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首页> 外文期刊>Oncogene >Expression profiles of non-small cell lung cancers on cDNA microarrays: Identification of genes for prediction of lymph-node metastasis and sensitivity to anti-cancer drugs
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Expression profiles of non-small cell lung cancers on cDNA microarrays: Identification of genes for prediction of lymph-node metastasis and sensitivity to anti-cancer drugs

机译：非小细胞肺癌在cDNA微阵列上的表达谱：预测淋巴结转移和对抗癌药物敏感性的基因鉴定

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摘要

To investigate genes involved in pulmonary carcinogenesis and those related to sensitivity of nonsmall cell lung cancers (NSCLCs) to therapeutic drugs, we performed cDNA microarray analysis of 37 NSCLCs after laser-capture microdissection of cancer cells from primary tumors. A clustering algorithm applied to the expression data easily distinguished two major histological types of non-small cell lung cancer, adenocarcinoma and squamous cell carcinoma. Subsequent analysis of the 18 adenocarcinomas identified 40 genes whose expression levels could separate cases with lymph-node metastasis from those without metastasis. In addition, we compared the expression data with measurements of the sensitivity of surgically dissected NSCLC specimens to six anti-cancer drugs (docetaxel, paclitaxel, irinotecan, cisplatin, gemcitabine, and vinorelbine), as measured by the CD-DST (collagen gel droplet embedded culture-drug sensitivity test) method. We found significant associations between expression levels of dozens of genes and chemosensitivity of NSCLCs. Our results provide valuable information for eventually identifying predictive markers and novel therapeutic target molecules for this type of cancer.
机译：为了研究与肺癌发生有关的基因以及与非小细胞肺癌（NSCLC）对治疗药物敏感性相关的基因，我们在从原发肿瘤中进行了激光捕获显微切割后，对37个NSCLC进行了cDNA微阵列分析。应用于表达数据的聚类算法可以轻松地区分非小细胞肺癌的两种主要组织学类型：腺癌和鳞状细胞癌。随后对18例腺癌进行了分析，确定了40个基因，这些基因的表达水平可以将淋巴结转移的病例与无淋巴结转移的病例区分开。此外，我们将表达数据与通过手术切除的NSCLC标本对六种抗癌药物（多西他赛，紫杉醇，伊立替康，顺铂，吉西他滨和长春瑞滨）的敏感性进行了测量，并通过CD-DST（胶原凝胶滴）进行了测量嵌入式文化药物敏感性测试）方法。我们发现数十种基因的表达水平与非小细胞肺癌的化学敏感性之间存在显着关联。我们的结果为最终识别此类癌症的预测标志物和新型治疗靶分子提供了有价值的信息。

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