Unraveling the cellular heterogeneity of malignant pleural mesothelioma through a deconvolution approach

Mol Cell Oncol. 2019 May 7;6(4):1610322. doi: 10.1080/23723556.2019.1610322. eCollection 2019.

Abstract

We determined the proportions of epithelioid-like and sarcomatoid-like cellular entities within malignant pleural mesothelioma samples, by deconvolution of their transcriptomes. These proportions are associated with prognosis and may guide therapeutic strategies. This novel approach describes both intra- and inter-tumor heterogeneity and provides a new way of thinking about cancer pathology.

Keywords: Mesothelioma; deconvolution method; molecular classification; molecular component; tumor heterogeneity.

Grants and funding

This work is part of the national program Cartes d’Identité des Tumeurs (CIT) funded and developed by the Ligue Nationale Contre le Cancer. This work was also supported by Institut National de la Santé et de la Recherche Médicale (Inserm); Ligue Contre le Cancer [Ile-de-France committe]; Chancellerie des Universités de Paris [Legs POIX].