A signature based on circadian rhythm-associated genes for the evaluation of prognosis and the tumour microenvironment in HNSCC
Abstract The morbidity and mortality rates of head and neck squamous cell carcinoma (HNSCC) remain high worldwide. Therefore, there is an urgent need to identify a new prognostic biomarker to guide the personalized treatment of HNSCC patients. Increasing evidence suggests that circadian rhythm genes...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-03-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-57160-5 |
| _version_ | 1797233692704243712 |
|---|---|
| author | Changqian Wang Xiang Liu Pengkhun Nov Lilin Li Chunhui Li Xuejiao Liao Luyao Li Kunpeng Du Jiqiang Li |
| author_facet | Changqian Wang Xiang Liu Pengkhun Nov Lilin Li Chunhui Li Xuejiao Liao Luyao Li Kunpeng Du Jiqiang Li |
| author_sort | Changqian Wang |
| collection | DOAJ |
| description | Abstract The morbidity and mortality rates of head and neck squamous cell carcinoma (HNSCC) remain high worldwide. Therefore, there is an urgent need to identify a new prognostic biomarker to guide the personalized treatment of HNSCC patients. Increasing evidence suggests that circadian rhythm genes play an important role in the development and progression of cancer. We aimed to explore the value of circadian rhythm genes in predicting prognosis and guiding the treatment of HNSCC. We first obtained a list of circadian rhythm genes from previous research. The sequencing data were retrieved from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Finally, univariate Cox proportional hazard analysis, least absolute shrinkage and selection operator (LASSO) regression, and multivariate Cox proportional hazard analysis were performed to develop a prognostic signature (Circadian Rhythm-Related Gene Prognostic Index, CRRGPI) consisting of nine circadian rhythm genes. The signature exhibited good performance in predicting overall survival. Patients with low CRRGPI scores had lower metabolic activities and an active antitumour immunity ability. Additionally, a clinical cohort was used to further evaluate the ability of the CRRGPI to predict the efficacy of immune checkpoint inhibitors. In conclusion, the novel circadian rhythm-related gene signature can provide a precise prognostic evaluation with the potential capacity to guide individualized treatment regimens for HNSCC patients. |
| first_indexed | 2024-04-24T16:20:13Z |
| format | Article |
| id | doaj.art-b3ed423371b94dd9a9ab704989db9aeb |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-24T16:20:13Z |
| publishDate | 2024-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-b3ed423371b94dd9a9ab704989db9aeb2024-03-31T11:16:39ZengNature PortfolioScientific Reports2045-23222024-03-0114111710.1038/s41598-024-57160-5A signature based on circadian rhythm-associated genes for the evaluation of prognosis and the tumour microenvironment in HNSCCChangqian Wang0Xiang Liu1Pengkhun Nov2Lilin Li3Chunhui Li4Xuejiao Liao5Luyao Li6Kunpeng Du7Jiqiang Li8Department of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical UniversityDepartment of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical UniversityDepartment of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical UniversityDepartment of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical UniversityDepartment of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical UniversityDepartment of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical UniversityDepartment of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical UniversityDepartment of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical UniversityDepartment of Radiation Oncology, Oncology Center, Zhujiang Hospital of Southern Medical UniversityAbstract The morbidity and mortality rates of head and neck squamous cell carcinoma (HNSCC) remain high worldwide. Therefore, there is an urgent need to identify a new prognostic biomarker to guide the personalized treatment of HNSCC patients. Increasing evidence suggests that circadian rhythm genes play an important role in the development and progression of cancer. We aimed to explore the value of circadian rhythm genes in predicting prognosis and guiding the treatment of HNSCC. We first obtained a list of circadian rhythm genes from previous research. The sequencing data were retrieved from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Finally, univariate Cox proportional hazard analysis, least absolute shrinkage and selection operator (LASSO) regression, and multivariate Cox proportional hazard analysis were performed to develop a prognostic signature (Circadian Rhythm-Related Gene Prognostic Index, CRRGPI) consisting of nine circadian rhythm genes. The signature exhibited good performance in predicting overall survival. Patients with low CRRGPI scores had lower metabolic activities and an active antitumour immunity ability. Additionally, a clinical cohort was used to further evaluate the ability of the CRRGPI to predict the efficacy of immune checkpoint inhibitors. In conclusion, the novel circadian rhythm-related gene signature can provide a precise prognostic evaluation with the potential capacity to guide individualized treatment regimens for HNSCC patients.https://doi.org/10.1038/s41598-024-57160-5HNSCCCircadian rhythmTumour microenvironmentMetabolismImmunity |
| spellingShingle | Changqian Wang Xiang Liu Pengkhun Nov Lilin Li Chunhui Li Xuejiao Liao Luyao Li Kunpeng Du Jiqiang Li A signature based on circadian rhythm-associated genes for the evaluation of prognosis and the tumour microenvironment in HNSCC Scientific Reports HNSCC Circadian rhythm Tumour microenvironment Metabolism Immunity |
| title | A signature based on circadian rhythm-associated genes for the evaluation of prognosis and the tumour microenvironment in HNSCC |
| title_full | A signature based on circadian rhythm-associated genes for the evaluation of prognosis and the tumour microenvironment in HNSCC |
| title_fullStr | A signature based on circadian rhythm-associated genes for the evaluation of prognosis and the tumour microenvironment in HNSCC |
| title_full_unstemmed | A signature based on circadian rhythm-associated genes for the evaluation of prognosis and the tumour microenvironment in HNSCC |
| title_short | A signature based on circadian rhythm-associated genes for the evaluation of prognosis and the tumour microenvironment in HNSCC |
| title_sort | signature based on circadian rhythm associated genes for the evaluation of prognosis and the tumour microenvironment in hnscc |
| topic | HNSCC Circadian rhythm Tumour microenvironment Metabolism Immunity |
| url | https://doi.org/10.1038/s41598-024-57160-5 |
| work_keys_str_mv | AT changqianwang asignaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc AT xiangliu asignaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc AT pengkhunnov asignaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc AT lilinli asignaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc AT chunhuili asignaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc AT xuejiaoliao asignaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc AT luyaoli asignaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc AT kunpengdu asignaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc AT jiqiangli asignaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc AT changqianwang signaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc AT xiangliu signaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc AT pengkhunnov signaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc AT lilinli signaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc AT chunhuili signaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc AT xuejiaoliao signaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc AT luyaoli signaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc AT kunpengdu signaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc AT jiqiangli signaturebasedoncircadianrhythmassociatedgenesfortheevaluationofprognosisandthetumourmicroenvironmentinhnscc |