A Comprehensive Survey of Mutations in Oesophageal Carcinoma Reveals Recurrent Neoantigens as Potential Immunotherapy Targets
Chen, C.; Liu, S.; Xiong, H.; Zhang, X.; Li, B.
Show abstract
This study was aimed to investigate the mutations in Esophageal Carcinoma (EC) for recurrent neoantigen identification. A total of 733 samples with whole exome sequencing (WES) mutation data and 1153 samples with target region sequencing data were obtained from 7 published studies and GENIE database. Common HLA-I and HLA-II genotypes in both TCGA cohort and Chinese were used to predict the probability of public neoantigens in the dataset. Based on the integrated data, we not only obtained the most comprehensive EC mutation landscape so far, but also found 253 mutation sites which could be identified in at least 3 or more patients, including, TP53 p.R248Q, PIK3CA p.E545K, PIK3CA p.E542K, KRAS p.G12D, PIK3CA p.H1047R and TP53 p.C83F. These mutations can be recognized by multiple common HLA molecules (HLA-A11:01, HLA-B57:01, HLA-A03:01, DRB1-0301, DRB1-1202, et al.) in Chinese and TCGA cohort as potential public neoantigens. Overall, our analysis provides some potential targets for EC immunotherapy.
Matching journals
The top 12 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Bioinformatics analysis of immune-related prognostic genes and immunotherapy in renal clear cell carcinoma 95%
- Identification of cuproptosis and ferroptosis-related subtypes and development of a prognostic signature in colon cancer 95%
- Survival benefit of adjuvant therapy following neoadjuvant therapy in patients with resected esophageal cancer: a retrospective cohort study 94%
Similar papers in this journal
- Analysis and Identification of Necroptosis Landscape on Therapy and Prognosis in Bladder Cancer 95%
- Computing Skin Cutaneous Melanoma Outcome from the HLA-alleles and Clinical Characteristics 95%
- The Construction and Analysis of ceRNA Network and Immune Infiltration in Kidney Renal Clear Cell Carcinoma 94%
Similar papers in this journal
- VaxOptiML: Leveraging Machine Learning for Accurate Prediction of MHC-I & II Epitopes for Optimized Cancer Immunotherapy 91%
- Mannose-binding lectin gene polymorphisms in the East Siberia and Russian Arctic populations 88%
- KIR2DL4 genetic diversity in a Brazilian population sample: implications for transcription regulation and protein diversity in samples with different ancestry backgrounds 88%
Similar papers in this journal
- Dissected subgroups predict the risk of recurrence of stage II colorectal cancer and select rational treatment 95%
- Profiling tumor immune microenvironment of non-small cell lung cancer using multiplex immunofluorescence 94%
- Transcriptome analysis of PBMCs reveals distinct immune response in the asymptomatic and re-detectable positive COVID-19 patients 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.