Evidence map›Paper›PMID 41678015›Full record

ArticleDiscover oncology2026

Integrated analysis of glutamine metabolism and immune microenvironment identifies GOT2 as a prognostic gene in head and neck squamous cell carcinoma.

Xikong Pan, Tingbo Ye, Jianjun Liu, Xucai Zheng

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

4 authors.

Xikong Pan *Department of Thyroid Surgery, West District of The First Affiliated Hospital of University of Science and Technology of China, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Tingbo Ye *Department of Thyroid and Breast Surgery, Lu'an People's Hospital, Lu'an, China.
Jianjun LiuDepartment of Breast Surgery, West District of The First Affiliated Hospital of University of Science and Technology of China, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China. ljianjun@ustc.edu.cn.
Xucai ZhengDepartment of Thyroid Surgery, West District of The First Affiliated Hospital of University of Science and Technology of China, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China. ahszlyyzxc@163.com.

Funding

National Natural Science Foundation of China 81802641
6 · The paper itself

Abstract

Glutamine metabolism plays a key role in cancer initiation and progression. This study aims to explore the independent and interactive roles of glutamine metabolism-related genes and immune characteristic in head and neck squamous cell carcinoma (HNSCC). Clinical and gene expression data from HNSCC patients were downloaded from the Gene Expression Omnibus (GEO) database and The Cancer Genome Atlas (TCGA). A comprehensive evaluation of 21 glutamine metabolism-related genes in HNSCC tissues was conducted. A risk model based on glutamine metabolism-related genes was constructed using Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses. The association between glutamine metabolism-related genes and immune infiltration was assessed using the Estimation of STromal and Immune cells in MAlignant Tumors using Expression data (ESTIMATE) method. The expression levels of the hub gene were verified in vitro models. Four glutamine metabolism-related genes (GOT2, FAH, LAT, and SLC7A11) were identified for constructing a risk score model for HNSCC patients. High expression levels of GOT2 were identified as a poor prognostic factor in HNSCC, as demonstrated by Kaplan-Meier analysis (HR:1.006, p < 0.001). Patients with a low-risk score exhibited higher ESTIMATE scores and Immune Scores compared to those with a high-risk score. GOT2 emerged as a hub gene associated with the survival of HNSCC patients. In vitro functional experiments demonstrated that downregulation of GOT2 expression suppresses proliferation, invasion, and metastasis. In conclusions, we developed and validated a prognostic risk scoring system based on four glutamine metabolism-associated genes, which demonstrated robust predictive capacity for clinical outcomes and immune infiltration patterns in HNSCC. Mechanistically, GOT2 emerged as a central regulator interfacing with the immunosuppressive tumor microenvironment, potentially driving oncogenesis through dual metabolic-immune reprogramming. These findings highlight GOT2 as a novel therapeutic target, offering a promising strategy to overcome immunotherapy resistance in HNSCC.

Indexed as

Glutamine metabolismGOT2Head and neck squamous cell carcinomaImmunotherapy

Identifiers

PMID41678015
PMCPMC13000064

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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.