Feb 18, 2019
Specific immune cell and lymphatic vessel signatures identified by image analysis in renal cancer
P. Schraml, M. Athelogou, T. Hermanns, R. Huss & H. Moch
Anti-angiogenic therapy and immune checkpoint inhibition are novel treatment strategies for patients with renal cell carcinoma. Various components and structures of the tumor microenvironment are potential predictive biomarkers and also attractive treatment targets. Macrophages, tumor infiltrating lymphocytes, vascular and lymphatic vessels represent an important part of the tumor immune environment,...
Nov 29, 2018
Deep Semi Supervised Generative Learning for Automated Tumor Proportion Scoring on NSCLC Tissue Needle Biopsies
A. Kapil, A. Meier, A. Zuraw, K.E. Steele, M.C. Rebelatto, G. Schmidt & N. Brieu
The level of PD-L1 expression in immunohistochemistry (IHC) assays is a key biomarker for the identification of Non-Small-Cell-Lung-Cancer (NSCLC) patients that may respond to anti PD-1/PD-L1 treatments. The quantification of PD-L1 expression currently includes the visual estimation of a Tumor Cell (TC) score by a pathologist and consists of evaluating...
Nov 28, 2018
Measuring multiple parameters of CD8+ tumor-infiltrating lymphocytes in human cancers by image analysis
K.E. Steele T. Tan, R. Korn, K. Dacosta, C. Brown, M. Kuziora, J. Zimmermann, B. Laffin, M. Widmaier, L. Rognoni, R. Cardenes, K. Schneider, A. Boutrin, P. Martin, J. Zha and T. Wiestler , BMC
Immuno-oncology and cancer immunotherapies are areas of intense research. The numbers and locations of CD8+ tumor-infiltrating lymphocytes (TILs) are important measures of the immune response to cancer with prognostic, pharmacodynamic, and predictive potential. We describe the development, validation, and application of advanced image analysis methods to characterize multiple immunohistochemistry-derived CD8...
Mar 13, 2018
Tissue Phenomics for prognostic biomarker discovery in low- and intermediate-risk prostate cancer
N. Harder, M. Athelogou, H. Hessel, N. Brieu, M. Yigitsoy, J. Zimmermann, M. Baatz, A. Buchner, C. G. Stief, T. Kirchner, G. Binnig, G. Schmidt, R. Huss , Scientific Reports , DOI: 10.1038/s41598-018-22564-7
Tissue Phenomics is the discipline of mining tissue images to identify patterns that are related to clinical outcome providing potential prognostic and predictive value. This involves the discovery process from assay development, image analysis, and data mining to the final interpretation and validation of the findings. Importantly, this process is...
Mar 12, 2018
Fibroblast Heterogeneity and Immunosuppressive Environment in Human Breast Cancer
A. Costa, Y. Kieffer, A. Scholer-Dahirel, F. Pelon, B. Bourachot, M. Cardon, P. Sirven I. Magagna, L. Fuhrmann, C. Bernard, C. Bonneau, M. Kondratova, I. Kuperstein, A. Zinovyev, A.-M. Givel, M.-C. Parrini, V. Soumelis, A. Vincent-Salomon, F. Mechta-Grigoriou , Cancer Cell , DOI: 10.1016/j.ccell.2018.01.011
Carcinoma-associated fibroblasts (CAF) are key players in the tumor microenvironment. Here, we characterize four CAF subsets in breast cancer with distinct properties and levels of activation. Two myofibroblastic subsets (CAF-S1, CAF-S4) accumulate differentially in triple-negative breast cancers (TNBC). CAF-S1 fibroblasts promote an immunosuppressive environment through a multi-step mechanism. By secreting...