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Citations to this article

Combining STING-based neoantigen-targeted vaccine with checkpoint modulators enhances antitumor immunity in murine pancreatic cancer
Heather L. Kinkead, … , Elizabeth M. Jaffee, Neeha Zaidi
Heather L. Kinkead, … , Elizabeth M. Jaffee, Neeha Zaidi
Published October 18, 2018
Citation Information: JCI Insight. 2018;3(20):e122857. https://doi.org/10.1172/jci.insight.122857.
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Research Article Oncology

Combining STING-based neoantigen-targeted vaccine with checkpoint modulators enhances antitumor immunity in murine pancreatic cancer

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Abstract

Tumor neoantigens arising from somatic mutations in the cancer genome are less likely to be subject to central immune tolerance and are therefore attractive targets for vaccine immunotherapy. We utilized whole-exome sequencing, RNA sequencing (RNASeq), and an in silico immunogenicity prediction algorithm, NetMHC, to generate a neoantigen-targeted vaccine, PancVAX, which was administered together with the STING adjuvant ADU-V16 to mice bearing pancreatic adenocarcinoma (Panc02) cells. PancVAX activated a neoepitope-specific T cell repertoire within the tumor and caused transient tumor regression. When given in combination with two checkpoint modulators, namely anti–PD-1 and agonist OX40 antibodies, PancVAX resulted in enhanced and more durable tumor regression and a survival benefit. The addition of OX40 to vaccine reduced the coexpression of T cell exhaustion markers, Lag3 and PD-1, and resulted in rejection of tumors upon contralateral rechallenge, suggesting the induction of T cell memory. Together, these data provide the framework for testing personalized neoantigen-based combinatorial vaccine strategies in patients with pancreatic and other nonimmunogenic cancers.

Authors

Heather L. Kinkead, Alexander Hopkins, Eric Lutz, Annie A. Wu, Mark Yarchoan, Kayla Cruz, Skylar Woolman, Teena Vithayathil, Laura H. Glickman, Chudi O. Ndubaku, Sarah M. McWhirter, Thomas W. Dubensky Jr., Todd D. Armstrong, Elizabeth M. Jaffee, Neeha Zaidi

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Total citations by year

Year: 2025 2024 2023 2022 2021 2020 2019 2018 Total
Citations: 9 13 14 16 24 19 13 2 110
Citation information
This citation data is accumulated from CrossRef, which receives citation information from participating publishers, including this journal. Not all publishers participate in CrossRef, so this information is not comprehensive. Additionally, data may not reflect the most current citations to this article, and the data may differ from citation information available from other sources (for example, Google Scholar, Web of Science, and Scopus).

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