4.8 Article

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

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ONCOGENE
卷 40, 期 50, 页码 6748-6758

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SPRINGERNATURE
DOI: 10.1038/s41388-021-02054-3

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  1. Berlin Institute of Health
  2. German Cancer Consortium DKTK
  3. German Research Foundation DFG [RTG2424 CompCancer]
  4. Einstein Foundation/Stiftung Charite
  5. Charite-Universitatsmedizin Berlin
  6. Projekt DEAL

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Recent advances in immuno-oncology have shown that tumor microenvironment plays a crucial role in guiding precision medicine for cancer treatment. Single-cell RNA sequencing of lung adenocarcinomas revealed diverse microenvironment patterns, providing additional prognostic information and potential therapeutic targets for future treatments.
Recent developments in immuno-oncology demonstrate that not only cancer cells, but also the tumor microenvironment can guide precision medicine. A comprehensive and in-depth characterization of the tumor microenvironment is challenging since its cell populations are diverse and can be important even if scarce. To identify clinically relevant microenvironmental and cancer features, we applied single-cell RNA sequencing to ten human lung adenocarcinomas and ten normal control tissues. Our analyses revealed heterogeneous carcinoma cell transcriptomes reflecting histological grade and oncogenic pathway activities, and two distinct microenvironmental patterns. The immune-activated (CPE)-E-2 microenvironment was composed of cancer-associated myofibroblasts, proinflammatory monocyte-derived macrophages, plasmacytoid dendritic cells and exhausted CD8+ T cells, and was prognostically unfavorable. In contrast, the inert (NMC)-M-3 microenvironment was characterized by normal-like myofibroblasts, non-inflammatory monocyte-derived macrophages, NK cells, myeloid dendritic cells and conventional T cells, and was associated with a favorable prognosis. Microenvironmental marker genes and signatures identified in single-cell profiles had progonostic value in bulk tumor profiles. In summary, single-cell RNA profiling of lung adenocarcinoma provides additional prognostic information based on the microenvironment, and may help to predict therapy response and to reveal possible target cell populations for future therapeutic approaches.

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