In silico prediction of tumor antigens derived from functional missense mutations of the cancer gene census.
about
POLE Proofreading Mutations Elicit an Antitumor Immune Response in Endometrial CancerNeo-antigens predicted by tumor genome meta-analysis correlate with increased patient survival.Mining the mutanome: developing highly personalized Immunotherapies based on mutational analysis of tumorsA catalog of HLA type, HLA expression, and neo-epitope candidates in human cancer cell linesA Platform for Designing Genome-Based Personalized Immunotherapy or Vaccine against Cancer.Immunological profiling of molecularly classified high-risk endometrial cancers identifies POLE-mutant and microsatellite unstable carcinomas as candidates for checkpoint inhibition.Tumor antigen discovery through translation of the cancer genome.Targeting cancer-specific mutations by T cell receptor gene therapy.Clonal evolution of glioblastoma under therapy.Tumor-Specific T Cell Dysfunction Is a Dynamic Antigen-Driven Differentiation Program Initiated Early during Tumorigenesis.Comprehensive immunoproteogenomic analyses of malignant pleural mesothelioma.Development of a Human Leukocyte Antigen Score to Predict Progression-Free Survival in Head and Neck Squamous Cell Carcinoma Patients.
P2860
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P2860
In silico prediction of tumor antigens derived from functional missense mutations of the cancer gene census.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
In silico prediction of tumor ...... ons of the cancer gene census.
@en
type
label
In silico prediction of tumor ...... ons of the cancer gene census.
@en
prefLabel
In silico prediction of tumor ...... ons of the cancer gene census.
@en
P2860
P356
P1433
P1476
In silico prediction of tumor ...... ons of the cancer gene census.
@en
P2093
Jahan S Khalili
Russell W Hanson
P2860
P304
P356
10.4161/ONCI.21511
P577
2012-11-01T00:00:00Z