Proposal for reclassification of N staging system in penile cancer patients, based on number of positive lymph nodes

Cancer Sci. 2018 Mar;109(3):764-770. doi: 10.1111/cas.13484. Epub 2018 Feb 5.

Abstract

In the present study, we aim to compare the rationality of proposed N classification based on the number of metastatic lymph nodes (LNs) with the current one. A total of 509 penile cancer patients at our institute were analyzed. Univariable and multivariable statistical analyses were used to assess cancer-specific survival (CSS) in 2 staging systems. Harrell's concordance index was applied to evaluate predictive accuracy of the current and proposed N classification in predicting CSS. We propose a new classification: pN1 (metastasis in 1-2 regional LNs), pN2 (metastasis in 3 regional LNs, or 3 or fewer regional lymph nodes with extranodal extension), and pN3 (metastasis in 4 or more regional LNs). According to the current and proposed N classification, the 5-year CSS of penile cancer patients with pN1, pN2 and pN3 was 85.8%, 39.0%, and 19.7%; and with pN1, pN2 and pN3 was 79.8%, 39.3% and 15.3%, which almost all showed significant difference (P < .001, P = .259) (P < .001, P < .001). Multivariable predictive accuracy of the proposed and current N staging was 76.48% and 70.92% (5.56% gain; P < .001). With a multivariable model of clinical features, both current (hazard ratio [HR], 7.761, 10.612; P < .001, P < .001) and proposed N stages (HR, 3.792, 3.971; P < .001, P < .001) exhibited independent effects on survival. The proposed N classification is superior to the current one, which is simpler and provides more accurate prognosis.

Keywords: lymph node; neoplasm metastasis; neoplasm staging; penile neoplasm; penis.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Humans
  • Lymph Nodes / pathology*
  • Lymphatic Metastasis
  • Male
  • Middle Aged
  • Neoplasm Staging
  • Penile Neoplasms / classification*
  • Penile Neoplasms / pathology*
  • Predictive Value of Tests
  • Prognosis
  • Proportional Hazards Models