The association between diabetes and head and neck squamous cell carcinoma: evidence from clinical cohort and bioinformatics analyses
IntroductionDiabetes mellitus (DM) is a known risk factor for various cancers, but its relationship with head and neck squamous cell carcinoma (HNSCC) remains unclear. This study explores clinical and molecular links between DM and HNSCC through integrative analyses of patient data and bioinformatic...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-08-01
|
| Series: | Frontiers in Genetics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2025.1660012/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849404817086087168 |
|---|---|
| author | Yurong He Yurong He Jiaming Chen Boxuan Han Boxuan Han Yanming Zhao Yanming Zhao Lizhen Hou Lizhen Hou Jugao Fang Jugao Fang Meng Lian Meng Lian |
| author_facet | Yurong He Yurong He Jiaming Chen Boxuan Han Boxuan Han Yanming Zhao Yanming Zhao Lizhen Hou Lizhen Hou Jugao Fang Jugao Fang Meng Lian Meng Lian |
| author_sort | Yurong He |
| collection | DOAJ |
| description | IntroductionDiabetes mellitus (DM) is a known risk factor for various cancers, but its relationship with head and neck squamous cell carcinoma (HNSCC) remains unclear. This study explores clinical and molecular links between DM and HNSCC through integrative analyses of patient data and bioinformatics.MethodsA retrospective cohort of 728 HNSCC patients was analyzed to assess sex-specific co-occurrence with DM. A simulation-based epidemiological model quantified associations based on observed clinical data and population incidence rates. Literature-based data mining was used to extract gene–disease associations for DM and HNSCC, followed by functional enrichment, pathway and network analyses of overlapping genes.ResultsThe simulation revealed a significant association between DM and HNSCC, stronger in males (Odds Ratio [OR] = 3.03, p = 6.28 × 10−50) than in females (OR = 2.18, p = 8.7 × 10−12). Data mining uncovered 3,489 overlapping genes (OR = 6.73, p < 4.95 × 10−319), including nine key genes (GPX4, NLRP3, CASP3, HOTAIR, SRC, IGF2BP2, APP, CYP2C19, and PVT1) tightly interconnected and functionally enriched in inflammation, metabolism, and neurological signaling pathways. Four genes—CYP2C19, NLRP3, PVT1, and APP—appear central to DM’s influence on HNSCC via the protein–protein interaction (PPI) network.ConclusionThese findings reveal a significant clinical and molecular connection between DM and HNSCC, especially in males, and highlight potential targets for future prevention and treatment strategies. |
| format | Article |
| id | doaj-art-3fbc5c7b533a436cb7a979db5c90843f |
| institution | Kabale University |
| issn | 1664-8021 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj-art-3fbc5c7b533a436cb7a979db5c90843f2025-08-20T03:36:53ZengFrontiers Media S.A.Frontiers in Genetics1664-80212025-08-011610.3389/fgene.2025.16600121660012The association between diabetes and head and neck squamous cell carcinoma: evidence from clinical cohort and bioinformatics analysesYurong He0Yurong He1Jiaming Chen2Boxuan Han3Boxuan Han4Yanming Zhao5Yanming Zhao6Lizhen Hou7Lizhen Hou8Jugao Fang9Jugao Fang10Meng Lian11Meng Lian12Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, ChinaKey Laboratory of Otorhinolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing, ChinaThe 2nd Department of Head and Neck Surgery, Department of Oncoplastic Surgery, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, ChinaDepartment of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, ChinaKey Laboratory of Otorhinolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing, ChinaDepartment of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, ChinaKey Laboratory of Otorhinolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing, ChinaDepartment of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, ChinaKey Laboratory of Otorhinolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing, ChinaDepartment of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, ChinaKey Laboratory of Otorhinolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing, ChinaDepartment of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, ChinaKey Laboratory of Otorhinolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing, ChinaIntroductionDiabetes mellitus (DM) is a known risk factor for various cancers, but its relationship with head and neck squamous cell carcinoma (HNSCC) remains unclear. This study explores clinical and molecular links between DM and HNSCC through integrative analyses of patient data and bioinformatics.MethodsA retrospective cohort of 728 HNSCC patients was analyzed to assess sex-specific co-occurrence with DM. A simulation-based epidemiological model quantified associations based on observed clinical data and population incidence rates. Literature-based data mining was used to extract gene–disease associations for DM and HNSCC, followed by functional enrichment, pathway and network analyses of overlapping genes.ResultsThe simulation revealed a significant association between DM and HNSCC, stronger in males (Odds Ratio [OR] = 3.03, p = 6.28 × 10−50) than in females (OR = 2.18, p = 8.7 × 10−12). Data mining uncovered 3,489 overlapping genes (OR = 6.73, p < 4.95 × 10−319), including nine key genes (GPX4, NLRP3, CASP3, HOTAIR, SRC, IGF2BP2, APP, CYP2C19, and PVT1) tightly interconnected and functionally enriched in inflammation, metabolism, and neurological signaling pathways. Four genes—CYP2C19, NLRP3, PVT1, and APP—appear central to DM’s influence on HNSCC via the protein–protein interaction (PPI) network.ConclusionThese findings reveal a significant clinical and molecular connection between DM and HNSCC, especially in males, and highlight potential targets for future prevention and treatment strategies.https://www.frontiersin.org/articles/10.3389/fgene.2025.1660012/fulldiabetes mellitushead and neck squamous cell carcinomacomorbiditygene overlapbioinformaticsco-occurrence modeling |
| spellingShingle | Yurong He Yurong He Jiaming Chen Boxuan Han Boxuan Han Yanming Zhao Yanming Zhao Lizhen Hou Lizhen Hou Jugao Fang Jugao Fang Meng Lian Meng Lian The association between diabetes and head and neck squamous cell carcinoma: evidence from clinical cohort and bioinformatics analyses Frontiers in Genetics diabetes mellitus head and neck squamous cell carcinoma comorbidity gene overlap bioinformatics co-occurrence modeling |
| title | The association between diabetes and head and neck squamous cell carcinoma: evidence from clinical cohort and bioinformatics analyses |
| title_full | The association between diabetes and head and neck squamous cell carcinoma: evidence from clinical cohort and bioinformatics analyses |
| title_fullStr | The association between diabetes and head and neck squamous cell carcinoma: evidence from clinical cohort and bioinformatics analyses |
| title_full_unstemmed | The association between diabetes and head and neck squamous cell carcinoma: evidence from clinical cohort and bioinformatics analyses |
| title_short | The association between diabetes and head and neck squamous cell carcinoma: evidence from clinical cohort and bioinformatics analyses |
| title_sort | association between diabetes and head and neck squamous cell carcinoma evidence from clinical cohort and bioinformatics analyses |
| topic | diabetes mellitus head and neck squamous cell carcinoma comorbidity gene overlap bioinformatics co-occurrence modeling |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2025.1660012/full |
| work_keys_str_mv | AT yuronghe theassociationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT yuronghe theassociationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT jiamingchen theassociationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT boxuanhan theassociationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT boxuanhan theassociationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT yanmingzhao theassociationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT yanmingzhao theassociationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT lizhenhou theassociationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT lizhenhou theassociationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT jugaofang theassociationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT jugaofang theassociationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT menglian theassociationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT menglian theassociationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT yuronghe associationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT yuronghe associationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT jiamingchen associationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT boxuanhan associationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT boxuanhan associationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT yanmingzhao associationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT yanmingzhao associationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT lizhenhou associationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT lizhenhou associationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT jugaofang associationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT jugaofang associationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT menglian associationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses AT menglian associationbetweendiabetesandheadandnecksquamouscellcarcinomaevidencefromclinicalcohortandbioinformaticsanalyses |