Evidence map›Paper›PMID 39844758›Full record

ArticleActa otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale2025

Identification of IGF2BP2 and long non-coding RNA TUG1 for the prognosis and tumour microenvironment in head and neck squamous cell carcinoma.

Wenhui Yuan, Yuanzheng Qiu, Qinglai Tang, Mengmeng Li, Xiaojun Tang, Tao Yang

Abstract read
In one paragraph

Article in Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale, 2025. 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

What it found

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Wenhui YuanDepartment of Otolaryngology Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yuanzheng QiuDepartment of Otolaryngology Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qinglai TangDepartment of Otolaryngology Head and Neck Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Mengmeng LiDepartment of Otolaryngology Head and Neck Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xiaojun TangDepartment of Otolaryngology Head and Neck Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Tao YangDepartment of Otolaryngology Head and Neck Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the role of m6A-related long non-coding RNAs (lncRNAs) in the prognosis and tumour microenvironment of head and neck squamous cell carcinoma (HNSCC). Methods: 497 samples from The Cancer Genome Atlas were analysed to identify m6A-related lncRNAs via correlation models. Tripartite regression models, Kaplan-Meier analysis and nomograms were then utilised to assess the prognostic significance of these lncRNAs. Tumour mutation burden and immune cell infiltration analyses were also performed. Moreover, m6A-related lncRNAs expression and relation with IGF2BP2 were confirmed by RT-qPCR. Results: The risk model revealed that high-risk scores predicted poorer survival outcomes. The area under ROC curves for predicting 1-, 3-, 5-year survival in the training set were 0.70, 0.68, and 0.64, respectively. Seven key m6A-related lncRNAs showed associations with immune checkpoint molecules, especially CTLA4 and PD-1. Finally, we found that knockdown of TUG1 repressed the expression of IGF2BP2. Conclusions: Our results suggest that the m6A-related lncRNA risk model has potential clinical utility in predicting prognosis and immunotherapeutic responses in patients with HNSCC. Identification of candidate compounds for immunotherapy further emphasises the model's relevance in guiding treatment decisions for HNSCC.

Indexed as

Head and Neck NeoplasmsRNA-Binding ProteinsRNA, Long NoncodingSquamous Cell Carcinoma of Head and NeckTumor MicroenvironmentFemaleHumansMaleMiddle AgedPrognosisIGF2BP2 protein, humanRNA-Binding ProteinsRNA, Long NoncodingTUG1 long noncoding RNA, humanhead and neck cancerlong non-coding RNAN6-methyladenosinesquamous cell carcinomatumour microenvironment

Identifiers

PMID39844758
PMCPMC12068515

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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.