Titlebook: Biomarkers for Immunotherapy of Cancer; Methods and Protocol Magdalena Thurin,Alessandra Cesano,Francesco M. Ma Book 2020 Springer Science+

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Using RNA Sequencing to Characterize the Tumor Microenvironmentrence, HLA inference, and viral transcript quantification. In this chapter, we will describe our workflow for RNA-seq from bulk tissue to evaluable data, including extraction of RNA, library preparation methods, sequencing of libraries, alignment and quality assurance of data, and initial downstream

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Development of Gene Expression-Based Biomarkers on the nCounter? Platform for Immuno-Oncology Applic. as well as design and execution of the development program in a way that will maximize likelihood of future success. This chapter introduces transcriptional biomarkers and provides an overview of the design and development process that will lead to a locked diagnostic assay that is ready for valid

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Empirische Modellbildung: Das MIPO-Modell,ity of patients and indications, highlighting the need for more effective and novel approaches. Preclinical and clinical studies with immune checkpoint blockade are exploring the therapeutic potential antibody-based therapy targeting multiple inhibitory receptors. In this chapter, we discuss the cur

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https://doi.org/10.1007/978-3-8350-5523-0his chapter, we review the rationale for exploring the germline genetic factors as novel biomarkers predictive of IO outcomes, including ICI efficacy, toxicity, or survival, and discuss the approaches for the identification of such germline genetic surrogates. Specifically, we focus on strategies fo

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Gruppenprozesse, -strukturen und -modelle, preparation and quality control (QC), and outline the bioinformatics steps necessary for sequence alignment, preprocessing, and MSI-H+ detection using the software tool MANTIS. This workflow is intended to facilitate more widespread usage and adaptation of NGS-powered MSI detection, which can be ev

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https://doi.org/10.1007/978-3-476-99931-3 In metastatic melanoma, however, obtaining a tissue sample for molecular diagnostics is not typically a major obstacle to patient care plans; rather predicting treatment outcomes and monitoring a patient’s disease course during therapy are considered the current priorities for this cancer type. In

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https://doi.org/10.1007/978-3-658-04584-5rence, HLA inference, and viral transcript quantification. In this chapter, we will describe our workflow for RNA-seq from bulk tissue to evaluable data, including extraction of RNA, library preparation methods, sequencing of libraries, alignment and quality assurance of data, and initial downstream

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