Cancers (Oct 2022)

Sentinel Lymph Node Gene Expression Signature Predicts Recurrence-Free Survival in Cutaneous Melanoma

  • Lilit Karapetyan,
  • William Gooding,
  • Aofei Li,
  • Xi Yang,
  • Andrew Knight,
  • Hassan M. Abushukair,
  • Danielle Vargas De Stefano,
  • Cindy Sander,
  • Arivarasan Karunamurthy,
  • Monica Panelli,
  • Walter J. Storkus,
  • Ahmad A. Tarhini,
  • John M. Kirkwood

DOI
https://doi.org/10.3390/cancers14204973
Journal volume & issue
Vol. 14, no. 20
p. 4973

Abstract

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We sought to develop a sentinel lymph node gene expression signature score predictive of disease recurrence in patients with cutaneous melanoma. Gene expression profiling was performed on SLN biopsies using U133A 2.0 Affymetrix gene chips. The top 25 genes associated with recurrence-free survival (RFS) were selected and a penalized regression function was used to select 12 genes with a non-zero coefficient. A proportional hazards regression model was used to evaluate the association between clinical covariates, gene signature score, and RFS. Among the 45 patients evaluated, 23 (51%) had a positive SLN. Twenty-one (46.7%) patients developed disease recurrence. For the top 25 differentially expressed genes (DEG), 12 non-zero penalized coefficients were estimated (CLGN, C1QTNF3, ADORA3, ARHGAP8, DCTN1, ASPSCR1, CHRFAM7A, ZNF223, PDE6G, CXCL3, HEXIM1, HLA-DRB). This 12-gene signature score was significantly associated with RFS (p p < 0.0001). This SLN 12-gene signature risk score is associated with melanoma recurrence regardless of SLN status and may be used as a prognostic factor for RFS.

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