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

Authors
  • Nederlof, Iris;
  • De Bortoli, Davide;
  • Bareche, Yacine;
  • Nguyen, Bastien;
  • de Maaker, Michiel;
  • Hooijer, Gerrit KJ;
  • Buisseret, Laurence;
  • Kok, Marleen;
  • Smid, Marcel;
  • Van den Eynden, Gert GGM;
  • Brinkman, Arie B;
  • Hudecek, Jan;
  • Koster, Jan;
  • Sotiriou, Christos;
  • Larsimont, Denis;
  • Martens, John WM;
  • van de Vijver, Marc J;
  • Horlings, Hugo M;
  • Salgado, Roberto;
  • Biganzoli, Elia;
  • And 1 more
Publication Date
Dec 26, 2019
Source
Lirias
Keywords
License
Unknown
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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. / status: published

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