Evidence map›Paper›PMID 24265398›Full record

ReviewAnnals of oncology : official journal of the European Society for Medical Oncology2013

Clinical implications of using molecular diagnostics for ovarian cancers.

E C Kohn, S Romano, J-M Lee

Open access · bronzeAbstract readReview
In one paragraph

Review in Annals of oncology : official journal of the European Society for Medical Oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
  3. Mathematical models of breast and ovarian cancers.Wiley interdisciplinary reviews. Systems biology and medicine · 2016
    Review
  4. Article
  5. Article
  6. Review
  7. Review
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 at 1 institution in 1 country.

E C KohnMolecular Signaling Section, Medical Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda.
S Romano
J-M Lee
National Institutes of Health · US

Funding

Targeting DNA damage repair and related pathways in HRD-womens cancersZIABC011525 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LEE, JUNG-MIN · 2013 to 2025
$14.8M
Intramural NIH HHS
6 · The paper itself

Abstract

In the era of morphologic diagnostics, any epithelial tumor on or involving the ovaries was presumed to come from and be strictly of ovarian origin, apart from the rare but clearly metastatic tumors. Thus, many women who might have had small fallopian tube primary cancers that rapidly extended on to or into the ovary were deemed to have ovarian cancer. Now, as we begin to better understand that there are different types of cancers of nonuterine Muellerian origin, we expand upon the morphologic to add the molecular characteristics. Morphomolecular characteristics are being applied to drive clinical advances including development and optimization of predictive and prognostic biomarkers, redefinition of historical controls, and consideration of novel clinical trial designs. Ovarian cancer, not a common cancer to start with, is now subdivided into types, making ever smaller clinical cohorts. The first studies evaluating tubo-ovarian Muellerian cancers of morphomolecular types have begun. Deleterious mutations in BRCA1 or 2 have been validated as the first new predictive and prognostic biomarker of the high-grade serous ovarian cancer type and polyADPribose polymerase inhibitors, the first targeted agents for this morphomolecular entity. Similar progress is developing in other tubo-ovarian cancer types. This new knowledge is driving the building of a structure-function-type relationship that is generating novel clinically applicable hypotheses for testing.

Indexed as

BRCA1 ProteinBRCA2 ProteinPathology, MolecularBiomarkers, TumorFemaleHumansMolecular Targeted TherapyMutationNeoplasm GradingOvarian NeoplasmsOvaryPrognosisBiomarkers, TumorBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanbiomarkerhigh-grade serous ovarian cancermolecularmorphologicaltherapeutics

Identifiers

PMID24265398
PMCPMC3836571
OpenAlexW2133688489

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.