IR spectral imaging of secreted mucus: a promising new tool for the histopathological recognition of human colonic adenocarcinomas

粘蛋白 粘液 病理 组织学 染色 生物 癌变 MUC1号 化学 癌症 医学 生态学 遗传学
作者
Adrian Travo,Olivier Piot,Rolf Wolthuis,Cyril Gobinet,Michel Manfait,Jacques Bara,Marie‐Elisabeth Forgue‐Lafitte,Pierre Jeannesson
出处
期刊:Histopathology [Wiley]
卷期号:56 (7): 921-931 被引量:58
标识
DOI:10.1111/j.1365-2559.2010.03563.x
摘要

Travo A, Piot O, Wolthuis R, Gobinet C, Manfait M, Bara J, Forgue‐Lafitte M‐E & Jeannesson P (2010) Histopathology 56, 921–931 IR spectral imaging of secreted mucus: a promising new tool for the histopathological recognition of human colonic adenocarcinomas Aims: During colonic carcinogenesis, mucin‐type glycoproteins are known to undergo quantitative and qualitative alterations. The aim of this study was to determine the value of infrared (IR) spectral histology for the histopathological recognition of colonic adenocarcinomas based on mucin‐associated IR spectral markers. Methods and results: Paraffin‐embedded tissue sections of normal human colon and adenocarcinomas were analysed directly by IR‐microspectroscopy (IR‐MSP), without prior chemical dewaxing. IR‐MSP imaging combined with multivariate analysis permitted the construction of IR colour‐coded images of the tissue sections providing spatially resolved biochemical information. This allowed localization of mucin‐rich areas and provided label‐free spectral‐based staining of secreted mucus related to the biochemical heterogeneity of its mucin content. IR images of secreted mucus display the same spectral clusters in both normal and adenocarcinomatous colonic tissues, but with significant differences in surface percentages. Such differences allow a distinction between these two tissue types. Spectral variations associated with changes of mucin secondary structure were the most accurate mucus spectral marker for discriminating between normal colon and adenocarcinomas in the sample set. Conclusions: IR‐MSP imaging provides a new type of histology, independent of visual morphology, presenting tremendous possibilities for discovery and clinical monitoring of cancer markers.
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