Evidence map›Paper›PMID 31120568›Full record

ArticleCancer2019

Breast cancer histologic subtypes show excess familial clustering.

N Lynn Henry, Lisa A Cannon-Albright

Abstract read
In one paragraph

Article in Cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

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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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Joint EANM-SNMMI guideline on the role of 2-[European journal of nuclear medicine and molecular imaging · 2024
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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

2 authors.

N Lynn HenryDivision of Oncology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah.ORCID https://orcid.org/0000-0002-4771-5930
Lisa A Cannon-AlbrightHuntsman Cancer Institute, Salt Lake City, Utah.ORCID https://orcid.org/0000-0003-2602-3668

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI KATHARINE S ULLMAN · 1986 to 2026
$72.6M
CDC HHS NU58DP0063200-01Huntsman Cancer FoundationHuntsman Cancer Institute P30 CA42014NCI NIH HHS HHSN261201800016CNCI NIH HHS HHSN261201800016INCI NIH HHS P30 CA042014University of UtahUtah Cancer Registry
6 · The paper itself

Abstract

backgroundThe inherited predisposition to developing specific histologic subtypes of invasive breast carcinoma has been incompletely investigated. By using a large, population-based database, the authors sought to investigate familial clustering of breast cancer by histologic subtype.

methodsBy using the Utah Population Database, which links genealogy records to the National Cancer Institute's statewide Surveillance, Epidemiology, and End Results cancer registry, the authors identified patients with breast cancer by histology and tested for evidence of shared genetic predisposition to histologic specific subtypes by examining pairwise relatedness and estimating the relative risk (RR) among first-degree, second-degree, and third-degree relatives.

resultsThe authors identified 23,629 individuals in the Utah Population Database who had at least 3 generations of genealogy and at least 1 primary breast cancer, 2883 (12.2%) of which were specific histologic subtypes other than invasive ductal carcinoma (including inflammatory [n = 178], lobular [n = 1688], and mucinous [n = 542]). Statistically significant excess distant relatedness was identified for the mucinous subtype (P = .011) as well as for inflammatory breast cancers (P = .024). The RR for breast cancer of any histology in second-degree relatives was significantly increased for patients with inflammatory (RR, 1.32; 95% CI, 1.02-1.68; P = .03), lobular (RR, 1.36; 95% CI, 1.25-1.47; P < .001), and mucinous (RR, 1.27; 95% CI, 1.12-1.44; P = .00021) subtypes.

conclusionsThese findings provide evidence for significant familial clustering within histological subtypes for lobular, mucinous, and inflammatory breast carcinomas. Further research is required to identify the underlying genetic variants responsible for the increased risk. Studies of high-risk pedigrees segregating a specific histologic subtype could be a powerful design for predisposition gene identification.

Indexed as

Adenocarcinoma, MucinousBreast NeoplasmsCarcinoma, LobularFamilyFemaleGenetic Predisposition to DiseaseHumansInflammatory Breast NeoplasmsMiddle AgedPedigreeSEER ProgramUtahbreast cancerfamilialityinflammatorylobularmucinousUtah Population Database (UPDB)

Identifiers

PMID31120568
PMCPMC6716995

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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.