Citations

ABSTRACT The prognostic relevance of multiple myeloma (MM)‐defined high‐risk (HR) cytogenetic abnormalities in AL amyloidosis is incompletely defined. We retrospectively evaluated 517 newly diagnosed AL amyloidosis patients seen at Mayo Clinic between 2012 and 2021 who had baseline plasma cell FISH. HR cytogenetics were defined as t (4;14), t (14;16), t (14;20), del(17p), or 1q gain/amplification (+1q). HR abnormalities were identified in 151 patients (29%); +1q accounted for most HR cases (122/151, 81%). Compared with standard‐risk (SR), patients harboring +1q demonstrated a greater clonal disease burden, including higher dFLC and bone marrow plasma cells, greater intact immunoglobulin secretion, higher plasma cell proliferative index, and enrichment for modified SLiM‐CRAB features. Hematologic and organ response patterns of +1q patients were generally comparable to SR patients, whereas non‐1q HR patients had a higher proportion of early hematologic responses. Patients harboring +1q demonstrated significantly inferior overall survival (OS) compared with both non‐1q HR patients and SR patients (median OS 57 months vs. not reached vs. 120 months, p = 0.02). In multivariable piecewise Cox analysis, the adverse prognostic impact of +1q was most evident beyond 24 months from diagnosis (HR 2.89, 95% CI 1.64–5.09, p < 0.001), whereas non‐1q HR lesions were not independently prognostic. These findings suggest that +1q identifies a biologically distinct AL amyloidosis subset characterized by plasma cell–dominant features and inferior long‐term disease control. In contrast, other MM‐defined HR cytogenetic abnormalities appear to have limited prognostic relevance in AL amyloidosis.

Abstract Background Immigrant women experience disproportionate psychosocial stress driven by acculturation, socioeconomic hardship, discrimination, and transnational responsibilities. Despite evidence supporting culturally tailored stress‑management interventions, limited formative research has examined program preferences across diverse immigrant communities. Methods Using a community‑based participatory research (CBPR) approach, we conducted three language‑concordant focus groups (Somali, Spanish, English; n = 18) and a mixed‑methods survey (n = 88) with immigrant women in southeast Minnesota. Qualitative data were analyzed using constant comparative methods; quantitative data were summarized descriptively. Results Participants described intersecting stressors including caregiving burdens, financial insecurity, immigration‑related fears, bicultural identity strain, and transnational obligations (e.g., “Every day you are being told of problems back at home”). Barriers to discussing stress included stigma, limited culturally concordant care, religious norms discouraging emotional disclosure, and structural constraints such as lack of insurance (e.g., “How are you gonna pay for a therapist if you don't have health insurance?”). Coping strategies varied culturally but consistently emphasized social support, spirituality, and practical stress‑reduction techniques. Survey findings indicated strong preference for education on stress, stigma reduction, culturally and linguistically aligned support groups, and flexible delivery formats (in‑person, hybrid). Conclusions Immigrant women experience multifaceted stress shaped by minority stress processes and structural inequities. Findings highlight the need for culturally responsive, community‑informed stress‑management interventions that integrate education, social support, and flexible delivery modalities. These results directly inform adaptation of a stress‑management program for Somali, Spanish‑, and English‑speaking immigrant women.

Background Advanced chronic kidney disease (CKD) complicates anticoagulant treatment because thromboembolic and bleeding risks compete. We compared treatment outcomes for apixaban and rivaroxaban in adults with atrial fibrillation (AF) and stage 4/5 CKD. Methods Deidentified TriNetX records for patients treated with apixaban (n=49,698) and rivaroxaban (n=2660) underwent 1:1 propensity score matching (demographics, medications, procedures, laboratory values); 2533 matched pairs were identified (absolute standardized mean difference <0.10, indicating adequate balance). The smaller rivaroxaban cohort constrained matching; findings apply only to the matched population. Outcomes were assessed at 1, 3, and 5 years. Myocardial infarction (MI) findings were exploratory. P values were not adjusted for multiplicity. Results Gastrointestinal bleeding was lower for apixaban vs rivaroxaban (5-year: 9.3% vs 10.9%; relative risk [RR], 0.86; 95% CI, 0.71-1.02; P=.09). Cerebrovascular events were significantly higher for apixaban vs rivaroxaban at 3 years only (9.8% vs 7.9%; RR, 1.24; 95% CI, 1.01-1.53; P=.04); this association may reflect chance. Cerebral infarction was significantly higher for apixaban vs rivaroxaban at 1 year (3.0% vs 1.8%; RR, 1.61; 95% CI, 1.09-2.37; P=.02) and attenuated at 3 and 5 years. Rates of MI were nominally higher in the apixaban group. Five-year mortality risk was significantly lower for apixaban vs rivaroxaban (33.3% vs 36.1%; RR, 0.92; 95% CI, 0.86-0.10; P=.04) but differences in time-to-event survival were not significant. Conclusion Apixaban did not have greater bleeding risk than rivaroxaban and may be associated with lower gastrointestinal bleeding, a finding that requires further study. Isolated cerebrovascular, MI, and mortality findings require cautious interpretation. A mortality advantage for either drug was not established.

Abstract Background Synthetic control arms (SCAs) derived from historical trial data can complement randomized controlled trials (RCTs), particularly in oncology where feasibility, ethical, and cost constraints may limit conventional trial designs. However, their validity for overall survival (OS) remains uncertain. We evaluated the feasibility and limitations of constructing SCAs from the ARCAD metastatic colorectal cancer (mCRC) database across multiple treatment lines. Methods Seven landmark RCTs representing first-, second-, and third-line settings were selected. External control arms were constructed from ARCAD individual patient-level data using propensity score matching based on key clinical and biological variables from a validated ARCAD prognostic score, with adjustment for geographic region and time era when needed. A prespecified two-step benchmarking framework assessed: (1) control-arm OS reproducibility and (2) virtual trial comparisons between matched synthetic controls and original RCT experimental arms. Agreement was evaluated using hazard ratios (HRs) and Z-tests. Results A total of 28,022 patients met the inclusion criteria. ARCAD-derived SCAs were successfully constructed for all selected RCTs and closely reproduced control-arm OS. After matching, baseline characteristics were well balanced, with minimal differences between included and excluded patients. Virtual trials showed concordant treatment-effect estimates with the original RCTs, with a median absolute HR deviation of 0.05 and no significant differences by Z-tests (P&gt;.05). Survival outcomes were consistently reproduced across treatment lines. Conclusion ARCAD-derived SCAs reliably reproduced control-arm OS and benchmark treatment-effect estimates from landmark RCTs in mCRC. Despite limitations related to residual confounding and missing data, this framework supports benchmarking, trial design, and exploratory analyses when conventional control arms are impractical.

PURPOSE Cancer care capacity in sub-Saharan Africa (SSA) is constrained by late diagnosis and limited treatment access. Few funding mechanisms support innovative, locally led programs to address these challenges. A collaborative initiative was developed to strengthen oncology care through quality improvement (QI) projects. MATERIALS AND METHODS The program was developed by Global Bridges Oncology (GBO) at Mayo Clinic, Pfizer Global Medical Grants, and the African Organisation for Research and Training in Cancer. A committee composed primarily of African oncology experts guided the process. An RFP was disseminated across SSA in English, French, and Portuguese, inviting applications to improve diagnostic and therapeutic cancer care. Applications underwent a structured, two-stage review, with GBO providing technical support, expert guidance, and training resources. RESULTS The RFP generated 218 applications reflecting strong demand for oncology QI funding in SSA. After review, 17 projects representing 10 African countries were selected and awarded $1.1 million USD. Funded initiatives reflected four themes: oncology training and clinical practice improvements, early detection and accurate diagnostics, pediatric cancer care, and oncology nursing and palliative medicine. As of March 2026, 11 (65%) of 17 projects are complete, with 4,565 health care professionals engaged through direct training, conference dissemination, system adoption, and sensitization activities, and program-supported services were delivered to more than 47,300 patients. CONCLUSION This initiative demonstrates the feasibility of a competitive, regionally guided grant program to strengthen cancer care capacity. Early implementation outcomes, including measurable improvements in diagnostic delay, treatment adherence, and care network expansion, confirm that locally led QI initiatives can generate meaningful results across diverse institutional settings. By centering African leadership and supporting diverse QI projects, it advances equitable access to funding, capacity building, and sustainability planning.

Summary Iron deficiency (ID) is often overlooked in patients with haematological malignancies due to other potential aetiologies. Daratumumab, an anti‐cluster of differentiation 38 (anti‐CD38) monoclonal antibody, is commonly used for treating multiple myeloma (MM) in the upfront and relapsed/refractory settings. Although anaemia is a common haematological toxicity associated with daratumumab, the contribution of ID in MM patients has not been systematically investigated. We conducted a retrospective case–control study to evaluate the prevalence of ID in newly diagnosed MM (NDMM) patients. Cases were patients receiving daratumumab, ixazomib, lenalidomide and dexamethasone (Dara‐IRD, n = 55). We compared this group with an age‐ and sex‐matched cohort of patients with NDMM who received bortezomib, lenalidomide and dexamethasone (VRD, n = 20) as induction therapy. At 1‐year, nearly 50% of Dara‐IRD‐treated patients met the criteria for ID (ferritin <30 mcg/L) compared with none of the VRD‐treated controls. All Dara‐IRD‐treated patients had a decrease in ferritin at 1‐year from baseline compared with only 45% of VRD‐treated patients. These findings identify a marked clinical signal of ID among NDMM patients receiving daratumumab‐based treatment. Although the study design does not establish causality or exclude regimen‐related confounding, it highlights the need for increased awareness of the importance of monitoring iron status in MM patients treated with daratumumab‐containing regimens.

Abstract Objectives Embedded pragmatic clinical trials (ePCTs) are conducted as part of routine clinical care and therefore use data collected from real-world data sources, such as electronic health record systems and administrative claims. A common approach for using these types of data across all phases of trial conduct is to create a computable phenotype (an explicitly defined data query data, including specified data types, data codes, and logical parameters) to capture patients with a clinical condition, exposure, symptom, characteristic, treatment, or outcome of interest. Materials and Methods The Electronic Health Record (EHR) Core Working Group of the NIH Pragmatic Trials Collaboratory captured the experiences of investigators in developing, adapting, and applying computable phenotype definitions in their studies. Results Four case studies describe different approaches to developing and using computable phenotypes in pragmatic trials. Discussion We recommend: (1) developing computable phenotypes as part of a team with multiple areas of expertise; (2) appropriate validation; (3) dissemination of salient details regarding phenotype creation; and (4) capturing and reporting any modifications made to phenotypes during the conduct of the trial. Conclusion A range of issues and decisions influence how computable phenotypes are developed and used in pragmatic clinical trials. Multidisciplinary teams that understand the context of the data, including the reason the data are collected and potential sources of bias, are best suited for the development and validation of phenotypes for ePCTs.

Abstract Measurable residual disease (MRD) is a powerful prognostic tool in multiple myeloma, but predictors of achieving MRD negativity after autologous stem cell transplantation (ASCT) are not well defined. We studied 814 patients who achieved at least a very good partial response after ASCT between January 2016 and January 2023 and underwent MRD assessment by next-generation flow cytometry. Overall, 387 (48%) achieved MRD negativity after ASCT. The presence of t(11;14) (odds ratio [OR], 2.1; 95% confidence interval [CI], 1.4–3.2; P&lt; .01) and pretransplant response less than complete remission (OR, 2.1; 95% CI, 1.2-3.7; P&lt; .01) independently predicted MRD positivity. Patients who were MRD positive had inferior progression-free survival (PFS; hazard ratio [HR], 1.99; 95% CI, 1.53-2.58; P&lt; .001) and overall survival (HR, 1.62; 95% CI, 1.10-2.28; P = .009). Despite lower MRD-negative rate, 5-year PFS was similar among t(11;14) MRD positive (58%) and patients who were MRD negative (63%; P = .12). In patients who were MRD negative, the 5-year PFS was 73% in those without ≥2 HRCA compared with 55% in those with ≥2 HRCA (HR 1.9, 95% CI 1.2–3.3; P = .01). In the MRD-positive cohort, 5-year PFS was 53% in patients without ≥2 HRCA vs 17% in those with ≥2 HRCA (HR, 2.4; 95% CI, 1.6-3.6; P&lt; .01). In addition, higher residual clonal plasma cell burden within MRD-positive disease was associated with inferior PFS (HR, 2.4; 95% CI, 1.2-6.9; P = .002). This study highlights that the presence of t(11;14) independently predicts MRD positivity after ASCT, although it does not significantly affect prognosis in this subgroup.

Abstract Background Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome comprising multiple pathophysiological phenotypes. HFpEF trials have largely enrolled diverse populations and reported average treatment effects, consistently yielding neutral results that may obscure drug-specific benefits within distinct subgroups. To address this issue, we employ an interaction-based that incorporates treatment-by-variable interactions to uncover drug-specific responses. Methods We leveraged four HFpEF clinical trials (TOPCAT, RELAX, NEAT-HFpEF, INDIE-HFpEF) and developed a framework comprising two complementary approaches. The first employed a prognostic responder model to evaluate whether conventional responder definitions reflect treatment-specific benefit or instead capture favorable clinical trajectories common to both treatment and placebo groups. The second used an interaction-based individual treatment effect (ITE) modeling to identify baseline variables that modify therapy effect, distinguishing drug-specific response from prognostic phenotypes. Results Although the prognostic responder model demonstrated good discrimination, further analisys suggested it primarily captured a prognostic signal associated with favorable clinical trajectories common to both treatment and placebo arms. In contrast, the ITE model identified distinct, drug-specific effect modifiers across trials (cardiorenal-inflammatory for spironolactone (TOPCAT), NO-mediated anti-inflammatory for isosorbide mononitrate (NEAT-HFpEF), afterload-reducing for inorganic nitrite (INDIE-HFpEF), and anti–volume-overload for sildenafil (RELAX). Each ITE model demonstrated significance only within its own trial suggesting drug-specific signal. Conclusions The proposed method identifies mechanism-specific effect modifiers, and uncovers clinically meaningful heterogeneity in treatment response, which is not captured by conventional MCID-based approaches. Although exploratory, these findings support phenotype-guided therapy in HFpEF and argue for phenotype-informed trial design to enhance treatment-effect detection and therapy targeting. Graphical Abstract