Evidence map›Paper›PMID 26328009›Full record

ArticleAmerican journal of translational research2015

Prognostic significance of full-length estrogen receptor beta expression in stage I-III triple negative breast cancer.

Erin K Shanle, Adedayo A Onitilo, Wei Huang, KyungMann Kim, Chong Zang, Jessica M Engel, Wei Xu, Kari B Wisinski

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Drivers and suppressors of triple-negative breast cancer.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. 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 5 institutions in 1 country.

Erin K ShanleMcArdle Laboratory for Cancer Research, Molecular and Environmental Toxicology Center, University of Wisconsin Madison, WI, USA.
Adedayo A OnitiloDepartment of Hematology/Oncology, Marshfield Clinic Weston Center Weston, WI, USA.
Wei HuangDepartment of Pathology and Laboratory Medicine, University of Wisconsin Madison, WI, USA.
KyungMann KimDepartment of Biostatistics and Medical Informatics, University of Wisconsin Carbone Cancer Center Madison, WI, USA.
Chong ZangDepartment of Biostatistics and Medical Informatics, University of Wisconsin Carbone Cancer Center Madison, WI, USA.
Jessica M EngelDepartment of Hematology/Oncology, Marshfield Clinic Cancer Care at St Michaels Stevens Point, WI, USA.
Wei XuDepartment of Oncology, McArdle Laboratory for Cancer Research Madison, WI, USA.
Kari B WisinskiDepartment of Hematology/Oncology, University of Wisconsin School of Medicine and Public Health, University of Wisconsin Carbone Cancer Center Madison, WI, USA.
University of Wisconsin Carbone Cancer Center · USUniversity of Wisconsin–Madison · USCenter for Cancer Research · USMarshfield Clinic · USMarshfield Clinic Weston Center · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI AMY TRENTHAM-DIETZ · 1985 to 2026
$142.6M
INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
Molecular & Environmental Toxicology Pre-& Postdoctoral Training ProgramT32ES007015 · NIEHS · UNIVERSITY OF WISCONSIN-MADISON · PI CHRISTOPHER A BRADFIELD · 1985 to 2026
$11.5M
NCI NIH HHS P30 CA014520NCRR NIH HHS UL1 RR025011NIEHS NIH HHS T32 ES007015
6 · The paper itself

Abstract

Triple negative breast cancer (TNBC) is an aggressive breast cancer subtype for which there is a need to identify new therapeutic targets. Full-length estrogen receptor beta (ERβ1) may be a possible target given its antiproliferative effects on breast cancer cells. The prognostic significance of ERβ in breast cancer subtypes has remained elusive, and disparate results observed across previously published reports might be due to the detection of multiple ERβ isoforms, the lack of specific antibodies and the use of different cutoffs to define ERβpositivity. The objective of this retrospective study was to determine the association between ERβ1 expression and disease-free and overall survival, as well as Ki67 expression, in non-metastatic TNBC. Immunohistochemical protocols were optimized using xenograft tissues obtained from a breast cancer cell line with inducible ERβ1 expression. ERβ1 localization and expression were assessed in two cohorts of TNBC using the VECTRA(TM) platform. There was a close relationship between nuclear and cytoplasmic ERβ1 expression. ERβ1 was expressed in a subset of TNBCs, but its expression was significantly associated with Ki67 in only one of the cohorts. There was no significant association between ERβ1 expression and disease-free and overall survival in either cohort. Although these results suggest that ERβ1 expression alone may not be informative in TNBCs, this study provides a new strategy for optimizing and objectively measuring ERβ1 expression in tissues, which may provide a standard for ERβ1 immunohistochemistry in future large-scale clinical studies aimed at better understanding the role of ERβ1 in breast cancer.

Indexed as

breast cancer prognosisEstrogen receptor betaimmunohistochemistryKi67VECTRA

Identifiers

PMID26328009
PMCPMC4548317
OpenAlexW1673190384

What OpenQuestion holds

Textmetadata
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.