Evidence map›Paper›PMID 40433880›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Immunotyping the Tumor Microenvironment Reveals Molecular Heterogeneity for Personalized Immunotherapy in Cancer.

Dongqiang Zeng, Yunfang Yu, Wenjun Qiu, Qiyun Ou, Qianqian Mao, Luyang Jiang, Jianhua Wu, Jiani Wu, Huiyan Luo, Peng Luo and 18 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. 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.

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  14. [Single-cell RNA sequencing of B cells reveals molecular typing in Sjögren syndrome].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025
    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

28 authors.

Dongqiang ZengCancer Center, The Sixth Affiliated Hospital, School of Medicine, South China University of Technology, Foshan, 528000, China.ORCID https://orcid.org/0000-0001-9724-8325
Yunfang YuGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Department of Medical Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
Wenjun QiuDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Qiyun OuDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Qianqian MaoCancer Center, The Sixth Affiliated Hospital, School of Medicine, South China University of Technology, Foshan, 528000, China.
Luyang JiangDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Jianhua WuDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Jiani WuDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Huiyan LuoSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, 510060, P. R. China.
Peng LuoDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, 510280, China.
Wenchao GuDepartment of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chiba, 260-8677, Japan.
Na HuangDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Siting ZhengDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Shaowei LiDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Yonghong LaiDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Xiatong HuangDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Yiran FangDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Qiongzhi ZhaoCancer Center, The Sixth Affiliated Hospital, School of Medicine, South China University of Technology, Foshan, 528000, China.
Rui ZhouDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Huiying SunDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Wei ZhangDepartment of Breast Surgery, The First Affiliated Hospital, Jinan University, Guangzhou, 510630, China.
Jianping BinDepartment of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Yulin LiaoDepartment of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Masami YamamotoLaboratory of Physiological Pathology, School of Veterinary Nursing and Technology, Nippon Veterinary and Life Science University, Tokyo, 180-8602, Japan.
Tetsuya TsukamotoDepartment of Diagnostic Pathology, Fujita Health University School of Medicine, Toyoake, Aichi, 470-1192, Japan.
Sachiyo NomuraDepartment of Gastrointestinal Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan.
Min ShiDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Wangjun LiaoCancer Center, The Sixth Affiliated Hospital, School of Medicine, South China University of Technology, Foshan, 528000, China.

Funding

GuangDong Basic and Applied Basic Research Foundation 2023A1515010208GuangDong Basic and Applied Basic Research Foundation 2023A1515011214GuangDong Basic and Applied Basic Research Foundation 2023A1515110193GuangDong Basic and Applied Basic Research Foundation 2024B1212030002Guangzhou Science and Technology Project 202206080011Guangzhou Science and Technology Project 2023A03J0599Guangzhou Science and Technology Project 2023A03J0722National Natural Science Foundation of China 82272635National Natural Science Foundation of China 82404016National Natural Science Foundation of China 82404087
6 · The paper itself

Abstract

The tumor microenvironment (TME) significantly influences cancer prognosis and therapeutic outcomes, yet its composition remains highly heterogeneous, and currently, no highly accessible, high-throughput method exists to define it. To address this complexity, the TMEclassifier, a machine-learning tool that classifies cancers into three distinct subtypes: immune Exclusive (IE), immune Suppressive (IS), and immune Activated (IA), is developed. Bulk RNA sequencing categorizes patient samples by TME subtype, and in vivo mouse model validates TME subtype differences and differential responses to immunotherapy. The IE subtype is marked by high stromal cell abundance, associated with aggressive cancer phenotypes. The IS subtype features myeloid-derived suppressor cell infiltration, intensifying immunosuppression. In contrast, the IA subtype, often linked to EBV/MSI, exhibits robust T-cell presence and improved immunotherapy response. Single-cell RNA sequencing is applied to explore TME cellular heterogeneity, and in vivo experiments demonstrate that targeting IL-1 counteracts immunosuppression of IS subtype and markedly improves its responsiveness to immunotherapy. TMEclassifier predictions are validated in this prospective gastric cancer cohort (TIMES-001) and other diverse cohorts. This classifier could effectively stratify patients, guiding personalized immunotherapeutic strategies to enhance precision and overcome resistance.

Indexed as

ImmunotherapyNeoplasmsPrecision MedicineTumor MicroenvironmentAnimalsHumansMachine LearningMicecancerIL‐1immunotherapyimmunotypingtumor microenvironment

Identifiers

PMID40433880
PMCPMC12224993

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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.