Evidence map›Paper›PMID 38443227›Full record

SynthesisClinical breast cancer2024

BCAR4 Expression as a Predictive Biomarker for Endocrine Therapy Resistance in Breast Cancer.

Muheng Liao, Jace Webster, Emily M Coonrod, Katherine N Weilbaecher, Christopher A Maher, Nicole M White

Abstract readMeta-Analysis
In one paragraph

Synthesis in Clinical breast cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

6 authors.

Muheng LiaoDivision of Biostatistics, Washington University School of Medicine, St Louis, MO.
Jace WebsterDivision of Oncology, Department of Medicine, Washington University School of Medicine, St Louis, MO.
Emily M CoonrodDivision of Oncology, Department of Medicine, Washington University School of Medicine, St Louis, MO.
Katherine N WeilbaecherDivision of Oncology, Department of Medicine, Washington University School of Medicine, St Louis, MO; Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St Louis, MO.
Christopher A MaherDivision of Oncology, Department of Medicine, Washington University School of Medicine, St Louis, MO; Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St Louis, MO; Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, MO.
Nicole M WhiteDivision of Oncology, Department of Medicine, Washington University School of Medicine, St Louis, MO; Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St Louis, MO. Electronic address: nmmaher@wustl.edu.

Funding

OVERCOMING THE PROTECTIVE BARRIERS OF BREAST CANCER IN BONE MARROW WITH TARGETED PRODRUG NANOTHERAPYR01CA216840 · NCI · WASHINGTON UNIVERSITY · PI LANZA, GREGORY M, WEILBAECHER, KATHERINE NELSON · 2018 to 2022
$3.1M
NCI NIH HHS R01 CA216840
6 · The paper itself

Abstract

backgroundBreast cancer, particularly the estrogen receptor positive (ER+) subtype, remains a leading cause of cancer-related death among women. Endocrine therapy is the most effective treatment for ER+ breast cancer; however, the development of resistance presents a significant challenge. This study explored the role of the breast cancer antiestrogen resistance 4 (BCAR4) gene as a potential driver of resistance and a pivotal biomarker in breast cancer. PATIENTS AND

methodsThe researchers undertook a comprehensive analysis of 1743 patients spanning 6 independent cohorts. They examined the association of BCAR4 expression with patient outcomes across all breast cancer types and the PAM50 molecular subtypes. The relationship between elevated BCAR4 expression and resistance to endocrine therapy including AIs, the prevailing standard-of-care for endocrine therapy, was also investigated.

resultsThis meta-analysis corroborated the link between BCAR4 expression and adverse outcomes as well as resistance to endocrine therapy in breast cancer. Notably, BCAR4 expression is clinically significant in luminal A and B subtypes. Additionally, an association between BCAR4 expression and resistance to AI treatment was discerned.

conclusionThis study expands on previous findings by demonstrating that BCAR4 expression is associated with resistance to newer therapies. The identification of patients with intrinsic resistance to hormone therapy is crucial to avoid ineffective treatment strategies. These findings contribute to our understanding of endocrine therapy resistance in breast cancer and could potentially guide the development of more effective treatment strategies.

Indexed as

Antineoplastic Agents, HormonalBiomarkers, TumorBreast NeoplasmsDrug Resistance, NeoplasmFemaleGene Expression Regulation, NeoplasticHumansPrognosisReceptors, EstrogenRNA, Long NoncodingAntineoplastic Agents, HormonalBCAR4 non-coding RNA, humanBiomarkers, TumorReceptors, EstrogenRNA, Long NoncodingDrug resistanceGenomics

Identifiers

PMID38443227
PMCPMC12337818

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.