Using a genomics based approach to analyze the tumor microenvironment can provide unique insights beyond IHC and FACS methods. OncoPeptTUME deeply interrogates RNA-Seq data sets to produce high resolution mapping of the tumor microenvironment using proprietary cell type specific gene expression signatures. OncoPeptTUME provides a critical assessment of the inflammatory microenvironment that modulates T-cell infiltration and its anti-tumor activities to enable better prediction of treatment response and efficacy.
A powerful end-to-end service to analyze the tumor microenvironment compatible with varying quantity and quality samples
OncoPepTUME pipeline quantifies the relative infiltration of innate and adaptive immune cells (CD8+, CD4+, T cells, B cells, Treg cells, NK cells, Macrophages, Monocytes, Neutrophils) with proprietary immune cell type-specific gene expression signatures.
Identify biomarkers for patient selection, predict likelihood of response to checkpoint inhibitor therapies and monitor durability of response.
OncoPeptTUMETM — A novel in-silico approach to model the tumor microenvironment and predict treatment efficacy and long-term survival benefits for immunotherapy applications
Cancer immunotherapy is now established as a major therapeutic modality. Cancer immunotherapy drugs elicit their anti-tumor immune response in a subset of the treated patients by activating CD8 T-cells and provide sustainable and long-lasting benefit in a few. Recently, significant efforts have been devoted to understanding the factors that influence response to immuno-therapy and/or contribute to the development of resistance to therapy. While it is appreciated that many different tumor cell- intrinsic and extrinsic features, including the tumor microenvironment, driver gene mutations, host genetics, microbiome and environmental factors modulate response to immune checkpoint inhibitors, the tumor microenvironment ecosystem could be a major contributor in regulating response to immunotherapy and development of resistance.