Case-case study of factors associated to hMLH1, hMSH2, and hMSH6 protein expression among endometrial cancer patients of the University District Hospital of San Juan, Puerto Rico

波多黎各圣胡安大学区医院子宫内膜癌患者中与hMLH1、hMSH2和hMSH6蛋白表达相关的因素的病例研究

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Abstract

Lynch syndrome (LS) is an autosomal dominant disorder caused by DNA mismatch repair (MMR) system deficiencies. Women affected by LS present a 40% to 60% lifetime risk of endometrial cancer (EC). OBJECTIVE: This case-case study aims to determine the frequency of the hMLH1, hMSH2, and hMSH6 MMR proteins and the factors (age, family history of cancer [FHC] related to LS, and body mass index [BMI]) associated to their absence in EC patients attending the University District Hospital of San Juan, Puerto Rico. MATERIALS AND METHODS: Twenty cases were preliminary evaluated for the MMR protein expression by immunohistochemistry testing and classified as positive cases (presence of protein) or negative cases (absence of protein). The statistical analysis was based on the logistic regression model using the maximum likelihood estimation (MLE). The Bayesian approach was used to determine the posterior probability (posterior Pr[odds ratio {OR} > 1]). RESULTS: Results showed absence for at least 1 MMR protein in 25% of the cases, 15% for hMLH1, and 10% for hMSH2. None of the cases showed an absence for hMSH6. The MLE demonstrated that women diagnosed with EC before the age of 50 (OR: 12.4; 95% confidence interval [CI] = 0.5-322.7), having FHC related to LS (OR: 17.7; 95% CI = 0.6-534.6), and having lower BMI (OR: 2.38; 95% CI = 0.39-14.28) present higher odds than their counterparts of lacking an MMR protein, once adjusted for potential predictors (P > 0.05). The posterior probability that an excess risk of lacking an MMR protein occurs was 95% or greater for each predictor. CONCLUSIONS: Our study in this Hispanic population supports previous studies in that younger age, FHC, and lower BMI are associated with increased odds of having an absence of MMR protein expression. Further studies with larger sample sizes should be performed.

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