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Single-cell RNA sequencing reveals distinct tumor microenvironmental patterns in lung adenocarcinoma

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Title:Single-cell RNA sequencing reveals distinct tumor microenvironmental patterns in lung adenocarcinoma
Creators Name:Bischoff, P. and Trinks, A. and Obermayer, B. and Pett, J.P. and Lehmann, A. and Jurmeister, P. and Elsner, A. and Dziodzio, T. and Rückert, J.C. and Neudecker, J. and Falk, C. and Beule, D. and Sers, C. and Morkel, M. and Horst, D. and Blüthgen, N. and Klauschen, F.
Abstract:Recent developments in immuno-oncology demonstrate that not only cancer cells, but also features of the tumor microenvironment guide precision medicine. Still, the relationship between tumor and microenvironment remains poorly understood. To overcome this limitation and identify clinically relevant microenvironmental and cancer features, we applied single-cell RNA sequencing to lung adenocarcinomas. While the highly heterogeneous carcinoma cell transcriptomes reflected histological grade and activity of relevant oncogenic pathways, our analysis revealed two distinct microenvironmental patterns. We identified a prognostically unfavorable group of tumors with a microenvironment composed of cancer-associated myofibroblasts, exhausted CD8+ T cells, proinflammatory monocyte-derived macrophages and plasmacytoid dendritic cells (CEP2 pattern) and a prognostically favorable group characterized by myeloid dendritic cells, anti-inflammatory monocyte-derived macrophages, normal-like myofibroblasts, NK cells and conventional T cells (MAN2C pattern). Our results show that single-cell gene expression profiling allows to identify patient subgroups based on the tumor microenvironment beyond cancer cell-centric profiling.
Publisher:Cold Spring Harbor Laboratory Press
Article Number:2020.12.11.419606
Date:11 December 2020
Official Publication:https://doi.org/10.1101/2020.12.11.419606
Related to:
https://edoc.mdc-berlin.de/21008/Final version

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