Label-free, automated classification of microsatellite status in colorectal cancer by infrared imaging

Challenging histopathological diagnostics in cancer include microsatellite instability-high (MSI-H) colorectal cancer (CRC), which occurs in 15% of early-stage CRC and is caused by a deficiency in the mismatch repair system. The diagnosis of MSI-H cannot be reliably achieved by visual inspection of...

Full description

Saved in:
Bibliographic Details
Published in:Scientific reports 2020-06, Vol.10 (1), p.10161-10161, Article 10161
Main Authors: Kallenbach-Thieltges, Angela, Großerueschkamp, Frederik, Jütte, Hendrik, Kuepper, Claus, Reinacher-Schick, Anke, Tannapfel, Andrea, Gerwert, Klaus
Format: Article
Language:English
Subjects:
631/67/1504/1885
631/67/2321
692/699/67/1504/1885
692/699/67/2321
96/63
Cancer
Colorectal cancer
Colorectal carcinoma
Colorectal Neoplasms - diagnostic imaging
Colorectal Neoplasms - etiology
Colorectal Neoplasms - genetics
Colorectal Neoplasms - pathology
DNA Mismatch Repair
Feasibility Studies
Humanities and Social Sciences
Humans
Immunohistochemistry
Immunohistochemistry - methods
Infrared imaging
Infrared Rays
Lasers, Semiconductor
Microsatellite Instability
Mismatch repair
multidisciplinary
Neoplasm Staging
Science
Science (multidisciplinary)
Spectroscopy, Fourier Transform Infrared - methods
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Challenging histopathological diagnostics in cancer include microsatellite instability-high (MSI-H) colorectal cancer (CRC), which occurs in 15% of early-stage CRC and is caused by a deficiency in the mismatch repair system. The diagnosis of MSI-H cannot be reliably achieved by visual inspection of a hematoxylin and eosin stained thin section alone, but additionally requires subsequent molecular analysis. Time- and sample-intensive immunohistochemistry with subsequent fragment length analysis is used. The aim of the presented feasibility study is to test the ability of quantum cascade laser (QCL)-based infrared (IR) imaging as an alternative diagnostic tool for MSI-H in CRC. We analyzed samples from 100 patients with sporadic CRC UICC stage II and III. Forty samples were used to develop the random forest classifier and 60 samples to verify the results on an independent blinded dataset. Specifically, 100% sensitivity and 93% specificity were achieved based on the independent 30 MSI-H- and 30 microsatellite stable (MSS)-patient validation cohort. This showed that QCL-based IR imaging is able to distinguish between MSI-H and MSS for sporadic CRC - a question that goes beyond morphological features - based on the use of spatially resolved infrared spectra used as biomolecular fingerprints.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-020-67052-z