Literature DB >> 16595783

Gene expression profiling of primary cutaneous melanoma and clinical outcome.

Véronique Winnepenninckx1, Vladimir Lazar, Stefan Michiels, Philippe Dessen, Marguerite Stas, Soledad R Alonso, Marie-Françoise Avril, Pablo L Ortiz Romero, Thomas Robert, Ovidiu Balacescu, Alexander M M Eggermont, Gilbert Lenoir, Alain Sarasin, Thomas Tursz, Joost J van den Oord, Alain Spatz.   

Abstract

BACKGROUND: Gene expression profiling data for human primary cutaneous melanomas are scarce because of the lack of retrospective collections of frozen tumors. To identify differentially expressed genes that may be involved in melanoma progression and prognosis, we investigated the relationship between gene expression profiles and clinical outcome in a cohort of patients with primary melanoma.
METHODS: Labeled complementary RNA (cRNA) from each tissue sample was hybridized to a pangenomic 44K 60-mer oligonucleotide microarray. Class comparison and class prediction analyses were performed to identify genes whose expression in primary melanomas was associated with 4-year distant metastasis-free survival among 58 patients with at least 4 years of follow-up, distant metastasis, or death. Results were validated immunohistochemically at the protein level in 176 independent primary melanomas from patients with a median clinical follow-up of 8.5 years. Survival was analyzed with a Cox multivariable model and stratified log-rank test. All statistical tests were two-sided.
RESULTS: We identified 254 genes that were associated with distant metastasis-free survival of patients with primary melanoma. These 254 genes include genes involved in activating DNA replication origins, such as minichromosome maintenance genes and geminin. Twenty-three of these genes were studied at the protein level; expression of five (MCM4, P = .002; MCM3, P = .030; MCM6, P = .004; KPNA2, P = .021; and geminin, P = .004) was statistically significantly associated with overall survival in the validation set. In a multivariable Cox model adjusted for tumor thickness, ulceration, age, and sex, expression of MCM4 (hazard ratio [HR] of death = 4.04, 95% confidence interval [CI] = 1.39 to 11.76; P = .010) and MCM6 (HR of death = 7.42, 95% CI = 1.99 to 27.64; P = .003) proteins was still statistically significantly associated with overall survival.
CONCLUSION: We identified 254 genes whose expression was associated with metastatic dissemination of cutaneous melanomas. These genes may shed light on the molecular mechanisms underlying poor prognosis in melanoma patients.

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Year:  2006        PMID: 16595783     DOI: 10.1093/jnci/djj103

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  194 in total

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Review 2.  Systems biology in immunology: a computational modeling perspective.

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3.  Quantitative measurement of circulating lymphoid-specific helicase (HELLS) gene transcript: a potential serum biomarker for melanoma metastasis.

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4.  Nuclear karyopherin a2: a novel biomarker for infiltrative astrocytomas.

Authors:  K Gousias; A J Becker; M Simon; P Niehusmann
Journal:  J Neurooncol       Date:  2012-07-07       Impact factor: 4.130

Review 5.  Gene signature of the metastatic potential of cutaneous melanoma: too much for too little?

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Journal:  Clin Exp Metastasis       Date:  2010-02-24       Impact factor: 5.150

6.  Genetic and morphologic features for melanoma classification.

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Review 7.  Growth factors and oncogenes as targets in melanoma: lost in translation?

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8.  p16INK4a expression and absence of activated B-RAF are independent predictors of chemosensitivity in melanoma tumors.

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9.  A prognostic signature of G(2) checkpoint function in melanoma cell lines.

Authors:  Bernard Omolo; Craig Carson; Haitao Chu; Yingchun Zhou; Dennis A Simpson; Jill E Hesse; Richard S Paules; Kristine C Nyhan; Joseph G Ibrahim; William K Kaufmann
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10.  The metastasis suppressor NME1 inhibits melanoma cell motility via direct transcriptional induction of the integrin beta-3 gene.

Authors:  M Kathryn Leonard; Marián Novak; Devin Snyder; Grace Snow; Nidhi Pamidimukkala; Joseph R McCorkle; Xiuwei H Yang; David M Kaetzel
Journal:  Exp Cell Res       Date:  2018-11-17       Impact factor: 3.905

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