Amaro Adriana, Esposito Alessia Isabella, Gallina Anna, Nees Matthias, Angelini Giovanna, Albini Adriana, Pfeffer Ulrich
Functional Genomics, IRCCS A.O.U. San Martino - IST Istituto Nazionale per la Ricerca sul Cancro, Genoa, Italy.
Cancer Metastasis Rev. 2014 Sep;33(2-3):657-71. doi: 10.1007/s10555-013-9470-4.
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.
生物标志物对于癌症的早期检测、预后评估、反应预测以及残余或复发性疾病的检测都很重要。由于人们认为早期检测和手术可能会降低前列腺癌特异性死亡率,因此对前列腺癌的诊断标志物给予了特别关注。基于队列研究,前列腺特异性抗原(PSA,即激肽释放酶3,KLK3)的使用一直存在争议,这些研究表明其在预防性筛查中的应用仅对前列腺癌死亡率产生微小影响。许多研究小组已经确定了替代或额外的标志物,其中包括PCA3,以便通过筛查检测早期前列腺癌,区分潜在致命性前列腺癌和惰性前列腺癌,并指导治疗决策。大量提出的标志物促使我们开展本研究,我们利用公开可用的基因组数据来分析这些指标的诊断和预后潜力。我们通过对20000篇关于前列腺癌标志物的文献分析确定了380个标志物。其中最有趣的似乎是在前列腺癌中高表达的紧密连接蛋白3(CLDN3)和α-甲基酰基辅酶A消旋酶,以及在正常前列腺组织中表达最高的细丝蛋白C(FLNC)和角蛋白5。所提出的标志物中没有一个在组织特异性方面能与PSA相媲美。所提出的指标通常在正常组织和肿瘤组织中表现出很大的表达变异性,或者在其他组织中表达水平相似。那些被提议作为预后标志物的指标只能区分进展风险略有不同的病例,在临床上的应用似乎有限。我们使用了对152个前列腺组织进行采样的数据集、通过微阵列分析对281例前列腺癌进行分析的数据集以及对218例病例进行的综合基因组学研究来制定一个多基因评分。一个结合了多个指标的多变量模型提高了判别能力,但并没有显著增加从Gleason评分中获得的信息。对10年标志物研究的分析表明,前列腺癌的诊断和预后检测比其他肿瘤更困难,我们必须继续寻找更好的候选标志物。