首页> 外文期刊>Urologic oncology >Novel blood biomarkers of human urinary bladder cancer Osman I, Bajorin DF, Sun T-T, Zhong H, Douglas D, Scattergood J, Zheng R, Han M, Marshall KW, Liew CC, Wayne Marshall and Choong-Chin Liew. New York University School of Medicine, New York, NY.
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Novel blood biomarkers of human urinary bladder cancer Osman I, Bajorin DF, Sun T-T, Zhong H, Douglas D, Scattergood J, Zheng R, Han M, Marshall KW, Liew CC, Wayne Marshall and Choong-Chin Liew. New York University School of Medicine, New York, NY.

机译:人膀​​胱癌的新型血液生物标记物Osman I,Bajorin DF,Sun T-T,Zhong H,Douglas D,Scattergood J,Zheng R,Han M,Marshall KW,Liew CC,Wayne Marshall和Choong-Chin Liew。纽约大学医学院,纽约,纽约。

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PURPOSE: Recent data indicate that cDNA microarray gene expression profile of blood cells can reflect disease states and thus have diagnostic value. We tested the hypothesis that blood cell gene expression can differentiate between bladder cancer and other genitourinary cancers as well as between bladder cancer and healthy controls. EXPERIMENTAL DESIGN: We used Affymetrix U133 Plus 2.0 GeneChip (Affymetrix, Santa Clara, CA) to profile circulating blood total RNA from 35 patients diagnosed with one of three types of genitourinary cancer [bladder cancer (n = 16), testicular cancer (n = 10), and renal cell carcinoma (n = 9)] and compared their cDNA profiles with those of 10 healthy subjects. We then verified the expression levels of selected genes from the Affymetrix results in a larger number of bladder cancer patients (n = 40) and healthy controls (n 27). RESULTS: Blood gene expression profiles distinguished bladder cancer patients from healthy controls and from testicular and renal cancer patients. Differential expression of a combined set of seven gene transcripts (insulin-like growth factor-binding protein 7, sorting nexin 16, chondroitin sulfate proteoglycan 6, and cathepsin D, chromodomain helicase DNA-binding protein 2, nell-like 2, and tumor necrosis factor receptor superfamily member 7) was able to discriminate bladder cancer from control samples with a sensitivity of 83% (95% confidence interval, 67-93%) and a specificity of 93% (95% confidence interval, 76-99%). CONCLUSION: We have shown that the gene expression profile of circulating blood cells can distinguish bladder cancer from other types of genitourinary cancer and healthy controls and can be used to identify novel blood markers for bladder.
机译:目的:最近的数据表明血细胞的cDNA微阵列基因表达谱可以反映疾病状态,因此具有诊断价值。我们检验了血细胞基因表达可以区分膀胱癌和其他泌尿生殖系统癌症以及膀胱癌和健康对照的假说。实验设计:我们使用Affymetrix U133 Plus 2.0 GeneChip(Affymetrix,加利福尼亚州圣克拉拉)来分析35例诊断为泌尿生殖系统癌症[膀胱癌(n = 16),睾丸癌(n = 10)和肾细胞癌(n = 9)],并将其cD​​NA图谱与10名健康受试者的图谱进行比较。然后,我们验证了从Affymetrix结果中选择的基因的表达水平在更多的膀胱癌患者(n = 40)和健康对照(n 27)中的表达。结果:血液基因表达谱将膀胱癌患者与健康对照组以及睾丸癌和肾癌患者区分开。组合表达的七个基因转录物的差异表达(胰岛素样生长因子结合蛋白7,分选神经毒素16,硫酸软骨素蛋白聚糖6和组织蛋白酶D,色域解旋酶DNA结合蛋白2,nell样2和肿瘤坏死因子受体超家族成员7)能够以83%(95%置信区间67-93%)和93%(95%置信区间76-99%)的特异性区分对照样品中的膀胱癌。结论:我们已经表明,循环血细胞的基因表达谱可将膀胱癌与其他类型的泌尿生殖道癌和健康对照区分开来,并可用于鉴定膀胱的新型血液标志物。

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