Effective prognostic risk model with cuproptosis-related genes in laryngeal cancer
Objective: Laryngeal cancer, characterized by high recurrence rates and a lack of effective biomarkers, has been associated with cuproptosis, a regulated cell death process linked to cancer progression. In this study, we aimed to explore the roles of cuproptosis-related genes in laryngeal cancer and...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-03-01
|
| Series: | Brazilian Journal of Otorhinolaryngology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1808869423001520 |
| _version_ | 1797234313753788416 |
|---|---|
| author | Cong Li Yongzhi Zhu Song Shi |
| author_facet | Cong Li Yongzhi Zhu Song Shi |
| author_sort | Cong Li |
| collection | DOAJ |
| description | Objective: Laryngeal cancer, characterized by high recurrence rates and a lack of effective biomarkers, has been associated with cuproptosis, a regulated cell death process linked to cancer progression. In this study, we aimed to explore the roles of cuproptosis-related genes in laryngeal cancer and their potential as prognostic markers and therapeutic targets. Methods: We collected comprehensive data from The Cancer Genome Atlas and Gene Expression Omnibus databases, including gene expression profiles and clinical data of laryngeal cancer patients. Using clustering and gene analysis, we identified cuproptosis-related genes with prognostic significance. A risk model was constructed based on these genes, categorizing patients into high- and low-risk groups for outcome comparison. Univariate and multivariate analyses were conducted to identify independent prognostic factors, which were then incorporated into a nomogram. Gene Set Enrichment Analysis was employed to explore pathways distinguishing high- and low-risk groups. Results: Our risk model, based on four genes, including transmembrane 2, dishevelled binding antagonist of β-catenin 1, stathmin 2, and G protein-coupled receptor 173, revealed significant differences in patient outcomes between high- and low-risk groups. Independent prognostic factors were identified and integrated into a nomogram, providing a valuable tool for prognostic prediction. Gene Set Enrichment Analysis uncovered up-regulated pathways specifically associated with high-risk patient samples. Conclusion: This study highlights the potential of cuproptosis-related genes as valuable prognostic markers and promising therapeutic targets in the context of laryngeal cancer. This research sheds light on new avenues for understanding and managing this challenging disease. Level of evidence: Level 4. |
| first_indexed | 2024-03-08T13:49:58Z |
| format | Article |
| id | doaj.art-1127245ca6b64cccbd4244152caded6f |
| institution | Directory Open Access Journal |
| issn | 1808-8694 |
| language | English |
| last_indexed | 2024-04-24T16:30:05Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Brazilian Journal of Otorhinolaryngology |
| spelling | doaj.art-1127245ca6b64cccbd4244152caded6f2024-03-30T04:38:57ZengElsevierBrazilian Journal of Otorhinolaryngology1808-86942024-03-01902101384Effective prognostic risk model with cuproptosis-related genes in laryngeal cancerCong Li0Yongzhi Zhu1Song Shi2Shanghai Jiao Tong University School of Medicine, Tongren Hospital, Department of Otorhinolaryngology, Shanghai, ChinaZhengzhou Shuqing Medical College, Zhengzhou, ChinaShanghai Jiao Tong University School of Medicine, Tongren Hospital, Department of Otorhinolaryngology, Shanghai, China; Corresponding author.Objective: Laryngeal cancer, characterized by high recurrence rates and a lack of effective biomarkers, has been associated with cuproptosis, a regulated cell death process linked to cancer progression. In this study, we aimed to explore the roles of cuproptosis-related genes in laryngeal cancer and their potential as prognostic markers and therapeutic targets. Methods: We collected comprehensive data from The Cancer Genome Atlas and Gene Expression Omnibus databases, including gene expression profiles and clinical data of laryngeal cancer patients. Using clustering and gene analysis, we identified cuproptosis-related genes with prognostic significance. A risk model was constructed based on these genes, categorizing patients into high- and low-risk groups for outcome comparison. Univariate and multivariate analyses were conducted to identify independent prognostic factors, which were then incorporated into a nomogram. Gene Set Enrichment Analysis was employed to explore pathways distinguishing high- and low-risk groups. Results: Our risk model, based on four genes, including transmembrane 2, dishevelled binding antagonist of β-catenin 1, stathmin 2, and G protein-coupled receptor 173, revealed significant differences in patient outcomes between high- and low-risk groups. Independent prognostic factors were identified and integrated into a nomogram, providing a valuable tool for prognostic prediction. Gene Set Enrichment Analysis uncovered up-regulated pathways specifically associated with high-risk patient samples. Conclusion: This study highlights the potential of cuproptosis-related genes as valuable prognostic markers and promising therapeutic targets in the context of laryngeal cancer. This research sheds light on new avenues for understanding and managing this challenging disease. Level of evidence: Level 4.http://www.sciencedirect.com/science/article/pii/S1808869423001520CuproptosisRisk modelPrognosisLaryngeal cancerImmune |
| spellingShingle | Cong Li Yongzhi Zhu Song Shi Effective prognostic risk model with cuproptosis-related genes in laryngeal cancer Brazilian Journal of Otorhinolaryngology Cuproptosis Risk model Prognosis Laryngeal cancer Immune |
| title | Effective prognostic risk model with cuproptosis-related genes in laryngeal cancer |
| title_full | Effective prognostic risk model with cuproptosis-related genes in laryngeal cancer |
| title_fullStr | Effective prognostic risk model with cuproptosis-related genes in laryngeal cancer |
| title_full_unstemmed | Effective prognostic risk model with cuproptosis-related genes in laryngeal cancer |
| title_short | Effective prognostic risk model with cuproptosis-related genes in laryngeal cancer |
| title_sort | effective prognostic risk model with cuproptosis related genes in laryngeal cancer |
| topic | Cuproptosis Risk model Prognosis Laryngeal cancer Immune |
| url | http://www.sciencedirect.com/science/article/pii/S1808869423001520 |
| work_keys_str_mv | AT congli effectiveprognosticriskmodelwithcuproptosisrelatedgenesinlaryngealcancer AT yongzhizhu effectiveprognosticriskmodelwithcuproptosisrelatedgenesinlaryngealcancer AT songshi effectiveprognosticriskmodelwithcuproptosisrelatedgenesinlaryngealcancer |