作者
Changhee Park, Kwon Joong Na, Hongyoon Choi, Chan-Young Ock, Seunggyun Ha, Miso Kim, Samina Park, Bhumsuk Keam, Tae Min Kim, Jin Chul Paeng, In Kyu Park, Chang Hyun Kang, Dong-Wan Kim, Gi-Jeong Cheon, Keon Wook Kang, Young Tae Kim, Dae Seog Heo
发表日期
2020
期刊
Theranostics
卷号
10
期号
23
页码范围
10838
出版商
Ivyspring International Publisher
简介
Rationale: The clinical application of biomarkers reflecting tumor immune microenvironment is hurdled by the invasiveness of obtaining tissues despite its importance in immunotherapy. We developed a deep learning-based biomarker which noninvasively estimates a tumor immune profile with fluorodeoxyglucose positron emission tomography (FDG-PET) in lung adenocarcinoma (LUAD).
Methods: A deep learning model to predict cytolytic activity score (CytAct) using semi-automatically segmented tumors on FDG-PET trained by a publicly available dataset paired with tissue RNA sequencing (n= 93). This model was validated in two independent cohorts of LUAD: SNUH (n= 43) and The Cancer Genome Atlas (TCGA) cohort (n= 16). The model was applied to the immune checkpoint blockade (ICB) cohort, which consists of patients with metastatic LUAD who underwent ICB treatment (n= 29).
Results: The predicted …
学术搜索中的文章
C Park, KJ Na, H Choi, CY Ock, S Ha, M Kim, S Park… - Theranostics, 2020