Evidence map›Paper›PMID 30069056›Full record

ArticleScientific reports2018

Familial Ovarian Cancer Clusters with Other Cancers.

Guoqiao Zheng, Hongyao Yu, Anna Kanerva, Asta Försti, Kristina Sundquist, Kari Hemminki

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
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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

6 authors.

Guoqiao ZhengDivision of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany. g.zheng@dkfz.de.ORCID 0000-0003-4337-9017
Hongyao YuDivision of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Anna KanervaCancer Gene Therapy Group, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Asta FörstiDivision of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Kristina SundquistCenter for Primary Health Care Research, Lund University, 205 02, Malmö, Sweden.
Kari HemminkiDivision of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Familial risk of ovarian cancer is well-established but whether ovarian cancer clusters with other cancers and the clusters differ by histology remains uncertain. Using data from the Swedish Family-Cancer Database, we explored familial associations of ovarian cancer with other cancers with a novel approach; relative risk for (histology-specific) ovarian cancer was estimated in families with patients affected by other cancers, and conversely, risks for other cancers in families with (histology-specific) ovarian cancer patients. Eight discordant cancers were associated with ovarian cancer risk, of which family history of breast cancer showed a dose-response (P-trend <0.0001). Conversely, risks of eight types of cancer increased in families with ovarian cancer patients, and dose-responses were shown for risks of liver (P-trend = 0.0083) and breast cancers (P-trend <0.0001) and cancer of unknown primary (P-trend = 0.0157). Some cancers were only associated with histology-specific ovarian cancers, e.g. endometrial cancer was only associated with endometrioid type but with highest significance. Novel associations with virus-linked cancers of the nose and male and female genitals were found. The results suggest that ovarian cancer shares susceptibility with a number of other cancers. This might alert genetic counselors and challenge approaches for gene and gene-environment identification.

Indexed as

Genetic Predisposition to DiseaseBreast NeoplasmsCluster AnalysisEndometrial NeoplasmsFemaleHumansLiver NeoplasmsMiddle AgedOvarian NeoplasmsRisk AssessmentSweden

Identifiers

PMID30069056
PMCPMC6070489

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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.