PMID- 31113192
OWN - NLM
STAT- MEDLINE
DCOM- 20190604
LR  - 20200225
IS  - 2038-8306 (Electronic)
IS  - 1121-760X (Print)
IS  - 1121-760X (Linking)
VI  - 63
IP  - 2
DP  - 2019 May 20
TI  - A method for semi-automated image analysis of HLA class I tumour epithelium 
      expression in rectal cancer.
LID - 10.4081/ejh.2019.3028 [doi]
LID - 3028
AB  - 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.
FAU - Krijgsman, Danielle
AU  - Krijgsman D
AD  - Department of Surgery, Leiden University Medical Centre, Leiden. 
      d.krijgsman@lumc.nl.
FAU - Van Vlierberghe, Ronald L P
AU  - Van Vlierberghe RLP
FAU - Evangelou, Vaios
AU  - Evangelou V
FAU - Vahrmeijer, Alexander L
AU  - Vahrmeijer AL
FAU - Van de Velde, Cornelis J H
AU  - Van de Velde CJH
FAU - Sier, Cornelis F M
AU  - Sier CFM
FAU - Kuppen, Peter J K
AU  - Kuppen PJK
LA  - eng
PT  - Journal Article
DEP - 20190520
PL  - Italy
TA  - Eur J Histochem
JT  - European journal of histochemistry : EJH
JID - 9207930
RN  - 0 (Antibodies, Monoclonal, Murine-Derived)
RN  - 0 (Biomarkers, Tumor)
RN  - 0 (Histocompatibility Antigens Class I)
SB  - IM
MH  - Animals
MH  - Antibodies, Monoclonal, Murine-Derived/immunology
MH  - Biomarkers, Tumor/immunology/metabolism
MH  - Epithelium/metabolism
MH  - Histocompatibility Antigens Class I/immunology/*metabolism
MH  - Humans
MH  - Immunohistochemistry/methods
MH  - Mice
MH  - Rabbits
MH  - Rectal Neoplasms/*metabolism/pathology
MH  - Tissue Array Analysis
PMC - PMC6536912
COIS- Conflict of interest: the authors declare no conflict of interest.
EDAT- 2019/05/23 06:00
MHDA- 2019/06/05 06:00
PMCR- 2019/05/20
CRDT- 2019/05/23 06:00
PHST- 2019/03/22 00:00 [received]
PHST- 2019/04/20 00:00 [accepted]
PHST- 2019/05/23 06:00 [entrez]
PHST- 2019/05/23 06:00 [pubmed]
PHST- 2019/06/05 06:00 [medline]
PHST- 2019/05/20 00:00 [pmc-release]
AID - 10.4081/ejh.2019.3028 [doi]
PST - epublish
SO  - Eur J Histochem. 2019 May 20;63(2):3028. doi: 10.4081/ejh.2019.3028.