Journal article Open Access

Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers

Guo, Tiannan; Li, LI; Zhong, Qing; Rupp, Niels J; Charmpi, Konstantina; Wong, Christine E.; Wagner, Ulrich; Rueschoff, Jan H.; Jochum, Wolfram; Fankhauser, Christian Daniel; Saba, Karim; Poyet, Cedric; Wild, Peter J; Aebersold, Ruedi; Beyer, Andreas


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Guo, Tiannan</dc:creator>
  <dc:creator>Li, LI</dc:creator>
  <dc:creator>Zhong, Qing</dc:creator>
  <dc:creator>Rupp, Niels J</dc:creator>
  <dc:creator>Charmpi, Konstantina</dc:creator>
  <dc:creator>Wong, Christine E.</dc:creator>
  <dc:creator>Wagner, Ulrich</dc:creator>
  <dc:creator>Rueschoff, Jan H.</dc:creator>
  <dc:creator>Jochum, Wolfram</dc:creator>
  <dc:creator>Fankhauser, Christian Daniel</dc:creator>
  <dc:creator>Saba, Karim</dc:creator>
  <dc:creator>Poyet, Cedric</dc:creator>
  <dc:creator>Wild, Peter J</dc:creator>
  <dc:creator>Aebersold, Ruedi</dc:creator>
  <dc:creator>Beyer, Andreas</dc:creator>
  <dc:date>2018-05-29</dc:date>
  <dc:description>It remains unclear to what extent tumor heterogeneity impacts on protein biomarker discovery.
Here, we quantified proteome intra-tissue heterogeneity (ITH) based on a multi-region analysis of prostate tissues using pressure cycling technology and SWATH mass spectrometry. We quantified 6,873 proteins and analyzed the ITH of 3,700 proteins. The level of ITH varied depending on proteins and tissue types. Benign tissues exhibited more complex ITH patterns than malignant tissues. Spatial variability of ten prostate biomarkers was validated by immunohistochemistry in an independent cohort (n=83) using tissue microarrays. PSA was preferentially variable in benign prostatic hyperplasia, while GDF15 substantially varied in prostate adenocarcinomas. Further, we found that DNA repair pathways exhibited a high degree of variability in tumorous tissues, which may contribute to the genetic heterogeneity of tumors. This study conceptually adds a new perspective to protein biomarker discovery: it suggests that recent technological progress should be exploited to quantify and account for spatial proteome variation to complement biomarker identification and utilization.</dc:description>
  <dc:identifier>https://zenodo.org/record/1471432</dc:identifier>
  <dc:identifier>10.26508/lsa.201800042</dc:identifier>
  <dc:identifier>oai:zenodo.org:1471432</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/668858/</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/precise</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>SWATH</dc:subject>
  <dc:subject>biomarker</dc:subject>
  <dc:subject>ITH</dc:subject>
  <dc:subject>tumors</dc:subject>
  <dc:subject>genetic heterogeneity</dc:subject>
  <dc:title>Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
</oai_dc:dc>
16
14
views
downloads
Views 16
Downloads 14
Data volume 30.8 MB
Unique views 15
Unique downloads 12

Share

Cite as