In silico DNA methylation analysis identifies potential prognostic biomarkers in type 2 papillary renal cell carcinoma

Cancer Med. 2019 Sep;8(12):5760-5768. doi: 10.1002/cam4.2402. Epub 2019 Jul 30.

Abstract

There are currently no effective treatments for advanced-stage papillary renal cell carcinoma (PRCC). The goal of this study is to define potential DNA methylation-based markers and treatment targets for advanced-stage type 2 PRCC. Progressive DNA methylation changes and copy number variation (CNV) from localized to advanced-stage type 2 PRCC are analyzed by using methylation data generated by TCGA's kidney renal papillary cell carcinoma (TCGA-KIRP, 450k array) project. Survival analyses are performed for the identified biomarkers and genes with CNV. In addition, expression of the corresponding genes is investigated by RNA-seq analysis. Progressive methylation changes in several CpGs from localized to advanced-stage type 2 PRCC are observed. Four CpGs (cg00489401, cg27649239, cg20555674, and cg07196505) in particular are identified as markers for differentiating between localized and advanced-stage type 2 PRCC. Copy number analysis reveals that copy gain of PTK7 mostly occurs in advanced-stage type 2 PRCC. Both the four CpG methylation changes and PTK7 copy number gain are associated with patient survival. RNA-seq analysis demonstrates that PTK7 copy gain leads to higher PTK7 expression relative to tumors without copy number gain. Moreover, PTK7 is significantly upregulated from localized to advanced-stage type 2 PRCC and is linked to cancer cell invasion. In conclusion, DNA methylation markers that differentiate between localized and advanced-stage type 2 PRCC may serve as useful markers for disease staging or outcome, while PTK7 copy gain represents a potential treatment target for advanced-stage type 2 PRCC. Stepwise methylation changes and copy number gain also associate with disease stage in PRCC patients.

Keywords: biomarkers; epigenetics; epigenomics; gene copy number.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers, Tumor / genetics*
  • Carcinoma, Renal Cell / genetics*
  • Carcinoma, Renal Cell / pathology
  • Cell Adhesion Molecules / genetics*
  • CpG Islands
  • DNA Copy Number Variations
  • DNA Methylation*
  • Gene Expression Profiling / methods*
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Kidney Neoplasms / genetics*
  • Kidney Neoplasms / pathology
  • Neoplasm Staging
  • Prognosis
  • Receptor Protein-Tyrosine Kinases / genetics*
  • Sequence Analysis, RNA
  • Survival Analysis
  • Up-Regulation

Substances

  • Biomarkers, Tumor
  • Cell Adhesion Molecules
  • PTK7 protein, human
  • Receptor Protein-Tyrosine Kinases