Abstract
Class I and class II HLA proteins, respectively, have been associated with subsets of V(D)J usage resulting from recombination of the T-cell receptor (TCR) genes. Additionally, particular HLA alleles, in combination with dominant TCR V(D)J recombinations, have been associated with several autoimmune diseases. The recovery of TCR recombination reads from tumor specimen exome files has allowed rapid and extensive assessments of V(D)J usage, likely for cancer resident T-cells, across relatively large cancer datasets. The results from this approach, in this report, have permitted an extensive alignment of TCR-β VDJ usage and HLA class I and II alleles. Results indicate the correlation of both better and worse cancer survival rates with particular TCR-β, V and J usage-HLA allele combinations, with differences in median survival times ranging from 7 to 130 months, depending on the cancer and the specific TCR-β V and J usage/HLA class allele combination.
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Abbreviations
- CDR3:
-
Complementarity determining region-3
- dbGaP:
-
Database of genotypes and phenotypes
- HLA:
-
Human leukocyte antigen
- HNSC:
-
Head and neck cancer
- LUAD:
-
Lung adenocarcinoma
- KM:
-
Kaplan–Meier
- NKT:
-
Natural killer T-cell
- OV:
-
Ovarian cancer
- SKCM:
-
Skin, cutaneous melanoma
- SPSS:
-
Statistical package for the social sciences
- STAD:
-
Stomach adenocarcinoma
- TCGA:
-
The cancer genome atlas
- TCR:
-
T-cell receptor
- WXS:
-
Whole exome sequence
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Acknowledgements
Authors would like to acknowledge the support of University of South Florida research computing. The whole exome files for this project were made available via database of Genotypes and Phenotypes approved project #6300, to George Blanck.
Funding
This work was supported by the taxpayers of the State of Florida. Blake M. Callahan was a recipient of a Bonati research stipend.
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Blake M. Callahan contributed to the design of the project and conducted most of the original, basic assessment of TCR and HLA combinations in the whole exome files; and contributed to manuscript preparation. Blake M. Callahan, John M. Yavorski, and Jacob C. Kinskey contributed extensively to the KM analyses. Yaping N. Tu, Wei Lue Tong and Timothy J. Fawcett contributed extensively to the code-writing and use of USF research computing. Kendall R. Clark contributed TCR data for a subset of cancer types. George Blanck contributed to the design of the project, supervised the project, and participated extensively in manuscript preparation.
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Callahan, B.M., Yavorski, J.M., Tu, Y.N. et al. T-cell receptor-β V and J usage, in combination with particular HLA class I and class II alleles, correlates with cancer survival patterns. Cancer Immunol Immunother 67, 885–892 (2018). https://doi.org/10.1007/s00262-018-2139-7
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DOI: https://doi.org/10.1007/s00262-018-2139-7