Evidence map›Paper›PMID 42474130›Full record

ArticleTechnology in cancer research & treatment

Pain-Related PANoptosis Gene Signature Predicts Prognosis and Guides Therapy in Oral Squamous Cell Carcinoma.

Ying Yao, Qi Liu, Silu Chen, Yan Wang, Xiang Gao

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Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ying YaoDepartment of Anesthesiology, Stomatological Hospital of Chongqing Medical University, Chongqing, China.ORCID 0009-0008-4207-7504
Qi LiuDepartment of Anesthesiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID 0009-0007-4570-2451
Silu ChenDepartment of Anesthesiology, Stomatological Hospital of Chongqing Medical University, Chongqing, China.
Yan WangDepartment of Anesthesiology, Stomatological Hospital of Chongqing Medical University, Chongqing, China.
Xiang GaoChongqing Key Laboratory of Oral Diseases and Biomedical Sciences; Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Stomatological Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionThis study aimed to develop a prognostic model based on pain-related PANoptosis genes to enhance therapeutic decision-making for oral squamous cell carcinoma (OSCC) patients.MethodsRNA sequencing data from 323 OSCC patients and 43 controls in the TCGA cohort were analyzed to identify differentially expressed genes (DEGs). Correlation analysis revealed pain-related PANoptosis genes, and a prognostic model was developed using Cox and LASSO regression and validated in the GSE42743 cohort. Immune microenvironment differences were assessed, and drug sensitivity was predicted. qRT-PCR was employed to validate gene expression alterations in OSCC tissues.ResultsAmong 2,253 DEGs, 38 overlapped with PANoptosis-related genes, leading to the identification of 37 pain-related PANoptosis genes that characterized two OSCC subtypes. A Pain-Related PANoptosis-gene model (including CA9, DEFB1, DES, IGLL5, LCE3D, LYNX1, SPINK7) achieved AUCs of 0.626 and 0.690 in the TCGA and validation cohorts, respectively. Significant immune microenvironment differences were noted, with high-risk patients showing immune characteristics associated with a more immunosuppressive environment. GSEA identified activated pathways like autophagy and chemokine signaling in high-risk patients.ConclusionsThe pain-related PANoptosis-gene model effectively stratifies OSCC patients by risk. Sepantronium bromide may represent a potential therapeutic candidate for high-risk patients; however, further experimental validation is required.

Indexed as

Biomarkers, TumorCarcinoma, Squamous CellMouth NeoplasmsPainTranscriptomeComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMalePrognosisTumor MicroenvironmentBiomarkers, Tumororal squamous cell carcinomapain-related genesPANoptosisprognostic modeltherapy

Identifiers

PMID42474130
PMCPMC13385609

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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.