Prospective molecular profiling of melanoma metastases suggests classifiers of immune responsiveness

Ena Wang, Lance D. Miller, Galen A. Ohnmacht, Simone Mocellin, Ainhoa Perez-Diez, David Petersen, Yingdong Zhao, Richard Simon, John I. Powell, Esther Asaki, H. Richard Alexander, Paul H. Duray, Meenhard Herlyn, Nicholas P. Restifo, Edison T. Liu, Steven A. Rosenberg, Francesco M. Marincola

Research output: Contribution to journalArticlepeer-review

Abstract

We amplified RNAs from 63 fine needle aspiration (FNA) samples from 37 s.c. melanoma metastases from 25 patients undergoing immunotherapy for hybridization to a 6108-gene human cDNA chip. By prospectively following the history of the lesions, we could correlate transcript patterns with clinical outcome. Cluster analysis revealed a tight relationship among autologous synchronously sampled tumors compared with unrelated lesions (average Pearson's r = 0.83 and 0.7, respectively, P < 0.0003). As reported previously, two subgroups of metastatic melanoma lesions were identified that, however, had no predictive correlation with clinical outcome. Ranking of gene expression data from pretreatment samples identified ∼30 genes predictive of clinical response (P < 0.001). Analysis of their annotations denoted that approximately half of them were related to T-cell regulation, suggesting that immune responsiveness might be predetermined by a tumor microenvironment conducive to immune recognition.

Original languageEnglish (US)
Pages (from-to)3581-3586
Number of pages6
JournalCancer Research
Volume62
Issue number13
StatePublished - Jul 1 2002

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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