Evidence map›Paper›PMID 40304333›Full record

ArticleCurrent medicinal chemistry2026

Identification and Experimental Validation of Tumor Antigens and Hypoxia Subtypes of Osteosarcoma for Potential mRNA Vaccine Development.

Chunnian Ren, Dawei He, Quan Wang

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Article in Current medicinal chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Chunnian RenChongqing Key Laboratory of Pediatrics, Department of Cardiothoracic Surgery, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing, China.
Dawei HeDepartment of Urology Surgery, Children's Hospital of Chongqing Medical University, Chongqing, China.
Quan WangChongqing Key Laboratory of Pediatrics, Department of Cardiothoracic Surgery, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing, China.

Funding

Chongqing Natural Science Foundation Postdoctoral Science Foundation Project Cstc2021jcyj-bshx0132Chongqing Natural Science Foundation Project CSTB2024NSCQ-MSX0270National Natural Science Foundation of China 82400362, 82200095
6 · The paper itself

Abstract

backgroundOsteosarcoma is the most common primary malignant bone tumor in children and adolescents. The aim of this study was to explore the possibility of OS hypoxia subtype for anti-OS mRNA vaccine development and select suitable patients for precision therapy.

methodsWe comprehensively explored hypoxia-related genes (HRGs) as potential sources of tumor neoantigens in OS patients. Gene set enrichment analysis algorithm and consensus clustering analysis were used to determine immune subtypes and evaluate tumor microenvironment. Estimation of stromal and immune cells in malignant tumour tissues using expression data algorithm was used to assess tumour immune activity. The OS hypoxia landscape was visualized using dimensionality reduction analysis based on the DDRTree algorithm. Assessment of clinical samples and molecular experiments were performed to verify the determined tumor antigens.

resultsFour overexpressed and mutated tumor antigens associated with prognosis and infiltration of antigen-presenting cells were identified and verified by clinical samples and molecular experiments. Furthermore, OS patients were stratified into two OS hypoxia subtypes. Interestingly, patients with the OS hypoxia subtype 1 tumor had a superior survival than those with the OS hypoxia subtype 2 tumor. Distinct expressions of immune checkpoint proteins (ICPs) and immunogenic cell death (ICD) modulators were observed in different immune subtype tumors. Finally, the immune landscape of OS showed a high degree of heterogeneity between individual patients.

conclusionThis study identified potential antigens for the anti-OS mRNA vaccine as well as different OS hypoxia subtypes, guiding more effective immunotherapeutic strategies and selecting appropriate patients for tumor vaccine therapy.

Indexed as

Antigens, NeoplasmBone NeoplasmsCancer VaccinesmRNA VaccinesOsteosarcomaRNA, MessengerVaccine DevelopmentHumansTumor MicroenvironmentAntigens, NeoplasmCancer VaccinesmRNA VaccinesRNA, Messengerhypoxia landscapehypoxia subtypehypoxia subtypesmRNA vaccineosteosarcomatumor antigen

Identifiers

PMID40304333
PMCPMC13555841

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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.