Literature DB >> 19475154

Characterization of Barrett esophagus and esophageal adenocarcinoma by Fourier-transform infrared microscopy.

Luca Quaroni1, Alan G Casson.   

Abstract

The objective of this exploratory study was to evaluate the feasibility of using Fourier-Transform Infrared (FTIR) spectromicroscopy to characterize formalin-fixed, paraffin-embedded human esophageal tissues. Matched histologically normal esophageal squamous epithelium (NS), premalignant Barrett esophagus (BE), and primary esophageal adenocarcinoma (EADC) tissues, each defined according to strict clinicopathologic criteria, were obtained from patients who underwent esophageal resection. Using confocal IR microscopy, measurements in the mid-IR spectral region were carried out in transflection configuration, scanning regions of interest in 15 microm steps. A multidimensional dataset reporting the spectroscopic properties at each sampled point were analyzed by performing a hierarchical cluster analysis on the second derivative of spectral traces. Normal esophageal epithelia were characterized by a few well defined regions, mostly of large size (tens of contiguous pixels), which correlated with tissue histology, specifically the basal cell layer. BE tissues had characteristic regions localized to gland crypts, ranging in size from one pixel to a few tens of pixels, which displayed IR spectra with defined absorption features characteristic of glycoproteins. The incorporation of synchrotron light to improve the resolution of individual cells in BE tissues has demonstrated that these glycoproteins are associated with goblet cells, the characteristic cell type defining BE. Whereas the highly fragmented regions identified in EADC likely reflect tumor heterogeneity, FTIR mapping would appear to be a potentially useful technique to identify premalignant BE tissues. The technical feasibility of using FTIR to characterize formalin-fixed, paraffin-embedded human esophageal tissues demonstrates the potential of this technique to study archival human BE tissue specimens via automated screening techniques.

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Year:  2009        PMID: 19475154     DOI: 10.1039/b823071d

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  3 in total

1.  Automated cytological detection of Barrett's neoplasia with infrared spectroscopy.

Authors:  Oliver Old; Gavin Lloyd; Martin Isabelle; L Max Almond; Catherine Kendall; Karol Baxter; Neil Shepherd; Angela Shore; Nick Stone; Hugh Barr
Journal:  J Gastroenterol       Date:  2017-05-13       Impact factor: 7.527

2.  Retinal oxidative stress at the onset of diabetes determined by synchrotron FTIR widefield imaging: towards diabetes pathogenesis.

Authors:  Ebrahim Aboualizadeh; Mahsa Ranji; Christine M Sorenson; Reyhaneh Sepehr; Nader Sheibani; Carol J Hirschmugl
Journal:  Analyst       Date:  2017-03-27       Impact factor: 4.616

3.  Infrared spectroscopy and microscopy in cancer research and diagnosis.

Authors:  Giuseppe Bellisola; Claudio Sorio
Journal:  Am J Cancer Res       Date:  2011-11-22       Impact factor: 6.166

  3 in total

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