Evidence map›Paper›PMID 37487630›Full record

ReviewCold Spring Harbor perspectives in medicine2024

How CRISPR Is Revolutionizing the Generation of New Models for Cancer Research.

Francisco J Sánchez Rivera, Lukas E Dow

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Next-Generation Modeling of Cancer Using Organoids.Cold Spring Harbor perspectives in medicine · 2024
    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

2 authors.

Francisco J Sánchez RiveraDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA fsr@mit.edu lud2005@med.cornell.edu.
Lukas E DowSandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, New York 10065, USA fsr@mit.edu lud2005@med.cornell.edu.ORCID 0000-0001-7048-1418

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Jacqueline A. Lees · 1985 to 2026
$93.9M
In Vivo Base Editing for Precision Oncology ModelsR01CA229773 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI DOW, LUKAS EDWARD · 2019 to 2023
$3.1M
NCI NIH HHS P30 CA014051NCI NIH HHS R01 CA229773
6 · The paper itself

Abstract

Cancers arise through acquisition of mutations in genes that regulate core biological processes like cell proliferation and cell death. Decades of cancer research have led to the identification of genes and mutations causally involved in disease development and evolution, yet defining their precise function across different cancer types and how they influence therapy responses has been challenging. Mouse models have helped define the in vivo function of cancer-associated alterations, and genome-editing approaches using CRISPR have dramatically accelerated the pace at which these models are developed and studied. Here, we highlight how CRISPR technologies have impacted the development and use of mouse models for cancer research and discuss the many ways in which these rapidly evolving platforms will continue to transform our understanding of this disease.

Indexed as

CRISPR-Cas SystemsDisease Models, AnimalGene EditingNeoplasmsAnimalsClustered Regularly Interspaced Short Palindromic RepeatsHumansMice

Identifiers

PMID37487630
PMCPMC11065179

What Socratic 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 Socratic graph.