Evidence map›Paper›PMID 42112354›Full record

ReviewFrontiers in immunology2026

Epstein-Barr virus-associated tumors: commonalities in pathogenesis and the tumor immune microenvironment.

Xiyi Wang, Dongmei Hu, Renqin Li, Wenjun Liao, Chao Li, Qiuhan Liu, Jiayao Li, Qiaohua Li, Wenpei Guo, Liyang Wang and 2 more

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Xiyi Wang *Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Dongmei Hu *Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Renqin Li *Department of Clinical Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Wenjun LiaoDepartment of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Chao LiDepartment of Head and Neck Surgery, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Qiuhan LiuDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Jiayao LiSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Qiaohua LiDepartment of Radiation Oncology, Sichuan Cancer Hospital & Institute, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Wenpei GuoSchool of Clinical Medicine, Southwest Medical University, Luzhou, Sichuan, China.
Liyang WangDepartment of Clinical Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Shichuan ZhangDepartment of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Yue ZhaoDepartment of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epstein-Barr virus (EBV) is associated with a wide spectrum of lymphoid and epithelial malignancies. This review provides a comprehensive pan-tumor perspective on the convergent oncogenic mechanisms, immune microenvironment characteristics, and shared therapeutic vulnerabilities across EBV-related cancers. We systematically summarize EBV infection and latency patterns, highlighting key shared signaling networks (e.g., NF-κB, PI3K/AKT) alongside nuanced immune evasion strategies, such as HLA modulation and steric immune blockade. By bridging these molecular insights with clinical translation, we evaluate emerging therapeutic paradigms, including immune checkpoint inhibitors, EBV-specific T-cell therapies, neutralizing antibodies, and mRNA vaccines. Ultimately, this synthesis underscores the potential of exploiting shared viral vulnerabilities to develop pan-tumor targeted therapies, offering a strategic roadmap for future clinical development.

Indexed as

Epstein-Barr Virus InfectionsHerpesvirus 4, HumanNeoplasmsTumor MicroenvironmentAnimalsHumansSignal TransductionVirus LatencyEpstein-Barr virusoncogenesisPD-L1tumor microenvironmenttumor vaccine

Identifiers

PMID42112354
PMCPMC13153086

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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.