Recurrent Neoantigens in Colorectal Cancer as Potential Immunotherapy Targets
Joint Authors
Chen, Chao
Li, Bo
Liu, Songming
Qu, Ruokai
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This study was aimed at investigating the mutations in colorectal cancer (CRC) for recurrent neoantigen identification.
A total of 1779 samples with whole exome sequencing (WES) data were obtained from 7 published CRC cohorts.
Common HLA genotypes were used to predict the probability of neoantigens at high-frequency mutants in the dataset.
Based on the WES data, we not only obtained the most comprehensive CRC mutation landscape so far but also found 1550 mutations which could be identified in at least 5 patients, including KRAS G12D (8%), KRAS G12V (5.8%), PIK3CA E545K (3.5%), PIK3CA H1047R (2.5%), and BMPR2 N583Tfs∗44 (2.8%).
These mutations can also be recognized by multiple common HLA molecules in Chinese and TCGA cohort as potential “public” neoantigens.
Many of these mutations also have high mutation rates in metastatic pan-cancers, suggesting their value as therapeutic targets in different cancer types.
Overall, our analysis provides recurrent neoantigens as potential cancer immunotherapy targets.
American Psychological Association (APA)
Chen, Chao& Liu, Songming& Qu, Ruokai& Li, Bo. 2020. Recurrent Neoantigens in Colorectal Cancer as Potential Immunotherapy Targets. BioMed Research International،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1132770
Modern Language Association (MLA)
Chen, Chao…[et al.]. Recurrent Neoantigens in Colorectal Cancer as Potential Immunotherapy Targets. BioMed Research International No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1132770
American Medical Association (AMA)
Chen, Chao& Liu, Songming& Qu, Ruokai& Li, Bo. Recurrent Neoantigens in Colorectal Cancer as Potential Immunotherapy Targets. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1132770
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132770