Evidence map›Paper›PMID 41583436›Full record

ReviewFrontiers in immunology2025

From innate-like to innate: the next wave of off-the-shelf CAR immunotherapies.

Ying Feng, Zhibo Yang, Yueru Zhou, Ying Liang, Hai Zhao

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 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

5 authors.

Ying Feng *Department of Emergency, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Zhibo Yang *Department of Neurosurgery, 3201 Hospital of Xi'an Jiaotong University Health Science Center, Hanzhong, Shaanxi, China.
Yueru ZhouDepartment of Emergency, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Ying LiangDepartment of Outpatient, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Hai ZhaoDepartment of Neurosurgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While autologous CAR T-cell therapies have revolutionized the treatment of hematologic malignancies, their widespread application is hindered by manufacturing complexities, high costs, and limited efficacy against solid tumors due to antigen heterogeneity and the TME. Moreover, the logistical burden of bespoke patient-specific manufacturing restricts global scalability. In response, the immunotherapy landscape is pivoting toward "off-the-shelf" allogeneic therapies derived from innate and innate-like effectors. This review provides a comprehensive analysis of four emerging platforms: CAR-NK cells, CAR-NKT cells, γδ T cells, and CAR-M. Unlike conventional αβ T cells, these lineages utilize MHC-independent mechanisms to recognize stress-induced ligands or lipid antigens, inherently minimizing the risk of GvHD while enabling standardized, batched manufacturing. We critically examine the diverse manufacturing paradigms, contrasting the scalability of iPSC-derived sources with the accessibility of umbilical cord blood products. Furthermore, we detail advanced engineering strategies designed to overcome the lineage-specific limitations revealed by early trials-specifically, "armoring" constructs with IL-15 to boost

Indexed as

Immunity, InnateImmunotherapy, AdoptiveNeoplasmsReceptors, Chimeric AntigenAnimalsHumansKiller Cells, NaturalReceptors, Chimeric AntigenCAR-iNKTCAR-macrophageCAR-NKCAR-γδ TIL-15 armoringIPSCKeywords: allogeneicMAIT

Identifiers

PMID41583436
PMCPMC12827610

What OpenQuestion 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 OpenQuestion graph.