<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE137397" accession="SRP221564">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP221564</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA565370</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE137397</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>SWI/SNF inhibition leads to epigenetic reprogramming in rhabdoid tumor [ATAC-seq]</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Other"/>
      <STUDY_ABSTRACT>Rhabdoid tumor is a pediatric cancer characterized by the biallelic inactivation of SMARCB1, a subunit of the SWI/SNF chromatin remodeling complex. SMARCB1 inactivation leads to SWI/SNF redistribution to favor a proliferative dedifferentiated cellular state. Although this deletion is the known oncogenic driver, SWI/SNF therapeutic targeting remains a challenge. Here we show mithramycin and a second-generation analogue EC-8042 are effective in this tumor type. Mithramycin evicts SWI/SNF from chromatin triggering a cellular response characterized by chromatin compartment remodeling and promoter reprogramming. These effects lead to differentiation and marked xenograft tumor regressions in vivo. This study provides a therapeutic candidate for rhabdoid tumor and an approach that may be applicable to the more than 20% of cancers characterized by mutated SWI/SNF. Overall design: Three biological replicates per treatment and time point were sequenced; ATAC libraries were isolated from individual replicates.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE137397</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>33332735</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>parent_bioproject</TAG>
        <VALUE>PRJNA565374</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
