Characterizing Heterogeneity, CD8 Tumor Biopsy, Image Analysis CD8 T-Cell Inflammation, Tumor Microenvironment Factor Analysis, Therapeutic Response PD-L1, Checkpoint Inhibitors, Inflammatory Response Evaluation, Tumor Immune Desert, Inflamed, Expression CD-8 Tumor Tissue Nests, Categorize Phenotypic Information, Categorization Tumor Nests Inflammation, Image Analysis Algorithm Non-Small Cell Cancer, Bladder Cancer Clinical Study, Melanoma Tumor Tissue Analysis Algorithm, CD8 Expression Tissue Section Analysis, Tumor Nest Inflammation Heterogeneity, Collection Data Tissue CD8, Tumor Nest Biopsy Identification Algorithm, Biomarker Identification Cancer Oncology, Cancer Drug Efficacy Clinical Trial

Characterizing the Heterogeneity of CD8 Inflammation in Biopsied Tumor Tissues Using Novel Image Analysis Techniques (Poster No. 3137 #AACR2021 in partnership with Scholar Rock)

Key takeaways

An image analysis-based algorithm was used to assess CD8 expression in numerous tumor nests in non-small cell lung cancer, bladder, and melanoma tumor samples
Measuring CD8 expression within tumor nests rather than averaging across a whole tissue section provided a more informative assessment of inflammation
Identifying specific tumor areas of concern for further investigation can help inform the mechanisms for drug efficacy or resistance

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Characterizing the Heterogeneity of CD8 Inflammation in Biopsied Tumor Tissues Using Novel Image Analysis Techniques (Poster No. 3137 #AACR2021 in partnership with Scholar Rock)

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