Evidence map›Paper›PMID 42898667›Full record

ReviewMaterials today. Bio2026

Engineering immune cell engagers: From molecular constructs to biomaterial platforms.

Hee Won Park, Sungjun Kim

Abstract readReview
In one paragraph

Review in Materials today. Bio, 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

2 authors.

Hee Won ParkImmuno-Oncology Branch, Division of Rare and Refractory Cancer, Research Institute, National Cancer Center, Goyang, 10408, Republic of Korea.
Sungjun KimImmuno-Oncology Branch, Division of Rare and Refractory Cancer, Research Institute, National Cancer Center, Goyang, 10408, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune cell engagers (ICEs) are emerging therapeutic platforms that redirect immune effector cells toward cancer cells by physically bridging immune-cell receptors with tumor-associated targets. This cell-bridging mechanism converts molecular recognition into localized immune activation, immune synapse formation, cytotoxic killing, or phagocytic clearance. Such contact-centered immune redirection complements immune checkpoint blockade, which can restore antitumor immunity but does not directly promote the physical immune cell-tumor cell contact required for productive effector functions. Building on this principle, advances in molecular and biomaterial engineering have expanded ICE design beyond conventional molecular formats, enabling programmable molecular bridges, engineered living cell surfaces, and material-scaffolded systems that coordinate tumor targeting, immune-cell recruitment, and functional modulation. In this review, we organized these approaches according to three levels of ICE engineering: (1) molecular ICEs such as engineered antibodies and aptamers, (2) living cell engagers based on cell surface engineering using molecular constructs or biomaterials and (3) nanoparticle platforms. Across these platforms, we discuss molecular architecture, tumor-targeting specificity, immune cell recruitment, and functional modulation as key factors governing direct immune-tumor cell interactions. By connecting diverse strategies through a common cell-engagement perspective, this review highlights how these approaches can provide functional and spatial advantages for next-generation cancer immunotherapy.

Indexed as

BiomaterialsCancer immunotherapyImmune cell engagerImmune modulationImmune synapse

Identifiers

PMID42898667
PMCPMC13678006

What OpenQuestion holds

Textmetadata
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.