Literature DB >> 27261081

Diversity and divergence of the glioma-infiltrating T-cell receptor repertoire.

Jennifer S Sims1, Boris Grinshpun2, Yaping Feng3, Timothy H Ung4, Justin A Neira1, Jorge L Samanamud1, Peter Canoll5, Yufeng Shen6, Peter A Sims7, Jeffrey N Bruce8.   

Abstract

Although immune signaling has emerged as a defining feature of the glioma microenvironment, how the underlying structure of the glioma-infiltrating T-cell population differs from that of the blood from which it originates has been difficult to measure directly in patients. High-throughput sequencing of T-cell receptor (TCR) repertoires (TCRseq) provides a population-wide statistical description of how T cells respond to disease. We have defined immunophenotypes of whole repertoires based on TCRseq of the α- and β-chains from glioma tissue, nonneoplastic brain tissue, and peripheral blood from patients. Using information theory, we partitioned the diversity of these TCR repertoires into that from the distribution of VJ cassette combinations and diversity due to VJ-independent factors, such as selection due to antigen binding. Tumor-infiltrating lymphocytes (TILs) possessed higher VJ-independent diversity than nonneoplastic tissue, stratifying patients according to tumor grade. We found that the VJ-independent components of tumor-associated repertoires diverge more from their corresponding peripheral repertoires than T-cell populations in nonneoplastic brain tissue, particularly for low-grade gliomas. Finally, we identified a "signature" set of TCRs whose use in peripheral blood is associated with patients exhibiting low TIL divergence and is depleted in patients with highly divergent TIL repertoires. This signature is detectable in peripheral blood, and therefore accessible noninvasively. We anticipate that these immunophenotypes will be foundational to monitoring and predicting response to antiglioma vaccines and immunotherapy.

Entities:  

Keywords:  T-cell receptor; glioblastoma; glioma; immunooncology; immunoprofiling

Mesh:

Substances:

Year:  2016        PMID: 27261081      PMCID: PMC4922177          DOI: 10.1073/pnas.1601012113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  58 in total

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3.  Statistical inference of the generation probability of T-cell receptors from sequence repertoires.

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6.  Coexpression network analysis identifies transcriptional modules related to proastrocytic differentiation and sprouty signaling in glioma.

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  51 in total

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2.  In-depth immunophenotyping of patients with glioblastoma multiforme: Impact of steroid treatment.

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Review 3.  CAR T-cell therapy for glioblastoma: recent clinical advances and future challenges.

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Journal:  Sci Immunol       Date:  2016-12-02

5.  Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab.

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7.  RNA-seq for identification of therapeutically targetable determinants of immune activation in human glioblastoma.

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Review 8.  Cancer systems immunology.

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9.  De novo prediction of cancer-associated T cell receptors for noninvasive cancer detection.

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10.  Recovery of T-cell receptor V(D)J recombination reads from lower grade glioma exome files correlates with reduced survival and advanced cancer grade.

Authors:  Boris I Chobrutskiy; Saif Zaman; Wei Lue Tong; Andrea Diviney; George Blanck
Journal:  J Neurooncol       Date:  2018-10-31       Impact factor: 4.130

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