Evidence map›Paper›PMID 27141069›Full record

ReviewAnnals of oncology : official journal of the European Society for Medical Oncology2016

Epithelial ovarian cancer: the molecular genetics of epithelial ovarian cancer.

J Krzystyniak, L Ceppi, D S Dizon, M J Birrer

Open access · bronzeAbstract readReview
In one paragraph

Review in Annals of oncology : official journal of the European Society for Medical Oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.5field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 78 citations in OpenAlex.

  1. Article
  2. TiMikrochimica acta · 2025
    Article
  3. Article
  4. KRAS mutation in primary ovarian serous borderline tumors correlates with tumor recurrence.Virchows Archiv : an international journal of pathology · 2023
    Article
  5. Review
  6. Molecular Status ofIranian journal of pathology · 2023
    Article
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  10. Review
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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 at 2 institutions in 1 country.

J KrzystyniakCenter for Cancer Research, Massachusetts General Hospital, Boston.
L CeppiCenter for Cancer Research, Massachusetts General Hospital, Boston.
D S DizonDivision of Gynecologic Oncology, Massachusetts General Hospital Cancer Center, Boston Department of Medicine, Harvard Medical School, Boston, USA.
M J BirrerCenter for Cancer Research, Massachusetts General Hospital, Boston Division of Gynecologic Oncology, Massachusetts General Hospital Cancer Center, Boston Department of Medicine, Harvard Medical School, Boston, USA mbirrer@partners.org.
Harvard University · USMassachusetts General Hospital · US

Funding

Genomic Stratification of Ovarian Cancer PatientsRC4CA156551 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BIRRER, MICHAEL · 2010 to 2010
$3.7M
The FGF18/FGFR4 amplicon: Novel therapeutic biomarkers for ovarian cancerR01CA169200 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BIRRER, MICHAEL, MOK, SAMUEL C · 2013 to 2017
$1.9M
Novel Biomarkers in Ovarian CancerR01CA142832 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BIRRER, MICHAEL · 2010 to 2014
$1.7M
NCI NIH HHS R01 CA142832NCI NIH HHS R01 CA169200NCI NIH HHS RC4 CA156551
6 · The paper itself

Abstract

backgroundEpithelial ovarian cancer (EOC) remains one of the leading causes of cancer-related deaths among women worldwide, despite gains in diagnostics and treatments made over the last three decades. Existing markers of ovarian cancer possess very limited clinical relevance highlighting the emerging need for identification of novel prognostic biomarkers as well as better predictive factors that might allow the stratification of patients who could benefit from a more targeted approach. PATIENTS AND

methodsA summary of molecular genetics of EOC.

resultsLarge-scale high-throughput genomic technologies appear to be powerful tools for investigations into the genetic abnormalities in ovarian tumors, including studies on dysregulated genes and aberrantly activated signaling pathways. Such technologies can complement well-established clinical histopathology analysis and tumor grading and will hope to result in better, more tailored treatments in the future. Genomic signatures obtained by gene expression profiling of EOC may be able to predict survival outcomes and other important clinical outcomes, such as the success of surgical treatment. Finally, genomic analyses may allow for the identification of novel predictive biomarkers for purposes of treatment planning. These data combined suggest a pathway to progress in the treatment of advanced ovarian cancer and the promise of fulfilling the objective of providing personalized medicine to women with ovarian cancer.

conclusionsThe understanding of basic molecular events in the tumorigenesis and chemoresistance of EOC together with discovery of potential biomarkers may be greatly enhanced through large-scale genomic studies. In order to maximize the impact of these technologies, however, extensive validation studies are required.

Indexed as

Biomarkers, TumorCarcinoma, Ovarian EpithelialFemaleGene ExpressionHumansKaplan-Meier EstimateMolecular BiologyNeoplasms, Glandular and EpithelialOvarian NeoplasmsSquamous Intraepithelial Lesions of the CervixBiomarkers, Tumorbiomarkersclinical trialsgenomicsovarian cancer

Identifiers

PMID27141069
PMCPMC4852274
OpenAlexW2345526181

What OpenQuestion holds

Textmetadata
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.