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

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

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240 Scopus citations

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 language	English (US)
Pages (from-to)	3581-3586
Number of pages	6
Journal	Cancer Research
Volume	62
Issue number	13
State	Published - Jul 1 2002
Externally published	Yes

ASJC Scopus subject areas

Oncology
Cancer Research

Cite this

Wang, E., Miller, L. D., Ohnmacht, G. A., Mocellin, S., Perez-Diez, A., Petersen, D., Zhao, Y., Simon, R., Powell, J. I., Asaki, E., Alexander, H. R., Duray, P. H., Herlyn, M., Restifo, N. P., Liu, E. T., Rosenberg, S. A., & Marincola, F. M. (2002). Prospective molecular profiling of melanoma metastases suggests classifiers of immune responsiveness. Cancer Research, 62(13), 3581-3586.

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title = "Prospective molecular profiling of melanoma metastases suggests classifiers of immune responsiveness",

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.",

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

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language = "English (US)",

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AU - Wang, Ena

AU - Miller, Lance D.

AU - Ohnmacht, Galen A.

AU - Mocellin, Simone

AU - Perez-Diez, Ainhoa

AU - Petersen, David

AU - Zhao, Yingdong

AU - Simon, Richard

AU - Powell, John I.

AU - Asaki, Esther

AU - Alexander, H. Richard

AU - Duray, Paul H.

AU - Herlyn, Meenhard

AU - Restifo, Nicholas P.

AU - Liu, Edison T.

AU - Rosenberg, Steven A.

AU - Marincola, Francesco M.

PY - 2002/7/1

Y1 - 2002/7/1

N2 - 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.

AB - 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.

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AN - SCOPUS:0036645090

SN - 0008-5472

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JO - Cancer Research

JF - Cancer Research

IS - 13

ER -

Prospective molecular profiling of melanoma metastases suggests classifiers of immune responsiveness

Abstract

ASJC Scopus subject areas

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