Evidence map›Paper›PMID 40404664›Full record

ArticleNature communications2025

Cell trajectory modulation: rapid microfluidic biophysical profiling of CAR T cell functional phenotypes.

Kerwin Kwek Zeming, Kai Yun Quek, Wei-Xiang Sin, Denise Bei Lin Teo, Ka-Wai Cheung, Chin Ren Goh, Faris Kairi, Elizabeth Lee, Francesca Lorraine Wei Inng Lim, Michaela Su-Fern Seng and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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  6. 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

13 authors.

Kerwin Kwek ZemingCritical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology (SMART), Singapore, Singapore. kerwin@smart.mit.edu.ORCID http://orcid.org/0000-0002-3088-3604
Kai Yun QuekCritical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology (SMART), Singapore, Singapore.
Wei-Xiang SinCritical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology (SMART), Singapore, Singapore.
Denise Bei Lin TeoCritical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology (SMART), Singapore, Singapore.
Ka-Wai CheungCritical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology (SMART), Singapore, Singapore.
Chin Ren GohCritical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology (SMART), Singapore, Singapore.
Faris KairiCritical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology (SMART), Singapore, Singapore.
Elizabeth LeeCritical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology (SMART), Singapore, Singapore.
Francesca Lorraine Wei Inng LimDepartment of Haematology, Singapore General Hospital, Singapore, Singapore.
Michaela Su-Fern SengSingHealth Duke-NUS Oncology Academic Clinical Programme, Sing Health Duke-NUS Academic Medical Centre, Singapore, Singapore.
Shui Yen SohSingHealth Duke-NUS Oncology Academic Clinical Programme, Sing Health Duke-NUS Academic Medical Centre, Singapore, Singapore.
Michael E BirnbaumCritical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology (SMART), Singapore, Singapore.ORCID http://orcid.org/0000-0002-2281-3518
Jongyoon HanCritical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology (SMART), Singapore, Singapore. jyhan@mit.edu.ORCID http://orcid.org/0000-0001-7215-1439

Funding

National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore) SMART-CAMP
6 · The paper itself

Abstract

Chimeric Antigen Receptor (CAR) T cell therapy is a pivotal treatment for hematological malignancies. However, CAR T cell products exhibit batch-to-batch variability in cell number, quality, and in vivo efficacy due to donor-to-donor heterogeneity, and pre/post-manufacturing processes, and the manufacturing of such products necessitates careful testing, both post-manufacturing and pre-infusion. Here, we introduce the Cell Trajectory Modulation (CTM) assay, a microfluidic, label-free approach for the rapid evaluation of the functional attributes of CAR T cells based on biophysical features (i.e., size, deformability). CTM assay correlates with phenotypic metrics, including CD4:CD8 ratio, memory subtypes, and cytotoxic activity. Validated across multiple donors and culture platforms, the CTM assay requires fewer than 10,000 cells and delivers results within 10 minutes. Compared to labeled flow cytometry processing, the CTM assay offers real-time data to guide adaptive manufacturing workflows. Thus, the CTM assay offers an improvement over existing phenotypic assessments, marking a step forward in advancing CAR T cell therapy manufacturing.

Indexed as

Immunotherapy, AdoptiveMicrofluidicsReceptors, Chimeric AntigenT-LymphocytesFlow CytometryHumansPhenotypeReceptors, Chimeric Antigen

Identifiers

PMID40404664
PMCPMC12098694

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.