Immunogenic chemotherapy: great potential for improving response rates

Front Oncol. 2023 Dec 6:13:1308681. doi: 10.3389/fonc.2023.1308681. eCollection 2023.

Abstract

The activation of anti-tumor immunity is critical in treating cancers. Recent studies indicate that several chemotherapy agents can stimulate anti-tumor immunity by inducing immunogenic cell death and durably eradicate tumors. This suggests that immunogenic chemotherapy holds great potential for improving response rates. However, chemotherapy in practice has only had limited success in inducing long-term survival or cure of cancers when used either alone or in combination with immunotherapy. We think that this is because the importance of dose, schedule, and tumor model dependence of chemotherapy-activated anti-tumor immunity is under-appreciated. Here, we review immune modulation function of representative chemotherapy agents and propose a model of immunogenic chemotherapy-induced long-lasting responses that rely on synergetic interaction between killing tumor cells and inducing anti-tumor immunity. We comb through several chemotherapy treatment schedules, and identify the needs for chemotherapy dose and schedule optimization and combination therapy with immunotherapy when chemotherapy dosage or immune responsiveness is too low. We further review tumor cell intrinsic factors that affect the optimal chemotherapy dose and schedule. Lastly, we review the biomarkers indicating responsiveness to chemotherapy and/or immunotherapy treatments. A deep understanding of how chemotherapy activates anti-tumor immunity and how to monitor its responsiveness can lead to the development of more effective chemotherapy or chemo-immunotherapy, thereby improving the efficacy of cancer treatment.

Keywords: anti-tumor immune response; biomarker; chemotherapy; dose and schedule; immunogenic cell death; immunotherapy.

Publication types

  • Review

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported in part by grants from the Natural Science Foundation of Zhejiang Province (LY20H160046 to LY, LY19H160034 to JW, LY20H160043 to DC); Research Program for Medicine and Health Science and Technology of Zhejiang Province (2021KY080 to LY, 2020KY036 to JW, 2020KY031 to DC); Zhejiang Province Traditional Chinese Medicine Science and Technology Project (2020ZA017 to XH; 2020ZB026 to JW) and Zhejiang People’s Hospital Research Startup Fund (ZRY2019A003 to LY, C-2017-QDJJ01 to JW).