Evidence map›Paper›PMID 40664624›Full record

ArticleCell proliferation2026

Endocrine Resistance Score Based on Three Key Genes Predicts Prognosis and Reveals Potential Therapeutic Targets for ER+HER2- Breast Cancer.

Liqin Ping, Lewei Zhu, Nian Chen, Xikun Liu, Jirui Zhong, Xiaoqing Sun, Hailin Tang, Kaiming Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell proliferation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
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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

8 authors.

Liqin PingDepartment of Hematology, The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Lewei ZhuThe First People's Hospital of Foshan (The Affiliated Foshan Hospital of Southern University of Science and Technology), School of Medicine, Southern University of Science and Technology, Foshan, China.
Nian ChenThe First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Xikun LiuDepartment of Hematology, The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Jirui ZhongDepartment of Hematology, The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Xiaoqing SunSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, Guangdong, China.
Hailin TangSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-3206-782X
Kaiming ZhangSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-8195-1136

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endocrine resistance is a leading cause of mortality in oestrogen receptor-positive and human epidermal growth factor receptor 2-negative (ER+HER2-) breast cancer (BC), highlighting the urgent need to understand its underlying molecular mechanisms and identify potentially resistant patients for effective management. In this study, we constructed endocrine-resistant cell lines through long-term oestrogen deprivation and identified differentially expressed genes (DEGs) via transcriptome analysis. Key endocrine-resistant genes were defined through Cox regression analysis. Our findings revealed that the genes CLEC3A, PCDH10, and ST3GAL1 were significantly upregulated in endocrine-resistant cells and serve as independent prognostic factors for ER+HER2- BC patients. We developed an endocrine resistance score (ERS), and a nomogram model incorporating ERS demonstrated robust predictive capabilities for patient prognosis. Single-cell RNA sequencing analysis demonstrated that the ERS and the three core genes constituting the ERS were significantly upregulated in tissue specimens from patients with resistance to endocrine neoadjuvant therapy. Additionally, knocking down CLEC3A, PCDH10, and ST3GAL1 led to reduced malignancy progression in endocrine-resistant BC cells. Mechanistic studies revealed that CLEC3A promotes endocrine resistance by upregulating the PI3K-AKT pathway. This study suggests that CLEC3A, PCDH10, and ST3GAL1 are associated with endocrine resistance and can reflect the prognosis of ER+HER2- BC patients receiving endocrine therapy, providing potential therapeutic targets and a valuable prognostic indicator for clinicians.

Indexed as

Breast NeoplasmsDrug Resistance, NeoplasmErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenAntineoplastic Agents, HormonalCadherinsCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansPhosphatidylinositol 3-KinasesPrognosisSialyltransferasesAntineoplastic Agents, HormonalCadherinsERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesPhosphatidylinositol 3-KinasesReceptors, EstrogenSialyltransferasesbreast cancerendocrine resistancegene signatureoestrogen receptorprognostic factors

Identifiers

PMID40664624
PMCPMC12961559

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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.