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Despite the strong prognostic stratification of circulating tumor cells (CTCs) enumeration in metastatic breast cancer (MBC), current clinical trials usually do not include a baseline CTCs in their design. This study aimed to generate a classifier for CTCs prognostic simulation in existing datasets for hypothesis generation in patients with MBC. A K-nearest neighbor machine learning algorithm was trained on a pooled dataset comprising 2436 individual MBC patients from the European Pooled Analysis Consortium and the MD Anderson Cancer Center to identify patients likely to have CTCs ≥ 5/7 mL blood (StageIVaggressive vs StageIVindolent). The model had a 65.1% accuracy and its prognostic impact resulted in a hazard ratio (HR) of 1.89 (Simulatedaggressive vs SimulatedindolentP < .001), similar to patients with actual CTCs enumeration (HR 2.76; P < .001). The classifier's performance was then tested on an independent retrospective database comprising 446 consecutive hormone receptor (HR)-positive HER2-negative MBC patients. The model further stratified clinical subgroups usually considered prognostically homogeneous such as patients with bone-only or liver metastases. Bone-only disease classified as Simulatedaggressive had a significantly worse overall survival (OS; P < .0001), while patients with liver metastases classified as Simulatedindolent had a significantly better prognosis (P < .0001). Consistent results were observed for patients who had undergone CTCs enumeration in the pooled population. The differential prognostic impact of endocrine- (ET) and chemotherapy (CT) was explored across the simulated subgroups. No significant differences were observed between ET and CT in the overall population, both in terms of progression-free survival (PFS) and OS. In contrast, a statistically significant difference, favoring CT over ET was observed among Simulatedaggressive patients (HR: 0.62; P = .030 and HR: 0.60; P = .037, respectively, for PFS and OS)., SCOPUS: ar.j, info:eu-repo/semantics/published

SCOPUS: no.j, info:eu-repo/semantics/published

Background: Burnout in health care professionals could have serious negative consequences on quality of patient care, professional satisfaction and personal life. Our aim was to investigate the burnout prevalence, work and lifestyle factors potentially affecting burnout amongst European oncologists ≤40 (YOs)., SCOPUS: ar.j, info:eu-repo/semantics/published

The European Society for Medical Oncology (ESMO) is one of the leading societies of oncology professionals in the world. Approximately 30% of the 13 000 ESMO members are below the age of 40 and thus meet the society's definition of young oncologists (YOs). ESMO has identified the training and development of YOs as a priority and has therefore established a comprehensive career development programme. This includes a leadership development programme to help identify and develop the future leaders in oncology. Well-trained and highly motivated future generations of multidisciplinary oncologists are essential to ensure the optimal evolution of the field of oncology with the ultimate goal of providing the best possible care to patients with cancer. ESMO's career development portfolio is managed and continuously optimised by several dedicated committees composed of ESMO officers and is directly supervised by the ESMO Executive Board and the ESMO President. It offers unique resources for YOs at all stages of training and includes a broad variety of fellowship opportunities, educational courses, scientific meetings, publications and resources. In this article, we provide an overview of the activities and career development opportunities provided by ESMO to the next generation of oncologists., SCOPUS: re.j, info:eu-repo/semantics/published

Purpose: We questioned the impact of pregnancy on disease-free survival (DFS) in women with history of breast cancer (BC) according to estrogen receptor (ER) status. Patients and Methods: A multicenter, retrospective cohort study in which patients who became pregnant any time after BC were matched (1:3) to patients with BC with similar ER, nodal status, adjuvant therapy, age, and year of diagnosis. To adjust for guaranteed time bias, each nonpregnant patient had to have a disease-free interval at least equal to the time elapsing between BC diagnosis and date of conception of the matched pregnant one. The primary objective was DFS in patients with ER-positive BC. DFS in the ER-negative cohort, whole population, and overall survival (OS) were secondary objectives. Subgroup analyses included DFS according to pregnancy outcome and BC-pregnancy interval. With a two-sided α = 5% and β = 20%, 645 ER-positive patients were required to detect a hazard ratio (HR) = 0.65. Results: A total of 333 pregnant patients and 874 matched nonpregnant patients were analyzed, of whom 686 patients had an ER-positive disease. No difference in DFS was observed between pregnant and nonpregnant patients in the ER-positive (HR = 0.91; 95% CI, 0.67 to 1.24, P = .55) or the ER-negative (HR = 0.75; 95% CI, 0.51 to 1.08, P = .12) cohorts. However, the pregnant group had better OS (HR = 0.72; 95% CI, 0.54 to 0.97, P = .03), with no interaction according to ER status (P = .11). Pregnancy outcome and BC-pregnancy interval did not seem to impact the risk of relapse. Conclusion: Pregnancy after ER-positive BC does not seem to reduce the risk of BC recurrence. © 2012 by American Society of Clinical Oncology., SCOPUS: ar.j, info:eu-repo/semantics/published