Identification and validation of an eight-gene expression signature for predicting high Fuhrman grade renal cell carcinoma

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• 作者：Fangning Wan ; Yao Zhu ; Chengtao Han ; Qinghua Xu ; Junlong Wu ; Bo Dai ; Hailiang Zhang ; Guohai Shi ; Weijie Gu and Dingwei Ye
• 刊名：International Journal of Cancer
• 出版年：2017
• 出版时间：1 March 2017
• 年：2017
• 卷：140
• 期：5
• 页码：1199-1208
• 全文大小：388K
• ISSN：1097-0215

文摘

Clear cell renal cell carcinoma (ccRCC) is a malignancy with heterogeneous outcomes. Currently, renal mass biopsies are commonly employed to extract disease characteristics and aid prognosis. Although the pathological diagnosis of malignant disease is accurate in contemporary reports, the classification of Fuhrman grade using biopsy specimens remains far from promising. To generate a gene signature to distinguish high-grade ccRCC, we used the cancer genome atlas (TCGA) database to develop a gene expression signature for distinguishing high-grade (G3/4) from low-grade (G1/2) disease. The expression profile was further validated for performance and clinical use in 283 frozen renal cancer samples and 127 ex vivo renal mass biopsy samples, respectively. The area under curve (AUC) was used to quantify discriminative ability and was compared using the De-long test. Using the discovery dataset, we identified a 24-gene signature for high-grade disease with an AUC of 0.884. After applied to the development dataset, an eight-gene profile was defined and achieved an AUC of 0.823. Accuracy of eight-gene panel was maintained in the renal mass biopsies (RMB) samples (AUC = 0.821). In summary, using three-stage design, we validated an eight-gene expression signature for predicting high Fuhrman grade of ccRCC. This tool may help to reveal the characteristics of ccRCC biopsy specimens.