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Mutual regulation of tumour vessel normalization and immunostimulatory reprogramming
Open accessAbstract
Blockade of angiogenesis can retard tumour growth, but may also paradoxically increase metastasis. This paradox may be resolved by vessel normalization, which involves increased pericyte coverage, improved tumour vessel perfusion, reduced vascular permeability, and consequently mitigated hypoxia. Although these processes alter tumour progression, their regulation is poorly understood. Here we show that type 1 T helper (T H 1) cells play a crucial role in vessel normalization. Bioinformatic analyses revealed that gene expression features related to vessel normalization correlate with immunostimulatory pathways, especially T lymphocyte infiltration or activity. To delineate the causal relationship, we used various mouse models with vessel normalization or T lymphocyte deficiencies. Although disruption of vessel normalization reduced T lymphocyte infiltration as expected, reciprocal depletion or inactivation of CD4+ T lymphocytes decreased vessel normalization, indicating a mutually regulatory loop. In addition, activation of CD4+ T lymphocytes by immune checkpoint blockade increased vessel normalization. T H 1 cells that secrete interferon-γ are a major population of cells associated with vessel normalization. Patient-derived xenograft tumours growing in immunodeficient mice exhibited enhanced hypoxia compared to the original tumours in immunocompetent humans, and hypoxia was reduced by adoptive T H 1 transfer. Our findings elucidate an unexpected role of T H 1 cells in vasculature and immune reprogramming. T H 1 cells may be a marker and a determinant of both immune checkpoint blockade and anti-angiogenesis efficacy.
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In the citing paper
“We previously demonstrated that vascular normalization could increase immune cells’ infiltration into tumors, and multiple studies have confirmed these findings in several tumor models (15,17-19).”
In the citing paper
“An improved vascular network favors adaptive antitumor immunity by promoting trafficking and re-localization of tumor-infiltrating lymphocytes (TILs), leading to improved outcomes of various immunotherapies, including immune checkpoint blockade (ICB) (15-20).”
In the citing paper
“There is an association of IFNγ-secreting T cells and vessel normalization (18), and IFNγ promotes the enhanced expression of adhesion molecules in endothelial cells (65).”
In the citing paper
“Lack of perfusion, tumoral hypoxia, and T-cell exclusion are considered significant resistance mechanisms (15,17-19).”
In the citing paper
“ICB of cytotoxic T lymphocyte protein 4 (CTLA-4) and PD-1 can normalize blood vessels in multiple models of transplanted breast and other tumours105.”
From Enhancing cancer immunotherapy using antiangiogenics: opportunities and challenges (2018) · cites this paper as [105]
In the citing paper
“ICB can have vessel-normalizing effects in preclinical models of breast tumours105, although the kinetics of vascular normalization are unknown.”
From Enhancing cancer immunotherapy using antiangiogenics: opportunities and challenges (2018) · cites this paper as [105]
In the citing paper
“The vascular normalization effect observed in this study was attributed to increased CD4+ type 1 T helper (TH1) cell accumulation and anticancer activity105.”
From Enhancing cancer immunotherapy using antiangiogenics: opportunities and challenges (2018) · cites this paper as [105]
In the citing paper
“This observation contrasts with the vascular normalization induced by ICB in breast cancer models105 and suggests that the vascular effects are dependent on the tumour location and/or type — a possibility that needs to be further investigated.”
From Enhancing cancer immunotherapy using antiangiogenics: opportunities and challenges (2018) · cites this paper as [105]
In the citing paper
“although the generalizability of the reciprocal regulation of tumour vessel normalization and immunostimulatory reprogramming is supported by analyses of large transcriptomic databases in human tumours, the experimental studies were limited to breast cancer models105.”
From Enhancing cancer immunotherapy using antiangiogenics: opportunities and challenges (2018) · cites this paper as [105]
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Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
Li, B., & Dewey, C. N. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-323 · Cited by 22,179
Robust enumeration of cell subsets from tissue expression profiles
Newman, A. M., Liu, C. L., Green, M. R., Gentles, A. J., Feng, W., Xu, Y., Hoang, C. D., Diehn, M., & Alizadeh, A. A. (2015) · Nature Methods · doi:10.1038/nmeth.3337 · Cited by 13,224
REVIGO summarizes and visualizes long lists of gene ontology terms
Supek, F., Bošnjak, M., Škunca, N., & Šmuc, T. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021800 · Cited by 6,264
The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups
METABRIC Group, Curtis, C., Shah, S. P., Chin, S.-F., Turashvili, G., Rueda, O. M., Dunning, M. J., Speed, D., Lynch, A. G., Samarajiwa, S., et al. (2012) · Nature · doi:10.1038/nature10983 · Cited by 6,097
Molecular mechanisms and clinical applications of angiogenesis
Carmeliet, P., & Jain, R. K. (2011) · Nature · doi:10.1038/nature10144 · Cited by 5,467
KOBAS 2.0: a web server for annotation and identification of enriched pathways and diseases
Xie, C., Mao, X., Huang, J., Ding, Y., Wu, J., Dong, S., Kong, L., Gao, G., Li, C., & Wei, L. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr483 · Cited by 5,078
Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1
Barbie, D. A., Tamayo, P., Boehm, J. S., Kim, S. Y., Moody, S. E., Dunn, I. F., Schinzel, A. C., Sandy, P., Meylan, E., Scholl, C., et al. (2009) · Nature · doi:10.1038/nature08460 · Cited by 3,922
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Items 101–200 of 849
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Montauti, E. I., Oh, D. Y., & Fong, L. H. (2024) · Trends in cancer · doi:10.1016/j.trecan.2024.07.009 · Cited by 154
Ayoub, N. M., Jaradat, S. K., Al-Shami, K. M., & Alkhalifa, A. E. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.838133 · Cited by 141
Kang, B., Camps, J., Fan, B., Jiang, H., Ibrahim, M. M., Hu, X., Qin, S., Kirchhoff, D., Chiang, D. Y., Wang, S., et al. (2022) · Genome biology · doi:10.1186/s13059-022-02828-2 · Cited by 142
Targeting tumor associated macrophages: The new challenge for nanomedicine
Andón, F. T., Digifico, E., Maeda, A., Erreni, M., Mantovani, A., Alonso, M. J., & Allavena, P. (2017) · Seminars in Immunology · doi:10.1016/j.smim.2017.09.004 · Cited by 131
Antiangiogenic–immune-checkpoint inhibitor combinations: lessons from phase III clinical trials
Kuo, H., Khan, K. A., & Kerbel, R. S. (2024) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-024-00886-y · Cited by 140
Limitations of Anti-Angiogenic Treatment of Tumors
Ribatti, D., Annese, T., Ruggieri, S., Tamma, R., & Crivellato, E. (2019) · Translational Oncology · doi:10.1016/j.tranon.2019.04.022 · Cited by 134
Tumor Vasculatures: A New Target for Cancer Immunotherapy
Liu, Z., Wang, Y., Huang, Y., Kim, B. Y. S., Shan, H., Wu, D., & Jiang, W. (2019) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2019.07.001 · Cited by 122
Vascular Normalization: A New Window Opened for Cancer Therapies
Yang, T., Xiao, H., Liu, X., Wang, Z., Zhang, Q., Wei, N., & Guo, X. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.719836 · Cited by 126
Normalizing Tumor Vasculature to Reduce Hypoxia, Enhance Perfusion, and Optimize Therapy Uptake
Matuszewska, K., Pereira, M., Petrik, D., Lawler, J., & Petrik, J. (2021) · Cancers · doi:10.3390/cancers13174444 · Cited by 128
Hongu, T., Pein, M., Insua-Rodríguez, J., Gutjahr, E., Mattavelli, G., Meier, J., Decker, K., Descot, A., Bozza, M., Harbottle, R., et al. (2022) · Nature Cancer · doi:10.1038/s43018-022-00353-6 · Cited by 118
Lee, S. J., Yang, H., Kim, W. R., Lee, Y. S., Lee, W. S., Kong, S. J., Lee, H. J., Kim, J. H., Cheon, J., Kang, B., et al. (2021) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2020-002195 · Cited by 118
LDH-A regulates the tumor microenvironment via HIF-signaling and modulates the immune response
Serganova, I. S., Cohen, I., Vemuri, K., Shindo, M., Maeda, M., Mane, M. M., Moroz, E., Khanin, R., Satagopan, J. M., Koutcher, J. A., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0203965 · Cited by 118
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Faget, J., Peters, S., Quantin, X., Meylan, E., & Bonnefoy, N. (2021) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2020-002242 · Cited by 119
Yi, Y., Yu, M., Feng, C., Hao, H., Zeng, W., Lin, C., Chen, H., Lv, F., Zhu, D., Ji, X., et al. (2022) · Matter · doi:10.1016/j.matt.2022.04.032 · Cited by 118
Huo, M., Wang, H., Zhang, Y., Cai, H., Zhang, P., Li, L., Zhou, J., & Yin, T. (2020) · Journal of Controlled Release · doi:10.1016/j.jconrel.2020.02.017 · Cited by 121
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Gerard, C. L., Delyon, J., Wicky, A. M., Homicskó, K., Cuendet, M. A., & Michielin, O. A. (2021) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2021.102227 · Cited by 118
Geng, Y., Zhang, Q., Feng, S., Li, C., Wang, L., Zhao, X., Yang, Z., Li, Z., Luo, H., Liu, R., et al. (2021) · Cancer Medicine · doi:10.1002/cam4.3718 · Cited by 118
Lv, H., Zong, Q., Chen, C., Lv, G., Xiang, W., Xing, F., Jiang, G., Yan, B., Sun, X., Ma, Y., et al. (2024) · Nature Communications · doi:10.1038/s41467-023-43743-9 · Cited by 117
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Varricchi, G., Loffredo, S., Galdiero, M. R., Marone, G., Cristinziano, L., Granata, F., & Marone, G. (2018) · Current Opinion in Immunology · doi:10.1016/j.coi.2018.05.002 · Cited by 111
Zhou, H., Wang, M., Zhang, Y., Su, Q., Xie, Z., Chen, X., Yan, R., Li, P., Li, T., Qin, X., et al. (2022) · 癌症:英文版 · doi:10.1002/cac2.12294 · Cited by 115
Yang, Y., Li, L., Jiang, Z., Wang, B., & Pan, Z. (2020) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-020-02641-5 · Cited by 113
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Galmiche, A., Rak, J., Roumenina, L. T., & Saidak, Z. (2022) · Trends in cancer · doi:10.1016/j.trecan.2021.12.008 · Cited by 111
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El-Kenawi, A., Hänggi, K., & Ruffell, B. (2019) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a037424 · Cited by 111
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Ciciola, P., Cascetta, P., Bianco, C., Formisano, L., & Bianco, R. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9030675 · Cited by 113
Goedegebuure, R. S. A., de Klerk, L. K., Bass, A. J., Derks, S., & Thijssen, V. L. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2018.03107 · Cited by 113
Tacchio, M. D., Macas, J., Weissenberger, J., Sommer, K., Bähr, O., Steinbach, J., Senft, C., Seifert, V., Glas, M., Herrlinger, U., et al. (2019) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-18-0865 · Cited by 108
Targeting endothelial permeability in the EPR effect
Lahooti, B., Akwii, R. G., Zahra, F. T., Sajib, M. S., Λάμπρου, Μ., Alobaida, A., Lionakis, M. S., Mattheolabakis, G., & Mikelis, C. M. (2023) · Journal of Controlled Release · doi:10.1016/j.jconrel.2023.07.039 · Cited by 114
Immunotherapy for hepatocellular carcinoma: recent advances and future perspectives
Xu, W., Liu, K., Chen, M., Sun, J., McCaughan, G. W., Lu, X., & Ji, J. (2019) · Therapeutic Advances in Medical Oncology · doi:10.1177/1758835919862692 · Cited by 103
Epigenetic modifiers as new immunomodulatory therapies in solid tumours
Aspeslagh, S., Morel, D., Soria, J., & Postel-Vinay, S. C. (2018) · Annals of Oncology · doi:10.1093/annonc/mdy050 · Cited by 105
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Vella, G., Guelfi, S., & Bergers, G. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.736670 · Cited by 104
Mpekris, F., Panagi, M., Voutouri, C., Martin, J. D., Samuel, R., Takahashi, S., Gotohda, N., Suzuki, T., Papageorgis, P., Demetriou, P., et al. (2020) · Advanced Science · doi:10.1002/advs.202001917 · Cited by 104
Current Progresses and Challenges of Immunotherapy in Triple-Negative Breast Cancer
Mediratta, K., El‐Sahli, S., D’Costa, V. M., & Wang, L. (2020) · Cancers · doi:10.3390/cancers12123529 · Cited by 102
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Kim, H. J., Ji, Y. R., & Lee, Y. M. (2022) · Archives of Pharmacal Research · doi:10.1007/s12272-022-01389-z · Cited by 105
Guo, X., Nie, H., Zhang, W., Li, J., Ge, J., Xie, B., Hu, W., Zhu, Y., Zhong, N., Zhang, X., et al. (2025) · Cancer Cell · doi:10.1016/j.ccell.2025.01.001 · Cited by 100
Self-citationFiegle, E., Doleschel, D., Koletnik, S., Rix, A., Weiskirchen, R., Borkham‐Kamphorst, E., Kiessling, F. M., & Lederle, W. (2019) · Neoplasia · doi:10.1016/j.neo.2019.07.006 · Cited by 98
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Fan, P., Zhang, N., Candi, E., Agostini, M., Piacentini, M., Bernassola, F., Bove, P., Alessandro, M., Giuseppe, N., Valentina, R., et al. (2023) · Oncogene · doi:10.1038/s41388-023-02869-2 · Cited by 101
Kurebayashi, Y., Matsuda, K., Ueno, A., Tsujikawa, H., Yamazaki, K., Masugi, Y., Kwa, W. T., Effendi, K., Hasegawa, Y., Yagi, H., et al. (2021) · Hepatology · doi:10.1002/hep.32201 · Cited by 101
Missiaen, R., Mazzone, M., & Bergers, G. (2018) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2018.06.002 · Cited by 96
Cancer-Associated Angiogenesis: The Endothelial Cell as a Checkpoint for Immunological Patrolling
Solimando, A. G., Summa, S. D., Vacca, A., & Ribatti, D. (2020) · Cancers · doi:10.3390/cancers12113380 · Cited by 93
Lenvatinib in hepatocellular carcinoma: Resistance mechanisms and strategies for improved efficacy
Qin, Y., Han, S., Yu, Y., Ding, Q., Ran, M., Yang, M., Liu, Y., Li, Y., Lu, L., Liu, Y., et al. (2024) · Liver International · doi:10.1111/liv.15953 · Cited by 100
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Yu, Y. (2023) · Cancers · doi:10.3390/cancers15082323 · Cited by 95
Qian, C., Liu, C., Liu, W., Zhou, R., & Zhao, L. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1291530 · Cited by 99
Leong, A., & Kim, M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21228689 · Cited by 97
Strategies for re-vascularization and promotion of angiogenesis in trauma and disease
Gonçalves, R. C., Banfi, A., Oliveira, M. B., & Mano, J. F. (2020) · Biomaterials · doi:10.1016/j.biomaterials.2020.120628 · Cited by 90
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Kravtsov, D., Erbe, A. K., Sondel, P. M., & Rakhmilevich, A. L. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.972021 · Cited by 91
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Kammerer‐Jacquet, S., Deleuze, A., Saout, J., Mathiéu, R., Laguerre, B., Verhoest, G., Dugay, F., Belaud‐Rotureau, M., Bensalah, K., & Rioux-Leclercq, N. C. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20071692 · Cited by 88
Modulation of immune responses using adjuvants to facilitate therapeutic vaccination
Schijns, V. E. C. J., Fernández‐Tejada, A., Barjaktarović, Ž., Bouzalas, I., Brimnes, J., Chernysh, S. I., Gizurarson, S. S., Gürsel, İ., Jakopin, Ž., Lawrenz, M., et al. (2020) · Immunological Reviews · doi:10.1111/imr.12889 · Cited by 90
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Sun, R., Kong, X., Qiu, X., Huang, C., & Wong, P. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.676342 · Cited by 92
Linking tumour angiogenesis and tumour immunity
Kabir, A. U., Subramanian, M., Kwon, Y., & Choi, K. (2025) · Nature reviews. Immunology · doi:10.1038/s41577-025-01211-z · Cited by 90
Therapeutic cancer vaccine: building the future from lessons of the past
Tran, T., Blanc, C., Granier, C., Saldmann, A., Tanchot, C., & Tartour, É. (2018) · Seminars in Immunopathology · doi:10.1007/s00281-018-0691-z · Cited by 85
Liu, X., Xu, J., Zhang, B., Liu, J., Liang, C., Meng, Q., Hua, J., Yu, X., & Shi, S. (2019) · Molecular Cancer · doi:10.1186/s12943-019-1117-9 · Cited by 87
The gate to metastasis: key players in cancer cell intravasation
Sznurkowska, M. K., & Aceto, N. (2021) · FEBS Journal · doi:10.1111/febs.16046 · Cited by 86
Ni, J., Zhang, Z., Ge, M.-J., Chen, J., & Zhuo, W. (2022) · Acta Pharmacologica Sinica · doi:10.1038/s41401-022-00953-z · Cited by 85
Navigating tumor angiogenesis: therapeutic perspectives and myeloid cell regulation mechanism
Yang, F., Lee, G., & Fan, Y. (2024) · Angiogenesis · doi:10.1007/s10456-024-09913-z · Cited by 90
TGFBI modulates tumour hypoxia and promotes breast cancer metastasis
Fico, F., & Santamaria‐Martínez, A. (2020) · Molecular Oncology · doi:10.1002/1878-0261.12828 · Cited by 80
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Chen, X., Tang, Q., Wang, J., Zhou, Y., Li, F., Xie, Y., Wang, X., Du, L., Li, J., Pu, J., et al. (2023) · Advanced Materials · doi:10.1002/adma.202210440 · Cited by 81
de Aguiar, R. B., & de Moraes, J. Z. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01023 · Cited by 80
Present and future of cancer immunotherapy: A tumor microenvironmental perspective (Review)
Yu, Y., & Cui, J. (2018) · Oncology Letters · doi:10.3892/ol.2018.9219 · Cited by 80
Lin, Y., Tan, C., Chen, C.-W., Ou, D., Cheng, A., & Hsu, C. (2018) · Seminars in Liver Disease · doi:10.1055/s-0038-1673621 · Cited by 79
Chandler, K. B., Leon, D. R., Kuang, J., Meyer, R., Rahimi, N., & Costello, C. E. (2019) · Journal of Biological Chemistry · doi:10.1074/jbc.ra119.008643 · Cited by 83
Manipulation of immune‒vascular crosstalk: new strategies towards cancer treatment
Zhao, Y., Yu, X., & Li, J. (2020) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2020.09.014 · Cited by 81
Li, S., Chen, J. Y., & Sun, Z. (2021) · 癌症:英文版 · doi:10.1002/cac2.12183 · Cited by 79
Hao, D., Liu, J., Chen, M., Li, J., Wang, L., Li, X., Zhao, Q., & Di, L. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-17-3862 · Cited by 77
Combining Cancer Vaccines with Immunotherapy: Establishing a New Immunological Approach
Kim, C.-G., Sang, Y. B., Lee, J. H., & Chon, H. J. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22158035 · Cited by 78
Uncoupling protein 2 reprograms the tumor microenvironment to support the anti-tumor immune cycle
Cheng, W.-C., Tsui, Y., Ragusa, S., Koelzer, V. H., Mina, M., Franco, F., Laubli, H. P., Tschumi, B., Speiser, D. E., Romero, P. J., et al. (2019) · Nature Immunology · doi:10.1038/s41590-018-0290-0 · Cited by 77
Tumors vs. Chronic Wounds: An Immune Cell's Perspective
Hua, Y., & Bergers, G. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02178 · Cited by 82
Anti-VEGF/VEGFR2 Monoclonal Antibodies and their Combinations with PD-1/PD-L1 Inhibitors in Clinic
Gao, F., & Yang, C. (2019) · Current Cancer Drug Targets · doi:10.2174/1568009619666191114110359 · Cited by 80
Dual role of endothelial Myct1 in tumor angiogenesis and tumor immunity
Kabir, A. U., Subramanian, M., Lee, D. H., Wang, X., Krchma, K., Wu, J., Naismith, T., Halabi, C. M., Kim, J. Y., Pulous, F. E., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abb6731 · Cited by 76
Clinically approved combination immunotherapy: Current status, limitations, and future perspective
Lu, L., Zhan, M., Li, X.-Y., Zhang, H., Dauphars, D. J., Jiang, J., Yin, H., Li, S., Luo, S., Li, Y., et al. (2022) · Current Research in Immunology · doi:10.1016/j.crimmu.2022.05.003 · Cited by 77
Li, B., Wang, P., Jiao, J., Wei, H., Xu, W., & Zhou, P. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.824117 · Cited by 79
Immunomodulation of Tumor Vessels: It Takes Two to Tango
Johansson, A., He, B., & Ganß, R. (2018) · Trends in Immunology · doi:10.1016/j.it.2018.08.001 · Cited by 74
Vascular normalization in immunotherapy: A promising mechanisms combined with radiotherapy
Liu, Z., Zhao, Q., Zheng, Z., Liu, S., Meng, L., Dong, L., & Jiang, X. M. (2021) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2021.111607 · Cited by 78
Antiangiogenic therapy reverses the immunosuppressive breast cancer microenvironment
Chen, W., Shen, L., Jiang, J., Zhang, L., Zhang, Z., Pan, J., Ni, C., & Chen, Z. (2021) · Biomarker Research · doi:10.1186/s40364-021-00312-w · Cited by 77
Milestones in tumor vascularization and its therapeutic targeting
Palma, M. D., & Hanahan, D. (2024) · Nature Cancer · doi:10.1038/s43018-024-00780-7 · Cited by 79
Tumour-associated vasculature in T cell homing and immunity: opportunities for cancer therapy
Lanitis, E., Irving, M. B., & Coukos, G. (2025) · Nature reviews. Immunology · doi:10.1038/s41577-025-01187-w · Cited by 81
Enhancing radiotherapy-induced anti-tumor immunity via nanoparticle-mediated STING agonist synergy
Zeng, Q., Liu, M., Wang, Z., Zhou, R., & Ai, K. (2025) · Molecular Cancer · doi:10.1186/s12943-025-02366-y · Cited by 90
CTLA4 blockade promotes vessel normalization in breast tumors via the accumulation of eosinophils
Zheng, X., Zhang, N., Qian, L., Wang, X., Fan, P., Kuai, J., Lin, S., Liu, C., Jiang, W., Qin, S., et al. (2019) · International Journal of Cancer · doi:10.1002/ijc.32829 · Cited by 76
Cheng, N., Bei, Y., Song, Y., Zhang, W., Xu, L., Zhang, W., Yang, N., Bai, X., Shu, Y., & Shen, P. (2020) · Biochemical Pharmacology · doi:10.1016/j.bcp.2020.114298 · Cited by 72
Lentinan inhibits tumor angiogenesis via interferon γ and in a T cell independent manner
Deng, S., Zhang, G., Kuai, J., Fan, P., Wang, X., Zhou, P., Yang, D., Zheng, X., Liu, X., Wu, Q., et al. (2018) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-018-0932-y · Cited by 74
Regulation of Blood and Lymphatic Vessels by Immune Cells in Tumors and Metastasis
Mazzone, M., & Bergers, G. (2019) · Annual Review of Physiology · doi:10.1146/annurev-physiol-020518-114721 · Cited by 70
Mei, K., Qin, S., Chen, Z., Liu, Y., Wang, L., & Zou, J. (2021) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2020-002191 · Cited by 70
Kikuchi, H., Matsui, A., Morita, S., Amoozgar, Z., Inoue, K., Ruan, Z., Staiculescu, D., Wong, J. S. L., Huang, P., Yau, T. C. C., et al. (2022) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djac051 · Cited by 67
CD8+ T cells inhibit metastasis and CXCL4 regulates its function
Joseph, R., Soundararajan, R., Vasaikar, S. V., Yang, F., Allton, K. L., Tian, L. H., den Hollander, P., Isgandarova, S., Haemmerle, M., Mino, B., et al. (2021) · British Journal of Cancer · doi:10.1038/s41416-021-01338-5 · Cited by 66
Self-citationLRG1 destabilizes tumor vessels and restricts immunotherapeutic potency
O’Connor, M. N., Kallenberg, D. M., Camilli, C., Pilotti, C., Dritsoula, A., Jackstadt, R., Bowers, C., Watson, H. A., Alatsatianos, M., Ohme, J., et al. (2021) · Med · doi:10.1016/j.medj.2021.10.002 · Cited by 70
Wang, L., Wang, X., Liu, T., Sun, F., Li, S., Geng, Y., Yao, B., Xu, J., & Fu, J. (2023) · npj Materials Degradation · doi:10.1038/s41529-023-00415-9 · Cited by 66
Organoid models of glioblastoma: advances, applications and challenges.
Zhang, C., Jin, M.-Z., Zhao, J., Chen, J., & Jin, W. (2020) · PubMed Central · Cited by 66
Therapeutic Induction of Tertiary Lymphoid Structures in Cancer Through Stromal Remodeling
Johansson, A., & Ganß, R. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.674375 · Cited by 65
The influence of endothelial metabolic reprogramming on the tumor microenvironment
Kane, K. M., Edwards, D. N., & Chen, J. (2024) · Oncogene · doi:10.1038/s41388-024-03228-5 · Cited by 72
Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks
Yi, F., Yang, L., Wang, S., Guo, L., Huang, C., Xie, Y., & Xiao, G. (2018) · BMC Bioinformatics · doi:10.1186/s12859-018-2055-z · Cited by 66
Huynh, H. T., Lee, L. Y., Goh, K. Y., Ong, R., Hao, H.-X., Huang, A., Wang, Y., Porta, D. G., Chow, P. K. H., & Chung, A. Y. F. (2018) · Hepatology · doi:10.1002/hep.30481 · Cited by 63
Li, W., Quan, Y., Li, Y., Lu, L., & Cui, M. (2018) · Cancer Management and Research · doi:10.2147/cmar.s174712 · Cited by 62
Magen, A., Nie, J., Ciucci, T., Tamoutounour, S., Zhao, Y., Mehta, M., Tran, B. Q., McGavern, D. B., Hannenhalli, S. S., & Bosselut, R. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.10.131 · Cited by 63
Lee, Y. S., Lee, W. S., Kim, C. W., Lee, S. J., Yang, H. J., Kong, S. J., Ning, J., Kang, B., Kang, B., Kim, W. R., et al. (2020) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2020-000857 · Cited by 62
Histopathological growth patterns as a candidate biomarker for immunomodulatory therapy
van Dam, P., Daelemans, S., Ross, E. L., Waumans, Y., Laere, S. V., Latacz, E., Steen, R. V., Pooter, C. D., Kockx, M. M., Dirix, L. Y., et al. (2018) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2018.01.009 · Cited by 62
Recent advances of nanotechnology-based tumor vessel-targeting strategies
Zhu, D., Li, Y., Zhang, Z., Xue, Z., Hua, Z., Luo, X., Zhao, T., Lu, C. C., & Liu, Y. (2021) · Journal of Nanobiotechnology · doi:10.1186/s12951-021-01190-y · Cited by 59
Liu, X., Lu, Y., Huang, J., Xing, Y., Dai, H., Zhu, L., Li, S., Feng, J., Zhou, B., Li, J., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.10.015 · Cited by 59
Chen, I. X., Newcomer, K., Pauken, K. E., Juneja, V. R., Naxerova, K., Wu, M. W., Pinter, M., Sen, D. R., Singer, M., Sharpe, A. H., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2002806117 · Cited by 55
The outstanding antitumor capacity of CD4+ T helper lymphocytes
Li, T., Wu, B., Yang, T., Zhang, L., & Jin, K. (2020) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2020.188439 · Cited by 60
Sjöberg, E., Melssen, M. M., Richards, M., Ding, Y., Chanoca, C., Chen, D., Nwadozi, E., Pal, S., Love, D. T., Ninchoji, T., et al. (2023) · Journal of Clinical Investigation · doi:10.1172/jci161366 · Cited by 58
Immuno-oncology-101: overview of major concepts and translational perspectives
Allard, B., Aspeslagh, S., Garaud, S., Dupont, F., Solinas, C., Kok, M., Routy, B., Sotiriou, C. P., Stagg, J., & Buisseret, L. (2018) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2018.02.005 · Cited by 60
Metadata
- Authors
- Tian, L., Goldstein, A., Wang, H., Ching Lo, H., Sun Kim, I., Welte, T., Sheng, K., Dobrolecki, L. E., Zhang, X., Putluri, N., Phung, T. L., Mani, S. A., Stossi, F., Sreekumar, A., Mancini, M. A., Decker, W. K., Zong, C., Lewis, M. T., & Zhang, X. H.-F.
- Affiliations
- Baylor College of Medicine (US)
- The University of Texas MD Anderson Cancer Center (US)
- Corresponding author
- Zhang, Xiaomei
- Zhang, Xiang H.-F.
- ORCID
- Venue
- Nature
- Published
- 2017-04
- Volume
- 544
- Issue
- 7649
- Pages
- 250-254
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC5788037
- OpenAlex
- W2601414401
- Cited by
- 841
- References
- 36
- Citations by year
- 2026: 88 · 2025: 98 · 2024: 98 · 2023: 100 · 2022: 92 · 2021: 129 · 2020: 97 · 2019: 63 · 2018: 51 · 2017: 25
- FWCI
- 26.46
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institutes of Health (1s10od016167-01)
- National Cancer Institute (R00CA151293, R01CA220297, K99CA151293, R21CA185516, U01CA179674, R01CA183878, P30CA125123)
- National Institute of Allergy and Infectious Diseases (P30AI036211, R01AI127387)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK056338)
- National Center for Research Resources (S10RR024574)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Angiogenesis and VEGF in Cancer
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Health Sciences › Medicine › Oncology › Lymphatic System and Diseases
- Keywords
- tumor immunosuppression, pericyte coverage, tumor hypoxia, CD4+ T cells, Th1 cells, interferon-gamma, immune checkpoint blockade, anti-angiogenic therapy, T cell infiltration, endothelial cells, tumor vasculature, patient-derived xenografts, cancer immunotherapy
- MeSH terms
- Animals, Capillary Permeability, Female, Humans, Interferon-gamma, Mice, Inbred BALB C, Mice, Inbred C57BL, Neoplasms, Neovascularization, Pathologic, Prognosis, CD4-Positive T-Lymphocytes, Cell Hypoxia, Lymphocytes, Tumor-Infiltrating, Th1 Cells, Neovascularization, Physiologic, Adoptive Transfer, Pericytes, Xenograft Model Antitumor Assays, Endothelial Cells, Mice
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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