Association between serum arsenic and oral cancer risk: A case-control study in southeast China.

OBJECTIVES: Evidence on serum arsenic and oral cancer risk was limited. We aimed to evaluate the association between serum arsenic and the risk of oral cancer in a southeast China population. METHODS: Serum arsenic was determined for 325 oral cancer patients and 648 controls using inductively coupled plasma-mass spectrometry (ICP-MS). Logistic regression and restricted cubic spline were analysed the association between serum arsenic level and oral cancer risk, and crude and adjusted odds ratios (aOR) with 95% confidence interval (95% CI) were calculated. Factors adjusted for included age, gender, BMI, smoking, drinking, education, residence, marital status and dietary factors. Stratification analysis was further performed according to drinking, smoking and dietary characteristics. RESULTS: Serum arsenic level was lower in the case group (P50  = 19.2µg/L, IQR = 11.6 ~ 26.4µg/L) than in the control group (P50  = 30.2 µg/L, IQR = 25.0 ~ 36.4 µg/L). An inverse but nonlinear association was observed between arsenic level and oral cancer risk by restricted cubic spline. These with moderate serum arsenic levels had a lower risk of oral cancer than those with low levels (OR = 0.11; 95%CI: 0.07-0.18), after adjusting for demographic and dietary intake factors. We also kept serum arsenic as a continuous variable in a regression model, where a similar inverse association between arsenic and oral cancer was observed, with OR = 0.86 (95%CI: 0.84-0.88). Stratification analysis revealed no significant multiplicative interactions between serum arsenic and smoking, drinking or dietary intake. CONCLUSION: Serum arsenic is inversely related to oral cancer risk. Relative to those with low levels of arsenic, people with moderate serum arsenic levels had a lower risk of oral cancer. If confirmed, serum arsenic level may be a useful predictive marker for oral cancer risk.

Erythrocyte ω-3 polyunsaturated fatty acids are inversely associated with the risk of oral cancer: a case-control study.

OBJECTIVES: Evidence about ω-3 polyunsaturated fatty acids (ω-3 PUFAs) and oral cancer risk were limited. We aimed to evaluate the association of erythrocyte ω-3 PUFAs with the risk of oral cancer in a population from China. METHODS: Erythrocyte ω-3 PUFAs of 236 oral cancer patients and 300 controls were determined by gas chromatography. Restricted cubic spline and logistic regression were used to analyze the association between erythrocyte ω-3 PUFAs and oral cancer risk. The crude and adjusted OR with 95% CI was calculated. Stratification analysis was performed to explore the potential interaction between ω-3 PUFAs and other traditional risk factors such as smoking and drinking. RESULTS: Eicosapentaenoic acids (EPA), docosahexaenoic acids (DHA) and ω-3 index were negatively but non-linearly related to risk of oral cancer as observed by restricted cubic spline. The adjusted OR of EPA, DHA, and ω-3 index were 0.52 (95% CI: 0.35-0.76), 0.19 (95% CI: 0.08-0.44), 0.20 (95% CI: 0.09-0.44), respectively. Stratification analysis showed that the adverse correlation between EPA and oral cancer was only significant in the non-smoking group, while the adverse correlation of ɑ-linolenic acid (ALA), EPA, and DHA were only significant in the non-drinking group. General multiplicative interactions were observed between ω-3 PUFAs and smoking or drinking. CONCLUSIONS: Adverse but non-linear associations were observed between erythrocyte EPA, DHA, ω-3 index, and oral cancer risk. Additionally, there were multiplicative interactions between ω-3 PUFAs and other behavior factors such as smoking and drinking. The protective effect of ω-3 PUFAs maybe more significant in the non-smoking or non-drinking population.

Postoperative dynamic survival of gastric cancer patients: A multi-institutional, international analysis of 22 265 patients.

BACKGROUND: How to best evaluate the disease-specific survival (DSS) of gastric cancer (GC) survivors over time is unclear. METHODS: Clinicopathological data from 22 265 patients who underwent curative intend resection for GC were retrospectively analyzed. Changes in the patients' 3-year conditional disease-specific survival (CS3) were analyzed. We used time-dependent Cox regression to analyze which variables had long-term effects on DSS and devised a dynamic predictive model based on the length of survival. RESULTS: Based on 1-, 3-, and 5-year survivorships, the CS3 of the population increased gradually from 62% to 68.1%, 83.7%, and 90.6%, respectively. Subgroup analysis showed that the CS3 of patients who had poor prognostic factors initially demonstrated the greatest increase in postoperative survival time (eg, N3b: 26.6%-84.1%, Δ57.5% vs N0: 84.1%-93.3%, Δ9.2%). Time-dependent Cox regression analysis showed the following predictor variables constantly affecting DSS: age, the number of examined lymph nodes (LNs), T stage, N stage, and site (P < .05). These variables served as the basis for a dynamic prediction model. CONCLUSIONS: The influence of prognostic factors on DSS and CS3 changed dramatically over time. We developed an effective model for predicting the DSS of patients with GC based on the length of survival time.

Association between mir-24 and mir-378 in formalin-fixed paraffin-embedded tissues of breast cancer.

BACKGROUND: MiR-24/378 is thought to be onco-miRNAs for their ability of enhancing tumor growth. The objective of this study was to evaluate the potential predictive value of miR-24/378 expression in formalin-fixed paraffin-embedded tissues of breast cancer patients. METHODS: The expression of miR-24/378 was examined in 101 breast cancer patients and 40 controls using real-time quantitative PCR. All statistical analyses were performed using SPSS16.0. RESULTS: We found that miR-24 and miR-378 were significantly up-regulated in breast cancer patients compared with controls (all P < 0.01). The expression levels of the two miRNAs were highly correlated with each other in breast cancer patients, with r = 0.778 between miR-24 and miR-378. Moreover, the two miRNAs exhibited great capability of discriminating between cancer patients and controls by ROC analysis. MiR-24 and miR-378 showed 0.79 and 0.807 AUC values respectively. CONCLUSIONS: Over-expression of miR-24 and miR-378 in FFPE tissue of breast cancer patients might conduct as an ideal source for biomarker discovery and validation in breast cancer patients.

Over-expression of miR-98 in FFPE tissues might serve as a valuable source for biomarker discovery in breast cancer patients.

The miR-98 is thought to be associated with various cancers. This study was to evaluate the potential predictive value of miR-98 expression in formalin-fixed paraffin-embedded tissue of breast cancer patients. The expression levels of miR-98 were examined in 98 breast cancer patients and 40 cancer-free controls using real-time quantitative PCR. The comparison of miR-98 expression levels between patient and control was performed using the Mann-Whitney test. The miR-98 showed higher expression levels in breast cancer patients compared with cancer free controls (p<0.01). The expression levels of miR-98 were highly correlated with miR24/93/378 in breast cancer patients. The miR-98 exhibited great capability of discriminating between cancer patients and controls by the Receiver-operator characteristic (ROC) curve analysis. The miR-98 was found highly correlated with breast cancer by Univariable logistic regression analysis. These results suggest that over-expression of miR-98 in formalin-fixed paraffin-embedded tissues might serve as a valuable source for biomarker discovery in breast cancer patients.

Expression level of miR-93 in formalin-fixed paraffin-embedded tissues of breast cancer patients.

MiR-93 is thought to be an onco-miRNA for its capabilities of enhancing tumor growth. The objective of this study was to evaluate the potential predictive value of miR-93 expression in formalin-fixed paraffin-embedded (FFPE) tissues of breast cancer patients. The expression of miR-93 was examined in 101 breast cancer patients and 40 controls using real-time quantitative PCR. We found that miR-93 was markedly upregulated in breast cancer patients compared with controls (p<0.01). The expression level of miR-93 was significantly correlated with miR-24/378 in breast cancer patients. MiR-93 exhibited great capability of discriminating between cancer patients and cancer-free controls by receiver-operator characteristic (ROC) curve analysis. MiR-93 showed 0.866 AUC (the area under the ROC curve) values. The MiR-93 level was found significantly correlated with breast cancer by univariable logistic regression. These results suggest that overexpression of miR-93 in FFPE tissues may serve as an indispensable source for biomarker discovery and validation in breast cancer patients.