Evidence map›Paper›PMID 42827714›Full record

ReviewMedComm2026

Bruton's Tyrosine Kinase Inhibitors: Mechanisms, Efficacy, Toxicities and Applications for the Treatment of Human Diseases.

Miao Sun, Dengju Li, Jia Wei

Abstract readReview
In one paragraph

Review in MedComm, 2026. 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

3 authors.

Miao SunDepartment of Hematology, Tongji Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Dengju LiDepartment of Hematology, Tongji Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Jia WeiDepartment of Hematology, Tongji Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bruton's tyrosine kinase (BTK) is a nonreceptor tyrosine kinase that couples B-cell receptor (BCR) signaling to broader immune-cell activation. By integrating signals from BCR, Toll-like receptors, chemokine receptors, Fc receptors, and BAFF receptors, BTK governs B-cell development, immune-cell migration, innate immunity, and inflammation. Inhibition of BTK has transformed the treatment landscape of B-cell malignancies, while the development of covalent, noncovalent, dual-target inhibitors, and BTK degraders has expanded therapeutic opportunities. However, the mechanisms of action, resistance patterns, and expanding therapeutic applications of BTK inhibitors (BTKis) across malignant and nonmalignant diseases have yet to be comprehensively integrated. This review outlines BTK structure and signaling pathways, BTKi classification, resistance mechanisms, and emerging therapeutic strategies with emphasis on monotherapy in B-cell malignancies and combination strategies involving CAR-T therapy, immune checkpoint inhibitors, CD20-targeted antibodies, BCL2 inhibitors, and hematopoietic stem cell transplantation. Mechanistically, these combinations enhance T-cell function, attenuate immune checkpoint signaling, and remodel the tumor microenvironment (TME). We further discuss BTKis in solid tumors, autoimmune diseases, and chronic inflammatory disorders. Collectively, this review integrates current advances in BTK-targeted therapy and highlights opportunities for precision treatment across oncology and immune-mediated diseases.

Indexed as

autoimmune diseasesB‐cell malignancyBruton's tyrosine kinase (BTK) inhibitorscombination therapyimmunotherapy

Identifiers

PMID42827714
PMCPMC13631561

What OpenQuestion holds

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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 OpenQuestion graph.