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Establishing standardized immune phenotyping of metastatic melanoma by digital pathology

Authors :
Bettina Sobottka
Marta Nowak
Anja Laura Frei
Martina Haberecker
Samuel Merki
Mitchell P. Levesque
Reinhard Dummer
Holger Moch
Viktor Hendrik Koelzer
Rudolf Aebersold
Melike Ak
Faisal S. Al-Quaddoomi
Jonas Albinus
Ilaria Alborelli
Sonali Andani
Per-Olof Attinger
Marina Bacac
Daniel Baumhoer
Beatrice Beck-Schimmer
Niko Beerenwinkel
Christian Beisel
Lara Bernasconi
Anne Bertolini
Bernd Bodenmiller
Ximena Bonilla
Ruben Casanova
Stéphane Chevrier
Natalia Chicherova
Maya D'Costa
Esther Danenberg
Natalie Davidson
Monica-Andreea Drăganmoch
Stefanie Engler
Martin Erkens
Katja Eschbach
Cinzia Esposito
André Fedier
Pedro Ferreira
Joanna Ficek
Bruno Frey
Sandra Goetze
Linda Grob
Gabriele Gut
Detlef Günther
Pirmin Haeuptle
Viola Heinzelmann-Schwarz
Sylvia Herter
Rene Holtackers
Tamara Huesser
Anja Irmisch
Francis Jacob
Andrea Jacobs
Tim M. Jaeger
Katharina Jahn
Alva R. James
Philip M. Jermann
André Kahles
Abdullah Kahraman
Werner Kuebler
Jack Kuipers
Christian P. Kunze
Christian Kurzeder
Kjong-Van Lehmann
Sebastian Lugert
Gerd Maass
Markus G. Manz
Philipp Markolin
Julien Mena
Ulrike Menzel
Julian M. Metzler
Nicola Miglino
Emanuela S. Milani
Simone Muenst
Riccardo Murri
Charlotte K.Y. Ng
Stefan Nicolet
Patrick G.A. Pedrioli
Lucas Pelkmans
Salvatore Piscuoglio
Michael Prummer
Mathilde Ritter
Christian Rommel
María L. Rosano-González
Gunnar Rätsch
Natascha Santacroce
Jacobo Sarabia del Castillo
Ramona Schlenker
Petra C. Schwalie
Severin Schwan
Tobias Schär
Gabriela Senti
Franziska Singer
Sujana Sivapatham
Berend Snijder
Vipin T. Sreedharan
Stefan Stark
Daniel J. Stekhoven
Alexandre P.A. Theocharides
Tinu M. Thomas
Markus Tolnay
Vinko Tosevski
Nora C. Toussaint
Mustafa A. Tuncel
Marina Tusup
Audrey Van Drogen
Marcus Vetter
Tatjana Vlajnic
Sandra Weber
Walter P. Weber
Rebekka Wegmann
Michael Weller
Fabian Wendt
Norbert Wey
Andreas Wicki
Mattheus HE Wildschut
Bernd Wollscheid
Shuqing Yu
Johanna Ziegler
Marc Zimmermann
Martin Zoche
Gregor Zuend
University of Zurich
Sobottka-Brillout, Bettina
Koelzer, Viktor Hendrik
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.

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