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Comprehensive evaluation of methods to assess overall and cell-specific immune infiltrates in breast cancer.
- Source :
-
Breast cancer research : BCR [Breast Cancer Res] 2019 Dec 26; Vol. 21 (1), pp. 151. Date of Electronic Publication: 2019 Dec 26. - Publication Year :
- 2019
-
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.<br />Methods: Two experienced pathologists scored sTIL, intra-tumoral TIL (itTIL), and 6 immune cell types (CD3 <superscript>+</superscript> , CD4 <superscript>+</superscript> , CD8 <superscript>+</superscript> , CD20 <superscript>+</superscript> , CD68 <superscript>+</superscript> , FOXP3 <superscript>+</superscript> ) 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.<br />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).<br />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.
- Subjects :
- Biomarkers, Tumor
Breast Neoplasms metabolism
Breast Neoplasms pathology
Epigenome
Female
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Humans
Lymphocytes immunology
Lymphocytes metabolism
Lymphocytes pathology
Lymphocytes, Tumor-Infiltrating metabolism
Lymphocytes, Tumor-Infiltrating pathology
Tissue Array Analysis
Transcriptome
Tumor Microenvironment immunology
Breast Neoplasms etiology
Disease Susceptibility
Lymphocytes, Tumor-Infiltrating immunology
Subjects
Details
- Language :
- English
- ISSN :
- 1465-542X
- Volume :
- 21
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Breast cancer research : BCR
- Publication Type :
- Academic Journal
- Accession number :
- 31878981
- Full Text :
- https://doi.org/10.1186/s13058-019-1239-4