Evidence map›Paper›PMID 27893411›Full record

ArticleOncotarget2016

Plasma osteoprotegerin and breast cancer risk in BRCA1 and BRCA2 mutation carriers.

Lovisa Odén, Mohammad Akbari, Tasnim Zaman, Christian F Singer, Ping Sun, Steven A Narod, Leonardo Salmena, Joanne Kotsopoulos

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Premenopausal Plasma Osteoprotegerin and Breast Cancer Risk: A Case-Control Analysis Nested within the Nurses' Health Study II.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  11. Progesterone and Breast Cancer.Endocrine reviews · 2020
    Review
  12. Observational
  13. Review
  14. Review
  15. Article
  16. Cancers · 2018
    Review
  17. Observational
  18. Article
  19. Article
  20. 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

8 authors at 4 institutions in 3 countries.

Lovisa OdénWomen's College Research Institute, Women's College Hospital, Toronto, ON, Canada, M5S 1B2.
Mohammad AkbariWomen's College Research Institute, Women's College Hospital, Toronto, ON, Canada, M5S 1B2.
Tasnim ZamanWomen's College Research Institute, Women's College Hospital, Toronto, ON, Canada, M5S 1B2.
Christian F SingerDepartment of Obstetrics and Gynecology and Comprehensive Cancer Center, Medical University of Vienna, Spitalgasse 23, 1090 Wien, Vienna, Austria.
Ping SunWomen's College Research Institute, Women's College Hospital, Toronto, ON, Canada, M5S 1B2.
Steven A NarodWomen's College Research Institute, Women's College Hospital, Toronto, ON, Canada, M5S 1B2.
Leonardo SalmenaDepartment of Pharmacology and Toxicology, University of Toronto, 1 King's College Circle Toronto, ON, Canada, M5S 1A8.
Joanne KotsopoulosWomen's College Research Institute, Women's College Hospital, Toronto, ON, Canada, M5S 1B2.
Canada Research Chairs · CAWomen's College Hospital · CAComprehensive Cancer Center Vienna · ATPublic Health Ontario · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging evidence suggests a role of receptor activator of nuclear factor κB (RANK)/RANK ligand (RANKL) signaling in breast cancer development. Lower osteoprotegerin (OPG) levels, the endogenous decoy receptor for RANKL which competes with RANK for binding of RANKL, has been reported among BRCA mutation carriers. Whether low OPG levels contribute to the high breast cancer risk in this population is unknown. OPG concentrations were measured in plasma of 206 cancer-free BRCA mutation carriers using an enzyme-linked immunosorbent assay. Subjects were categorized as high vs. low based on the median of the entire cohort (95 ng/mL) and followed for a new diagnosis of breast cancer. Cumulative incidence by baseline plasma OPG concentration was estimated using Kaplan-Meier survival analysis. Cox proportional hazards models were used to estimate the adjusted hazard ratios for the association between plasma OPG and breast cancer risk. Over a mean follow-up period of 6.5 years (range 0.1-18.8 years), 18 incident breast cancer cases were observed. After ten years of follow-up, the cumulative incidence of breast cancer among women with low OPG was 21%, compared to 9% among women with high OPG (P-log rank = 0.046). After multivariate adjustment, women with high plasma OPG had a significantly decreased risk of developing breast cancer, compared to women with low OPG (HR = 0.25; 95%CI 0.08-0.78; P = 0.02). These data suggest that low OPG levels are associated with an increased risk of BRCA-associated breast cancer. Targeting RANK signalling may represent a plausible, non-surgical prevention option for BRCA mutation carriers.

Indexed as

MutationAdolescentAdultAgedAged, 80 and overBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsFemaleHeterozygoteHumansKaplan-Meier EstimateMiddle AgedOsteoprotegerinProportional Hazards ModelsRisk AssessmentBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanOsteoprotegerinBRCA1/2breast cancerchemopreventionosteoprotegerin (OPG)receptor activator of nuclear factor κB (RANKL)

Identifiers

PMID27893411
PMCPMC5349945
OpenAlexW2555874650

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.