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Updated: May 30, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
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.
Abstract:
To date, studies on papillary renal-cell carcinoma (pRCC) have largely focused on coding alterations in traditional drivers, particularly the tyrosine-kinase, Met. However, for a significant fraction of tumors, researchers have been unable to determine a clear molecular etiology. To address this, we perform the first whole-genome analysis of pRCC. Elaborating on previous results on MET, we find a germline SNP (rs11762213) in this gene predicting prognosis. Surprisingly, we detect no enrichment for small structural variants disrupting MET. Next, we scrutinize noncoding mutations, discovering potentially impactful ones associated with MET. Many of these are in an intron connected to a known, oncogenic alternative-splicing event; moreover, we find methylation dysregulation nearby, leading to a cryptic promoter activation. We also notice an elevation of mutations in the long noncoding RNA NEAT1, and these mutations are associated with increased expression and unfavorable outcome. Finally, to address the origin of pRCC heterogeneity, we carry out whole-genome analyses of mutational processes. First, we investigate genome-wide mutational patterns, finding they are governed mostly by methylation-associated C-to-T transitions. We also observe significantly more mutations in open chromatin and early-replicating regions in tumors with chromatin-modifier alterations. Finally, we reconstruct cancer-evolutionary trees, which have markedly different topologies and suggested evolutionary trajectories for the different subtypes of pRCC.
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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