Scientific Literature

May 6, 2019

Automated image analysis of NSCLC biopsies to predict response to anti-PD-L1 therapy

S. Althammer, T.H. Tan, A. Spitzmüller, L. Rognoni, T. Wiestler, T. Herz, M. Widmaier, M.C. Rebelatto, H. Kaplon, D. Damotte, M. Alifano, S.A. Hammond, M. Dieu-Nosjean, K. Ranade, G. Schmidt, B.W. Higgs and K.E. Steele
Background Immune checkpoint therapies (ICTs) targeting the programmed cell death-1 (PD1)/programmed cell death ligand-1 (PD-L1) pathway have improved outcomes for patients with non-small cell lung cancer (NSCLC), particularly those with high PD-L1 expression. However, the predictive value of manual PD-L1 scoring is imperfect and alternative measures are needed. We report...
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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,...
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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...
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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...
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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...
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