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Molecular characterization, immunocorrelation analysis, WGCNA analysis and machine learning modeling of genes associated with copper death subtypes of laryngeal cancer.
Du, Huihui; Zhu, Kaiquan.
Afiliação
  • Du H; Department of Otolaryngology, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou, China.
  • Zhu K; Department of Otolaryngology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Technol Health Care ; 2024 Jul 25.
Article em En | MEDLINE | ID: mdl-39302398
ABSTRACT

BACKGROUND:

Laryngeal cancer is a malignant tumor that originates from the mucous membrane of the larynx. Currently, the specific involvement mechanism of copper death in laryngeal cancer patients has not been deeply studied.

OBJECTIVE:

This study aims to explore the molecular characteristics and clinical survival significance of copper death-related genes in laryngeal cancer.

METHODS:

Relevant transcriptomes and clinical data were retrieved and downloaded from the GEO database. Differential expression genes related to laryngeal cancer and copper death were selected, and the immune function, clinical risk correlation, and survival prognosis were analyzed.

RESULTS:

The differential analysis results showed that the differential expression genes related to laryngeal cancer and Cu-proptosis included SLC31A1 and ATP7B, and there was interaction between the immune cell groups in the differential genes of copper death in laryngeal cancer. Decreasing the expression of the gene ANXA5 or increasing the expression of the gene SERPINH1 can increase the susceptibility to laryngeal cancer.

CONCLUSION:

Copper death-related genes can affect the survival prognosis of laryngeal cancer patients. Detection of changes in their expression can provide new diagnostic and treatment directions for the progression of early-stage laryngeal cancer.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Technol Health Care Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Technol Health Care Ano de publicação: 2024 Tipo de documento: Article