Journal Article

A Seven-Marker Signature and Clinical Outcome in Malignant Melanoma: A Large-Scale Tissue-Microarray Study with Two Independent Patient Cohorts

Anagnostou, Nikos, Brandner, Johanna M., Ikenberg, Kristian, Pauer, Armin, Roth, Volker, Landthaler, Michael, Meyer, Stefanie, Wild, Peter J., Fuchs, Thomas J., Moch, Holger, Bosserhoff, Anja K., Vogt, Thomas, Hofstädter, Ferdinand, Buhmann, Joachim M., Moll, Ingrid

2012

Overview

Current staging methods such as tumor thickness, ulceration and invasion of the sentinel node are known to be prognostic parameters in patients with malignant melanoma (MM). However, predictive molecular marker profiles for risk stratification and therapy optimization are not yet available for routine clinical assessment. Using tissue microarrays, we retrospectively analyzed samples from 364 patients with primary MM. We investigated a panel of 70 immunohistochemical (IHC) antibodies for cell cycle, apoptosis, DNA mismatch repair, differentiation, proliferation, cell adhesion, signaling and metabolism. A marker selection procedure based on univariate Cox regression and multiple testing correction was employed to correlate the IHC expression data with the clinical follow-up (overall and recurrence-free survival). The model was thoroughly evaluated with two different cross validation experiments, a permutation test and a multivariate Cox regression analysis. In addition, the predictive power of the identified marker signature was validated on a second independent external test cohort (n=225). A signature of seven biomarkers (Bax, Bcl-X, PTEN, COX-2, loss of β-Catenin, loss of MTAP, and presence of CD20 positive B-lymphocytes) was found to be an independent negative predictor for overall and recurrence-free survival in patients with MM. The seven-marker signature could also predict a high risk of disease recurrence in patients with localized primary MM stage pT1-2 (tumor thickness ≤2.00 mm). In particular, three of these markers (MTAP, COX-2, Bcl-X) were shown to offer direct therapeutic implications. The seven-marker signature might serve as a prognostic tool enabling physicians to selectively triage, at the time of diagnosis, the subset of high recurrence risk stage I-II patients for adjuvant therapy. Selective treatment of those patients that are more likely to develop distant metastatic disease could potentially lower the burden of untreatable metastatic melanoma and revolutionize the therapeutic management of MM.

• Publisher: Public Library of Science,Public Library of Science (PLoS)
• Subject: 5'-Methylthioadenosine phosphorylase / Adhesive strength / Adult / Aged / Antibodies / Antigens, CD20 - metabolism / Apoptosis / bcl-2-Associated X Protein - metabolism / Bcl-x protein / bcl-X Protein - metabolism / beta Catenin - metabolism / Biomarkers / Biomarkers, Tumor - metabolism / Cancer therapies / CD20 antigen / Cell adhesion / Cell cycle / Cell differentiation / Cell Line, Tumor / Cells, Cultured / Cohort Studies / Computer Science / Cyclooxygenase 2 - metabolism / Cyclooxygenase-2 / Deoxyribonucleic acid / Dermatology / Development and progression / Disease susceptibility / DNA / DNA microarrays / DNA repair / Female / Genes / Health risks / Hematology / Humans / Immunoglobulins / Immunohistochemistry - statistics & numerical data / Kaplan-Meier Estimate / Lymphocytes / Lymphocytes B / Male / Medical personnel / Medical prognosis / Medical research / Medicine / Melanoma / Melanoma - metabolism / Melanoma - pathology / Melanoma - therapy / Metabolic disorders / Metabolism / Metastases / Middle Aged / Mismatch repair / Mutation / Optimization / Pathology / Patient outcomes / Patients / Permutations / Physicians / Physiological aspects / Physiology / Prognosis / Proportional Hazards Models / PTEN Phosphohydrolase - metabolism / PTEN protein / Purine-Nucleoside Phosphorylase - metabolism / Recurrence (Disease) / Regression analysis / Risk assessment / Signal transduction / Signaling / Skin cancer / Skin Neoplasms - metabolism / Skin Neoplasms - pathology / Skin Neoplasms - therapy / Stem cells / Survival / Therapy / Tissue Array Analysis - methods / Treatment Outcome / Tumors / β-Catenin