Combination IFNβ and Membrane-Stable CD40L Maximize Tumor Dendritic Cell Activation and Lymph Node Trafficking to Elicit Systemic T-cell Immunity

التفاصيل البيبلوغرافية
العنوان: Combination IFNβ and Membrane-Stable CD40L Maximize Tumor Dendritic Cell Activation and Lymph Node Trafficking to Elicit Systemic T-cell Immunity
المؤلفون: Hong Zheng, Xiaoqing Yu, Mohammed L. Ibrahim, Dana Foresman, Mengyu Xie, Joseph O. Johnson, Theresa A. Boyle, Brian Ruffell, Bradford A. Perez, Scott J. Antonia, Neal Ready, Andreas N. Saltos, Mark J. Cantwell, Amer A. Beg
المصدر: Cancer Immunology Research. 11:466-485
بيانات النشر: American Association for Cancer Research (AACR), 2023.
سنة النشر: 2023
مصطلحات موضوعية: Cancer Research, Immunology
الوصف: Oncolytic virus therapies induce the direct killing of tumor cells and activation of conventional dendritic cells (cDC); however, cDC activation has not been optimized with current therapies. We evaluated the adenoviral delivery of engineered membrane-stable CD40L (MEM40) and IFNβ to locally activate cDCs in mouse tumor models. Combined tumor MEM40 and IFNβ expression induced the highest cDC activation coupled with increased lymph node migration, increased systemic antitumor CD8+ T-cell responses, and regression of established tumors in a cDC1-dependent manner. MEM40 + IFNβ combined with checkpoint inhibitors led to effective control of distant tumors and lung metastases. An oncolytic adenovirus (MEM-288) expressing MEM40 + IFNβ in phase I clinical testing induced cancer cell loss concomitant with enhanced T-cell infiltration and increased systemic presence of tumor T-cell clonotypes in non–small cell lung cancer (NSCLC) patients. This approach to simultaneously target two major DC-activating pathways has the potential to significantly affect the solid tumor immunotherapy landscape.
تدمد: 2326-6074
2326-6066
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::eac691aa91b18f80c6b6947b60ebee43Test
https://doi.org/10.1158/2326-6066.cir-22-0927Test
رقم الانضمام: edsair.doi...........eac691aa91b18f80c6b6947b60ebee43
قاعدة البيانات: OpenAIRE