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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.
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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.
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Objective@#To investigate the effects between fish, seafood and pickled food intakes on oral squamous cell carcinoma (OSCC).@*Methods@#A case-control study was carried out in Fujian area during September 2010 to December 2016, in which 604 newly diagnosed primary OSCC cases confirmed by pathological diagnosis were collected from hospital and 1 343 control subjects were enrolled from community and healthy hospital population. Demographic data, history of smoking drinking and tea drinking, oral hygiene status and dietary behaviors (fish, seafood and pickled food intakes) were collected by in-person interviews using a standard questionnaire.Using unconditional logistic regression to estimate adjusted odds ratios (ORs) and corresponding 95% confidence intervals (CIs) to assess the effects of fish, seafood and pickled food intakes on OSCC. Analysis stratified by smoking, alcohol drinking and bad prosthesis to explore the possible difference in association between subgroups. Multiplicative interactions and additive interactions between fish and bad prosthesis, seafood and alcohol drinking, pickled food and bad prosthesis were assessed by unconditional logistic regression, relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP) and synergy index (S).@*Results@#The average age of case group and control group were separately (58.69±13.92) years old and (59.27±11.37) years old (χ2=4.75, P=0.191). The people whose fish and seafood intakes ≥3 times/week had the lower risk of OSCC, the adjusted OR (95%CI) values were 0.63 (0.52-0.77) and 0.51 (0.41-0.64); The stratified analysis indicated that the people having bad prosthesis had the lower risk of OSCC if they eating fish ≥3 times/week, and the adjusted OR (95%CI) values was 0.53 (0.39-0.71); the people having bad prosthesis had the higher risk of OSCC if they eating pickled food ≥3 times/week, the adjusted OR (95%CI) values was 1.37 (1.02-1.88). Regularly eating seafood can decrease the risk of OSCC for non-smokers, smokers, non-drinkers, drinkers, people without bad prosthesis and had bad prosthesis, the adjusted OR (95%CI) values were 0.49 (0.36-0.68), 0.52 (0.37-0.73), 0.41 (0.31-0.55), 0.77 (0.51-0.96), 0.49 (0.36-0.67), 0.59 (0.42-0.83). Crossover analysis showed fish and bad prosthesis exist multiplication interaction relationship (adjusted OR=0.66, 95%CI: 0.44-0.97) and additional interaction relationship (RERI=-0.81, 95%CI:-1.43--0.19; AP=-0.76, 95%CI:-1.35--0.17; S=0.08, 95%CI: 0.01-0.98); pickled food and bad prosthesis exist multiplication interaction relationship (adjusted OR=1.63, 95%CI: 1.06-2.51) and addition interaction relationship (RERI=0.65, 95%CI:0.08-1.22; AP=0.36, 95%CI:0.10-0.62; S=5.19, 95%CI:1.32-54.49).@*Conclusion@#Reducing the consumption of pickled food, quitting smoking and limiting alcohol consumption, and regularly eating fish and seafood can prevent the occurrence of OSCC.
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ObjectiveTo explore the value of differential diagnosis between pigmented villonodular synovitis (PVNS) and rheumatoid arthritis (RA) in active stage with clinic and ultrasound. MethodsWe analyzed retrospectively the characters of clinic and ultrasound of sixteen patients with PVNS and sixteen patients with rheumatoid arthritis inactive stage.ResultsIn aspects of patient’s age (T=185), pain scores (T=136) history of trauma (P=0.029), functionally uncompensated conditions (P=0.001) type (P=0.000) and sum (P=0.000) of involved joints、bright spot-echoes in hydrops (P=0.001) tendons nearby involved (P=0.001) and the Adler’s grade of Doppler ultrasound blood flow (P=0.009), the differences between PVNS and RA in active stage had statistical significance (P0.05).ConclusionThe clinical characters including Patient’s age, pain scores, history of trauma, functionally uncompensated conditions, and the characters of ultrasound including type and sum of involved joints, bright spot echoes in hydrops, tendons nearby involved and the Adler’s grade of Doppler ultrasound blood flow, are helpful for the differential diagnosis of PVNS and RA in active stage.