<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE85897" accession="SRP082503">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP082503</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA339705</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE85897</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Molecular analysis of renal cell carcinoma with unclassfied histology [gene expression]</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>Renal cell carcinomas with unclassified histology (uRCC) constitute a significant portion of aggressive non-clear cell RCC (nccRCC) that have no standard therapy. The oncogenic drivers in these tumors are unknown. We performed a molecular analysis of 62 high-grade primary uRCC, incorporating targeted cancer gene sequencing, RNA sequencing, Single Nucleotide Polymorphism array, fluorescence in-situ hybridization, immunohistochemistry, and cell-based assays. We identified recurrent somatic mutations in 29 genes, including NF2 (18%), SETD2 (18%), BAP1 (13%), KMT2C (10%), and MTOR (8%). Integrated analysis revealed distinct molecular subsets, including a subset of 26% uRCC characterized by NF2-loss, dysregulated Hippo-YAP pathway and worse survival. Overall design: Analysis of RNA from uRCC with or without NF2-loss</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE85897</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>27713405</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>parent_bioproject</TAG>
        <VALUE>PRJNA339856</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
