Literature DB >> 22342785

A novel and accurate computer model of melanoma prognosis for patients staged by sentinel lymph node biopsy: comparison with the American Joint Committee on Cancer model.

Glenda G Callender1, Jeffrey E Gershenwald, Michael E Egger, Charles R Scoggins, Robert C G Martin, Christopher W Schacherer, Michael J Edwards, Marshall M Urist, Merrick I Ross, Arnold J Stromberg, Kelly M McMasters.   

Abstract

BACKGROUND: We found that a computer model developed by the American Joint Committee on Cancer (AJCC) melanoma staging committee had limitations for predicting prognosis of patients staged by sentinel lymph node (SLN) biopsy. We sought to develop a model that more accurately predicts prognosis in this population. STUDY
DESIGN: Using a data set obtained from a prospective multi-institutional study of 2,507 patients with clinically node-negative melanomas ≥1.0 mm Breslow thickness, we developed a prognostic model using a Cox regression formula incorporating a number of significant clinicopathologic factors. The AJCC model and our model were used to predict 5-year survival from this test data set. The concordance correlation coefficient (CCC) was determined and chi-square tests were performed. Our new prognostic model was validated using an independent data set of 1,001 patients.
RESULTS: Using the test data set, the CCC for the AJCC model was 0.875; chi-square tests demonstrated statistically significant differences between observed and predicted survivals for numerous clinicopathologic factors. The CCC for our model was 0.976 and none of the chi-square tests was statistically significant. Our model performed similarly well in SLN-negative patients (CCC 0.929) and SLN-positive patients (CCC 0.889). The AJCC model performed well in SLN-negative patients (CCC 0.854), but not in SLN-positive patients (CCC 0.626). Using the validation data set, similar findings were obtained.
CONCLUSIONS: Our prognostic model provides superior survival estimates compared with the AJCC model for patients undergoing SLN biopsy. This online tool is available at www.melanomacalculator.com, and will provide important information that can be used to guide adjuvant therapy decisions and stratification in clinical trials.
Copyright © 2012 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2012        PMID: 22342785     DOI: 10.1016/j.jamcollsurg.2011.12.027

Source DB:  PubMed          Journal:  J Am Coll Surg        ISSN: 1072-7515            Impact factor:   6.113


  6 in total

Review 1.  Tissue prognostic biomarkers in primary cutaneous melanoma.

Authors:  Mario Mandalà; Daniela Massi
Journal:  Virchows Arch       Date:  2014-02-01       Impact factor: 4.064

Review 2.  Surviving cutaneous melanoma: a clinical review of follow-up practices, surveillance, and management of recurrence.

Authors:  Amy A Mrazek; Celia Chao
Journal:  Surg Clin North Am       Date:  2014-08-05       Impact factor: 2.741

3.  ASO Author Reflections: Careful Development and Thoughtful Interpretation are Needed when Developing Online Prognostic Tools.

Authors:  Emily C Zabor
Journal:  Ann Surg Oncol       Date:  2018-11-01       Impact factor: 5.344

4.  Variability in Predictions from Online Tools: A Demonstration Using Internet-Based Melanoma Predictors.

Authors:  Emily C Zabor; Daniel Coit; Jeffrey E Gershenwald; Kelly M McMasters; James S Michaelson; Arnold J Stromberg; Katherine S Panageas
Journal:  Ann Surg Oncol       Date:  2018-02-22       Impact factor: 5.344

5.  Melanoma patients with unknown primary site or nodal recurrence after initial diagnosis have a favourable survival compared to those with synchronous lymph node metastasis and primary tumour.

Authors:  Benjamin Weide; Christine Faller; Margrit Elsässer; Petra Büttner; Annette Pflugfelder; Ulrike Leiter; Thomas Kurt Eigentler; Jürgen Bauer; Friedegund Meier; Claus Garbe
Journal:  PLoS One       Date:  2013-06-25       Impact factor: 3.240

6.  Development and validation of a nomogram to predict recurrence and melanoma-specific mortality in patients with negative sentinel lymph nodes.

Authors:  D Verver; D van Klaveren; V Franke; A C J van Akkooi; P Rutkowski; U Keilholz; A M M Eggermont; T Nijsten; D J Grünhagen; C Verhoef
Journal:  Br J Surg       Date:  2018-10-11       Impact factor: 6.939

  6 in total

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