Evidence map›Paper›PMID 40902084›Full record

ArticleBlood advances2025

Monoclonal gammopathy defines distinct clinical subsets in chronic lymphocytic leukemia across therapeutic eras.

Yuting Yan, Bolin Yuan, Tonglu Qiu, Guoqiang Liu, Weihao Chen, Tingyu Wang, Ying Yu, Wenjie Xiong, Gang An, Dehui Zou and 3 more

Abstract read
In one paragraph

Article in Blood advances, 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

13 authors.

Yuting YanDepartment of Hematology, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.ORCID 0000-0002-9355-2984
Bolin YuanDepartment of Hematology, School of Clinical Medicine, Shandong Second Medical University, Weifang, China.ORCID 0009-0002-0284-754X
Tonglu QiuDepartment of Hematology, Key Laboratory of Nanjing Medical University, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.
Guoqiang LiuDepartment of Hematology, School of Clinical Medicine, Shandong Second Medical University, Weifang, China.
Weihao ChenDepartment of Hematology, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.
Tingyu WangDepartment of Hematology, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.
Ying YuDepartment of Hematology, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.
Wenjie XiongDepartment of Hematology, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.
Gang AnDepartment of Hematology, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.ORCID 0000-0003-4922-4614
Dehui ZouDepartment of Hematology, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.ORCID 0000-0002-8135-4913
Jianyong LiDepartment of Hematology, Key Laboratory of Nanjing Medical University, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.
Liang WangDepartment of Hematology, School of Clinical Medicine, Shandong Second Medical University, Weifang, China.ORCID 0000-0001-9317-5253
Shuhua YiDepartment of Hematology, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.ORCID 0000-0002-6291-812X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractMonoclonal gammopathy (MG) in chronic lymphocytic leukemia (CLL) portends heterogeneous outcomes, yet its molecular drivers and therapeutic implications remain undefined. In this retrospective analysis of 2075 patients with CLL (1999-2024), MG was detected in 18.47% cases, with immunoglobulin M (IgM) (8.18%), IgG (8.09%), light-chain (1.14%), and IgA (1.06%) subtypes demonstrating divergent clinicogenomic profiles. Patients with IgA-MG were older at diagnosis, whereas those with IgG-MG had a younger age and a higher frequency of mutated immunoglobulin heavy-chain variable (IGHV). In contrast, IgM-MG was associated with unmutated IGHV, elevated lactate dehydrogenase and β2-microglobulin levels, higher frequencies of TP53 aberrations, and enrichment of MYD88, BIRC3, and DDX3X mutations. IgG-MG was associated with shorter time-to-first treatment (TTFT) only, whereas IgM-MG correlated with significantly inferior TTFT, progression-free survival, and overall survival. Subgroup analyses revealed that the adverse prognostic impact of MG was pronounced in IGHV-mutated CLL but attenuated in unmutated cases. Prognostic discrimination by the CLL-International Prognostic Index (CLL-IPI) remained robust regardless of MG status. Notably, patients with IgM-MG did not experience significant survival benefit from targeted therapy compared with conventional regimens. These findings demonstrate that MG subtypes, particularly IgM-MG, define biologically and clinically distinct subsets of CLL. Given the limited efficacy of Bruton tyrosine kinase inhibitors in IgM-MG, immunofixation-based MG profiling may inform risk-adapted treatment strategies and personalized therapy selection.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellParaproteinemiasAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedMutationPrognosisRetrospective Studies

Identifiers

PMID40902084
PMCPMC12744275

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