An integrative histopathologic clustering model based on immuno-matrix elements to predict the risk of death in malignant mesothelioma.

ABSTRACT:

Objective

Previous studies have reported a close relationship between malignant mesothelioma (MM) and the immune matricial microenvironment (IMM). One of the major problems in these studies is the lack of adequate adjustment for potential confounders. Therefore, the aim of this study was to identify and quantify risk factors such as IMM and various tumor characteristics and their association with the subtype of MM and survival.

Methods

We examined IMM and other tumor markers in tumor tissues from 82 patients with MM. These markers were evaluated by histochemistry, immunohistochemistry, immunofluorescence, and morphometry. Logistic regression analysis, cluster analysis, and Cox regression analysis were performed.

Results

Hierarchical cluster analysis revealed two clust

SUBMITTER: Balancin ML 

PROVIDER: S-EPMC7333849 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature