AUTHOR=Montoya Chris , Spieler Benjamin , Welford Scott M. , Kwon Deukwoo , Pra Alan Dal , Lopes Gilberto , Mihaylov Ivaylo B. 

TITLE=Predicting response to immunotherapy in non-small cell lung cancer- from bench to bedside

JOURNAL=Frontiers in Oncology

VOLUME=Volume 13 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2023.1225720

DOI=10.3389/fonc.2023.1225720

ISSN=2234-943X

ABSTRACT=For most patients with advanced non-small cell lung cancer, immunotherapy improves disease response compared with conventional chemotherapy. However, resistance to immunotherapy remains common. Models able to predict response to immunotherapy would be helpful in guiding selection for intensified or alternative regimens, further personalizing patient care. FDA-approved biomarkers of immunotherapy response require tissue sampling and advanced laboratory techniques. Previously, our group generated a murine lung cancer model predictive of immunotherapy response, incorporating only non-invasive baseline variables including radiomic features. In the current retrospective analysis, pretreatment radiomics features were used to develop models predictive of immunotherapy response both in mice and in actual patients, suggesting the translatability of the findings. This study supports the use of radiomics as a tool to augment baseline clinical data in guiding precision cancer therapy for patients with advanced non-small cell lung cancer.