Evidence map›Paper›PMID 41198626›Full record

ArticleBlood cancer journal2025

CHIP amplifies the risk of lymphoid malignancies in individuals with monoclonal B-cell lymphocytosis (MBL).

Nicholas J Boddicker, Tait D Shanafelt, Sameer A Parikh, Kari G Rabe, Rosalie Griffin, Aaron D Norman, Yuan Yao, Shulan Tian, Tao Ma, Daniel R O'Brien and 11 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

21 authors.

Nicholas J Boddicker *Division of Computational Biology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-6784-2072
Tait D Shanafelt *Department of Medicine, Division of Hematology, Stanford University, Stanford, CA, USA.
Sameer A ParikhDivision of Hematology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-3221-7314
Kari G RabeDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-7313-1875
Rosalie GriffinDivision of Computational Biology, Mayo Clinic, Rochester, MN, USA.ORCID 0009-0007-5721-3727
Aaron D NormanDivision of Epidemiology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-4208-2708
Yuan YaoDivision of Hematology, Mayo Clinic, Rochester, MN, USA.
Shulan TianDivision of Computational Biology, Mayo Clinic, Rochester, MN, USA.
Tao MaDivision of Computational Biology, Mayo Clinic, Rochester, MN, USA.
Daniel R O'BrienDivision of Computational Biology, Mayo Clinic, Rochester, MN, USA.
Bryan A VallejoDivision of Computational Biology, Mayo Clinic, Rochester, MN, USA.
Mingma S HoelDivision of Hematology, Mayo Clinic, Rochester, MN, USA.
Stacey J LehmanDivision of Hematology, Mayo Clinic, Rochester, MN, USA.
Janet E OlsonDivision of Epidemiology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-4944-7789
Paul J HampelDivision of Hematology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-1292-3024
Esteban BraggioDepartment of Cancer Biology, Mayo Clinic, Phoenix, AZ, USA.ORCID 0000-0003-3860-4830
Mrinal M PatnaikDivision of Hematology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-6998-662X
James R CerhanDivision of Epidemiology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-7482-178X
Celine M VachonDivision of Epidemiology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-1962-9322
Curtis A HansonDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Susan L SlagerDivision of Computational Biology, Mayo Clinic, Rochester, MN, USA. slager.susan@mayo.edu.ORCID 0000-0002-5173-4712

Funding

The genetic and epigenetic etiology of progression from the precursor state to chronic lymphocytic leukemia (CLL)R01CA258465 · NCI · MAYO CLINIC ROCHESTER · PI BRAGGIO, ESTEBAN, OAKES, CHRISTOPHER C. · 2022 to 2025
$4.1M
Prevalence, etiology, and clinical implications of low count monoclonal B-cell lymphocytosis (MBL)RF1AG058266 · NIA · MAYO CLINIC ROCHESTER · PI SHANAFELT, TAIT D, SLAGER, SUSAN L · 2025 to 2025
$3.4M
Prevalence, etiology, and clinical implications of low count monoclonal B-cell lymphocytosis (MBL)R01AG058266 · NIA · MAYO CLINIC ROCHESTER · PI SHANAFELT, TAIT D, SLAGER, SUSAN L · 2018 to 2022
$3.2M
Integration of germline and tumor genomes in CLLR01CA235026 · NCI · MAYO CLINIC ROCHESTER · PI BRAGGIO, ESTEBAN, SLAGER, SUSAN L · 2019 to 2023
$3.2M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR21AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2018 to 2019
$437k
NCI NIH HHS R01 CA235026NCI NIH HHS R01 CA258465NIA NIH HHS R01 AG058266NIA NIH HHS R21 AG058738NIA NIH HHS R33 AG058738NIA NIH HHS RF1 AG058266U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) CA235026U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) CA258465U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) AG58266
6 · The paper itself

Abstract

Monoclonal B-cell lymphocytosis (MBL) and clonal hematopoiesis of indeterminate potential (CHIP) are prevalent clonal precursors associated with increased risk of lymphoid malignancies. However, the relationship between MBL and CHIP and their combined impact on lymphoid malignancy risk remains poorly understood. We screened participants from the Mayo Clinic Biobank to identify MBL using eight-color flow cytometry; CHIP was detected using whole-exome sequencing of whole-blood DNA in 291 genes related to myeloid or lymphoid malignancies. Incident myeloid or lymphoid hematological malignancies were identified using ICD codes and confirmed via medical record review. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI). Cox regression was used to estimate hazard ratios (HR). Analyses were adjusted for age and sex. In 10,067 participants, 15% had MBL, and 9% had CHIP. No evidence of an association between MBL and CHIP (OR = 1.00; 95% CI: 0.82-1.20) was observed. With a median follow-up of 5.4 years, 138 participants developed hematological malignancies (94 lymphoid). MBL (HR = 3.48; 95% CI: 2.27-5.34; P < 0.001) and CHIP (HR = 1.89; 95% CI: 1.10-3.27; P = 0.022) were each associated with incident lymphoid malignancy. Compared to individuals with no precursors, the combined presence of MBL and CHIP significantly amplified lymphoma risk (HR = 7.18; 95% CI: 3.33-15.47; P < 0.001), more than doubling the risk among individuals with MBL alone (HR = 3.30; 95% CI: 2.06-5.30; P < 0.001). In contrast, the risk associated with CHIP alone was attenuated and no longer statistically significant (HR = 1.63; 95% CI: 0.77-3.47; P = 0.20). MBL and CHIP are independent hematological precursor conditions. While their combined presence amplifies the risk of lymphoid malignancy, CHIP alone may not be a strong independent risk factor.

Indexed as

B-LymphocytesClonal HematopoiesisHematologic NeoplasmsLymphocytosisAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRisk Factors

Identifiers

PMID41198626
PMCPMC12592468

What Socratic holds

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Registered trials

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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 Socratic graph.