Evidence map›Paper›PMID 42003934›Full record

ReviewOncology letters2026

Cutting-edge advances in endocrine therapy for breast cancer (Review).

Yumei Dong, Lihua Shao, Qiong Li, Yuexiao Qi, Tingting Liu, Shihong Wei, Haiyan Qi

Abstract readReview
In one paragraph

Review in Oncology letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Yumei DongRadiation Therapy Clinical Research Center, Sun Yat-sen University Cancer Center Gansu Hospital/Gansu Provincial Cancer Hospital, Lanzhou, Gansu 730050, P.R. China.
Lihua ShaoRadiation Therapy Clinical Research Center, Sun Yat-sen University Cancer Center Gansu Hospital/Gansu Provincial Cancer Hospital, Lanzhou, Gansu 730050, P.R. China.
Qiong LiRadiation Therapy Clinical Research Center, Sun Yat-sen University Cancer Center Gansu Hospital/Gansu Provincial Cancer Hospital, Lanzhou, Gansu 730050, P.R. China.
Yuexiao QiRadiation Therapy Clinical Research Center, Sun Yat-sen University Cancer Center Gansu Hospital/Gansu Provincial Cancer Hospital, Lanzhou, Gansu 730050, P.R. China.
Tingting LiuRadiation Therapy Clinical Research Center, Sun Yat-sen University Cancer Center Gansu Hospital/Gansu Provincial Cancer Hospital, Lanzhou, Gansu 730050, P.R. China.
Shihong WeiRadiation Therapy Clinical Research Center, Sun Yat-sen University Cancer Center Gansu Hospital/Gansu Provincial Cancer Hospital, Lanzhou, Gansu 730050, P.R. China.
Haiyan QiRadiation Therapy Clinical Research Center, Sun Yat-sen University Cancer Center Gansu Hospital/Gansu Provincial Cancer Hospital, Lanzhou, Gansu 730050, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endocrine therapy remains one of the primary treatment modalities for estrogen receptor (ER) positive breast cancer, serving a pivotal role in improving patient outcomes and extending survival. Nevertheless, the gradual emergence of endocrine resistance continues to limit its clinical efficacy. In recent years, advances in molecular biology and genomics have driven the development of innovative technologies and therapeutic strategies in this field. The present review highlights the latest progress in endocrine therapy for breast cancer, including the introduction of next-generation selective ER degraders (SERDs), ER antagonists/degraders and selective ER modulators (SERMs). In addition, combination strategies integrating endocrine therapy with small-molecule inhibitors of critical signaling pathways, such as PI3K/AKT/mTOR and CDK4/6, have demonstrated promising potential in overcoming resistance. Cutting-edge technologies, such as single-cell sequencing and organoid models, are providing novel insights into treatment monitoring and the implementation of personalized therapy. Looking ahead, precision medicine platforms powered by artificial intelligence and big data are expected to further refine therapeutic strategies and ultimately improve patient prognosis. Collectively, endocrine therapy for breast cancer is evolving toward a more diversified, precise and individualized approach, offering patients broader treatment options and enhanced survival benefits.

Indexed as

artificial intelligenceCDK4/6 inhibitorsendocrine therapyestrogen receptor-positive breast cancerhigh-throughput screening technologyimmune checkpoint inhibitorsorganoid technologyPI3K/AKT/mTOR pathway inhibitorssingle-cell sequencing

Identifiers

PMID42003934
PMCPMC13087848

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.