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Published in: Breast Cancer Research 1/2019

Open Access 01-12-2019 | Breast Cancer | Research article

Comprehensive evaluation of methods to assess overall and cell-specific immune infiltrates in breast cancer

Authors: Iris Nederlof, Davide De Bortoli, Yacine Bareche, Bastien Nguyen, Michiel de Maaker, Gerrit K. J. Hooijer, Laurence Buisseret, Marleen Kok, Marcel Smid, Gert G. G. M. Van den Eynden, Arie B. Brinkman, Jan Hudecek, Jan Koster, Christos Sotiriou, Denis Larsimont, John W. M. Martens, Marc J. van de Vijver, Hugo M. Horlings, Roberto Salgado, Elia Biganzoli, Christine Desmedt

Published in: Breast Cancer Research | Issue 1/2019

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Abstract

Background

Breast cancer (BC) immune infiltrates play a critical role in tumor progression and response to treatment. Besides stromal tumor infiltrating lymphocytes (sTILs) which have recently reached level 1B evidence as a prognostic marker in triple negative BC, a plethora of methods to assess immune infiltration exists, and it is unclear how these compare to each other and if they can be used interchangeably.

Methods

Two experienced pathologists scored sTIL, intra-tumoral TIL (itTIL), and 6 immune cell types (CD3+, CD4+, CD8+, CD20+, CD68+, FOXP3+) in the International Cancer Genomics Consortium breast cancer cohort using hematoxylin and eosin-stained (n = 243) and immunohistochemistry-stained tissue microarrays (n = 254) and whole slides (n = 82). The same traits were evaluated using transcriptomic- and methylomic-based deconvolution methods or signatures.

Results

The concordance correlation coefficient (CCC) between pathologists for sTIL was very good (0.84) and for cell-specific immune infiltrates slightly lower (0.63–0.66). Comparison between tissue microarray and whole slide pathology scores revealed systematically higher values in whole slides (ratio 2.60–5.98). The Spearman correlations between microscopic sTIL and transcriptomic- or methylomic-based assessment of immune infiltrates were highly variable (r = 0.01–0.56). Similar observations were made for cell type-specific quantifications (r = 0.001–0.54). We observed a strong inter-method variability between the omics-derived estimations, which is further cell type dependent. Finally, we demonstrated that most methods more accurately identify highly infiltrated (sTIL ≥ 60%; area under the curve, AUC, 0.64–0.99) as compared to lowly infiltrated tumors (sTIL ≤ 10%; AUC 0.52–0.82).

Conclusions

There is a lower inter-pathologist concordance for cell-specific quantification as compared to overall infiltration quantification. Microscopic assessments are underestimated when considering small cores (tissue microarray) instead of whole slides. Results further highlight considerable differences between the microscopic-, transcriptomic-, and methylomic-based methods in the assessment of overall and cell-specific immune infiltration in BC. We therefore call for extreme caution when assessing immune infiltrates using current methods and emphasize the need for standardized immune characterization beyond TIL.
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Metadata
Title
Comprehensive evaluation of methods to assess overall and cell-specific immune infiltrates in breast cancer
Authors
Iris Nederlof
Davide De Bortoli
Yacine Bareche
Bastien Nguyen
Michiel de Maaker
Gerrit K. J. Hooijer
Laurence Buisseret
Marleen Kok
Marcel Smid
Gert G. G. M. Van den Eynden
Arie B. Brinkman
Jan Hudecek
Jan Koster
Christos Sotiriou
Denis Larsimont
John W. M. Martens
Marc J. van de Vijver
Hugo M. Horlings
Roberto Salgado
Elia Biganzoli
Christine Desmedt
Publication date
01-12-2019
Publisher
BioMed Central
Published in
Breast Cancer Research / Issue 1/2019
Electronic ISSN: 1465-542X
DOI
https://doi.org/10.1186/s13058-019-1239-4

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Breast Cancer Research 1/2019 Go to the issue
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Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
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