Literature DB >> 29664018

Increased vessel perfusion predicts the efficacy of immune checkpoint blockade.

Xichen Zheng1, Zhaoxu Fang1, Xiaomei Liu1, Shengming Deng1, Pei Zhou1, Xuexiang Wang1, Chenglin Zhang2, Rongping Yin2, Haitian Hu1, Xiaolan Chen3, Yijie Han4, Yun Zhao1, Steven H Lin5, Songbing Qin6, Xiaohua Wang7, Betty Ys Kim8, Penghui Zhou9, Wen Jiang5, Qingyu Wu1, Yuhui Huang1.   

Abstract

Immune checkpoint blockade (ICB) has demonstrated curative potential in several types of cancer, but only for a small number of patients. Thus, the identification of reliable and noninvasive biomarkers for predicting ICB responsiveness is an urgent unmet need. Here, we show that ICB increased tumor vessel perfusion in treatment-sensitive EO771 and MMTV-PyVT breast tumor as well as CT26 and MCA38 colon tumor models, but not in treatment-resistant MCaP0008 and 4T1 breast tumor models. In the sensitive tumor models, the ability of anti-cytotoxic T lymphocyte-associated protein 4 or anti-programmed cell death 1 therapy to increase vessel perfusion strongly correlated with its antitumor efficacy. Moreover, globally enhanced tumor vessel perfusion could be detected by Doppler ultrasonography before changes in tumor size, which predicted final therapeutic efficacy with more than 90% sensitivity and specificity. Mechanistically, CD8+ T cell depletion, IFN-γ neutralization, or implantation of tumors in IFN-γ receptor knockout mice abrogated the vessel perfusion enhancement and antitumor effects of ICB. These results demonstrated that ICB increased vessel perfusion by promoting CD8+ T cell accumulation and IFN-γ production, indicating that increased vessel perfusion reflects the successful activation of antitumor T cell immunity by ICB. Our findings suggest that vessel perfusion can be used as a novel noninvasive indicator for predicting ICB responsiveness.

Entities:  

Keywords:  Cancer immunotherapy; Immunology; Vascular Biology

Mesh:

Substances:

Year:  2018        PMID: 29664018      PMCID: PMC5957454          DOI: 10.1172/JCI96582

Source DB:  PubMed          Journal:  J Clin Invest        ISSN: 0021-9738            Impact factor:   14.808


  46 in total

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