Literature DB >> 31302573

The promise of combining cancer vaccine and checkpoint blockade for treating HPV-related cancer.

Takeo Shibata1, Benjamin J Lieblong2, Toshiyuki Sasagawa3, Mayumi Nakagawa4.   

Abstract

Human papillomavirus (HPV)-associated intraepithelial neoplasia or cancers are ideal candidates for cancer immunotherapy since HPV oncoproteins, such as E6 and E7 proteins of high-risk HPVs, could be utilized as foreign antigens. In HPV-associated cancers as well as nonviral cancers, the cancer cells may evade host immunity through the expression of immune checkpoint molecules, downregulation of human leukocyte antigen, and activation of immune regulatory cells. Because of these immune suppressive mechanisms, HPV therapeutic vaccines have shown little efficacy against HPV-associated cancers, although they have shown efficacy in treating HPV-associated intraepithelial neoplasias. Recently, checkpoint blockade emerged as a promising new treatment for solid cancers; however, these therapies have shown only modest efficacy against HPV-associated cancers. Here we reviewed literature analyzing a combinatory therapy using an immune checkpoint inhibitor and an HPV therapeutic vaccine for treating HPV-associated cancers to compensate for shortfalls of each monotherapy. Complimentary modes of T cell activation would be deployed; as vaccines would directly stimulate the T cells, while checkpoint inhibitors would do so by releasing inhibition. Some promising studies using animal models and early human clinical trials raised a possibility that such combinations may be efficacious in regressing HPV-associated cancers. Epitope spreading (the phenomenon in which non-targeted antigens become new targets of immune response) may play a critical role mechanistically. Currently ongoing studies will shed light as to whether such combination therapy would indeed be a promising new treatment paradigm. Current and future studies must also determine the adverse effect profile of such a combination treatment.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cervical cancer; Checkpoint blockade; Human papillomavirus; Immunotherapy; Therapeutic vaccine

Mesh:

Substances:

Year:  2019        PMID: 31302573      PMCID: PMC6710123          DOI: 10.1016/j.ctrv.2019.07.001

Source DB:  PubMed          Journal:  Cancer Treat Rev        ISSN: 0305-7372            Impact factor:   12.111


  18 in total

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Journal:  Acta Otorhinolaryngol Ital       Date:  2020-04       Impact factor: 2.124

Review 2.  The Immune Microenvironment in Human Papilloma Virus-Induced Cervical Lesions-Evidence for Estrogen as an Immunomodulator.

Authors:  Jayshree R S
Journal:  Front Cell Infect Microbiol       Date:  2021-04-30       Impact factor: 5.293

3.  Identification of immune subtypes of cervical squamous cell carcinoma predicting prognosis and immunotherapy responses.

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4.  A predictive study of metabolism reprogramming in cervical carcinoma.

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5.  Regulations of miR-183-5p and Snail-Mediated Shikonin-Reduced Epithelial-Mesenchymal Transition in Cervical Cancer Cells.

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6.  Heterologous prime-boost immunization co-targeting dual antigens inhibit tumor growth and relapse.

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Journal:  Oncoimmunology       Date:  2020-11-09       Impact factor: 8.110

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8.  Live-attenuated lymphocytic choriomeningitis virus-based vaccines for active immunotherapy of HPV16-positive cancer.

Authors:  Sarah Schmidt; Weldy V Bonilla; Andrea Reiter; Felix Stemeseder; Theresa Kleissner; Daniel Oeler; Ursula Berka; Ahmed El-Gazzar; Bettina Kiefmann; Sophie C Schulha; Josipa Raguz; Mohamed Habbeddine; Marilies Scheinost; Xiaoping Qing; Henning Lauterbach; Igor Matushansky; Daniel D Pinschewer; Klaus K Orlinger
Journal:  Oncoimmunology       Date:  2020-09-15       Impact factor: 8.110

9.  PD-L1 expression in anogenital and oropharyngeal squamous cell carcinomas associated with different clinicopathological features, HPV status and prognosis: a meta-analysis.

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10.  29 immune-related genes pairs signature predict the prognosis of cervical cancer patients.

Authors:  Han Nie; Fanqin Bu; Jiasheng Xu; Taoshen Li; Jun Huang
Journal:  Sci Rep       Date:  2020-08-25       Impact factor: 4.379

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