Evidence map›Paper›PMID 41141147›Full record

ReviewCureus2025

Leukemias in the Context of Rheumatoid Arthritis: Shared Pathways and Clinical Perspectives.

Alaa Osman, Nipun Addla, Ashesh Das, Badriya Ali Alansari, Divya Iyer, Maria Jose Acosta, Khaled Aldhuaina, Aakriti Datta, Anandhu Anil Nair, Manju Rai

Abstract readReview
In one paragraph

Review in Cureus, 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

10 authors.

Alaa OsmanMedicine, Lebanese University, Beirut, LBN.
Nipun AddlaInternal Medicine, Kamineni Academy of Medical Sciences and Research Centre, Hyderabad, IND.
Ashesh DasInternal Medicine, Kali Pradip Chaudhuri (KPC) Medical College and Hospital, Kolkata, IND.
Badriya Ali AlansariMedicine, Gulf Medical University, Ajman, ARE.
Divya IyerInternal Medicine, University College Dublin (UCD) School of Medicine, Dublin, IRL.
Maria Jose AcostaInternal Medicine, Universidad del Rosario, Bogota, COL.
Khaled AldhuainaInternal Medicine, Faculty of Medicine, Kuwait University, Kuwait City, KWT.
Aakriti DattaInternal Medicine, Kasturba Medical College, Manipal, IND.
Anandhu Anil NairInternal Medicine, Amrita Institute of Medical Sciences, Kochi, IND.
Manju RaiBiotechnology, Shri Venkateshwara University, Gajraula, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterized by systemic inflammation, progressive joint destruction, and increased risk of malignancies, particularly hematological cancers such as leukemias. RA patients appear to have a higher incidence of leukemias, suggesting a possible association between the two conditions. This association is driven by shared pathogenic mechanisms, including chronic inflammation, immune dysregulation, and genetic predispositions. Pro-inflammatory cytokines, notably tumor necrosis factor-alpha (TNF-α) and interleukin 6 (IL-6), play a crucial role in sustaining an inflammatory microenvironment that promotes leukemic transformation. Genetic alterations, including mutations in STAT3, TET2, and DNMT3A, further highlight the overlap between RA pathophysiology and hematologic malignancies. Moreover, RA treatments such as methotrexate (MTX), Janus kinase (JAK) inhibitors, and anti-TNF therapies have complex implications, with some studies suggesting potential contributions to leukemia risk through immune suppression and hematopoietic alterations. Clinical implications of this association emphasize the necessity of early detection strategies, biomarker-based risk stratification, and close hematologic monitoring in RA patients. Interdisciplinary collaboration between rheumatologists and hematologists is essential for optimizing treatment approaches while minimizing oncogenic risks. Future research should focus on identifying predictive biomarkers, exploring targeted therapeutic interventions, and elucidating the molecular mechanisms underlying RA-associated leukemias. Advances in multiomics and artificial intelligence-driven risk modeling may facilitate personalized treatment strategies, improving both RA management and leukemia prevention. Given the rising burden of RA and its associated complications, a comprehensive understanding of its link to leukemias is critical for enhancing patient outcomes and guiding clinical decision-making.

Indexed as

chronic inflammationcytokinesgenetic predispositionhematological malignanciesil-6immune dysregulationleukemiarheumatoid arthritisrisk stratificationtnf-alpha

Identifiers

PMID41141147
PMCPMC12553507

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.