Department of Surgery, University of California, San Francisco, CA 94143-1674, USA.
Ann Surg. 2009 Dec;250(6):983-90. doi: 10.1097/SLA.0b013e3181b248bb.
To improve our understanding of the molecular mechanisms involved in malignant pheochromocytoma by examining differences in the gene expression profile between benign and malignant tumors.
The molecular events involved in the malignant transformation of pheochromocytoma are poorly understood. There are also no reliable and uniformly accepted histopathologic criteria to distinguish benign from malignant pheochromocytoma.
We performed genome-wide expression profiling of 58 pheochromocytomas (29 benign and sporadic, 16 benign and hereditary, 13 malignant) with technical and biologic replication.
Unsupervised cluster analysis showed 3 main clusters of tumors that did not have complete concordance with the clinical and pathologic groupings of pheochromocytomas. Supervised cluster analysis showed almost completely separate clustering between benign and malignant tumors. The differentially expressed genes with known function belonged to 8 biologic process categories; signal transduction, transcription, protein transport, protein synthesis, smooth muscle contraction, ion transport, chemotaxis, and electron transport. Gene set enrichment analysis revealed significant correlation between the microarray profiles of malignant pheochromocytomas and several known molecular pathways associated with carcinogenesis and dedifferentiation. Ten differentially expressed genes had high diagnostic accuracy, and 5 of these genes (CFC1, FAM62B, HOMER1, LRRN3, TBX3, ADAMTS) in combination had an area under the receiver operating characteristic (ROC) curve of 0.96 for distinguishing benign versus malignant tumors.
Differentially expressed genes between benign and malignant pheochromocytomas distinguish between these tumors with high diagnostic accuracy. Our findings provide new insight into the genes and molecular pathways that may be involved in malignant pheochromocytomas.
通过检查良性和恶性肿瘤之间的基因表达谱差异,提高我们对恶性嗜铬细胞瘤中涉及的分子机制的理解。
嗜铬细胞瘤恶性转化中涉及的分子事件知之甚少。也没有可靠和普遍接受的组织病理学标准来区分良性和恶性嗜铬细胞瘤。
我们对 58 例嗜铬细胞瘤(29 例良性和散发性,16 例良性和遗传性,13 例恶性)进行了全基因组表达谱分析,具有技术和生物学复制。
无监督聚类分析显示 3 个主要肿瘤簇,与嗜铬细胞瘤的临床和病理分组不完全一致。有监督聚类分析显示良性和恶性肿瘤之间几乎完全分离聚类。具有已知功能的差异表达基因属于 8 个生物学过程类别;信号转导、转录、蛋白质转运、蛋白质合成、平滑肌收缩、离子转运、趋化作用和电子传递。基因集富集分析显示,恶性嗜铬细胞瘤的微阵列谱与几种与致癌作用和去分化相关的已知分子途径之间存在显著相关性。10 个差异表达基因具有较高的诊断准确性,其中 5 个基因(CFC1、FAM62B、HOMER1、LRRN3、TBX3、ADAMTS)的组合对区分良性和恶性肿瘤的受试者工作特征(ROC)曲线下面积为 0.96。
良性和恶性嗜铬细胞瘤之间差异表达的基因可区分这些肿瘤,具有较高的诊断准确性。我们的研究结果为可能参与恶性嗜铬细胞瘤的基因和分子途径提供了新的见解。