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采用DNA微阵列方法对乳腺肿瘤进行p53基因突变分析。

p53 Mutation analysis in breast tumors by a DNA microarray method.

作者信息

Tennis Meredith, Krishnan Shiva, Bonner Matthew, Ambrosone Christine B, Vena John E, Moysich Kirsten, Swede Helen, McCann Susan, Hall Per, Shields Peter G, Freudenheim Jo L

机构信息

Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057-1465, USA.

出版信息

Cancer Epidemiol Biomarkers Prev. 2006 Jan;15(1):80-5. doi: 10.1158/1055-9965.EPI-05-0444.

Abstract

The p53 gene acts as a regulator of cell growth and DNA repair in normal cells; inactivation of the gene seems to lead to cancer. It is the most commonly mutated gene in human cancers, and a high-throughput sequencing method is needed for cancer etiology studies using large sample sets. In our population-based case-control study of breast cancer, the p53 gene was amplified by PCR for 392 subjects from seven hospitals in Western New York using the Affymetrix GeneChip technology. One hundred thirty-eight (35%) of the breast tumors had p53 mutations, of which 88% were located in exons 5 to 8. New hotspots were identified at codons 179, 195, 196, 213, 217, 249, 254, 278, 281, and 298, and previously reported hotspots were found at codons 175, 248, and 273. Manual sequencing for exons 5 to 9 of the p53 gene was done for 139 tumors to validate the Affymetrix assay. The two methods had 100% concordance for mutations detectable by the Affymetrix assay. We also successfully assayed paraffin-embedded breast and lung tumors from as early as 1958 and employed a nested PCR strategy to improve weak PCR amplification. To have statistical power, the investigation of gene environment interactions and cancer requires a large number of tumor analyses, which are frequently only available from archived tissue from multiple sources. We have shown the utility of the Affymetrix GeneChip method under these challenging conditions and provided new data for the mutational spectra of breast cancer in a population-based study.

摘要

p53基因在正常细胞中作为细胞生长和DNA修复的调节因子;该基因的失活似乎会导致癌症。它是人类癌症中最常发生突变的基因,对于使用大样本集的癌症病因学研究来说,需要一种高通量测序方法。在我们基于人群的乳腺癌病例对照研究中,使用Affymetrix基因芯片技术通过PCR对来自纽约西部七家医院的392名受试者的p53基因进行了扩增。138例(35%)乳腺肿瘤存在p53突变,其中88%位于外显子5至8。在密码子179、195、196、213、217、249、254、278、281和298处发现了新的热点,在密码子175、248和273处发现了先前报道的热点。对139个肿瘤的p53基因外显子5至9进行了手动测序,以验证Affymetrix检测方法。对于Affymetrix检测可检测到的突变,这两种方法的一致性为100%。我们还成功检测了最早可追溯到1958年的石蜡包埋乳腺和肺肿瘤,并采用巢式PCR策略来改善微弱的PCR扩增。为了具备统计学效力,对基因与环境相互作用及癌症的研究需要大量肿瘤分析,而这些分析往往只能从多个来源的存档组织中获得。我们已经展示了在这些具有挑战性的条件下Affymetrix基因芯片方法的实用性,并在一项基于人群的研究中为乳腺癌的突变谱提供了新的数据。

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