Evidence map›Paper›PMID 22929433›Full record

ArticleBreast cancer research : BCR2012

Tumour morphology of early-onset breast cancers predicts breast cancer risk for first-degree relatives: the Australian Breast Cancer Family Registry.

Gillian S Dite, Enes Makalic, Daniel F Schmidt, Graham G Giles, John L Hopper, Melissa C Southey

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2012. 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
1.0field-weighted citation impact, top 20% 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, 10 citations in OpenAlex.

  1. International journal of molecular sciences · 2020
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. PALB2 and breast cancer: ready for clinical translation!The application of clinical genetics · 2013
    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.

Gillian S Dite
Enes Makalic
Daniel F Schmidt
Graham G Giles
John L Hopper
Melissa C Southey
University of Melbourne · AU

Funding

Northern California Cooperative Family Registry for Breast CancerU01CA069417 · NCI · NORTHERN CALIFORNIA CANCER CENTER · PI JOHN, ESTHER M. · 1995 to 2010
$22.4M
METROPOLITAN NEW YORK REGISTRY OF BREAST CANCER FAMILIESU01CA069398 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI TERRY, MARY BETH · 1995 to 2010
$10.5M
ONTARIO REGISTRY FOR STUDIES OF FAMILIAL BREAST CANCERU01CA069467 · NCI · CANCER CARE ONTARIO · PI ANDRULIS, IRENE L. · 1995 to 2010
$10.4M
Philadelphia Breast Cancer Family RegistryU01CA069631 · NCI · FOX CHASE CANCER CENTER · PI DALY, MARY BERYL · 1995 to 2010
$7.4M
THE AUSTRALIAN BREAST CANCER FAMILY REGISTRYU01CA069638 · NCI · UNIVERSITY OF MELBOURNE · PI HOPPER, JOHN L · 1995 to 2010
$6.6M
Utah Breast Cancer Family RegistryU01CA069446 · NCI · UNIVERSITY OF UTAH · PI BUYS, SAUNDRA S · 1995 to 2010
$4.6M
NCI NIH HHS U01 CA69398NCI NIH HHS U01 CA69417NCI NIH HHS U01 CA69446NCI NIH HHS U01 CA69467NCI NIH HHS U01 CA69631NCI NIH HHS U01 CA69638
6 · The paper itself

Abstract

introductionWe hypothesised that breast cancer risk for relatives of women with early-onset breast cancer could be predicted by tumour morphological features.

methodsWe studied female first-degree relatives of a population-based sample of 452 index cases with a first primary invasive breast cancer diagnosed before the age of 40 years. For the index cases, a standardised tumour morphology review had been conducted for all; estrogen (ER) and progesterone receptor (PR) status was available for 401 (89%), and 77 (17%) had a high-risk mutation in a breast cancer susceptibility gene or methylation of the BRCA1 promoter region in peripheral blood DNA. We calculated standardised incidence ratios (SIR) by comparing the number of mothers and sisters with breast cancer with the number expected based on Australian incidence rates specific for age and year of birth.

resultsUsing Cox proportional hazards modelling, absence of extensive sclerosis, extensive intraductal carcinoma, absence of acinar and glandular growth patterns, and the presence of trabecular and lobular growth patterns were independent predictors with between a 1.8- and 3.1-fold increased risk for relatives (all P <0.02). Excluding index cases with known genetic predisposition or BRCA1 promoter methylation, absence of extensive sclerosis, circumscribed growth, extensive intraductal carcinoma and lobular growth pattern were independent predictors with between a 2.0- and 3.3-fold increased risk for relatives (all P <0.02). Relatives of the 128 (34%) index cases with none of these four features were at population risk (SIR = 1.03, 95% CI = 0.57 to 1.85) while relatives of the 37 (10%) index cases with two or more features were at high risk (SIR = 5.18, 95% CI = 3.22 to 8.33).

conclusionsThis wide variation in risks for relatives based on tumour characteristics could be of clinical value, help discover new breast cancer susceptibility genes and be an advance on the current clinical practice of using ER and PR as pathology-based predictors of familial and possibly genetic risks.

Indexed as

RiskAdultAge of OnsetAustraliaBreast NeoplasmsDNA MethylationFamilyFemaleGenes, BRCA1HumansMutationNeoplasm GradingNeoplasm StagingPromoter Regions, GeneticProportional Hazards ModelsRegistries

Identifiers

PMID22929433
PMCPMC3680941
OpenAlexW2144253091

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.