Session: SUN 17-28-Adrenal Tumors & Pheochromocytoma
Poster Board SUN-20
Unsupervised analysis identified two dominant clusters, separating SDHB and SDHD-AT PHEOs/PGLs (cluster-A) from VHL PHEOs and SDHD-HN PGLs (cluster-B). Supervised analysis yielded 6,937 highly predictive genes (misclassification error rate 0.175). Enrichment analysis revealed that energy metabolism and inflammation/fibrosis related genes were most pronouncedly changed in cluster-A and -B, respectively. A minimum subset of 40 classifiers was validated by quantitative RT-PCR (qRT-PCR vs. microarray: r = 0.87). Expression of several individual classifiers was identified as characteristic for VHL and SDHD-HN PHEOs and PGLs, respectively.
In the present study we show for the first time that SDHD-HN PGLs share more features with VHL PHEOs than with SDHD-AT PGLs. The presented data suggests novel sub-classification of pseudohypoxic PHEOs/PGLs and implies cluster specific pathogenic mechanisms and treatment strategies accordingly.
SF and US contributed equally to this work.
Nothing to Disclose: SMJF, US, AGE, TH, HT, JCM, JJB, PJM, WML, HJT, AST, JFP, RD, BEB, MT, SP, DG, HL, KC, KP
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