Computerised scoring protocol for identification and quantification of different immune cell populations in breast tumour regions by the use of QuPath software

As important prognostic and predictive information can be obtained from the composition, functionality and spatial arrangement of different immune cell subtypes, this study aims at characterizing the immune infiltrate in breast tumours.

[1]  Maria Anna Rapsomaniki,et al.  A Single-Cell Atlas of the Tumor and Immune Ecosystem of Human Breast Cancer , 2019, Cell.

[2]  C. Caux,et al.  Cold Tumors: A Therapeutic Challenge for Immunotherapy , 2019, Front. Immunol..

[3]  R. Kimmig,et al.  Dissimilar patterns of tumor-infiltrating immune cells at the invasive tumor front and tumor center are associated with response to neoadjuvant chemotherapy in primary breast cancer , 2019, BMC Cancer.

[4]  Kunxian Yang,et al.  Distribution and prognostic value of tumor-infiltrating T cells in breast cancer , 2018, Molecular medicine reports.

[5]  M. Salto‐Tellez,et al.  Validation of the systematic scoring of immunohistochemically stained tumour tissue microarrays using QuPath digital image analysis , 2018, Histopathology.

[6]  F. Marincola,et al.  International validation of the consensus Immunoscore for the classification of colon cancer: a prognostic and accuracy study , 2018, The Lancet.

[7]  Carsten Denkert,et al.  Assessing Tumor-Infiltrating Lymphocytes in Solid Tumors: A Practical Review for Pathologists and Proposal for a Standardized Method from the International Immuno-Oncology Biomarkers Working Group: Part 2: TILs in Melanoma, Gastrointestinal Tract Carcinomas, Non-Small Cell Lung Carcinoma and Mesothe , 2017, Advances in anatomic pathology.

[8]  Peter Bankhead,et al.  QuPath: Open source software for digital pathology image analysis , 2017, Scientific Reports.

[9]  S. Loi,et al.  Relevance of tumor-infiltrating lymphocytes in breast cancer , 2015, BMC Medicine.

[10]  T. Nielsen,et al.  The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014. , 2015, Annals of oncology : official journal of the European Society for Medical Oncology.

[11]  F. Marincola,et al.  Towards the introduction of the ‘Immunoscore’ in the classification of malignant tumours , 2013, The Journal of pathology.

[12]  F. Marincola,et al.  The immune score as a new possible approach for the classification of cancer , 2012, Journal of Translational Medicine.

[13]  T. Nielsen,et al.  Breast cancer subtypes and the risk of local and regional relapse. , 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[14]  D. Armbruster,et al.  Limit of blank, limit of detection and limit of quantitation. , 2008, The Clinical biochemist. Reviews.

[15]  Z. Trajanoski,et al.  Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome , 2006, Science.