Evidence map›Paper›PMID 41836387›Full record

ReviewFrontiers in immunology2026

TGF-β in hematologic malignancies: molecular functions and clinical applications.

Ruiyang Li, Fang Wei, Mengbo Yang

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
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

3 authors.

Ruiyang LiThe First Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi, China.
Fang WeiDepartment of Hematology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Mengbo YangThe First Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transforming growth factor-β (TGF-β) represents a family of multifunctional cytokines, primarily secreted by megakaryocytes, monocytes, T lymphocytes, bone marrow stromal cells, and other cell types. TGF-β plays an essential role in various physiological processes, including the regulation of cell proliferation, differentiation, apoptosis, and immune homeostasis. As a key immunoregulatory cytokine, TGF-β contributes to an immunosuppressive network within the microenvironment of hematologic malignancies by modulating the functions of both adaptive and innate immune cells. Current studies have shown that TGF-β is often highly expressed in major hematologic malignancies such as leukemia, lymphoma, and multiple myeloma (MM). It not only enhances immunosuppression by inhibiting effector T cell activation but also regulates tumor cell proliferation, apoptosis, and drug resistance. Meanwhile, strategies targeting the TGF-β signaling pathway have shown potential to improve immunotherapy responses in preclinical models of hematologic malignancies. Several such agents have now entered early-phase clinical trials, offering a promising direction for enhancing the efficacy of immunotherapy in these diseases. In this review, we outline the molecular mechanisms of TGF-β biosynthesis, activation, and signal transduction, discuss its functions across various immune cell types, and summarize recent progress and challenges in clinical research on TGF-β targeted therapies for hematologic disorders, with the aim of providing new perspectives for related treatment strategies.

Indexed as

Hematologic NeoplasmsTransforming Growth Factor betaAnimalsHumansImmunotherapyMolecular Targeted TherapySignal TransductionTumor MicroenvironmentTransforming Growth Factor betahematological tumorstargeted therapiesTGF-βTGF-β signaling pathwaystumor microenvironment

Identifiers

PMID41836387
PMCPMC12979174

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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 OpenQuestion graph.