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Endometriosis in Carriers of a Pathogenic Variant in BRCA1 or BRCA2: A Descriptive Analysis of a Large Multicentral BRCA Carrier Cohort
Mokhber, Aghaghia , Stewart, Bethany , Gronwald, Jacek , Cybulski, Cezary , Kim, Raymond H. , Karlan, Beth Y. , Bordeleau, Louise , Cajal, Teresa Ramón y , Pal, Tuya , Eisen, Andrea , Couch, Fergus J., Zakalik, Dana , Tung, Nadine, Fruscio, Robert , Sun, Ping, Lubiński, Jan , Narod, Steven A. , Stewart, Brynne , Gronwald, Jacek , Cybulski, Cezary , Kim, Raymond H , Karlan, Beth Y , Ramón Y Cajal, Teresa , Pal, Tuya , Eisen, Andrea , Fruscio, Robert , Lubinski, Jan , Narod, Steven A , Bordeleau, Louise , Terry, Kathryn L. , Couch, Fergus J. , Tung, Nadine , Foulkes, William D. , Aeilts, Amber M. , Sun, Ping , Kotsopoulos, Joanne

Current Oncology | December 5, 2025 | Volume: 32 | Issue: 12 | Pages: 675

10.3390/curroncol32120675 | PMID 41440203 Get It

Background: Endometriosis affects an estimated 10% of reproductive-aged women and is associated with increased ovarian cancer risk. While BRCA1/2 mutations are established risk factors for ovarian cancer, their association with endometriosis remains unclear. This study aimed to characterize the prevalence and clinical features of endometriosis within a large cohort of BRCA mutation carriers. Methods: A descriptive analysis was conducted using data from a multi-center longitudinal cohort of women with pathogenic BRCA variants. Reproductive history and related factors were collected through self-reported questionnaires and compared. Results: Among 16,950 BRCA carriers, the prevalence of endometriosis was 2.4%. Compared to BRCA carriers without endometriosis, those with endometriosis were more likely to carry a BRCA2 mutation, have post-secondary education, and experience earlier menarche. BRCA carriers with endometriosis had a lower ovarian cancer prevalence than those without (10% vs. 15%, p < 0.001). Conclusions: This is the first study of this scale to report the prevalence of endometriosis among BRCA mutation carriers, which was lower than previously reported in the general population. The association between endometriosis and ovarian cancer does not appear to be generalizable to this population. Further prospective studies are warranted to clarify this association among BRCA mutation carriers.
Axicabtagene ciloleucel versus tisagenlecleucel in relapsed or refractory diffuse large B-cell lymphoma
Wong, Helen, Ezekwudo, Daniel , Arnason, Jon , Wong, Hermon Kha Kin , Tan, Jia Yi , Vignarajah, Aravinthan , Hilal, Talal

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 6282-6282

10.1182/blood-2025-6282 Get It

Abstract Introduction Chimeric antigen receptor (CAR) T-cell therapies have revolutionized the treatment of relapsed or refractory (R/R) diffuse large B-cell lymphoma (DLBCL), with axicabtagene ciloleucel (axi-cel) and tisagenlecleucel (tisa-cel) both being approved for use. Axi-cel was approved for second-line setting based on studies showing improved outcomes compared to high-dose salvage chemoimmunotherapy followed by autologous hematopoietic stem cell transplantation (HSCT). In contrast, tisa-cel did not demonstrate superiority over traditional salvage therapies in the second-line setting. Although both therapies are currently used in clinical practice, real-world comparative data on the safety of axi-cel versus tisa-cel remain limited. This retrospective study aims to compare the one-year outcomes of axi-cel and tisa-cel in patients with R/R DLBCL, offering practical insights into their outcomes outside of clinical trial settings. Methods A retrospective cohort study was conducted using TriNetX, a global federated health research network that provides access to electronic medical records from approximately 132 million patients, primarily in the United States. Adult patients (≥18 years) diagnosed with R/R DLBCL between January 1, 2022, and January 1, 2024, were identified using ICD-10-CM codes. Patients were categorized into two cohorts: those who received axi-cel and those who received tisa-cel. Propensity score matching (1:1) using nearest neighbor matching with a 0.1 pooled standard deviation caliper was performed for demographics, comorbidities, prior stem cell transplantation, and medications. Study outcomes included 1-year rates of all-cause mortality, all-cause hospitalization, cytokine release syndrome (CRS), immune effector cell-associated neurotoxicity syndrome (ICANS), anemia, neutropenia, thrombocytopenia, heart failure exacerbation, and acute myocardial infarction. Statistical analyses were conducted on the TriNetX platform, with significance set at P&lt;0.05 (two-sided). TriNetX calculates hazard ratios (HRs) and cumulative incidences (CIs) using R survival package version 3.2-3 with the proportional hazard assumption tested using Schoenfeld residuals. This study does not require Institutional Review Board review or informed consent due to the use of de-identified data. Results Our study identified 1,250 patients with R/R DLBCL, including 1,083 patients who received axi-cel and 167 who received tisa-cel. After propensity score matching (PSM), 160 patients were in the axi-cel group (mean age 61.7 ± 11.8 years; 38.8% female; 73.1% White, 8.1% African American) and 160 patients were in the tisa-cel group (mean age 62.3 ± 16.0 years of age; 39.4% female; 75.0% White, 7.5% African American). Axi-cel group had 45% lower risk of all-cause mortality compared to tisa-cel group (HR: 0.55; 95% CI: 0.34–0.87). However, axi-cel group was associated with higher risks of all-cause hospitalization (HR: 1.33; 95% CI: 1.04–1.70), CRS (HR: 2.19; 95% CI: 1.43–3.36), and ICANS (HR: 2.69; 95% CI: 1.42–5.11) compared to tisa-cell group. No significant differences were observed in anemia (HR: 1.18; 95% CI: 0.82–1.72), neutropenia (HR: 1.30; 95% CI: 0.96–1.77), and thrombocytopenia (HR: 0.96; 95% CI: 0.65–1.43) between these two treatment groups. Additionally, there were no significant differences in terms of septic shock (HR: 0.79; 95% CI: 0.42–1.47), pneumonia (HR: 0.64; 95% CI: 0.34–1.21), and heart failure exacerbation (HR: 1.16; 95% CI: 0.76–1.76) between axi-cel group and tisa-cell group. Conclusion This large and multicenter cohort study provides real-world valuable insights into the one-year comparative outcomes of axi-cel and tisa-cel in patients with R/R DLBCL. Our study suggested axi-cel was associated with lower mortality rate, despites its higher rates of all-cause hospitalization, CRS, and ICANS compared to tisa-cell. These findings highlight the importance of close monitoring and supportive care during the first year following CAR-T therapy to optimize patient outcomes. An important limitation of our study is the lack of data on the number of prior lines of therapy, which may have differed between treatment groups and could have influenced clinical outcomes. Future prospective studies with comprehensive clinical data and inclusion of lisocabtagene maraleucel (liso-cel) would be valuable to provide a more complete comparison across currently available CAR T-cell therapies.
Divergent immune programs in EBV⁺ PCNSL: A multiomic study of AR-PCNSL and cns-PTLD
Burgess, Melinda, Hawula, Zachary, Kempe, Sarah, Chowdhury, Rakin , Tuczko, Nella, Bradbury, Lucy, Antczak, Magdalena , Mehdi, Ahmed M. , Wight, Joel , Maguire, Alanna , Maguire, Alanna , Maguire, Alanna , Kempe, Sarah, Murigneux, Valentine , Swain, Fiona , Bradbury, Lucy, Hawkes, Eliza A. , Gould, Clare , Gandhi, Maher K. , Jiang, Sizun , Keane, Colm

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 457-457

10.1182/blood-2025-457 Get It

Abstract Background Primary CNS lymphoma (PCNSL) is a rare, aggressive diffuse large B-cell lymphoma confined to the CNS, with poor outcomes. Virally associated PCNSL, including AIDS-related PCNSL (AR-PCNSL) and CNS post-transplant lymphoproliferative disorder (CNS-PTLD) accounts for ~10% of cases and is strongly linked to EBV infection and poor prognosis. In our prior Blood (Gandhi et al. 2021) study, targeted sequencing showed that EBV⁺ PCNSL lacks canonical MYD88, CD79B, and PIM1 mutations and retains intact HLA class I/II, suggesting distinct immunobiology. However, questions remain regarding the immune microenvironment, broad mutational landscape, and intratumoral heterogeneity. Here, we present the first large-scale comprehensive integrated analysis of virally associated PCNSL to define subtype-specific vulnerabilities and therapeutic implications. Methods FFPE brain biopsies from 72 PCNSL patients (40 EBV- de novo PCNSL, 32 EBV+ PCNSL including 18 AR-PCNSL and 14 CNS-PTLD) were analyzed. Immune gene expression was profiled using the NanoString PanCancer Immune Panel. Whole exome sequencing (WES) defined recurrent driver mutations, tumor mutational burden (TMB), and LymphGen classification (excluding A53 subtype). Single nuclei RNA sequencing (snRNA-seq) using the 10x Genomics Chromium Flex platform characterized cellular heterogeneity. Results WES demonstrated a marked reduction in canonical mutations (MYD88L265P, CD79B, PIM1, CARD11) in CNS-PTLD (0%) and AR-PCNSL (29%) vs. de novo PCNSL (87.5%; p&lt;0.0001). AR-PCNSL had a distinct mutational signature when compared with CNS-PTLD and de novo PCNSL. NOTCH1/2 mutations were significantly enriched in AR-PCNSL (71%) vs. CNS-PTLD (9%) and de novo PCNSL (33%) (p&lt;0.01). NLRC5 mutations were present in 64% of AR-PCNSL cases, higher than the 25% observed in de novo PCNSL and were absent in CNS-PTLD. TMB was significantly elevated in AR-PCNSL (mean 26.27 mutations/Mb) vs. de novo PCNSL (17.22) and CNS-PTLD (11.01; p=0.0018) underscoring pronounced genomic instability and suggesting HIV may exert a mutagenic influence beyond immunosuppression. EBV driven subtypes lacked MCD features and were more often classified as ST2 or unassigned. Despite NOTCH2 mutations, AR-PCNSL cases were not classified under the BN2 subtype, further highlighting limitations in current molecular classification systems to accurately stratify virally associated PCNSL. Immune transcriptomic profiling revealed further distinctions within EBV+ PCNSL. CNS-PTLD showed increased expression of genes related to antigen presentation (p&lt;0.0001), cytotoxicity (p=0.0019), and T cell function (p&lt;0.0001), suggesting retained immune responsiveness. AR-PCNSL exhibited significant suppression of HLA class I/II genes (p=0.0027 and p&lt;0.0001 respectively), despite intact genomic loci, implicating post-transcriptional or epigenetic silencing. Immune cell composition revealed reduced macrophage infiltration and suppressed CD4 expression in AR-PCNSL. CNS-PTLD showed higher expression of checkpoint molecules LAG3, TIM3, and CTLA4, consistent with T cell exhaustion. snRNA-seq profiling of AR-PCNSL identified distinct malignant and non-malignant cell populations, including a reduced CD4⁺ compartment and altered microglial/macrophage populations and cell states compared to de novo PCNSL, corroborating bulk transcriptomic data, amongst other ongoing analysis. Conclusion This study represents the largest and most comprehensive immunogenomic investigation of virally associated PCNSL. AR-PCNSL and CNS-PTLD lack canonical PCNSL driver mutations and instead harbor distinct mutational signatures, including NOTCH pathway alterations in AR-PCNSL. These findings underscore divergent pathogenic mechanisms and support tailored therapies. AR-PCNSL is marked by high TMB, suppressed antigen presentation, and reduced CD4⁺ infiltration, indicating profound immune dysfunction. CNS-PTLD retains immune functionality but shows checkpoint upregulation and T cell exhaustion. Despite both being EBV-driven and CNS-restricted, they display distinct molecular and immunological programs, suggesting context specific EBV mechanisms. These findings challenge existing classification systems and support CNS-specific molecular frameworks to guide therapeutic interventions including BTK inhibition for NOTCH-mutated lymphoma. They lay the foundation for precision approaches in EBV⁺ PCNSL, including immune restoration, antigen-specific T cell therapy, and epigenetic modulation.
Multicenter assessment of absolute neutrophil counts (ANC) and white blood cell counts (WBC) in healthy participants with the erythrocyte duffy null phenotype or genotype
Attipoe, Gilles, Blechner, Michael, Cuker, Adam , Fadeyi, Emmanuel A. , Forbes, Victoria , Francischetti, Ivo M.B. , Gadi, Vijayakrishna K. , Haimed, Abraham , Han, Hyojeong , Haspel, Richard L. , Karafin, Matthew S. , Klein, Kimberly, Kumar, Priyadarshini , Kushnir, Margarita , Lewis, Michael R. , Li, Geling , Brzostek, Sabrina, Rose, Gary S. , Siddon, Alexa J. , Sillings, Christine N., Soni, Amy , Stevens, Don A., Szymanski, James , Takemoto, Clifford M., Warsame, Rahma , Zaghloul, Nibal, Belay, Yadashe, Fink, Aliza K., Frustace, Patricia, Tyson, Jamie, Havre, Nathalie van , Achebe, Maureen , Merz, Lauren E. , Barriteau, Christina M. , Blechner, Michael, Burks, Eric , Calhoun, Cecelia L. , Campbell-Lee, Sally , Chang, Vivian Y. , Chou, Stella T. , Fingrut, Warren , Godby, Richard , Godley, Lucy A. , Ilonze, Chibuzo , Jacquot, Cyril , Ji, Peng Cheng , Juskewitch, Justin E. , Kucine, Nicole , Levitz, David , Lewis, Michael, Mei, Zhen W. , Rose, Gary, Schultz, Corinna L. , Sloan, J. Mark , Story, Charlotte McIlwaine , Thompson, Alexis A. , Weyand, Angela C. , Wilson, Samuel , Belay, Yadashe, Tyson, Jamie

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 1074-1074

10.1182/blood-2025-1074 Get It

Abstract Introduction: The Duffy null variant (genotype or phenotype) is associated with lower circulating absolute neutrophil counts (ANC) without increased risk for infection. It is found in ~66% of people identifying as Black or African American vs &lt;1% of people of Asian or European ancestry. Many ANC reference intervals (RI) are not representative of the Duffy null population. There are no adult Duffy null WBC RI and no pediatric Duffy null ANC or WBC RI. Thus, we aimed to assess Duffy null ANC and WBC distributions as well as develop WBC and ANC RI for adults and pediatrics. Methods: Twenty-three sites across the United States collected samples with all sites excluding participants with conditions or medications that could impact ANC or WBC. Only Duffy null participants were included. Sex, race, ethnicity, age, sample collection type, practice setting, Duffy testing method, ANC, and WBC were recorded. The non-parametric method for determining lower limit of normal (LLN), upper limit of normal (ULN), and 90% confidence intervals (CI) around the limits was performed according to the Clinical and Laboratory Standards Institute guidelines. Specific ULN and LLN are not reported as these are preliminary data. The Mann-Whitney U test was used to compare sex and prior data; differences by age groups were assessed with Kruskal-Wallis test. Results: 316 participants 18+ years-old (y/o) were assessed of whom 62.3% (n=197) are female, 97.5% (n=308) identified as Black or African American, and 94.9% (n=300) identified as non-Hispanic. Median age was 47 y/o (IQR: 32-60.5). Median ANC was 2600/uL (IQR: 1860-3530; range: 400-7400); 28.6% (n=90) of participants had ANC &lt;2000/uL, 13.6% (n=43) had ANC &lt;1500/uL, and 2.5% (n=8) had &lt;1000/uL. The 90% CI around the LLN was 810-1070/uL and 5570-7130/uL around the ULN. Consistent with prior data, there was a difference in median ANC by sex (male: 2400/uL; female: 2710/uL; p=0.02). There was no significant difference between this ANC data and previously published Duffy null ANC data (p=0.28). Median WBC was 5.4x109/L (IQR: 4.4-6.5; range: 2.10-11.64) with 4.1% (n=13) of participants with WBC &lt;3.0x109/L. The 90% CI around the LLN is 3.68-4.30x109/L and 11.02-12.97x109/L around the ULN. 515 participants between 0-17 y/o were assessed with 51.8% (n=267) females, 94.8% (n=488) identified as Black or African American, and 94.0% (n=484) identified as non-Hispanic. Among pediatric participants, 56.8% (n=291) had ANC &lt;2000/uL, 38.7% (n=198) had ANC &lt;1500/uL, and 14.4% (n=74) had ANC &lt;1000/uL. For those &lt;1 y/o (n=29), median ANC was 950/uL (IQR: 840-1360; range: 111-3910). There are currently too few samples to predict ULN and LLN. Median WBC was 8.85x109/L (IQR: 7.03-10.16; range: 4.17-13.53). For those 1-5 y/o (n=143), median ANC was 1735/uL (IQR: 1100-2550; range: 207-5810) with a 90% CI around the LLN of 207-820/uL and 4020-5810/uL around the ULN. Median WBC was 6.72x109/L (IQR: 5.64-8.25; range: 3.68-12.97). For those 6-11 y/o (n=128), median ANC was 1590/uL (IQR: 1090-2470; range: 420-5490) with a 90% CI around the LLN of 420-910/uL and 4340-5490/uL around the ULN. Median WBC was 5.42x109/L (IQR: 4.45-6.70; range: 2.80-10.50). For those 12-17 y/o (n=215), median ANC was 2190/uL (IQR: 1460-2930; range: 204-5850) with a 90% CI around the LLN of 540-930/uL and 4350-5510/uL around the ULN. Median WBC was 5.06x109/L (IQR: 4.26-6.20; range of 2.04-9.91). There is a significant difference in ANC by age category (p&lt;0.0001). Conclusion: This is the first report of healthy pediatric Duffy null ANC and WBC data and the first large-scale verification of adult Duffy null ANC and WBC data. Final RI are expected in September 2025. Among adults with the Duffy null phenotype, ANC LLN are likely between 810-1070/uL. Pediatric ANC LLN are likely as low as 207-820/uL (1-5 y/o), 420-910/uL (6-11 y/o), and 540-930/uL (12-17 y/o). These findings redefine “normal” as a significant proportion of healthy participants have ANC or WBC below current RI or below thresholds typically defined as disease. Limitations include heterogeneous sample populations and collection methods. Future analyses will assess differences between collection sites or methods. Ultimately, this work lays the foundation for a more scientifically sound and equitable approach to medical care by ensuring that RI accurately reflects health for the entire community. Healthcare systems are strongly encouraged to adopt Duffy null-specific ANC and WBC RI.
PET-adaptive beacopp- versus ABVD-based therapies for advanced-stage (AS) classic Hodgkin lymphoma (cHL): Survival comparisons leveraging a multi-state model and analyzing the impact of a-hipi scores across the disease course
Zhu, Cui , Counsell, Nicholas , Upshaw, Jenica , Kirkwood, Amy A. , Advani, Ranjana H. , Gallamini, Andrea , Ghesquières, Hervé , Hutchings, Martin , Johnson, Peter , Advani, Ranjana H , Cui, Zhu, Rodday, Angie Mae , Tighiouart, Hocine , Rossetti, Sára , Li, Hongli , Casasnovas, Olivier , Cerhan, James R. , Federico, Massimo , Hawkes, Eliza A. , Hodgson, David , Link, Brian K. , Mou, Eric , Radford, John , Savage, Kerry J. , Stephens, Deborah M. , Zinzani, Pier Luigi , Maurer, Matthew J. , Rossi, Cédric , Evens, Andrew M. , Parsons, Susan K.

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 129-129

10.1182/blood-2025-129 Get It

Abstract Background: Despite recent therapeutic advances in AS cHL, PET-adaptive chemotherapy-based regimens remain a first-line treatment option, especially for patients (pts) without access to novel agents. Most PET-adaptive regiments start with either 2 cycles of escBEACOPP (escBEACOPP2) or ABVD (ABVD2) prior to interim PET assessment (iPET), followed by treatment de-escalation or intensification by iPET result. There have been no direct comparisons of escBEACOPP2 vs ABVD2 PET-adaptive regimens. Additionally, the AS-Hodgkin Lymphoma International Prognostication Index (A-HIPI) score (Rodday JCO 2023) has not been fully explored in escBEACOPP2 regimens. Therefore, we utilized multiple analytic approaches to compare outcomes of PET-adaptive escBEACOPP2 and ABVD2 regimens, while adjusting for and assessing the effect of the baseline A-HIPI score. Methods: Through the global HoLISTIC Consortium (www.hodgkinconsortium.com), we obtained individual patient data from 4 AS clinical trials of newly diagnosed cHL pts treated with PET-adaptive escBEACOPP2 (AHL2011) or ABVD2 (SWOG0816, RATHL, HD0607) regimens. Pts were restricted to age 18 to 65 years (y), stage IIB-IV, and PET-adapted treatment arms. Positive iPET was based on Deauville score &gt;3. Treatment effects of escBEACOPP2 vs ABVD2 (reference) on 5y progression-free survival (PFS) and overall survival (OS) were first evaluated using Cox models. Importantly, baseline disease risk was adjusted for using the 5y PFS or OS A-HIPI score (including stage, sex, age, bulk, lymphocyte count, albumin, white blood cell count), where higher scores indicate higher predicted risk (scale 1-100). The A-HIPI was modeled per 1 standard deviation (SD) increase. Our multistate model (MSM) comprised 4 health states: diagnosis, sustained remission at 1yr, treatment failure, and death from any cause. Pts all started in the diagnosis state and transitioned to other states without return to prior states. We assessed the impact of treatment on transitions (except binary sustained remission at 1y) that involved ≥5 pts per treatment group, adjusting for A-HIPI for all transitions. All effects are reported as adjusted hazard ratios (aHRs) with 95% confidence intervals (CI). Results: 2,381 AS cHL pts were included (n=372 for escBEACOPP2, n=2009 for ABVD2). For escBEACOPP2 and ABVD2 groups (median follow-up 60 and 56 months), respectively, the mean baseline A-HIPI scores (i.e., predicted 5y PFS event rate) were 25.1 (SD=6.3) and 22.9 (SD=6.5), the rates of positive iPET were 11.3% and 17.0%, 5y PFS was 87.0% and 79.5%, and 5y OS was 96.3% and 94.6%. In Cox models, escBEACOPP2 was associated with significantly improved PFS compared to ABVD2 (aHR=0.54, 95% CI=0.39-0.73); the aHR for OS was 0.67 (95% CI=0.37-1.19). Notably, higher risk A-HIPI score was associated with significantly worse PFS (aHR=1.42, 95% CI=1.31-1.54) and OS (aHR=1.60, 95% CI=1.47-1.76), independent of treatment. In the MSM, the effect of escBEACOPP2 compared to ABVD2 regimens was modeled in 3 transitions with adjustment for A-HIPI score: those treated with escBEACOPP2 had lower likelihood of treatment failure with (aHR=0.38, 95% CI=0.22-0.66) or without (aHR=0.61, 95% CI=0.40-0.92) sustained remission at 1y; the aHR for treatment failure to death was 0.55 (95% CI=0.25-1.22). Higher risk baseline A-HIPI score was associated with higher likelihood of treatment failure and death without sustained remission at 1y (aHR=1.43, 95% CI=1.28-1.61 and aHR=2.50, 95% CI=1.80-3.49, respectively). Furthermore, higher risk baseline A-HIPI score was associated with higher likelihood of treatment failure after achieving sustained remission at 1y (aHR=1.29, 95% CI=1.12-1.48) as well as death after treatment failure (aHR=1.54, 95% CI=1.27-1.86). Conclusions: Comparing newly diagnosed adult AS cHL PET-adaptive regimens with adjustment for baseline A-HIPI score, we found pts treated with escBEACOPP2 on AHL2011 had improved PFS versus pooled pt data from 3 ABVD2 trials. Using MSM, we further demonstrated that escBEACOPP2 was associated with a lower likelihood of treatment failure with or without achieving sustained remission at 1yr. In addition, baseline A-HIPI score was associated with PFS and OS, which was independent of treatment. Finally, higher baseline A-HIPI scores maintained prognostic impact throughout the disease course, including increased risk of treatment failure for pts in remission at 1yr and death after treatment failure.
An immune proteomic atlas of 300 million bone marrow cells reveals prognostic cell states in multiple myeloma
Karagkouni, Dimitra , Foley, Patrick , Network, MMRF Immune Atlas, Kumar, Shaji , Vij, Ravi , Cho, Hearn, Avigan, David, Kourelis, Taxiarchis , Ding, Li , Nanda, Shivani , Foley, Patrick, Acharya, Chaitanya R. , Pilcher, William , Gonzalez‐Kozlova, Edgar , Cheloni, Giulia , Parekh, Samir , Lonial, Sagar , Gnjatic, Sacha , Bhasin, Manoj K , Mulligan, George , Vlachos, Ioannis S.

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 5801-5801

10.1182/blood-2025-5801 Get It

Abstract Introduction Understanding the tumor immune microenvironment (TIME) in multiple myeloma (MM) is critical for identifying prognostic biomarkers and therapeutic targets. We hypothesized that specific immune cell populations within the bone marrow TIME are associated with clinical outcomes and could enhance patient stratification. To this end, we conducted the largest CyTOF-based immune profiling study to date in MM, profiling &gt;300 million bone marrow immune cells from patients enrolled in the CoMMpass study. Methods We analyzed &gt;1,000 bone marrow samples from ~700 newly diagnosed MM patients enrolled in the MMRF CoMMpass study (NCT01454297), using a harmonized protocol and 41-antibody CyTOF panel at five academic centers. The majority were baseline samples (n=671), with additional samples spanning up to 3.5 years post-diagnosis (n&gt;300). Each site contributed ~200 samples on average. The cohort included 40% females, with a median age of 63 years and BMI of 27.8. ISS stages were evenly distributed (I: 36%, II: 36%, III: 29%), and 84% had ECOG 0-1. Autologous stem cell transplant was performed in 58% of patients, and 22% received maintenance therapy. Results We profiled 311 million single cells across the cohort, identifying major immune compartments: Neutrophils (36.0%), CD4 T cells (19.7%), NK cells (9.9%), monocytes (7.6%), B cells (5.7%), and CD8 T cells (5.6%). Less abundant populations included dendritic cells, γδ T cells, plasmablasts, and pDCs. In our preliminary analysis with multivariate cox regression modeling, we identified clinical factors including stem cell transplant, ISS stage, and ECOG status, as independent predictors of overall survival (OS). After adjusting for age and sex, higher proportions of naïve B cells, pDCs, and γδ T cells were independently associated with improved OS, while CD4+ T cell abundance was positively associated with prolonged progression-free survival (PFS). In contrast, elevated neutrophil proportions were significantly linked to inferior OS and demonstrated a trend toward shorter PFS. Longitudinal immune profiling in more than 200 patients identified a gradual accumulation of naïve B cells and a pronounced post-treatment rise in CD45+ plasmablasts, highlighting persistent B cell activity as a candidate mechanism for sustained therapeutic efficacy. Conclusion This study presents the largest immune proteomic atlas in MM to date, linking TIME composition to clinical outcomes. A favorable immune landscape was marked by preserved humoral immunity (naïve B cells, plasmablast expansion), enrichment of pDCs and γδ T cells, and lower neutrophil abundance, collectively associated with improved survival outcomes. These findings lay the groundwork for immune-guided prognostication and highlight new opportunities for therapeutic targeting in MM. Ongoing analyses aim to further resolve baseline and longitudinal immune dynamics in relation to treatment response.
Real-world (RW) use of fixed-duration (FD) ibrutinib+venetoclax (Ibr+Ven) in patients (pts) with previously untreated chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL): Pooled analysis of REALITY-worldwide (WW) and REALITY-2 prospective coh
Thiéblemont, Catherine , Tchernonog, Emmanuelle, Miles, Oliver , Schwaner, Ingo , Consoli, Ugo , Mele, Anna , Farias, Danielle De, Scheliga, Adriana , Absi, Ahmed, Stemer, Galia, Hoffman, Mark A. , Koffman, Brian , Messahel, Boo, Srikanthan, Sowmya, Franceschini, Erin, Abbazio, Christopher, Xu, Ping , Tapprich, Christoph, Kavanagh, Claire, Fouad, Mohamed , Parisi, Lori, Wildgust, Mark, Munir, Talha , Miles, Oliver, Innao, Vanessa , Kay, Neil E. , Stemer, Galia, Tadmor, Tamar , Hoffman, Mark, Abbazio, Christopher, Ghia, Paolo

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 3903-3903

10.1182/blood-2025-3903 Get It

Abstract Introduction FD Ibr+Ven is approved as first-line (1L) treatment (tx) for CLL/SLL in 78 countries across Asia, Europe, the Middle East, and South America, plus Australia, Canada, and New Zealand. Clinical trials with up to 5.5 years (yrs) of follow-up have demonstrated progression-free and overall survival benefits of 1L FD Ibr+Ven in pts with CLL/SLL (Wierda WG, ASH 2024; Jacobs R, EHA 2024). Despite established clinical benefits, there is a lack of RW evidence on the effectiveness and tolerability of FD Ibr+Ven outside of clinical trial settings. Here we present pooled data from REALITY-WW and REALITY-2 to understand the usage, factors for therapy decision, clinical response, and safety of FD Ibr+Ven in routine clinical practice. Methods REALITY-WW and REALITY-2 are prospective observational cohort studies. REALITY-WW is an international study; REALITY-2 is conducted in Germany. Both included previously untreated pts with CLL/SLL from hospitals and medical institutions where Ibr+Ven was routinely used. The decision to start FD Ibr+Ven was made prior to and independent of pt enrollment. Pts aged ≥18 yrs with a confirmed diagnosis of CLL/SLL requiring 1L tx per iwCLL 2018 criteria received 3 cycles of Ibr, followed by 12 cycles of FD Ibr+Ven orally (Ibr, 420 mg/d; Ven, 5-week ramp-up to 400 mg/d). Primary end point was overall response rate (ORR) per iwCLL 2018 criteria. Secondary end points and outcomes of interest included tx-emergent adverse events (TEAEs), tumor lysis syndrome (TLS) risk, and factors associated with physician decision to initiate FD Ibr+Ven in routine clinical practice. Results At data cutoff (REALITY-WW: May 2025; REALITY-2: March 2025), 129 pts from both studies received FD Ibr+Ven (REALITY-WW, 81; REALITY-2, 48). The median (range) time on study was 6.4 (0.1-19.0) months (mo). Median (range) age was 65.0 (37.0-87.0) yrs, with 46.5% of pts aged &lt;65 yrs and 53.5% of pts aged ≥65 yrs; 62.8% were male. Median (range) time from diagnosis to FD Ibr+Ven initiation was 38.1 mo (0.1-238.0) and median (range) duration of tx was 6.0 mo (0.1-15.9) for Ibr and 3.2 mo (0.1-8.4) for Ven. A Cumulative Illness Rating Scale score of &gt;6 was observed in 12.6% of pts, with a higher score in pts aged ≥65 vs &lt;65 yrs (18.0% vs 6.9%). TP53 mutations were seen in 7.4% of pts; 52.8% had an unmutated IGHV status. ORR was assessed in the 44 pts with ≥ 1 post-baseline assessment in REALITY-WW. Of these, 39 showed a response by the end of 6 tx cycles (3 cycles of Ibr + 3 cycles of FD Ibr+Ven) and 5 had stable disease. ORR at 6 mo per iwCLL 2018 criteria (partial response [PR] with lymphocytosis [PR-L] or better) was 88.6% (95% CI, 79.3-98.0), including complete responses in 29.5%, PR in 34.1%, and PR-L in 25.0% pts. Among 129 treated pts, TEAEs were reported in 61.2%; diarrhea was the most common TEAE (14.0%). Serious TEAEs and grade 3/4 TEAEs were reported in 12.4% and 8.5% of pts, respectively. The most common grade 3/4 TEAE was myocardial infarction (1.6%). Dose reduction was observed in 13.2% (Ibr) and 2.3% (Ven) of pts, mainly due to tx-associated TEAE/toxicity/TLS. Rates of TEAEs leading to discontinuation, dose reduction, and interruption of ≥1 study tx were 4.7%, 10.9%, and 20.9%, respectively. At baseline (n=129), 18.6%, 45.0%, and 14.7% of pts had high, intermediate, and low TLS risk, respectively, while 20.2% were not assessed and 1.6% had missing data. After the 3-cycle Ibr lead-in, the distribution shifted to 9.3%, 24.8%, and 24.0%, respectively, with 14.7% not assessed and 27.1% missing. There were no TEAEs of TLS and no hospitalizations due to TLS. Seven pts (6 aged ≥65 yrs and 1 &lt;65 yrs) were hospitalized prophylactically for TLS. Prophylactic hospitalization was observed in 8.5% (11/129) of pts with high or medium TLS risk and impaired renal function for whom the Ven ramp-up was initiated; no pts were hospitalized due to laboratory/clinical TLS during the Ven ramp-up period. Physician questionnaire responses (n=126) indicated the most common factors associated with decision to initiate FD Ibr+Ven were administration route advantage (91.3%), overall health status (87.3%), anticipated superior efficacy of tx (84.1%), and general risk factors such as high tumor burden/genetic risk factors (81.0%). Conclusions Overall findings suggest that FD Ibr+Ven is an effective and safe tx for pts with CLL/SLL in a RW population, including those aged ≥65 yrs. Data with longer follow-up will be presented at the meeting.
Lisocabtagene maraleucel (liso-cel) versus standard of care (SOC) for second-line relapsed or refractory large B-cell lymphoma (LBCL): First Results from long-term follow-up of TRANSFORM
Solomon, Scott R. , Arnason, Jon , Johnston, Patrick, Glaß, Bertram , Mielke, Stephan , Mutsaers, Pim , Hernandez‐Ilizaliturri, Francisco J. , Morschhauser, Franck, Lunning, Matthew A. , Lin, Yi , Bhatnagar, Rashmi, Montheard, Sandrine, Mielke, Stephan , Kamdar, Manali , Bachanová, Veronika , Ibrahimi, Sami , Izutsu, Koji , Morschhauser, Franck , Ribrag, Vincent , Bhatnagar, Rashmi, Abramson, Jeremy S.

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 3710-3710

10.1182/blood-2025-3710 Get It

Abstract Introduction: Liso-cel is an autologous, CD19-directed, 4-1BB CAR T cell product. TRANSFORM (NCT03575351) is a global, randomized, open-label, phase 3 study of liso-cel versus SOC as second-line therapy in adults with R/R LBCL. In the TRANSFORM study, liso-cel showed superior, more durable efficacy versus SOC, with a potential long-term survival benefit and a favorable safety profile, highlighting the curative potential of liso-cel for second-line R/R LBCL. Upon completion of TRANSFORM, patients who received liso-cel could enroll into a separate, long-term follow-up (LTFU) study (NCT03435796). Here, we report results after approximately 4 years of follow-up in patients from TRANSFORM who consented to the LTFU study. Methods The TRANSFORM study compared liso-cel versus SOC (chemotherapy [R-DHAP, R-ICE, or R-GDP] followed by high-dose chemotherapy [HDCT] + ASCT) in adults aged ≤ 75 years with LBCL primary refractory to or relapsed within 12 months of first-line therapy and eligible for ASCT. Patients in the liso-cel arm underwent lymphodepletion followed by liso-cel (100 × 106 CAR+ T cells). Crossover to receive liso-cel was allowed for patients in the SOC arm. The LTFU study enrolled patients who received liso-cel and discontinued early or completed TRANSFORM; liso-cel was not administered during the LTFU study and subsequent therapies were administered at investigator discretion. Selected AEs considered related to liso-cel (malignancies, neurologic, hematologic, or rheumatologic/autoimmune disorders) and OS would be assessed at each visit (month 3 and then every 6 months from years 1 to 5, and then annually) for up to 15 years from liso-cel infusion until study withdrawal or death, whichever occurred first. OS for the combined study was defined as the time from randomization to death due to any cause. PFS for the combined TRANSFORM and LTFU studies incorporated data from TRANSFORM, assessed by an independent review committee, and from LTFU, assessed by investigators, and was defined as the time from randomization to disease progression or death from any cause. For LTFU only, OS and PFS were measured from LTFU consent to event or censoring. In cases where the patient was censored at last assessment date (without receiving new therapy) in TRANSFORM and enrolled in LTFU, LTFU data were used. For patients from the liso-cel arm of TRANSFORM who did not enroll in the LTFU study, the data from TRANSFORM were considered (ie, either an event or censored) at their last adequate assessment date or before starting new therapy. Results are reported descriptively. Results In total, 184 patients were randomized in TRANSFORM (92 per arm); key demographics and baseline characteristics were previously reported (Abramson, et al. Blood 2023). The LTFU study enrolled 67 patients who received liso-cel (liso-cel arm, n = 43; crossover from SOC arm, n = 24). The median follow-up (range) for the liso-cel arm was 16.9 months (1.3–29.7) in the LTFU study and 40.1 months (2.2–61.9) combining the TRANSFORM and LTFU studies. The median follow-ups for OS and PFS for the liso-cel arm in the LTFU study were 17.1 (16.1–21.9) and 16.9 months (16.0–21.8), respectively. In patients from the LTFU study in the liso-cel arm (n = 43), median PFS and OS were both not reached (NR) with 95% CIs of NR–NR. The 24-month rates (95% CI) of PFS and OS were 94.7% (87.4–100.0) and 95.1% (88.4–100.0), respectively. In the 92 patients randomized to the liso-cel arm, using combined data from the TRANSFORM and LTFU studies, median (95% CI) PFS was NR (12.6–NR); 48-month PFS rate was 52.2% (41.5–62.8). Median (95% CI) OS was NR (NR–NR); 48-month OS rate was 61.5% (51.2–71.7). Safety results from the LTFU study in the liso-cel arm showed no new signals compared with previous reports from TRANSFORM. AEs of any grade occurred in 2 patients (hypogammaglobulinemia and dyspnea; n = 1 each), with no second primary malignancies or serious infections. AEs of grade 3 or 4 occurred in 1 patient (dyspnea). No AEs led to death.Conclusions: After a median follow-up of approximately 4 years combining data from the TRANSFORM and LTFU studies, liso-cel continued to demonstrate long-term clinical benefit with high PFS and OS rates in patients with second-line R/R LBCL. The safety profile of liso-cel continued to be manageable with no new safety signals observed during LTFU. These results further support liso-cel as an effective second-line treatment with curative potential for R/R LBCL.
Combinations of high risk cytogenetic events in multiple myeloma drive distinct immune remodeling patterns and worse outcomes
Michaud, Marina E. , Ferguson, Katherine , Karagkouni, Dimitra , Network, MMRF Immune Atlas, Kumar, Shaji, Dhodapkar, Madhav V. , Vij, Ravi , Cho, Hearn, Avigan, David, Kourelis, Taxiarchis , Mulligan, George, Pilcher, William , Satpathy, Sarthak , Ohlstrom, Denis , Gonzalez‐Kozlova, Edgar , Acharya, Chaitanya R. , Song, Yizhe , Lagana, Alessandro , Kumar, Shaji , Parekh, Samir , Vlachos, Ioannis S. , Gnjatic, Sacha , Li, Ding , Lonial, Sagar , Nooka, Ajay K. , Bhasin, Manoj K

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 2179-2179

10.1182/blood-2025-2179 Get It

Abstract Introduction: Multiple Myeloma (MM) is a complex hematologic malignancy, where patients often display one or more potentially high risk cytogenetic alterations associated with poor outcomes. Traditional high risk cytogenetics events in myeloma, such as NSD2 t(4;14) translocations, gain of 1q21, or deletion of 17p13, have often been studied in isolation, but emerging evidence suggests the combination of these high risk alterations has a greater negative prognostic impact than any on their own. This has been recently reflected in risk stratification guidelines from IMS and IMWG, which consider certain events, such as t(4;14), as high risk only in combination with gain of 1q21 or deletion of 1p32. Still, the mechanisms through which multi-hit high risk events disrupt the microenvironment and promote poor outcomes remains unclear. We hypothesize that myelomas with multiple high risk alterations remodel the immune environment to promote tumor progression and immune escape. Methods: To study the role of multi-hit high risk cytogenetics on the immune microenvironment, we analyzed CD138-bone marrow aspirate single-cell RNA sequencing (scRNAseq) data from 337 newly diagnosed MM patients from the MMRF CoMMpass study, generated as part of the Immune Atlas initiative. Cytogenetic alterations for these patients were derived from whole-genome and whole-exome sequencing of CD138+ bone marrow aspirates from the MMRF CoMMpass cohort. Patients were classified as multi-hit high-risk MM if they exhibited either (i) two high-risk cytogenetic events, including NSD2 t(4;14), MAF t(14;16), del(17p13), or (ii) one high-risk event with gain of 1q21. Results: Based on cytogenetic information, 33 patients in the Immune Atlas cohort were classified as 'multi-hit’ high-risk, while 34 patients had only a single high-risk alteration. These multi-hit high risk patents displayed significantly worse progression free survival compared to standard risk patients, adjusting for age, therapy, and ASCT (HR=2.34, p&lt;7.2e-5), while single-hit patients showed a non-significant trend towards worse outcomes (HR=1.51, p=0.071). The most frequent multi-hit risk event in the cohort was NSD2 t(4;14) in combination with 1q21, observed in 23 patients. Compositional analysis of the immune populations in the scRNAseq data revealed that relative to both standard and single-hit high risk patients, multi-hit high risk patients displayed significant reductions in IFN-I stimulated CD4+ and CD8+ T cell populations, marked by decreased expression for antiviral response markers such as ISG15, XAF1, and IFI44L. Enrichment of inflammatory CD16+ non-classical monocytes was also observed. Further analysis of the most frequent multi-hit risk event, NSD2 with 1q21, revealed distinct enrichment of late-activated cytotoxic HLA+ CD8+T cells and cytotoxic CD4+.T cells. Neither alteration was observed in patients with single-hit NSD2 or 1q21. Further analysis on the interactions between high risk events revealed distinct transcriptomic profiles dependent on the high risk events involved, particularly in multi-hit events involving mutations or deletions of TP53 or gain of 1q21. Reduction in IFN-I signaling across various immune populations was primarily restricted to multi-hit risk events involving gain of 1q21. Conversely, patients with biallelic loss of TP53 displayed significant enrichment of these same IFN-I populations. Given this contrast in IFN-I signaling spanning multiple immune subtypes, we hypothesized that the malignant myeloma cells might similarly display altered IFN-I activity. Utilizing CD138+ myeloma bulk RNA sequencing data from CoMMpass, we found that IFN-I response scores strongly correlated between paired scRNA immune and bulk RNAseq tumor datasets (R2: 0.75, p=1.63e-32). Across 660 patients with bulk RNAseq and cytogenetic data, we confirmed significant reductions in IFN-I response scores in tumor cells in multi-hit high risk involving 1q21, and significant enrichment in those with complete loss of TP53 relative to standard-risk MM. Conclusions: Overall, we do observe that MM patients with multiple high risk cytogenetic alterations display distinct immunologic traits relative to standard risk or single-hit high risk patients in addition to significantly worse outcomes. Furthermore, we find variability in the immune alterations observed based on the cytogenetic events involved, further illustrating the heterogeneity in how MM shapes the immune microenvironment.
Mapping the immune checkpoint receptor-ligand landscape in newly diagnosed multiple myeloma may help prioritize patients for immune checkpoint inhibitor therapy
Foltz, Steven, Jayasinghe, Reyka, Network, MMRF Immune Atlas, Avigan, David, Parekh, Samir, Vij, Ravi, Kumar, Shaji, Kourelis, Taxiarchis, Lonial, Sagar, Cho, Hearn, Vlachos, Ioannis, Gnjatic, Sacha, Ding, Li, Bhasin, Manoj, Acharya, Chaitanya, Gout, Alexander, Mulligan, George, Foltz, Steven, Jayasinghe, Reyka, Network, MMRF Immune Atlas, Avigan, David, Parekh, Samir, Vij, Ravi, Kumar, Shaji, Kourelis, Taxiarchis, Lonial, Sagar, Cho, Hearn, Vlachos, Ioannis, Gnjatic, Sacha, Ding, Li, Bhasin, Manoj, Acharya, Chaitanya, Gout, Alexander, Mulligan, George

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 4024-4024

10.1182/blood-2025-4024 Get It

Abstract Background: Recent clinical trials of immune checkpoint inhibitors (ICI) in multiple myeloma (MM) demonstrated the need to prioritize patients most likely to benefit from this type of therapy (Richard, et al., Nat. Cancer, 2024). Immune checkpoints in MM function through receptor-ligand (RL) interactions between CD8+ T cells and malignant plasma cells. However, there is a gap in our understanding of the immune checkpoint landscape in newly diagnosed MM (NDMM). To explore this, we mapped known immune checkpoint RL pairs in subjects enrolled in the CoMMpass Study (NCT01454297), a prospective, longitudinal observational trial. Methods Bone marrow aspirates from study participants were collected and separated into CD138 positive and CD138 negative fractions for comprehensive molecular characterization of the tumor (using bulk RNA sequencing and whole genome sequencing) and tumor immune microenvironment (using 3' single cell RNA sequencing (scRNA-seq)). 191 patients had paired bulk tumor and single cell immune expression profiles. To evaluate the co-expression of receptor-ligand pairs, we developed two approaches that combine gene expression values across single cell and bulk RNA-seq. The first approach uses joint percentiles to identify patients with high expression (top 75%) of both receptor and ligand (referred to as high-high). The second approach uses a rank-based interaction score to create a single value for each patient within a distribution defined for each receptor-ligand pair; patients with extreme values have high expression of both receptor and ligand. The two methods identified similar sets of patients with high co-expression of receptor and ligand. We then compared progression free survival (PFS) across receptor-ligand co-expression groups (high-high vs. others) and tested for other clinical associations. From a pre-defined list of 17 receptor-ligand pairs (Liu, et al., Exp. Hematol. Oncol., 2023), we focused on the following receptors (from CD8+ T cells) and ligands (from tumor plasma cells): PD-1 with PD-L1; LAG-3 with MHC-II; TIGIT with CD115; and TIM-3 with phosphatidylserine. Results Overall, 91 patients (91/191, 47.6%) showed high-high co-expression for at least 1 out of 17 receptor-ligand pairs, and 100 patients were high-high for no receptor-ligand pairs. Among patients with at least one high-high pair, there was a median of 2.0 high-high pairs (range: 1-11). Hierarchical clustering of high-high status and rank-based interaction score correlations showed that for a given receptor, patients often showed high-high co-expression across multiple related ligands. For TIM-3 (receptor, CD8+ T cells) and phosphatidylserine (ligand, tumor plasma cells), we identified 16 patients (16/191, 8.4%) with high-high co-expression and significantly worse PFS (median survival 485 vs. 1503 days, log-rank p-value 0.043). For PD-1-PD-L1, we identified 7 patients with high-high co-expression; for LAG-3-MHC-II, 12 patients (6.3%); and for TIGIT-CD115, 13 patients (6.8%). Conclusion ICI therapy remains an emerging area of study in MM. Here, we developed methods to explore immune checkpoint receptor-ligand co-expression from paired immune microenvironment and tumor cell populations. Our approach demonstrates the value of data integration across gene expression modalities, especially when standard sample collection methodologies segregate tumor and immune populations. Co-expression analysis may be one factor in prioritizing patients for immune checkpoint inhibitor therapy.