Evidence map›Paper›PMID 26060510›Full record

ReviewGenome medicine2015

Precision cancer mouse models through genome editing with CRISPR-Cas9.

Haiwei Mou, Zachary Kennedy, Daniel G Anderson, Hao Yin, Wen Xue

Abstract readReview
In one paragraph

Review in Genome medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

59 citing papers in PubMed.

  1. Review
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  9. Article
  10. CAR-T cell therapy: a game-changer in cancer treatment and beyond.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Review
  11. Targeted disruption of theActa biochimica et biophysica Sinica · 2024
    Article
  12. Review
  13. Review
  14. Article
  15. Translational Models in Glioma Immunotherapy Research.Current oncology (Toronto, Ont.) · 2023
    Review
  16. Review
  17. Review
  18. Applications and advancements of CRISPR-Cas in the treatment of lung cancer.Frontiers in cell and developmental biology · 2023
    Review
  19. Review
  20. 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

5 authors.

Haiwei MouRNA Therapeutics Institute and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605 USA.
Zachary KennedyRNA Therapeutics Institute and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605 USA.
Daniel G AndersonDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142 USA ; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02142 USA ; Harvard-MIT Division of Health Sciences & Technology, Cambridge, MA 02139 USA ; Institute of Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02142 USA.
Hao YinDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142 USA.
Wen XueRNA Therapeutics Institute and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605 USA.

Funding

The Development of Clinical Grade, Targeted Magnetic NanoparticlesU54CA151884 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MESIROV, JILL P. · 2010 to 2014
$11.3M
Investigating microRNA miR-34a in lung cancer development and therapyR00CA169512 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI XUE, WEN · 2014 to 2016
$747k
NCI NIH HHS R00 CA169512NCI NIH HHS U54 CA151884
6 · The paper itself

Abstract

The cancer genome is highly complex, with hundreds of point mutations, translocations, and chromosome gains and losses per tumor. To understand the effects of these alterations, precise models are needed. Traditional approaches to the construction of mouse models are time-consuming and laborious, requiring manipulation of embryonic stem cells and multiple steps. The recent development of the clustered regularly interspersed short palindromic repeats (CRISPR)-Cas9 system, a powerful genome-editing tool for efficient and precise genome engineering in cultured mammalian cells and animals, is transforming mouse-model generation. Here, we review how CRISPR-Cas9 has been used to create germline and somatic mouse models with point mutations, deletions and complex chromosomal rearrangements. We highlight the progress and challenges of such approaches, and how these models can be used to understand the evolution and progression of individual tumors and identify new strategies for cancer treatment. The generation of precision cancer mouse models through genome editing will provide a rapid avenue for functional cancer genomics and pave the way for precision cancer medicine.

Identifiers

PMID26060510
PMCPMC4460969

What OpenQuestion holds

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Registered trials

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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.