Evidence map›Paper›PMID 32046210›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Transmission of X-linked Ovarian Cancer: Characterization and Implications.

John Lewis Etter, Kirsten Moysich, Shaun Kohli, Shashikant Lele, Kunle Odunsi, Kevin H Eng

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 1 institution in 1 country.

John Lewis EtterDepartment of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
Kirsten MoysichDepartment of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
Shaun KohliDepartment of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
Shashikant LeleDepartment of Gynecologic Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
Kunle OdunsiDepartment of Gynecologic Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
Kevin H EngDepartment of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
Roswell Park Comprehensive Cancer Center · US

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI CANDACE S JOHNSON · 1985 to 2026
$116.6M
Network Lead Academic Participating Site Grant from the Roswell Park Cancer InstituteUG1CA233191 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI LELE, SHASHIKANT, LEVINE, ELLIS G · 2019 to 2025
$3.1M
Interdisciplinary Training in Cancer Epidemiology at UBT32CA113951 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI FREUDENHEIM, JO L., MOYSICH, KIRSTEN B. · 2017 to 2021
$693k
NCI NIH HHS P30CA016056NCI NIH HHS T32 CA113951NCI NIH HHS T32CA113951NCI NIH HHS UG1 CA233191U.S. Department of Defense OC170368
6 · The paper itself

Abstract

We recently reported evidence that a strong, BRCA-independent locus on the X-chromosome may contribute to ovarian cancer predisposition in families ascertained from the Familial Ovarian Cancer Registry (Buffalo, NY, USA). While it has been estimated that approximately 20% of all ovarian cancer cases are hereditary, it is possible that a significant proportion of cases previously believed to be sporadic may, in fact, be X-linked. Such X-linked disease has a distinct pattern; it implies that a father will necessarily pass a risk allele to each of his daughters, increasing the prevalence of cancers clustered within a family. X-chromosome inactivation further influences the expression of X-linked alleles and may represent a novel target for screening and therapy. Herein, we review the current literature regarding X-linked ovarian cancer and interpret allele transmission-based models to characterize X-linked ovarian cancer and develop a framework for clinical and epidemiological familial ascertainment to inform the design of future studies.

Indexed as

familial cancerhereditary cancerovarian cancerX-linked disease

Identifiers

PMID32046210
PMCPMC7167857
OpenAlexW3004674896

What OpenQuestion holds

Textmetadata
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.