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JNCI Journal of the National Cancer Institute 1989 81(24):1893-1904; doi:10.1093/jnci/81.24.1893
© 1989 by Oxford University Press
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Journal of the National Cancer Institute, Vol. 81, No. 24, 1893-1904, December 20, 1989
© 1989 Oxford University Press

Model Predicting Survival in Stage I Melanoma Based on Tumor Progression

Wallace H. Clark, Jr.*, David E. Elder, DuPont Guerry, IV, Leonard E. Braitman, Bruce J. Trock, Delray Schultz, Marie Synnestvedt, Allan C. Halpern

Pigmented Lesion Study Group, University of Pennsylvania School of Medicine Philadelphia, PA
Department of Dermatology, University of Pennsylvania School of Medicine Philadelphia, PA
Department of Pathology, University of Pennsylvania School of Medicine Philadelphia, PA
Department of Medicine, Hematology-Oncology, University of Pennsylvania School of Medicine Philadelphia, PA
The Cancer Center, University of Pennsylvania School of Medicine Philadelphia, PA

* Correspondence to: Wallace H. Clark, Jr., M.D., 217 Clinical Research Bldg., 422 Curie Blvd., University of Pennsylvania School of Medicine, Philadelphia, PA 19104–6013.

We used the lesional steps in tumor progression and multi-variable logistic regression to develop a prognostic model for primary, clinical stage I cutaneous melanoma. This model is 89% accurate in predicting survival. Using histologic criteria, we assigned melanomas to tumor progression steps by ascertaining their particular growth phase. These phases were the in situ and invasive radial growth phase and the vertical growth phase (the focal formation of a dermal tumor nodule or dermal tumor plaque within the radial growth phase or such dermal growth without an evident radial growth phase). After a minimum follow-up of 100.6 months and a median follow-up of 150.2 months, 122 invasive radial-growth-phase tumors were found to be without metastases. Eight-year survival among the 264 patients whose tumors had entered the vertical growth phase was 71.2%. Survival prediction in these patients was enhanced by the use of a multivariable logistic regression model. Twenty-three attributes were tested for entry into this model. Six had independently predictive prognostic information: (a) mitotic rate per square millimeter, (b) tumor-infiltrating lymphocytes, (c) tumor thickness, (d) anatomic site of primary melanoma, (e) sex of the patient, and (f) histologic regression. When mitotic rate per square millimeter, tumor-infiltrating lymphocytes, primary site, sex, and histologic regression are added to a logistic regression model containing tumor thickness alone, they are independent predictors of 8-year survival (P <.0005). [J Natl Cancer Inst 81: 1893–1904, 1989]



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J. Li, S. Pereira, P. Van Belle, P. Tsui, D. Elder, D. Speicher, K. Deen, A. Linnenbach, R. Somasundaram, R. Swoboda, et al.
Isolation of the Melanoma-Associated Antigen p23 Using Antibody Phage Display
J. Immunol., January 1, 2001; 166(1): 432 - 438.
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J. Clin. Pathol.Home page
E. Calonje
Best practice No 162 The histological reporting of melanoma
J. Clin. Pathol., August 1, 2000; 53(8): 587 - 590.
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Cancer Res.Home page
R. Mortarini, A. Borri, G. Tragni, I. Bersani, C. Vegetti, E. Bajetta, S. Pilotti, V. Cerundolo, and A. Anichini
Peripheral Burst of Tumor-specific Cytotoxic T Lymphocytes and Infiltration of Metastatic Lesions by Memory CD8+ T Cells in Melanoma Patients Receiving Interleukin 12
Cancer Res., July 1, 2000; 60(13): 3559 - 3568.
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J. Immunol.Home page
D. Valmori, V. Dutoit, D. Lienard, F. Lejeune, D. Speiser, D. Rimoldi, V. Cerundolo, P.-Y. Dietrich, J.-C. Cerottini, and P. Romero
Tetramer-Guided Analysis of TCR {beta}-Chain Usage Reveals a Large Repertoire of Melan-A-Specific CD8+ T Cells in Melanoma Patients
J. Immunol., July 1, 2000; 165(1): 533 - 538.
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JCOHome page
J. M. Kirkwood, J. G. Ibrahim, V. K. Sondak, J. Richards, L. E. Flaherty, M. S. Ernstoff, T. J. Smith, U. Rao, M. Steele, and R. H. Blum
High- and Low-Dose Interferon Alfa-2b in High-Risk Melanoma: First Analysis of Intergroup Trial E1690/S9111/C9190
J. Clin. Oncol., June 12, 2000; 18(12): 2444 - 2458.
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MutagenesisHome page
J. Smeds, R. Kumar, B. L. Rozell, and K. Hemminki
Increased frequency of LOH on chromosome 9 in sporadic primary melanomas is associated with increased patient age at diagnosis
Mutagenesis, May 1, 2000; 15(3): 257 - 260.
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Arch DermatolHome page
R. M. MacKie
Melanoma and the Dermatologist in the Third Millennium
Arch Dermatol, January 1, 2000; 136(1): 71 - 73.
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JEMHome page
A. Anichini, A. Molla, R. Mortarini, G. Tragni, I. Bersani, M. Di Nicola, A. M. Gianni, S. Pilotti, R. Dunbar, V. Cerundolo, et al.
An Expanded Peripheral T Cell Population to a Cytotoxic T Lymphocyte (Ctl)-Defined, Melanocyte-Specific Antigen in Metastatic Melanoma Patients Impacts on Generation of Peptide-Specific Ctls but Does Not Overcome Tumor Escape from Immune Surveillance in Metastatic Lesions
J. Exp. Med., September 6, 1999; 190(5): 651 - 668.
[Abstract] [Full Text] [PDF]


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Arch DermatolHome page
A. Spatz, E. Calonje, S. Handfield-Jones, and R. L. Barnhill
Spitz Tumors in Children: A Grading System for Risk Stratification
Arch Dermatol, March 1, 1999; 135(3): 282 - 285.
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Arch SurgHome page
Y. Hemo, M. Gutman, and J. M. Klausner
Anatomic Site of Primary Melanoma Is Associated With Depth of Invasion
Arch Surg, February 1, 1999; 134(2): 148 - 150.
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Arch DermatolHome page
D. J. Margolis, A. C. Halpern, T. Rebbeck, L. Schuchter, R. L. Barnhill, J. Fine, and M. Berwick
Validation of a Melanoma Prognostic Model
Arch Dermatol, December 1, 1998; 134(12): 1597 - 1601.
[Abstract] [Full Text] [PDF]


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Proc. Natl. Acad. Sci. USAHome page
R. Soiffer, T. Lynch, M. Mihm, K. Jung, C. Rhuda, J. C. Schmollinger, F. S. Hodi, L. Liebster, P. Lam, S. Mentzer, et al.
Vaccination with irradiated autologous melanoma cells engineered to secrete human granulocyte-macrophage colony-stimulating factor generates potent antitumor immunity in patients with metastatic melanoma
PNAS, October 27, 1998; 95(22): 13141 - 13146.
[Abstract] [Full Text] [PDF]


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ANN INTERN MEDHome page
L. Schuchter, D. J. Schultz, M. Synnestvedt, B. J. Trock, D. Guerry, D. E. Elder, R. Elenitsas, W. H. Clark, and A.C. Halpern
A Prognostic Model for Predicting 10-Year Survival in Patients with Primary Melanoma
Ann Intern Med, September 1, 1996; 125(5): 369 - 375.
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ANN INTERN MEDHome page
L. E. Braitman and F. Davidoff
Predicting Clinical States in Individual Patients
Ann Intern Med, September 1, 1996; 125(5): 406 - 412.
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BMJHome page
T. C Aitchison, J. M Sirel, D. C Watt, R. M MacKie, and f. t. S. M. Group
Prognostic trees to aid prognosis in patients with cutaneous malignant melanoma
BMJ, December 9, 1995; 311(7019): 1536 - 1539.
[Abstract] [Full Text]


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Cold Spring Harb Symp Quant BiolHome page
M.S. O'Reilly, L. Holmgren, Y. Shing, C. Chen, R.A. Rosenthal, Y. Cao, M. Moses, W.S. Lane, E.H. Sage, and J. Folkman
Angiostatin: A Circulating Endothelial Cell Inhibitor That Suppresses Angiogenesis and Tumor Growth
Cold Spring Harb Symp Quant Biol, January 1, 1994; 59(0): 471 - 482.
[Abstract] [PDF]


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Arch DermatolHome page
J. K. Rivers and V. C. Ho
Malignant Melanoma: Who Shall Live and Who Shall Die?
Arch Dermatol, April 1, 1992; 128(4): 537 - 542.
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Arch SurgHome page
P. Leon, J. M. Daly, M. Synnestvedt, D. J. Schultz, D. E. Elder, and W. H. Clark Jr
The Prognostic Implications of Microscopic Satellites in Patients With Clinical Stage I Melanoma
Arch Surg, December 1, 1991; 126(12): 1461 - 1468.
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