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

Autor: Cecília Farhat, Ana Paula Pereira Velosa, Neila Aparecida de Souza Silva, Anja C. Roden, Walcy Rosolia Teodoro, Marcelo Luiz Balancin, Tomas Jurandir de Miranda, Aline Kawassaki Assato, Roberto Falzoni, Alexandre Muxfeldt Ab'Saber, Vera Luiza Capelozzi
Rok vydání: 2020
Předmět:
Male
0301 basic medicine
Cancer Research
extracellular matrix
Fluorescent Antibody Technique
CD8-Positive T-Lymphocytes
Biology
immunomodulation
lcsh:RC254-282
Risk Assessment
Collagen Type I
Extracellular matrix
03 medical and health sciences
Computational pathology
Matrix (mathematics)
Collagen type V
0302 clinical medicine
Risk Factors
Biomarkers
Tumor
Tumor Microenvironment
medicine
Humans
Radiology
Nuclear Medicine and imaging
Lymphocyte Count
Mesothelioma
Cluster analysis
In Situ Hybridization
Retrospective Studies
Original Research
Mesothelioma
Malignant
biomarkers
Middle Aged
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
medicine.disease
Immunohistochemistry
030104 developmental biology
Oncology
Tissue Array Analysis
collagen type V
mesothelioma
030220 oncology & carcinogenesis
Cancer research
Regression Analysis
Female
Risk of death
Cancer Prevention
cluster analysis
computational pathology
Zdroj: Cancer Medicine
Cancer Medicine, Vol 9, Iss 13, Pp 4836-4849 (2020)
ISSN: 2045-7634
DOI: 10.1002/cam4.3111
Popis: 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 clusters of MM that were independent of clinicopathologic features. The high‐risk cluster included MM with high tumor cellularity, high type V collagen (Col V) fiber density, and low CD8+ T lymphocyte density in the IMM. Our results showed that the risk of death was increased for patients with MM with high tumor cellularity (OR = 1.63, 95% CI = 1.29‐2.89, P = .02), overexpression of Col V (OR = 2.60, 95% CI = 0.98‐6.84, P = .04), and decreased CD8 T lymphocytes (OR = 1.001, 95% CI = 0.995‐1.007, P = .008). The hazard ratio for the high‐risk cluster was 2.19 (95% CI = 0.54‐3.03, P
Malignant mesothelioma (MM) and the immune matricial microenvironment (IMM). Hierarchical cluster analysis revealed two distinct clusters of patients with either low or high risk for death of MM. Collagen V, CD8+ T lymphocytes and tumour cellularity densities characterized high and low risk subgroups with impact on outcome.
Databáze: OpenAIRE
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