Home > Publications database > Pan-Cancer Single-Cell and Spatial-Resolved Profiling Reveals the Immunosuppressive Role of APOE+ Macrophages in Immune Checkpoint Inhibitor Therapy. > print |
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024 | 7 | _ | |a 10.1002/advs.202401061 |2 doi |
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100 | 1 | _ | |a Liu, Chuan |b 0 |
245 | _ | _ | |a Pan-Cancer Single-Cell and Spatial-Resolved Profiling Reveals the Immunosuppressive Role of APOE+ Macrophages in Immune Checkpoint Inhibitor Therapy. |
260 | _ | _ | |a Weinheim |c 2024 |b Wiley-VCH |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1718960683_26627 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
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500 | _ | _ | |a 2024 Jun;11(23):e2401061 |
520 | _ | _ | |a The heterogeneity of macrophages influences the response to immune checkpoint inhibitor (ICI) therapy. However, few studies explore the impact of APOE+ macrophages on ICI therapy using single-cell RNA sequencing (scRNA-seq) and machine learning methods. The scRNA-seq and bulk RNA-seq data are Integrated to construct an M.Sig model for predicting ICI response based on the distinct molecular signatures of macrophage and machine learning algorithms. Comprehensive single-cell analysis as well as in vivo and in vitro experiments are applied to explore the potential mechanisms of the APOE+ macrophage in affecting ICI response. The M.Sig model shows clear advantages in predicting the efficacy and prognosis of ICI therapy in pan-cancer patients. The proportion of APOE+ macrophages is higher in ICI non-responders of triple-negative breast cancer compared with responders, and the interaction and longer distance between APOE+ macrophages and CD8+ exhausted T (Tex) cells affecting ICI response is confirmed by multiplex immunohistochemistry. In a 4T1 tumor-bearing mice model, the APOE inhibitor combined with ICI treatment shows the best efficacy. The M.Sig model using real-world immunotherapy data accurately predicts the ICI response of pan-cancer, which may be associated with the interaction between APOE+ macrophages and CD8+ Tex cells. |
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650 | _ | 7 | |a APOE+ macrophages |2 Other |
650 | _ | 7 | |a immune checkpoint inhibitor |2 Other |
650 | _ | 7 | |a machine learning algorithm |2 Other |
650 | _ | 7 | |a pan‐cancer |2 Other |
650 | _ | 7 | |a single‐cell RNA sequencing |2 Other |
700 | 1 | _ | |a Xie, Jindong |b 1 |
700 | 1 | _ | |a Lin, Bo |b 2 |
700 | 1 | _ | |a Tian, Weihong |b 3 |
700 | 1 | _ | |a Wu, Yifan |b 4 |
700 | 1 | _ | |a Xin, Shan |b 5 |
700 | 1 | _ | |a Hong, Libing |b 6 |
700 | 1 | _ | |a Li, Xin |0 P:(DE-He78)128e4949aa4cb04fe109c52df0c67732 |b 7 |u dkfz |
700 | 1 | _ | |a Liu, Lulu |b 8 |
700 | 1 | _ | |a Jin, Yuzhi |b 9 |
700 | 1 | _ | |a Tang, Hailin |b 10 |
700 | 1 | _ | |a Deng, Xinpei |b 11 |
700 | 1 | _ | |a Zou, Yutian |0 0000-0002-5205-9923 |b 12 |
700 | 1 | _ | |a Zheng, Shaoquan |b 13 |
700 | 1 | _ | |a Fang, Weijia |b 14 |
700 | 1 | _ | |a Cheng, Jinlin |b 15 |
700 | 1 | _ | |a Dai, Xiaomeng |b 16 |
700 | 1 | _ | |a Bao, Xuanwen |0 0000-0002-6232-3783 |b 17 |
700 | 1 | _ | |a Zhao, Peng |b 18 |
773 | _ | _ | |a 10.1002/advs.202401061 |g p. 2401061 |0 PERI:(DE-600)2808093-2 |n 23 |p e2401061 |t Advanced science |v 11 |y 2024 |x 2198-3844 |
856 | 4 | _ | |u https://inrepo02.dkfz.de/record/289225/files/Advanced%20Science%20-%202024%20-%20Liu%20-%20Pan%E2%80%90Cancer%20Single%E2%80%90Cell%20and%20Spatial%E2%80%90Resolved%20Profiling%20Reveals%20the%20Immunosuppressive%20Role%20of.pdf |
856 | 4 | _ | |u https://inrepo02.dkfz.de/record/289225/files/Advanced%20Science%20-%202024%20-%20Liu%20-%20Pan%E2%80%90Cancer%20Single%E2%80%90Cell%20and%20Spatial%E2%80%90Resolved%20Profiling%20Reveals%20the%20Immunosuppressive%20Role%20of.pdf?subformat=pdfa |x pdfa |
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