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基于组织病理学参数和多变量分析的口腔早期鳞状细胞癌新结局预测模型的开发:阿迪蒂-努扎特淋巴结预测评分(ANLPS)系统

Development of a New Outcome Prediction Model in Early-stage Squamous Cell Carcinoma of the Oral Cavity Based on Histopathologic Parameters With Multivariate Analysis: The Aditi-Nuzhat Lymph-node Prediction Score (ANLPS) System.

作者信息

Arora Aditi, Husain Nuzhat, Bansal Ankur, Neyaz Azfar, Jaiswal Ritika, Jain Kavitha, Chaturvedi Arun, Anand Nidhi, Malhotra Kiranpreet, Shukla Saumya

机构信息

*Department of Pathology, Dr. Ram Manohar Lohia Institute of Medical Sciences †Sanjay Gandhi Post Graduate Post Institute Medical Sciences ‡Department of Surgical Oncology, King George Medical University, Lucknow, Uttar Pradesh, India.

出版信息

Am J Surg Pathol. 2017 Jul;41(7):950-960. doi: 10.1097/PAS.0000000000000843.

DOI:10.1097/PAS.0000000000000843
PMID:28346327
Abstract

The aim of this study was to evaluate the histopathologic parameters that predict lymph node metastasis in patients with oral squamous cell carcinoma (OSCC) and to design a new assessment score on the basis of these parameters that could ultimately allow for changes in treatment decisions or aid clinicians in deciding whether there is a need for close follow-up or to perform early lymph node dissection. Histopathologic parameters of 336 cases of OSCC with stage cT1/T2 N0M0 disease were analyzed. The location of the tumor and the type of surgery used for the management of the tumor were recorded for all patients. The parameters, including T stage, grading of tumor, tumor budding, tumor thickness, depth of invasion, shape of tumor nest, lymphoid response at tumor-host interface and pattern of invasion, eosinophilic reaction, foreign-body giant cell reaction, lymphovascular invasion, and perineural invasion, were examined. Ninety-two patients had metastasis in lymph nodes. On univariate and multivariate analysis, independent variables for predicting lymph node metastasis in descending order were depth of invasion (P=0.003), pattern of invasion (P=0.007), perineural invasion (P=0.014), grade (P=0.028), lymphovascular invasion (P=0.038), lymphoid response (P=0.037), and tumor budding (P=0.039). We designed a scoring system on the basis of these statistical results and tested it. Cases with scores ranging from 7 to 11, 12 to 16, and ≥17 points showed LN metastasis in 6.4%, 22.8%, and 77.1% of cases, respectively. The difference between these 3 groups in relation to nodal metastasis was very significant (P<0.0001). A patient at low risk for lymph node metastasis (score, 7 to 11) had a 5-year survival of 93%, moderate-risk patients (score, 12 to 16) had a 5-year survival of 67%, and high-risk patients (score, 17 to 21) had a 5-year survival of 39%. The risk of lymph node metastasis in OSCC is influenced by many histologic parameters that are not routinely analyzed in pathologic reports. These significant independent factors were graded to design a scoring system that permits accurate evaluation of the risk of metastasis with accuracy independent of the traditional TNM system or isolated histologic parameters. The need for neck node dissection can be predicted depending upon the scores obtained.

摘要

本研究旨在评估预测口腔鳞状细胞癌(OSCC)患者淋巴结转移的组织病理学参数,并基于这些参数设计一种新的评估评分系统,最终实现治疗决策的改变,或帮助临床医生决定是否需要密切随访或进行早期淋巴结清扫。分析了336例cT1/T2 N0M0期OSCC的组织病理学参数。记录了所有患者肿瘤的位置及用于治疗肿瘤的手术类型。检查了包括T分期、肿瘤分级、肿瘤芽生、肿瘤厚度、浸润深度、肿瘤巢形状、肿瘤-宿主界面的淋巴反应及浸润模式、嗜酸性反应、异物巨细胞反应、淋巴管浸润和神经周围浸润等参数。92例患者发生了淋巴结转移。单因素和多因素分析显示,预测淋巴结转移的独立变量按降序排列为浸润深度(P=0.003)、浸润模式(P=0.007)、神经周围浸润(P=0.014)、分级(P=0.028)、淋巴管浸润(P=0.038)、淋巴反应(P=0.037)和肿瘤芽生(P=0.039)。我们基于这些统计结果设计了一个评分系统并进行了测试。得分在7至11分、12至16分和≥17分的病例中,分别有6.4%、22.8%和77.1%发生了淋巴结转移。这三组在淋巴结转移方面的差异非常显著(P<0.0001)。淋巴结转移低风险患者(得分7至11分)的5年生存率为93%,中度风险患者(得分12至16分)的5年生存率为67%,高风险患者(得分17至21分)的5年生存率为39%。OSCC中淋巴结转移的风险受许多组织学参数影响,这些参数在病理报告中并非常规分析。对这些重要的独立因素进行分级以设计一个评分系统,该系统能够独立于传统的TNM系统或单个组织学参数准确评估转移风险。可根据获得的评分预测是否需要进行颈部淋巴结清扫。

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