Evidence map›Paper›PMID 34303648›Full record

ReviewTrends in cancer2021

Modeling metastasis in mice: a closer look.

Arianna Giacobbe, Cory Abate-Shen

Open access · greenAbstract readReview
In one paragraph

Review in Trends in cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.0field-weighted citation impact, top 6% 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

29 citing papers in PubMed, 55 citations in OpenAlex.

  1. Review
  2. Cell-type Specific Alteration ofbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Advances and challenges in human 3D solid tumor models.Advanced functional materials · 2025
    Article
  12. ATAD2 Drives Prostate Cancer Progression to Metastasis.Molecular cancer research : MCR · 2025
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Life science alliance · 2024
    Article
  19. Article
  20. 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 at 1 institution in 1 country.

Arianna GiacobbeDepartment of Molecular Pharmacology and Therapeutics, Columbia University Irving Medical Center, New York, NY 10032, USA.
Cory Abate-ShenDepartment of Molecular Pharmacology and Therapeutics, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Urology, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Medicine, Columbia University Irving Medical Center, 630 West 168th Street, New York, NY 10032, USA; Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Avenue, New York, NY10032, USA; Department of Pathology and Cell Biology, Columbia University Irving Medical Center, 630 West 168th Street, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Avenue, New York, NY 10032, USA. Electronic address: cabateshen@columbia.edu.
Columbia University Irving Medical Center · US

Funding

Project 3: Modeling tumor evolution and drug response in bladder cancer organoidsP01CA221757 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHEN, MICHAEL M. · 2018 to 2022
$8.6M
Preclinical analyses of advanced prostate cancer in genetically-engineered miceR01CA173481 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Cory Abate-Shen · 2013 to 2026
$6.1M
Molecular mechanisms of prostate cancer metastasisR01CA183929 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABATE-SHEN, CORY · 2015 to 2025
$4.1M
Mitochondrial and nuclear functions of NKX3.1 in regulating oxidative stress in prostate cancerR01CA233176 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABATE-SHEN, CORY · 2019 to 2023
$1.9M
NCI NIH HHS P01 CA221757NCI NIH HHS R01 CA173481NCI NIH HHS R01 CA183929NCI NIH HHS R01 CA233176
6 · The paper itself

Abstract

Unraveling the multifaceted cellular and physiological processes associated with metastasis is best achieved by using in vivo models that recapitulate the requisite tumor cell-intrinsic and -extrinsic mechanisms at the organismal level. We discuss the current status of mouse models of metastasis. We consider how mouse models can refine our understanding of the underlying biological and molecular processes that promote metastasis, and we envisage how the application of new technologies will further enhance investigations of metastasis at single-cell resolution in the context of the whole organism. Our view is that investigations based on state-of-the-art mouse models can propel a holistic understanding of the biology of metastasis, which will ultimately lead to the discovery of new therapeutic opportunities.

Indexed as

NeoplasmsAnimalsDisease Models, AnimalMicegenetically engineered mouse models (GEMMs)metastasissyngeneic modelsxenograft models

Identifiers

PMID34303648
PMCPMC8906831
OpenAlexW3183523501

What OpenQuestion 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 OpenQuestion graph.