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MicroRNA profiling of human kidney cancer subtypes
被引:152
|作者:
Petillo, David
[1
]
Kort, Eric J.
[1
,2
]
Anema, John
[4
]
Furge, Kyle A.
[3
]
Yang, Ximing J.
[5
]
Teh, Bin Tean
[1
,6
]
机构:
[1] Van Andel Res Inst, Canc Genet Lab, Grand Rapids, MI 49503 USA
[2] Van Andel Res Inst, Lab Epidemiol, Grand Rapids, MI 49503 USA
[3] Van Andel Res Inst, Lab Computat Biol, Grand Rapids, MI 49503 USA
[4] Spectrum Hlth Hosp, Dept Urol, Grand Rapids, MI 49503 USA
[5] Northwestern Univ, Feinberg Sch Med, Dept Pathol, Chicago, IL 60611 USA
[6] Natl Canc Ctr, Translat Canc Res Lab, NCCS VARI, Singapore 169610, Singapore
关键词:
microRNA;
profiling;
kidney cancer;
EXPRESSION PROFILES;
DISCOVERY;
D O I:
10.3892/ijo_00000318
中图分类号:
R73 [肿瘤学];
学科分类号:
100214 ;
摘要:
Although the functions of most of the identified microRNAs (miRNAs) have yet to be determined, their use as potential biomarkers has been considered in several human diseases and cancers. In order to understand their role in renal tumorigenesis, we screened the expression levels of miRNAs in four subtypes of human renal neoplasms: clear cell, papillary, and chromophobe renal cell carcinomas (RCC) as well as benign renal oncocytomas. We found a unique miRNA signature for each subtype of renal tumor. Furthermore, we identified unique patterns of miRNA expression distinguishing clear cell RCC cases with favorable vs. unfavorable outcome. Specifically, we documented the overexpression of miRs 424 and 203 in clear cell RCC relative to papillary RCC, as well as the inversion of expression of miR-203 in the benign oncocytomas (where it is underexpressed relative to normal kidney) as compared to the malignant chromophobe RCC (where it is overexpressed relative to normal kidney). Our results further suggest that overexpression of S-has-miR-32 is associated with poor outcome. While previous studies have identified unique miRNA expression pattern distinguishing tumors from different anatomical locations, here we extend this principle to demonstrate the utility of miRNA expression profiling to identify a signature unique to various tumor subtypes at a single anatomic locus.
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页码:109 / 114
页数:6
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