Evidence map›Paper›PMID 30680249›Full record

ReviewJournal of pharmaceutical investigation2018

Recent challenges and advances in genetically-engineered cell therapy.

Seok-Beom Yong, Jee Young Chung, Yoonsung Song, Yong-Hee Kim

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of pharmaceutical investigation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. hPSC gene editing for cardiac disease therapy.Pflugers Archiv : European journal of physiology · 2022
    Review
  5. Article
  6. In vivo gene editing via homology-independent targeted integration for adrenoleukodystrophy treatment.Molecular therapy : the journal of the American Society of Gene Therapy · 2022
    Article
  7. Article
  8. Article
  9. 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

4 authors at 1 institution in 1 country.

Seok-Beom Yong1Department of Bioengineering, Hanyang University, Seoul, 04763 Republic of Korea.
Jee Young Chung1Department of Bioengineering, Hanyang University, Seoul, 04763 Republic of Korea.
Yoonsung Song1Department of Bioengineering, Hanyang University, Seoul, 04763 Republic of Korea.
Yong-Hee Kim1Department of Bioengineering, Hanyang University, Seoul, 04763 Republic of Korea.
Hanyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cells naturally sense and actively response to their environment. Cell-therapy has long been studied and shown therapeutic effects in various diseases. However, several hurdles should be overcome to improve cell-based therapy. Gene delivery-mediated cellular modification has shown improvement of cell function by obstacle gene silencing and therapeutic gene expression. Especially, CRISPR/Cas9-mediated genome editing is a very promising method for gene modification. In this review, we describe the recent advances in genetic modification for cell therapy. Stem cells are still promising source of cell therapy due to their self-renewal character and differentiation potential. Immune cells regulate the inflammatory response and immunization, which inspired various cell therapy using immune-regulatory cells. Conclusively, we emphasize the need to develop gene-modification-based cell therapy as potent future treatment.

Indexed as

Cell therapyGene engineeringGene-modified cell therapyImmune cell therapyStem cell therapy

Identifiers

PMID30680249
PMCPMC6312535
OpenAlexW2776072773

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.