group analysis by ethnicity failed to show any association. Sequential single study omission was performed to determine the credibility and resilience of the inferences drawn.

Cyclin H predicts the poor prognosis and promotes the proliferation of ovarian cancer

Background

Cell cycle dysregulation plays a key role in the pathogenesis of malignant tumors. As a part of the CDK-activating kinase (CAK) trimeric complex, cyclin H is necessary to regulate the cell cycle and proliferation. This investigation aims to characterize the clinical significance and the biological functions of cyclin H in ovarian cancer.

Methods

Immunohistochemical staining was performed on 60 ovarian cancer cases, and a correlation between cyclin H expression and the clinical characteristics of ovarian cancer was analyzed. The function of cyclin H in ovarian cancer was further explored using HO8910 cells and a subcutaneous xenograft model of nude mice.

Result

Cyclin H was slightly expressed in grade 1 ovarian cancer but highly expressed in grade 2 and grade 3 cancerous tissues. The Spearman's rank correlation analysis showed that the expression of cyclin H is positively correlated with the tumor grade, the FIGO stage, histological grade, and the peritoneal metastasis of ovarian cancer and is also positively correlated with the Ki67 and p-CDK2 in ovarian cancer. Additionally, we found that the five-year survival rate was higher in patients expressing low cyclin H than those expressing high cyclin H. Further, knockdown of cyclin H was achieved using an shRNA in HO8910 ovarian cancer cell line. Silencing cyclin H resulted in a G1/S cell cycle arrest in ovarian cancer cells suppressing its growth. The Ki67 expression was also decreased in cyclin H silenced ovarian cancer.

Conclusion

These results suggest that high expression of cyclin H predicts the poor prognosis and promotes the growth of ovarian cancer by regulating the cell cycle.

Identification of co‑expression modules and hub genes of retinoblastoma via co‑expression analysis and protein‑protein interaction networks

Retinoblastoma is a common intraocular malignant tumor in children. However, the molecular and genetic mechanisms of retinoblastoma remain unclear. The gene expression dataset GSE110811 was retrieved from Gene Expression Omnibus. After preprocessing, coexpression modules were constructed by weighted gene coexpression network analysis (WGCNA), and modules associated with clinical traits were identified. In addition, functional enrichment analysis was performed for genes in the indicated modules, and protein-protein interaction (PPI) networks and subnetworks were constructed based on these genes. Eight coexpression modules were constructed through WGCNA. Of these, the yellow module had the highest association with severity and age (r=0.82 and P=3e-07; r=0.72 and P=3e-05). The turquoise module had the highest association with months (r=−0.63 and P=5e-04). The genes in the two modules participate in multiple pathways of retinoblastoma, and by combining the PPI network and subnetworks; 10 hub genes were identified in the two modules. The present study identified coexpression modules and hub genes associated with clinical traits of retinoblastoma, providing novel insight into retinoblastoma progression.

Single nucleotide polymorphisms in transcription factor genes associated with susceptibility to oral cancer

Oral cancer is a major public health concern in the Asian countries predominated by India which accounts for 33.81% of the annual global oral cancer burden. The well-established high-risk factors associated with oral cancer include tobacco, areca nut, alcohol consumption, and high-risk human papilloma virus types 16/18. Additionally, in the past two decades, the critical role of the genomic constitution of individuals in oral cancer susceptibility has emerged. Accumulating evidence indicates the association of several single nucleotide polymorphisms (SNPs) with oral cancer risk. Thus in the current study, we assessed the association of thirteen SNPs in seven transcription factor genes along with HBB (a control SNP) to identify high-risk genotypes associated with increased oral cancer risk in an Indian cohort of tobacco habitués. Fourteen SNPs were investigated in 500 patients with oral cancer and 500 clinically healthy long-term tobacco users as controls of Indian ethnicity. Allelic discrimination real-time polymerase chain reaction was the method of choice for genotyping the samples. Logistic regression analysis was performed and the association of SNPs with oral cancer risk was estimated using odds ratio (OR) and 95% confidence interval (CI). We observed five SNPs-rs2051526 (ETV6), rs6021247 (NFATC2), rs3757769 (SND1), rs7085532 (TCF7L2), and rs7778413 (SND1) indicating increased oral cancer risk with OR ranging from 1.61 to 34.60. Further, as a proof of concept, the coinheritance of high-risk genotypes in rs6021247 (NFATC2) GG (OR, 2.77; CI, 2.09-3.69) and rs7778413 (SND1) CC (OR, 34.60; CI, 17.32-69.13) reflected further increase in the risk with OR-49.94 (CI, 16.25-153.48). The present study indicates the association of transcription factor SNPs with increased oral cancer risk constituting "predictive biomarkers" in oral cancers.

Genetic polymorphisms in cyclin H gene are associated with oxaliplatin-induced acute peripheral neuropathy in South Indian digestive tract cancer patients

PURPOSE

Digestive tract cancer patients treated with oxaliplatin are often associated with the development of peripheral neuropathy. The aim of the present study is to identify the influence of single-nucleotide polymorphisms (SNPs) in genes involved in oxaliplatin metabolism, cell cycle control, detoxification or excretion pathways with the development of oxaliplatin-induced acute peripheral neuropathy (acute OXAIPN) and its severity among digestive tract cancer patients treated with oxaliplatin-based chemotherapy.

PATIENTS AND METHODS

A total of 228 digestive tract cancer patients undergoing with the oxaliplatin-based chemotherapy between November 2014 and December 2016 were included in the current study. Genomic DNA was extracted from peripheral blood by standard phenol-chloroform method. Genotyping of five SNPs in four genes [GSTP₁ (rs1965), ABCG2 (rs3114018), CCNH (rs2230641, rs3093816), AGXT (rs4426527)] was carried out by Real-Time TaqMan SNP genotyping assay.

RESULTS

We found that the two genetic variants rs2230641 and rs3093816 in cyclin H (CCNH) gene were significantly associated with both the incidence and severity of acute OXAIPN. For CCNH-rs2230641 (AA vs AG+GG; dominant model) Incidence: OR 2.62, 95% CI 1.44-4.75, p = 0.001, severity; OR 4.64, 95% CI 1.58-13.62, p = 0.002. For CCNH-rs3093816 (AA vs AG+GG; dominant model); incidence: OR 3.43, 95% CI 1.57-7.50, p = 0.001; severity: OR 2.36, 95% CI 1.05-5.30, p = 0.033.

CONCLUSIONS

The results of the present study found significant association between CCNH polymorphisms and acute OXAIPN development. However, further studies are warranted from independent groups to validate our study results.

p27-V109G Polymorphism Is Not Associated with the Risk of Prostate Cancer: A Case-Control Study of Han Chinese Men in Central China

Objective

We conducted an update meta-analysis aiming to verify the association between p27-V109G polymorphism and cancer risk, particular for prostate cancer (PCa). Then, we conducted a case-control study of Han Chinese in central China to verify the evidence-based results.

Methods

Relevant studies were collected from diverse databases up to March 2017. In addition, a hospital-based (H-B) case-control study enrolling 90 PCa patients and 140 healthy controls was included to verify these evidence-based findings. Genetic risk was calculated by odds ratio (OR) with its corresponding 95% confidence interval (CI). The p27-V109G polymorphism was determined by MassARRAY genotyping method.

Results

Finally, twenty-four published studies comprising 9627 cases and 12,102 controls were enrolled for the current meta-analysis. Overall analysis suggested that p27-V109G polymorphism decreased overall cancer risk in allelic contrast, heterozygote, and dominant models. When stratified analysis was conducted by ethnicity, data revealed that p27-V109G polymorphism was associated with a decreased cancer risk in Caucasians. Highlighted in the subgroup analysis by cancer type, we uncovered a significantly decreased risk of PCa in allelic contrast, dominant, homogeneous, and recessive models. However, in the validation case-control study, we failed to uncover a positive association between p27-V109G polymorphism and PCa risk. In addition, negative results were also identified when subgroup analyses were stratified by age, tumor grade, tumor stage, PSA levels, and other measurements.

Conclusion

Although evidence-based results suggest that p27-V109G polymorphism plays a protective role in overall cancer risk, particularly for PCa, our case-control study failed to validate any association between this particular polymorphism and PCa risk.

Genotypic distribution of single nucleotide polymorphisms in oral cancer: global scene

Globocan 2012 reports the global oral cancer incidence of 300,373 new oral cancer cases annually, contributing to 2.1 % of the world cancer burden. The major well-established risk factors for oral cancer include tobacco, betel/areca nut, alcohol and high-risk oncogenic human papilloma virus (HPV) 16/18. However, only 5-10 % of individuals with high-risk lifestyle develop oral cancer. Thus, genomic variants in individuals represented as single nucleotide polymorphisms (SNPs) influence susceptibility to oral cancer. With a view to understanding the role of genomic variants in oral cancer, we reviewed SNPs in case-control studies with a minimum of 100 cases and 100 controls. PubMed and HuGE navigator search engines were used to obtain data published from 1990 to 2015, which identified 67 articles investigating the role of SNPs in oral cancer. Single publications reported 93 SNPs in 55 genes, with 34 SNPs associated with a risk of oral cancer. Meta-analysis of data in multiple studies defined nine SNPs associated with a risk of oral cancer. The genes were associated with critical functions deregulated in cancers, including cell proliferation, immune function, inflammation, transcription, DNA repair and xenobiotic metabolism.

Relationships between cell cycle pathway gene polymorphisms and risk of hepatocellular carcinoma

AIM: To investigate the associiations between the polymorphisms of cell cycle pathway genes and the risk of hepatocellular carcinoma (HCC).

METHODS: We enrolled 1127 cases newly diagnosed with HCC from the Tumor Hospital of Guangxi Medical University and 1200 non-tumor patients from the First Affiliated Hospital of Guangxi Medical University. General demographic characteristics, behavioral information, and hematological indices were collected by unified questionnaires. Genomic DNA was isolated from peripheral venous blood using Phenol-Chloroform. The genotyping was performed using the Sequenom MassARRAY iPLEX genotyping method. The association between genetic polymorphisms and risk of HCC was shown by P-value and the odd ratio (OR) with 95% confidence interval (CI) using the unconditional logistic regression after adjusting for age, sex, nationality, smoking, drinking, family history of HCC, and hepatitis B virus (HBV) infection. Moreover, stratified analysis was conducted on the basis of the status of HBV infection, smoking, and alcohol drinking.

RESULTS: The HCC risk was lower in patients with the MCM4 rs2305952 CC (OR = 0.22, 95%CI: 0.08-0.63, P = 0.01) and with the CHEK1 rs515255 TC, TT, TC/TT (OR = 0.73, 95%CI: 0.56-0.96, P = 0.02; OR = 0.67, 95%CI: 0.46-0.97, P = 0.04; OR = 0.72, 95%CI: 0.56-0.92, P = 0.01, respectively). Conversely, the HCC risk was higher in patients with the KAT2B rs17006625 GG (OR = 1.64, 95%CI: 1.01-2.64, P = 0.04). In addition, the risk was markedly lower for those who were carriers of MCM4 rs2305952 CC and were also HBsAg-positive and non-drinking and non-smoking (P < 0.05, respectively) and for those who were carriers of CHEK1 rs515255 TC, TT, TC/TT and were also HBsAg-negative and non-drinking (P < 0.05, respectively). Moreover, the risk was higher for those who were carriers of KAT2B rs17006625 GG and were also HBsAg-negative (P < 0.05).

CONCLUSION: Of 12 cell cycle pathway genes, MCM4, CHEK1 and KAT2B polymorphisms may be associated with the risk of HCC.

Association between CCNE1 polymorphisms and the risk of breast cancer in a sample of southeast Iranian population

Cyclin E1 (CCNE1) is a key proto-oncogene. The present study aimed to investigate the effects of single nucleotide polymorphisms in CCNE1 on the risk of breast cancer (BC) in an Iranian population in southeast of Iran. A total of 491 subjects including 266 BC patients and 225 healthy control women were participated in the study. Genotyping of CCNE1 rs3218073 and 72010703 polymorphisms was done using allele-specific polymerase chain reaction (AS-PCR) and rs1406 by PCR-RFLP method.Our findings showed that rs1406 C/A polymorphism increased the risk of BC in codominant (OR 1.60, 95% CI 1.05-2.43, p=0.032 CA vs CC; OR 2.35, 95% CI 1.23-4.49, p=0.011 AA vs CC) and dominant (OR 1.69, 95% CI 1.22-2.56, p=0.012 CA+AA vs CC) inheritance models. The rs1406 A allele increased the risk of BC (OR 1.37, 95% CI 1.06-1.76, p=0.019) in comparison with C allele. On the other hand, CCNE1 rs72010703 (4-bp I/D) and rs3218073 polymorphisms did not show any significant association with BC. This study indicates that CCNE1 rs1406 polymorphism may contribute to BC risk.