Certa Ulrich, Seiler Monika, Padovan Elisabetta, Spagnoli Giulio C
F. Hoffmann-La Roche Ltd, Pharmaceuticals Division, Basel, Switzerland.
Recent Results Cancer Res. 2002;160:85-91. doi: 10.1007/978-3-642-59410-6_12.
Interferon alpha (IFN-alpha) represents an adjuvant therapy of proven effectiveness in increasing disease-free interval and survival in subgroups of melanoma patients. Since high doses of cytokine are required, the treatment is often accompanied by toxic side effects. In addition, naturally occurring insensitivity to IFN-alpha may hamper its therapeutic efficacy. Clinical, molecular or immunological markers enabling the selection of potential responders have not so far been identified. To explore the molecular basis of IFN-alpha responsiveness, we analyzed the expression pattern of about 7000 genes in IFN-alpha-sensitive and IFN-alpha-resistant cell lines using high-density oligonucleotide arrays. Melanoma cell lines were screened for their sensitivity to proliferation inhibition and HLA class I induction by IFN-alpha by standard 3H-thymidine incorporation and flow cytometry. Total cellular RNA from four sensitive and two resistant cell lines was extracted, reverse-transcribed and hybridized to high-density oligonucleotide arrays. The comparative analysis of gene expression in either set of cell lines allowed the identification of four genes (RCCl, IFI16, hox2 and h19) preferentially transcribed in sensitive cells and two (SHB and PKC-zeta) preferentially expressed in resistant cells. These data may provide a useful basis for the development of diagnostic tools to select potential IFN-alpha responders as eligible for treatment, while avoiding unnecessary toxicity to nonresponders.
α干扰素(IFN-α)是一种经证实有效的辅助治疗方法,可延长黑色素瘤患者亚组的无病生存期并提高生存率。由于需要高剂量的细胞因子,该治疗常伴有毒副作用。此外,天然存在的对IFN-α不敏感可能会妨碍其治疗效果。迄今为止,尚未确定能够选择潜在反应者的临床、分子或免疫标志物。为了探索IFN-α反应性的分子基础,我们使用高密度寡核苷酸阵列分析了IFN-α敏感和IFN-α耐药细胞系中约7000个基因的表达模式。通过标准的3H-胸腺嘧啶核苷掺入法和流式细胞术,筛选黑色素瘤细胞系对IFN-α抑制增殖和诱导HLA I类分子表达的敏感性。从四个敏感细胞系和两个耐药细胞系中提取总细胞RNA,进行逆转录并与高密度寡核苷酸阵列杂交。对两组细胞系中基因表达的比较分析,确定了四个在敏感细胞中优先转录的基因(RCC1、IFI16、hox2和h19)和两个在耐药细胞中优先表达的基因(SHB和PKC-ζ)。这些数据可能为开发诊断工具提供有用的基础,以选择可能对IFN-α有反应的患者进行治疗,同时避免对无反应者造成不必要的毒性。