Evidence map›Paper›PMID 42148104›Full record

ReviewFrontiers in immunology2026

Adapting CAR-T and CAR-Treg cancer therapies for autoimmunity: innovations and challenges.

Michael D Lovelace, Kelly Barrett, Sarah Thomas Broome, Saparna Pai

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Michael D LovelaceApplied Neurosciences Program, Peter Duncan Neurosciences Research Unit, St. Vincent's Centre for Applied Medical Research, Sydney, NSW, Australia.
Kelly BarrettCollege of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia.
Sarah Thomas BroomeDivision of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Solna, Sweden.
Saparna PaiCentre for Molecular Therapeutics, Australian Institute of Tropical Health and Medicine, James Cook University, Cairns, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of Chimeric Antigen Receptor T-cell (CAR-T), CAR-engineered regulatory T cell (CAR-Treg) and hematopoietic stem cell (HSC) therapies has grown in recent years, driven by an increasing demand for robust, antigen-specific T lymphocytes for the treatment of both cancer and autoimmune diseases. This review begins by examining existing cell-based therapies, its biological principles and mechanisms, that have helped achieve notable success in treating cancer. The review then discusses the applicability of these approaches to autoimmune diseases such as progressive and relapsing Multiple Sclerosis (MS) and Type 1 Diabetes Mellitus (T1D). We discuss the substantial promise of CAR-T and CAR-Treg therapies and highlight the role of HSCs, while detailing their mechanism of action, manufacturing processes and ongoing clinical trials. We also examine key challenges such as on and off-target effects, dependence on autologous cell sources, high production costs, and lengthy manufacturing timelines. Our review underscores the need for continued research to facilitate broader clinical implementation of these therapies across diverse healthcare settings.

Indexed as

Autoimmune DiseasesAutoimmunityImmunotherapy, AdoptiveNeoplasmsReceptors, Chimeric AntigenT-Lymphocytes, RegulatoryAnimalsHematopoietic Stem Cell TransplantationHumansReceptors, Chimeric Antigenautoimmune diseaseCAR-T therapycell therapydiabetes mellitusimmune responsemultiple sclerosisT cells

Identifiers

PMID42148104
PMCPMC13171847

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.