Evidence map›Paper›PMID 41668052›Full record

ArticleMolecular cancer2026

Spatial single-cell multi-omics characterization of the tumor microenvironment heterogeneity by HER-2 expression status in gastric cancer.

Haoxin Peng, Yang Chen, Qian Yao, Yueting Liang, Xiaoyi Chong, Yiming Luo, Dan Liu, Yakun Wang, Yanyan Li, Xujiao Feng and 5 more

Abstract read
In one paragraph

Article in Molecular cancer, 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. 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

15 authors.

Haoxin Peng *Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Yang Chen *Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Qian YaoDepartment of Pathology, Peking University Cancer Hospital and Institute, Beijing, China.
Yueting LiangDepartment of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China.
Xiaoyi ChongDepartment of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Yiming LuoDepartment of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Dan LiuDepartment of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Yakun WangDepartment of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Yanyan LiDepartment of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Xujiao FengDepartment of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Yu SunDepartment of Pathology, Peking University Cancer Hospital and Institute, Beijing, China.
Jifang GongDepartment of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Zhi PengDepartment of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China. zhipeng3@hotmail.com.
Xiaotian ZhangDepartment of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China. zhangxiaotianmed@163.com.
Lin ShenDepartment of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China. shenlin@bjmu.edu.cn.

Funding

Beijing Science and Technology Plan Z231100007423009Capital's Funds for Health Improvement and Research 2024-1-1021Innovation Fund for Outstanding Doctoral Students of Peking University Health Science Center 22115131National Natural Science Foundation of China 92459302, 82203881, U22A20327Peking University Medicine Sailing Program for Young Scholars' Scientific & Technological Innovation BMU2025YFJHPY039
6 · The paper itself

Abstract

backgroundThe success of novel antibody-drug conjugates, such as trastuzumab deruxtecan (T-DXd) and disitamab vedotin (RC48), has been pivotal in rendering “HER-2-low” gastric cancer (GC) a therapeutically targetable entity, expanding the population benefiting from anti-HER2 therapy by 2-3-fold. This advancement underscores the imperative to redefine and subclassify HER-2 status in GC. In this study, we innovatively proposed a four-tiered HER-2 classification standard for GC and, for the first time, conducted comparative analyses at the spatial single-cell multi-omics level across these four subgroups.

methodsHER-2 status was recategorized into absent (immunohistochemistry (IHC) 0+, HER2_N), low (IHC 1+, HER2_L), moderate (IHC 2+/fluorescence in situ hybridization (FISH)-, HER2_M), and high (IHC 2+/FISH + or IHC 3+, HER2_H) groups. Primary tumor samples from 427 GC patients were collected and analyzed using Xenium5K in situ single-cell spatial transcriptomics (n = 153) and multiplex immunofluorescence (n = 427) detection base on tissue microassays.

resultsThe proportion of samples that classified as HER2_N, HER2_L, HER2_M, and HER2_H was 43.13%, 22.88%, 11.11%, and 22.88%, respectively. Spatial HER-2 heterogeneous expression existed in 74.42% of HER-2 expressing GC and in 40.0% of HER2_H cases, which correlated with an unfavorable response to combined HER-2-targeted and immunotherapy and poor prognosis. In HER2_H group, lower infiltrates of exhausted T cells and regulatory T cells (Treg), higher cytotoxic activity of T cells, and enriched T cell-B cell niches were discovered, presenting a favorable tumor microenvironment that may benefit from immunotherapy. In HER2_M population, significantly higher CTLA4 + Treg infiltration, and their strengthened interactions with other cells via the CD80/CD86-CTLA4 axis were highlighted. HER2_L group exhibited increased infiltrates of SOX2-OT + mesenchymal cells and TGF-β-driven stromal-tumor cellular interactions. Moreover, HER2_N group presented a higher prevalence of diffuse and mixed histology, enriched endothelial cell-fibroblast-myeloid-derived suppressor cell niches, and augmented angiogenic activity.

conclusionDifferences in clinicopathologic, molecular, and immunological underpinnings were underscored across GC with differential HER-2 expression status, providing a rationale for a novel quaternary HER-2 classification system and the development of stratified therapeutic strategies.

Indexed as

Biomarkers, TumorErb-b2 Receptor Tyrosine KinasesSingle-Cell AnalysisStomach NeoplasmsTumor MicroenvironmentFemaleGene Expression Regulation, NeoplasticHumansImmunohistochemistryIn Situ Hybridization, FluorescenceMiddle AgedMultiomicsPrognosisSpatial TranscriptomicsBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesGastric cancerHER-2Multiplex immunofluorescenceSpatial transcriptomics

Identifiers

PMID41668052
PMCPMC13019854

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.