Evidence map›Paper›PMID 42611528›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2026

Advancing Evidence of the Associations between specific Benign Breast Diagnoses and Future Breast Cancer Risk.

Olivia Sattayapiwat, Donald L Weaver, Alexander D Borowsky, Theresa H M Keegan, Brian L Sprague, Karla Kerlikowske, Diana L Miglioretti

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Olivia SattayapiwatUniversity of California, Davis Davis, CA United States.ORCID 0000-0001-7302-946X
Donald L WeaverUniversity of Vermont Burlington, VT United States.ORCID 0009-0003-9946-9369
Alexander D BorowskyUniversity of California, San Francisco San Francisco, CA United States.ORCID 0000-0003-3117-9202
Theresa H M KeeganUC Davis Comprehensive Cancer Center Sacramento, CA United States.ORCID 0000-0002-1961-4008
Brian L SpragueUniversity of Vermont Burlington, Vermont United States.ORCID 0000-0001-7948-8317
Karla KerlikowskeUniversity of California, San Francisco San Francisco, CA United States.ORCID 0000-0001-8793-8779
Diana L MigliorettiUniversity of California, Davis Davis, CA United States.ORCID 0000-0002-5547-1833

Funding

Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KARLA M KERLIKOWSKE · 2011 to 2026
$52.9M
Understanding Factors Influencing COVID-19 Testing and Vaccination in Immigrant Low-income and Homeless Populations and Testing Targeted InterventionsU54GM115516 · NIGMS · MAINEHEALTH · PI CLIFFORD JAMES ROSEN · 2017 to 2026
$51.6M
Clinical breast cancer risk prediction models for women with a high-risk benign breast diagnosisR01CA282725 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI Brian L Sprague, Donald Lee Weaver · 2023 to 2026
$3.0M
Advancing Evidence of the Associations between specific Benign Breast Diagnoses and Future Breast Cancer RiskF31CA271738 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SATTAYAPIWAT, OLIVIA KAYAN · 2022 to 2024
$120k
NCI NIH HHS F31 CA271738NCI NIH HHS P01 CA154292NCI NIH HHS R01 CA282725NIGMS NIH HHS U54 GM115516
6 · The paper itself

Abstract

backgroundBenign breast disease (BBD) increases breast cancer risk; however, associations between specific BBD diagnoses and breast cancer risk are insufficiently studied.

methodsWe analyzed 131,075 benign breast biopsy episodes from 1994-2022 identified from eight Breast Cancer Surveillance Consortium registries. Pathological diagnoses were classified into 38 BBDs within 4 categories. For comparison, women with no prior breast biopsy and a negative screening mammogram (N=1,599,694) were identified. Associations of BBDs with invasive breast carcinoma and ductal carcinoma in situ (DCIS) were estimated using Fine-Gray competing risk models.

resultsOver a median follow-up of 7.5 years, 35,251 invasive breast cancers and 9,743 DCIS cases occurred. Lobular carcinoma in situ was associated with a 5.61-fold (95% confidence interval [CI]: 4.10-7.68) increased risk of invasive carcinoma and an 8.82-fold (95% CI: 5.39-14.4) increased risk of DCIS. Among proliferative changes with atypia BBDs, invasive cancer hazard ratios (HRs) ranged from 2.76-4.85; DCIS HRs, 5.07-8.51. Among proliferative changes without atypia BBDs, invasive HRs ranged from near-null (papillomatosis) to moderate and strong associations (e.g., HR=1.55 for usual ductal hyperplasia and 2.84 for multiple papillomas); DCIS HRs=1.37-5.04. Nonproliferative BBDs were associated with low-to-moderate risk (invasive HRs=0.63 for atrophy to 2.16 for benign breast parenchyma; DCIS HRs=0.66-4.29). Most associations declined with increasing time since biopsy.

conclusionsAssociations between BBDs and breast cancer varied widely within commonly used histologic categories. IMPACT: Advancing knowledge of specific BBD diagnoses may improve breast cancer risk prediction and support targeted screening and prevention strategies.

Identifiers

PMID42611528
PMCPMC13566914

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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.