BackgroundEvolution of metastatic melanoma (MM) under B-RAF inhibitors (BRAFi) is unpredictable, but anticipation is crucial for therapeutic decision. Kinetics changes in metastatic growth are driven by molecular and immune events, and thus we hypothesized that they convey relevant information for decision making.Patients and methodsWe used a retrospective cohort of 37 MM patients treated by BRAFi only with at least 2 close CT-scans available before BRAFi, as a model to study kinetics of metastatic growth before, under and after BRAFi. All metastases (mets) were individually measured at each CT-scan. From these measurements, different measures of growth kinetics of each met and total tumor volume were computed at different time points. A historical cohort permitted to build a reference model for the expected spontaneous disease kinetics without BRAFi. All variables were included in Cox and multistate regression models for survival, to select best candidates for predicting overall survival.ResultsBefore starting BRAFi, fast kinetics and moreover a wide range of kinetics (fast and slow growing mets in a same patient) were pejorative markers. At the first assessment after BRAFi introduction, high heterogeneity of kinetics predicted short survival, and added independent information over RECIST progression in multivariate analysis. Metastatic growth rates after BRAFi discontinuation was usually not faster than before BRAFi introduction, but they were often more heterogeneous than before.ConclusionsMonitoring kinetics of different mets before and under BRAFi by repeated CT-scan provides information for predictive mathematical modelling. Disease kinetics deserves more interest

Background:The rate of unfavorable outcomes, such as recurrence and death, in women with invasive breast cancer varies widely across countries and populations. Identifying those with high-risk profiles is critical so that early detection, prediction, and intervention can be made to improve their survival rate. Therefore, our study evaluated the rate of unfavorable outcomes and its association with clinicopathological characteristics in Vietnamese women with primary invasive breast cancer. Methods:A retrospective open cohort study was conducted on Vietnamese women with invasive breast cancer who underwent a mastectomy and were regularly followed up by the hospitals. Kaplan-Meier method was used to estimate the rate of unfavorable outcomes to take into account the follow-up time of each patient. Univariate and multiple Cox regression analyses were conducted to examine the associations between unfavorable outcomes and clinicopathological characteristics. Results: Among 204 women included in the data analysis, the mean age was 54.4 ± 10.9 years. The majority of patients were diagnosed with early-stage (76.5%) or locally advanced (22.5%) breast cancer. The 5-year rate of unfavorable outcomes was 12.8%, and the 8-year rate was 31.7%. Patients with advanced stages had a higher risk of unfavorable outcomes compared to those with early stages (IA, IIA, T2N1). Patients with lymph node metastases and those with triple-negative molecular classification had significantly higher rates of unfavorable outcomes. Conclusion: Although Vietnamese women with breast cancer have a relatively low rate of unfavorable outcomes compared to other countries, findings from this study emphasize the importance of early detection and underscore the need for targeted interventions for patients with advanced stages, lymph node metastases, and triple-negative breast cancer to optimize their treatment, outcomes, and overall prognosis.

Tumor-infiltrating lymphocytes (TILs) and programmed death ligand 1 (PD-L1) are promising new factors in the prognosis and prediction of breast cancer patients. Our study evaluated the prevalence of expression of TILs on hematoxylin and eosin (H&E) slides, PD-L1 expression on immunohistochemistry, and their association with clinicopathological characteristics in Vietnamese women with invasive breast cancer. This study was conducted on 216 women with primary invasive breast cancer. The evaluation of TILs on the HE slides was based on the International TILs Working Group 2014 recommendation. PD-L1 protein expression was determined using the Combined Positive Score, the number of tumor cells, lymphocytes, and macrophages stained by PD-L1 divided by the total viable tumor cells multiplied by 100. Based on the cutoff of 11%, the prevalence of TILs expression was 35.6%, of which highly expressed TILs (≥50%) accounted for 15.3%. Postmenopausal women and those who had a body mass index of 25 kg/m2 or greater had a higher odds of having TILs expression. However, patients who had the expression of Ki-67, HER-positive molecular subtype, and triple-negative subtype were more likely to have TILs expression. The prevalence of PD-L1 expression was 30.1%. A significantly higher odds of having PD-L1 was found in patients who had a history of benign breast disease, self-detected tumor and had TILs expression. The expression of TILs and PD-L1 is common in Vietnamese women with invasive breast cancer. Because of the importance of these expressions, routine evaluation to find women who had TILs and PD-L1 is needed so that treatment and prognosis can be optimized. Such routine evaluation can be targeted to those who had a high-risk profile found in this study.

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