Evidence map›Paper›PMID 42818058›Full record

ArticlebioRxiv : the preprint server for biology2026

Engineering CAR-T cells to remodel the mucin-rich cancer cell glycocalyx.

Sangwoo Park, Cassidy E Ho, Alexandra N Wolff, Yueyang Fan, Amanda A Bouffard, Justin Paek, Adele Mucci, Trisha R Berger, Matthew J Paszek, Marcela V Maus

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

10 authors.

Sangwoo ParkKrantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0002-2701-3114
Cassidy E HoKrantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.
Alexandra N WolffKrantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.
Yueyang FanKrantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.
Amanda A BouffardKrantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.
Justin PaekDepartment of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Adele MucciKrantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.
Trisha R BergerKrantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.
Matthew J PaszekDepartment of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Marcela V MausKrantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dense glycocalyx of cancer cells can restrict immune-cell access to surface antigens and limit CAR-T cell activity. Here, we show that mucin density and epitope position determine how glycocalyx remodeling affects CAR-T cell recognition and killing. We identify KLK-5 as a human protease that cleaves tumor-associated mucins, increases access to membrane-proximal antigens, and enhances CAR-T cell function. We then engineer CAR-T cells to display or secrete KLK-5, enabling remodeling of the tumor glycocalyx during antigen recognition. KLK5-engineered CAR-T cells improved tumor control across multiple xenograft models, and KLK5-secreting MUC17 CAR-T cells produced the strongest in vivo benefit, prolonging survival compared with conventional MUC17 CAR-T cells. These findings show that CAR-T cells can be engineered to breach the mucin-rich glycocalyx while preserving accessible target epitopes.

Identifiers

PMID42818058
PMCPMC13622229

What OpenQuestion holds

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Registered trials

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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.