Survival analysis of penile cancer patients treatedat a tertiary oncology hospital

Abstract

This article aims to estimate the specific survival of patients with penile cancer treated at a state tertiary oncology hospital. The study included 100 cases incidents patients with penile cancer treated at a cancer center, from 2000 to 2011, follow-up to December 31, 2012. The hospital-based cancer registry and medical records were used as data sources. We used the Kaplan-Meier method to estimate survival and the Cox model was used to assess prognostic factors. All had histology for penile cancer as a basis for diagnosis. For location of the 75% tumor were not specified, followed by 18% located in the glans, 04% in the foreskin. The median survival time was 49 months, 89% presented themselves between stages I and II. Patients with rural occupations had a mean survival time of 75.02 months, patients with non-rural occupations 42.14 months; Patients residing in metropolitan area - Espírito Santo had a mean survival time of 26.03 months, other patients 71.42 months; In patients with compromised lymph nodes, the mean survival time was 30.59 months, and in patients with no compromised lymph nodes, the mean survival time was 75.83 months. This study demonstrates reduced survival in non-rural workers who reside in metropolitan area and who present with compromised lymph nodes and metastasis.

HPV infection and 5mC/5hmC epigenetic markers in penile squamous cell carcinoma: new insights into prognostics

“…The majority of cases occur in regions with a low human development index, where India (10,677), China (4,628) and Brazil (1,698) are the most affected countries [1]. Despite the low incidence compared to other types of male malignancies, penile cancer has a poor prognosis and is associated with high mortality [2] and morbidity [3]. Therapeutic strategies are very limited and, therefore, the main related therapy is partial or total penectomy, which directly affects the emotional and social life of patients.…”

Competing‐risks model for predicting the prognosis of penile cancer based on the SEER database

“…[7][8][9] Although there have been some reports of risk factors associated with penile cancer survival, most of them were based on Cox proportional-hazards regression models and Kaplan-Meier estimates. 10,11 Performing a follow-up or making observations of a two-state model from a start event to an event of interest is a common design and analysis strategy, and Kaplan-Meier estimates, log-rank tests, and Cox regression are widely used for such single events of interest. However, those statistical analyses involve only one type of event.…”