Evidence map›Paper›PMID 40502307›Full record

ArticleTherapeutic advances in medical oncology2025

Impact of low hormone receptor expression on neoadjuvant chemotherapy response and patterns of care in non-metastatic HER2-negative breast cancer: a US National Cancer Database analysis.

Dionisia Quiroga, Charles Pei, Julie A Stephens, Kai C C Johnson, Nicole Williams, Preeti Sudheendra, Mathew Cherian, Daniel Stover, Ashley Davenport, Margaret Gatti-Mays and 8 more

Abstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

18 authors.

Dionisia QuirogaJames Comprehensive Cancer Center, The Ohio State University, 1145 Olentangy River Road, 4th Floor, Suite 4000, Columbus, OH 43212, USA.ORCID https://orcid.org/0000-0003-3388-7069
Charles PeiJames Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Julie A StephensCenter for Biostatistics, The Ohio State University, Columbus, OH, USA.
Kai C C JohnsonJames Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Nicole WilliamsJames Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Preeti SudheendraJames Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Mathew CherianJames Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Daniel StoverJames Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Ashley DavenportJames Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Margaret Gatti-MaysJames Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Robert WesolowskiJames Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.ORCID https://orcid.org/0000-0003-0606-0648
Jose G BazanJames Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Sasha BeyerJames Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Ko Un ParkJames Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Bridget A OppongJames Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Julia WhiteJames Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Sachin R JhawarJames Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Sagar SardesaiJames Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hormone receptor (HR)-low human epidermal growth factor receptor 2 (HER2)-negative breast cancers (BC) have similar outcomes to triple-negative BC; however, there is a lack of consensus on treatment recommendations for this subset. We present results from a US National Cancer Database (NCDB) analysis of patients with stage I-III HER2-negative BC categorized into groups by estrogen and progesterone receptor (PR) expression: HR-Neg, HR-Low, HR-Intermediate (HR-Int), and HR-High. Objectives: The primary objective was to assess the effect of HR expression on neoadjuvant chemotherapy (NAC) pathologic complete response (pCR) rates. Secondary objectives included assessment of clinico-pathologic characteristics and practice patterns. Design and methods: Patients with stage I-III HER2-negative BC diagnosed in 2018 were identified in the NCDB, a nationwide oncology outcomes database in the United States. Quantitative HR expression was unavailable prior to 2018. Data were categorized into four groups by estrogen receptor (ER) and PR expression: ER <1% and PR <1% (HR-Neg); ER 1%-10% and/or PR 1%-10% (HR-Low); ER >11%-30% and/or PR >11%-30% (HR-Int); and ER >30% and/or PR >30% (HR-High). Those with undocumented HR status (3%) or without curative intent surgery (5%) were excluded. Results: Significant differences were found between HR groups with higher grade, clinical stage, and Ki-67 in HR-Low versus HR-Int or HR-High groups. pCR rates in those receiving NAC were significantly different by HR status, with higher pCR rates in HR-Low versus HR-High groups ( Conclusion: This large real-world analysis shows variability in NAC utilization and endocrine therapy for HR-Low and HR-Int BC, with further work needed to enhance representation of these in trials.

Indexed as

breast cancerchemotherapyendocrine therapyestrogen-directed therapyhormone receptor-positive breast cancerhormone therapy

Identifiers

PMID40502307
PMCPMC12152379

What OpenQuestion holds

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LicenceCC BY-NC
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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.