Evidence map›Paper›PMID 22586072›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2012

Modeling of the growth kinetics of occult breast tumors: role in interpretation of studies of prevention and menopausal hormone therapy.

Richard J Santen, Wei Yue, Daniel F Heitjan

Open access · greenAbstract 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, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
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  4. Review
  5. Article
  6. Review
  7. Menopausal hormone therapy and breast cancer: what is the evidence from randomized trials?Climacteric : the journal of the International Menopause Society · 2018
    Review
  8. Article
  9. Article
  10. Aromatase expression in atypical ductal hyperplasia in women.Breast cancer research and treatment · 2017
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
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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

3 authors at 1 institution in 1 country.

Richard J SantenDepartment of Internal Medicine, Division of Endocrinology, University of Virginia, Charlottesville, VA 22908, USA. rjs5y@virginia.edu
Wei Yue
Daniel F Heitjan
University of Pennsylvania · US

Funding

Development of Breast Cancer Risk Model Based on Estrogen MetabolomicsR01CA158328 · NCI · UNIVERSITY OF VIRGINIA · PI BLAIR, IAN ALEXANDER, HEITJAN, DANIEL FRANCIS · 2012 to 2013
$779k
NCI NIH HHS R01 CA158328
6 · The paper itself

Abstract

backgroundAutopsy studies report a reservoir of small, occult, undiagnosed breast cancers in up to 15.6% of women dying from unrelated causes. The effective doubling times (EDT) of these occult neoplasms range from 70 to 350 days and mammographic detection threshold diameters from 0.88 to 1.66 cm. Modeling of the biologic behavior of these occult tumors facilitates interpretation of tamoxifen breast cancer prevention and menopausal hormone therapy studies.

methodsWe used iterative and mathematical techniques to develop a model of occult tumor growth (OTG) whose parameters included prevalence, EDT, and detection threshold. The model was validated by comparing predicted with observed incidence of breast cancer in several populations.

resultsIterative analysis identified a 200-day EDT, 7% prevalence and 1.16 cm detection threshold as optimal parameters for an OTG model as judged by comparison with Surveillance Epidemiology and End Results (SEER) population incidence rates in the United States. We validated the model by comparing predicted incidence rates with those observed in five separate population databases, in three long-term contralateral breast cancer detection studies, and with data from a computer-simulated tumor growth (CSTG) model. Our model strongly suggests that breast cancer prevention with anti-estrogens or aromatase inhibitors represents early treatment not prevention. In addition, menopausal hormone therapy does not primarily induce de novo tumors but promotes the growth of occult lesions.

conclusionsOur OGTG model suggests that occult, undiagnosed tumors are prevalent, grow slowly, and are the biologic targets of anti-estrogen therapy for prevention and hormone therapy for menopausal women.

Indexed as

Hormone Replacement TherapyMenopauseModels, StatisticalAgedAntineoplastic Agents, HormonalBreast NeoplasmsFemaleHumansIncidenceMiddle AgedNeoplasms, Hormone-DependentTamoxifenUnited StatesAntineoplastic Agents, HormonalTamoxifen

Identifiers

PMID22586072
PMCPMC4589189
OpenAlexW2111481441

What OpenQuestion holds

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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.