PURPOSE: The American Joint Committee on Cancer (AJCC) recently proposed major revisions of the tumor-node-metastases (TNM) categories and stage groupings for cutaneous melanoma. Thirteen cancer centers and cancer cooperative groups contributed staging and survival data from a total of 30,450 melanoma patients from their databases in order to validate this staging proposal. PATIENTS AND METHODS: There were 17,600 melanoma patients with complete clinical, pathologic, and follow-up information. Factors predicting melanoma-specific survival rates were analyzed using the Cox proportional hazards regression model. Follow-up survival data for 5 years or longer were available for 73% of the patients. RESULTS: This analysis demonstrated that (1) in the T category, tumor thickness and ulceration were the most powerful predictors of survival, and the level of invasion had a significant impact only within the subgroup of thin (< or = 1 mm) melanomas; (2) in the N category, the following three independent factors were identified: the number of metastatic nodes, whether nodal metastases were clinically occult or clinically apparent, and the presence or absence of primary tumor ulceration; and (3) in the M category, nonvisceral metastases was associated with a better survival compared with visceral metastases. A marked diversity in the natural history of pathologic stage III melanoma was demonstrated by five-fold differences in 5-year survival rates for defined subgroups. This analysis also demonstrated that large and complex data sets could be used effectively to examine prognosis and survival outcome in melanoma patients. CONCLUSION: The results of this evidence-based methodology were incorporated into the AJCC melanoma staging as described in the companion publication.
PURPOSE: The American Joint Committee on Cancer (AJCC) recently proposed major revisions of the tumor-node-metastases (TNM) categories and stage groupings for cutaneous melanoma. Thirteen cancer centers and cancer cooperative groups contributed staging and survival data from a total of 30,450 melanomapatients from their databases in order to validate this staging proposal. PATIENTS AND METHODS: There were 17,600 melanomapatients with complete clinical, pathologic, and follow-up information. Factors predicting melanoma-specific survival rates were analyzed using the Cox proportional hazards regression model. Follow-up survival data for 5 years or longer were available for 73% of the patients. RESULTS: This analysis demonstrated that (1) in the T category, tumor thickness and ulceration were the most powerful predictors of survival, and the level of invasion had a significant impact only within the subgroup of thin (< or = 1 mm) melanomas; (2) in the N category, the following three independent factors were identified: the number of metastatic nodes, whether nodal metastases were clinically occult or clinically apparent, and the presence or absence of primary tumor ulceration; and (3) in the M category, nonvisceral metastases was associated with a better survival compared with visceral metastases. A marked diversity in the natural history of pathologic stage III melanoma was demonstrated by five-fold differences in 5-year survival rates for defined subgroups. This analysis also demonstrated that large and complex data sets could be used effectively to examine prognosis and survival outcome in melanomapatients. CONCLUSION: The results of this evidence-based methodology were incorporated into the AJCC melanoma staging as described in the companion publication.
Authors: John F Thompson; Seng-Jaw Soong; Charles M Balch; Jeffrey E Gershenwald; Shouluan Ding; Daniel G Coit; Keith T Flaherty; Phyllis A Gimotty; Timothy Johnson; Marcella M Johnson; Stanley P Leong; Merrick I Ross; David R Byrd; Natale Cascinelli; Alistair J Cochran; Alexander M Eggermont; Kelly M McMasters; Martin C Mihm; Donald L Morton; Vernon K Sondak Journal: J Clin Oncol Date: 2011-04-25 Impact factor: 44.544
Authors: Charles R Scoggins; Merrick I Ross; Douglas S Reintgen; R Dirk Noyes; James S Goydos; Peter D Beitsch; Marshall M Urist; Stephan Ariyan; Jeffrey J Sussman; Michael J Edwards; Anees B Chagpar; Robert C G Martin; Arnold J Stromberg; Lee Hagendoorn; Kelly M McMasters Journal: Ann Surg Date: 2006-05 Impact factor: 12.969
Authors: Edward L Jones; Teresa S Jones; Nathan W Pearlman; Dexiang Gao; Robert Stovall; Csaba Gajdos; Nicole Kounalakis; Rene Gonzalez; Karl D Lewis; William A Robinson; Martin D McCarter Journal: JAMA Surg Date: 2013-05 Impact factor: 14.766
Authors: Dirk J Grünhagen; Flavia Brunstein; Wilfried J Graveland; Albertus N van Geel; Johannes H W de Wilt; Alexander M M Eggermont Journal: Ann Surg Date: 2004-12 Impact factor: 12.969