Journal of Pathology Informatics (Jan 2016)

Oxygen supply maps for hypoxic microenvironment visualization in prostate cancer

  • Niels J Rupp,
  • Peter J Schuffler,
  • Qing Zhong,
  • Florian Falkner,
  • Markus Rechsteiner,
  • Jan H Ruschoff,
  • Christian Fankhauser,
  • Matthias Drach,
  • Remo Largo,
  • Mathias Tremp,
  • Cedric Poyet,
  • Tullio Sulser,
  • Glen Kristiansen,
  • Holger Moch,
  • Joachim Buhmann,
  • Michael Muntener,
  • Peter J Wild

DOI
https://doi.org/10.4103/2153-3539.175376
Journal volume & issue
Vol. 7, no. 1
pp. 3 – 3

Abstract

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Background: Intratumoral hypoxia plays an important role with regard to tumor biology and susceptibility to radio. and chemotherapy. For further investigation of hypoxia.related changes, areas of certain hypoxia must be reliably detected within cancer tissues. Pimonidazole, a 2.nitroimindazole, accumulates in hypoxic tissue and can be easily visualized using immunohistochemistry. Materials and Methods: To improve detection of highly hypoxic versus normoxic areas in prostate cancer, immunoreactivity of pimonidazole and a combination of known hypoxia.related proteins was used to create computational oxygen supply maps of prostate cancer. Pimonidazole was intravenously administered before radical prostatectomy in n = 15 patients, using the da Vinci robot.assisted surgical system. Prostatectomy specimens were immediately transferred into buffered formaldehyde, fixed overnight, and completely embedded in paraffin. Pimonidazole accumulation and hypoxia.related protein expression were visualized by immunohistochemistry. Oxygen supply maps were created using the normalized information from pimonidazole and hypoxia.related proteins. Results: Based on pimonidazole staining and other hypoxia.related proteins (osteopontin, hypoxia.inducible factor 1.alpha, and glucose transporter member 1) oxygen supply maps in prostate cancer were created. Overall, oxygen supply maps consisting of information from all hypoxia.related proteins showed high correlation and mutual information to the golden standard of pimonidazole. Here, we describe an improved computer.based ex vivo model for an accurate detection of oxygen supply in human prostate cancer tissue. Conclusions: This platform can be used for precise colocalization of novel candidate hypoxia.related proteins in a representative number of prostate cancer cases, and improve issues of single marker correlations. Furthermore, this study provides a source for further in situ tests and biochemical investigations

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