Evidence map›Paper›PMID 25849336›Full record

ArticleBreast cancer research : BCR2015

RANK-ligand (RANKL) expression in young breast cancer patients and during pregnancy.

Hatem A Azim, Fedro A Peccatori, Sylvain Brohée, Daniel Branstetter, Sherene Loi, Giuseppe Viale, Martine Piccart, William C Dougall, Giancarlo Pruneri, Christos Sotiriou

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

108 citing papers in PubMed, 1 synthesis or guideline pooled it, 185 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. RANK/RANKL Signaling Pathway in Breast Development and Cancer.Advances in experimental medicine and biology · 2025
    Review
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Deep Learning-Based H-Score Quantification of Immunohistochemistry-Stained Images.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2024
    Article
  16. Article
  17. Article
  18. Review
  19. Oncology reports · 2023
    Article
  20. Article

48 more citing papers are in PubMed but not listed here.

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 6 institutions in 4 countries.

Hatem A Azim
Fedro A Peccatori
Sylvain Brohée
Daniel Branstetter
Sherene Loi
Giuseppe Viale
Martine Piccart
William C Dougall
Giancarlo Pruneri
Christos Sotiriou
Institut Jules Bordet · BEAmgen (United States) · USEuropean Institute of Oncology · ITPeter MacCallum Cancer Centre · AUUniversité Libre de Bruxelles · BEUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRANKL is important in mammary gland development during pregnancy and mediates the initiation and progression of progesterone-induced breast cancer. No clinical data are available on the effect of pregnancy on RANK/RANKL expression in young breast cancer patients.

methodsWe used our previously published dataset of 65 pregnant and 130 matched young breast cancer patients with full clinical, pathological, and survival information. 85% of patients had available transcriptomic data as well. RANK/RANKL expression by immunohistochemistry using H-score on the primary tumor and adjacent normal tissue was performed. We examined the difference in expression of RANK/RANKL between pregnant and non-pregnant patients and their association with clinicopathological features and prognosis. We also evaluated genes and pathways associated with RANK/RANKL expression on primary tumors.

resultsRANKL but not RANK expression was more prevalent in the pregnant group, both on the tumor and adjacent normal tissue, independent of other clinicopathological factors (both P <0.001). 18.7% of pregnant and 5.3% of non-pregnant patients had tumors showing ≥10% of cells with 3+ RANKL expression. RANKL expression was significantly higher in progesterone receptor-positive, and luminal A-like tumors, with negative correlation with Ki-67 (all P <0.001). On the contrary, RANK expression was higher in triple negative tumors (P <0.001). Using false discovery rate <0.05, 151 and 1,207 genes were significantly correlated with tumor-expressed RANKL and RANK expression by immunohistochemistry, respectively. High RANKL expression within primary tumor was associated with pathways related to mammary gland development, bone resorption, T-cell proliferation and regulation of chemotaxis, while RANK expression was associated with immune response and proliferation pathways. At a median follow-up of 65 months, neither RANK nor RANKL expression within tumor was associated with disease free survival in pregnant or non-pregnant group.

conclusionsPregnancy increases RANKL expression both in normal breast and primary tumors. These results could guide further development of RANKL-targeted therapy.

Indexed as

Gene Expression Regulation, NeoplasticAdultAge FactorsBiomarkers, TumorBreast NeoplasmsDisease-Free SurvivalFemaleGene Expression ProfilingHumansImmunohistochemistryMiddle AgedNeoplasm GradingNeoplasm MetastasisPregnancyPrognosisRANK LigandBiomarkers, TumorRANK LigandReceptor Activator of Nuclear Factor-kappa B

Identifiers

PMID25849336
PMCPMC4374174
OpenAlexW2132865088

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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.