Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

Full text
Author(s):
Show less -
Balancin, Marcelo Luiz [1] ; Teodoro, Walcy Rosolia [2] ; Farhat, Cecilia [1] ; de Miranda, Tomas Jurandir [2] ; Assato, Aline Kawassaki [1] ; de Souza Silva, Neila Aparecida [1] ; Velosa, Ana Paula [2] ; Falzoni, Roberto [1] ; Ab'Saber, Alexandre Muxfeldt [1] ; Roden, Anja C. [3] ; Capelozzi, Vera Luiza [1]
Total Authors: 11
Affiliation:
[1] Univ Sao Paulo, Dept Pathol, Fac Med, Ave Dr Arnaldo 455, Sala 1143, Sao Paulo BR-01246903 - Brazil
[2] Univ Sao Paulo, Hosp Clin, Fac Med, Rheumatol Div, Sao Paulo - Brazil
[3] Mayo Clin, Dept Lab Med & Pathol, Rochester, MN - USA
Total Affiliations: 3
Document type: Journal article
Source: CANCER MEDICINE; v. 9, n. 13 MAY 2020.
Web of Science Citations: 0
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 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 < .01) for mortality from MM at 40 months. Conclusion Morphometric analysis of Col V, CD8(+) T lymphocytes, and tumor cellularity can be used to identify patients with high risk of death from MM. (AU)

FAPESP's process: 18/20403-6 - Biomolecular markers of proliferation and remodeling in acute and chronic respiratory diseases: promising therapeutic targets
Grantee:Vera Luiza Capelozzi
Support Opportunities: Research Projects - Thematic Grants