Whole-genome analysis of papillary kidney cancer finds significant noncoding alterations

Shantao Li1, Brian M Shuch2, Mark B Gerstein1,3,4

  • 1Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America.

Plos Genetics
|March 31, 2017
PubMed

Insights

This study reveals novel genetic drivers in papillary renal-cell carcinoma (pRCC), including noncoding mutations and germline variants in MET, offering new insights into pRCC

Area of Science:

  • Genomics
  • Oncology
  • Molecular Biology

Background:

  • Papillary renal-cell carcinoma (pRCC) molecular etiology remains unclear for many tumors.
  • Previous studies focused on coding alterations in drivers like MET.
  • Whole-genome analysis is needed to uncover novel pRCC drivers.

Purpose of the Study:

  • To perform the first whole-genome analysis of pRCC.
  • To identify novel genetic alterations and mutational processes in pRCC.
  • To understand the molecular basis of pRCC heterogeneity.

Main Methods:

  • Whole-genome sequencing of pRCC tumors.
  • Analysis of germline and somatic mutations, including noncoding regions.
  • Investigation of mutational signatures and cancer evolution.

Main Results:

  • A germline SNP in MET (rs11762213) predicts pRCC prognosis.
  • Noncoding mutations near MET are associated with oncogenic splicing and cryptic promoter activation.
  • Increased mutations in NEAT1 long noncoding RNA correlate with unfavorable outcomes.
  • Methylation-associated C-to-T transitions are the primary mutational process.
  • Tumors with chromatin-modifier alterations show more mutations in open chromatin and early-replicating regions.
  • Cancer evolution trajectories differ significantly across pRCC subtypes.

Conclusions:

  • Whole-genome analysis identifies novel noncoding and germline drivers in pRCC.
  • Understanding these alterations and mutational processes is crucial for pRCC classification and treatment.
  • Distinct evolutionary paths contribute to pRCC heterogeneity.

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