Literature DB >> 27589875

Response to Programmed Cell Death-1 Blockade in a Murine Melanoma Syngeneic Model Requires Costimulation, CD4, and CD8 T Cells.

Blanca Homet Moreno1, Jesse M Zaretsky2, Angel Garcia-Diaz1, Jennifer Tsoi3, Giulia Parisi1, Lidia Robert1, Katrina Meeth4, Abibatou Ndoye5, Marcus Bosenberg6, Ashani T Weeraratna5, Thomas G Graeber7, Begoña Comin-Anduix8, Siwen Hu-Lieskovan9, Antoni Ribas10.   

Abstract

The programmed cell death protein 1 (PD-1) limits effector T-cell functions in peripheral tissues, and its inhibition leads to clinical benefit in different cancers. To better understand how PD-1 blockade therapy modulates the tumor-host interactions, we evaluated three syngeneic murine tumor models, the BRAFV600E-driven YUMM1.1 and YUMM2.1 melanomas, and the carcinogen-induced murine colon adenocarcinoma MC38. The YUMM cell lines were established from mice with melanocyte-specific BRAFV600E mutation and PTEN loss (BRAFV600E/PTEN-/-). Anti-PD-1 or anti-PD-L1 therapy engendered strong antitumor activity against MC38 and YUMM2.1, but not YUMM1.1. PD-L1 expression did not differ between the three models at baseline or upon interferon stimulation. Whereas mutational load was high in MC38, it was lower in both YUMM models. In YUMM2.1, the antitumor activity of PD-1 blockade had a critical requirement for both CD4 and CD8 T cells, as well as CD28 and CD80/86 costimulation, with an increase in CD11c+CD11b+MHC-IIhigh dendritic cells and tumor-associated macrophages in the tumors after PD-1 blockade. Compared with YUMM1.1, YUMM2.1 exhibited a more inflammatory profile by RNA sequencing analysis, with an increase in expression of chemokine-trafficking genes that are related to immune cell recruitment and T-cell priming. In conclusion, response to PD-1 blockade therapy in tumor models requires CD4 and CD8 T cells and costimulation that is mediated by dendritic cells and macrophages. Cancer Immunol Res; 4(10); 845-57. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 27589875      PMCID: PMC5050168          DOI: 10.1158/2326-6066.CIR-16-0060

Source DB:  PubMed          Journal:  Cancer Immunol Res        ISSN: 2326-6066            Impact factor:   11.151


  49 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-02       Impact factor: 11.205

3.  Melanoma-intrinsic β-catenin signalling prevents anti-tumour immunity.

Authors:  Stefani Spranger; Riyue Bao; Thomas F Gajewski
Journal:  Nature       Date:  2015-05-11       Impact factor: 49.962

4.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

5.  Safety, activity, and immune correlates of anti-PD-1 antibody in cancer.

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Journal:  Science       Date:  2015-03-12       Impact factor: 47.728

7.  Programmed cell death 1 forms negative costimulatory microclusters that directly inhibit T cell receptor signaling by recruiting phosphatase SHP2.

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9.  PD-1 blockade induces responses by inhibiting adaptive immune resistance.

Authors:  Paul C Tumeh; Christina L Harview; Jennifer H Yearley; I Peter Shintaku; Emma J M Taylor; Lidia Robert; Bartosz Chmielowski; Marko Spasic; Gina Henry; Voicu Ciobanu; Alisha N West; Manuel Carmona; Christine Kivork; Elizabeth Seja; Grace Cherry; Antonio J Gutierrez; Tristan R Grogan; Christine Mateus; Gorana Tomasic; John A Glaspy; Ryan O Emerson; Harlan Robins; Robert H Pierce; David A Elashoff; Caroline Robert; Antoni Ribas
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

10.  Negative regulation by PD-L1 during drug-specific priming of IL-22-secreting T cells and the influence of PD-1 on effector T cell function.

Authors:  Andrew Gibson; Monday Ogese; Andrew Sullivan; Eryi Wang; Katy Saide; Paul Whitaker; Daniel Peckham; Lee Faulkner; B Kevin Park; Dean J Naisbitt
Journal:  J Immunol       Date:  2014-02-07       Impact factor: 5.422

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  66 in total

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Journal:  Cancer Immunol Immunother       Date:  2021-02-11       Impact factor: 6.968

Review 3.  Biological Consequences of MHC-II Expression by Tumor Cells in Cancer.

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5.  Pre-clinical development of Listeria-based nanovaccines as immunotherapies for solid tumours: insights from melanoma.

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Journal:  Oncoimmunology       Date:  2018-11-10       Impact factor: 8.110

6.  Rescue of exhausted CD8 T cells by PD-1-targeted therapies is CD28-dependent.

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Journal:  Science       Date:  2017-03-09       Impact factor: 47.728

7.  UV-induced somatic mutations elicit a functional T cell response in the YUMMER1.7 mouse melanoma model.

Authors:  Jake Wang; Curtis J Perry; Katrina Meeth; Durga Thakral; William Damsky; Goran Micevic; Susan Kaech; Kim Blenman; Marcus Bosenberg
Journal:  Pigment Cell Melanoma Res       Date:  2017-06-08       Impact factor: 4.693

8.  A Genetic Screen to Identify Gain- and Loss-of-Function Modifications that Enhance T-cell Infiltration into Tumors.

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9.  Inhibiting Notch1 enhances immunotherapy efficacy in melanoma by preventing Notch1 dependent immune suppressive properties.

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10.  Tumour YAP1 and PTEN expression correlates with tumour-associated myeloid suppressor cell expansion and reduced survival in colorectal cancer.

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Journal:  Immunology       Date:  2018-06-11       Impact factor: 7.397

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