Worst outcomes according to RAS mutation variants: an analysis in patients with metastatic colorectal adenocarcinoma.

PURPOSE: Over 50% of metastatic colorectal cancers harbor RAS mutations. It is unclear if different mutation variants have an impact on survival. The purpose of this study was to evaluate the impact of these mutations on colorectal cancer survival. METHODS: The charts of all cases of metastatic colorectal cancer diagnosed between January 2005 and January 2016 in a tertiary hospital in Brazil were reviewed. Inclusion criteria were complete data on clinical staging, treatments received and all-RAS testing. Multivariate Cox proportional survival models were used to evaluate the impact of specific RAS variants on survival. RESULTS: There were 151 eligible patients and 61.6% had RAS alterations, the most common G12D (11.9%) and G12A (8.6%). Most patients received chemotherapy, including oxaliplatin (79%), irinotecan (53%) and bevacizumab (59%). Among RAS-wild type patients, 46% received anti-EGFR therapy. Median survival was 39.2 months for RAS-wildtype, 18.8 months for RAS G12A and 34.6 for other RASmutant patients (multivariate analysis for G12A vs RASwild type HR 1.94; 95% CI 0.83-5.51; p=0.12). CONCLUSION: Patients with metastatic colorectal cancer who have RAS mutations have shorter overall survival. Regarding the impact of specific KRAS alterations, G12A mutations have a worse prognosis.

Predictive Value of Serum Carbohydrate Antigen 19-9 (CA19-9) for Early Mortality in Advanced Pancreatic Cancer.

INTRODUCTION: Levels of carbohydrate antigen 19-9 (CA19-9) in metastatic pancreatic cancer are used in daily practice as a marker of response to chemotherapy. The association between CA19-9 levels and mortality remains uncertain. This study sought to determine the most accurate level of CA19-9 associated with early mortality, both at diagnosis and during the course of metastatic disease. METHODS: This research is a retrospective analysis of 64 patients with metastatic adenocarcinoma of the pancreas evaluated from January 2010 to December 2015. A receiver-operating characteristic (ROC) curve analysis was performed to evaluate the CA19-9 value and the association with early death (death within 2 months after diagnosis of advanced disease). The survival analysis was estimated by the Kaplan-Meier method, and variables of interest were assessed by proportional hazards regression Cox models. RESULTS: The mortality rate was 92.2%, and the estimated median survival was 11.0 months. For the ROC curve analysis of initial CA19-9, an area under the curve of 0.868 (95% confidence interval 0.782 to 0.954) was obtained; the cutoff of 2504 U/ml had a sensitivity of 100% and specificity of 82.8% for early death. The effect of initial CA19-9 and chemotherapy contributed independently to the survival time, and every increase of 1000 CA19-9 units increased the risk of death by 9% (p = 0.0003). CONCLUSION: CA19-9 levels in advanced pancreatic adenocarcinoma are associated independently with worse prognosis and early death. CA19-9 levels could be considered as a stratification factor for future clinical trials.

Use of Expansion Cohorts in Phase I Trials and Probability of Success in Phase II for 381 Anticancer Drugs.

Purpose: Evaluate the association between the use of phase I expansion cohorts (ECs) and drug performance in phase II as well as time to approval by the FDA.Experimental Design: We performed a systematic search of MEDLINE for single-agent dose-finding adult oncology phase I trials published in 2006 to 2011 and subsequent phase II trials. Successful phase II trials were those that met their primary endpoints. Dates of approval were obtained from the Drugs@FDA website in April 2014. A logistic regression model was used to determine the associations between variables and success in phase II.Results: We identified 533 phase I trials evaluating 381 drugs; 112 drugs had at least one phase I trial with an expansion cohort. Phase I trials with expansion cohorts of two to 20 patients were associated with a higher rate of successful phase II trials than those with no expansion cohort [48% vs. 27%; OR, 2.1; 95% confidence interval (CI), 1.1-4.0; P = 0.037]. Phase II success rates were the same for expansion cohort with two to 20 and more than 20 patients (48% vs. 52%). Other positive associations were disease-specific trials (OR, 1.7; 95% CI, 1.0-2.9; P = 0.037), industry sponsorship (OR, 2.9; 95% CI, 1.5-5.7; P = 0.0024), and response rate of 6% to 20% (OR, 2.89; 95% CI, 1.6-5.2; P = 0.0007). Drugs tested in phase I trials with expansion cohorts had a higher rate of 5-year approval (19% vs. 5%; HR, 4.4; 95% CI, 2.2-8.8; P < 0.001).Conclusions: The use of expansion cohorts in phase I trials was associated with success of subsequent phase II trials. However, confounders may play a role in this association. Clin Cancer Res; 23(15); 4020-6. ©2017 AACR.

Association of glucocorticoid receptor polymorphisms with clinical and metabolic profiles in polycystic ovary syndrome.

OBJECTIVES: We aimed to investigate whether glucocorticoid receptor gene polymorphisms are associated with clinical and metabolic profiles in patients with polycystic ovary syndrome. Polycystic ovary syndrome is a complex endocrine disease that affects 5-8% of women and may be associated with metabolic syndrome, which is a risk factor for cardiovascular disease. Cortisol action and dysregulation account for metabolic syndrome development in the general population. As glucocorticoid receptor gene (NR3C1) polymorphisms regulate cortisol sensitivity, we hypothesized that variants of this gene may be involved in the adverse metabolic profiles of patients with polycystic ovary syndrome. METHOD: Clinical, metabolic and hormonal profiles were evaluated in 97 patients with polycystic ovary syndrome who were diagnosed according to the Rotterdam criteria. The alleles of the glucocorticoid gene were genotyped. Association analyses were performed using the appropriate statistical tests. RESULTS: Obesity and metabolic syndrome were observed in 42.3% and 26.8% of patients, respectively. Body mass index was positively correlated with blood pressure, triglyceride, LDL-c, total cholesterol, glucose and insulin levels as well as HOMA-IR values and inversely correlated with HDL-c and SHBG levels. The BclI and A3669G variants were found in 24.7% and 13.4% of alleles, respectively. BclI carriers presented a lower frequency of insulin resistance compared with wild-type subjects. CONCLUSION: The BclI variant is associated with a lower frequency of insulin resistance in women with polycystic ovary syndrome. Glucocorticoid gene polymorphism screening during treatment of the syndrome may be useful for identifying subgroups of at-risk patients who would benefit the most from personalized treatment.

Association of glucocorticoid receptor polymorphisms with clinical and metabolic profiles in polycystic ovary syndrome

OBJECTIVES: We aimed to investigate whether glucocorticoid receptor gene polymorphisms are associated with clinical and metabolic profiles in patients with polycystic ovary syndrome. Polycystic ovary syndrome is a complex endocrine disease that affects 5-8% of women and may be associated with metabolic syndrome, which is a risk factor for cardiovascular disease. Cortisol action and dysregulation account for metabolic syndrome development in the general population. As glucocorticoid receptor gene (NR3C1) polymorphisms regulate cortisol sensitivity, we hypothesized that variants of this gene may be involved in the adverse metabolic profiles of patients with polycystic ovary syndrome. METHOD: Clinical, metabolic and hormonal profiles were evaluated in 97 patients with polycystic ovary syndrome who were diagnosed according to the Rotterdam criteria. The alleles of the glucocorticoid gene were genotyped. Association analyses were performed using the appropriate statistical tests. RESULTS: Obesity and metabolic syndrome were observed in 42.3% and 26.8% of patients, respectively. Body mass index was positively correlated with blood pressure, triglyceride, LDL-c, total cholesterol, glucose and insulin levels as well as HOMA-IR values and inversely correlated with HDL-c and SHBG levels. The BclI and A3669G variants were found in 24.7% and 13.4% of alleles, respectively. BclI carriers presented a lower frequency of insulin resistance compared with wild-type subjects. CONCLUSION: The BclI variant is associated with a lower frequency of insulin resistance in women with polycystic ovary syndrome. Glucocorticoid gene polymorphism screening during treatment of the syndrome may be useful for identifying subgroups of at-risk patients who would benefit the most from personalized treatment. .