Evidence map›Paper›PMID 30082473›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2018

Family History of Breast or Prostate Cancer and Prostate Cancer Risk.

Lauren Barber, Travis Gerke, Sarah C Markt, Samuel F Peisch, Kathryn M Wilson, Thomas Ahearn, Edward Giovannucci, Giovanni Parmigiani, Lorelei A Mucci

Abstract readHistorical Article
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 7 pooled it
5.2field-weighted citation impact, top 4% 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

53 citing papers in PubMed, 7 syntheses or guidelines pooled it, 100 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Lauren BarberDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Travis GerkeDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Sarah C MarktDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Samuel F PeischDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. speisch@hsph.harvard.edu lmucci@hsph.harvard.edu.
Kathryn M WilsonDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Thomas AhearnDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Edward GiovannucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Giovanni ParmigianiDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Lorelei A MucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. speisch@hsph.harvard.edu lmucci@hsph.harvard.edu.
Boston University · US

Funding

VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI A. Heather Eliassen · 1985 to 2026
$330.6M
Tumor and Circulating Markers as Links Between Obesity and Lethal Prostate CanceP50CA090381 · NCI · DANA-FARBER CANCER INSTITUTE · PI LODA, MASSIMO · 2002 to 2017
$36.2M
Training Program in Cancer EpidemiologyT32CA009001 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI A. Heather Eliassen, Meir Stampfer · 1985 to 2026
$17.3M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
NCI NIH HHS P30 CA006516NCI NIH HHS P50 CA090381NCI NIH HHS R01 CA034944NCI NIH HHS T32 CA009001NCI NIH HHS U01 CA167552NCI NIH HHS UM1 CA167552
6 · The paper itself

Abstract

purposeBreast and prostate cancer co-occur in families, and women with a family history of prostate cancer are at increased breast cancer risk. Prostate cancer is among the most heritable cancers, but few studies have investigated its association with familial breast cancer. The objective of this study is to investigate the extent to which familial breast or prostate cancer in first-degree relatives increases prostate cancer risk. EXPERIMENTAL

designA prospective study of 37,002 U.S. men in the Health Professionals Follow-up Study. During the 16-year follow-up to 2012, 4,208 total and 344 lethal cases were diagnosed. Using cause-specific hazards regression, we estimated the multivariable HRs and 95% confidence intervals (CI) for associations between familial breast or prostate cancer and total and lethal prostate cancer.

resultsThose with familial breast cancer had a 21% greater risk of prostate cancer overall (95% CI, 1.10-1.34), and a 34% greater risk of lethal disease (HR 1.34; 95% CI, 0.96-1.89). Family history of prostate cancer alone was associated with a 68% increased risk of total disease (95% CI, 1.53-1.83) and a 72% increased risk of lethal disease (95% CI, 1.25-2.38). Men with a family history of both cancers were also at elevated risk.

conclusionsOur study found that men with a family history of breast or prostate cancer had elevated prostate cancer risks, including risk of lethal disease. These findings have translational relevance for cancer risk prediction in men.

Indexed as

AdultAgedBreast NeoplasmsFemaleFollow-Up StudiesHistory, 20th CenturyHistory, 21st CenturyHumansMaleMiddle AgedProstatic NeoplasmsPublic Health SurveillanceRisk AssessmentRisk Factors

Identifiers

PMID30082473
PMCPMC6279573
OpenAlexW2885066998

What OpenQuestion holds

Textmetadata
LicenceTDM
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.