癌症研究
黑色素瘤
免疫疗法
抗体
免疫学
癌症
单克隆抗体
癌症免疫疗法
生物
医学
免疫系统
内科学
作者
Ikuan Sam,Nadine Benhamouda,Marina Alkatrib,Cecile Gonnin,Peter J. Siska,Stéphane Oudard,Célèste Lebbe,Éric Tartour
标识
DOI:10.1158/1078-0432.ccr-24-2668
摘要
Abstract The CD27-CD70 interaction is recognized as a positive costimulatory pathway for T cell priming and expansion. However, recent studies showed that chronic CD27-CD70 interaction in cancer can lead to apoptosis of T cells, rendering them dysfunctional. CD70 is expressed not only by hematological tumors but also by solid tumor cells. This expression is regulated by hypoxia-induced factor (HIF), Epstein-Barr virus (EBV) infection, and epithelial-mesenchymal transition. CD27 expression on intratumoral T cells identifies exhausted and dysfunctional T cells, as well as regulatory T cells with enhanced immunosuppressive activity. Given the preferential expression of CD70 on certain tumor cells, several therapeutic approaches including antibody-drug conjugate, anti-CD70 CAR T cells, and anti-CD70 monoclonal antibodies (mAb), have been investigated in various preclinical models and clinical trials. To date, the most significant clinical results are observed in hematological malignancies. However, no therapeutic tools specifically targeting the deleterious CD27-CD70 interaction have been developed. Most CD70-targeting mAb also deplete other CD70-expressing cells, such as activated T cells. Interestingly, chronic CD27-CD70 interaction results in the release of detectable soluble CD27 in patient plasma. The presence of high levels of soluble CD27 in plasma correlates with resistance to anti-PD-(L)1 in renal cancer, melanoma, and non-small cell lung cancer. Conversely, the absence of a predictive impact soluble CD27 in melanoma patients treated with the more toxic combination of anti-PD-1 and anti-CTLA-4 may justify therapeutic escalation with this regimen. Thus, the CD27-CD70 axis may serve as both a potential biomarker to guide the choice of immunotherapy and a novel clinical target.
科研通智能强力驱动
Strongly Powered by AbleSci AI