journal article·2023-04

Understanding Suboptimal Response to Immune Checkpoint Inhibitors

Mojun Zhu, Henan Zhang, Katrina S. Pedersen, Nathan R. Foster, Brandy L. Jaszewski, Xin Liu, Jacob B. Hirdler, Zesheng An, Tanios S. Bekaii‐Saab, Thorvardur R. Halfdanarson, Patrick M. Boland, Yiyi Yan, Joleen H. Hubbard, Wen Wee Ma, Harry H. Yoon, Alexander Revzin, Martin E. Fernandez‐Zapico, Michael J. Overman, Robert R. McWilliams, Haidong Dong

Advanced Biology· Volume 7· Issue 4
Publisher page

Abstract

Abstract Immune checkpoint inhibitors (ICIs), as a novel class of anticancer therapy, can be more efficacious and less toxic than chemotherapy, but their clinical success is confined to certain tumor types. Elucidating their targets, mechanisms and scope of action, and potential synergism with chemotherapy and/or targeted therapies are critical to widen their clinical indications. Treatment response to an ICI targeting programmed death‐1 (anti‐PD‐1) is sought to be understood here by conducting a preplanned correlative analysis of a phase II clinical trial in patients with small bowel adenocarcinoma (SBA). The cytolytic capacity of circulating immune cells in cancer patients using a novel ex vivo cytotoxicity assay is evaluated, and the utility of circulating biomarkers is investigated to predict and monitor the treatment effect of anti‐PD‐1. Baseline expression of Bim and NKG7 and upregulation of CX3CR1 in circulating T cells are associated with the clinical benefit of anti‐PD‐1 in patients with SBA. Overall, these findings suggest that the frequency and cytolytic capacity of circulating, effector immune cells may differentiate clinical response to ICIs, providing a strong rationale to support immune monitoring using patient peripheral blood.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Cancer Immunotherapy and Biomarkers · Immune Cell Function and Interaction · Pharmacological Receptor Mechanisms and Effects

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Medical Oncology Mayo Clinic Rochester MN 55905 USA

Urology and Immunology Mayo Clinic Rochester MN 55905 USA

Division of Oncology Washington University St. Louise MO 63110 USA

Division of Biomedical Statistics and Informatics Mayo Clinic Rochester MN 55905 USA

Division of Hematology/Oncology Mayo Clinic Phoenix AZ 85054 USA

Rutgers Cancer Institute of New Jersey New Brunswick NJ 08901 USA

Physiology and Biomedical Engineering Mayo Clinic Rochester MN 55905 USA

MD Anderson Cancer Center Houston TX 77030 USA

Funding

Center for Individualized Medicine, Mayo Clinic

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