Evidence map›Paper›PMID 37330049›Full record

ArticleThe Journal of molecular diagnostics : JMD2023

Validation of a High-Sensitivity Assay for Detection of Chimeric Antigen Receptor T-Cell Vectors Using Low-Partition Digital PCR Technology.

Maria E Arcila, Utsav Patel, Amir Momeni-Boroujeni, JinJuan Yao, Roger Chan, Joe Chan, Ivelise Rijo, Wayne Yu, Nelio Chaves, Hina Patel and 13 more

Abstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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

23 authors.

Maria E ArcilaDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Utsav PatelDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Amir Momeni-BoroujeniDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
JinJuan YaoDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Roger ChanDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Joe ChanDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Ivelise RijoDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Wayne YuDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Nelio ChavesDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Hina PatelDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Srushti KakadiyaDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Sean LachhanderDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Brigitte SenechalCell Therapy and Cell Engineering Facility, Memorial Sloan Kettering Cancer Center, New York, New York.
Isabelle C RiviereCell Therapy and Cell Engineering Facility, Memorial Sloan Kettering Cancer Center, New York, New York.
Xiuyan WangCell Therapy and Cell Engineering Facility, Memorial Sloan Kettering Cancer Center, New York, New York.
Michel SadelainCell Therapy and Cell Engineering Facility, Memorial Sloan Kettering Cancer Center, New York, New York.
Khedoudja NafaDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Paulo SalazarDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Lia PalombaDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Kevin J CurranDepartment of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York.
Jae H ParkDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Anthony DaniyanDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Laetitia BorsuDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: borsul@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Although in vivo engraftment, expansion, and persistence of chimeric antigen receptor (CAR) T cells are pivotal components of treatment efficacy, quantitative monitoring has not been implemented in routine clinical practice. We describe the development and analytical validation of a digital PCR assay for ultrasensitive detection of CAR constructs after treatment, circumventing known technical limitations of low-partitioning platforms. Primers and probes, designed for detection of axicabtagene, brexucabtagene, and Memorial Sloan Kettering CAR constructs, were employed to validate testing on the Bio-Rad digital PCR low-partitioning platform; results were compared with Raindrop, a high-partitioning system, as reference method. Bio-Rad protocols were modified to enable testing of DNA inputs as high as 500 ng. Using dual-input reactions (20 and 500 ng) and a combined analysis approach, the assay demonstrated consistent target detection around 1 × 10

Indexed as

Receptors, Chimeric AntigenHumansPolymerase Chain ReactionReceptors, Antigen, T-CellReproducibility of ResultsTechnologyT-LymphocytesReceptors, Antigen, T-CellReceptors, Chimeric Antigen

Identifiers

PMID37330049
PMCPMC10488325

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.