Evidence map›Paper›PMID 33613796›Full record

ArticleJournal of clinical medicine research2021

Percentage of Hormone Receptor Positivity in Breast Cancer Provides Prognostic Value: A Single-Institute Study.

Richard Sleightholm, Beth K Neilsen, Safwan Elkhatib, Laura Flores, Saihari Dukkipati, Runze Zhao, Songita Choudhury, Bret Gardner, Joey Carmichael, Lynette Smith and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of clinical medicine research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Defining the DNA Binding Specificity of GRHL2.bioRxiv : the preprint server for biology · 2026
    Article
  5. The effect of acupuncture on hot flashes and sleep disturbances in women with breast cancer receiving endocrine therapy: a pre-post quasi-interventional study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  19. Selective Estrogen Receptor Modulators' (SERMs) Influence onInternational journal of molecular sciences · 2024
    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

13 authors at 1 institution in 1 country.

Richard SleightholmDepartment of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Beth K NeilsenDepartment of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Safwan ElkhatibDepartment of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Laura FloresDepartment of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Saihari DukkipatiDepartment of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Runze ZhaoDepartment of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Songita ChoudhuryDepartment of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Bret GardnerDepartment of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Joey CarmichaelDepartment of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Lynette SmithDepartment of Statistics, University of Nebraska Medical Center, Omaha, NE, USA.
Nathan BennionDepartment of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Andrew WahlDepartment of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Michael BaineDepartment of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
University of Nebraska Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA majority of breast cancer tumors express estrogen receptor (ER) and/or progesterone receptor (PR); however, the percentage of cancer cells expressing these receptors can range from 0-100%. The prognostic and therapeutic impact of the percentage of cells expressing hormone receptors in breast cancer is not fully understood.

methodsA retrospective analysis of 411 breast cancer patients who were treated at the University of Nebraska Medical Center between 2010 and 2017 was performed. Patient tumors were evaluated for percentage of cells expressing ER and PR in conjunction with clinical outcomes.

resultsPatient tumors demonstrated a highly bimodal pattern of ER and PR staining with a majority of tumors demonstrating either a high percentage (> 80% of cells) or lack of cells (0%) staining for ER or PR. An increase in the percentage of ER positivity correlated with decreased local recurrence and improved overall survival. An increase in the percentage of PR positivity demonstrated a trend towards decreased local recurrence and improved overall survival, but was not statistically significant.

conclusionsResults based on both continuous and categorical evaluation of ER expression revealed that increasing expression correlated with improved patient outcomes. Similar evaluation of PR expression demonstrated a trend towards improved patient outcomes though not statistically significant. These findings suggest that the degree of hormone receptor positivity and not a Boolean representation of positivity could provide additional prognostic value in the treatment and management of breast cancer.

Indexed as

Breast cancerDistant recurrenceEstrogen progesterone receptor percent positivityLocoregional recurrenceRadiation therapySurvival

Identifiers

PMID33613796
PMCPMC7869562
OpenAlexW3119969843

What OpenQuestion holds

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Registered trials

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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.