Endometriosis and endometrial cancer: A propensity score-adjusted real-world data study.

Endometriosis is a benign condition characterized by the presence of ectopic endometrial tissue. Our study investigated the effect of endometriosis on the risk of endometrial cancer (EC) and the prognosis of endometriosis-associated EC. In our study, 197,196 patients with endometriosis and without a previous diagnosis of EC were compared with 6,455,556 females encountering health services for examinations, with body mass index (BMI) data, and without endometriosis or EC. A propensity score generated 197,141 matched pairs. In the endometriosis cohort, 875 cases of EC were seen, whereas 558 were in the control group: the hazard ratio (HR) was 1.56 (95% CI 1.40-1.73, p < 0.001). Women with endometriosis were more likely to develop invasive endometrioid (p = 0.005) and clear cell (p < 0.001) EC. There was no difference in overall survival between endometriosis-associated EC and EC without endometriosis. Our epidemiological findings were consistent with the evidence of an association between endometriosis and EC.

How Many Cancer Clinical Trials Can a Clinical Research Coordinator Manage? The Clinical Research Coordinator Workload Assessment Tool.

PURPOSE: Cancer clinical trials (CTs) are now more complex than ever before and require dedicated personnel (clinical research coordinators [CRCs]) to perform regulatory and administrative activities and protocol- and patient-related procedures. We developed a simple tool to measure the workload (WL) of CRCs involved in cancer research and to estimate personnel requirements within a Clinical Trial Center. METHODS: A literature review and 2-month period in which CRCs recorded their activities in a diary provided valuable information that led to the Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori Workload Assessment Tool (IWAT) being divided into three sections: Protocol, On-Treatment Patients, and Follow-Up Patients. Twelve full-time senior CRCs from three sites of the Network measured their monthly WL for 30 months to evaluate IWAT reproducibility and accuracy. RESULTS: The IWAT proved to be a user-friendly tool (3-6 minutes required for each CT), with high reproducibility (interobserver reproducibility ranged from 82% to 100% for each IWAT item). In December 2017, the Network had 185 ongoing CTs, with a median of 2.5 active centers for each CT. On the basis of 448 total IWAT measures by CRCs, the majority of trials were academic (57%) or dealt with advanced disease (77%). The median IWAT WL score for each study was 20.98 ± 22.90 (range, 2-188) and 475 ± 229 (range, 150 [junior staff] - 930 [extreme heavy WL]) for each CRC. On the basis of our experience, a monthly WL score of 500-600 was considered an appropriate value for a full-time CRC. CONCLUSION: The IWAT could prove useful in evaluating CT complexity, estimating appropriate CRC WLs, and defining personnel requirements. Independent validation by other CRCs working in different organizational contexts and in different countries is needed.

Lessons learned from COVID-19 for clinical research operations in Italy: what have we learned and what can we apply in the future?

The coronavirus disease 2019 (COVID-19) pandemic has stressed the importance of health research as never before. In the specific domain of clinical research, the effort to rapidly find responses to health challenges and therapeutic hypotheses has highlighted the need for efficient, timely, ethically correct research. The guidelines published by the Agenzia Italiana del Farmaco have shown that some useful changes are feasible: simple and rapid methods have been implemented to conduct clinical research in the emergency conditions of the pandemic, maintaining high levels of quality. In this perspective, four Italian scientific associations operating in clinical research have worked together to evaluate which measures, among the ones implemented during the pandemic, have been particularly significant and potentially effective under normal conditions or in case of emergencies, and that therefore will be useful in the future as well.

Inflammatory Biomarkers as Predictors of Response to Immunotherapy in Urological Tumors.

Immunotherapy represents the new era of cancer treatment because of its promising results in various cancer types. In urological tumors, the use of the immune-checkpoint inhibitors (ICIs) is increasingly spreading. Although not all patients and not all diseases respond equally well to immunotherapy, there is an increasing need to find predictive markers of response to ICIs. Patient- and tumor-related factors may be involved in primary and secondary resistance to immunotherapy: tumor-derived protein and cytokines, tumor mutational burden, and patient performance status and comorbidities can condition tumor response to ICIs. Recently, some of these factors have been evaluated as potential biomarkers of response, with conflicting results. To date, the expression of programmed death-ligand 1 (PD-L1) and the presence of deficient mismatch repair (dMMR) in tumor tissue are the only biomarkers capable of guiding the clinician's decision in urothelial cancer and prostate cancer, respectively. In this review, we performed a comprehensive search of the main publications on biomarkers that are predictive of response to ICIs in urological cancers. Our aim was to understand whether existing data have the potential to drive clinical decision-making in the near future.

AR Copy Number and AR Signaling-directed Therapies in Castrationresistant Prostate Cancer.

BACKGROUND: Adaptive upregulation of Androgen Receptor (AR) is the most common event involved in the progression from hormone sensitive to Castration-Resistant Prostate Cancer (CRPC). AR signaling remains the main target of new AR signalling-directed therapies such as abiraterone and enzalutamide in CRPC patients. OBJECTIVE: In this review, we discuss general mechanisms of resistance to AR-targeted therapies, with a focus on the role of AR Copy Number (CN). We reported methods and clinical applications of AR CN evaluation in tissue and liquid biopsy, thus to have a complete information regarding its role as predictive and prognostic biomarker. CONCLUSION: Outcomes of CRPC patients are reported to be highly variable as the consequence of tumor heterogeneity. AR CN could contribute to patient selection and tumor monitoring in CRPC treated with new anti-cancer treatment as abiraterone and enzalutamide. Further studies to investigate AR CN effect to these agents and its potential combination with other prognostic or predictive clinical factors are necessary in the context of harmonized clinical trial design.

Circulating AR copy number and outcome to enzalutamide in docetaxel-treated metastatic castration-resistant prostate cancer.

In the present study, we aimed to evaluate the association of circulating AR copy number (CN) and outcome in a cohort of patients with advanced castration-resistant prostate cancer (CRPC) treated with enzalutamide after docetaxel. Fifty-nine CRPC patients were evaluated. AR CN was analyzed with real-time and digital PCR in the serum collected at starting of treatment. Progressive disease was defined on the basis of Prostate Cancer Working Group 2 criteria. AR CN gain was found in 21 of 59 (36%) patients. Median baseline PSA, alkaline phosphatase and lactate dehydrogenase levels were higher in the AR CN gained group (p = 0.007, p = 0.003, p = 0.0009, respectively). Median PFS of patients with AR CN gain was 2.4 (95%CI: 1.9-3.2) vs. 4.0 months (95%CI: 3.0-6.5) of those with no gain (p = 0.0004). Median OS of patients with AR CN gain was 6.1 (95%CI: 3.4-8.6) vs. 14.1 months (95%CI: 8.2-20.5) of those with no gain (p = 0.0003). At multivariate analysis, PSA decline ≥ 50% and AR CN showed a significant association with PFS (p = 0.008 and p = 0.002, respectively) and OS (p = 0.009 and p = 0.001, respectively). These findings indicate that the detection of circulating AR CN gain is a promising non-invasive biomarker for outcome prediction to enzalutamide treatment in CRPC patients.

Metabolic syndrome in castration-resistant prostate cancer patients treated with abiraterone.

BACKGROUND: Metabolic syndrome (MS) has not yet been studied in castration-resistant prostate cancer (CRPC) men treated with novel hormonal therapies. The study aims to assess the impact of MS on outcome from time starting abiraterone. PATIENTS AND METHODS: We retrospectively evaluated a consecutive series of metastatic CRPC patients treated with abiraterone after docetaxel failure. MS, as defined by modified Adult Treatment Panel (ATP) III criteria, was assessed at the time of initiation of abiraterone, during treatment and follow-up. RESULTS: Sixty-seven of 178 patients evaluated (37.6%) met MS criteria at baseline, before abiraterone initiation, whereas for 11 (9.9%) without MS before treatment with abiraterone this occurred during treatment. Median PFS was equal to 4.7 months for patients with MS versus 9 months for those without MS. Patients with MS had an increased risk of 71% of progression or death for all causes than patients without MS (HR = 1.7, 95% CI [1.2-2.4], P = 0.03). Median OS was 14.7 months and 22.3 months in patients with and without MS, respectively. After adjusting for covariates, MS resulted not significantly associated to OS (HR = 1.42, 95% CI [0.91-2.22], P = 0.073). CONCLUSIONS: The presence of MS is a significant risk factor for shorter PFS in CRPC patients treated with abiraterone, even if it does not show a significant impact on OS. A prospective evaluation is warranted.