| Literature DB >> 33658501 |
Takayoshi Yamauchi1, Toshifumi Hoki1,2, Takaaki Oba1, Vaibhav Jain1, Hongbin Chen3,4, Kristopher Attwood5, Sebastiano Battaglia1,6, Saby George3,4, Gurkamal Chatta3, Igor Puzanov3, Carl Morrison7, Kunle Odunsi1,8,9,10, Brahm H Segal3,4,9, Grace K Dy3, Marc S Ernstoff3,4,11, Fumito Ito12,13,14,15.
Abstract
Immune checkpoint inhibitors (ICI) have revolutionized treatment for various cancers; however, durable response is limited to only a subset of patients. Discovery of blood-based biomarkers that reflect dynamic change of the tumor microenvironment, and predict response to ICI, will markedly improve current treatment regimens. Here, we investigate CX3C chemokine receptor 1 (CX3CR1), a marker of T-cell differentiation, as a predictive correlate of response to ICI therapy. Successful treatment of tumor-bearing mice with ICI increases the frequency and T-cell receptor clonality of the peripheral CX3CR1+CD8+ T-cell subset that includes an enriched repertoire of tumor-specific and tumor-infiltrating CD8+ T cells. Furthermore, an increase in the frequency of the CX3CR1+ subset in circulating CD8+ T cells early after initiation of anti-PD-1 therapy correlates with response and survival in patients with non-small cell lung cancer. Collectively, these data support T-cell CX3CR1 expression as a blood-based dynamic early on-treatment predictor of response to ICI therapy.Entities:
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Year: 2021 PMID: 33658501 DOI: 10.1038/s41467-021-21619-0
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919