Integrating contextual miRNA and protein signatures for diagnostic and treatment decisions in cancer.
Integrating contextual miRNA and protein signatures for diagnostic and treatment decisions in cancer.
复制标题
DOI：
10.1586/erm.11.69
复制
发表时间：
2011-11
影响因子：
5.1
通讯作者：
Sempere LF
中科院分区：
文献类型：
--
作者：
Sempere LF
个性化医疗的前景高度依赖于为诊断决策和治疗方案提供信息的生物标志物的鉴定，以及对这些生物标志物的准确，快速和具有成本效益的检测和解释。miRNAs是一种短的非编码调控RNA，具有独特的生物学和化学特性，是肿瘤诊断治疗中非常有吸引力的候选者，近年来迅速发展成为一类新型的生物标志物。由于一些蛋白质编码基因生物标志物的效用已经在常规临床实践中被利用，因此重要的是鉴定其中miRNA提供这些现有（和其他翻译）生物标志物的互补或上级信息的区域，以增强肿瘤分子表征的诊断、预后和预测能力。在这篇文章中，将讨论在临床工具包中整合基于miRNA的检测以改善实体瘤患者的护理和管理的挑战和机遇。
The promise of personalized medicine is highly dependent on the identification of biomarkers that inform diagnostic decisions and treatment options, as well as on the accurate, rapid and cost-effective detection and interpretation of these biomarkers. miRNAs, which are short noncoding regulatory RNAs, are rapidly emerging as a novel class of biomarkers with a unique set of biological and chemical properties that makes them very appealing candidates for theranostic applications in cancer. Since the utility of some protein-encoding gene biomarkers is already exploited in routine clinical practice, it will be important to identify areas in which miRNAs provide complementary or superior information to these existing (and other translational) biomarkers to enhance the diagnostic, prognostic and predictive power of molecular characterization of tumors. In this article, the challenges and opportunities for integration of miRNA-based assays in the clinical toolkit to improve care and management of patients afflicted with solid tumors will be discussed.
登录
查看更多内容
影响因子：
64.8
作者：
Baek, Daehyun;Villen, Judit;Shin, Chanseok;Camargo, Fernando D.;Gygi, Steven P.;Bartel, David P.
通讯作者：
Bartel, David P.
影响因子：
30.8
作者：
Bentwich, I;Avniel, A;Bentwich, Z
通讯作者：
Bentwich, Z
DOI：
10.1073/pnas.0906947106
发表时间：
2009-09-15
影响因子：
11.1
作者：
Castellano, Leandro;Giamas, Georgios;Stebbing, Justin
通讯作者：
Stebbing, Justin
影响因子：
82.9
作者：
Beer, DG;Kardia, SLR;Hanash, S
通讯作者：
Hanash, S
影响因子：
11.2
作者：
Chin LJ;Ratner E;Leng S;Zhai R;Nallur S;Babar I;Muller RU;Straka E;Su L;Burki EA;Crowell RE;Patel R;Kulkarni T;Homer R;Zelterman D;Kidd KK;Zhu Y;Christiani DC;Belinsky SA;Slack FJ;Weidhaas JB
通讯作者：
Weidhaas JB