Evidence map›Paper›PMID 39351085›Full record

ReviewFrontiers in pharmacology2024

HER2-targeted therapies for HER2-positive early-stage breast cancer: present and future.

Luying Xu, Yuxin Xie, Qiheng Gou, Rui Cai, Rong Bao, Yucheng Huang, Ruisi Tang

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  3. Upregulation of a CircularInternational journal of molecular sciences · 2026
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  8. Article
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  13. Monitoring Pharmacological Treatment of Breast Cancer with MRI.Current issues in molecular biology · 2025
    Review
  14. Review
  15. Article
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  17. Article
  18. Article
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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

7 authors.

Luying Xu *Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Yuxin Xie *Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Qiheng GouDepartment of Radiation Oncology and Department of Head & Neck Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Rui CaiDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Rong BaoDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Yucheng HuangDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Ruisi TangDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) has the second highest incidence among cancers and is the leading cause of death among women worldwide. The human epidermal growth factor receptor 2 (HER2) is overexpressed in approximately 20%-30% of BC patients. The development of HER2-targeted drugs, including monoclonal antibodies (mAbs), tyrosine kinase inhibitors (TKIs) and antibody-drug conjugates (ADCs), has improved the operation rate and pathological remission rate and reduced the risk of postoperative recurrence for HER2-positive early-stage BC (HER2+ EBC) patients. This review systematically summarizes the mechanisms, resistance, therapeutic modalities and safety of HER2-targeted drugs and helps us further understand these drugs and their use in clinical practice for patients with HER2+ EBC.

Indexed as

adjuvant therapyearly-stage breast cancerHER2-positive breast cancerneoadjuvant therapytargeted therapy

Identifiers

PMID39351085
PMCPMC11439691

What OpenQuestion holds

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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.