Literature DB >> 31382144

Immune checkpoint inhibitor combinations: Current efforts and important aspects for success.

Edo Kon1, Itai Benhar2.   

Abstract

Immune checkpoint inhibitors (ICI) have emerged as a remarkable treatment option for diverse cancer types. Currently, ICIs are approved for an expanding array of cancer indications. However, the majority of patients still do not demonstrate a durable long-term response following ICI therapy. In addition, many patients receiving ICI therapy develop immune-related adverse events (irAEs) affecting a wide variety of organs. To increase the percentage of patients who benefit from ICI therapy and to reduce the occurrence of irAEs, there is an ongoing effort to combine current ICIs with novel checkpoints inhibitors or other therapeutic approaches to achieve a synergistic effect which is larger than the sum of its parts. In this review we highlight the essential factors for more effective ICI combinations. We describe how the design of these strategies should be driven by the tumor's immunological context. We analyze current combination strategies and describe how they can be improved to unleash the immune system's full anti-cancer potential as well as convert immunologically "cold" tumors into "hot" ones. We examine the efforts to combine current ICIs (PD-1 and CTLA-4) with novel checkpoints (TIM-3, LAG-3, VISTA, TIGIT and others), immunotherapies (CAR-T cells and Cancer Vaccines) and delivery strategies (bispecific antibodies and other delivery platforms). Importantly, we outline how can one optimally combine ICIs with traditional pillars of cancer therapy such as radiation therapy (RT) and chemotherapy. We discuss the considerations regarding successful combination with RT and chemotherapy; these include fractionation schemes and selection of chemotherapeutics which can both directly eradicate cancer cells as well as increase the infiltration of immune cells into tumors. Finally, we critically assess these approaches and attempt to establish their strengths and weaknesses based on pre-clinical and clinical data.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Angiogenesis; CAR-T; Chemotherapy; Clinic; Immunotherapy; RNA cancer vaccines; Radiation therapy; Resistance; Tumor microenvironment

Mesh:

Substances:

Year:  2019        PMID: 31382144     DOI: 10.1016/j.drup.2019.07.004

Source DB:  PubMed          Journal:  Drug Resist Updat        ISSN: 1368-7646            Impact factor:   18.500


  32 in total

Review 1.  Mechanism-based treatment of cancer with immune checkpoint inhibitor therapies.

Authors:  Yara Abdou; Manu Pandey; Maithreyi Sarma; Shrunjal Shah; Jeffrey Baron; Marc S Ernstoff
Journal:  Br J Clin Pharmacol       Date:  2020-05-12       Impact factor: 4.335

2.  In vivo multidimensional CRISPR screens identify Lgals2 as an immunotherapy target in triple-negative breast cancer.

Authors:  Peng Ji; Yue Gong; Ming-Liang Jin; Huai-Liang Wu; Lin-Wei Guo; Yu-Chen Pei; Wen-Jun Chai; Yi-Zhou Jiang; Yin Liu; Xiao-Yan Ma; Gen-Hong Di; Xin Hu; Zhi-Ming Shao
Journal:  Sci Adv       Date:  2022-06-29       Impact factor: 14.957

Review 3.  IGSF11 and VISTA: a pair of promising immune checkpoints in tumor immunotherapy.

Authors:  Xi-Yang Tang; Yan-Lu Xiong; Xian-Gui Shi; Ya-Bo Zhao; An-Ping Shi; Kai-Fu Zheng; Yu-Jian Liu; Tao Jiang; Nan Ma; Jin-Bo Zhao
Journal:  Biomark Res       Date:  2022-07-13

4.  YPD-30, a prodrug of YPD-29B, is an oral small-molecule inhibitor targeting PD-L1 for the treatment of human cancer.

Authors:  Fangfang Lai; Ming Ji; Lei Huang; Yunchen Wang; Nina Xue; Tingting Du; Kai Dong; Xiaoqing Yao; Jing Jin; Zhiqiang Feng; Xiaoguang Chen
Journal:  Acta Pharm Sin B       Date:  2022-03-04       Impact factor: 14.903

5.  Repurposing screen identifies Amlodipine as an inducer of PD-L1 degradation and antitumor immunity.

Authors:  Chushu Li; Han Yao; Huanbin Wang; Jing-Yuan Fang; Jie Xu
Journal:  Oncogene       Date:  2020-12-15       Impact factor: 9.867

Review 6.  Combination Strategies for Immune-Checkpoint Blockade and Response Prediction by Artificial Intelligence.

Authors:  Florian Huemer; Michael Leisch; Roland Geisberger; Thomas Melchardt; Gabriel Rinnerthaler; Nadja Zaborsky; Richard Greil
Journal:  Int J Mol Sci       Date:  2020-04-19       Impact factor: 5.923

7.  Quantification of Pharmacokinetic Profiles of PD-1/PD-L1 Antibodies by Validated ELISAs.

Authors:  Sara Zalba; Ana M Contreras-Sandoval; Eva Martisova; Reno Debets; Christian Smerdou; María Jesús Garrido
Journal:  Pharmaceutics       Date:  2020-06-26       Impact factor: 6.321

8.  An immune relevant signature for predicting prognoses and immunotherapeutic responses in patients with muscle-invasive bladder cancer (MIBC).

Authors:  Wen Jiang; Dandan Zhu; Chenghe Wang; Yu Zhu
Journal:  Cancer Med       Date:  2020-02-25       Impact factor: 4.452

Review 9.  The yin and yang of co-inhibitory receptors: toward anti-tumor immunity without autoimmunity.

Authors:  Alexandra Schnell; Lloyd Bod; Asaf Madi; Vijay K Kuchroo
Journal:  Cell Res       Date:  2020-01-23       Impact factor: 25.617

Review 10.  Towards a Systems Immunology Approach to Unravel Responses to Cancer Immunotherapy.

Authors:  Laura Bracci; Alessandra Fragale; Lucia Gabriele; Federica Moschella
Journal:  Front Immunol       Date:  2020-10-22       Impact factor: 7.561

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