Real-world clinical outcomes of patients with BRCA-mutated, human epidermal growth factor receptor 2 (HER2)-negative metastatic breast cancer: a CancerLinQ® study.

PURPOSE: To investigate real-world clinical outcomes in patients with BRCA-mutated (BRCAm), HER2-negative metastatic breast cancer (mBC) according to BRCA and hormone receptor (HR) status. METHODS: Patients diagnosed with HER2-negative mBC between 01 January 2010 and 31 December 2018 were retrospectively identified from the American Society of Clinical Oncology's CancerLinQ Discovery® database. Time to first subsequent therapy or death (TFST) from date of mBC diagnosis and start of first-line treatment for mBC and overall survival (OS) from date of mBC diagnosis were investigated according to BRCA status (BRCAm, BRCA wild type [BRCAwt] or unknown BRCA [BRCAu]) and HR status (positive/triple negative breast cancer [TNBC]). Follow-up continued until 31 August 2019 (i.e. minimum of 8 months). RESULTS: 3744 patients with HER2-negative mBC were identified (BRCAwt, n = 460; BRCAm, n = 83; BRCAu, n = 3201) (HR-positive, n = 2738). Median (Q1, Q3) age was 63.0 (54.0, 73.0) years. Median (95% confidence interval [CI]) TFST (months) from mBC diagnosis was as follows: HR-positive, 7.7 (5.0, 11.2), 8.3 (6.6, 10.2) and 9.4 (8.7, 10.1); TNBC, 5.4 (3.9, 12.4), 5.6 (4.7, 6.6) and 5.4 (5.0, 6.2) for BRCAm, BRCAwt and BRCAu, respectively. Median (95% CI) OS (months) was as follows: HR-positive, 41.1 (31.5, not calculable), 55.1 (43.5, 65.5) and 33.0 (31.3, 34.8); TNBC, 13.7 (11.1, not calculable), 14.4 (10.7, 17.0) and 11.7 (10.3, 12.8) for BRCAm, BRCAwt and BRCAu, respectively. CONCLUSION: When stratified by HR status, TFST and OS were broadly similar for patients with HER2-negative mBC, irrespective of BRCA status. Further global real-world studies are needed to study outcomes of this patient population.

Rationale and study protocol of ACQUIRE, a prospective, observational study measuring quality of life, treatment preference and treatment satisfaction of autosomal dominant polycystic kidney disease (ADPKD) patients in Europe.

BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD) is considered the most common inherited renal disease. Patient-Reported Outcomes (PROs) and patient experience in ADPKD are difficult to quantify and have not been well studied, particularly in the early stages of the disease. There is evidence to suggest that early-stage ADPKD patients have a lower Health-Related Quality of Life (HRQoL) than the general population due to the signs and symptoms of early-stage ADPKD. However, no research has been carried out on the HRQoL of early-stage ADPKD patients using validated ADPKD-specific PRO measures. Additionally, a new disease progression delaying treatment option has recently emerged for ADPKD. Patient preference for this treatment and unmet treatment needs have not yet been investigated. METHODS: The ACQUIRE study is a prospective, observational study investigating the influence of early-stage ADPKD-related symptoms and treatments on PROs. It aims to collect real-world data on patient demographics, treatment patterns, clinical outcomes, and PROs such as HRQoL, treatment satisfaction and treatment preference in early-stage ADPKD. Adult ADPKD patients in stages 1-3 of chronic kidney disease (CKD) with evidence of rapidly progressing disease are being recruited from seven European countries. At baseline and every 3 months, for a follow-up period of 18 months, general and disease-specific questionnaires are completed remotely to capture patients' own assessment of their overall and ADPKD-related HRQoL. A Discrete Choice Experiment (DCE) is also used to investigate the value patients place on different attributes of hypothetical treatment options (e.g. treatment outcomes, side effects) and the role each attribute plays in determining overall patient treatment preference. DISCUSSION: The results of this study will highlight the real-world effects of ADPKD-related challenges on PROs including HRQoL, treatment experience and satisfaction; and help physicians gain greater insight into likely disease outcomes based on early-stage patient symptoms and patients' experience with treatment. Data captured by the DCE may inform ADPKD treatment decision-making from a patient perspective. The DCE will also provide insights into which patients are more likely to perceive benefit from treatments based on the value and trade-offs they place on specific treatment attributes. TRIAL REGISTRATION: NCT02848521 . Protocol Number/Version: 156-303-00096/Final.

Patient Preferences Influencing Treatment Decision-Making in Early-Stage Breast Cancer in Germany, Italy, and Japan.

Purpose: Patients with early breast cancer (eBC) are increasingly provided with different options, which may involve a sequence of different treatments and treatment modalities, and eligibility for certain adjuvant treatments depending upon pre-surgical and surgical outcomes. This study examined patient preferences around aspects of treatment decision-making in eBC. Patients and Methods: A total of 452 patients with self-reported eBC in Germany (n=151), Italy (n=151), and Japan (n=150) completed an online survey about physician interactions and treatment side effects. The survey included best-worst scaling (BWS) to assess prioritization of 13 statements reflecting aspects of treatment decision-making. In a series of choice tasks, participants chose their most and least preferred options among subsets of 4 statements. Hierarchical Bayesian modeling was used to estimate BWS preference scores for each statement. BWS scores were based on the number of times a statement was chosen as most versus least preferred; scores total 100 for each patient. Results: The most preferred aspects of treatment decision-making were "treatment aggressiveness matches personal risk" (mean BWS score = 13.49), "being told about what is coming" (13.18), deciding based on "own surgical outcome" (11.90), "avoiding unnecessary treatment" (10.35), and "involving in treatment decisions" (9.44). The least preferred aspects were "not being asked about treatment decisions along the way" (3.27) and "receiving the same treatment as other patients" (3.41). Patients in Japan preferred "being told about what is coming", "deciding based on own surgical outcome", "avoiding unnecessary treatment", and being "involved in decisions" more than patients in Italy and Germany. Patients in Germany were more satisfied with their physician interactions and care, although their outcomes were not always better than those in Italy and Japan. Conclusion: Patients value individualized treatment tailored to their risk of recurrence and tolerance of side effects, highlighting the need for focused patient education about options, to encourage their engagement.

New treatment pathways based on promising biomarkers are being studied in early breast cancer. This study aimed to understand the importance that patients may place on different features describing how decisions are made along potential treatment pathways for early breast cancer. Participants in Italy, Germany, and Japan were asked to compare various aspects of treatment decision-making and choose those that were most and least important to them. Among the aspects tested, the top 4 were similar across countries: the desire to receive treatment with a level of aggressiveness that matches their individual prognosis, the need to receive adequate and timely information about their upcoming treatment, the need to tailor treatment decisions based on their individual surgery outcomes, and a desire to avoid overtreatment. Not being involved in treatment decisions was the least preferred of the aspects. Patients in Germany and Italy most valued the ability to tailor the aggressiveness of their treatment based on their individual risk of recurrence, whereas patients in Japan prioritized being knowledgeable and prepared for their treatment journey. The results from this study emphasize patients' desire to be adequately informed about available treatment choices for early breast cancer, to avoid unnecessary treatments, and to be involved in treatment decisions.

A Novel Approach to Computing Preference Estimates for Different Treatment Pathways: An Application in Oncology.

BACKGROUND: Patients with cancer may progress through multiple treatments with differing adverse effect profiles. Moreover, pathways may be fixed or flexible in allowing for escalation or de-escalation of treatment depending on interim outcomes. We sought to develop a methodology capable of estimating preferences for the entirety of a pathway involving a sequence of different treatments. METHODS: Patients with early breast cancer completed an online discrete choice experiment to assess preferences for eight key early breast cancer attributes. Hierarchical Bayesian modeling was used to calculate attribute-level preference weights. Preference weights for hypothetical pathways were estimated by summing the respective weights for efficacy, flexible or fixed pathway, duration, administration regimen, and adverse event risk, the last two of which were time-adjusted by multiplying each weight by the proportion of time spent on a selected treatment. RESULTS: Increases in the risk of a serious adverse event were most influential in treatment pathway preferences, followed by increases in efficacy and decreases in overall pathway duration. Patients preferred a flexible pathway versus a fixed pathway. Pathway preference estimates fluctuated in a logically consistent manner. Switching from a flexible to a fixed pathway yielded a significantly lower pathway preference. For this same pathway, when adjuvant treatment was replaced with a treatment with a more favorable toxicity profile and shorter duration, it offset the negative impact of the more toxic neoadjuvant chemotherapy. CONCLUSIONS: This novel methodology accounts for patient preference throughout a sequence of treatments, allowing for comparison of preferences across complex treatment pathways.