AI-Powered Multimodal Profiling Accelerates Mechanism Discovery, Patient Stratification and Biomarker-Driven Therapeutic Development in Hematologic Malignancies
BostonGene, a leading provider of AI-driven molecular and immune profiling solutions, today announced the selection of two abstracts for oral presentation, three abstracts for poster presentation and one abstract for online publication at the 67th American Society of Hematology (ASH) Annual Meeting and Exposition, which will be held December 6-9, 2025, in Orlando, Florida. BostonGene will exhibit in booth #1581.
“The research we are presenting highlights the critical need for advanced patient stratification in hematology. Our AI-powered tools, such as the Lymphly classifier and our B-cell-based marker provide the molecular precision required to de-risk clinical programs and ensure the right drug reaches the right patient subpopulation. This is about moving beyond conventional diagnostics to build a foundational, integrated approach for effective companion diagnostics and unified monitoring in drug studies,” said Nathan Fowler, MD, Chief Medical Officer at BostonGene.
Details of the presentations are below:
Oral presentations:
Abstract number: 14219
Title: Acalabrutinib plus rituximab followed by brexucabtagene autoleucel for frontline treatment of high-risk mantle cell lymphoma: The WINDOW-3 clinical trial
Date & time: December 7 — 5:45 PM – 6:00 PM
Location: Tangerine Ballroom F2
Speaker: Preetesh Jain, MD, DM, PhD, The University of Texas MD Anderson Cancer Center
The WINDOW-3 clinical trial evaluating acalabrutinib plus rituximab followed by brexucabtagene autoleucel CART in patients with high-risk mantle cell lymphoma (MCL) demonstrated strong efficacy and encouraging survival outcomes. BostonGene’s AI-based immunoprofiling revealed CART therapy in high-risk MCL led to drastic immune remodeling, with specific CART-cell types and memory subsets correlating with toxicity, indicating a key role in immune system monitoring for treatment-related toxicities.
Research conducted in collaboration with MD Anderson Cancer Center
Abstract number: 7242
Title: A phase 1b trial of the EZH2 inhibitor tazemetostat combined with CAR T cell therapy in B cell lymphomas
Date & time: December 8 — 5:00 PM – 5:15 PM
Location: OCCC - Tangerine Ballroom F3-4
Speaker: Samuel Yamshon, MD, Weill Cornell Medical College
Based on the premise that inhibition of EZH2 prevents T cell exhaustion and modulates T cell activity, the phase I study administered tazemetostat with CAR-T in patients with B-cell lymphoma. The combination resulted in an impressive 100% response rate with no signal of additional toxicity. BostonGene’s novel immunophenotyping is being performed to demonstrate the immune modulatory effects of combination therapy, providing mechanistic rationale for further combination approaches.
Research conducted in collaboration with Weill Cornell Medical Center
Poster presentations:
Abstract number: 1837
Title: Refining diffuse large B-cell lymphoma subtyping using Lymphly, an evidence-based classifier
Date & time: December 6 — 5:30 PM - 7:30 PM
Speaker: Nikita Kotlov, MS, BostonGene
BostonGene developed Lymphly, an AI hierarchical classifier for diffuse large B-cell lymphoma (DLBCL), to resolve genetically heterogeneous and atypical tumors often missed by existing classifications. By integrating pathway-relevant genomic alterations into a transparent framework, Lymphly distinguishes both established and emerging subtypes, including high-risk TP53+ and MYC+ groups, offering refined molecular stratification for clinical trial design, treatment selection and targeted therapy development.
Abstract number: 2692
Title: A genetic comparison of Epstein-Barr virus-associated polymorphic lymphoproliferative disorder and diffuse large B cell lymphoma
Date & time: December 6 — 5:30 PM - 7:30 PM
Speaker: Jennifer Chapman, MD, University of Miami and Sylvester Comprehensive Cancer Center
BostonGene’s multimodal platform with integrated genomic, transcriptomic and immune data was used to analyze and compare Epstein-Barr virus (EBV)-positive lymphoproliferative disorder and diffuse large B-cell lymphoma. This study underscored the complexity of EBV-driven diseases and highlighted the need for improved classification strategies, demonstrating the potential of BostonGene’s AI-powered platform to advance precision diagnostics and improve patient outcomes.
Research done in collaboration with the University of Miami Sylvester Cancer Institute
Abstract number: 12996
Title: An immunometabolic companion biomarker to enhance FDG-PET interpretation and guide frontline therapy in follicular lymphoma
Date & time: December 8 — 6:00 PM - 8:00 PM
Speaker: Joshua W.D. Tobin, MD, MSc, Princess Alexandra Hospital, Mater Research Institute
In collaboration with MD Anderson and several hospitals and academic institutions in Australia, BostonGene leveraged its multimodal pipeline to design a B cell-based candidate biomarker in patients with follicular lymphoma treated with bendamustine-based immunochemotherapy (ICT). Represented by centroblast (CB) scores, this biomarker identifies patients with high-grade disease who may respond to bendamustine-based ICT. Independent of and additive to pre-treatment PET, the CB score was highly prognostic suggesting a potential role for patient stratification.
Research done in collaboration with the University of Queensland
Online only
Title: Replacing FISH with a comprehensive integrated approach for tumor genotyping and immune monitoring in multiple myeloma
BostonGene’s integrated platform, combining whole exome and RNA sequencing of tumor (CD138⁺ plasma cells) and peripheral blood samples, reproduced FISH-detectable abnormalities (e.g., del17p/TP53 deletion or t(11;14) translocations) and revealed additional mutations, structural variants and immune signatures in multiple myeloma patients, including low-tumor-content samples. By overcoming limitations of conventional FISH, BostonGene’s approach may provide a scalable solution and broader diagnostic capabilities for unified genomic and immune monitoring in clinical trials and patient care.
Research done in collaboration with the University of Miami Sylvester Cancer Institute
In addition to the poster presentations, the abstracts are published online in the November supplemental issue of Blood.
About BostonGene Corporation
BostonGene is redefining cancer patient care and drug development through the integration of omnimodal data and artificial intelligence. Built and validated through an extensive real-world clinical testing network, BostonGene’s Foundation Model of cancer and the immune system integrates genomic, transcriptomic, and immune data with clinical outcomes to generate biologically grounded, actionable insights. These insights enable biopharma partners to design and de-risk trials, identify novel targets, and optimize therapeutic response prediction across all stages of development while simultaneously improving patient care through clinically integrated innovation. For more information, visit www.BostonGene.com.
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Our AI-powered tools, such as the Lymphly classifier and our B-cell-based marker provide the molecular precision required to de-risk clinical programs and ensure the right drug reaches the right patient subpopulation.
Contacts
Media:
BostonGene
Erin Keleher
+1-617-283-2285
Erin.Keleher@BostonGene.com