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Gill TR, Samy MD, Butler SN, et al. Detection of Productively Rearranged TcR-α V-J Sequences in TCGA Exome Files: Implications for Tumor Immunoscoring and Recovery of Antitumor T-cells. Cancer Inform. 2016;15:23-8doi: 10.4137/CIN.S35784.
Gill, T. R., Samy, M. D., Butler, S. N., Mauro, J. A., Sexton, W. J., & Blanck, G. (2016). Detection of Productively Rearranged TcR-α V-J Sequences in TCGA Exome Files: Implications for Tumor Immunoscoring and Recovery of Antitumor T-cells. Cancer informatics, 1523-8. https://doi.org/10.4137/CIN.S35784
Gill, Thomas R, et al. "Detection of Productively Rearranged TcR-α V-J Sequences in TCGA Exome Files: Implications for Tumor Immunoscoring and Recovery of Antitumor T-cells." Cancer informatics vol. 15 (2016): 23-8. doi: https://doi.org/10.4137/CIN.S35784
Gill TR, Samy MD, Butler SN, Mauro JA, Sexton WJ, Blanck G. Detection of Productively Rearranged TcR-α V-J Sequences in TCGA Exome Files: Implications for Tumor Immunoscoring and Recovery of Antitumor T-cells. Cancer Inform. 2016 Feb 25;15:23-8. doi: 10.4137/CIN.S35784. eCollection 2016. PMID: 26966347; PMCID: PMC4768948.
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Cancer Inform. 2016 Feb 25;15:23-8. doi: 10.4137/CIN.S35784. eCollection 2016.

Detection of Productively Rearranged TcR-α V-J Sequences in TCGA Exome Files: Implications for Tumor Immunoscoring and Recovery of Antitumor T-cells.

Cancer informatics

Thomas R Gill, Mohammad D Samy, Shanitra N Butler, James A Mauro, Wade J Sexton, George Blanck

Affiliations

  1. Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.
  2. Genitourinary Oncology Program, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
  3. Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.; Immunology Program, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.

PMID: 26966347 PMCID: PMC4768948 DOI: 10.4137/CIN.S35784

Abstract

Tumor immunoscoring is rapidly becoming a universal parameter of prognosis, and T-cells isolated from tumor masses are used for ex vivo amplification and readministration to patients to facilitate an antitumor immune response. We recently exploited the cancer genome atlas (TCGA) RNASeq data to assess T-cell receptor (TcR) expression and, in particular, discovered strong correlations between major histocompatibility class II (MHCII) and TcR-α constant region expression levels. In this article, we describe the results of searching TCGA exome files for TcR-α V-regions, followed by searching the V-region datasets for TcR-α-J regions. Both primary and metastatic breast cancer sample files contained recombined TcR-α V-J regions, ranging in read counts from 16-39, at the higher level. Among four such V-J rearrangements, three were productive rearrangements. Rearranged TcR-α V-J regions were also detected in TCGA-bladder cancer, -lung cancer, and -ovarian cancer datasets, as well as exome files representing bladder cancer, in Moffitt Cancer Center patients. These results suggest that a direct search of commonly available, conventional exome files for rearranged TcR segments could play a role in more sophisticated immunoscoring or in identifying particular T-cell clones and TcRs directed against tumor antigens.

Keywords: T-cell receptor rearrangement; TCGA; bladder cancer; breast cancer; exome; the cancer genome atlas

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