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Label-free differentiation of human pituitary adenomas by FT-IR spectroscopic imaging

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Abstract

Fourier transform infrared (FT-IR) spectroscopic imaging has been used to characterize different types of pituitary gland tumors and normal pituitary tissue. Freshly resected tumor tissue from surgery was prepared as thin cryosections and examined by FT-IR spectroscopic imaging. Tissue types were discriminated via k-means cluster analysis and a supervised classification algorithm based on linear discriminant analysis. Spectral classification allowed us to discriminate between tumor and non-tumor cells, as well as between tumor cells that produce human growth hormone (hGH+) and tumor cells that do not produce that hormone (hGH−).The spectral classification was compared and contrasted with a histological PAS and orange G stained image. It was further shown that hGH+ pituitary tumor cells show stronger amide bands than tumor cells that do not produce hGH. This study demonstrates that FT-IR spectroscopic imaging can not only potentially serve as a fast and objective approach for discriminating pituitary gland tumors from normal tissue, but that it can also detect hGH-producing tumor cells.

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Acknowledgments

This work was supported by the Federal Ministry of Education and Research, Germany (no. 13N10777). The authors thank Elke Leipnitz for her excellent technical assistance.

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Authors and Affiliations

  1. Faculty of Medicine Carl Gustav Carus, Dresden University of Technology, Clinical Sensoring and Monitoring, 01307, Dresden, Germany

    Gerald Steiner, Allison Stelling & Edmund Koch

  2. Department of Neurosurgery, Dresden University of Technology, Faculty of Medicine Carl Gustav Carus, 01307, Dresden, Germany

    Luisa Mackenroth, Thomas Pinzer, Ortrud Uckermann, Gabriele Schackert & Matthias Kirsch

  3. Department of Neuropathology, Dresden University of Technology, Faculty of Medicine Carl Gustav Carus, Institute for Pathology, 01307, Dresden, Germany

    Kathrin D. Geiger

  4. Department of General Physics and Spectroscopy, Vilnius University, Faculty of Physics, 10222, Vilnius, Lithuania

    Gerald Steiner & Valdas Sablinskas

Authors
  1. Gerald Steiner
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  2. Luisa Mackenroth
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  3. Kathrin D. Geiger
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  4. Allison Stelling
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  5. Thomas Pinzer
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  7. Valdas Sablinskas
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  8. Gabriele Schackert
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  9. Edmund Koch
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  10. Matthias Kirsch
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Corresponding author

Correspondence to Matthias Kirsch.

Additional information

This paper is dedicated to Professor Reiner Salzer on the occasion of his 70th birthday to honor his substantial achievements in analytical chemistry and vibrational spectroscopy.

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Steiner, G., Mackenroth, L., Geiger, K.D. et al. Label-free differentiation of human pituitary adenomas by FT-IR spectroscopic imaging. Anal Bioanal Chem 403, 727–735 (2012). https://doi.org/10.1007/s00216-012-5824-y

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  • DOI: https://doi.org/10.1007/s00216-012-5824-y

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