Evidence map›Paper›PMID 40651974›Full record

ArticleBlood cancer journal2025

Integrated genomics with refined cell-of-origin subtyping distinguishes subtype-specific mechanisms of treatment resistance and relapse in diffuse large B-cell lymphoma.

Janek S Walker, Kerstin Wenzl, Joseph P Novak, Matthew E Stokes, Melissa A Hopper, Abigail R Dropik, Miranda S Siminski, Allison M Bock, Vivekananda Sarangi, Maria Ortiz and 12 more

Abstract read
In one paragraph

Article in Blood cancer journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Experimental and therapeutic medicine · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Janek S Walker *Division of Hematology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-2049-1527
Kerstin Wenzl *Division of Hematology, Mayo Clinic, Rochester, MN, USA.
Joseph P NovakDivision of Hematology, Mayo Clinic, Rochester, MN, USA.
Matthew E StokesInformatics and Predictive Sciences, Bristol Myers Squibb, Summit, NJ, USA.
Melissa A HopperDivision of Hematology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-0675-8253
Abigail R DropikDivision of Hematology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-7543-5768
Miranda S SiminskiDivision of Hematology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-1570-5455
Allison M BockDivision of Hematology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-3174-8877
Vivekananda SarangiDepartment of Quantitative Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Maria OrtizInformatics and Predictive Sciences, Celgene Institute for Translational Research Europe (CITRE), Seville, Spain.
Nicholas StongInformatics and Predictive Sciences, Bristol Myers Squibb, Summit, NJ, USA.ORCID 0000-0002-0678-637X
C Chris HuangTranslational Medicine Hematology, Bristol Myers Squibb, Summit, NJ, USA.ORCID 0000-0002-1116-2756
Matthew J MaurerDivision of Hematology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-1867-0526
Brian K LinkDivision of Hematology, University of Iowa, Iowa City, IA, USA.
Stephen M AnsellDivision of Hematology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-1244-6758
Thomas M HabermannDivision of Hematology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-3532-9132
Thomas E WitzigDivision of Hematology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-4215-6500
Rebecca L KingDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Grzegorz NowakowskiDivision of Hematology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-6955-9393
James R CerhanDepartment of Quantitative Health Sciences Research, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-7482-178X
Anita K Gandhi *Translational Medicine Hematology, Bristol Myers Squibb, Summit, NJ, USA.
Anne J Novak *Division of Hematology, Mayo Clinic, Rochester, MN, USA. Novak.Anne@mayo.edu.ORCID 0000-0002-7904-1651

Funding

The Role of Monocytes in non-Hodgkin LymphomaP50CA097274 · NCI · UNIVERSITY OF IOWA · PI WEINER, GEORGE J. · 2002 to 2021
$45.7M
The Lymphoma Epidemiology of Outcomes (LEO) Cohort Study (Supplement)U01CA195568 · NCI · MAYO CLINIC ROCHESTER · PI CERHAN, JAMES R, FLOWERS, CHRISTOPHER R · 2015 to 2025
$22.1M
Genetic Predictors of Early Clinical Failure in Diffuse Large B Cell LymphomaR01CA212162 · NCI · MAYO CLINIC ROCHESTER · PI CERHAN, JAMES R, NOVAK, ANNE JOSEPHINE · 2017 to 2021
$3.3M
Training Program in ImmunologyT32AI170478 · NIAID · MAYO CLINIC ROCHESTER · PI Virginia Smith Shapiro · 2022 to 2026
$1.4M
American Cancer Society (American Cancer Society, Inc.) 10.53354/ACS.PF-24-1301715-01-CCB.pc.gr.222062NCI NIH HHS P50 CA097274NCI NIH HHS R01 CA212162NCI NIH HHS U01 CA195568NIAID NIH HHS T32 AI170478U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01 CA212162-01A1U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) SPORE-P50 CA97274U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) T32AI170478
6 · The paper itself

Abstract

Up to 40% of diffuse large B-cell lymphoma (DLBCL) patients do not experience a durable response to frontline immunochemotherapy, and prospective identification of high-risk cases that may benefit from personalized therapeutic management remains an unmet need. Molecular phenotyping techniques have established a landscape of genomic variants in diagnostic DLBCL; however, these have not yet been applied in large-scale studies of relapsed/refractory DLBCL, resulting in incomplete characterization of mechanisms driving tumor progression and treatment resistance. Here, we performed an integrated multiomic analysis on 228 relapsed/refractory DLBCL samples, including 24 with serial biopsies. Refined cell-of-origin subtyping identified patients harboring GCB and DZsig+ relapsed/refractory tumors in cases with primary refractory disease with remarkably poor outcomes, and comparative analysis of genomic features between relapsed and diagnostic samples identified subtype-specific mechanisms of therapeutic resistance driven by frequent alteration to MYC, BCL2, BCL6, and TP53 among additional strong lymphoma driver genes. Tumor evolution dynamics suggest innate mechanisms of chemoresistance are present in many DLBCL tumors at diagnosis, and that relapsed/refractory tumors are primarily comprised of a homogenous clonal expansion with reduced tumor microenvironment activity. Adaptation of personalized therapeutic strategies targeting DLBCL subtype-specific resistance mechanisms should be considered to benefit these high-risk populations.

Indexed as

Drug Resistance, NeoplasmGenomicsLymphoma, Large B-Cell, DiffuseNeoplasm Recurrence, LocalAdultAgedBiomarkers, TumorFemaleHumansMaleMiddle AgedRecurrenceBiomarkers, Tumor

Identifiers

PMID40651974
PMCPMC12255755

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.