Evidence map›Paper›PMID 37360944›Full record

ArticleMolecular therapy oncolytics2023

Tagmentation-based analysis reveals the clonal behavior of CAR-T cells in association with lentivector integration sites.

Jaeryuk Kim, Miyoung Park, Gyungwon Baek, Joo-Il Kim, Euna Kwon, Byeong-Cheol Kang, Jong-Il Kim, Hyoung Jin Kang

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy oncolytics, 2023. 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
0.7field-weighted citation impact, top 24% of its field
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, 3 citations in OpenAlex.

  1. Article
  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

8 authors at 2 institutions in 3 countries.

Jaeryuk KimGenomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Republic of Korea.
Miyoung ParkSeoul National University Cancer Research Institute, Seoul, Republic of Korea.
Gyungwon BaekSeoul National University Cancer Research Institute, Seoul, Republic of Korea.
Joo-Il KimGraduate School of Translational Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Euna KwonDepartment of Experimental Animal Research, Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.
Byeong-Cheol KangGraduate School of Translational Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Jong-Il KimGenomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Republic of Korea.
Hyoung Jin KangSeoul National University Cancer Research Institute, Seoul, Republic of Korea.
Seoul National University · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integration site (IS) analysis is essential in ensuring safety and efficacy of gene therapies when integrating vectors are used. Although clinical trials of gene therapy are rapidly increasing, current methods have limited use in clinical settings because of their lengthy protocols. Here, we describe a novel genome-wide IS analysis method, "detection of the integration sites in a time-efficient manner, quantifying clonal size using tagmentation sequencing" (DIStinct-seq). In DIStinct-seq, a bead-linked Tn5 transposome is used, allowing the sequencing library to be prepared within a single day. We validated the quantification performance of DIStinct-seq for measuring clonal size with clones of known IS. Using

Indexed as

CAR-T cellsclonal expansiongene therapygenomic safe harborsintegration site analysistagmentation

Identifiers

PMID37360944
PMCPMC10285042
OpenAlexW4377041642

What OpenQuestion 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 OpenQuestion graph.