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Derivation of a subtype-specific biochemical signature of endometrial carcinoma using synchrotron-based Fourier-transform infrared microspectroscopy

Authors :
Helen F. Stringfellow
Maneesh N. Singh
Francis Martin
Pierre L. Martin-Hirsch
Fariba Bahrami
Katherine M. Ashton
Mark A. Pitt
Michael J. Walsh
Jemma G. Kelly
James M. Nicholson
Source :
Cancer Letters. 274:208-217
Publication Year :
2009
Publisher :
Elsevier BV, 2009.

Abstract

Endometrial carcinoma consists of endometrioid (type I) and serous papillary (SP; type II) subtypes; a rarer form is malignant mixed mullerian tumours (MMMT; type II/mixed). We set out to determine whether one might be able to biochemically signature these subtypes using Fourier-transform infrared (FTIR) microspectroscopy and distinguish non-tamoxifen associated from tamoxifen-associated cases. Paraffin-embedded blocks were obtained from non-tamoxifen associated cases reported as endometrioid (n=7), SP (n=4) or MMMT (n=4). From tamoxifen-associated cases, endometrioid (n=1), SP (n=3) and MMMT (n=4) blocks were retrieved; benign tissues (n=3) were also analysed. Exploiting synchrotron-based radiation, sections (10-microm thick) on BaF(2) windows were interrogated through a 10 microm x 10 microm aperture. Point spectra were derived from >or=10 locations in each of six glandular elements per tissue; a further 20 stromal spectra were obtained. Following normalisation to Amide I, average spectra (1800-900 cm(-1)) per gland or stroma were analysed for variance using principal component analysis (PCA) and linear discriminant analysis (LDA). In scores plots, segregation of spectra from different subtypes or benign tissues was noted and it proved possible to distinguish tamoxifen-associated cases. In the PCA-LDA loadings plots, the wavenumbers that highlighted variance for benign or endometrioid carcinoma tissues were in the protein region (1800-1480 cm(-1)) whereas those contributing most to SP or MMMT segregation were primarily in the DNA/RNA region (1425-900 cm(-1)) of the vibrational spectrum. Our results suggest that the application of FTIR microspectroscopy is a powerful new approach in disease diagnosis and characterisation.

Details

ISSN :
03043835
Volume :
274
Database :
OpenAIRE
Journal :
Cancer Letters
Accession number :
edsair.doi.dedup.....3153b303ae7db464cebcb6cb758e9bbf
Full Text :
https://doi.org/10.1016/j.canlet.2008.09.018