Immunosuppressive Microenvironment Revealed by Immune Cell Landscape in Pre-metastatic Liver of Colorectal Cancer

被引:15
作者
Zeng, Dongqiang [1 ]
Wang, Miaohong [1 ]
Wu, Jiani [1 ]
Lin, Siheng [1 ]
Ye, Zilan [1 ]
Zhou, Rui [1 ]
Wang, Gaofeng [2 ]
Wu, Jianhua [1 ]
Sun, Huiying [1 ]
Bin, Jianping [3 ]
Liao, Yulin [3 ]
Li, Nailin [4 ]
Shi, Min [1 ]
Liao, Wangjun [1 ]
机构
[1] Southern Med Univ, Nanfang Hosp, Dept Oncol, Guangzhou, Peoples R China
[2] Johns Hopkins Sch Med, Dept Dermatol, Baltimore, MD USA
[3] Southern Med Univ, Nanfang Hosp, Dept Cardiol, State Key Lab Organ Failure Res, Guangzhou, Peoples R China
[4] Karolinska Inst, Clin Pharmacol Grp, Dept Med Solna, Stockholm, Sweden
基金
中国国家自然科学基金;
关键词
immunosuppressive microenvironment; pre-metastatic niche; MDSC; metabolism; colorectal cancer; SUPPRESSOR-CELLS; PREMETASTATIC NICHE; MYELOID CELLS; TGF-BETA; EXPRESSION; SIGNATURE; PROMOTES; PD-L1; MDSC; RECRUITMENT;
D O I
10.3389/fonc.2021.620688
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Colorectal cancer, the fourth leading cause of cancer mortality, is prone to metastasis, especially to the liver. The pre-metastatic microenvironment comprising various resident stromal cells and immune cells is essential for metastasis. However, how the dynamic evolution of immune components facilitates pre-metastatic niche formation remains unclear. Methods: Utilizing RNA-seq data from our orthotopic colorectal cancer mouse model, we applied single sample gene set enrichment analysis and Cell type Identification By Estimating Relative Subsets Of RNA Transcripts to investigate the tumor microenvironment landscape of pre-metastatic liver, and define the exact role of myeloid-derived suppressor cells (MDSCs) acting in the regulation of infiltrating immune cells and gene pathways activation. Flow cytometry analysis was conducted to quantify the MDSCs levels in human and mice samples. Results: In the current work, based on the high-throughput transcriptome data, we depicted the immune cell infiltration pattern of pre-metastatic liver and highlighted MDSCs as the dominant altered cell type. Notably, flow cytometry analysis showed that high frequencies of MDSCs, was detected in the pre-metastatic liver of orthotopic colorectal cancer tumor-bearing mice, and in the peripheral blood of patients with stage I-III colorectal cancer. MDSCs accumulation in the liver drove immunosuppressive factors secretion and immune checkpoint score upregulation, consequently shaping the pre-metastatic niche with sustained immune suppression. Metabolic reprogramming such as upregulated glycolysis/gluconeogenesis and HIF-1 signaling pathways in the primary tumor was also demonstrated to correlate with MDSCs infiltration in the pre-metastatic liver. Some chemokines were identified as a potential mechanism for MDSCs recruitment. Conclusion: Collectively, our study elucidates the alterations of MDSCs during pre-metastatic niche transformation, and illuminates the latent biological mechanism by which primary tumors impact MDSC aggregation in the targeted liver.
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页数:15
相关论文
共 61 条
[11]   Myeloid Cells and Related Chronic Inflammatory Factors as Novel Predictive Markers in Melanoma Treatment with Ipilimumab [J].
Gebhardt, Christoffer ;
Sevko, Alexandra ;
Jiang, Huanhuan ;
Lichtenberger, Ramtin ;
Reith, Maike ;
Tarnanidis, Kathrin ;
Holland-Letz, Tim ;
Umansky, Ludmila ;
Beckhove, Philipp ;
Sucker, Antje ;
Schadendorf, Dirk ;
Utikal, Jochen ;
Umansky, Viktor .
CLINICAL CANCER RESEARCH, 2015, 21 (24) :5453-5459
[12]   Development of Monocytes, Macrophages, and Dendritic Cells [J].
Geissmann, Frederic ;
Manz, Markus G. ;
Jung, Steffen ;
Sieweke, Michael H. ;
Merad, Miriam ;
Ley, Klaus .
SCIENCE, 2010, 327 (5966) :656-661
[13]   The prognostic landscape of genes and infiltrating immune cells across human cancers [J].
Gentles, Andrew J. ;
Newman, Aaron M. ;
Liu, Chih Long ;
Bratman, Scott V. ;
Feng, Weiguo ;
Kim, Dongkyoon ;
Nair, Viswam S. ;
Xu, Yue ;
Khuong, Amanda ;
Hoang, Chuong D. ;
Diehn, Maximilian ;
West, Robert B. ;
Plevritis, Sylvia K. ;
Alizadeh, Ash A. .
NATURE MEDICINE, 2015, 21 (08) :938-945
[14]   Normality Tests for Statistical Analysis: A Guide for Non-Statisticians [J].
Ghasemi, Asghar ;
Zahediasl, Saleh .
INTERNATIONAL JOURNAL OF ENDOCRINOLOGY AND METABOLISM, 2012, 10 (02) :486-489
[15]   Effects of exosomes on pre-metastatic niche formation in tumors [J].
Guo, Yaxin ;
Ji, Xiang ;
Liu, Jinbo ;
Fan, Dandan ;
Zhou, Quanbo ;
Chen, Chen ;
Wang, Weiwei ;
Wang, Guixian ;
Wang, Haijiang ;
Yuan, Weitang ;
Ji, Zhenyu ;
Sun, Zhenqiang .
MOLECULAR CANCER, 2019, 18 (1)
[16]   GSVA: gene set variation analysis for microarray and RNA-Seq data [J].
Haenzelmann, Sonja ;
Castelo, Robert ;
Guinney, Justin .
BMC BIOINFORMATICS, 2013, 14
[17]   Biostatistics Series Module 3: Comparing Groups: Numerical Variables [J].
Hazra, Avijit ;
Gogtay, Nithya .
INDIAN JOURNAL OF DERMATOLOGY, 2016, 61 (03) :251-260
[18]  
He Y, 2019, AM J CANCER RES, V9, P2280
[19]   A single dose of neoadjuvant PD-1 blockade predicts clinical outcomes in resectable melanoma [J].
Huang, Alexander C. ;
Orlowski, Robert J. ;
Xu, Xiaowei ;
Mick, Rosemarie ;
George, Sangeeth M. ;
Yan, Patrick K. ;
Manne, Sasikanth ;
Kraya, Adam A. ;
Wubbenhorst, Bradley ;
Dorfman, Liza ;
D'Andrea, Kurt ;
Wenz, Brandon M. ;
Liu, Shujing ;
Chilukuri, Lakshmi ;
Kozlov, Andrew ;
Carberry, Mary ;
Giles, Lydia ;
Kier, Melanie W. ;
Quagliarello, Felix ;
McGettigan, Suzanne ;
Kreider, Kristin ;
Annamalai, Lakshmanan ;
Zhao, Qing ;
Mogg, Robin ;
Xu, Wei ;
Blumenschein, Wendy M. ;
Yearley, Jennifer H. ;
Linette, Gerald P. ;
Amaravadi, Ravi K. ;
Schuchter, Lynn M. ;
Herati, Ramin S. ;
Bengsch, Bertram ;
Nathanson, Katherine L. ;
Farwell, Michael D. ;
Karakousis, Giorgos C. ;
Wherry, E. John ;
Mitchell, Tara C. .
NATURE MEDICINE, 2019, 25 (03) :454-+
[20]   Cancer statistics, 2008 [J].
Jemal, Ahmedin ;
Siegel, Rebecca ;
Ward, Elizabeth ;
Hao, Yongping ;
Xu, Jiaquan ;
Murray, Taylor ;
Thun, Michael J. .
CA-A CANCER JOURNAL FOR CLINICIANS, 2008, 58 (02) :71-96