Neoplasia: An International Journal for Oncology Research (Apr 2013)

Genotype and Tumor Locus Determine Expression Profile of Pseudohypoxic Pheochromocytomas and Paragangliomas

  • Uma Shankavaram,
  • Stephanie M.J. Fliedner,
  • Abdel G. Elkahloun,
  • Jenifer J. Barb,
  • Peter J. Munson,
  • Thanh T. Huynh,
  • Joey C. Matro,
  • Hana Turkova,
  • W. Marston Linehan,
  • Henri J. Timmers,
  • Arthur S. Tischler,
  • James F. Powers,
  • Ronald de Krijger,
  • Bora E. Baysal,
  • Martina Takacova,
  • Silvia Pastorekova,
  • David Gius,
  • Hendrik Lehnert,
  • Kevin Camphausen,
  • Karel Pacak

DOI
https://doi.org/10.1593/neo.122132
Journal volume & issue
Vol. 15, no. 4
pp. 435 – 447

Abstract

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Pheochromocytomas (PHEOs) and paragangliomas (PGLs) related to mutations in the mitochondrial succinate dehydrogenase (SDH) subunits A, B, C, and D, SDH complex assembly factor 2, and the von Hippel-Lindau (VHL) genes share a pseudohypoxic expression profile. However, genotype-specific differences in expression have been emerging. Development of effective new therapies for distinctive manifestations, e.g., a high rate of malignancy in SDHB- or predisposition to multifocal PGLs in SDHD patients, mandates improved stratification. To identify mutation/location-related characteristics among pseudohypoxic PHEOs/PGLs, we used comprehensive microarray profiling (SDHB: n = 18, SDHD-abdominal/thoracic (AT): n = 6, SDHD-head/neck (HN): n = 8, VHL: n = 13). To avoid location-specific bias, typical adrenal medulla genes were derived from matched normal medullas and cortices (n = 8) for data normalization. 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 6937 highly predictive genes (misclassification error rate of 0.175). Enrichment analysis revealed that energy metabolism and inflammation/fibrosis-related genes were most pronouncedly changed in clusters A and B, respectively. A minimum subset of 40 classifiers was validated by quantitative real-time polymerase chain reaction (quantitative real-time polymerase chain reaction vs. microarray: r = 0.87). Expression of several individual classifiers was identified as characteristic for VHL and SDHD-HN PHEOs and PGLs. 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 suggest novel subclassification of pseudohypoxic PHEOs/PGLs and implies cluster-specific pathogenic mechanisms and treatment strategies.