Literature DB >> 27925177

T-cell diversification reflects antigen selection in the blood of patients on immune checkpoint inhibition and may be exploited as liquid biopsy biomarker.

Nuray Akyüz1, Anna Brandt1, Alexander Stein1, Simon Schliffke1, Thorben Mährle1, Julia Quidde1, Eray Goekkurt2, Sonja Loges1, Thomas Haalck3, Christopher Thomas Ford1, Anne Marie Asemissen1, Benjamin Thiele1, Janina Radloff1, Toni Thenhausen4, Artus Krohn-Grimberghe4,5, Carsten Bokemeyer1, Mascha Binder1.   

Abstract

Cancer immunotherapy with antibodies targeting immune checkpoints, such as programmed cell death protein 1 (PD-1), shows encouraging results, but reliable biomarkers predicting response to this costly and potentially toxic treatment approach are still lacking. To explore an immune signature predictive for response, we performed liquid biopsy immunoprofiling in 18 cancer patients undergoing PD-1 inhibition before and shortly after initiation of treatment by multicolor flow cytometry and next-generation T- and B-cell immunosequencing (TCRß/IGH). Findings were correlated with clinical outcomes. We found almost complete saturation of surface PD-1 on all T-cell subsets after the first dose of the antibody. Both T- and B-cell compartments quantitatively expanded during treatment. These expansions were mainly driven by an increase in the activated T-cell compartments, as well as of naïve B- and plasma cells. Deep immunosequencing revealed a clear diversification pattern of the clonal T-cell space indicative of antigenic selection in 47% of patients, while the remaining patients showed stable repertoires. 43% of the patients with a diversification pattern showed disease control in response to the PD-1 inhibitor. No disease stabilizations were observed without clonal T-cell space diversification. Our data show for the first time a clear impact of PD-1 targeting not only on circulating T-cells, but also on B-lineage cells, shedding light on the complexity of the anti-tumor immune response. Liquid biopsy T-cell next-generation immunosequencing should be prospectively evaluated as part of a composite response prediction biomarker panel in the context of clinical studies.
© 2016 UICC.

Entities:  

Keywords:  PD-1; biomarker; immune checkpoint inhibition; immunoprofiling; next-generation sequencing

Mesh:

Substances:

Year:  2017        PMID: 27925177     DOI: 10.1002/ijc.30549

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  15 in total

Review 1.  Perspective on immune oncology with liquid biopsy, peripheral blood mononuclear cells, and microbiome with non-invasive biomarkers in cancer patients.

Authors:  A Mitsuhashi; Y Okuma
Journal:  Clin Transl Oncol       Date:  2018-01-08       Impact factor: 3.405

2.  T cell receptor next-generation sequencing reveals cancer-associated repertoire metrics and reconstitution after chemotherapy in patients with hematological and solid tumors.

Authors:  Donjete Simnica; Nuray Akyüz; Simon Schliffke; Malte Mohme; Lisa V Wenserski; Thorben Mährle; Lorenzo F Fanchi; Katrin Lamszus; Mascha Binder
Journal:  Oncoimmunology       Date:  2019-07-25       Impact factor: 8.110

3.  DNA-Barcoded pMHC Tetramers for Detection of Single Antigen-Specific T Cells by Digital PCR.

Authors:  Shreyas N Dahotre; Yun Min Chang; Anna M Romanov; Gabriel A Kwong
Journal:  Anal Chem       Date:  2019-01-30       Impact factor: 6.986

4.  Peripheral blood T-cell receptor repertoire as a predictor of clinical outcomes in gastrointestinal cancer patients treated with PD-1 inhibitor.

Authors:  S Ji; J Li; L Chang; C Zhao; R Jia; Z Tan; R Liu; Y Zhang; Y Li; G Yin; Y Guan; X Xia; X Yi; J Xu
Journal:  Clin Transl Oncol       Date:  2021-02-13       Impact factor: 3.405

Review 5.  Future of Liquid Biopsies With Growing Technological and Bioinformatics Studies: Opportunities and Challenges in Discovering Tumor Heterogeneity With Single-Cell Level Analysis.

Authors:  Naveen Ramalingam; Stefanie S Jeffrey
Journal:  Cancer J       Date:  2018 Mar/Apr       Impact factor: 3.360

6.  Dynamic changes of the normal B lymphocyte repertoire in CLL in response to ibrutinib or FCR chemo-immunotherapy.

Authors:  Simon Schliffke; Mariela Sivina; Ekaterina Kim; Lisa von Wenserski; Benjamin Thiele; Nuray Akyüz; Clemens Falker-Gieske; Donjete Statovci; Anna Oberle; Toni Thenhausen; Artus Krohn-Grimberghe; Carsten Bokemeyer; Nitin Jain; Zeev Estrov; Alessandra Ferrajoli; William Wierda; Michael Keating; Jan A Burger; Mascha Binder
Journal:  Oncoimmunology       Date:  2018-01-15       Impact factor: 8.110

7.  Assessment of Immune Status in Dynamics for Patients with Cancer Undergoing Immunotherapy.

Authors:  Bacinschi Xenia Elena; Laurentia Nicoleta Gales; Anca Florina Zgura; Laura Iliescu; Rodica Maricela Anghel; Bogdan Haineala
Journal:  J Oncol       Date:  2021-05-03       Impact factor: 4.375

Review 8.  Liquid biopsy for lung cancer immunotherapy.

Authors:  Liang-Liang Cai; Jie Wang
Journal:  Oncol Lett       Date:  2019-03-19       Impact factor: 2.967

9.  Deep sequencing of bone marrow microenvironments of patients with del(5q) myelodysplastic syndrome reveals imprints of antigenic selection as well as generation of novel T-cell clusters as a response pattern to lenalidomide.

Authors:  Thorben Mährle; Nuray Akyüz; Pim Fuchs; Nicola Bonzanni; Donjete Simnica; Ulrich Germing; Anne Marie Asemissen; Johann Christoph Jann; Florian Nolte; Wolf-Karsten Hofmann; Daniel Nowak; Mascha Binder
Journal:  Haematologica       Date:  2019-01-17       Impact factor: 9.941

10.  High-Throughput Immunogenetics Reveals a Lack of Physiological T Cell Clusters in Patients With Autoimmune Cytopenias.

Authors:  Donjete Simnica; Simon Schliffke; Christoph Schultheiß; Nicola Bonzanni; Lorenzo F Fanchi; Nuray Akyüz; Barbara Gösch; Christian Casar; Benjamin Thiele; Janina Schlüter; Ansgar W Lohse; Mascha Binder
Journal:  Front Immunol       Date:  2019-08-21       Impact factor: 7.561

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