Obesity and genes related to lipid metabolism predict poor survival in oral squamous cell carcinoma
Obesity and genes related to lipid metabolism predict poor survival in oral squamous cell carcinoma
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肥胖和与脂质代谢相关的基因预测口腔鳞状细胞癌的不良生存
DOI：
10.1016/j.oraloncology.2018.12.006
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发表时间：
2019-02-01
期刊：
影响因子：
4.8
通讯作者：
Wu, Tong
中科院分区：
文献类型：
--
作者：
Hu, Qinchao;Peng, Jianmin;Wu, Tong
目的：肥胖是几种恶性肿瘤的重要危险因素，但其对口腔鳞状细胞癌（OSCC）预后的影响存在争议。我们的目的是揭示肥胖和OSCC的结果之间的关联，并探讨潜在的一些脂质代谢相关基因作为生物标志物的预后predicter.Materials和方法：共576例患者诊断为T1/2N 0 M0 OSCC没有诊断前体重减轻被列入这项回顾性研究。根据体重指数（BMI）对这些患者进行分组。采用单因素和多因素分析比较两组患者的无进展生存期（PFS）和疾病特异性生存期（DSS）。采用倾向评分匹配（PSM）以减少混杂因素。结果：肥胖组的PFS（P = 0.023）和DSS（P = 0.047）均低于正常体重组，肥胖组的PFS（P = 0.023）和DSS（P = 0.047）均低于正常体重组，肥胖组的PFS（P = 0.023）和DSS（P = 0.047）均低于正常体重组。肥胖是PFS（风险比= 2.016，95%置信区间1.101-3.693，P = 0.023）和DSS（风险比= 2.022，95%置信区间1.040-3.932，P = 0.038）的独立风险因素。此外，PSM匹配队列分析显示，肥胖与口腔鳞癌患者的预后不良相关。结论：肥胖是T1/2N 0 M0期口腔鳞癌的独立危险因素，TGFB 1、SPP 1和SERPINE 1的联合标记可用于预测口腔鳞癌患者的预后。
Objectives: Obesity is an important risk factor for several malignancies, but its effect on oral squamous cell carcinoma (OSCC) prognosis is controversial. We aimed to disclose the association between obesity and the OSCC outcome, and explore the potential of some lipid metabolism-related genes as biomarkers for prognostic prediction.Materials and methods: A total of 576 patients diagnosed as T1/2N0M0 OSCC without prediagnosis weight loss was included in this retrospective study. These patients were grouped according to body mass index (BMI). The univariate and multivariate analysis were used to compare the progression-free survival (PFS) and disease specific survival (DSS) between groups. Propensity score matching (PSM) was adopted to minimize confounders. Data from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) were employed to analyze the potential of some lipid metabolism-related genes for OSCC prognosis prediction.Results: The PFS (P = 0.023) and DSS (P = 0.047) were poorer in obese patients than in normal weight ones. Obesity was an independent risk factor for PFS (Hazard Ratio = 2.016, 95% Confidence Interval 1.101-3.693, P = 0.023) and DSS (Hazard Ratio = 2.022, 95% Confidence Interval 1.040-3.932, P = 0.038). Furthermore, the PSM matched cohort analysis revealed that obesity was associated with poor prognosis of OSCC patients. Finally, 72 dysregulated lipid metabolism-related genes were identified in OSCC, and a combining signature of TGFB1, SPP1, and SERPINE1 was defined as a biomarker for prognostic prediction.Conclusions: Obesity is an independent risk factor for T1/2N0M0 OSCC, and a combining signature of TGFB1, SPP1, and SERPINE1 may be applied to predict prognosis of OSCC patients.