Prognostic factors in Chinese patients with penile invasive squamous cell carcinoma

J Androl. 2012 Nov-Dec;33(6):1276-81. doi: 10.2164/jandrol.112.016378. Epub 2012 Jun 28.

Abstract

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.

MeSH terms

  • Adult
  • Asian People
  • Carcinoma, Squamous Cell / epidemiology
  • Carcinoma, Squamous Cell / ethnology
  • Carcinoma, Squamous Cell / pathology*
  • Carcinoma, Squamous Cell / surgery
  • China / epidemiology
  • Humans
  • Lymphatic Metastasis / pathology
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Penile Neoplasms / epidemiology
  • Penile Neoplasms / ethnology
  • Penile Neoplasms / pathology*
  • Penile Neoplasms / surgery
  • Prognosis
  • Proportional Hazards Models
  • Retrospective Studies
  • Treatment Outcome