Evidence map›Paper›PMID 26391916›Full record

Trial reportCancer prevention research (Philadelphia, Pa.)2015

Clinical Trial of Acolbifene in Premenopausal Women at High Risk for Breast Cancer.

Carol J Fabian, Bruce F Kimler, Carola M Zalles, Teresa A Phillips, Trina Metheny, Brian K Petroff, Thomas C Havighurst, KyungMann Kim, Howard H Bailey, Brandy M Heckman-Stoddard

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in Cancer prevention research (Philadelphia, Pa.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Formation of 2ACS omega · 2025
    Article
  4. Review
  5. Computer-Aided Ligand Discovery for Estrogen Receptor Alpha.International journal of molecular sciences · 2020
    Review
  6. 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

10 authors at 1 institution in 1 country.

Carol J FabianDepartment of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas.
Bruce F KimlerDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, Kansas. bkimler@kumc.edu.
Carola M ZallesMercy Hospital, Miami, Florida.
Teresa A PhillipsDepartment of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas.
Trina MethenyDepartment of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas.
Brian K PetroffDepartment of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas.
Thomas C HavighurstDepartment of Biostatistics and Medical Informatics, University of Wisconsin Madison, Madison, Wisconsin.
KyungMann KimDepartment of Biostatistics and Medical Informatics, University of Wisconsin Madison, Madison, Wisconsin.
Howard H BaileyUniversity of Wisconsin Carbone Cancer Center, Madison, Wisconsin.
Brandy M Heckman-StoddardDivision of Cancer Prevention, National Cancer Institute, Bethesda, Maryland.
National Cancer Institute · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Christian Capitini · 1985 to 2026
$142.6M
PHASE 1 AND PHASE 2 CLINICAL TRIALS OF CANCER CHEMOPREVENTIVE AGENTS -261035153N01CN035153 · CN · UNIVERSITY OF WISCONSIN - MAD · PI BAILEY, HOWARD H. · 2004 to 2006
–
NCI NIH HHS N01 CN035153NCI NIH HHS N01-CN-35153NCI NIH HHS P30 CA014520
6 · The paper itself

Abstract

The purpose of this study was to assess the feasibility of using the selective estrogen receptor modulator (SERM) acolbifene as a breast cancer prevention agent in premenopausal women. To do so, we assessed change in proliferation in benign breast tissue sampled by random periareolar fine-needle aspiration (RPFNA) as a primary endpoint, along with changes in other risk biomarkers and objective and subjective side effects as secondary endpoints. Twenty-five women with cytologic hyperplasia ± atypia and ≥2% of breast epithelial cells staining positive for Ki-67, received 20 mg acolbifene daily for 6-8 months, and then had benign breast tissue and blood risk biomarkers reassessed. Ki-67 decreased from a median of 4.6% [interquartile range (IQR), 3.1%-8.5%] at baseline to 1.4% (IQR, 0.6%-3.5%) after acolbifene (P < 0.001; Wilcoxon signed-rank test), despite increases in bioavailable estradiol. There were also significant decreases in expression (RT-qPCR) of estrogen-inducible genes that code for pS2, ERα, and progesterone receptor (P ≤ 0.026). There was no significant change in serum IGF1, IGFBP3, IGF1:IGFBP3 ratio, or mammographic breast density. Subjective side effects were minimal with no significant increase in hot flashes, muscle cramps, arthralgias, or fatigue. Objective measures showed a clinically insignificant decrease in lumbar spine bone density (DEXA) and an increase in ovarian cysts but no change in endometrial thickness (sonography). In summary, acolbifene was associated with favorable changes in benign breast epithelial cell proliferation and estrogen-inducible gene expression but minimal side effects, suggesting a phase IIB placebo-controlled trial evaluating it further for breast cancer prevention.

Indexed as

PremenopauseAdultBiopsy, Fine-NeedleBone DensityBreastBreast NeoplasmsCell ProliferationEpithelial CellsFemaleHumansKi-67 AntigenMiddle AgedOvarian CystsPilot ProjectsPiperidinesReal-Time Polymerase Chain ReactionKi-67 AntigenPiperidinesritetroniumSelective Estrogen Receptor Modulators

Identifiers

PMID26391916
PMCPMC4670810
OpenAlexW2263386431

What OpenQuestion holds

Textmetadata
LicenceTDM
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.