Evidence map›Paper›PMID 18842102›Full record

ReviewAnnual review of pathology2009

Ovarian cancer.

Kathleen R Cho, Ie-Ming Shih

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Annual review of pathology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05801796 (Analyzing Factors of Patient Involvement in Ovarian Cancer Clinical Trials), which is not on this map. Cited by 440 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
440citing papers in PubMed, 2 pooled it
29.7field-weighted citation impact, top 1% 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.

NCT05801796 unknown statusnot on this mapstarted 2024, after this paper: background citation

Analyzing Factors of Patient Involvement in Ovarian Cancer Clinical Trials

TypeobservationalSponsorPower Life Sciences Inc.Ran2024 to 2026Enrolled500ConditionsOvarian Cancer
3 · Its place in the literature

Who cites it

440 citing papers in PubMed, 2 syntheses or guidelines pooled it, 687 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

380 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Kathleen R ChoDepartments of Pathology and Internal Medicine and the Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA. kathcho@umich.edu
Ie-Ming Shih
Johns Hopkins University · USUniversity of Michigan–Ann Arbor · US

Funding

Molecular Pathogenesis of Ovarian Endometrioid AdenocarcinomasR01CA094172 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHO, KATHLEEN R. · 2002 to 2011
$2.8M
Molecular Diagnostics for Malignant EffusionR01CA103937 · NCI · JOHNS HOPKINS UNIVERSITY · PI SHIH, IE-MING · 2004 to 2012
$2.7M
The Roles of HBXAP Gene in Ovarian CancerR01CA129080 · NCI · JOHNS HOPKINS UNIVERSITY · PI SHIH, IE-MING · 2008 to 2012
$1.7M
NCI NIH HHS R01 CA 103937NCI NIH HHS R01 CA103937NCI NIH HHS R01 CA 129080NCI NIH HHS R01 CA129080NCI NIH HHS R01 CA 94172
6 · The paper itself

Abstract

Ovarian carcinomas are a heterogeneous group of neoplasms and are traditionally subclassified based on type and degree of differentiation. Although current clinical management of ovarian carcinoma largely fails to take this heterogeneity into account, it is becoming evident that each major histological type has characteristic genetic defects that deregulate specific signaling pathways in the tumor cells. Moreover, within the most common histological types, the molecular pathogenesis of low-grade versus high-grade tumors appears to be largely distinct. Mouse models of ovarian carcinoma have been developed that recapitulate many of the morphological features, biological behavior, and gene-expression patterns of selected subtypes of ovarian cancer. Such models will likely prove useful for studying ovarian cancer biology and for preclinical testing of molecularly targeted therapeutics, which may ultimately lead to better clinical outcomes for women with ovarian cancer.

Indexed as

Ovarian NeoplasmsAnimalsCell DifferentiationDisease Models, AnimalEarly Detection of CancerFemaleGene Expression Regulation, NeoplasticGenotypeHumansMicePatient SelectionPhenotypeTerminology as TopicTreatment Outcome

Identifiers

PMID18842102
PMCPMC2679364
OpenAlexW4212835986

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.