Evidence map›Paper›PMID 39668833›Full record

ArticleJournal of Cancer2024

Prognostic model based on centrosome-related genes constructed in head and neck squamous cell carcinoma.

Peng Zhang, Chunrong Xiong, Dunhui Yang, Kang Li, Zhen Wang, Fang Ma, Xianqin Liao, Miao Xie, Xianhai Zeng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of Cancer, 2024. 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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

1 citing paper in PubMed.

  1. Article
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

9 authors.

Peng ZhangDepartment of Otolaryngology, Longgang Otolaryngology Hospital & Shenzhen Key Laboratory of Otolaryngology, Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, China.
Chunrong XiongSchool of Computer Science and Engineering, Yulin Normal University, Yulin, 537000, China.
Dunhui YangDepartment of Otolaryngology, Longgang Otolaryngology Hospital & Shenzhen Key Laboratory of Otolaryngology, Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, China.
Kang LiDepartment of Otolaryngology, Longgang Otolaryngology Hospital & Shenzhen Key Laboratory of Otolaryngology, Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, China.
Zhen WangDepartment of Otolaryngology, Longgang Otolaryngology Hospital & Shenzhen Key Laboratory of Otolaryngology, Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, China.
Fang MaDepartment of Otolaryngology, Longgang Otolaryngology Hospital & Shenzhen Key Laboratory of Otolaryngology, Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, China.
Xianqin LiaoDepartment of Otolaryngology, Longgang Otolaryngology Hospital & Shenzhen Key Laboratory of Otolaryngology, Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, China.
Miao XieSchool of Computer Science and Engineering, Yulin Normal University, Yulin, 537000, China.
Xianhai ZengDepartment of Otolaryngology, Longgang Otolaryngology Hospital & Shenzhen Key Laboratory of Otolaryngology, Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Head and neck squamous cell carcinoma (HNSCC) is the most common malignant tumor in the epithelium of the head and neck. The role of the centrosome in malignant tumors is crucial. However, research on the centrosome in HNSCC remains largely unexplored. In this study, bioinformatics tools were utilized to analyze the expression and prognostic significance of centrosome-related genes (CRGs). CRGs exhibited a relatively high mutation frequency in HNSCC. Consensus unsupervised clustering analysis based on the expression profiles of CRGs revealed significant associations with clinical features, prognosis and immune microenvironment in HNSCC. Prognostic features were constructed using univariate and LASSO Cox regression, resulting in a centrosome-related model with eleven features. Patients were classified into high-risk and low-risk groups based on median risk scores. External validation using the GSE41613 dataset from the GEO database confirmed the reliability of the centrosome-related model. The model was associated with the prognosis of HNSCC patients, and centrosome-related features could impact tumor prognosis by influencing the tumor immune microenvironment. Finally, qPCR showed that CRGs were highly expressed in tumor tissues. This study developed a novel centrosome-related prognostic model, applicable for predicting the prognosis and immune landscape of HNSCC patients, offering potential targets for future HNSCC treatment.

Indexed as

centrosomeHNSCCimmune infiltrationprognostic model

Identifiers

PMID39668833
PMCPMC11632974

What Socratic holds

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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 Socratic graph.