<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE206838" accession="SRP383380">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP383380</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA852282</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE206838</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Next Generation Sequencing of hormone receptor-positive and triple negative primary breast cancer tumors</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>In order to identify relevant targets for cancer immunotherapy in breast cancer, we characterized the immunopeptidome of 26 primary breast cancer samples with a proteogenomic approach relying on RNA-seq and mass spectrometry (MS). We were able to describe the landscape of MHC-I associated peptides presented by breast cancer tumors. Furthermore, bioinformatic analysis allowed us to identify tumor-specific and tumor associated antigens, which can be used for the development of anti-cancer vaccines or as targets for engineered T-cells. Overall design: mRNA sequencing was performed on hormone receptor-positive (n=14) or triple negative (n=12) primary breast cancer tumors.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE206838</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
  </STUDY>
</STUDY_SET>
