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Validation of proposed prostate cancer biomarkers with gene expression data: a long road to travel

机译:用基因表达数据验证拟议的前列腺癌生物标志物:漫长的旅途

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摘要

Biomarkers are important for early detection of cancer, prognosis, response prediction, and detection of residual or relapsing disease. Special attention has been given to diagnostic markers for prostate cancer since it is thought that early detection and surgery might reduce prostate cancer-specific mortality. The use of prostate-specific antigen, PSA (KLK3), has been debated on the base of cohort studies that show that its use in preventive screenings only marginally influences mortality from prostate cancer. Many groups have identified alternative or additional markers, among which PCA3, in order to detect early prostate cancer through screening, to distinguish potentially lethal from indolent prostate cancers, and to guide the treatment decision. The large number of markers proposed has led us to the present study in which we analyze these indicators for their diagnostic and prognostic potential using publicly available genomic data. We identified 380 markers from literature analysis on 20,000 articles on prostate cancer markers. The most interesting ones appeared to be claudin 3 (CLDN3) and alpha-methysacyl-CoA racemase highly expressed in prostate cancer and filamin C (FLNC) and keratin 5 with highest expression in normal prostate tissue. None of the markers proposed can compete with PSA for tissue specificity. The indicators proposed generally show a great variability of expression in normal and tumor tissue or are expressed at similar levels in other tissues. Those proposed as prognostic markers distinguish cases with marginally different risk of progression and appear to have a clinically limited use. We used data sets sampling 152 prostate tissues, data sets with 281 prostate cancers analyzed by microarray analysis and a study of integrated genomics on 218 cases to develop a multigene score. A multivariate model that combines several indicators increases the discrimination power but does not add impressively to the information obtained from Gleason scoring. This analysis of 10 years of marker research suggests that diagnostic and prognostic testing is more difficult in prostate cancer than in other neoplasms and that we must continue to search for better candidates.Electronic supplementary materialThe online version of this article (doi:10.1007/s10555-013-9470-4) contains supplementary material, which is available to authorized users.
机译:生物标记对于癌症的早期检测,预后,反应预测以及残留或复发性疾病的检测非常重要。由于人们认为早期发现和手术可能会降低前列腺癌特异性死亡率,因此特别关注了前列腺癌的诊断标记。在队列研究的基础上,对前列腺特异性抗原PSA(KLK3)的使用进行了辩论,研究表明,其在预防性筛查中的使用仅会轻微影响前列腺癌的死亡率。许多小组已经确定了替代或其他标记,其中PCA3可以通过筛查来检测早期前列腺癌,以区分潜在的致死性前列腺癌和惰性前列腺癌,并指导治疗决策。提出的大量标志物使我们进入了目前的研究,其中我们使用公开的基因组数据分析了这些指标的诊断和预后潜力。我们从20,000篇关于前列腺癌标志物的文献分析中鉴定了380个标志物。最有趣的似乎是在前列腺癌中高表达的claudin 3(CLDN3)和α-甲基糖基辅酶A消旋酶,以及在正常前列腺组织中表达最高的纤维蛋白C(FLNC)和角蛋白5。提出的所有标记都无法与PSA竞争组织特异性。提出的指示剂通常在正常和肿瘤组织中表现出很大的表达差异,或在其他组织中以相似的水平表达。那些被提议作为预后标志物的病例区分了进展风险略有不同的病例,并且似乎在临床上用途有限。我们使用了152个前列腺组织的数据集,通过微阵列分析分析的281个前列腺癌的数据集以及对218例整合基因组学的研究来开发多基因评分。结合了多个指标的多元模型可以提高判别能力,但不会显着增加从格里森评分中获得的信息。对10年的标记物研究的分析表明,前列腺癌的诊断和预后测试要比其他肿瘤更困难,因此我们必须继续寻找更好的候选者。电子补充材料本文的在线版本(doi:10.1007 / s10555- 013-9470-4)包含补充材料,授权用户可以使用。

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