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Quantitative digital image analysis of somatostatin receptor 2 immunohistochemistry in pancreatic neuroendocrine tumors
- Source :
- Medical Molecular Morphology. 54:324-336
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Immunohistochemical analysis of somatostatin receptor 2 (SSTR2) provides important information regarding the potential therapeutic efficacy of somatostatin analogues (SSAs) in patients with neuroendocrine tumors. HER2 scoring has been proposed to interpret SSTR2 immunoreactivity but their reproducibility was relatively low because of its intrinsic subjective nature. Digital image analysis (DIA) has recently been proposed as an objective and more precise method of evaluating immunoreactivity. Therefore, in this study, we used DIA for analyzing SSTR2 immunoreactivity in pancreatic neuroendocrine tumors (PanNETs) to obtain its H score and "(%) strong positive cells" and compared the results with those of manually obtained HER2 scores. Membranous SSTR2 immunoreactivity evaluated by DIA was calculated by two scales as: "Membrane Optical Density" and "Minimum Membrane Completeness". PanNETs with HER2 score of > 2 demonstrated the highest concordance with results of "(%) strong positive cells" obtained by DIA when "Minimum Membrane Completeness" was tentatively set at 80%. The SSTR2 immunoreactivity, evaluated based on all scoring systems, was different between grades G1 and G2 in insulinoma but not in non-functional PanNETs. DIA provided reproducible results of SSTR2 immunoreactivity in PanNETs and yielded important information as to the potential application of SSAs.
- Subjects :
- Pathology
medicine.medical_specialty
business.industry
Reproducibility of Results
General Medicine
Optical density
Neuroendocrine tumors
medicine.disease
Immunohistochemistry
Pathology and Forensic Medicine
Pancreatic Neoplasms
Neuroendocrine Tumors
Somatostatin
Digital image analysis
medicine
Humans
Somatostatin receptor 2
In patient
Receptors, Somatostatin
business
Molecular Biology
Insulinoma
Subjects
Details
- ISSN :
- 18601499 and 18601480
- Volume :
- 54
- Database :
- OpenAIRE
- Journal :
- Medical Molecular Morphology
- Accession number :
- edsair.doi.dedup.....adc498b1efb84094f5d24d624f1b953e
- Full Text :
- https://doi.org/10.1007/s00795-021-00294-6