A novel histopathological feature of spatial tumor-stroma distribution predicts lung squamous cell carcinoma prognosis.

ABSTRACT: We used a mathematical approach to investigate the quantitative spatial profile of cancer cells and stroma in lung squamous cell carcinoma tissues and its clinical relevance. The study enrolled 132 patients with 3-5 cm peripheral lung squamous cell carcinoma, resected at the National Cancer Center Hospital East. We utilized machine learning to segment cancer cells and stroma on cytokeratin AE1/3 immunohistochemistry images. Subsequently, a spatial form of Shannon's entropy was employed to precisely quantify the spatial distribution of cancer cells and stroma. This quantification index was defined as the spatial tumor-stroma distribution index (STSDI). The patients were classified as STSDI-low and -high groups for clinicopathological comparison. The STSDI showed no significant association w

SUBMITTER: Taki T 

PROVIDER: S-EPMC11531967 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature