BACKGROUND: The aim of this study was to evaluate the prognostic significance of clinical-pathologic variables in melanoma of the vulva. METHODS: From 1979 through 1995, 40 women with a diagnosis of vulvar melanoma underwent radical surgery. Patient age, tumor size and site, histologic type, ulceration, tumor thickness, lymph node status, and number of positive lymph nodes were assessed for prognostic significance by multivariate analysis. RESULTS: Tumor thickness was a significant predictor of lymph node involvement, but not of survival. The most powerful predictors of survival by multivariate analysis were the lymph node status (P = .002) and the number of positive lymph nodes (P = .00003). CONCLUSIONS: The number of positive lymph nodes represents the strongest prognostic factor in melanoma of the vulva. Because of the lack of effective adjuvant therapies, such prognostic indicators might be used to define the timing and extent of the surgical approach.
BACKGROUND: The aim of this study was to evaluate the prognostic significance of clinical-pathologic variables in melanoma of the vulva. METHODS: From 1979 through 1995, 40 women with a diagnosis of vulvar melanoma underwent radical surgery. Patient age, tumor size and site, histologic type, ulceration, tumor thickness, lymph node status, and number of positive lymph nodes were assessed for prognostic significance by multivariate analysis. RESULTS:Tumor thickness was a significant predictor of lymph node involvement, but not of survival. The most powerful predictors of survival by multivariate analysis were the lymph node status (P = .002) and the number of positive lymph nodes (P = .00003). CONCLUSIONS: The number of positive lymph nodes represents the strongest prognostic factor in melanoma of the vulva. Because of the lack of effective adjuvant therapies, such prognostic indicators might be used to define the timing and extent of the surgical approach.
Authors: Mitul B Modi; Phyllis A Gimotty; Michael E Ming; Neha Jariwala; Rosalie Elenitsas; Chris Miller; Emily Y Chu; Hanna Lindner; Ata S Moshiri; Lauren E Schwartz; Priti Lal; Maria C Reyes; David E Elder; Xiaowei Xu Journal: Hum Pathol Date: 2020-07-20 Impact factor: 3.466
Authors: Ozlen Saglam; Syeda M H Naqvi; Yonghong Zhang; Tania Mesa; Jamie K Teer; Sean Yoder; Jae Lee; Jane Messina Journal: Melanoma Res Date: 2018-12 Impact factor: 3.599
Authors: Susan L Boone; Jerod Stapleton; Rob Turrisi; Sara Ortiz; June K Robinson; Kimberly A Mallett Journal: Australas J Dermatol Date: 2009-08 Impact factor: 2.875
Authors: Giuseppe Trifirò; Laura L Travaini; Francesca Sanvito; Monica Pacifici; Andrew Mallia; Mahila E Ferrari; Andrea Vertua; Angelo Maggioni; Giovanni Paganelli; Mario G Sideri Journal: Eur J Nucl Med Mol Imaging Date: 2010-01-27 Impact factor: 9.236
Authors: Viola A Heinzelmann-Schwarz; Sheri Nixdorf; Mehrnaz Valadan; Monica Diczbalis; Jake Olivier; Geoff Otton; André Fedier; Neville F Hacker; James P Scurry Journal: Int J Mol Med Date: 2014-02-14 Impact factor: 4.101