Frontiers in Oncology (Jan 2019)

The Prognostic Significance of Low-Frequency Somatic Mutations in Metastatic Cutaneous Melanoma

  • Xiaobei Zhao,
  • Paul Little,
  • Alan P. Hoyle,
  • Guillaume J. Pegna,
  • Michele C. Hayward,
  • Anastasia Ivanova,
  • Anastasia Ivanova,
  • Joel S. Parker,
  • David L. Marron,
  • Matthew G. Soloway,
  • Heejoon Jo,
  • Ashley H. Salazar,
  • Michael P. Papakonstantinou,
  • Deeanna M. Bouchard,
  • Stuart R. Jefferys,
  • Katherine A. Hoadley,
  • David W. Ollila,
  • David W. Ollila,
  • David W. Ollila,
  • Jill S. Frank,
  • Jill S. Frank,
  • Nancy E. Thomas,
  • Nancy E. Thomas,
  • Nancy E. Thomas,
  • Paul B. Googe,
  • Paul B. Googe,
  • Paul B. Googe,
  • Ashley J. Ezzell,
  • Frances A. Collichio,
  • Frances A. Collichio,
  • Frances A. Collichio,
  • Carrie B. Lee,
  • Carrie B. Lee,
  • Carrie B. Lee,
  • H. Shelton Earp,
  • Norman E. Sharpless,
  • Willy Hugo,
  • James S. Wilmott,
  • Camelia Quek,
  • Nicola Waddell,
  • Peter A. Johansson,
  • John F. Thompson,
  • Nicholas K. Hayward,
  • Graham J. Mann,
  • Roger S. Lo,
  • Douglas B. Johnson,
  • Richard A. Scolyer,
  • D. Neil Hayes,
  • D. Neil Hayes,
  • Stergios J. Moschos,
  • Stergios J. Moschos,
  • Stergios J. Moschos

DOI
https://doi.org/10.3389/fonc.2018.00584
Journal volume & issue
Vol. 8

Abstract

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Background: Little is known about the prognostic significance of somatically mutated genes in metastatic melanoma (MM). We have employed a combined clinical and bioinformatics approach on tumor samples from cutaneous melanoma (SKCM) as part of The Cancer Genome Atlas project (TCGA) to identify mutated genes with potential clinical relevance.Methods: After limiting our DNA sequencing analysis to MM samples (n = 356) and to the CANCER CENSUS gene list, we filtered out mutations with low functional significance (snpEFF). We performed Cox analysis on 53 genes that were mutated in ≥3% of samples, and had ≥50% difference in incidence of mutations in deceased subjects versus alive subjects.Results: Four genes were potentially prognostic [RAC1, FGFR1, CARD11, CIITA; false discovery rate (FDR) < 0.2]. We identified 18 additional genes (e.g., SPEN, PDGFRB, GNAS, MAP2K1, EGFR, TSC2) that were less likely to have prognostic value (FDR < 0.4). Most somatic mutations in these 22 genes were infrequent (< 10%), associated with high somatic mutation burden, and were evenly distributed across all exons, except for RAC1 and MAP2K1. Mutations in only 9 of these 22 genes were also identified by RNA sequencing in >75% of the samples that exhibited corresponding DNA mutations. The low frequency, UV signature type and RNA expression of the 22 genes in MM samples were confirmed in a separate multi-institution validation cohort (n = 413). An underpowered analysis within a subset of this validation cohort with available patient follow-up (n = 224) showed that somatic mutations in SPEN and RAC1 reached borderline prognostic significance [log-rank favorable (p = 0.09) and adverse (p = 0.07), respectively]. Somatic mutations in SPEN, and to a lesser extent RAC1, were not associated with definite gene copy number or RNA expression alterations. High (>2+) nuclear plus cytoplasmic expression intensity for SPEN was associated with longer melanoma-specific overall survival (OS) compared to lower (≤ 2+) nuclear intensity (p = 0.048). We conclude that expressed somatic mutations in infrequently mutated genes beyond the well-characterized ones (e.g., BRAF, RAS, CDKN2A, PTEN, TP53), such as RAC1 and SPEN, may have prognostic significance in MM.

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