Evidence map›Paper›PMID 40672956›Full record

ReviewFrontiers in immunology2025

CAR-T therapy-based innovations in the enhancement of contemporary anti-tumor therapies.

Wan-Ying Zhang, Lang-Yu Yang, Xing-Xing Fan

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
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  8. Targeting Macrophages in Immunotherapy: The Ascent of CAR-Macrophages.International journal of molecular sciences · 2026
    Review
  9. 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.

Wan-Ying Zhang *Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, School of Chinese Medicine, Macau University of Science and Technology, Macau, Macau SAR, China.
Lang-Yu Yang *Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, School of Chinese Medicine, Macau University of Science and Technology, Macau, Macau SAR, China.
Xing-Xing FanDr. Neher's Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, School of Chinese Medicine, Macau University of Science and Technology, Macau, Macau SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chimeric antigen receptor T (CAR-T) cell therapy has revolutionized the treatment landscape for hematologic malignancies; however, its efficacy in solid tumors remains limited due to antigen heterogeneity, a suppressive tumor microenvironment, and tumor-intrinsic resistance mechanisms. In parallel, immune checkpoint blockade (ICB) therapies have achieved clinical milestones but often fail due to impaired antigen presentation, interferon signaling dysregulation, and immune exclusion. Recent advances in CAR-T therapy-based technologies including multi-specific and armored CAR constructs, gene-editing strategies, and synthetic circuits offer new opportunities to overcome these barriers and expand therapeutic efficacy. Artificial intelligence (AI) has further accelerated the discovery of novel tumor antigens, optimized CAR design, and enabled real-time modeling of treatment responses. Integration of CAR-T therapy with AI-driven platforms, metabolic reprogramming, bispecific antibodies, and advanced single-cell analytics represents a powerful strategy to enhance tumor targeting and durability of response. This review summarizes emerging CAR-T therapy-based innovations, explores their synergistic applications with immunotherapies, and discusses current challenges related to safety, manufacturing, cost, and biomarker validation. These multidisciplinary efforts collectively pave the way toward more effective and personalized cancer treatment.

Indexed as

Immunotherapy, AdoptiveNeoplasmsReceptors, Chimeric AntigenAnimalsAntigens, NeoplasmArtificial IntelligenceHumansTumor MicroenvironmentAntigens, NeoplasmReceptors, Chimeric Antigenartificial intelligencecar-timmunitytumortumor microenvironment

Identifiers

PMID40672956
PMCPMC12263928

What OpenQuestion holds

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LicenceCC BY
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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.