Prognostic Implication of Metabolic Syndrome in Patients with Nasopharyngeal Carcinoma: A Large Institution-Based Cohort Study from an Endemic Area
Shengyan Huang,1,* Xirong Tan,1,* Ping Feng,1,2,* Sha Gong,1 Qingmei He,1 Xunhua Zhu,1 Na Liu,1 Yingqing Li1 1State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis an...
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Dove Medical Press
2021-12-01
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| Series: | Cancer Management and Research |
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| Online Access: | https://www.dovepress.com/prognostic-implication-of-metabolic-syndrome-in-patients-with-nasophar-peer-reviewed-fulltext-article-CMAR |
| _version_ | 1819096042364207104 |
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| author | Huang S Tan X Feng P Gong S He Q Zhu X Liu N Li Y |
| author_facet | Huang S Tan X Feng P Gong S He Q Zhu X Liu N Li Y |
| author_sort | Huang S |
| collection | DOAJ |
| description | Shengyan Huang,1,* Xirong Tan,1,* Ping Feng,1,2,* Sha Gong,1 Qingmei He,1 Xunhua Zhu,1 Na Liu,1 Yingqing Li1 1State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy; Sun Yat-sen University Cancer Center, Guangzhou, 510060, People’s Republic of China; 2The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, 421001, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yingqing Li; Na Liu Tel +86-20-87343255; +86-20-87342370Fax +86-20-87342370Email liyingq1@sysucc.org.cn; liun1@sysucc.org.cnObjective: Metabolic syndrome has been identified as a prognostic predictor in multiple cancers. This study aimed to evaluate the impact of metabolic syndrome on the clinical outcome of patients with nasopharyngeal carcinoma (NPC) and its mechanism.Methods: A cohort of 2003 NPC patients with a median follow-up time of 96.3 months (range: 4.1– 120.0 months) were enrolled in this analysis. Kaplan–Meier curves and the Log rank test were used to determine the differences in progression-free survival (PFS), cancer specific survival (CSS) and overall survival (OS). Univariate and multivariable analyses were used to identify independent prognostic predictors. Untargeted metabolomics (LC-HRMS) was used to detect the serum metabolic profiles of 10 well-matched patients with or without metabolic syndrome. Differential metabolite-based enrichment analysis and pathway analysis were performed to identify the potential mechanism of metabolic syndrome in NPC.Results: A total of 171/2003 (8.5%) patients were diagnosed with metabolic syndrome, and these patients tended to be male (P < 0.001) and older (P = 0.003). Patients with metabolic syndrome had poorer PFS (P = 0.011), CSS (P = 0.003) and OS (P = 0.001) than those without metabolic syndrome. Univariate and multivariable analyses showed that metabolic syndrome was a statistically significant and independent predictor for PFS (HR: 1.34, 95% CI: 1.03– 1.75, P = 0.032), CSS (HR: 1.53, 95% CI: 1.12– 2.08, P = 0.008), and OS (HR: 1.50, 95% CI: 1.13– 2.00, P = 0.006). The serum metabolic profile of patients with metabolic syndrome was distinct from that of patients without metabolic syndrome. A total of 319 differential metabolites [log2(FC)> 1 or log2 (FC) |
| first_indexed | 2024-12-21T23:52:54Z |
| format | Article |
| id | doaj.art-0b5122f2b5fd4a639725d9dee5ec1f93 |
| institution | Directory Open Access Journal |
| issn | 1179-1322 |
| language | English |
| last_indexed | 2024-12-21T23:52:54Z |
| publishDate | 2021-12-01 |
| publisher | Dove Medical Press |
| record_format | Article |
| series | Cancer Management and Research |
| spelling | doaj.art-0b5122f2b5fd4a639725d9dee5ec1f932022-12-21T18:45:52ZengDove Medical PressCancer Management and Research1179-13222021-12-01Volume 139355936671777Prognostic Implication of Metabolic Syndrome in Patients with Nasopharyngeal Carcinoma: A Large Institution-Based Cohort Study from an Endemic AreaHuang STan XFeng PGong SHe QZhu XLiu NLi YShengyan Huang,1,* Xirong Tan,1,* Ping Feng,1,2,* Sha Gong,1 Qingmei He,1 Xunhua Zhu,1 Na Liu,1 Yingqing Li1 1State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy; Sun Yat-sen University Cancer Center, Guangzhou, 510060, People’s Republic of China; 2The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, 421001, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yingqing Li; Na Liu Tel +86-20-87343255; +86-20-87342370Fax +86-20-87342370Email liyingq1@sysucc.org.cn; liun1@sysucc.org.cnObjective: Metabolic syndrome has been identified as a prognostic predictor in multiple cancers. This study aimed to evaluate the impact of metabolic syndrome on the clinical outcome of patients with nasopharyngeal carcinoma (NPC) and its mechanism.Methods: A cohort of 2003 NPC patients with a median follow-up time of 96.3 months (range: 4.1– 120.0 months) were enrolled in this analysis. Kaplan–Meier curves and the Log rank test were used to determine the differences in progression-free survival (PFS), cancer specific survival (CSS) and overall survival (OS). Univariate and multivariable analyses were used to identify independent prognostic predictors. Untargeted metabolomics (LC-HRMS) was used to detect the serum metabolic profiles of 10 well-matched patients with or without metabolic syndrome. Differential metabolite-based enrichment analysis and pathway analysis were performed to identify the potential mechanism of metabolic syndrome in NPC.Results: A total of 171/2003 (8.5%) patients were diagnosed with metabolic syndrome, and these patients tended to be male (P < 0.001) and older (P = 0.003). Patients with metabolic syndrome had poorer PFS (P = 0.011), CSS (P = 0.003) and OS (P = 0.001) than those without metabolic syndrome. Univariate and multivariable analyses showed that metabolic syndrome was a statistically significant and independent predictor for PFS (HR: 1.34, 95% CI: 1.03– 1.75, P = 0.032), CSS (HR: 1.53, 95% CI: 1.12– 2.08, P = 0.008), and OS (HR: 1.50, 95% CI: 1.13– 2.00, P = 0.006). The serum metabolic profile of patients with metabolic syndrome was distinct from that of patients without metabolic syndrome. A total of 319 differential metabolites [log2(FC)> 1 or log2 (FC)https://www.dovepress.com/prognostic-implication-of-metabolic-syndrome-in-patients-with-nasophar-peer-reviewed-fulltext-article-CMARnasopharyngeal carcinomametabolic syndromemetaboliteprognosissurvival |
| spellingShingle | Huang S Tan X Feng P Gong S He Q Zhu X Liu N Li Y Prognostic Implication of Metabolic Syndrome in Patients with Nasopharyngeal Carcinoma: A Large Institution-Based Cohort Study from an Endemic Area Cancer Management and Research nasopharyngeal carcinoma metabolic syndrome metabolite prognosis survival |
| title | Prognostic Implication of Metabolic Syndrome in Patients with Nasopharyngeal Carcinoma: A Large Institution-Based Cohort Study from an Endemic Area |
| title_full | Prognostic Implication of Metabolic Syndrome in Patients with Nasopharyngeal Carcinoma: A Large Institution-Based Cohort Study from an Endemic Area |
| title_fullStr | Prognostic Implication of Metabolic Syndrome in Patients with Nasopharyngeal Carcinoma: A Large Institution-Based Cohort Study from an Endemic Area |
| title_full_unstemmed | Prognostic Implication of Metabolic Syndrome in Patients with Nasopharyngeal Carcinoma: A Large Institution-Based Cohort Study from an Endemic Area |
| title_short | Prognostic Implication of Metabolic Syndrome in Patients with Nasopharyngeal Carcinoma: A Large Institution-Based Cohort Study from an Endemic Area |
| title_sort | prognostic implication of metabolic syndrome in patients with nasopharyngeal carcinoma a large institution based cohort study from an endemic area |
| topic | nasopharyngeal carcinoma metabolic syndrome metabolite prognosis survival |
| url | https://www.dovepress.com/prognostic-implication-of-metabolic-syndrome-in-patients-with-nasophar-peer-reviewed-fulltext-article-CMAR |
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