Evidence map›Paper›PMID 36959711›Full record

ReviewGenes, chromosomes & cancer2023

Modeling human cancer predisposition syndromes using CRISPR/Cas9 in human cell line models.

Garrett M Draper, Daniel J Panken, David A Largaespada

Open access · hybridAbstract readReview
In one paragraph

Review in Genes, chromosomes & cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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  3. Article
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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

3 authors at 1 institution in 1 country.

Garrett M DraperDepartment of Pediatrics, University of Minnesota Twin Cities, Minneapolis, USA.ORCID 0000-0002-4972-8233
Daniel J PankenDepartment of Pediatrics, University of Minnesota Twin Cities, Minneapolis, USA.
David A LargaespadaDepartment of Pediatrics, University of Minnesota Twin Cities, Minneapolis, USA.
University of Minnesota · US

Funding

Uncovering treatment targets for peripheral nerve sheath tumor progression in NF1R01NS115438 · NINDS · UNIVERSITY OF MINNESOTA · PI LARGAESPADA, DAVID ANDREW, RATNER, NANCY · 2020 to 2024
$2.9M
Recurrent Tumor-Specific Alternately Processed Transcripts as a Source of Neoantigens for NF1-associated Malignant Peripheral Nerve Sheath Tumor ImmunopreventionUH3CA244687 · NCI · UNIVERSITY OF MINNESOTA · PI LARGAESPADA, DAVID ANDREW · 2021 to 2023
$2.1M
NCI NIH HHS UH3 CA244687NINDS NIH HHS R01 NS115438
6 · The paper itself

Abstract

The advancement of CRISPR mediated gene engineering provides an opportunity to improve upon preclinical human cell line models of cancer predisposing syndromes. This review focuses on using CRISPR/Cas9 genome editing tools to model various human cancer predisposition syndromes. We examine the genetic mutations associated with neurofibromatosis type 1, Li-Fraumeni syndrome, Gorlin syndrome, BRCA mutant breast and ovarian cancers, and APC mutant cancers. Furthermore, we discuss the possibilities of using next-generation CRISPR-derived precision gene editing tools to introduce a variety of genetic lesions into human cell lines. The goal is to improve the quality of preclinical models surrounding these cancer predisposition syndromes through dissecting the effects of these mutations on the development of cancer and to provide new insights into the underlying mechanisms of these cancer predisposition syndromes. These studies demonstrate the continued utility and improvement of CRISPR/Cas9-induced human cell line models in studying the genetic basis of cancer.

Indexed as

CRISPR-Cas SystemsNeoplasmsCell LineDisease SusceptibilityGene EditingHumansSyndromeCRISPRiPSCmodels

Identifiers

PMID36959711
PMCPMC10517061
OpenAlexW4360808655

What Socratic holds

Textmetadata
LicenceTDM
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.