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Combination of multiple omics techniques for a personalized therapy or treatment selection
by
Seliger, Barbara
, Massa, Chiara
in
Algorithms
/ Antigens
/ biomarker
/ Biomarkers
/ cancer
/ Cancer therapies
/ Genomes
/ Genomics
/ high throughput technologies
/ Identification
/ Immune system
/ Immunology
/ Immunotherapy
/ Metastasis
/ Microbiomes
/ Mutation
/ patient stratification
/ Patients
/ Peptides
/ personalized therapy
/ Proteomics
/ T cell receptors
/ Tumor microenvironment
/ Tumors
/ Vaccines
2023
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Combination of multiple omics techniques for a personalized therapy or treatment selection
by
Seliger, Barbara
, Massa, Chiara
in
Algorithms
/ Antigens
/ biomarker
/ Biomarkers
/ cancer
/ Cancer therapies
/ Genomes
/ Genomics
/ high throughput technologies
/ Identification
/ Immune system
/ Immunology
/ Immunotherapy
/ Metastasis
/ Microbiomes
/ Mutation
/ patient stratification
/ Patients
/ Peptides
/ personalized therapy
/ Proteomics
/ T cell receptors
/ Tumor microenvironment
/ Tumors
/ Vaccines
2023
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Do you wish to request the book?
Combination of multiple omics techniques for a personalized therapy or treatment selection
by
Seliger, Barbara
, Massa, Chiara
in
Algorithms
/ Antigens
/ biomarker
/ Biomarkers
/ cancer
/ Cancer therapies
/ Genomes
/ Genomics
/ high throughput technologies
/ Identification
/ Immune system
/ Immunology
/ Immunotherapy
/ Metastasis
/ Microbiomes
/ Mutation
/ patient stratification
/ Patients
/ Peptides
/ personalized therapy
/ Proteomics
/ T cell receptors
/ Tumor microenvironment
/ Tumors
/ Vaccines
2023
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Combination of multiple omics techniques for a personalized therapy or treatment selection
Journal Article
Combination of multiple omics techniques for a personalized therapy or treatment selection
2023
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Overview
Despite targeted therapies and immunotherapies have revolutionized the treatment of cancer patients, only a limited number of patients have long-term responses. Moreover, due to differences within cancer patients in the tumor mutational burden, composition of the tumor microenvironment as well as of the peripheral immune system and microbiome, and in the development of immune escape mechanisms, there is no “one fit all” therapy. Thus, the treatment of patients must be personalized based on the specific molecular, immunologic and/or metabolic landscape of their tumor. In order to identify for each patient the best possible therapy, different approaches should be employed and combined. These include (i) the use of predictive biomarkers identified on large cohorts of patients with the same tumor type and (ii) the evaluation of the individual tumor with “omics”-based analyses as well as its ex vivo characterization for susceptibility to different therapies.
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