Evidence map›Paper›PMID 41401745›Full record

ArticleInternational dental journal2026

Unveiling Alternative Splicing in HPV-Negative HNSCC: Links to Tumorigenesis and Immune Landscape.

Shensui Li, Mianmian Duan, Xiangrui Ma, Yadong Wu, Jianyong Kang, Zhenglong Tang, Xudong Tian

Abstract read
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Article in International dental journal, 2026. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shensui LiDepartment of Oral and Maxillofacial Surgery, Guizhou Medical University, Guiyang, Guizhou, China.
Mianmian DuanDepartment of Oral and Maxillofacial Surgery, Guizhou Medical University, Guiyang, Guizhou, China; Department of Stomatology, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Xiangrui MaDepartment of Oral and Maxillofacial Surgery, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Yadong WuDepartment of Oral and Maxillofacial Surgery, Guizhou Medical University, Guiyang, Guizhou, China.
Jianyong KangDepartment of Oral and Maxillofacial Surgery, Guizhou Medical University, Guiyang, Guizhou, China.
Zhenglong TangDepartment of Oral and Maxillofacial Surgery, Guizhou Medical University, Guiyang, Guizhou, China.
Xudong TianDepartment of Oral and Maxillofacial Surgery, Guizhou Medical University, Guiyang, Guizhou, China. Electronic address: tianxudong@gmc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlternative splicing (AS) plays crucial roles in tumorigenesis by regulating cancer development, progression, and patient outcomes. However, the prognostic value of AS in HPV-negative head and neck squamous cell carcinoma (HNSCC), a subtype with distinct clinical features and poor prognosis compared to HPV-positive HNSCC, remains underexplored. This study aimed to develop a robust predictive signature based on AS events in HPV-negative HNSCC.

methodsWe retrieved RNA-sequencing (RNA-seq) data and clinical profiles of the HNSCC cohort from The Cancer Genome Atlas (TCGA) via its data portal. Percentage Spliced In (PSI) values were derived from TCGA SpliceSeq. To identify prognostic AS events in HPV-negative HNSCC, we first performed univariate Cox analysis. Subsequently, we used Least Absolute Shrinkage and Selection Operator (LASSO) regression and stepwise multivariate Cox regression to develop a prognostic signature. The efficacy of this signature in predicting outcomes was assessed using Kaplan-Meier survival curves and receiver operating characteristic (ROC) analyses. Additionally, gene set enrichment analysis (GSEA) was applied to the prognostic signatures. The levels of tumor-infiltrating immune cells were quantified using established deconvolution algorithms (e.g., CIBERSORT, xCell, MCP-counter).

resultsWe identified 42,849 AS events across 388 HPV-negative HNSCC cases, of which 1,062 events were significantly associated with patient prognosis. We developed a prognostic signature based on the 21 most significant AS events, demonstrating high accuracy in predicting survival in HPV-negative HNSCC. This signature emerged as an independent prognostic factor. GSEA and immune microenvironment profiling revealed that the low-risk group exhibited enrichment in immune activation and antigen presentation pathways, in contrast to the high-risk group, which was linked to cell proliferation processes.

conclusionsWe successfully constructed and validated a novel AS-related prognostic signature that enhances personalized survival prediction in patients with HPV-negative HNSCC.

Indexed as

Alternative SplicingCarcinogenesisHead and Neck NeoplasmsSquamous Cell Carcinoma of Head and NeckFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisAlternative splicingHead and neck squamous cell carcinomaHuman papillomavirus negativeImmune microenvironmentPrognosis

Identifiers

PMID41401745
PMCPMC12767817

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