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A method for semi-automated image analysis of HLA class I tumour epithelium expression in rectal cancer
- Source :
- European Journal of Histochemistry : EJH, European Journal of Histochemistry, 63(2), 88-95, European Journal of Histochemistry, Vol 63, Iss 2 (2019)
- Publication Year :
- 2019
- Publisher :
- PAGEPress Publications, 2019.
-
Abstract
- Biomarkers may hold the key towards development and improvement of personalized cancer treatment. For instance, tumour expression of immune system-related proteins may reveal the tumour immune status and, accordingly, determine choice for type of immunotherapy. Therefore, objective evaluation of tumour biomarker expression is needed but often challenging. For instance, human leukocyte antigen (HLA) class I tumour epithelium expression is cumbersome to quantify by eye due to its presence on both tumour epithelial cells and tumour stromal cells, as well as tumour-infiltrating immune cells. In this study, we solved this problem by setting up an immunohistochemical (IHC) double staining using a tissue microarray (TMA) of rectal tumours wherein HLA class I expression was coloured with a blue chromogen, whereas non-epithelial tissue was visualized with a brown chromogen. We subsequently developed a semi-automated image analysis method that identified tumour epithelium as well as the percentage of HLA class I-positive tumour epithelium. Using this technique, we compared HCA2/HC10 and EMR8-5 antibodies for the assessment of HLA class I tumour expression and concluded that EMR8-5 is the superior antibody for this purpose. This IHC double staining can in principle be used for scoring of any biomarker expressed by tumour epithelium.
- Subjects :
- 0301 basic medicine
Histology
Stromal cell
cross-reactivity
medicine.medical_treatment
Biophysics
Human leukocyte antigen
Epithelium
Automated image analysis
tumour epithelium
Antibodies, Monoclonal, Murine-Derived
Mice
03 medical and health sciences
0302 clinical medicine
MHC class I
Biomarkers, Tumor
medicine
Animals
Humans
lcsh:QH301-705.5
Original Paper
Tissue microarray
biology
Rectal Neoplasms
business.industry
Histocompatibility Antigens Class I
biomarkers
Cell Biology
Immunotherapy
Immunohistochemistry
030104 developmental biology
medicine.anatomical_structure
lcsh:Biology (General)
Tissue Array Analysis
030220 oncology & carcinogenesis
biology.protein
Cancer research
Rabbits
Antibody
digital pathology
business
Subjects
Details
- ISSN :
- 20388306 and 1121760X
- Volume :
- 63
- Database :
- OpenAIRE
- Journal :
- European Journal of Histochemistry
- Accession number :
- edsair.doi.dedup.....ac464fc213520daf7f47e7b7763434cb