Radiomic features and tumor immune microenvironment associated with anaplastic lymphoma kinase-rearranged lung adenocarcinoma and their prognostic value DOI Creative Commons
Ying Han,

Wenya Feng,

Huaxin Li

et al.

Frontiers in Genetics, Journal Year: 2025, Volume and Issue: 16

Published: May 1, 2025

To identify radiomic features from preoperative computed tomography (CT) images and characteristics of the tumor immune microenvironment (TIME) associated with anaplastic lymphoma kinase (ALK) rearrangement in patients lung adenocarcinomas their prognostic value predicting recurrence or metastases after surgery. This retrospective study included 66 ALK-positive ALK-negative who underwent surgical resected adenocarcinoma. The number CD8+ T cells Human leukocyte antigen class I (HLA-I)/programmed death ligand 1 (PD-L1) expression were determined using immunohistochemistry. Radiomic extracted CT images. Combined radiomic, clinicopathological, clinicopathological-radiomic models built to predict ALK rearrangements. models' prediction performance was analyzed receiver operating characteristic (ROC) curves five-fold cross-validation. Prediction for determining disease-free survival (DFS) ALK-rearranged developed, C-index internal cross-validation calculated evaluate models. HLA-I PD-L1 negatively (both P < 0.001). ROC curve indicated areas under 0.763, 0.817, 0.878 radiomics, clinicopathology, combined rearrangement, respectively. model showed significant improvement compared clinicopathological (P = 0.02) radiomics 0.001) alone. validation C-indices 0.752, 0.712, 0.808 DFS patients, a demonstrated potential role TIME identifying rearrangements

Language: Английский

Radiomic features and tumor immune microenvironment associated with anaplastic lymphoma kinase-rearranged lung adenocarcinoma and their prognostic value DOI Creative Commons
Ying Han,

Wenya Feng,

Huaxin Li

et al.

Frontiers in Genetics, Journal Year: 2025, Volume and Issue: 16

Published: May 1, 2025

To identify radiomic features from preoperative computed tomography (CT) images and characteristics of the tumor immune microenvironment (TIME) associated with anaplastic lymphoma kinase (ALK) rearrangement in patients lung adenocarcinomas their prognostic value predicting recurrence or metastases after surgery. This retrospective study included 66 ALK-positive ALK-negative who underwent surgical resected adenocarcinoma. The number CD8+ T cells Human leukocyte antigen class I (HLA-I)/programmed death ligand 1 (PD-L1) expression were determined using immunohistochemistry. Radiomic extracted CT images. Combined radiomic, clinicopathological, clinicopathological-radiomic models built to predict ALK rearrangements. models' prediction performance was analyzed receiver operating characteristic (ROC) curves five-fold cross-validation. Prediction for determining disease-free survival (DFS) ALK-rearranged developed, C-index internal cross-validation calculated evaluate models. HLA-I PD-L1 negatively (both P < 0.001). ROC curve indicated areas under 0.763, 0.817, 0.878 radiomics, clinicopathology, combined rearrangement, respectively. model showed significant improvement compared clinicopathological (P = 0.02) radiomics 0.001) alone. validation C-indices 0.752, 0.712, 0.808 DFS patients, a demonstrated potential role TIME identifying rearrangements

Language: Английский

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