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Objective@#To explore the relationship between selenium and the risk for oral cancer.@*Methods@#We performed a case-control study in 325 cases of newly diagnosed primary oral cancer from the First Affiliated Hospital of Fujian Medical University and 650 controls from the same hospital and community. Unconditional logistic regression and stratification analyses were used to explore the association between selenium and oral cancer. Adjusted OR and corresponding 95%CI were calculated. The analyses on multiple interactions between selenium and smoking or drinking status, and fruit or fish intake frequencies were conducted.@*Results@#The level of serum selenium was 112.42 (80.98-145.06) μg/L in the case group, which was lower than 164.85 (144.44-188.53) μg/L in control group, the difference was statistical significant (P<0.01). There was a negative correlation between serum selenium level and the risk for oral cancer regardless of smoking and drinking status, and fruits and fish intake frequencies (P<0.05). There were multiple interactions between serum selenium level and smoking or drinking status, and fruit and fish intakes.@*Conclusions@#The high level of serum selenium is a protective factor for the incidence of oral cancer, and serum selenium has multiple interactions with smoking or drinking status, and fruit and fish intakes. Therefore, reducing tobacco use and alcohol consumption and increasing the intakes of fruit and fish can reduce the risk for oral cancer to some extent.
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Objective@#To explore the association of TBX5 polymorphisms and environmental exposure index with susceptibility to oral cancer.@*Methods@#A case-control study was conducted to collect 300 oral cancer patients hospitalized in the Department of Oral and Maxillofacial Surgery, the First Affiliated Hospital of Fujian Medical University from September 2010 to December 2016. A total of 445 non-tumor patients were selected as the control group. Questionnaires were used to collect the information of all subjects and 5 ml peripheral blood was collected to detect single nucleotide polymorphisms (SNPs) of the rs10492336 locus of TBX5 gene. According to the environmental exposure index score, subjects were divided into two groups, low risk group (0-2.31) and high risk group (2.32-11.76). To analyze the association of TBX5 gene rs10492336 SNPs, environmental exposure index and oral cancer and its interactions.@*Results@#The age of all subjects in the case group and control group were (56.19±13.10) years and (54.56±12.48) years old. Compared with CC genotype, the OR (95%CI) values of the co-dominant genetic model AC genotype and the dominant genetic model AC+AA genotype were 0.69 (0.49-0.98) and 0.70 (0.51-0.97), respectively. Compared with the low risk group, the OR (95%CI) risk of oral cancer in the high risk group was 3.72 (2.55-5.43). The results of gene-environment interaction analysis showed that compared with the group with CC genotype and high risk of environmental exposure index, the OR (95%CI) value of oral cancer in the group with AC+AA genotype and low risk of environmental exposure index was 0.18(0.10-0.31). Furthermore there was a multiplicative interaction between rs10492336 SNPs and environmental exposure index (β=-0.405, P<0.001).@*Conclusion@#This study suggests that the TBX5 gene rs10492336 SNPs and environmental exposure index were associated with oral cancer. And there was a multiplication interaction between rs10492336 SNPs and environmental exposure index.
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Objective To explore the survival factors and construct a prognostic index (PI) for oral squamous cell carcinoma (OSCC).Methods From January 2004 to June 2016,a total of 634 patients with pathologically confirmed OSCC were recruited in a hospital of Fujian.The clinical and follow-up data of all the patients with pathologically confirmed OSCC were collected to identify the factors influencing the prognosis of OSCC.All the patients were randomly divided into two groups:modeling group (modeling dataset,n =318) and validation group (validation dataset,n =316).Randomization was carried out by using computer-generated random numbers.In the modeling dataset,survival rates were calculated using Kaplan-Meier method and compared using the log-rank test.Cox regression model was used to estimate the hazard ratio (HRs) and 95％ confidence intervals (CIs) of prognosis factors.An PI for OSCC patients prognostic prediction model was developed based onβ value of each significant variable obtained from the multivariate Cox regression model.Using the tertile analysis,patients were divided into high-risk group,moderate-risk group,and low-risk group according to the PI,the Akaike information criterion (AIC) and Harrell's c-statistic (C index) were used to evaluated the model's predictability.Results Results from the multivariate Cox regression model indicated that aged ≥55 years (HR=2.22,95％ CI:1.45-3.39),poor oral hygiene (HR=2.12,95％ CI:1.27-3.54),first diagnosis of lymph node metastasis (HR=5.78,95％CI:3.60-9.27),TNM stage Ⅲ-Ⅳ (stage Ⅰ as reference) (HR=2.43,95％CI:1.10-5.37) and poor differentiation (well differentiation as reference) (HR=2.53,95％CI:1.60-4.01) were the risk factors influencing the prognosis of OSCC.The PI model had a high predictability in modeling group and validation group (AIC and C index were 1 205.80,0.700 2 and 1 150.47,0.737 3).Conclusion Age,poor oral hygiene,first diagnosis of lymph node metastasis,TNM stage and histological grade were factors associated with the prognosis of OSCC,and the PI model has a certain significance in the clinical treatment of OSCC.
ABSTRACT
Objective To explore the survival factors and construct a prognostic index (PI) for oral squamous cell carcinoma (OSCC).Methods From January 2004 to June 2016,a total of 634 patients with pathologically confirmed OSCC were recruited in a hospital of Fujian.The clinical and follow-up data of all the patients with pathologically confirmed OSCC were collected to identify the factors influencing the prognosis of OSCC.All the patients were randomly divided into two groups:modeling group (modeling dataset,n =318) and validation group (validation dataset,n =316).Randomization was carried out by using computer-generated random numbers.In the modeling dataset,survival rates were calculated using Kaplan-Meier method and compared using the log-rank test.Cox regression model was used to estimate the hazard ratio (HRs) and 95％ confidence intervals (CIs) of prognosis factors.An PI for OSCC patients prognostic prediction model was developed based onβ value of each significant variable obtained from the multivariate Cox regression model.Using the tertile analysis,patients were divided into high-risk group,moderate-risk group,and low-risk group according to the PI,the Akaike information criterion (AIC) and Harrell's c-statistic (C index) were used to evaluated the model's predictability.Results Results from the multivariate Cox regression model indicated that aged ≥55 years (HR=2.22,95％ CI:1.45-3.39),poor oral hygiene (HR=2.12,95％ CI:1.27-3.54),first diagnosis of lymph node metastasis (HR=5.78,95％CI:3.60-9.27),TNM stage Ⅲ-Ⅳ (stage Ⅰ as reference) (HR=2.43,95％CI:1.10-5.37) and poor differentiation (well differentiation as reference) (HR=2.53,95％CI:1.60-4.01) were the risk factors influencing the prognosis of OSCC.The PI model had a high predictability in modeling group and validation group (AIC and C index were 1 205.80,0.700 2 and 1 150.47,0.737 3).Conclusion Age,poor oral hygiene,first diagnosis of lymph node metastasis,TNM stage and histological grade were factors associated with the prognosis of OSCC,and the PI model has a certain significance in the clinical treatment of OSCC.