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The association between the tumor immune microenvironments and clinical outcome in low-grade, early-stage endometrial cancer patients

Author
López Janeiro, Álvaro; Villalba Esparza, María; Brizzi, María Emilia; Jiménez Sánchez, Daniel; Ruz Caracuel, Ignacio; Kadioglu, Ece; Masetto, Ivan; Goubert, Virginie; Garcia Ros, David; Melero, Ignacio; Peláez García, Alberto; Hardisson Hernáez, David Alonsountranslated; de Andrea, Carlos E.
Entity
UAM. Departamento de Anatomía Patológica
Publisher
Wiley
Date
2022-10-25
Citation
10.1002/path.6012
The Journal of Pathology 258.4 (2022): 426-436
 
 
 
ISSN
0022-3417 (print); 1096-9896 (online)
DOI
10.1002/path.6012
Funded by
CEA and IgM were funded by Fundación La Marató de TV3. This project was supported by grants from Partners of Choice Network from AstraZeneca and by the Instituto de Salud Carlos III (ISCIII) (PI17/01723 and PI21/00920), co-financed by the European Regional Development Fund ‘A way to achieve Europe’ (FEDER). We thank Marco Cassano (Lunaphore Technologies) for his help in writing the manuscript
Project
Gobierno de España. PI17/01723; Gobierno de España. PI21/00920
Editor's Version
https://doi.org/10.1002/path.6012
Subjects
Clinical outcome; Endometrial cancer; Immune microenvironment; Low grade; Multiplex quantitative immunofluorescence; Prognosis; Medicina
URI
http://hdl.handle.net/10486/705422
Rights
© 2022 The Authors

Licencia Creative Commons
Esta obra está bajo una Licencia Creative Commons Atribución 4.0 Internacional.

Abstract

Endometrial tumors show substantial heterogeneity in their immune microenvironment. This heterogeneity could be used to improve the accuracy of current outcome prediction tools. We assessed the immune microenvironment of 235 patients diagnosed with low-grade, early-stage endometrial cancer. Multiplex quantitative immunofluorescence was carried out tomeasure CD8, CD68, FOXP3, PD-1,and PD-L1markers, aswell as cytokeratin (CK), on tissuemicroarrays. Clustering results revealed five robust immune response patterns, each associated with specific immune populations, cell phenotypes, and cell spatial clustering.Most samples (69%) belonged to theimmune-desert subtype, characterized by lowimmune cell densities. Tumor-infiltrating lymphocyte (TIL)-rich samples (4%) displayed high CD8+ T-cell infiltration, as well as a high percentage of CD8/PD-1+ cells. Immune-exclusion samples (19%) displayed the lowest CD8+ infiltration combined with high PD-L1 expression levels in CK+ tumor cells. In addition, they demonstrated high tumor cell spatial clustering as well as increased spatial proximity of CD8+/PD-1+ andCK/PD-L1+ cells.FOXP3andmacrophage-rich phenotypes (3%and 4% of total samples) displayed relatively high levels of FOXP3+ regulatory T-cells and CD68+ macrophages, respectively. These phenotypes correlated with clinical outcomes, with immune-exclusion tumors showing an association with tumor relapse. When compared with prediction models built using routine pathological variables, models optimized with immune variables showed increased outcome prediction capacity (AUC = 0.89 versus 0.78) and stratification potential. The improved prediction capacity was independent of mismatch repair protein status and adjuvant radiotherapy treatment. Further, immunofluorescence results could be partially recapitulated using single-marker immunohistochemistry (IHC) performed on whole tissue sections. TIL-rich tumors demonstrated increased CD8+ T-cells by IHC, while immune-exclusion tumors displayed a lack of CD8+ T-cells and frequent expression of PD-L1 in tumor cells. Our results demonstrate the capability of the immune microenvironment to improve standard prediction tools in low-grade, early-stage endometrial carcinomas
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Google™ Scholar:López Janeiro, Álvaro - Villalba Esparza, María - Brizzi, María Emilia - Jiménez Sánchez, Daniel - Ruz Caracuel, Ignacio - Kadioglu, Ece - Masetto, Ivan - Goubert, Virginie - Garcia Ros, David - Melero, Ignacio - Peláez García, Alberto - Hardisson Hernáez, David Alonso - de Andrea, Carlos E.

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