Histopathological features of epithelioid malignant pleural mesotheliomas in patients with extended survival release_52oihcijfzdnfaecu3olyykey4

by Juuso Paajanen, Sanna Laaksonen, Eeva Kettunen, Ilkka Ilonen, Tapio Vehmas, Jarmo Salo, Jari Räsänen, Eva Sutinen BHc, Hely Ollila BHc, Mikko Mäyränpää, Marjukka Myllärniemi, Henrik Wolff

Published in Human Pathology by Elsevier BV.

2020  

Abstract

Diffuse malignant mesothelioma (DMM) of the pleura is a rare and aggressive disease, where the long-term survival (LTS) rate is low. The epithelioid subtype is the most prevalent form of DMM with the best prognosis. In order to study prognostic histopathologic factors associated with extended survival in epithelioid DMM, we examined 43 tumors from patients with survival over five years (long-term survivals [LTS]) and compared the findings with 84 tumors from a reference group with average survival (RG). We analyzed the tumors considering previously published histopathological prognostic features and attempted to identify additional morphological features predictive of extended survival. Most of the LTS tumors presented with nuclear grade I (n = 34,90%) and a tubulopapillary growth pattern (n = 30,70%). One LTS tumor had necrosis. In contrast, nuclear grade II (n = 49,61%) and solid growth pattern (n = 59,70%) were more frequent in RG, and necrosis was present in 16 (19%) tumors. We also evaluated the association of asbestos lung tissue fiber burden quantified from autopsy samples with histopathological features and found that elevated asbestos fiber was associated with higher nuclear grade (p < 0.001) and the presence of necrosis (p = 0.021). In univariate survival analysis, we identified the following three novel morphological features associated with survival: exophytic polypoid growth pattern, tumor density, and single mesothelium layered tubular structures. After adjustments, low nuclear grade (p < 0.001) and presence of exophytic polypoid growth (p = 0.024) were associated with prolonged survival. These results may aid in estimating DMM prognosis.
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