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Tumor Cell Adhesion As a Risk Factor for Sentinel Lymph Node Metastasis in Primary Cutaneous Melanoma

Authors :
Edwin J. Squirewell
Louis A. Schenck
Clark C. Otley
Joel B. Heim
Mark R. Pittelkow
Jørgen Lock-Andersen
Amy L. Weaver
Mark A. Cappel
Alexander Meves
Vera J. Suman
Ekaterina Nikolova
Ditte Marie Saunte
Nille Behrendt
Source :
Journal of Clinical Oncology. 33:2509-2515
Publication Year :
2015
Publisher :
American Society of Clinical Oncology (ASCO), 2015.

Abstract

Purpose Less than 20% of patients with melanoma who undergo sentinel lymph node (SLN) biopsy based on American Society of Clinical Oncology/Society of Surgical Oncology recommendations are SLN positive. We present a multi-institutional study to discover new molecular risk factors associated with SLN positivity in thin and intermediate-thickness melanoma. Patients and Methods Gene clusters with functional roles in melanoma metastasis were discovered by next-generation sequencing and validated by quantitative polymerase chain reaction using a discovery set of 73 benign nevi, 76 primary cutaneous melanoma, and 11 in-transit melanoma metastases. We then used polymerase chain reaction to quantify gene expression in a model development cohort of 360 consecutive thin and intermediate-thickness melanomas and a validation cohort of 146 melanomas. Outcome of interest was SLN biopsy metastasis within 90 days of melanoma diagnosis. Logic and logistic regression analyses were used to develop a model for the likelihood of SLN metastasis from molecular, clinical, and histologic variables. Results ITGB3, LAMB1, PLAT, and TP53 expression were associated with SLN metastasis. The predictive ability of a model that included these molecular variables in combination with clinicopathologic variables (patient age, Breslow depth, and tumor ulceration) was significantly greater than a model that only considered clinicopathologic variables and also performed well in the validation cohort (area under the curve, 0.93; 95% CI, 0.87 to 0.97; false-positive and false-negative rates of 22% and 0%, respectively, using a 10% cutoff for predicted SLN metastasis risk). Conclusion The addition of cell adhesion–linked gene expression variables to clinicopathologic variables improves the identification of patients with SLN metastases within 90 days of melanoma diagnosis.

Details

ISSN :
15277755 and 0732183X
Volume :
33
Database :
OpenAIRE
Journal :
Journal of Clinical Oncology
Accession number :
edsair.doi.dedup.....9f3c58a97459dd0a365cfcbf7791fd4b