Literature DB >> 34753772

Inhibition of FGFR Reactivates IFNγ Signaling in Tumor Cells to Enhance the Combined Antitumor Activity of Lenvatinib with Anti-PD-1 Antibodies.

Yusuke Adachi1, Hiroshi Kamiyama2, Kenji Ichikawa2, Sayo Fukushima2, Yoichi Ozawa2, Shogo Yamaguchi2, Satoshi Goda2, Takayuki Kimura2, Kotaro Kodama2, Masahiro Matsuki2, Saori Watanabe Miyano2, Akira Yokoi2, Yu Kato2, Yasuhiro Funahashi1.   

Abstract

Combination therapies consisting of immune checkpoint inhibitors plus anti-VEGF therapy show enhanced antitumor activity and are approved treatments for patients with renal cell carcinoma (RCC). The immunosuppressive roles of VEGF in the tumor microenvironment are well studied, but those of FGF/FGFR signaling remain largely unknown. Lenvatinib is a receptor tyrosine kinase inhibitor that targets both VEGFR and FGFR. Here, we examine the antitumor activity of anti-PD-1 mAb combined with either lenvatinib or axitinib, a VEGFR-selective inhibitor, in RCC. Both combination treatments showed greater antitumor activity and longer survival in mouse models versus either single agent treatment, whereas anti-PD-1 mAb plus lenvatinib had enhanced antitumor activity compared with anti-PD-1 mAb plus axitinib. Flow cytometry analysis showed that lenvatinib decreased the population of tumor-associated macrophages and increased that of IFNγ-positive CD8+ T cells. Activation of FGFR signaling inhibited the IFNγ-stimulated JAK/STAT signaling pathway and decreased expression of its target genes, including B2M, CXCL10, and PD-L1. Furthermore, inhibition of FGFR signaling by lenvatinib restored the tumor response to IFNγ stimulation in mouse and human RCC cell lines. These preclinical results reveal novel roles of tumor FGFR signaling in the regulation of cancer immunity through inhibition of the IFNγ pathway, and the inhibitory activity of lenvatinib against FGFRs likely contributes to the enhanced antitumor activity of combination treatment comprising lenvatinib plus anti-PD-1 mAb. SIGNIFICANCE: FGFR pathway activation inhibits IFNγ signaling in tumor cells, and FGFR inhibition with lenvatinib enhances antitumor immunity and the activity of anti-PD-1 antibodies. ©2021 The Authors; Published by the American Association for Cancer Research.

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Year:  2021        PMID: 34753772     DOI: 10.1158/0008-5472.CAN-20-2426

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  7 in total

1.  Integration of Bulk RNA Sequencing and Single-Cell RNA Sequencing to Reveal Uveal Melanoma Tumor Heterogeneity and Cells Related to Survival.

Authors:  Guohong Gao; Aijun Deng; Shan Liang; Shengsheng Liu; Xinyi Fu; Xiaoyan Zhao; Zhilong Yu
Journal:  Front Immunol       Date:  2022-07-05       Impact factor: 8.786

2.  Lenvatinib combined with nivolumab in advanced hepatocellular carcinoma-real-world experience.

Authors:  Wen-Chi Wu; Tzu-Yuan Lin; Ming-Huang Chen; Yi-Ping Hung; Chien-An Liu; Rheun-Chuan Lee; Yi-Hsiang Huang; Yee Chao; San-Chi Chen
Journal:  Invest New Drugs       Date:  2022-04-28       Impact factor: 3.651

3.  Comprehensive analysis of the prognostic value and immune infiltration of FGFR family members in gastric cancer.

Authors:  Chengcheng Yang; Dingli Song; Fengyu Zhao; Jie Wu; Boxiang Zhang; Hong Ren; Qi Sun; Sida Qin
Journal:  Front Oncol       Date:  2022-09-06       Impact factor: 5.738

Review 4.  Lenvatinib dose, efficacy, and safety in the treatment of multiple malignancies.

Authors:  Robert J Motzer; Matthew H Taylor; Thomas R Jeffry Evans; Takuji Okusaka; Hilary Glen; Gregory M Lubiniecki; Corina Dutcus; Alan D Smith; Chinyere E Okpara; Ziad Hussein; Seiichi Hayato; Toshiyuki Tamai; Vicky Makker
Journal:  Expert Rev Anticancer Ther       Date:  2022-04-07       Impact factor: 3.627

5.  Identification of epigenetic dysregulation gene markers and immune landscape in kidney renal clear cell carcinoma by comprehensive genomic analysis.

Authors:  Linli Xie; Shuang Wu; Rong He; Sisi Li; Xiaodan Lai; Zhe Wang
Journal:  Front Immunol       Date:  2022-08-18       Impact factor: 8.786

6.  Establishment and Validation of a Machine Learning Prediction Model Based on Big Data for Predicting the Risk of Bone Metastasis in Renal Cell Carcinoma Patients.

Authors:  Chan Xu; Wencai Liu; Chengliang Yin; Wanying Li; Jingjing Liu; Wanli Sheng; Haotong Tang; Wenle Li; Qingqing Zhang
Journal:  Comput Math Methods Med       Date:  2022-10-03       Impact factor: 2.809

Review 7.  Lenvatinib plus transarterial chemoembolization with or without immune checkpoint inhibitors for unresectable hepatocellular carcinoma: A review.

Authors:  Liwei Sun; Xuelong Xu; Fanguang Meng; Qian Liu; Hankang Wang; Xiaodong Li; Guijie Li; Feng Chen
Journal:  Front Oncol       Date:  2022-09-28       Impact factor: 5.738

  7 in total

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