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Analysis of N-ras Mutations in Human Cutaneous Melanoma: Tumor Heterogeneity Detected by Polymerase Chain Reaction/Single-Stranded Conformation Polymorphism Analysis

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Skin Cancer: Basic Science, Clinical Research and Treatment

Part of the book series: Recent Results in Cancer Research ((RECENTCANCER,volume 139))

Abstract

Determination of the activation state of oncogenes as well as tumor suppressor genes is a main subject of interest in the analysis of the mechanism of tumor initiation. In human melanoma, the c-myc and N-ras oncogenes have been found to be activated in approximately 50% and 15% of the analyzed material, respectively. These studies have mostly been done on fresh tumor material or cell lines. Only in a few cases has an attempt been made to look at tumor heterogeneity or clonality with respect to the activation of oncogenes. We have adjusted the polymerase chain reaction (PCR)/ single-stranded conformation polymorphism analysis (SSCP) technique to screen paraffin-embedded melanoma material for the presence of N-ras mutations and found genetic defects at particular progression stages. In one melanoma of the skin, we were able to sublocalize an N-ras mutation in the intraepidermal tumor part, that was absent in the part deeply invading the dermal layer. We conclude that a thorough investigation of N-ras activation in human melanoma should include analysis of histologically different parts of the tumor.

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© 1995 Springer-Verlag Berlin · Heidelberg

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van Elsas, A. et al. (1995). Analysis of N-ras Mutations in Human Cutaneous Melanoma: Tumor Heterogeneity Detected by Polymerase Chain Reaction/Single-Stranded Conformation Polymorphism Analysis. In: Garbe, C., Schmitz, S., Orfanos, C.E. (eds) Skin Cancer: Basic Science, Clinical Research and Treatment. Recent Results in Cancer Research, vol 139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78771-3_5

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  • DOI: https://doi.org/10.1007/978-3-642-78771-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-78773-7

  • Online ISBN: 978-3-642-78771-3

  • eBook Packages: Springer Book Archive

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