Evidence map›Paper›PMID 27983698›Full record

ReviewInternational journal of molecular sciences2016

Molecular Characterization of Epithelial Ovarian Cancer: Implications for Diagnosis and Treatment.

Veronica Rojas, Kim M Hirshfield, Shridar Ganesan, Lorna Rodriguez-Rodriguez

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 1 pooled it
–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

139 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Frontiers in pharmacology · 2026
    Article
  3. Article
  4. Article
  5. Functional validation of somatic variability inCancer biology & therapy · 2025
    Article
  6. LncRNANon-coding RNA research · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Innovative landscapes in intraperitoneal therapy of ovarian cancer.Drug delivery and translational research · 2025
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Epigenetic Modulation of Estrogen Receptor Signaling in Ovarian Cancer.International journal of molecular sciences · 2024
    Review
  19. Establishment of Novel High-Grade Serous Ovarian Carcinoma Cell Line OVAR79.International journal of molecular sciences · 2024
    Article
  20. Article

79 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

4 authors.

Veronica RojasDepartment Obstetrics/Gynecology and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, 125 Paterson Street, New Brunswick, NJ 08901, USA. vr252@rwjms.rutgers.edu.
Kim M HirshfieldDepartment of Medicine, Division of Medical Oncology, Rutgers Robert Wood Johnson Medical School, Rutgers Cancer Institute of New Jersey, 195 Little Albany Street, New Brunswick, NJ 08903, USA. hirshfie@cinj.rutgers.edu.
Shridar GanesanDepartment of Medicine, Division of Medical Oncology, Rutgers Robert Wood Johnson Medical School, Rutgers Cancer Institute of New Jersey, 195 Little Albany Street, New Brunswick, NJ 08903, USA. ganesasn@cinj.rutgers.edu.
Lorna Rodriguez-RodriguezPrecision Medicine Oncology, Rutgers Cancer Institute of New Jersey, 195 Little Albany Street, New Brunswick, NJ 08903, USA. rodriglo@cinj.rutgers.edu.

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Chang S Chan · 1997 to 2026
$94.5M
NCI NIH HHS P30 CA072720
6 · The paper itself

Abstract

Epithelial ovarian cancer is a highly heterogeneous disease characterized by multiple histological subtypes. Molecular diversity has been shown to occur within specific histological subtypes of epithelial ovarian cancer, between different tumors of an individual patient, as well as within individual tumors. Recent advances in the molecular characterization of epithelial ovarian cancer tumors have provided the basis for a simplified classification scheme in which these cancers are classified as either type I or type II tumors, and these two categories have implications regarding disease pathogenesis and prognosis. Molecular analyses, primarily based on next-generation sequencing, otherwise known as high-throughput sequencing, are allowing for further refinement of ovarian cancer classification, facilitating the elucidation of the site(s) of precursor lesions of high-grade serous ovarian cancer, and providing insight into the processes of clonal selection and evolution that may be associated with development of chemoresistance. Potential therapeutic targets have been identified from recent molecular profiling studies of these tumors, and the effectiveness and safety of a number of specific targeted therapies have been evaluated or are currently being studied for the treatment of women with this disease.

Indexed as

Carcinoma, Ovarian EpithelialEarly Detection of CancerFemaleGenetic HeterogeneityHumansModels, BiologicalMolecular Targeted TherapyNeoplasms, Glandular and EpithelialOvarian Neoplasmsepithelial ovarian cancerhigh throughput sequencingnext-generation sequencing

Identifiers

PMID27983698
PMCPMC5187913

What OpenQuestion holds

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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.