Evidence map›Paper›PMID 28376198›Full record

ArticleJournal of the National Cancer Institute2017

Breast Cancer Risk and Progressive Histology in Serial Benign Biopsies.

Daniel W Visscher, Ryan D Frank, Jodi M Carter, Robert A Vierkant, Stacey J Winham, Ethan P Heinzen, Brendan T Broderick, Lori A Denison, Teresa M Allers, Joanne L Johnson and 4 more

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Systematic analysis of breast atypical hyperplasia-associated hub genes and pathways based on text mining.European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) · 2019
    Article
  11. Model for Predicting Breast Cancer Risk in Women With Atypical Hyperplasia.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
    Article
  12. Article
  13. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Daniel W VisscherDepartment of Laboratory Medicine and Pathology, Mayo Clinic Rochester, MN, USA.
Ryan D FrankDepartments of Health Science Research, Mayo Clinic Jacksonville, FL, USA.
Jodi M CarterDepartment of Laboratory Medicine and Pathology, Mayo Clinic Rochester, MN, USA.
Robert A VierkantDepartment of Health Sciences Research, Mayo Clinic Rochester, MN, USA.
Stacey J WinhamDepartment of Health Sciences Research, Mayo Clinic Rochester, MN, USA.
Ethan P HeinzenDepartment of Health Sciences Research, Mayo Clinic Rochester, MN, USA.
Brendan T BroderickDepartment of Health Sciences Research, Mayo Clinic Rochester, MN, USA.
Lori A DenisonDepartment of Information Technology, Mayo Clinic Rochester, MN, USA.
Teresa M AllersDepartment of Oncology, Mayo Clinic Rochester, MN, USA.
Joanne L JohnsonDepartment of Oncology, Mayo Clinic Rochester, MN, USA.
Marlene H FrostDepartment of Oncology, Mayo Clinic Rochester, MN, USA.
Lynn C HartmannDepartment of Oncology, Mayo Clinic Rochester, MN, USA.
Amy C DegnimDepartment of Surgery, Mayo Clinic Rochester, MN, USA.
Derek C RadiskyCancer Biology, Mayo Clinic Jacksonville, FL, USA.

Funding

The Role of CHFR in Tumorigenesis and Paclitaxel-Sensitivity in Breast CancerP50CA116201 · NCI · MAYO CLINIC ROCHESTER · PI PETER C LUCAS · 2005 to 2026
$49.9M
Molecular Discriminators in Benign Breast Tissue for Future Risk of ER positive aR01CA187112 · NCI · MAYO CLINIC ROCHESTER · PI DEGNIM, AMY C · 2014 to 2018
$2.9M
NCI NIH HHS P50 CA116201NCI NIH HHS R01 CA187112
6 · The paper itself

Abstract

Background: More than 1 million women per year in the United States with benign breast biopsies are known to be at elevated risk for breast cancer (BC), with risk stratified on histologic categories of epithelial proliferation. Here we assessed women who had serial benign biopsies over time and how changes in the histologic classification affected BC risk. Methods: In the Mayo Clinic Benign Breast Disease Cohort of 13 466 women, 1414 women had multiple metachronous benign biopsies (10.5%). Both initial and subsequent biopsies were assessed histologically. BC risk for clinical and prognostic factors was assessed using subdistribution models to account for competing risks, and logistic regression/Wilcoxon/chi-square tests to assess covariates. All statistical tests were two-sided. Results: Breast cancer risk for women with serial biopsies, stratified by histologic category in the later biopsies, was similar to women with a single biopsy. We found that changes in histological category between initial and subsequent biopsy statistically significantly impacted BC risk. Women with nonproliferative initial findings and subsequent proliferative findings had an increased risk (hazard ratio [HR] = 1.77, 95% confidence interval [CI] = 1.06 to 2.94, P = .03) compared with no change. Among women with proliferative disease without atypia at initial biopsy, risk decreased if later biopsy regressed to nonproliferative (HR = 0.49, 95% CI = 0.25 to 0.98) and increased if later biopsy showed progression to atypical hyperplasia (HR = 1.49, 95% CI = 0.73 to 3.05) compared with no change ( P = .04). Conclusions: We found that breast cancer risk increases in women with progressive epithelial proliferation over time and decreases in women whose biopsies show less proliferation. This finding has important implications for effective clinical management of the 100 000 women per year who have multiple benign breast biopsies.

Indexed as

AdolescentAdultAgedAged, 80 and overBiopsyBreast DiseasesBreast NeoplasmsCohort StudiesDisease ProgressionFemaleHumansMiddle AgedPrecancerous ConditionsPrognosisRisk FactorsYoung Adult

Identifiers

PMID28376198
PMCPMC5412118

What OpenQuestion holds

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Registered trials

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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.