Sana D Karam, Jacob Gadwa, Justin Yu, Miles Piper, Michael W Knitz, Laurel B Darragh, Nicholas A Olimpo, Sophia Corbo, Brooke Neupert, Jessica I Beynor, Alexander Nguyen, Chloe Hodgson, Khalid Nady Mohammed Abdelazeem, Diemmy Nguyen, Anthony Saviola, Mudita Pincha, Christian Klein, Maria Amann
{"title":"Divergent response to radio-immunotherapy is defined by intrinsic features of the tumor microenvironment","authors":"Sana D Karam, Jacob Gadwa, Justin Yu, Miles Piper, Michael W Knitz, Laurel B Darragh, Nicholas A Olimpo, Sophia Corbo, Brooke Neupert, Jessica I Beynor, Alexander Nguyen, Chloe Hodgson, Khalid Nady Mohammed Abdelazeem, Diemmy Nguyen, Anthony Saviola, Mudita Pincha, Christian Klein, Maria Amann","doi":"10.1101/2024.09.06.611679","DOIUrl":null,"url":null,"abstract":"Background: Treatment with immunotherapy can elicit varying responses across cancer types, and the mechanistic underpinnings that contribute to response vs. progression remain poorly understood. However, to date there are few preclinical models that accurately represent these disparate disease scenarios.\nMethods: Using combinatorial radio-immunotherapy consisting of PD-1 blockade, IL2Rβγ biased signaling, and OX40 agonism we were able to generate preclinical tumor models with conflicting responses, where head and neck squamous cell carcinoma (HNSCC) models responds and pancreatic ductal adenocarcinoma (PDAC) progresses.\nResults: By modeling these disparate states, we find that regulatory T cells (Tregs) are expanded in PDAC tumors undergoing treatment, constraining tumor reactive CD8 T cell activity. Consequently, the depletion of Tregs restores the therapeutic efficacy of our treatment and abrogates the disparity between models. Moreover, we show that through heterotopic implantations that the site of tumor development defines the response to therapy, as implantation of HNSCC tumors into the pancreas resulted in comparable levels of tumor progression.\nConclusions: This work highlights complexity of combining immunotherapies within the tumor microenvironment and further defines the immune and non-immune components of the tumor microenvironment as an intrinsic feature of immune suppression.","PeriodicalId":501182,"journal":{"name":"bioRxiv - Immunology","volume":"73 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"bioRxiv - Immunology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.09.06.611679","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Treatment with immunotherapy can elicit varying responses across cancer types, and the mechanistic underpinnings that contribute to response vs. progression remain poorly understood. However, to date there are few preclinical models that accurately represent these disparate disease scenarios.
Methods: Using combinatorial radio-immunotherapy consisting of PD-1 blockade, IL2Rβγ biased signaling, and OX40 agonism we were able to generate preclinical tumor models with conflicting responses, where head and neck squamous cell carcinoma (HNSCC) models responds and pancreatic ductal adenocarcinoma (PDAC) progresses.
Results: By modeling these disparate states, we find that regulatory T cells (Tregs) are expanded in PDAC tumors undergoing treatment, constraining tumor reactive CD8 T cell activity. Consequently, the depletion of Tregs restores the therapeutic efficacy of our treatment and abrogates the disparity between models. Moreover, we show that through heterotopic implantations that the site of tumor development defines the response to therapy, as implantation of HNSCC tumors into the pancreas resulted in comparable levels of tumor progression.
Conclusions: This work highlights complexity of combining immunotherapies within the tumor microenvironment and further defines the immune and non-immune components of the tumor microenvironment as an intrinsic feature of immune suppression.