Impact of intestinal dysbiosis-related drugs on the efficacy of immune checkpoint inhibitors in clinical practice.

PURPOSE: Intestinal dysbiosis has emerged as a biomarker of response to immune checkpoint inhibitors (ICIs). It can be caused by antibiotics, although it may also result from the use of other drugs that have been studied to a lesser extent. The objective of our study was to analyze the association between the use of potentially dysbiosis-related drugs and survival in patients treated with ICIs in the clinical practice. MATERIALS AND METHODS: A retrospective, multicenter, cohort study was conducted. Clinicopathological variables were collected and the concomitant use of drugs was analyzed. A descriptive analysis of variables and overall survival, estimated by the Kaplan-Meier method, was performed, and association with various independent variables was assessed using Cox regression. RESULTS: We included 253 patients, mainly with non-small cell lung cancer and melanoma. The most commonly used drugs were acid reducers, prescribed to 55.3% of patients, followed by corticosteroids (37.9%), anxiolytic drugs (35.6%), and antibiotics (20.5%). The use of acid reducers (9 vs. 18 months, P < .0001), antibiotics (7 vs. 15 months, P < .017), anxiolytic drugs (8 vs. 16 months, P < .015), and corticosteroids (6 vs. 19 months, P < .00001) was associated with poorer overall survival. Furthermore, the greater the number of drugs used concomitantly with ICIs, the higher the risk of death (1 drug: hazard ratio, 1.88; CI 95%, 1.07-3.30; 4 drugs: hazard ratio, 4.19; CI9 5%, 1.77-9.92; P < .001). CONCLUSION: Response to ICIs may be influenced by the use of drugs that lead to intestinal dysbiosis. Although a confirmatory prospective controlled study is required, our findings should be taken into account when analyzing ICI efficacy.

Evaluation of waiting times for breast cancer diagnosis and surgical treatment.

PURPOSE: To analyse any delays in breast cancer diagnosis and surgical treatment, influence of clinical and biological factors and influence of delays on survival. METHODS/PATIENTS: A descriptive, observational, and retrospective study was conducted between 2006 and 2016 on stages I-III breast cancer patients. This is a retrospective review of health records to collect data on delays, patients' clinical data, biological features of the tumour and information on treatment. Mortality data from the National Death Index. RESULTS: In 493 evaluable patients, the median of days from the first symptom to mammography, biopsy, and surgery was 41, 57, and 92, respectively. The median of days from screening mammography to biopsy and surgery was 10 and 51, respectively. From biopsy to surgery, the median was 34 days in every case. Over the last 5 years, an increase in biopsy-surgery delay has been observed (p = 0.0001). Tumour stages I and II vs. stage III (RR 1.74. 95% CI 1.08-2.80, p = 0.027), diagnosis in screening (RR 0.66. 95% CI 0.45-0.96, p = 0.030), and use of magnetic resonance imaging (RR 2.08. 95 CI 1.21-3.56, p = 0.008) condition a greater biopsy-surgery delay. No influence of delays on survival has been identified. CONCLUSIONS: Delays in diagnosis and surgery in the case of women diagnosed on the basis of symptoms may be improved. There is a temporary tendency to a greater delay in surgery. Some clinical and biological factors must be taken into account to optimise delays. Survival results are not adversely affected by delays.