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Tumor Antigen Identification for Cancer Immunotherapy Publisher



Balibegloo M1, 2 ; Keshavarzfathi M2, 3 ; Rezaei N1, 4, 5
Authors
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Authors Affiliations
  1. 1. Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Cancer Immunology Project (CIP), Universal Scientific Education and Research Network (USERN), Tehran, Iran
  3. 3. School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran

Source: Cancer Immunology: Bench to Bedside Immunotherapy of Cancers# Second Edition Published:2020


Abstract

The immune system has shown to be capable of acting against malignant cells, in which recognizing the tumor antigen is an essential step. Tumor antigens are different in structure, expression and presentation, origin, immunogenicity, etc. Thus, it is very important to identify the antigens with favored properties. Several techniques have been developed for tumor antigen identification; the major two categories are indirect immunology based on algorithms predicting the HLA-peptide binding affinity ranking the candidate antigens which will further be validated versus direct HLA peptidomics approach which derives samples, isolates HLA-peptide complex, and determines the sequence of the peptide as a tumor antigen. Better antitumor immunotherapeutics such as personalized medicine, efficient adoptive T-cell therapy, immune vaccines, etc. will be provided through the development of more advanced antigen identification protocols. © Springer Nature Switzerland AG 2015, 2021. All rights reserved.
1. Tumor Antigens, Vaccines for Cancer Immunotherapy: An Evidence-Based Review on Current Status and Future Perspectives (2018)
2. Tumor Antigens, Vaccines for Cancer Immunotherapy: An Evidence-Based Review on Current Status and Future Perspectives (2019)
4. Cancer Immunology, Encyclopedia of Infection and Immunity (2022)
5. Personalized Cancer Vaccine, Vaccines for Cancer Immunotherapy: An Evidence-Based Review on Current Status and Future Perspectives (2018)
6. Biomarkers for Immune Checkpoint Inhibitors, Cancer Immunology: Bench to Bedside Immunotherapy of Cancers# Second Edition (2020)
7. Personalized Cancer Vaccine, Vaccines for Cancer Immunotherapy: An Evidence-Based Review on Current Status and Future Perspectives (2019)
8. Immunotherapy of Cancers Comes of Age, Expert Review of Clinical Immunology (2017)
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