Abstract 222P
Background
Penile cancer is now a rare condition and the low incidence of disease makes valid estimation of its prognosis difficult. In this study, we made an attempt and propose a nomogram to develop a prognostic rule that could predict the CSM free rates in patients with primary penile squamous cell carcinoma of penis (PPSCC).
Methods
This study included 1304 patients diagnosed with PPSCC between the years 2004 & 2011 and treated with penile tumor excision. Subjects were staged as per Surveillance, Epidemiology & End Results stage (SEER), American Joint Committee on Cancer (AJCC), TNM classification and the tumor grade (TG). CSM free rates were determined. Univariate and multivariate Cox regression model was used to test prediction of the CSM free rate. p-value was adjusted as per Bonferroni corrections. The predictive rule accuracy was created using receiver operating characteristic curve.
Results
The clinic-pathological profile depicts a mean age of 64.66 ± 14.38 yrs. The most common primary site involved was glans penis (n = 483, 37%) and the disease was localized in most patients (n = 777, 59.6%). Majority (n = 719, 55.1%) underwent partial penectomy followed by local tumor excision (n = 372, 28.5%). Most common pathological T stage was T1 (56.7%, n = 740), N stage was N0 (n = 1055, 80.9%) & M stage was M0 (n = 1269, 97.3%). Most commonly diagnosed AJCC was stage I (n = 670, 51.4%). The cumulative 5-year CSM free rates according to Fine & Gray, & Kaplan-Meier methods were 81.8% and 79.8%, respectively. The predictive accuracy as per SEER stage, AJCC stage, TNM stage alone were 68.8%, 70.3%, 72.3%, respectively. When TG was combined, the predictive accuracy increased to 72.8%, 73.1%, and 75.0%, respectively. TNM stage with TG was most accurate in predicting CSM free rate compared to other models.
Conclusions
This study concludes that though TNM stage with TG, and AJCC stage with TG appear to have comparable accuracy to predict the CSM free rate in patients with PPSCC, TNM stage with TG is the most accurate (75%) method to predict the CSM free rates. Addition of TG variable definitely improved the accuracy of these prognostic models.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
397P - Development of prediction model for hepatocellular carcinoma in chronic hepatitis B patients
Presenter: Teerapat Ungtrakul
Session: Poster display session
Resources:
Abstract
398P - Planning for future cancer control programs in Uganda: Projections of top five cancers’ incidence in the next decade
Presenter: Judith Asasira
Session: Poster display session
Resources:
Abstract
399P - Prevalence of colorectal cancer risk factors in apparently healthy adults in Suluhan Village, Bali
Presenter: Cindy Trisina
Session: Poster display session
Resources:
Abstract
400P - Female lung cancer: Emerging issue in Bangladesh
Presenter: Muhammad Rafiqul Islam
Session: Poster display session
Resources:
Abstract
402P - Work-related outcomes among cancer survivors in Singapore
Presenter: Chia Jie Tan
Session: Poster display session
Resources:
Abstract
407P - Focal treatments for metastatic soft tissue sarcoma (mSTS) is associated with improved overall survival
Presenter: Ching Tso Chen
Session: Poster display session
Resources:
Abstract
408P - The Asian sarcoma consortium sarcoma preceptorship program: A program evaluation study utilizing the Kirkpatrick model (Level 1 and 2)
Presenter: Fernando Gracieux Jr.
Session: Poster display session
Resources:
Abstract
409P - Integrated genomic and transcriptomic analysis revealed mutagenic patterns of dedifferentiated liposarcoma and leiomyosarcoma in Chinese patients
Presenter: Yuhong Zhou
Session: Poster display session
Resources:
Abstract
410P - Treatment patterns and outcomes of elderly patients with metastatic soft tissue sarcomas (mSTS)
Presenter: Yu-ju Kuo
Session: Poster display session
Resources:
Abstract
411P - Comparative analysis of protein profiles of prognosis-associated proteins and KIT-related proteins in gastrointestinal stromal tumour
Presenter: Yoshiyuki Suehara
Session: Poster display session
Resources:
Abstract