Literature DB >> 18847281

IR spectral imaging for histopathological characterization of xenografted human colon carcinomas.

Rolf Wolthuis1, Adrian Travo, Céline Nicolet, Agnès Neuville, Marie-Pierre Gaub, Dominique Guenot, Elodie Ly, Michel Manfait, Pierre Jeannesson, Olivier Piot.   

Abstract

This study aims to develop IR imaging of tumor tissues for generating an automated IR-based histology. Formalin-fixed paraffin-embedded xenografts of human colon carcinomas were analyzed. Chemometric and statistical multivariate treatments of spectral data permitted to probe the intrinsic chemical composition of tissues, directly from paraffinized sections without previous dewaxing. Reconstructed color-coded spectral images revealed a marked tumor heterogeneity. We identified three spectral clusters associated to tumoral tissues, whereas HE staining revealed only a single structure. Nine other clusters were assigned to either necrotic or host tissues. This spectral histology proved to be consistent over multiple passages of the same xenografted tumor confirming that intratumoral heterogeneity was maintained over time. In addition, developing an innovative image analysis, based on the quantification of neighboring pixels, permitted the identification of two main sequences of spectral clusters related to the tissue spatial organization. Molecular attribution of the spectral differences between the tumor clusters revealed differences of transcriptional activity within these tumor tissue subtypes. In conclusion, IR spectral imaging proves to be highly effective both for reproducible tissue subtype recognition and for tumor heterogeneity characterization. This may represent an attractive tool for routine high throughput diagnostic challenges, independent from visual morphology.

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Year:  2008        PMID: 18847281     DOI: 10.1021/ac801191x

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  7 in total

1.  Renal Graft Fibrosis and Inflammation Quantification by an Automated Fourier-Transform Infrared Imaging Technique.

Authors:  Vincent Vuiblet; Michael Fere; Cyril Gobinet; Philippe Birembaut; Olivier Piot; Philippe Rieu
Journal:  J Am Soc Nephrol       Date:  2015-12-18       Impact factor: 10.121

2.  Statistical Considerations and Tools to Improve Histopathologic Protocols with Spectroscopic Imaging.

Authors:  Shachi Mittal; Jonathan Kim; Rohit Bhargava
Journal:  Appl Spectrosc       Date:  2022-03-16       Impact factor: 3.588

Review 3.  Extracting knowledge from chemical imaging data using computational algorithms for digital cancer diagnosis.

Authors:  Saumya Tiwari; Rohit Bhargava
Journal:  Yale J Biol Med       Date:  2015-06-01

4.  Mid-Infrared Imaging Is Able to Characterize and Separate Cancer Cell Lines.

Authors:  E Kontsek; A Pesti; M Björnstedt; T Üveges; E Szabó; T Garay; P Gordon; S Gergely; A Kiss
Journal:  Pathol Oncol Res       Date:  2020-06-16       Impact factor: 3.201

5.  Analysis of Hepatic Fibrosis Characteristics in Cirrhotic Patients with and without Hepatocellular Carcinoma by FTIR Spectral Imaging.

Authors:  Johanna Moreau; Pascaline Bouzy; Julien Guillard; Valérie Untereiner; Roselyne Garnotel; Aude Marchal; Cyril Gobinet; Christine Terryn; Ganesh D Sockalingum; Gérard Thiéfin
Journal:  Molecules       Date:  2020-09-07       Impact factor: 4.411

6.  Identification of Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer by Fourier-Transform Infrared Micro-Imaging.

Authors:  Camille Mazza; Vincent Gaydou; Jean-Christophe Eymard; Philippe Birembaut; Valérie Untereiner; Jean-François Côté; Isabelle Brocheriou; David Coeffic; Philippe Villena; Stéphane Larré; Vincent Vuiblet; Olivier Piot
Journal:  Cancers (Basel)       Date:  2021-12-21       Impact factor: 6.639

7.  New insights into spectral histopathology: infrared-based scoring of tumour aggressiveness of squamous cell lung carcinomas.

Authors:  Vincent Gaydou; Myriam Polette; Cyril Gobinet; Claire Kileztky; Jean-François Angiboust; Philippe Birembaut; Vincent Vuiblet; Olivier Piot
Journal:  Chem Sci       Date:  2019-03-05       Impact factor: 9.825

  7 in total

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