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Aim: The correlation between response and survival has not been well-studied in relapsed or refractory multiple myeloma (RRMM). Materials & methods: A systematic literature review of Medline, Embase and Cochrane databases (2010–06/2020) and relevant congresses (2018–2020) was performed to identify randomized clinical trials in RRMM reporting median overall survival (mOS), progression-free survival and response end points. The relationship between mOS and response end points was analyzed using Pearson's product-moment correlation. Results: A total of 81 records for 65 original studies, representing 12,827 patients were included. The correlation was moderate for mOS with overall response rate (Pearson r = 0.79), very good partial response (r = 0.73) and duration of response (r = 0.78); all were statistically significant. In linear regression models, estimated mOS gain was 0.48, 0.47 and 1.94 months per percentage point of overall response rate, very good partial response and complete response, respectively (all p < 0.001). Significance was maintained after adjustment for age, relapsed versus refractory multiple myeloma and study year. The analysis was limited by small sample sizes and inconsistent reporting of study-level covariates. Conclusion: These findings support short-term response-based end points as surrogates to survival in RRMM. Treatments for multiple myeloma may not work for every patient and the cancer may come back. In clinical trials, it is difficult to find out how well new treatments work in allowing patients to live longer. This is especially true when patients have advanced disease that has returned or has not responded to treatment. How well a patient responds to treatment (i.e., has a decreased extent of disease) could indicate whether the drug will help the patient live longer, but the relationship between response to treatment and survival is not fully understood. We conducted a systematic review and meta-analysis to better understand how response rates and survival are related. A systematic review collects all the published research on a specific subject, and a meta-analysis is a statistical method that creates a single finding from several separate studies. This study found a moderate relationship between how long patients live after receiving treatment for multiple myeloma and their response to treatment. This would allow response-to-treatment data from clinical trials to be used to predict better survival and show the drug can help patients. Potential surrogate? Overall response rate, very good partial response and duration of response were all shown to have a significant, moderate correlation with overall survival among relapsed or refractory multiple myeloma patients. [ABSTRACT FROM AUTHOR]

Aim:De novo relapsed and/or refractory acute myeloid leukemia (rrAML) has limited treatment options for patients not eligible ('unfit') to receive intensive chemotherapy-based interventions. The authors aimed to summarize outcomes for licensed therapies in this setting. Materials & methods: A systematic literature review identified licensed therapies in this setting. A feasibility assessment was made to conduct a network meta-analysis to evaluate comparative efficacy. Results: Seven unique trials were identified. Median survival months were 13.8 for gemtuzumab ozogamicin (GO), 9.3 for gilteritinib (FLT3 mutated rrAML), 5.6 for low-dose cytarabine and 3.2 for best supportive care; transplant rates with gilteritinib and GO were 25.5 and 19%, respectively. A network meta-analysis was not feasible. Conclusion: There remains a high unmet need in de novo rrAML patients not eligible for intensive therapy, with GO and gilteritinib (only FLT3-mutated AML) providing the best current options. Some patients with acute myeloid leukemia (AML) have no response to initial treatment or have a response that is subsequently lost. Follow-on treatment options after that initial stage are limited, especially for patients who are not able to have intensive therapy, such as chemotherapy, due to age, physical or cognitive function, existing comorbidities or symptoms. This study aimed to review the published literature to identify data associated with treatments that are licensed for use in patients ineligible for intensive therapy who do not maintain a response from their initial therapy. The study found that the drug gilteritinib was an option for the subgroup of AML patients with FLT3-mutated disease with an average life expectancy just under 1 year, while gemtuzumab ozogamicin was an option for a wider group of AML patients with a life expectancy just over 1 year. Between a fifth and a quarter of patients went on to receive a stem-cell transplant after treatment with one of these. With limited options, this patient group needs further attention; however, the availability of the previously mentioned treatments is promising. [ABSTRACT FROM AUTHOR]

Progression-free survival (PFS) is a common primary endpoint in newly diagnosed multiple myeloma (NDMM). Patients with NDMM typically have longer PFS and are more likely to achieve minimal residual disease (MRD) or complete response (CR) compared to patients with relapsed or refractory multiple myeloma. Response-based surrogate endpoints may hold value given the longer follow-up time required to evaluate PFS in NDMM. In this work, systematic literature reviews of Medline, Embase, and Cochrane databases (2010-06/2020) and relevant congresses (2018–2020) were performed to identify randomized clinical trials (RCTs) and real-world studies in NDMM reporting median PFS and objective response. Associations between PFS and each response endpoint were evaluated using Pearson's product-moment correlation weighted by sample size in each RCT arm. Unadjusted and adjusted weighted linear regression models were applied to estimate the gain in median PFS associated with each response endpoint. Statistically significant correlations were identified for median PFS with overall response rate (ORR; Pearson r = 0.59), CR (r = 0.48), stringent CR (sCR; r = 0.68), and MRD (r = 0.69). The unadjusted models estimated 0.50 (95% CI: 0.36, 0.64; p<0.001), 0.42 (95% CI: 0.25, 0.58; p<0.001), 1.05 (95% CI: 0.58, 1.52; p<0.001), and 0.35 (95% CI: 0.12, 0.58; p = 0.006) months of median PFS gained per point of ORR, CR, sCR, and MRD, respectively. Associations for median PFS remained statistically significant in models adjusted for age and treatment type with ORR (0.35, 95% CI: 0.21, 0.49; p<0.001), and adjusted for age and International Staging System risk stage with CR (0.29, 95% CI: 0.16, 0.41; p<0.001). Due to small sample size, adjusted models could not be constructed for sCR or MRD. Nevertheless, evidence of significant survival benefit (p<0.05) associated with MRD negativity and sCR was identified across real-world studies. These findings provide support for the use of response outcomes as surrogate endpoints to estimate PFS benefit in NDMM. [ABSTRACT FROM AUTHOR]

Background: The patient experience of multiple myeloma (MM) is multifaceted and varies substantially between individuals. Current published information on the patient perspective and treatment of MM is limited, making it difficult to gain insights into patient needs regarding the condition., Objective: In this review, a combined research method approach (ie, the review of published literature and social media posts) was undertaken to provide insight into patients' perspectives on the burden and treatment of MM, the impact of the COVID-19 pandemic, and the impact of MM on caregivers of patients with MM., Methods: Targeted searches of PubMed and PsycINFO were conducted from November 16, 2010, to November 16, 2020; in parallel, patient-reported information derived from social media posts from 6 patient advocacy websites and YouTube were searched. The review of patient advocacy websites and YouTube targeted patient-reported information from patients with a self-reported diagnosis of MM who discussed their experience of MM and its treatments., Results: A total of 27 articles and 138 posts were included (patient-reported information included data from 76 individuals), and results from both sources showed that patients experienced a variety of symptoms and treatment side effects, including neuropathy, fatigue, nausea, and back pain. These can affect areas of health-related quality of life (HRQOL), including physical functioning; emotional, psychological, and social well-being; the ability to work; and relationships. Patients valued involvement in treatment decision-making, and both the patient-reported information and the literature indicated that efficacy and tolerability strongly influence treatment decision-making. For patients, caregivers, and physicians, the preference for treatments was strongest when associated with increased survival. Caregivers can struggle to balance care responsibilities and jobs, and their HRQOL is affected in several areas, including emotional-, role-, social-, and work-related aspects of life. The COVID-19 pandemic has challenged patients' ability to manage MM because of limited hospital access and restrictions that negatively affected their lives, psychological well-being, and HRQOL. Unmet patient needs identified in the literature and patient-reported information were for more productive appointments with health care professionals, better-tolerated therapies, and more support for themselves and their caregivers., Conclusions: The combination of published literature and patient-reported information provides valuable and rich details on patient experiences and perceptions of MM and its treatment. The data highlighted that patients' HRQOL is impeded not only by the disease but also by treatment-related side effects. Patients in the literature and patient-reported information showed a strong preference for treatments that prolong life, and patients appeared to value participation in treatment decisions. However, there remain unmet needs and areas for further research, including treatment, caregiver burden, and how to conduct appointments with health care professionals. This may help improve the understanding of the journey of patients with MM., Plain Language Summary: Multiple Myeloma (MM) is the second most common cancer that affects blood cells. In this study, researchers wanted to know patients' views on the effects of MM and the treatments they received. Researchers also looked at the impact of the COVID-19 pandemic on patients' treatment and the impact of MM on caregivers. To this end, the researchers reviewed information from 27 published studies and 138 social media posts by 76 patients with MM. Patients commonly reported nerve pain, tiredness, feeling sick, and back pain caused by MM and the treatments they received. The effects of MM and treatments affected patients' physical function; emotional, psychological, and social well-being; ability to work; and relationships. The researchers found that patients wanted to be involved in decisions related to their treatment. The effectiveness against MM and known negative effects strongly influenced the choice of treatments for patients. Increased survival was the strongest factor in the choice of treatment for patients, caregivers, and doctors. Researchers found that the emotional-, role-, social-, and work-related aspects of caregivers' lives were affected by caring for patients with MM. The COVID-19 pandemic also affected the ability of patients to manage their MM because of limited hospital access and the effects of restrictions that impacted their lives and psychological well-being. Finally, the researchers identified some areas requiring improvement, including unproductive appointments with health care professionals, the need for treatments with fewer negative effects, and more support for patients with MM and their caregivers. This information may be useful to improve and understand the experience of patients with MM., (©Matthew Lyall, Rebecca Crawford, Timothy Bell, Carla Mamolo, Alexander Neuhof, Courtney Levy, Anne Heyes. Originally published in JMIR Cancer (https://cancer.jmir.org), 22.09.2022.)

Aim: Assess the suitability of standard parametric, piecewise and mixture cure models (MCMs) for modeling long-term survival of acute myeloid leukemia patients achieving remission following treatment with gemtuzumab ozogamicin (GO) + standard chemotherapy (SC) or SC alone. MCMs can model survival data comprising of statistically cured (patients in long-term remission) and uncured patients. Materials & methods: Models were fit to patient-level data corresponding to individual treatment arms. Results: Visual inspection showed that MCMs fit the clinical data best. Survival modeling with MCMs showed that treatment with GO + SC versus SC alone results in higher statistical cure rates for event-free survival (rates: 26-35% vs 21-23%) and overall survival (rates: 48-52% vs 38-44%). Conclusion: MCMs are well suited to modeling long-term survival in acute myeloid leukemia patients. Clinical trial registration: NCT00927498 (ClinicalTrials.gov).