Citations

Abstract Background: Population registries and the Alliance co-operative group database have highlighted racial disparities in AML survival attributed to differential prevalence and impact of oncogenic drivers on disease biology. However, the small number of Black patients with well-annotated genomic profiles limits the validity of these findings. The current study leverages ECOG-ACRIN cytogenetic and outcomes data from newly diagnosed adult AML patients treated on intensive chemotherapy-based clinical trials over three decades. Methods: Self-reported race was categorized as White, Black or Other. Descriptive statistics were used to summarize baseline characteristics using the Wilcoxon rank-sum and Fisher's exact tests. Multivariable Cox proportional hazards regression models evaluated the association between race and survival outcomes adjusting for age, hemoglobin, platelet count, white blood cell count, blast percentage, performance status and ELN cytogenetic risk score (RS). All Cox models were stratified by protocol. Subgroup analyses of overall survival (OS) and disease-free survival (DFS) were performed using Kaplan-Meier curves stratified by race using log-rank tests. All statistical tests were two-sided. Analyses included only patients with complete data for the variables of interest. Results: Data was collected across 10 phase II and III interventional trials for newly diagnosed adult AML that accrued patients between 1984 and 2019. The study population included 3469 White, 184 Black, and 156 Other patients with a Black representation of 1.1-11% across trials. Blacks were significantly younger at diagnosis with a median age of 47.9 years compared to 53.5 years in Whites (p<0.001). Racial groups were well matched for gender and performance status. Black race was an independent prognostic factor for inferior OS (HR 1.212, CI 1.01 – 1.453; p = 0.0383) and DFS (HR 1.313, CI 1.05-1.641; p = 0.017). Complete cytogenetic results were available for 117 Black and 2162 White patients and revealed no significant racial differences in the distribution of ELN 2017 cytogenetic RS, although core binding factor AML was non-significantly enriched in Black patients (12.8% vs 8.3%). No difference was observed between Blacks and Whites in the prevalence of complex karyotype (CK), CK with -5/del(5q), -7/del(7q), or -17/del(17p), and AML-MRC including +8 and del(20q). Notably, the ELN 2017 cytogenetic RS effectively predicted OS in Black (57.8 vs 14.2 vs 5.8 months in favorable, intermediate and adverse RS, p = 0.018), and White patients (60.1 vs 15.2 vs 7.1 months, p < 0.0004 for Whites) but only predicted DFS for White AML patients (p < 0.0001 for Whites, p=0.48 for Blacks). In patients with molecular data for FLT3-ITD (n=1218), CEBPA (n=576), TP53 (n=572), or NPM1(n=683), no racial difference in the prevalence of these mutations was observed. However, NPM1 mutations were associated with inferior OS in Blacks compared to Whites (19.1 vs 8.9 months; p = 0.0095). Black and White AML patients had similar responses with complete remission rates of 58.2% vs 57.5%, p=0.55, and treatment tolerability with 30-day mortality of 7.1% vs 8.9%, p=0.50. However, consolidation approaches differed significantly. Among patients that underwent stem cell transplant (SCT), a significantly higher percentage of White patients received allogenic SCT compared to Blacks (48.5% versus 37.1%, p <0.01). Conclusions: This study represents one of the largest race-based comparisons of cytogenetic abnormalities and clinical outcomes in prospective trials of intensive chemotherapy in AML . Our data confirms the independent prognostic relevance of race in AML survival and validates the predictive ability of the ELN 2017 cytogenetic RS for OS across racial groups. There is ancestry-based attenuation of the survival benefit of NPM1 mutations as previously reported, underscoring the need to tailor the current treatment approach to NPM1 mutated AML based on race. The availability of NGS data limited the genomic analysis to a subset of patients. Future studies should examine the depth of treatment response incorporating MRD biomarkers and explore the effect of race on co-occurring mutations and the leukemic stem cell transcriptome to better explain the observed disparities. Finally, persistent disparities in access to allo-SCT even within the context of clinical trials reinforces the need to address diversity in the stem cell donor pool and social barriers to transplant.

Abstract Background: Chemotherapy-induced cardiomyopathy (CIC) is a serious, and often irreversible complication in patients treated for hematologic malignancies. While therapies for hematologic malignancies continue to evolve, data on trends in in-hospital mortality among patients with concurrent hematologic malignancies and CIC are limited, and disparities by race and sex remain poorly characterized. This study examines national trends and demographic disparities in in-hospital mortality among patients with hematologic malignancies who developed CIC. Methods: The United States (U.S) National Inpatient Sample (NIS) from 2016 to 2020 was queried for patients diagnosed with malignant hematologic and lymphoid neoplasms who also developed CIC. Hematologic malignancies were identified using ICD-10 codes C81–C96, which include: C81 for Hodgkin lymphoma; C82–C86 for non-Hodgkin lymphomas; C88 for malignant immunoproliferative diseases (e.g., Waldenström macroglobulinemia, heavy chain disease); C90–C95 for leukemias of lymphoid, myeloid, monocytic, mixed, and unspecified cell types; and C96 for other or unspecified malignant neoplasms of lymphoid, hematopoietic, and related tissue. CIC was identified using ICD-10 code I42.7. The study was exempt from institutional review board approval as the NIS database contains deidentified patient information. Multivariable regression analysis was performed to determine the odds of in-hospital mortality among patients with hematologic malignancies who developed CIC. Multivariable logistic regression followed by marginal effects was used to plot yearly trends in in-hospital mortality. All the outcomes were adjusted for gender, race, Charlson comorbidity index and hospital characteristics. P < 0.05 was used to determine statistical significance. The analysis was performed on STATA 16 software. Results: The study identified a total of 3,021,434 hospitalizations with hematologic malignancies, of which 11,115 (0.004%) had secondary diagnosis of CIC (mean age = 56.5 years, 52.5% males). Among 11,115 patients with hematologic malignancies who developed CIC, 740 (6.6%) patients died during the hospitalization. Multivariable logistic regression followed by marginal effects estimated a decrease in adjusted in-hospital mortality trend from 6.5% in 2016 to 4.3% in 2020. However, this decreasing mortality trend was not statistically significant after adjusting for gender, race, Charlson comorbidity index, and hospital characteristics (OR: 0.93; 95% CI: 0.83 – 1.05; trend p = 0.260). In-hospital mortality did not differ significantly between male vs. female patients with hematologic malignancies who developed CIC (OR: 1.02; 95% CI: 0.72 – 1.43; p = 0.921). There was no difference in overall in-hospital mortality of patients of White (reference) vs. Black (OR: 1.12; 95% CI: 0.72 – 1.76, p = 0.61) or Hispanic (OR: 0.63; 95% CI: 0.32 – 1.25, p = 0.18) race. However, males of the Black race demonstrated a lower in-hospital mortality vs. males of the White race (OR: 0.26; 95% CI: 0.09 – 0.77, p = 0.01). In addition, females of the Black race showed a higher in-hospital mortality vs. females of the White race (OR: 2.43; 95% CI: 1.40 – 4.25, p <0.01). Conclusions: In patients with hematologic malignancies who developed CIC, overall in-hospital mortality did not differ significantly by race alone. However, on sex-based stratification, Black males had lower in-hospital mortality compared to White males, while Black females had higher mortality than White females. These differences highlight potential race–sex disparities in outcomes that warrant further investigation.

Abstract Background : Type 2 diabetes and Multiple myeloma are becoming a growing cause of worry among aging populations. Type 2 diabetes and Multiple myeloma share many risk factors like age, obesity, and chronic inflammation. It is also found that diabetes may influence the worsening of multiple myeloma. Hence it becomes crucial to understand the epidemiological intersections between the two conditions in order to optimise treatment and lower death rates. This study assesses the trends in mortality in patients with Type 2 diabetes and Multiple myeloma in the United States from 1999-2023. Methods : We analyzed death certificates of adults aged>45 years' from the CDC-WONDER database with Type 2 diabetes (ICD-10 codes: E10-14) and Multiple myeloma (ICD-10 codes: C90) from 1999-2023. Age-adjusted mortality rates (AAMR) per 100,000 population were stratified by gender, race, census region, year and age. Join-Point analysis was performed to estimate annual percent change (APC) and average annual percent change (AAPC) in mortality trends, along with 95% confidence intervals (CIs). Results: Between 1999 and 2023, Type 2 diabetes and Multiple myeloma caused 22,467 deaths in patients aged>45 years. The overall AAMR increased from 0.647 in 1999 to 0.886 in 2023. Demographically, AAMR among the men increased significantly from 0.827 to 1.205 (AAPC: 1.22; 95% CI: -1.02 to 3.52). Although experiencing a lower mortality as compared to males, females also experienced a surge in mortality from 0.563 to 0.633(AAPC: 0.90; 95% CI: -0.11 to 1.93). In terms of race, mortality increased among the Non-Hispanic (NH) Black or African Americans from 1.942 to 2.158 (AAPC:0.60 ; 95% CI: -0.06 to 1.26), moreover the AAMR in the Hispanics increased from 0.986 to 1.099 (AAPC: 0.84; 95% CI:-0.05 to 1.73) while those among the white community increased from 0.493 to 0.679 (AAPC: 0.87; 95% CI -1.13 to 2.91). Geographically, regions in the South showed the highest overall AAMR (0.760) followed by the West (0.748), followed by the Midwest(0.731), and the Northeast (0.617). Between the urban and rural areas, rural areas had a higher AAMR as compared to the urban areas with an overall AAMR of 0.809. When stratified according to states, AAMRs varied highly from the highest in Columbia to the lowest in California. Conclusion: The overall mortality rates for Type 2 diabetes and Multiple myeloma increased between the years 1999-2023. The greatest change was seen in males, regions in the Northeast, racially in NH Blacks and the rural areas.

Abstract Introduction: The CAR-T therapies ide-cel and cilta-cel are approved for patients (pts) with relapsed/refractory multiple myeloma (RRMM). The aim of this study was to determine the incidence, subtypes, and associated risk factors for subsequent primary malignancies (SPMs) in MM pts treated with CAR-T therapy in the real-world setting. Methods: A retrospective, multicenter observational cohort study was conducted of pts who received CAR-T therapy between May 2021 and Dec 2024 at 15 centers within the US Multiple Myeloma Immunotherapy Consortium. Logistic models were used for univariable analyses of invasive SPMs (excluding non-melanoma skin cancers). Variables significant at p < 0.10 were included as candidate variables in the multivariable analysis. Time to event endpoints were analyzed using Kaplan-Meier curves. Results: Of n=1460 CAR-T recipients, median follow-up from the time of CAR-T infusion for the entire cohort, ide-cel, and cilta-cel pts was 13.1, 16.9, and 10 months, respectively. A total of 55 invasive SPMs were noted in 53 pts (SPM incidence 3.6%). The incidence rate of SPMs was 4.55 per 1,000 person-years, based on 53 SPMs occurring over 11,646.14 person-years (calculated from CAR-T to the SPM diagnosis, death, or last follow-up). Baseline characteristics were similar for pts with no SPM versus SPM including: age at CAR-T (median 67 vs 65), female (36% vs 43%), Black (13% vs 16%), prior autologous transplant (87% vs 80%), lenalidomide for ≥2 years (31% vs 27%), high risk cytogenetics (23% vs 29%), and known clonal hematopoiesis (7.5% vs 9.9%). Differences were observed in baseline characteristics among pts with SPM versus no SPM for ≥2 prior alkylator lines of therapy (LOT) (82% vs 60%, p=0.002) and median prior LOT (6 vs 5, p=0.008). There was a trend for more patients with SPMs being age ≥70 (35% vs 37%, p=0.074). Of the 53 SPMs, 26 (49%) were myeloid (MDS or AML), 19 (35.8%) were solid, 7 (13.2%) were of T-cell origin, and 1 was a B-cell lymphoma. Of the T-cell SPMs, three were of T-LGL, though one of the T-LGL pts later developed an invasive CNS T-cell lymphoma (CAR-negative). There were four cases of confirmed CAR-positive T-cell SPMs (all pts treated with cilta-cel), of which two were indolent T-cell lymphoma of the GI tract and two were cutaneous PTCL. There was no difference in total incidence of SPMs among pts who received ide-cel (total=4.4%; myeloid=2.2%, T-cell=0.04%) versus cilta-cel (total=3%; myeloid=1.4%; T-cell=0.5%) (p=0.21). Median OS from the time of CAR-T therapy was 40.8 months for pts without SPM compared to 27.6 months for pts with SPM (p=0.4). Median OS did not differ by myeloid, solid, and T-cell subgroup: 26.4, 37.2, and 24 months, respectively (p=0.21). Median time from CAR-T cell to SPM was 12 months overall, and by subtypes of myeloid, solid, and T-cell was 13.2, 9.6, and 9.6 months, respectively (p=0.74). There was no difference in time to any SPM among pts receiving ide-cel versus cilta-cel (p=0.61). An earlier time to diagnosis of myeloid SPM was observed for cilta-cel versus ide-cel (4.8 vs 20.4 months; p=0.003). Median OS from the time of diagnosis of any SPM, myeloid, solid, or T-cell SPM was 9.6, 7.2, 15.6, and not reached in months, respectively (p=0.006), demonstrating that pts diagnosed with myeloid subtype SPM had inferior OS from the time of their SPM diagnosis compared to other subtypes. The cause of death of 4/11 myeloid SPM pts was the myeloid SPM itself. In univariable analysis for the entire cohort, age ≥70 (p=0.079), ≥5 prior LOT (p=0.012), and ≥2 prior alkylator LOT (p<0.001) were associated with higher risk for SPM. In multivariable analysis, ≥2 LOT containing alkylators was associated with higher risk of SPM (p=0.005). For the univariable analysis of the myeloid subgroup, ≥2 prior alkylator LOT (p=0.016) and ≥2 years of lenalidomide maintenance (p=0.063) were associated with higher risk of SPM. In multivariable analysis, ≥2 years of lenalidomide (p=0.065) was associated with a trend toward increased risk of myeloid SPM. Conclusions: With a median follow up of 13.1 months, the incidence of developing a SPM following CAR-T in pts with RRMM was 3.6%, of which approximately half were myeloid malignancies. There was no difference in SPM incidence when comparing the two CAR-T products. Pts treated with ≥2 alkylator LOT had a higher risk of SPM in multivariable analysis and may warrant additional monitoring for SPM development.

Abstract Background Secondary central nervous system lymphoma (SCNSL) is a rare but significant complication, affecting approximately 2–10% of patients with diffuse large B-cell lymphoma (DLBCL), often leading to poor outcomes. The CNS-International Prognostic Index (CNS-IPI) remains a widely adopted tool for estimating CNS relapse risk; however, recent advances in molecular profiling and evolving treatment paradigms have challenged the adequacy of CNS-IPI alone in guiding risk assessment. This study evaluates the prognostic relevance of CNS-IPI in conjunction with molecular and clinical factors, specifically cell-of-origin (COO), gene expression, and frontline treatment regimens. The aim is to refine risk stratification and identify patients at highest risk for SCNSL. Method Building on our previous study, we analyzed data from patients with newly diagnosed DLBCL between 2002 and 2023, enrolled in the Mayo Clinic/University of Iowa Lymphoma Molecular Epidemiology Resource. Patients with primary CNS lymphoma, CNS involvement at diagnosis, or who received CNS-directed therapy were excluded. COO was determined using the Hans algorithm and/or Nanostring profiling. Multivariate cause-specific Cox regression models were used to estimate hazard ratios (HR) and 95% confidence intervals (CIs) for predictors of CNS relapse that were measured at the time of initial DLBCL diagnosis. Cumulative incidence with competing risks and cause-specific Cox models were used to analyze relapse risk. Result We included 2137 patients in our analysis, median age at diagnosis was 63 (IQR 53-72), with 41.6% (n=890) females. The albumin level was below normal in 32.5% (n=350), 64.0% (n=1367) had CNS-IPI of intermediate/high, 37.5% (n=586) had non-germinal center B-cell (GCB) COO, and 14.5% (n=309) were double expressor positive. At a median follow-up of 83 months (IQR 42 -143), 82 (3.8%) SCNSL relapses were observed; the 3 and 5 yrs cumulative incidence for SCNSL from time of DLBCL diagnosis were 3.7% (95% CI 3.0-4.7) and 3.8% (95% CI 3.1-4.8) respectively. In models accounting for death as a competing risk, the 5-year cumulative SCNSL incidence estimate for patients with a CNS-IPI low was 1.5% (95% CI 0.8-2.7), Intermediate was 4.9% (95% CI 3.7-6.4), and high was 6.1% (95% CI 3.8-9.6). The 5-year cumulative SCNSL incidence estimate for patients with non-GCB COO was 5.2% (95% CI 3.6-7.4) compared to 2.4% (95% CI 1.6-3.6; p=0.001) for GCB patients, and the 5-year cumulative SCNSL incidence for double expressor positive patients was 8.6% (95% 5.8-12.6) compared to 1.5% (95% CI 0.8-2.7; p<0.001) for double expressor negative patients. In a multivariable model (including CNS-IPI, COO, double expressor, treatment group, extranodal involvement, and albumin group), CNS-IPI intermediate (HR 2.85 [1.58-5.14]; p<0.001) and high (HR 4.31 [2.15-8.65]; p<0.001), non-GCB COO (HR 2.36 [1.37-4.06]; p=0.002], double expressor (HR 5.56 [2.88-10.73]; p<0.001), and below normal albumin (HR 1.89 [1.02-3.50]; p=0.042) were independently associated with increased risk of SCNSL. The majority of the SCNSL relapse occurred within the first 2 years after DLBCL diagnosis; 81.7% (n=67), with only 6.1% (n=5) occurring after 5 years. For patients who developed SCNSL, the median OS from the time of SCNSL diagnosis was 24 months (95% CI 17-34), with 5 years OS of 31% (95% CI 22-43). These findings are being validated using an external, international cohort, and final analysis will be presented at the time of presentation at ASH. Conclusion In this large, prospectively followed cohort with long-term follow-up data, SCNSL remains a rare but devastating complication of DLBCL, with a 5-year cumulative incidence of 3.8% and it is associated with very poor long-term survival. While CNS-IPI remains a strong predictor of SCNSL risk, our study identifies non-GCB COO and double expressor phenotype as independent, additive molecular risk factors. These findings suggest that current risk stratification tools may underestimate the risk of CNS relapse in molecularly defined high-risk subgroups. Considering the poor outcomes linked to SCNSL and the absence of a connection with frontline treatment types, future research should aim to enhance risk prediction models through molecular profiling and explore prophylactic strategies to reduce the likelihood of SCNSL.

Abstract Introduction: Epcoritamab (epco) and glofitamab (glofit) are bispecific antibodies (BsAbs) approved for the treatment of patients (pts) with relapsed or refractory (r/r) large B-cell lymphomas (LBCLs). Their use is associated with relatively high response rates, with some patients experiencing prolonged remission. It is unclear whether continuous treatment beyond 12 months for pts in remission is beneficial, as continued immunosuppression may result in additional toxicity. We sought to report the outcomes of pts with prolonged remission and survival following BsAb administration. Methods: We performed a multicenter retrospective study including 21 US centers evaluating pts with r/r LBCLs receiving commercially available epco or glofit between 2023 and 2025. Baseline characteristics and outcomes were extracted from medical records. Efficacy and survival outcomes were assessed by site investigators and included overall response rate (ORR), complete and partial response (CR, PR) rates. Pts who responded to BsAbs and had ≥365 days of follow-up from initiation of BsAb treatment were included in the analysis. Results: As of May 15, 2025, a total of 312 pts with r/r LBCLs were treated with BsAbs (epco n=193, glofit n=119) with a median age of 66 years (interquartile range [IQR] 59-73) at BsAb start. Most were male (64.5%), had advanced stage disease (77.4%) and had ECOG performance status of ≤1 (93.3%) at BsAb start. Of 207 pts who had initiated treatment with BsAb ≥12 months prior to data cutoff, we identified 31 pts (15.0%) who had a response to BsAbs (19 epco, 12 glofit) and were alive without progression at 12-months post-BsAb initiation and included them in this landmark analysis. Of the cohort of 19 pts treated with epco, 6 discontinued due to reasons other than disease progression including CAR-T cell therapy (n=2), secondary malignancy (n=2), allogeneic transplant (n=1), or other reasons (n=1). Thirteen of 19 pts received ≥12 months of epco treatment, and, with a median follow-up of 16 months from the start of BsAb, 12 of 13 pts continued receiving epco beyond 12 months with one pt discontinuing after 12 months (observed for an additional 41 days prior to censoring). Of the cohort of 12 pts treated with glofit, 8 pts were observed after completing all planned therapy and 4 patients underwent allogeneic transplant. Among all 31 BsAb-treated patients alive and in remission at 12 months, at the time of data cutoff, 5 pts (12.9%) had progressed (2 previously treated with epco and 3 with glofit). Three of the 4 pts who underwent allogeneic transplant after prior glofit treatment experienced disease relapse. A total of 24 pts (77.4%) were alive at the time of last follow-up, with the causes of death being disease progression (n=1), secondary malignancy (n=1), infection (n=1), and unknown cause (n=4). Conclusions: In this large cohort of r/r LBCL pts treated with BsAbs monotherapy in the standard of care setting, a relatively small proportion of pts (15%) achieve the 12 month PFS landmark. In the absence of robust evidence for what constitutes best practice, different strategies are employed, including continuation of BsAb, observation as well as consolidation with allogeneic transplant or CAR T-cell therapy. Additional follow-up will be reported to help guide clinical decision making regarding the optimal management strategy for this high risk pt population.

Abstract Purpose: Colorectal Cancer (CRC) is a leading cause of death from cancer globally. Surgery is the mainstay of treatment for localized CRC; however, little is known about survival outcomes following CRC surgery in low- and middle-income countries (LMICs). In this study, we examine the published literature for data on long-term outcomes following CRC resections in LMICs. Methods: We systematically reviewed PubMed, Web of Science, Embase, and Global Index Medicus for original research articles reporting survival data after CRC resection with curative intent in LMICs, published between January 2005 and May 2022. LMICs were defined according to the 2020 World Bank categories. We excluded studies without English full text or involving pediatric populations (<18 years), non-primary colorectal, benign disease, and endoscopic/transanal resection only. Studies from China dominated the published literature and were excluded. Abstracts and full texts were reviewed by two independent reviewers, and a third reviewer resolved conflicts. Disease-free survival (DFS) and overall survival (OS) data were extracted, and random effects modelling was used to estimate the pooled survival rates. Results: Our search returned 32,261 articles. After deduplication, 20,729 abstracts were assessed for eligibility, with 154 articles meeting inclusion criteria, representing a total of 20,589 CRC patients. 98 (63.6%) studies were from upper-middle-income (UM) countries, 55 (35.7%) from lower-middle-income (LM) countries and only one was from a low-income (L) country. Notably, only 27 (20%) of the 137 LMICs were represented in the literature. Turkey accounted for the highest frequency (29%) of included articles. Most (60%) of the studies were retrospective cohort design, and only three (3) were randomized controlled trials. The pooled 5-year OS estimate was 88% (95% CI: 77–95) for Stage I disease, 76% (69–81) for Stage II, and 57% (49–64) for Stage III. 5-year DFS estimates were 82% (71–90), 76% (67–84), and 59% (51–65) for stages I, II and III respectively. Survival rates varied considerably between income groups, with the strongest disparity seen with Stage III OS data at 18 months: 89% in UM, 86% in LM, and 50% in L (p=0.0005). Conclusion: With the rising incidence of CRC in LMICs, our work highlights the dearth of data on long-term outcomes following CRC operations in LMICs and emphasizes the urgent need for research capacity building, especially in low-income countries. Citation Format: Oluwasegun Afolaranmi, Thomas M. Diehl, Sehar Salim Virani, Qiuyu Yang, Kenechukwu Okwunze, Adel H. Khan, Nabiha Akhlaq Mughal, Daniel Schroeder, Sheida Pourdashti, Leslie Christensen, Sadaf Khan, Syed Nabeel Zafar. Survival Following Colorectal Cancer Surgery in Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis [abstract]. In: Proceedings of the 13th Annual Symposium on Global Cancer Research; 2025 Sep 16. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2025;34(12_Suppl):Abstract nr 84.