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Melanoma prognosis: a REMARK-based systematic review and bioinformatic analysis of immunohistochemical and gene microarray studies.

机译:黑色素瘤的预后:基于REMARK的系统评价和免疫组织化学及基因芯片研究的生物信息学分析。

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摘要

Despite intensive research efforts, within-stage survival rates for melanoma vary widely. Pursuit of molecular biomarkers with improved prognostic significance over clinicohistological measures has produced extensive literature. Reviews have synthesized these data, but none have systematically partitioned high-quality studies from the remainder across different molecular methods nor examined system properties of that output. Databases were searched for studies analyzing protein expression by immunohistochemistry (n = 617, extending the only systematic review to date by 102 studies) or for gene expression microarray studies (n = 45) in melanoma in relation to outcome. REMARK-derived criteria were applied to identify high-quality studies. Biomarkers and pathways were functionally assessed by using gene ontology software. Most manuscripts did not meet REMARK-based criteria, an ongoing trend that can impede translational research. Across REMARK-compliant literature, 41 proteins were significantly associated with outcome. Multimarker tests consistently emerged among the most promising potential biomarkers, indicating a need to continue assessing candidates in that composite setting. Twenty-one canonical pathways were populated by outcome-related proteins but not by those that failed to show such an association; we propose that this set of pathways warrants closer investigation to understand drivers of poor outcome in melanoma. Two-gene expression microarray studies met REMARK-based criteria reflecting a genuine paucity of literature in the area. The 254 outcome-related genes were examined for correspondences with the systematically identified protein signature. This analysis highlighted proliferating cell nuclear antigen and survivin as priorities for further examination as biomarkers in melanoma prognosis, and illustrated ongoing need to integrate alternative approaches to biomarker discovery in melanoma translational research.
机译:尽管进行了深入的研究,但黑色素瘤的分期生存率差异很大。追求具有比临床组织学方法更好的预后意义的分子生物标志物已经产生了广泛的文献。综述已经综合了这些数据,但是没有一个系统地将高质量的研究与其余的研究内容系统地划分为不同的分子方法,也没有检查该输出的系统特性。搜索数据库以寻找通过免疫组织化学分析蛋白质表达的研究(n = 617,迄今为止仅有102条研究扩展了系统的综述),或针对黑素瘤的基因表达微阵列研究(n = 45)与预后相关。使用REMARK衍生的标准来鉴定高质量的研究。通过使用基因本体软件对生物标志物和途径进行功能评估。大多数手稿不符合基于REMARK的标准,这种持续发展的趋势可能会阻碍翻译研究。在符合REMARK的文献中,有41种蛋白质与结果显着相关。在最有前途的潜在生物标志物中始终出现多标志物测试,这表明需要继续评估该复合环境中的候选物。结果相关的蛋白构成了二十一条经典途径,而未能显示出这种关联的蛋白质则没有。我们建议这组途径值得进一步研究,以了解黑色素瘤预后不良的驱动因素。两基因表达微阵列研究符合基于REMARK的标准,反映出该地区文献的真正匮乏。检查了254个与结果相关的基因与系统识别的蛋白质特征的对应性。该分析突出显示了增殖细胞核抗原和生存素作为黑色素瘤预后中的生物标记物,应作进一步检查的重点,并说明了在黑色素瘤转化研究中整合生物标记物发现的替代方法的持续需求。

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