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THBS1-producing tumor-infiltrating monocyte-like cells contribute to immunosuppression and metastasis in colorectal cancer
Open accessAbstract
Mesenchymal activation, characterized by dense stromal infiltration of immune and mesenchymal cells, fuels the aggressiveness of colorectal cancers (CRC), driving progression and metastasis. Targetable molecules in the tumor microenvironment (TME) need to be identified to improve the outcome in CRC patients with this aggressive phenotype. This study reports a positive link between high thrombospondin-1 (THBS1) expression and mesenchymal characteristics, immunosuppression, and unfavorable CRC prognosis. Bone marrow-derived monocyte-like cells recruited by CXCL12 are the primary source of THBS1, which contributes to the development of metastasis by inducing cytotoxic T-cell exhaustion and impairing vascularization. Furthermore, in orthotopically generated CRC models in male mice, THBS1 loss in the TME renders tumors partially sensitive to immune checkpoint inhibitors and anti-cancer drugs. Our study establishes THBS1 as a potential biomarker for identifying mesenchymal CRC and as a critical suppressor of antitumor immunity that contributes to the progression of this malignancy with a poor prognosis.
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“THBS1 from senescent fibroblasts was predicted to target macrophages, T/NK cells, and endothelial cells through CD47 and CD36, implicating THBS1 as a central mediator of immune modulation and anti-angiogenic signaling in senescent niches (Figure 6F).64,65,66”
From Cellular senescence in human liver under normal aging and cancer (2026) · cites this paper as [64]
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“THBS1 from senescent fibroblasts was predicted to target macrophages, T/NK cells, and endothelial cells through CD47 and CD36, implicating THBS1 as a central mediator of immune modulation and anti-angiogenic signaling in senescent niches (Figure 6F).64,65,66”
From Cellular senescence in human liver under normal aging and cancer (2026) · cites this paper as [64]
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Cites
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Integrated analysis of multimodal single-cell data
Hao, Y., Hao, S., Andersen-Nissen, E., Mauck, W. M., Zheng, S., Butler, A., Lee, M. J., Wilk, A. J., Darby, C., Zagar, M., et al. (2020) · doi:10.1101/2020.10.12.335331 · Cited by 15,508
PD-1 Blockade in Tumors with Mismatch-Repair Deficiency
Le, D. T., Uram, J. N., Wang, H., Bartlett, B. R., Kemberling, H., Eyring, A. D., Skora, A. D., Luber, B. S., Azad, N. S., Laheru, D., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1500596 · Cited by 9,377
QuPath: Open source software for digital pathology image analysis
Bankhead, P., Loughrey, M. B., Fernández, J. A., Dombrowski, Y., McArt, D. G., Dunne, P. D., McQuaid, S., Gray, R. T., Murray, L. J., Coleman, H. G., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-17204-5 · Cited by 8,908
Myeloid-derived-suppressor cells as regulators of the immune system
Gabrilovich, D. I., & Nagaraj, S. (2009) · Nature Reviews Immunology · doi:10.1038/nri2506 · Cited by 6,753
The consensus molecular subtypes of colorectal cancer
Guinney, J., Dienstmann, R., Wang, X., de Reyniès, A., Schlicker, A., Soneson, C., Marisa, L., Roepman, P., Nyamundanda, G., Angelino, P., et al. (2015) · Nature Medicine · doi:10.1038/nm.3967 · Cited by 5,170
Hafemeister, C., & Satija, R. (2019) · Genome Biology · doi:10.1186/s13059-019-1874-1 · Cited by 4,479 · cited 2×
“Each sample was normalized using SCTransform 52 .”
The biology and function of fibroblasts in cancer
Kalluri, R. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.73 · Cited by 4,366
TGFβ drives immune evasion in genetically reconstituted colon cancer metastasis
Tauriello, D. V. F., Palomo-Ponce, S., Stork, D., Berenguer-Llergo, A., Badia-Ramentol, J., Iglesias, M., Sevillano, M., Ibiza, S., Cañellas, A., Hernando-Momblona, X., et al. (2018) · Nature · doi:10.1038/nature25492 · Cited by 1,851
Single-Cell Analyses Inform Mechanisms of Myeloid-Targeted Therapies in Colon Cancer
Zhang, L., Li, Z., Skrzypczynska, K. M., Fang, Q., Zhang, W., O’Brien, S. A., He, Y., Wang, L., Zhang, Q., Kim, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.03.048 · Cited by 1,620
Extracellular Vesicle and Particle Biomarkers Define Multiple Human Cancers
Hoshino, A., Kim, H. S., Bojmar, L., Gyan, K. E., Cioffi, M., Hernandez, J. M., Zambirinis, C. P., Rodrigues, G., Molina, H., Heissel, S., et al. (2020) · Cell · doi:10.1016/j.cell.2020.07.009 · Cited by 1,275
Li, H., van der Leun, A. M., Yofe, I., Lubling, Y., Gelbard-Solodkin, D., van Akkooi, A. C. J., van den Braber, M., Rozeman, E. A., Haanen, J. B. A. G., Blank, C. U., et al. (2019) · Cell · doi:10.1016/j.cell.2018.11.043 · Cited by 1,101
Stromal gene expression defines poor-prognosis subtypes in colorectal cancer
Calon, A., Lonardo, E., Berenguer-Llergo, A., Espinet, E., Hernando-Momblona, X., Iglesias, M., Sevillano, M., Palomo-Ponce, S., Tauriello, D. V. F., Byrom, D., et al. (2015) · Nature Genetics · doi:10.1038/ng.3225 · Cited by 1,070
Ma, X., Xiao, L., Liu, L., Ye, L., Pan, S., Bi, E., Wang, Q., Yang, M., Qian, J., & Yi, Q. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.02.015 · Cited by 1,048
Signals leading to apoptosis-dependent inhibition of neovascularization by thrombospondin-1
Jiménez, B., Volpert, O. V., Crawford, S. E., Febbraio, M., Silverstein, R. L., & Bouck, N. (2000) · Nature Medicine · doi:10.1038/71517 · Cited by 1,014
Lineage-dependent gene expression programs influence the immune landscape of colorectal cancer
Lee, H., Hong, Y., Etlioglu, H. E., Cho, Y. B., Pomella, V., den Bosch, B. V., Vanhecke, J., Verbandt, S., Hong, H.-K., Min, J.-W., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-0636-z · Cited by 934
Zhu, Y., Herndon, J. M., Sojka, D. K., Kim, K.-W., Knolhoff, B. L., Zuo, C., Cullinan, D. R., Luo, J. R., Bearden, A. R., Lavine, K. J., et al. (2017) · Immunity · doi:10.1016/j.immuni.2017.07.014 · Cited by 834
MSIsensor: microsatellite instability detection using paired tumor-normal sequence data
Niu, B., Ye, K., Zhang, Q., Lu, C., Xie, M., McLellan, M. D., Wendl, M. C., & Ding, L. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt755 · Cited by 822
De Sousa E Melo, F., Wang, X., Jansen, M., Fessler, E., Trinh, A., de Rooij, L. P. M. H., de Jong, J. H., de Boer, O. J., van Leersum, R., Bijlsma, M. F., et al. (2013) · Nature Medicine · doi:10.1038/nm.3174 · Cited by 771
CD36 Mediates the In Vitro Inhibitory Effects of Thrombospondin-1 on Endothelial Cells
Dawson, D. W., Pearce, S. F. A., Zhong, R., Silverstein, R. L., Frazier, W. A., & Bouck, N. (1997) · The Journal of Cell Biology · doi:10.1083/jcb.138.3.707 · Cited by 676
Becht, E., de Reyniès, A., Giraldo, N. A., Pilati, C., Buttard, B., Lacroix, L., Selves, J., Sautès-Fridman, C., Laurent-Puig, P., & Fridman, W. H. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-2879 · Cited by 590
Proteogenomic characterization of pancreatic ductal adenocarcinoma
Cao, L., Huang, C., Cui Zhou, D., Hu, Y., Lih, T. M., Savage, S. R., Krug, K., Clark, D. J., Schnaubelt, M., Chen, L., et al. (2021) · Cell · doi:10.1016/j.cell.2021.08.023 · Cited by 578
Stem-like CD8 T cells mediate response of adoptive cell immunotherapy against human cancer
Krishna, S., Lowery, F. J., Copeland, A. R., Bahadiroglu, E., Mukherjee, R., Jia, L., Anibal, J., Sachs, A., Adebola, S. O., Gurusamy, D., et al. (2020) · Science · doi:10.1126/science.abb9847 · Cited by 546
Regulation of Tumor Metastasis by Myeloid-Derived Suppressor Cells
Condamine, T., Ramachandran, I., Youn, J., & Gabrilovich, D. I. (2014) · Annual Review of Medicine · doi:10.1146/annurev-med-051013-052304 · Cited by 533
CMScaller: an R package for consensus molecular subtyping of colorectal cancer pre-clinical models
Eide, P. W., Bruun, J., Lothe, R. A., & Sveen, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-16747-x · Cited by 439
Joanito, I., Wirapati, P., Zhao, N., Nawaz, Z., Yeo, G., Lee, F., Eng, C. L. P., Macalinao, D. C., Kahraman, M., Srinivasan, H., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01100-4 · Cited by 434
Volpert, O. V., Zaichuk, T. A., Zhou, W., Reiher, F., Ferguson, T. A., Stuart, P. M., Amin, M. A., & Bouck, N. (2002) · Nature Medicine · doi:10.1038/nm0402-349 · Cited by 427
Regulation of Transforming Growth Factor-β Activation by Discrete Sequences of Thrombospondin 1
Schultz‐Cherry, S., Chen, H., Mosher, D. F., Misenheimer, T. M., Krutzsch, H. C., Roberts, D. D., & Murphy-Ullrich, J. E. (1995) · Journal of Biological Chemistry · doi:10.1074/jbc.270.13.7304 · Cited by 424
Gubin, M. M., Esaulova, E., Ward, J. P., Malkova, O. N., Runci, D., Wong, P., Noguchi, T., Arthur, C. D., Meng, W., Alspach, E., et al. (2018) · Cell · doi:10.1016/j.cell.2018.09.030 · Cited by 424
Connolly, K. A., Kuchroo, M. R., Venkat, A., Khatun, A., Wang, J., William, I., Hornick, N. I., Fitzgerald, B., Damo, M., Kasmani, M. Y., et al. (2021) · Science Immunology · doi:10.1126/sciimmunol.abg7836 · Cited by 415
Ribeiro, S. M. F., Poczatek, M. H., Schultz‐Cherry, S., Villain, M., & Murphy-Ullrich, J. E. (1999) · Journal of Biological Chemistry · doi:10.1074/jbc.274.19.13586 · Cited by 355
Thrombospondin1 in tissue repair and fibrosis: TGF-β-dependent and independent mechanisms
Sweetwyne, M. T., & Murphy-Ullrich, J. E. (2012) · Matrix Biology · doi:10.1016/j.matbio.2012.01.006 · Cited by 248
Refining colorectal cancer classification and clinical stratification through a single-cell atlas
Khaliq, A. M., Erdoğan, C., Kurt, Z., Turgut, S. S., Grunvald, M. W., Rand, T., Khare, S., Borgia, J. A., Hayden, D. M., Pappas, S. G., et al. (2022) · Genome biology · doi:10.1186/s13059-022-02677-z · Cited by 246
Myeloid cell-targeted therapies for solid tumours
Goswami, S., Anandhan, S., Raychaudhuri, D., & Sharma, P. (2022) · Nature reviews. Immunology · doi:10.1038/s41577-022-00737-w · Cited by 228
Deciphering the complex role of thrombospondin-1 in glioblastoma development
Daubon, T., Léon, C., Clarke, K., Andrique, L., Salabert, L., Darbo, É., Pineau, R., Guérit, S., Maître, M., Dedieu, S., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08480-y · Cited by 219
Specific inhibition of endothelial cell proliferation by thrombospondin
Bagavandoss, P., & Wilks, J. W. (1990) · Biochemical and Biophysical Research Communications · doi:10.1016/0006-291x(90)92171-u · Cited by 171
Saadi, A., Shannon, N. B., Lao-Sirieix, P., O’Donovan, M., Walker, E. C., Clemons, N. J., Hardwick, J. S., Zhang, C., Das, M., Save, V., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0909797107 · Cited by 160
Interactions between CD47 and Thrombospondin Reduce Inflammation
Lamy, L., Foussat, A., Brown, E. J., BORNSTEIN, P. K., Ticchioni, M., & Bernard, A. (2007) · The Journal of Immunology · doi:10.4049/jimmunol.178.9.5930 · Cited by 157
Shear Stress Regulation of Endothelial Glycocalyx Structure Is Determined by Glucobiosynthesis
Wang, G., Kostidis, S., Tiemeier, G. L., Sol, W. M. P. J., de Vries, M. R., Giera, M. A., Carmeliet, P., van den Berg, B. M., & Rabelink, T. J. (2019) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.119.313399 · Cited by 122
Pathogenesis of FOLFOX induced sinusoidal obstruction syndrome in a murine chemotherapy model
Robinson, S. M., Mann, J., Vasilaki, A., Mathers, J. C., Burt, A. D., Oakley, F., White, S., & Mann, D. A. (2013) · Journal of Hepatology · doi:10.1016/j.jhep.2013.04.014 · Cited by 118
Kasashima, H., Durán, Á., Martínez-Ordóñez, A., Nakanishi, Y., Kinoshita, H., Linares, J. F., Reina‐Campos, M., Kudo, Y., L’Hermitte, A., Yashiro, M., et al. (2020) · Developmental Cell · doi:10.1016/j.devcel.2020.10.014 · Cited by 118
Self-citationThrombospondin-1 Inhibits TCR-Mediated T Lymphocyte Early Activation
Li, Z., He, L., Wilson, K., & Roberts, D. D. (2001) · The Journal of Immunology · doi:10.4049/jimmunol.166.4.2427 · Cited by 112
A Phase II Study of ABT-510 (Thrombospondin-1 Analog) for the Treatment of Metastatic Melanoma
Markovic, S. N., Suman, V. J., Rao, R. A., Ingle, J. N., Kaur, J. S., Erickson, L. A., Pitot, H. C., Croghan, G. A., McWilliams, R. R., Merchan, J. R., et al. (2007) · American Journal of Clinical Oncology · doi:10.1097/01.coc.0000256104.80089.35 · Cited by 109
Phase 2 Study of ABT-510 in Patients with Previously Untreated Advanced Renal Cell Carcinoma
Ebbinghaus, S., Hussain, M., Tannir, N. M., Gordon, M. S., Desai, A. A., Knight, R. A., Humerickhouse, R. A., Qian, J. X., Gordon, G., & Figlin, R. A. (2007) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-07-1477 · Cited by 95
Zhao, Y.-J., Xiong, Z., Lechner, E., Klenotic, P. A., Hamburg, B. J., Hulver, M., Khare, A., Oriss, T. B., Mangalmurti, N. S., Chan, Y., et al. (2013) · Mucosal Immunology · doi:10.1038/mi.2013.63 · Cited by 94
Baker, L. H., Rowinsky, E. K., Mendelson, D. S., Humerickhouse, R. A., Knight, R. A., Qian, J. X., Carr, R. A., Gordon, G., & Demetri, G. D. (2008) · Journal of Clinical Oncology · doi:10.1200/jco.2008.17.4706 · Cited by 87
Martínez-Ordóñez, A., Durán, Á., Ruíz-Martínez, M., Cid-Diaz, T., Zhang, X., Han, Q., Kinoshita, H., Muta, Y., Linares, J. F., Kasashima, H., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.11.016 · Cited by 62
Self-citationNakanishi, Y., Durán, Á., L’Hermitte, A., Shelton, P. M., Nakanishi, N., Reina‐Campos, M., Huang, J., Soldevila, F., Baaten, B. J. G., Tauriello, D. V. F., et al. (2018) · Immunity · doi:10.1016/j.immuni.2018.09.013 · Cited by 59
Self-citationMa, J., Sun, X., Wang, Y., Chen, B., Qian, L., & Wang, Y. (2019) · Cell Communication and Signaling · doi:10.1186/s12964-019-0432-5 · Cited by 54
Yang, H. M., Zhou, T., Sorenson, C. M., Sheibani, N., & Liu, B. (2020) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.120.314913 · Cited by 45
Self-citationSaito, Y., Respatika, D., Komori, S., Washio, K., Nishimura, T., Kotani, T., Murata, Y., Okazawa, H., Ohnishi, H., Kaneko, Y., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1711345114 · Cited by 32
Self-citationThrombospondin in Tumor Microenvironment
Ramchandani, D., & Mittal, V. (2020) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-48457-6_8 · Cited by 32
Memetimin, H., Li, D., Tan, K., Zhou, C., Liang, Y., Wu, Y., & Wang, S. (2018) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00273.2018 · Cited by 24
Refining Colorectal Cancer Classification and Clinical Stratification Through a Single-Cell Atlas
Khaliq, A. M., Erdoğan, C., Kurt, Z., Turgut, S. S., & Masood, A. (2022) · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) · doi:10.5281/zenodo.6466249 · Cited by 12
Sato, T., Chiba, T., Ohno, S.-I., Sato, C., Sugoh, T., Miyashita, K., Akatsuka, H., Hozumi, K., Okada, Y., Iida, Y., et al. (2012) · The Journal of Immunology · doi:10.4049/jimmunol.1102748 · Cited by 7
Research works printed but not linked: 1
- Saito, Y. et al. SIRPα. Proc. Natl Acad. Sci. USA 114, E10151–E10160 (2017).
Cited by
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The immune microenvironment of colorectal cancer
Kennel, K. B., & Greten, F. R. (2025) · Nature reviews. Cancer · doi:10.1038/s41568-025-00872-1 · Cited by 122
Effect of neutrophils on tumor immunity and immunotherapy resistance with underlying mechanisms
Yao, J., Ji, L., Wang, G., & Ding, J. (2024) · 癌症:英文版 · doi:10.1002/cac2.12613 · Cited by 51
Wang, K., Zhang, B., Li, K., Zhang, Z., Zeng, X., Guan, J.-M., Aldridge, R., Whitmore, E., Pan, Y., Lau, L. Y., et al. (2025) · Frontiers in Oncology · doi:10.3389/fonc.2025.1694587 · Cited by 31
Lin, J., He, X.-L., Zhang, W., & Mo, C. (2025) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2025.1584987 · Cited by 25
Metadata
- Authors
- Omatsu, M., Nakanishi, Y., Iwane, K., Aoyama, N., Duran, A., Muta, Y., Martinez-Ordoñez, A., Han, Q., Agatsuma, N., Mizukoshi, K., Kawai, M., Yamakawa, G., Namikawa, M., Hamada, K., Fukunaga, Y., Utsumi, T., Sono, M., Masuda, T., Hata, A., Araki, O., Nagao, M., Yoshikawa, T., Ogawa, S., Hiramatsu, Y., Tsuda, M., Maruno, T., Kogame, T., Kasashima, H., Kakiuchi, N., Nakagawa, M. M., Kawada, K., Yashiro, M., Maeda, K., Saito, Y., Matozaki, T., Fukuda, A., Kabashima, K., Obama, K., Ogawa, S., Sheibani, N., Diaz-Meco, M. T., Moscat, J., & Seno, H.
- Affiliations
- Kyoto University (JP)
- Weill Cornell Medicine (US)
- Osaka Metropolitan University (JP)
- Kobe University (JP)
- University of Wisconsin–Madison (US)
- Corresponding author
- Nakanishi, Yuki
- ORCID
- Omatsu, Mayuki
- Nakanishi, Yuki
- Aoyama, Naoki
- Muta, Yu
- Agatsuma, Nobukazu
- Mizukoshi, Kenta
- Kawai, Munenori
- Namikawa, Mio
- Fukunaga, Yuichi
- Utsumi, Takahiro
- Sono, Makoto
- Masuda, Tomonori
- Araki, Osamu
- Nagao, Munemasa
- Yoshikawa, Takaaki
- Ogawa, Satoshi
- Hiramatsu, Yukiko
- Tsuda, Motoyuki
- Maruno, Takahisa
- Kogame, Toshiaki
- Kasashima, Hiroaki
- Kakiuchi, Nobuyuki
- Nakagawa, Masahiro M.
- Kawada, Kenji
- Yashiro, Masakazu
- Saito, Yasuyuki
- Matozaki, Takashi
- Fukuda, Akihisa
- Kabashima, Kenji
- Obama, Kazutaka
- Ogawa, Seishi
- Sheibani, Nader
- Diaz-Meco, Maria T.
- Moscat, Jorge
- Seno, Hiroshi
- Venue
- Nature Communications
- Published
- 2023-09-25
- Volume
- 14
- Issue
- 1
- Pages
- 5534-5534
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC10520015
- OpenAlex
- W4387019644
- Cited by
- 109
- References
- 56
- Citations by year
- 2026: 40 · 2025: 41 · 2024: 25 · 2023: 3
- FWCI
- 11.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Institutional Repositories DataBase (IRDB) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Kyoto University Research Information Repository (Kyoto University) (submittedVersion, cc-by)
- Funders
- Japan Agency for Medical Research and Development (21cm0106283h0001, 22cm0106283h0002, 20cm0106177h0001, 18cm0106142h0001, 20cm0106375h0001)
- MEXT | Japan Science and Technology Agency (FOREST, 23719768, JPMJMS2022-1)
- MEXT | Japan Society for the Promotion of Science (21H02902, 19H03639, 21K19480, 20H03659)
- MEXT | Japan Agency for Marine-Earth Science and Technology (22ama221515h0001)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Keywords
- thrombospondin-1, colorectal cancer, tumor-infiltrating monocytes, immunosuppression, metastasis, CXCL12, bone marrow-derived monocytes, tumor vascularization, immune checkpoint inhibitors, prognostic factors, antitumor immunity
- MeSH terms
- Immune Checkpoint Inhibitors, Aggression, Animals, Humans, Immunosuppression Therapy, Male, Monocytes, Colorectal Neoplasms, Mice, Tumor Microenvironment
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