Evidence map›Paper›PMID 41567225›Full record

ReviewFrontiers in immunology2025

Autoimmune disease-associated lymphomas: research progress and review.

Chengqian Chen, Wei Guo, Yangzhi Zhao, Xingtong Wang, Jia Li, Ying Zhang, Zhaoxia Li, Haotian Wang, Ou Bai

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

9 authors.

Chengqian ChenDepartment of Hematology, The First Hospital of Jilin University, Changchun, China.
Wei GuoDepartment of Hematology, The First Hospital of Jilin University, Changchun, China.
Yangzhi ZhaoDepartment of Hematology, The First Hospital of Jilin University, Changchun, China.
Xingtong WangDepartment of Hematology, The First Hospital of Jilin University, Changchun, China.
Jia LiDepartment of Hematology, The First Hospital of Jilin University, Changchun, China.
Ying ZhangDepartment of Hematology, The First Hospital of Jilin University, Changchun, China.
Zhaoxia LiDepartment of Hematology, The First Hospital of Jilin University, Changchun, China.
Haotian WangDepartment of Hematology, The First Hospital of Jilin University, Changchun, China.
Ou BaiDepartment of Hematology, The First Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune diseases (ADs) are strongly associated with a significantly increased risk of lymphoma, with the standardised incidence ratio (SIR) markedly elevated in certain conditions, most notably in Sjögren's disease (SjD) where an SIR as high as 18.8 has been reported. The risk is particularly prominent for diffuse large B-cell lymphoma (DLBCL) and mucosa-associated lymphoid tissue (MALT) lymphoma. This review systematically elucidates the epidemiological features, pathological mechanisms, risk factors, and therapeutic strategies of ADs-associated lymphomas. Epidemiological studies have confirmed strong associations between ADs such as rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and SjD with specific lymphoma subtypes, and these associations appear to be bidirectional. Core pathogenic mechanisms involve malignant transformation driven by the immune-inflammatory continuum: chronic antigenic stimulation and the inflammatory microenvironment result in regulatory cell (Treg/Breg) dysfunction, tertiary lymphoid structure (TLS) formation, and clonal evolution. Specific autoantibodies directly contribute to oncogenesis by interfering with intracellular signalling pathways, mimicking antigenic stimulation, and forming immune complexes, while infectious agents such as Epstein-Barr virus synergistically promote malignant transformation within immunosuppressive microenvironments. Risk factors encompass intrinsic disease features, treatment-related risks and gene-environment interactions. Clinical management must balance the dual imperatives of "controlling inflammation" and "minimising treatment-related risks". Targeted therapies, such as rituximab and BTK inhibitors, as well as haematopoietic stem cell transplantation (HSCT), have offered hope, but prognosis remains profoundly influenced by baseline immune status. Future research should focus on risk stratification guided by multi-omics, the application of novel immunotherapies in the autoimmune setting, and the optimisation of multidisciplinary care models.

Indexed as

Autoimmune DiseasesLymphomaAnimalsHumansRisk FactorsTumor Microenvironmentautoimmune diseaseslymphomapathogenesisrisk factorstreatment

Identifiers

PMID41567225
PMCPMC12816270

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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.