Proceedings of the 2017 International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2017)

The Prediction and Function of Neoantigen in Oncobiology

Authors
Mengjie Cui
Corresponding Author
Mengjie Cui
Available Online August 2017.
DOI
10.2991/mseee-17.2017.32How to use a DOI?
Keywords
neoantigen, tumor immunology, mutation, prediction, immunotherapy.
Abstract

Recent clinical data clearly demonstrated that patient's own immune system has great potential in controlling the progression of many human cancers. Neoantigen is the foundation of tumor immunology for it is the "marker" for mature autologous T lymphocytes to distinguish tumor cells and normal cells. So identification of neoantigen is an important work in both fundamental studies and clinical immunotherapies. Neoantigen is patient-specific, it is derived from tumor genome somatic mutations in protein coding region. Identification of neoantigen is a laborious work before, but recent technological innovations have made this measurement easier and faster, though still not perfect. Now, numerous neoantigen based clinical trials are being carried out around the world by both academic institutes and companies, some have achieved exciting results.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2017)
Series
Advances in Engineering Research
Publication Date
August 2017
ISBN
10.2991/mseee-17.2017.32
ISSN
2352-5401
DOI
10.2991/mseee-17.2017.32How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Mengjie Cui
PY  - 2017/08
DA  - 2017/08
TI  - The Prediction and Function of Neoantigen in Oncobiology
BT  - Proceedings of the 2017 International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2017)
PB  - Atlantis Press
SP  - 169
EP  - 174
SN  - 2352-5401
UR  - https://doi.org/10.2991/mseee-17.2017.32
DO  - 10.2991/mseee-17.2017.32
ID  - Cui2017/08
ER  -