Evidence map›Paper›PMID 40305105›Full record

ArticleCancer research2025

Integration of Germline and Somatic Variation Improves Chronic Lymphocytic Leukemia Risk Stratification.

Aubrey K Hubbard, Derek W Brown, Jie Liu, Irenaeus C Chan, Weiyin Zhou, Giulio Genovese, Alexander DePaulis, Sruthi Srinivasan, Shu-Hong Lin, Batel Blechter and 10 more

Abstract read
In one paragraph

Article in Cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Aubrey K HubbardDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0000-0003-4052-1110
Derek W BrownDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0000-0001-8393-1713
Jie LiuDivisions of Hematology and Oncology, Department of Medicine, Washington University School of Medicine, St Louis, Missouri.ORCID 0000-0001-6365-1888
Irenaeus C ChanDivisions of Hematology and Oncology, Department of Medicine, Washington University School of Medicine, St Louis, Missouri.ORCID 0009-0004-3250-9626
Weiyin ZhouDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-0467-3064
Giulio GenoveseProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.ORCID 0000-0003-3066-5575
Alexander DePaulisDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0009-0000-8722-1022
Sruthi SrinivasanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0009-0003-0581-1814
Shu-Hong LinDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-4020-7714
Batel BlechterDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0000-0001-7610-2554
Ian D BullerDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0000-0001-9477-8582
Qinglin ZengDivisions of Hematology and Oncology, Department of Medicine, Washington University School of Medicine, St Louis, Missouri.ORCID 0000-0002-0117-1181
Yin CaoDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, Missouri.ORCID 0000-0001-9835-7662
Wen-Yi HuangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-4440-3368
Neal D FreedmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0000-0003-0074-1098
Haoyu ZhangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0000-0001-6423-0444
Diptavo DuttaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-6634-9040
Stephen J ChanockDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-2324-3393
Kelly L BoltonDivisions of Hematology and Oncology, Department of Medicine, Washington University School of Medicine, St Louis, Missouri.ORCID 0000-0001-6584-3357
Mitchell J MachielaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0000-0001-6538-9705

Funding

Intramural NIH HHS Z99 CA999999Intramural Research ProgramWellcome Trust
6 · The paper itself

Abstract

Both acquired mutations and germline genetic variation are known risk factors for chronic lymphocytic leukemia (CLL). The joint characterization of germline, acquired, and clinical risk has the potential to improve CLL risk prediction. In this study, we investigated whether the inclusion of a CLL-associated polygenic score (PGS) and two common types of clonal hematopoiesis (CH), autosomal mosaic chromosomal alterations (mCA) and CH of indeterminate potential (CHIP), could improve CLL risk stratification in 436,784 participants in the UK Biobank and a replication set of 35,382 participants in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Individual mCAs on chromosomes 11, 12, 23, 14, and 22, as well as CHIP mutations in known lymphoid driver genes, were strongly associated with CLL risk. Integrative models that included sex, age, smoking status, blood cell traits, genetic similarity, CLL PGS, autosomal mCAs, and CHIP had the greatest discriminative ability, with predictive utility waning 5 years after the measurement of CH. Sensitivity analyses removing individuals with abnormal blood cell counts and CH commonly observed in CLL showed persistent, increased discriminative ability. Evaluating cumulative absolute risk, the CLL PGS and CH had improved ability to stratify CLL cases into higher-risk categories and controls into lower-risk categories. Overall, this analysis details the enhanced ability to identify individuals at high risk of CLL when integrating germline and somatic data derived from peripheral blood. SIGNIFICANCE: Joint consideration of well-characterized clinical characteristics with germline genetic variation and somatic mutations can enable chronic lymphocytic leukemia risk stratification to support clinical decision-making and early detection.

Indexed as

Germ-Line MutationLeukemia, Lymphocytic, Chronic, B-CellAgedChromosome AberrationsClonal HematopoiesisFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedMutationRisk AssessmentRisk Factors

Identifiers

PMID40305105
PMCPMC12263322

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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.