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Clinical Cancer Research Vol. 11, 6558-6566, September 15, 2005
© 2005 American Association for Cancer Research


Imaging, Diagnosis, Prognosis

Messenger RNA Expression Ratios among Four Genes Predict Subtypes of Renal Cell Carcinoma and Distinguish Oncocytoma from Carcinoma

Yao-Tseng Chen1, Jiangling J. Tu1, Jean Kao1, Xi K. Zhou2 and Madhu Mazumdar2

Authors' Affiliations: Departments of 1 Pathology and Laboratory Medicine and 2 Public Health, Division of Biostatistics and Epidemiology, Weill Medical College, Cornell University, New York, New York

Requests for reprints: Yao-Tseng Chen, Department of Pathology, Weill Medical College, Cornell University, Room C-458A, 1300 York Avenue, New York, NY 10021. Phone: 212-746-6472; Fax: 1-212-746-4483; E-mail: ytchen{at}med.cornell.edu.

Purpose: Morphologic distinction among clear cell, papillary, and chromophobe types of renal cell carcinoma (RCC) can be difficult, as is the differential diagnosis between oncocytoma and RCC. Whether these renal tumors can be distinguished by their mRNA expression profile of a few selected genes was examined.

Experimental Design: The expression of four genes in renal tumor was evaluated by quantitative reverse transcription-PCR: carbonic anhydrase IX (CA9), methylacyl-CoA racemase (AMACR), parvalbumin (PVALB), and chloride channel kb (CLCNKB). Thirty-one fresh-frozen and 63 formalin-fixed, paraffin-embedded tumor specimens were analyzed.

Results: CA9 expression was highest in clear cell carcinoma and lowest in chromophobe RCC and in oncocytoma. AMACR expression was highest in papillary RCC, and CLCNKB was highest in chromophobe RCC/oncocytoma. PVALB was highest in chromophobe RCC, variable in oncocytoma, and low in clear cell and papillary types. Similar findings were observed in fresh-frozen and formalin-fixed specimens. The mRNA expression ratios among these genes (i.e., CA9/AMACR and AMACR/CLCNKB ratios) further accentuate the gene expression differences among these tumors, and a molecular diagnostic algorithm was established. This algorithm accurately classified the 31 fresh-frozen tumors into 14 clear cell, 5 papillary, 6 chromophobe, and 6 oncocytomas. In the formalin-fixed group, the molecular criteria accurately classified the cases into 15 clear cell, 16 papillary, and 32 in the chromophobe/oncocytoma group but could only separate some, but not all, oncocytomas from chromophobe RCC.

Conclusions: RNA expression ratios based on the four-gene panel can accurately classify subtypes of RCC as well as help distinguish some oncocytomas from chromophobe RCC.




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Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
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Copyright © 2005 by the American Association for Cancer Research.