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鉴定原发性非小细胞肺癌及其脑和淋巴结转移的福尔马林固定石蜡包埋组织中 RT-qPCR 分析的准确参考基因。

Identification of accurate reference genes for RT-qPCR analysis of formalin-fixed paraffin-embedded tissue from primary non-small cell lung cancers and brain and lymph node metastases.

机构信息

Department of Biomedicine, Aarhus University, The Bartholin Building, Wilhelm Meyers Allé 4, DK-8000 Aarhus C, Denmark.

出版信息

Lung Cancer. 2013 Aug;81(2):180-6. doi: 10.1016/j.lungcan.2013.04.007. Epub 2013 May 3.

Abstract

Lung cancer is the most common cause of cancer-related deaths worldwide, and metastatic spread of the cancer rather than the primary tumor is the main cause of death. However, the molecular alterations of cancer cells leading to the formation of metastasis are poorly understood. This is partly a result of most solid tumor samples available for retrospective studies being archived as formalin-fixed paraffin-embedded (FFPE) specimens causing the nucleic acids to be highly degraded. Furthermore, stably expressed reference genes for normalization of gene expression data using reverse transcriptase quantitative PCR (RT-qPCR) have not been identified for combined analysis of primary lung tumors and the tissues where to the cancer metastasize. Using an optimized RT-qPCR workflow we have analyzed the expression of 23 candidate reference genes in a total of 54 FFPE specimens derived from primary Non-Small Cell Lung Cancer tumors, brain metastases, and lymph node metastases as well as normal lung, lymph node, and brain tissues. We show that every aspect of the workflow is highly reproducible, and the PUM1, TBP, and IPO8 genes were identified as the most stably expressed reference genes among the candidates, by using the GeNorm and NormFinder software programs. Furthermore, we demonstrate that commonly used reference genes such as ACTB (β-actin), GAPDH, and rRNA18S are less stably expressed in the studied samples. The presented workflow and the identified reference genes may facilitate more reliable gene expression studies in lung cancer using RNA from FFPE tissues.

摘要

肺癌是全球癌症相关死亡的最常见原因,癌症的转移扩散而非原发性肿瘤是导致死亡的主要原因。然而,导致转移形成的癌细胞的分子改变仍知之甚少。这在一定程度上是因为大多数可用于回顾性研究的实体瘤样本都以福尔马林固定石蜡包埋(FFPE)标本存档,导致核酸高度降解。此外,用于逆转录定量 PCR(RT-qPCR)基因表达数据标准化的稳定表达参考基因尚未确定,无法对原发性肺肿瘤和癌症转移的组织进行联合分析。我们使用优化的 RT-qPCR 工作流程,在总共 54 个源自原发性非小细胞肺癌肿瘤、脑转移和淋巴结转移以及正常肺、淋巴结和脑组织的 FFPE 标本中分析了 23 个候选参考基因的表达。我们表明,工作流程的各个方面都具有高度的可重复性,并且通过 GeNorm 和 NormFinder 软件程序,PUM1、TBP 和 IPO8 基因被确定为候选基因中最稳定表达的参考基因。此外,我们证明了在研究样本中,常用的参考基因如 ACTB(β-actin)、GAPDH 和 rRNA18S 的表达稳定性较差。所提出的工作流程和鉴定的参考基因可促进使用来自 FFPE 组织的 RNA 进行更可靠的肺癌基因表达研究。

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