Spatial immunoprofiling of the intratumoral and peritumoral tissue of renal cell carcinoma patients

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Bruck , O , Lee , M H , Turkki , R , Uski , I , Penttilä , P , Paavolainen , L , Kovanen , P , Järvinen , P , Bono , P , Pellinen , T , Mustjoki , S & Kreutzman , A 2021 , ' Spatial immunoprofiling of the intratumoral and peritumoral tissue of renal cell carcinoma patients ' , Modern Pathology , vol. 34 , no. 12 , pp. 2229-2241 . https://doi.org/10.1038/s41379-021-00864-0

Title: Spatial immunoprofiling of the intratumoral and peritumoral tissue of renal cell carcinoma patients
Author: Bruck, Oscar; Lee, Moon Hee; Turkki, Riku; Uski, Ilona; Penttilä, Patrick; Paavolainen, Lassi; Kovanen, Panu; Järvinen, Petrus; Bono, Petri; Pellinen, Teijo; Mustjoki, Satu; Kreutzman, Anna
Contributor organization: TRIMM - Translational Immunology Research Program
Research Programs Unit
Digital Precision Cancer Medicine (iCAN)
HUS Comprehensive Cancer Center
Department of Oncology
Hematologian yksikkö
Institute for Molecular Medicine Finland
Helsinki Institute of Life Science HiLIFE
Urologian yksikkö
HUS Abdominal Center
HUSLAB
Department of Pathology
Medicum
University of Helsinki
Clinicum
Department of Surgery
Heikki Joensuu / Principal Investigator
Precision Systems Medicine
Department of Clinical Chemistry and Hematology
Bioimage Profiling
Date: 2021-12
Language: eng
Number of pages: 13
Belongs to series: Modern Pathology
ISSN: 0893-3952
DOI: https://doi.org/10.1038/s41379-021-00864-0
URI: http://hdl.handle.net/10138/340487
Abstract: While the abundance and phenotype of tumor-infiltrating lymphocytes are linked with clinical survival, their spatial coordination and its clinical significance remain unclear. Here, we investigated the immune profile of intratumoral and peritumoral tissue of clear cell renal cell carcinoma patients (n = 64). We trained a cell classifier to detect lymphocytes from hematoxylin and eosin stained tissue slides. Using unsupervised classification, patients were further classified into immune cold, hot and excluded topographies reflecting lymphocyte abundance and localization. The immune topography distribution was further validated with The Cancer Genome Atlas digital image dataset. We showed association between PBRM1 mutation and immune cold topography, STAG1 mutation and immune hot topography and BAP1 mutation and immune excluded topography. With quantitative multiplex immunohistochemistry we analyzed the expression of 23 lymphocyte markers in intratumoral and peritumoral tissue regions. To study spatial interactions, we developed an algorithm quantifying the proportion of adjacent immune cell pairs and their immunophenotypes. Immune excluded tumors were associated with superior overall survival (HR 0.19, p = 0.02) and less extensive metastasis. Intratumoral T cells were characterized with pronounced expression of immunological activation and exhaustion markers such as granzyme B, PD1, and LAG3. Immune cell interaction occurred most frequently in the intratumoral region and correlated with CD45RO expression. Moreover, high proportion of peritumoral CD45RO+ T cells predicted poor overall survival. In summary, intratumoral and peritumoral tissue regions represent distinct immunospatial profiles and are associated with clinicopathologic characteristics.
Subject: UP-REGULATION
EXPRESSION
BLOCKADE
3111 Biomedicine
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


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