Chen Xiaopeng, Li Xuesong, Garcia Maurice M, Gong Kan, Song Yi, He Zhisong, Zhou Liqun
Department of Urology, Peking University First Hospital, Institute of Urology, Peking University, National Urological Cancer Center, Beijing, China.
J Androl. 2012 Nov-Dec;33(6):1276-81. doi: 10.2164/jandrol.112.016378. Epub 2012 Jun 28.
The incidence of penile cancer varies by ethnicity and is not well described among Chinese patients. We performed a retrospective study to assess the prognostic factors in Chinese patients with penile invasive squamous cell carcinoma (SCC). We reviewed the medical records of 83 consecutive patients treated at the National Urological Cancer Center (Beijing, China). The Kaplan-Meier method, log-rank test, and multivariate Cox proportional hazard model were used to identify the prognostic factors predicting for cancer-specific survival (CSS). Univariate and multivariate logistic regression analysis were used to analyze the predictive factors for lymph node metastasis (LNM). A total of 55 patients were followed. Twelve patients (20%) died from the disease during follow-up. By univariate analysis, older age (≥ 49 years; P = .048), radical resection (compared with local/partial resection; P = .040), high histological grade (P = .037), and LNM (P < .001) were each associated with poor prognosis. By multivariate analysis, chronological age (P = .011) and LNM (P = .002) were independent prognostic factors. High histological grade (P = .003) was an independent predictive factor for LNM. In our series, chronological age and LNM were independent prognostic factors for CSS. The histological grade, not the tumor stage, was still an influential predictive factor of LNM in Chinese patients with penile SCC.
阴茎癌的发病率因种族而异，在中国患者中尚无详尽描述。我们开展了一项回顾性研究，以评估中国阴茎浸润性鳞状细胞癌（SCC）患者的预后因素。我们回顾了在中国国家泌尿生殖肿瘤中心（北京）接受治疗的83例连续患者的病历。采用Kaplan-Meier法、对数秩检验和多变量Cox比例风险模型来确定预测癌症特异性生存（CSS）的预后因素。采用单变量和多变量逻辑回归分析来分析淋巴结转移（LNM）的预测因素。共有55例患者接受随访。12例患者（20%）在随访期间死于该疾病。单变量分析显示，年龄较大（≥49岁；P = 0.048）、根治性切除术（与局部/部分切除术相比；P = 0.040）、高组织学分级（P = 0.037）和LNM（P < 0.001）均与预后不良相关。多变量分析显示，实际年龄（P = 0.011）和LNM（P = 0.002）是独立的预后因素。高组织学分级（P = 0.003）是LNM的独立预测因素。在我们的研究系列中，实际年龄和LNM是CSS的独立预后因素。在患有阴茎SCC的中国患者中，组织学分级而非肿瘤分期仍是LNM的一个有影响的预测因素。
