An integrative histopathologic clustering model based on immuno‐matrix elements to predict the risk of death in malignant mesothelioma. (11th May 2020)
- Record Type:
- Journal Article
- Title:
- An integrative histopathologic clustering model based on immuno‐matrix elements to predict the risk of death in malignant mesothelioma. (11th May 2020)
- Main Title:
- An integrative histopathologic clustering model based on immuno‐matrix elements to predict the risk of death in malignant mesothelioma
- Authors:
- Balancin, Marcelo Luiz
Teodoro, Walcy Rosolia
Farhat, Cecilia
de Miranda, Tomas Jurandir
Assato, Aline Kawassaki
de Souza Silva, Neila Aparecida
Velosa, Ana Paula
Falzoni, Roberto
Ab'Saber, Alexandre Muxfeldt
Roden, Anja C.
Capelozzi, Vera Luiza - Abstract:
- 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 tumorAbstract: 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. Abstract : 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. … (more)
- Is Part Of:
- Cancer medicine. Volume 9:Number 13(2020)
- Journal:
- Cancer medicine
- Issue:
- Volume 9:Number 13(2020)
- Issue Display:
- Volume 9, Issue 13 (2020)
- Year:
- 2020
- Volume:
- 9
- Issue:
- 13
- Issue Sort Value:
- 2020-0009-0013-0000
- Page Start:
- 4836
- Page End:
- 4849
- Publication Date:
- 2020-05-11
- Subjects:
- biomarkers -- cluster analysis -- collagen type V -- computational pathology -- extracellular matrix -- immunomodulation -- mesothelioma
616.994005 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2045-7634 ↗ - DOI:
- 10.1002/cam4.3111 ↗
- Languages:
- English
- ISSNs:
- 2045-7634
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13344.xml