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Establishing standardized immune phenotyping of metastatic melanoma by digital pathology
- Source :
- Laboratory Investigation; a Journal of Technical Methods and Pathology
- Publication Year :
- 2021
- Publisher :
- Nature Publishing Group, 2021.
-
Abstract
- CD8+ tumor-infiltrating T cells can be regarded as one of the most relevant predictive biomarkers in immune-oncology. Highly infiltrated tumors, referred to as inflamed (clinically “hot”), show the most favorable response to immune checkpoint inhibitors in contrast to tumors with a scarce immune infiltrate called immune desert or excluded (clinically “cold”). Nevertheless, quantitative and reproducible methods examining their prevalence within tumors are lacking. We therefore established a computational diagnostic algorithm to quantitatively measure spatial densities of tumor-infiltrating CD8+ T cells by digital pathology within the three known tumor compartments as recommended by the International Immuno-Oncology Biomarker Working Group in 116 prospective metastatic melanomas of the Swiss Tumor Profiler cohort. Workflow robustness was confirmed in 33 samples of an independent retrospective validation cohort. The introduction of the intratumoral tumor center compartment proved to be most relevant for establishing an immune diagnosis in metastatic disease, independent of metastatic site. Cut-off values for reproducible classification were defined and successfully assigned densities into the respective immune diagnostic category in the validation cohort with high sensitivity, specificity, and precision. We provide a robust diagnostic algorithm based on intratumoral and stromal CD8+ T-cell densities in the tumor center compartment that translates spatial densities of tumor-infiltrating CD8+ T cells into the clinically relevant immune diagnostic categories “inflamed”, “excluded”, and “desert”. The consideration of the intratumoral tumor center compartment allows immune phenotyping in the clinically highly relevant setting of metastatic lesions, even if the invasive margin compartment is not captured in biopsy material.<br />The authors present a robust diagnostic algorithm based on digital pathology and image analysis that quantifies intratumoral and stromal CD8+ T-cell densities in the tumor center and invasive margin compartment in metastatic melanoma. Spatial CD8+ T-cell densities are translated into the clinically relevant immune diagnostic categories “inflamed”, “excluded”, and “desert”. Their approach also allows efficient immune phenotyping of metastatic lesions, on biopsy material or even in the absence of material from the invasive margin.
- Subjects :
- Pathology
medicine.medical_specialty
Stromal cell
610 Medicine & health
Disease
Predictive markers
Article
Pathology and Forensic Medicine
1307 Cell Biology
Immune system
10049 Institute of Pathology and Molecular Pathology
1312 Molecular Biology
Medicine
Compartment (pharmacokinetics)
Molecular Biology
Melanoma
business.industry
10177 Dermatology Clinic
Digital pathology
10060 Epidemiology, Biostatistics and Prevention Institute (EBPI)
Cell Biology
Biomarker (cell)
2734 Pathology and Forensic Medicine
10032 Clinic for Oncology and Hematology
Cohort
Imaging the immune system
business
CD8
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Laboratory Investigation; a Journal of Technical Methods and Pathology
- Accession number :
- edsair.doi.dedup.....8d74ecfeeb15c1b4897606a94b52a648
- Full Text :
- https://doi.org/10.5167/uzh-206260