Evidence map›Paper›PMID 24592355›Full record

ReviewFrontiers in oncology2014

Recent technological advances in using mouse models to study ovarian cancer.

Carrie Danielle House, Lidia Hernandez, Christina Messineo Annunziata

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Review
  3. The Proteolytic Landscape of Ovarian Cancer: Applications in Nanomedicine.International journal of molecular sciences · 2022
    Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Spontaneous and Induced Animal Models for Cancer Research.Diagnostics (Basel, Switzerland) · 2020
    Review
  10. The hallmarks of ovarian cancer: proliferation and cell growth.EJC supplements : EJC : official journal of EORTC, European Organization for Research and Treatment of Cancer ... [et al.] · 2020
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Transgenic Mouse Models in Cancer Research.Frontiers in oncology · 2018
    Review
  17. Article
  18. Article
  19. Article
  20. Advantages of the avian model for human ovarian cancer.Molecular and clinical oncology · 2015
    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

3 authors.

Carrie Danielle HouseWomen's Malignancies Branch, National Cancer Institute , Bethesda, MD , USA.
Lidia HernandezWomen's Malignancies Branch, National Cancer Institute , Bethesda, MD , USA.
Christina Messineo AnnunziataWomen's Malignancies Branch, National Cancer Institute , Bethesda, MD , USA.

Funding

Nuclear Factor-kappaB in Ovarian CancerZIABC011054 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI ANNUNZIATA, CHRISTINA · 2009 to 2023
$12.1M
6 · The paper itself

Abstract

Serous epithelial ovarian cancer (SEOC) is the most lethal gynecological cancer in the United States with disease recurrence being the major cause of morbidity and mortality. Despite recent advances in our understanding of the molecular mechanisms responsible for the development of SEOC, the survival rate for women with this disease has remained relatively unchanged in the last two decades. Preclinical mouse models of ovarian cancer, including xenograft, syngeneic, and genetically engineered mice, have been developed to provide a mechanism for studying the development and progression of SEOC. Such models strive to increase our understanding of the etiology and dissemination of ovarian cancer in order to overcome barriers to early detection and resistance to standard chemotherapy. Although there is not a single model that is most suitable for studying ovarian cancer, improvements have led to current models that more closely mimic human disease in their genotype and phenotype. Other advances in the field, such as live animal imaging techniques, allow effective monitoring of the microenvironment and therapeutic efficacy. New and improved preclinical mouse models, combined with technological advances to study such models, will undoubtedly render success of future human clinical trials for patients with SEOC.

Indexed as

cancer stem cellsimaging techniquesimmune therapymetabolite profilingmouse modelsreporterserous epithelial ovarian cancer

Identifiers

PMID24592355
PMCPMC3923136

What OpenQuestion holds

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LicenceCC BY
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.