Digital image analysis of multiplex fluorescence IHC in colorectal cancer recognizes the prognostic value of CDX2 and its negative correlation with SOX2

• Type: Article in International Scientific Journal
• Date: 2020

Authors

Lopes, N (Author) Other; Bergsland, CH (Author) Other; Bjornslett, M (Author) Other; Pellinen, T (Author) Other; Svindland, A (Author) Other; Nesbakken, A (Author) Other; Raquel Almeida (Author) FCUP; Lothe, RA (Author) Other; David L (Author) FMUP; Bruun, J (Author) Other

Journal

Title: Laboratory Investigation

Vol. 100

Pages: 120-134

ISSN: 0023-6837

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 10 Citations

Scopus - 13 Citations

Other information

Authenticus ID: P-00R-8EB

DOI: 10.1038/s41374-019-0336-4

Abstract (EN): Flourescence-based multiplex immunohistochemistry (mIHC) combined with multispectral imaging and digital image analysis (DIA) is a quantitative high-resolution method for determination of protein expression in tissue. We applied this method for five biomarkers (CDX2, SOX2, SOX9, E-cadherin, and beta-catenin) using tissue microarrays of a Norwegian unselected series of primary colorectal cancer. The data were compared with previously obtained chromogenic IHC data of the same tissue cores, visually assessed by the Allred method. We found comparable results between the methods, although confirmed that DIA offered improved resolution to differentiate cases with high and low protein expression. However, we experienced inherent challenges with digital image analysis of membrane staining, which was better assessed visually. DIA and mIHC enabled quantitative analysis of biomarker coexpression on the same tissue section at the single-cell level, revealing a strong negative correlation between the differentiation markers CDX2 and SOX2. Both methods confirmed known prognostic associations for CDX2, but DIA improved data visualization and detection of clinicopathological and biological associations. In summary, mIHC combined with DIA is an efficient and reliable method to evaluate protein expression in tissue, here shown to recapitulate and improve detection of known clinicopathological and survival associations for the emerging biomarker CDX2, and is therefore a candidate approach to standardize CDX2 detection in pathology laboratories.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 15