Evidence map›Paper›PMID 41899590›Full record

ArticleCancers2026

Comprehensive Analysis and Prediction of HER2-Targeted Therapy Insensitivity Among HER2-Positive Breast Cancer Patients Undergoing Neoadjuvant Treatment.

Qingyao Shang, Zian Lin, Jennifer Plichta, Samantha Thomas, Meishuo Ouyang, Sheng Luo, Xin Wang

Abstract read
In one paragraph

Article in Cancers, 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.

Qingyao ShangDepartment of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Zian LinDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0009-0006-1843-8838
Jennifer PlichtaDuke Cancer Institute, Duke University School of Medicine, Durham, NC 27710, USA.
Samantha ThomasDepartment of Biostatistics & Bioinformatics, Duke University School of Medicine, 2424 Erwin Road, Suite 1102, 11082 Hock Plaza, Durham, NC 27705, USA.
Meishuo OuyangDepartment of Surgery, Duke University School of Medicine, Durham, NC 27705, USA.
Sheng LuoDepartment of Biostatistics & Bioinformatics, Duke University School of Medicine, 2424 Erwin Road, Suite 1102, 11082 Hock Plaza, Durham, NC 27705, USA.ORCID 0000-0003-4214-5809
Xin WangDepartment of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.ORCID 0000-0003-1753-2786

Funding

CAMS Innovation Fund for Medical Sciences (CIFMS) 2023-I2M-C&T-A-009Capital's Funds for Health Improvement and Research 2024-2-4025National Natural Science Foundation of China 82072097National Natural Science Foundation of China 82373060
6 · The paper itself

Abstract

purposeHER2-targeted therapy has been incorporated into the standard neoadjuvant treatment (NAT) regimen for HER2-positive early-stage breast cancer, yet a subset of patients have shown a limited pathological response. This study aimed to evaluate clinicopathological factors associated with NAT sensitivity and to develop a predictive model.

methodsThis retrospective study included 13,004 HER2-positive breast cancer patients from the National Cancer Database (2010-2022) who received neoadjuvant chemotherapy plus HER2-targeted therapy. Pathological complete response (pCR) was defined as no residual invasive carcinoma in the breast and axillary lymph nodes (ypT0/is, ypN0). NAT sensitivity was additionally defined using clinical-to-pathologic stage migration according to the AJCC 8th edition criteria. Baseline characteristics and overall survival (OS) were compared between NAT-sensitive and NAT-insensitive groups. A multivariable logistic regression model was developed based on age, clinical T stage, clinical N stage, histologic subtype, tumor grade, and hormone receptor (HR) status. Model performance was assessed using the area under the receiver operating characteristic curve and calibration curves.

resultsAmong the patients included, 3660 (28.1%) achieved pCR. Based on the predefined stage-based criteria, 10,451 (80.4%) were classified as NAT-sensitive and 2553 (19.6%) as NAT-insensitive. NAT-insensitive patients were older and more likely to present with clinical T1c and node-negative disease, whereas NAT-sensitive patients more frequently had higher clinical T and N stages. HR-positive and lower tumor grades were significantly associated with treatment insensitivity. NAT-insensitive patients demonstrated significantly worse OS compared with NAT-sensitive patients (

conclusionsNAT sensitivity in HER2-positive early-stage breast cancer exhibited substantial biological and clinical heterogeneity in real-world practice. A younger age, higher clinical stage, invasive ductal histology, higher tumor grade, and HR-negative status were associated with improved responses. A predictive model based on routinely available baseline variables demonstrated reasonable performance for estimating treatment sensitivity, supporting its potential utility for baseline risk stratification pending external validation.

Indexed as

HER2+ breast cancerneoadjuvant treatmentprediction modeltargeted therapy

Identifiers

PMID41899590
PMCPMC13024713

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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.