使用高密度蛋白质微阵列鉴定卵巢癌中的新型自身抗体特征。
Identifying novel autoantibody signatures in ovarian cancer using high-density protein microarrays.
作者信息
Gunawardana C Geeth, Memari Nader, Diamandis Eleftherios P
机构信息
Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, 6th Floor, Room m6-201, 60 Murray Street, Toronto, ON, Canada.
出版信息
Clin Biochem. 2009 Mar;42(4-5):426-9. doi: 10.1016/j.clinbiochem.2008.11.008. Epub 2008 Dec 3.
OBJECTIVES
To identify autoantibody signatures in ovarian cancer using protein microarray technology.
DESIGN AND METHODS
Protein microarrays were screened using non-malignant peritoneal fluid (n=30) and ascites fluid pooled from ovarian cancer patients (n=30).
RESULTS
Fifteen potential tumour-associated antigens were discovered. AASDHPPT showed the strongest signal-to-noise ratio.
CONCLUSIONS
Protein microarrays are suitable for autoantibody discovery in ovarian cancer but the signatures are of low frequency.
目的
利用蛋白质微阵列技术鉴定卵巢癌中的自身抗体特征。
设计与方法
使用非恶性腹膜液（n = 30）和从卵巢癌患者中收集的腹水（n = 30）对蛋白质微阵列进行筛选。
结果
发现了15种潜在的肿瘤相关抗原。AASDHPPT显示出最强的信噪比。
结论
蛋白质微阵列适用于卵巢癌中自身抗体的发现，但这些特征的出现频率较低。
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