Literature DB >> 28724663

PD-L1 Expression and Immune Escape in Melanoma Resistance to MAPK Inhibitors.

Hojabr Kakavand1,2, Robert V Rawson1,3, Gulietta M Pupo4, Jean Y H Yang5, Alexander M Menzies1,2,6, Matteo S Carlino1,7, Richard F Kefford1,8, Julie R Howle1,2,7, Robyn P M Saw1,2,9, John F Thompson1,2,9, James S Wilmott1,2, Georgina V Long1,2,6, Richard A Scolyer1,2,3, Helen Rizos10,8.   

Abstract

Purpose: To examine the relationship between immune activity, PD-L1 expression, and tumor cell signaling, in metastatic melanomas prior to and during treatment with targeted MAPK inhibitors.Experimental Design: Thirty-eight tumors from 17 patients treated with BRAF inhibitor (n = 12) or combination BRAF/MEK inhibitors (n = 5) with known PD-L1 expression were analyzed. RNA expression arrays were performed on all pretreatment (PRE, n = 17), early during treatment (EDT, n = 8), and progression (PROG, n = 13) biopsies. HLA-A/HLA-DPB1 expression was assessed by IHC.
Results: Gene set enrichment analysis (GSEA) of PRE, EDT, and PROG melanomas revealed that transcriptome signatures indicative of immune cell activation were strongly positively correlated with PD-L1 staining. In contrast, MAPK signaling and canonical Wnt/-β-catenin activity was negatively associated with PD-L1 melanoma expression. The expression of PD-L1 and immune activation signatures did not simply reflect the degree or type of immune cell infiltration, and was not sufficient for tumor response to MAPK inhibition.Conclusions: PD-L1 expression correlates with immune cells and immune activity signatures in melanoma, but is not sufficient for tumor response to MAPK inhibition, as many PRE and PROG melanomas displayed both PD-L1 positivity and immune activation signatures. This confirms that immune escape is common in MAPK inhibitor-treated tumors. This has important implications for the selection of second-line immunotherapy because analysis of mechanisms of immune escape will likely be required to identify patients likely to respond to such therapies. Clin Cancer Res; 23(20); 6054-61. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28724663     DOI: 10.1158/1078-0432.CCR-16-1688

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  29 in total

1.  New Mechanisms of Resistance to MEK Inhibitors in Melanoma Revealed by Intravital Imaging.

Authors:  Hailey E Brighton; Steven P Angus; Tao Bo; Jose Roques; Alicia C Tagliatela; David B Darr; Kubra Karagoz; Noah Sciaky; Michael L Gatza; Norman E Sharpless; Gary L Johnson; James E Bear
Journal:  Cancer Res       Date:  2017-11-27       Impact factor: 12.701

2.  The potential of BRAF-targeted therapy combined with immunotherapy in melanoma.

Authors:  Sheida Naderi-Azad; Ryan Sullivan
Journal:  Expert Rev Anticancer Ther       Date:  2020-02-05       Impact factor: 4.512

3.  Targeting Extracellular Matrix Remodeling Restores BRAF Inhibitor Sensitivity in BRAFi-resistant Melanoma.

Authors:  Charles Marusak; Varsha Thakur; Yuan Li; Juliano T Freitas; Patrick M Zmina; Vijay S Thakur; Mayland Chang; Ming Gao; Jiufeng Tan; Min Xiao; Yiling Lu; Gordon B Mills; Keith Flaherty; Dennie T Frederick; Benchun Miao; Ryan J Sullivan; Tabea Moll; Genevieve M Boland; Meenhard Herlyn; Gao Zhang; Barbara Bedogni
Journal:  Clin Cancer Res       Date:  2020-08-20       Impact factor: 12.531

4.  In Vivo ERK1/2 Reporter Predictively Models Response and Resistance to Combined BRAF and MEK Inhibitors in Melanoma.

Authors:  Ileine M Sanchez; Timothy J Purwin; Inna Chervoneva; Dan A Erkes; Mai Q Nguyen; Michael A Davies; Katherine L Nathanson; Kristel Kemper; Daniel S Peeper; Andrew E Aplin
Journal:  Mol Cancer Ther       Date:  2019-07-03       Impact factor: 6.261

5.  Clinical implications of ALDH1A1 and ALDH1A3 mRNA expression in melanoma subtypes.

Authors:  Jenny Mae Samson; Dinoop Ravindran Menon; Derek E Smith; Erika Baird; Takayuki Kitano; Dexiang Gao; Aik-Choon Tan; Mayumi Fujita
Journal:  Chem Biol Interact       Date:  2019-09-30       Impact factor: 5.192

6.  Predictive role of plasmatic biomarkers in advanced non-small cell lung cancer treated by nivolumab.

Authors:  Adrien Costantini; Catherine Julie; Coraline Dumenil; Zofia Hélias-Rodzewicz; Julie Tisserand; Jennifer Dumoulin; Violaine Giraud; Sylvie Labrune; Thierry Chinet; Jean-François Emile; Etienne Giroux Leprieur
Journal:  Oncoimmunology       Date:  2018-04-20       Impact factor: 8.110

Review 7.  PD-L1 as a biomarker of response to immune-checkpoint inhibitors.

Authors:  Deborah Blythe Doroshow; Sheena Bhalla; Mary Beth Beasley; Lynette M Sholl; Keith M Kerr; Sacha Gnjatic; Ignacio I Wistuba; David L Rimm; Ming Sound Tsao; Fred R Hirsch
Journal:  Nat Rev Clin Oncol       Date:  2021-02-12       Impact factor: 66.675

Review 8.  Human Leukocyte Antigen Class I Antigen-Processing Machinery Upregulation by Anticancer Therapies in the Era of Checkpoint Inhibitors: A Review.

Authors:  Ananthan Sadagopan; Theodoros Michelakos; Gabriella Boyiadzis; Cristina Ferrone; Soldano Ferrone
Journal:  JAMA Oncol       Date:  2022-03-01       Impact factor: 31.777

9.  Dissecting immune cell stat regulation network reveals biomarkers to predict ICB therapy responders in melanoma.

Authors:  Jingwen Wang; Feng Li; Yanjun Xu; Xuan Zheng; Chunlong Zhang; Congxue Hu; Yingqi Xu; Wanqi Mi; Xia Li; Yunpeng Zhang
Journal:  J Transl Med       Date:  2021-07-08       Impact factor: 5.531

10.  Mutant BRAF and MEK Inhibitors Regulate the Tumor Immune Microenvironment via Pyroptosis.

Authors:  Dan A Erkes; Weijia Cai; Ileine M Sanchez; Timothy J Purwin; Corey Rogers; Conroy O Field; Adam C Berger; Edward J Hartsough; Ulrich Rodeck; Emad S Alnemri; Andrew E Aplin
Journal:  Cancer Discov       Date:  2019-12-03       Impact factor: 38.272

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