Evidence map›Paper›PMID 41474498›Full record

ReviewDiscover oncology2025

Targeting estrogen receptor alpha in breast cancer for novel therapies resistance mechanisms and future directions.

Bing-Xuan Wu, Hua-Tao Wu, Yang-Zheng Lan, Wen-Jia Chen, Xin-Ning Yu, Jia-Wei Liu, Jing Liu

Abstract readReview
In one paragraph

Review in Discover oncology, 2025. 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. Article
  2. Nanovesicle-formulatedJournal of advanced pharmaceutical technology & research
    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

7 authors.

Bing-Xuan Wu *The Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, 515041, China.
Hua-Tao Wu *Department of General Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China.
Yang-Zheng LanThe Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, 515041, China.
Wen-Jia ChenThe Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, 515041, China.
Xin-Ning YuDepartment of General Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China.
Jia-Wei LiuThe Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, 515041, China.
Jing LiuThe Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, 515041, China. jliu12@stu.edu.cn.

Funding

National Natural Science Foundation of China 82273457
6 · The paper itself

Abstract

Estrogen receptor α (ERα) is a key therapeutic target in ER-positive breast cancer. Structurally, ERα contains activation function (AF) domains that drives breast cancer proliferation, metastasis, and drug resistance through classical genomic, non-genomic, and ligand-independent signaling pathways. Clinically approved and investigational drugs targeting Erα include selective estrogen receptor modulators (SERMs), selective estrogen receptor downregulators/degraders (SERDs), and novel strategies such as proteolysis-targeting chimeras (PROTACs). Current research focuses on overcoming endocrine resistance via combination therapies targeting mutations in ESR1, the gene encoding ERα, non-genomic signaling pathways, and the tumor microenvironment, which may advance precision medicine in breast cancer. This article summarizes recent advances in ERα-targeting inhibitors and their therapeutic implications, to provide potential precision therapeutic strategies for breast cancer patients with ER positive.

Indexed as

Breast cancerEndocrine therapyEstrogen receptor αResistance

Identifiers

PMID41474498
PMCPMC12864607

What OpenQuestion 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 OpenQuestion graph.