Literature DB >> 35313341

Immune Mechanisms of Resistance to Cediranib in Ovarian Cancer.

Ganga Gopinathan1, Chiara Berlato1, Anissa Lakhani1, Ludmila Szabova2, Colin Pegrum1, Ana-Rita Pedrosa1, Florian Laforets1, Eleni Maniati1, Frances R Balkwill1.   

Abstract

This article investigates mechanisms of resistance to the VEGF receptor inhibitor cediranib in high-grade serous ovarian cancer (HGSOC), and defines rational combination therapies. We used three different syngeneic orthotopic mouse HGSOC models that replicated the human tumor microenvironment (TME). After 4 to 5 weeks treatment of established tumors, cediranib had antitumor activity with increased tumor T-cell infiltrates and alterations in myeloid cells. However, continued cediranib treatment did not change overall survival or the immune microenvironment in two of the three models. Moreover, treated mice developed additional peritoneal metastases not seen in controls. Cediranib-resistant tumors had intrinsically high levels of IL6 and JAK/STAT signaling and treatment increased endothelial STAT3 activation. Combination of cediranib with a murine anti-IL6 antibody was superior to monotherapy, increasing mouse survival, reducing blood vessel density, and pSTAT3, with increased T-cell infiltrates in both models. In a third HGSOC model, that had lower inherent IL6 JAK/STAT3 signaling in the TME but high programmed cell death protein 1 (PD-1) signaling, long-term cediranib treatment significantly increased overall survival. When the mice eventually relapsed, pSTAT3 was still reduced in the tumors but there were high levels of immune cell PD-1 and Programmed death-ligand 1. Combining cediranib with an anti-PD-1 antibody was superior to monotherapy in this model, increasing T cells and decreasing blood vessel densities. Bioinformatics analysis of two human HGSOC transcriptional datasets revealed distinct clusters of tumors with IL6 and PD-1 pathway expression patterns that replicated the mouse tumors. Combination of anti-IL6 or anti-PD-1 in these patients may increase activity of VEGFR inhibitors and prolong disease-free survival. ©2022 The Authors; Published by the American Association for Cancer Research.

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Year:  2022        PMID: 35313341      PMCID: PMC9167758          DOI: 10.1158/1535-7163.MCT-21-0689

Source DB:  PubMed          Journal:  Mol Cancer Ther        ISSN: 1535-7163            Impact factor:   6.009


  38 in total

Review 1.  Improving immunotherapy outcomes with anti-angiogenic treatments and vice versa.

Authors:  Kabir A Khan; Robert S Kerbel
Journal:  Nat Rev Clin Oncol       Date:  2018-02-13       Impact factor: 66.675

2.  Comprehensive Benchmarking and Integration of Tumor Microenvironment Cell Estimation Methods.

Authors:  Alejandro Jiménez-Sánchez; Oliver Cast; Martin L Miller
Journal:  Cancer Res       Date:  2019-10-22       Impact factor: 12.701

3.  Antitumor activity and safety of pembrolizumab in patients with advanced recurrent ovarian cancer: results from the phase II KEYNOTE-100 study.

Authors:  U A Matulonis; R Shapira-Frommer; A D Santin; A S Lisyanskaya; S Pignata; I Vergote; F Raspagliesi; G S Sonke; M Birrer; D M Provencher; J Sehouli; N Colombo; A González-Martín; A Oaknin; P B Ottevanger; V Rudaitis; K Katchar; H Wu; S Keefe; J Ruman; J A Ledermann
Journal:  Ann Oncol       Date:  2019-07-01       Impact factor: 32.976

4.  Interleukin-6 Stimulates Defective Angiogenesis.

Authors:  Ganga Gopinathan; Carla Milagre; Oliver M T Pearce; Louise E Reynolds; Kairbaan Hodivala-Dilke; David A Leinster; Haihong Zhong; Robert E Hollingsworth; Richard Thompson; James R Whiteford; Frances Balkwill
Journal:  Cancer Res       Date:  2015-06-16       Impact factor: 12.701

Review 5.  IL-6 and related cytokines as the critical lynchpins between inflammation and cancer.

Authors:  Koji Taniguchi; Michael Karin
Journal:  Semin Immunol       Date:  2014-02-16       Impact factor: 11.130

6.  Vascular normalizing doses of antiangiogenic treatment reprogram the immunosuppressive tumor microenvironment and enhance immunotherapy.

Authors:  Yuhui Huang; Jianping Yuan; Elda Righi; Walid S Kamoun; Marek Ancukiewicz; Jean Nezivar; Michael Santosuosso; John D Martin; Margaret R Martin; Fabrizio Vianello; Pierre Leblanc; Lance L Munn; Peigen Huang; Dan G Duda; Dai Fukumura; Rakesh K Jain; Mark C Poznansky
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-08       Impact factor: 11.205

7.  A dynamic inflammatory cytokine network in the human ovarian cancer microenvironment.

Authors:  Hagen Kulbe; Probir Chakravarty; D Andrew Leinster; Kellie A Charles; Joseph Kwong; Richard G Thompson; Jermaine I Coward; Tiziana Schioppa; Stephen C Robinson; William M Gallagher; Laura Galletta; Michael A Salako; John F Smyth; Thorsten Hagemann; Donal J Brennan; David D Bowtell; Frances R Balkwill
Journal:  Cancer Res       Date:  2011-11-07       Impact factor: 12.701

8.  Stratification of ovarian tumor pathology by expression of programmed cell death-1 (PD-1) and PD-ligand- 1 (PD-L1) in ovarian cancer.

Authors:  Maureen L Drakes; Swati Mehrotra; Monica Aldulescu; Ronald K Potkul; Yueying Liu; Anne Grisoli; Cara Joyce; Timothy E O'Brien; M Sharon Stack; Patrick J Stiff
Journal:  J Ovarian Res       Date:  2018-05-30       Impact factor: 4.234

9.  PD-1/PD-L1 expression and tumor-infiltrating lymphocytes are prognostically favorable in advanced high-grade serous ovarian carcinoma.

Authors:  Laura Martin de la Fuente; Sofia Westbom-Fremer; Nicolai Skovbjerg Arildsen; Linda Hartman; Susanne Malander; Päivi Kannisto; Anna Måsbäck; Ingrid Hedenfalk
Journal:  Virchows Arch       Date:  2020-01-24       Impact factor: 4.064

10.  Mouse Ovarian Cancer Models Recapitulate the Human Tumor Microenvironment and Patient Response to Treatment.

Authors:  Eleni Maniati; Chiara Berlato; Ganga Gopinathan; Owen Heath; Panoraia Kotantaki; Anissa Lakhani; Jacqueline McDermott; Colin Pegrum; Robin M Delaine-Smith; Oliver M T Pearce; Priyanka Hirani; Joash D Joy; Ludmila Szabova; Ruth Perets; Owen J Sansom; Ronny Drapkin; Peter Bailey; Frances R Balkwill
Journal:  Cell Rep       Date:  2020-01-14       Impact factor: 9.423

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