Suppr超能文献

逻辑回归预测模型将 2 型糖尿病确定为人乳头瘤病毒-16 相关头颈部鳞状细胞癌的预后因素。

Logistic regression prediction model identify type 2 diabetes mellitus as a prognostic factor for human papillomavirus-16 associated head and neck squamous cell carcinoma.

机构信息

Academic Unit of Oral and Maxillofacial Surgery, UCL Eastman Dental Institute, London, United Kingdom.

Sharjah Institute of Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.

出版信息

PLoS One. 2019 May 16;14(5):e0217000. doi: 10.1371/journal.pone.0217000. eCollection 2019.

Abstract

BACKGROUND

HPV-16-positive HNSCC and HPV-16-negative HNSCC have different clinical factors, representing distinct forms of cancers. The study aimed to identify patient-specific factors for HPV-16-positive HNSCC based on baseline clinical data.

METHOD

Factors associated with HPV-16-positive HNSCC were identified using the data from 210 patients diagnosed with HNSCC at University College of London Hospital between January 1, 2003, and April 30, 2015, inclusive. A series of models were developed using logistic regression methods, and the overall model fit was compared using Akaike Information Criterion. Survival analysis was carried with Cox proportional hazards model for survival-time outcomes. The survival time for individual patients was defined as the time from diagnosis of HNSCC to the date of death from any cause. For patients who did not die, they were censored at the end of study on April 30, 2015.

RESULTS

Of the 210 patients, 151 (72%) were found to have HPV-16-positive HNSCC. The logistic regression model showed that the prevalence of developing HPV-16-positive HNSCC was 3.79 times higher in patients with Type 2 Diabetes Mellitus (T2DM) (odd ratio [OR], 3.79; 95% CI, 1.70-8.44) than in those without T2DM, and 8.84 times higher in patients with history of primary HNSCC (OR, 8.84; 95% CI, 2.30-33.88) than in those without a history of primary HNSCC. HPV-16-positive HNSCC was also observed more in tonsils (OR, 4.02; 95% CL, 1.56-10.36) and less in non-alcohol drinker's oral cavity (OR, 0.14; 95% CI, 0.03-0.56). Furthermore, individual patients were followed-up for 1 to 13 years (median of 1 year). Patients with HPV-positive HNSCC had a median survival of 5 years (95% CI, 2.6-7.3 years). Among HPV-16-positive HNSCC cohort, T2DM was a risk for poorer prognosis (hazard ratio, 2.57; 95% Cl, 1.09-6.07), and had lower median survival of 3 years (95% CI, 1.8-4.1 years), as compared to 6 years (95% CI, 2.8-9.1 years) in non-T2DM.

CONCLUSIONS

Patient-specific factors for HPV-positive HNSCC are T2DM, history of primary HNSCC and tonsillar site. T2DM is associated with poorer prognosis. These findings suggest that it might be beneficial if routine HPV-16 screening is carried out in T2DM patients which can provide better therapeutic and management strategies.

摘要

背景

HPV-16 阳性的头颈部鳞状细胞癌(HNSCC)和 HPV-16 阴性的 HNSCC 具有不同的临床因素,代表着两种不同形式的癌症。本研究旨在基于基线临床数据,确定 HPV-16 阳性 HNSCC 的患者特异性因素。

方法

纳入 2003 年 1 月 1 日至 2015 年 4 月 30 日期间在伦敦大学学院医院诊断为 HNSCC 的 210 例患者的数据,使用逻辑回归方法确定与 HPV-16 阳性 HNSCC 相关的因素。使用赤池信息量准则(Akaike Information Criterion)比较整体模型拟合度。使用 Cox 比例风险模型进行生存分析,用于生存时间结局。每位患者的生存时间定义为从 HNSCC 诊断到任何原因死亡的时间。对于未死亡的患者,在 2015 年 4 月 30 日研究结束时截尾。

结果

在 210 例患者中,151 例(72%)被发现患有 HPV-16 阳性 HNSCC。逻辑回归模型显示,患有 2 型糖尿病(T2DM)的患者发生 HPV-16 阳性 HNSCC 的患病率比无 T2DM 的患者高 3.79 倍(比值比 [OR],3.79;95%置信区间 [CI],1.70-8.44),而有原发性 HNSCC 病史的患者比无原发性 HNSCC 病史的患者高 8.84 倍(OR,8.84;95%CI,2.30-33.88)。HPV-16 阳性 HNSCC 在扁桃体中的检出率也更高(OR,4.02;95%CL,1.56-10.36),而非酒精性口腔的检出率更低(OR,0.14;95%CI,0.03-0.56)。此外,对个别患者进行了 1 至 13 年的随访(中位随访时间为 1 年)。HPV 阳性 HNSCC 患者的中位生存时间为 5 年(95%CI,2.6-7.3 年)。在 HPV-16 阳性 HNSCC 队列中,与非 T2DM 患者相比,T2DM 是预后不良的危险因素(风险比,2.57;95%Cl,1.09-6.07),中位生存时间为 3 年(95%CI,1.8-4.1 年),而非 6 年(95%CI,2.8-9.1 年)。

结论

HPV 阳性 HNSCC 的患者特异性因素包括 T2DM、原发性 HNSCC 病史和扁桃体部位。T2DM 与预后不良相关。这些发现表明,如果对 T2DM 患者进行常规 HPV-16 筛查,可能会带来更好的治疗和管理策略,这是有益的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a84b/6522118/5ec3e4714ab1/pone.0217000.g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验