Evidence map›Paper›PMID 25538623›Full record

ReviewFrontiers in physiology2014

Utilizing past and present mouse systems to engineer more relevant pancreatic cancer models.

Brian T DeCant, Daniel R Principe, Carmen Guerra, Marina Pasca di Magliano, Paul J Grippo

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. KRASScientific reports · 2018
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. 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.

Brian T DeCantDepartment of Medicine, University of Illinois at Chicago Chicago, IL, USA.
Daniel R PrincipeDepartment of Medicine, University of Illinois at Chicago Chicago, IL, USA.
Carmen GuerraMolecular Oncology Program, Centro Nacional de Investigaciones Oncológicas Madrid, Spain.
Marina Pasca di MaglianoDepartment of Surgery, University of Michigan Ann Arbor, MI, USA.
Paul J GrippoDepartment of Medicine, University of Illinois at Chicago Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of pancreatic cancer has prompted the development of numerous mouse models that aim to recapitulate the phenotypic and mechanistic features of this deadly malignancy. This review accomplishes two tasks. First, it provides an overview of the models that have been used as representations of both the neoplastic and carcinoma phenotypes. Second, it presents new modeling schemes that ultimately will serve to more faithfully capture the temporal and spatial progression of the human disease, providing platforms for improved understanding of the role of non-epithelial compartments in disease etiology as well as evaluating therapeutic approaches.

Indexed as

conditionalFLP/FRTinducibleKrasmouse modelpancreatic cancer

Identifiers

PMID25538623
PMCPMC4255505

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.