Wikman Harriet, Seppänen Jouni K, Sarhadi Virinder K, Kettunen Eeva, Salmenkivi Kaisa, Kuosma Eeva, Vainio-Siukola Katri, Nagy Balint, Karjalainen Antti, Sioris Thanos, Salo Jarmo, Hollmén Jaakko, Knuutila Sakari, Anttila Sisko
Departments of Medical Genetics and Pathology, Haartman Institute, University of Helsinki and Helsinki University Central Hospital Laboratory Diagnostics, Helsinki, Finland.
J Pathol. 2004 May;203(1):584-93. doi: 10.1002/path.1552.
To identify new potential diagnostic markers for lung cancer, the expression profiles of 37 lung tumours were analysed using cDNA arrays. Seven samples were from small-cell lung cancer (SCLC), two from large-cell neuroendocrine tumours (LCNEC), and 28 from other non-small-cell lung cancers (mainly squamous cell cancer and adenocarcinoma). Principal component analysis and the permutation test were used to detect differences in the gene expression profiles and a set of genes was found that distinguished high-grade neuroendocrine carcinomas (SCLC and LCNEC) from other lung cancers. In addition, several genes, such as caveolin-1 (CAV1) and caveolin-2 (CAV2), were constantly deregulated in all types of tumour sample, compared with normal tissue. The expression of these two genes was investigated further at the protein level on a tissue microarray containing tumours from 161 patients and normal tissues. Immunostaining for CAV1 was negative in 48% of tumours, whereas 28% of the tumours did not express CAV2. Lack of CAV1 protein expression was not caused by methylation or mutation. In stage I adenocarcinomas, CAV2 protein expression correlated with shorter survival. In conclusion, the present study was able to identify genes that have not previously been implicated in lung cancer by the combined use of two different array techniques. Some of these genes may provide novel diagnostic markers for lung cancer.
为了鉴定肺癌新的潜在诊断标志物,利用cDNA阵列分析了37例肺肿瘤的表达谱。其中7个样本来自小细胞肺癌(SCLC),2个来自大细胞神经内分泌肿瘤(LCNEC),28个来自其他非小细胞肺癌(主要是鳞状细胞癌和腺癌)。采用主成分分析和置换检验来检测基因表达谱的差异,发现了一组可区分高级别神经内分泌癌(SCLC和LCNEC)与其他肺癌的基因。此外,与正常组织相比,一些基因,如小窝蛋白-1(CAV1)和小窝蛋白-2(CAV2),在所有类型的肿瘤样本中均持续失调。在包含161例患者肿瘤和正常组织的组织芯片上,进一步在蛋白质水平研究了这两个基因的表达。CAV1免疫染色在48%的肿瘤中呈阴性,而28%的肿瘤不表达CAV2。CAV1蛋白表达缺失并非由甲基化或突变所致。在I期腺癌中,CAV2蛋白表达与较短生存期相关。总之,本研究通过联合使用两种不同的阵列技术,能够鉴定出以前未与肺癌相关的基因。其中一些基因可能为肺癌提供新的诊断标志物。