The DOI matches its Crossref record; 229 of the 229 references it cites were found in a registry or an index.
Metabolism of immune cells in cancer
Open accessAbstract
Through the successes of checkpoint blockade and adoptive cellular therapy, immunotherapy has become an established treatment modality for cancer. Cellular metabolism has emerged as a critical determinant of the viability and function of both cancer cells and immune cells. In order to sustain prodigious anabolic needs, tumours employ a specialized metabolism that differs from untransformed somatic cells. This metabolism leads to a tumour microenvironment that is commonly acidic, hypoxic and/or depleted of critical nutrients required by immune cells. In this context, tumour metabolism itself is a checkpoint that can limit immune-mediated tumour destruction. Because our understanding of immune cell metabolism and cancer metabolism has grown significantly in the past decade, we are on the cusp of being able to unravel the interaction of cancer cell metabolism and immune metabolism in therapeutically meaningful ways. Although there are metabolic processes that are seemingly fundamental to both cancer and responding immune cells, metabolic heterogeneity and plasticity may serve to distinguish the two. As such, understanding the differential metabolic requirements of the diverse cells that comprise an immune response to cancer offers an opportunity to selectively regulate immune cell function. Such a nuanced evaluation of cancer and immune metabolism can uncover metabolic vulnerabilities and therapeutic windows upon which to intervene for enhanced immunotherapy. This Review discusses our current understanding of adaptive and innate immune cell metabolism in the context of the tumour microenvironment, providing insight into the interaction of cancer cell metabolism and immune metabolism, as well as the potential for leveraging metabolic vulnerabilities to enhance the antitumour immune response.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Similarly, HIF-2α directly upregulates PD-L1 expression by binding to the HRE in the PD-L1 promoter in ccRCC cells (Fig. 2C) [73].”
From Revisiting the HIF switch in the tumor and its immune microenvironment. (2022) · cites this paper as [73]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
RETRACTED: mTORC1-Induced HK1-Dependent Glycolysis Regulates NLRP3 Inflammasome Activation
Moon, J.-S., Hisata, S., Park, M. A., DeNicola, G. M., Ryter, S. W., Nakahira, K., & Choi, A. M. K. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.05.046 · Cited by 379
Retracted5-Fluorouracil: mechanisms of action and clinical strategies
Longley, D. B., Harkin, D. P., & Johnston, P. G. (2003) · Nature Reviews Cancer · doi:10.1038/nrc1074 · Cited by 5,332
The M1 and M2 paradigm of macrophage activation: Time for reassessment
Martinez, F. O., & Gordon, S. (2014) · F1000Prime Reports · doi:10.12703/p6-13 · Cited by 4,689
Succinate is an inflammatory signal that induces IL-1β through HIF-1α
Tannahill, G. M., Curtis, A. M., Adamik, J., Palsson-McDermott, E. M., McGettrick, A. F., Goel, G., Frezza, C., Bernard, N. J., Kelly, B., Foley, N. H., et al. (2013) · Nature · doi:10.1038/nature11986 · Cited by 4,176
Modulation of oxidative stress as an anticancer strategy
Gorrini, C., Harris, I. S., & Mak, T. W. (2013) · Nature Reviews Drug Discovery · doi:10.1038/nrd4002 · Cited by 3,579
Metabolic Competition in the Tumor Microenvironment Is a Driver of Cancer Progression
Chang, C.-H., Qiu, J., O’Sullivan, D., Buck, M. D., Noguchi, T., Curtis, J. D., Chen, Q., Gindin, M., Gubin, M. M., van der Windt, G. J. W., et al. (2015) · Cell · doi:10.1016/j.cell.2015.08.016 · Cited by 3,331
Functional Polarization of Tumour-Associated Macrophages by Tumour-Derived Lactic Acid
Colegio, O. R., Chu, N.-Q., Szabo, A. L., Chu, T., Rhebergen, A. M., Jairam, V., Cyrus, N., Brokowski, C. E., Eisenbarth, S. C., Phillips, G. M., et al. (2014) · Nature · doi:10.1038/nature13490 · Cited by 3,046
Mitochondrial TCA cycle metabolites control physiology and disease
Martínez-Reyes, I., & Chandel, N. S. (2020) · Nature Communications · doi:10.1038/s41467-019-13668-3 · Cited by 2,813
Physiological Roles of Mitochondrial Reactive Oxygen Species
Sena, L. A., & Chandel, N. S. (2012) · Molecular Cell · doi:10.1016/j.molcel.2012.09.025 · Cited by 2,632
Prevention of Allogeneic Fetal Rejection by Tryptophan Catabolism
Munn, D. H., Zhou, M., Attwood, J. T., Bondarev, I. E., Conway, S. J., Marshall, B., Brown, C. C., & Mellor, A. L. (1998) · Science · doi:10.1126/science.281.5380.1191 · Cited by 2,589
Cited by
Sorted by citations
Items 201–300 of 899
Li, Y., Wu, Y., & Hu, Y. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.641883 · Cited by 31
Kim, S., Koh, J., Song, S. G., Yim, J., Kim, M., Keam, B., Kim, Y. T., Kim, J., Chung, D. H., & Jeon, Y. K. (2022) · BMC Cancer · doi:10.1186/s12885-022-10239-6 · Cited by 30
Wang, Y., Liu, M., Zhang, L., Liu, X., Ji, H., Wang, Y., Gui, J., Yan, Y., & Wen, Z. (2023) · Cell Death and Disease · doi:10.1038/s41419-023-06336-4 · Cited by 31
Liu, J., Jiang, Y.-Y., Li, P.-J., Yao, B., Song, Y.-J., Gao, J.-X., Said, G., Gao, Y., Lai, J.-Y., & Shao, C. (2024) · Marine Life Science & Technology · doi:10.1007/s42995-024-00246-w · Cited by 31
Duan, R., Jiang, L., Wang, T., Li, Z., Yu, X., Gao, Y., Jia, R., Fan, X., & Su, W. (2024) · Nature Communications · doi:10.1038/s41467-024-55164-3 · Cited by 33
Xiang, Q., Yang, X. F., Zhang, Z., Yang, J., Li, Y., Du, J., Wang, J., Fan, K., Yuan, J., Zhang, J., et al. (2025) · Advanced Materials · doi:10.1002/adma.202419120 · Cited by 29
Yang, Y., Wu, Y.-L. L. C., Chen, H., Xu, Z., Lu, R., Zhang, S., Zhan, R., Xi, Q., & Jin, Y. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1595162 · Cited by 29
Jiang, D., Gao, T., Liang, S., Mu, W., Fu, S., Liu, Y., Yang, R., Zhang, Z., Liu, Y., & Zhang, N. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c03709 · Cited by 30
Wu, T., Ke, Y., Tang, H., Liao, C., Li, J., & Wang, L. (2021) · Molecular Therapy — Oncolytics · doi:10.1016/j.omto.2021.06.005 · Cited by 29
Ren, R., Huang, Q., Xu, G., Gu, K., Dammer, E. B., Wang, C., Xie, X., Chen, W., Shao, Z., Chen, S., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12436 · Cited by 28
Wan, J.-L., Wang, B., Wu, M.-L., Li, J., Gong, R.-M., Song, L.-N., Zhang, H., Zhu, G., Chen, S.-P., Cai, J., et al. (2022) · Cancer Letters · doi:10.1016/j.canlet.2022.215750 · Cited by 29
Nanomedicines Targeting Metabolism in the Tumor Microenvironment
Ren, M., Zheng, X., Gao, H., Jiang, A., Yao, Y., & He, W. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.943906 · Cited by 33
Prognosis and Immunological Characteristics of PGK1 in Lung Adenocarcinoma: A Systematic Analysis
Yang, Y., Cui, H., Li, D., Gao, Y., Chen, L., Zhou, C., Feng, M., Tu, W., Li, S., Chen, X., et al. (2022) · Cancers · doi:10.3390/cancers14215228 · Cited by 29
Shen, L., Huang, H., Li, J., Chen, W., Yao, Y., Hu, J., Zhou, J., Huang, F., & Ni, C. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1199465 · Cited by 28
Hu, S., Heng, H., Yang, F., Wang, M., Liu, G., Xiang, Y., & Miao, H. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1735873 · Cited by 32
Benzimidazole-Quinoline Hybrid Scaffold as Promising Pharmacological Agents: A Review
Tiglani, D., Salahuddin, S., Mazumder, A., Yar, M. S., Kumar, R., & Ahsan, M. J. (2021) · Polycyclic aromatic compounds · doi:10.1080/10406638.2021.1942933 · Cited by 28
Focus on the tumor microenvironment: A seedbed for neuroendocrine prostate cancer
Zhou, H., He, Q., Li, C., Alsharafi, B. L. M., Deng, L. H., Long, Z., & Gan, Y. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.955669 · Cited by 28
Zhang, R., Li, R., Zhang, L., Chen, G., Mo, L., Jiang, R., Xu, X., Wang, X., Zhao, Y., Zhang, L., et al. (2023) · ACS Nano · doi:10.1021/acsnano.3c01743 · Cited by 28
Sieow, J. L., Penny, H. L., Gun, S. Y., Tan, L. Q., Duan, K., Yeong, J. P. S., Pang, A., Lim, D., Toh, H. C., Lim, T. K. H., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24010753 · Cited by 27
Wu, Y., Zhang, S.-S., Yin, Q., Lei, M., Wang, Q., Chen, W.-G., Luo, T.-T., Zhou, P., & Ji, C. (2023) · Drug Design Development and Therapy · doi:10.2147/dddt.s397914 · Cited by 28
The role of tumor metabolism in modulating T-Cell activity and in optimizing immunotherapy
Ganjoo, S., Gupta, P., Corbali, H. I., Nanez, S., Riad, T. S., Duong, L. K., Barsoumian, H. B., Masrorpour, F., Jiang, H., Welsh, J. W., et al. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1172931 · Cited by 32
Katopodi, T., Petanidis, S., Anestakis, D., Charalampidis, C., Chatziprodromidou, I. P., Floros, G., Eskitzis, P., Zarogoulidis, P., Koulouris, C., Sevva, C. D., et al. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1325360 · Cited by 28
Dichloroacetate for Cancer Treatment: Some Facts and Many Doubts
Koltai, T., & Fliegel, L. (2024) · Pharmaceuticals · doi:10.3390/ph17060744 · Cited by 28
Formulation-optimized oncolytic viruses: Advancing systemic delivery and immune amplification
Ma, N., Gao, J., Pang, X., Wu, K., Yang, S., Wei, H. L., & Hao, Y. (2025) · Journal of Controlled Release · doi:10.1016/j.jconrel.2025.113822 · Cited by 30
A Prognostic Model Based on the Immune-Related lncRNAs in Colorectal Cancer
Qin, F., Xu, H., Wei, G., Ji, Y., Yu, J., Hu, C., Yuan, C., Ma, Y., Qian, J., Li, L., et al. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.658736 · Cited by 27
Blocking STAT3/5 through direct or upstream kinase targeting in leukemic cutaneous T‐cell lymphoma
Sorger, H., Dey, S., Vieyra-Garcia, P. A., Pölöske, D., Teufelberger, A. R., de Araujo, E. D., Sedighi, A., Graf, R., Spiegl, B., Lazzeri, I., et al. (2022) · EMBO Molecular Medicine · doi:10.15252/emmm.202115200 · Cited by 24
Chen, P., Han, Y., Wang, L., Zheng, Y., Zhu, Z., Zhao, Y., Zhang, M., Chen, X., Wang, X. D., & Sun, C. (2023) · Analytical Chemistry · doi:10.1021/acs.analchem.2c05734 · Cited by 28
Wang, T., Qin, Y., Zeng, Y., Jing, D., Fan, G., Liu, M., Zhuo, Q., Ji, S., Chen, X., Yu, X., et al. (2023) · Acta Pharmacologica Sinica · doi:10.1038/s41401-023-01078-7 · Cited by 27
Dai, M., & Wu, W. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1148786 · Cited by 28
From monocyte‐derived macrophages to resident macrophages—how metabolism leads their way in cancer
Ammarah, U., Pereira‐Nunes, A., Delfini, M., & Mazzone, M. (2024) · Molecular Oncology · doi:10.1002/1878-0261.13618 · Cited by 29
Cui, M., Yi, X., Zhu, D., & Wu, J. (2021) · Translational Cancer Research · doi:10.21037/tcr-21-655 · Cited by 29
Tumor immunotherapy: Mechanisms and clinical applications
Nong, C., Guan, P., Li, L., Zhang, H., & Hu, H. (2022) · MedComm – Oncology · doi:10.1002/mog2.8 · Cited by 27
Tumor-intrinsic metabolic reprogramming and how it drives resistance to anti-PD-1/PD-L1 treatment
Laubach, K., Turan, T., Mathew, R. S., Wilsbacher, J. L., Engelhardt, J., & Samayoa, J. A. (2023) · Cancer Drug Resistance · doi:10.20517/cdr.2023.60 · Cited by 27
Zhao, H., Wang, Z., Yang, S. Y., Zhang, R., Guo, J.-F., & Yang, D. (2024) · Biomaterials · doi:10.1016/j.biomaterials.2024.122620 · Cited by 26
Improving Cancer Immunotherapy: Exploring and Targeting Metabolism in Hypoxia Microenvironment
Wei, J., Hu, M., & Du, H. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.845923 · Cited by 28
Yan, Z., Li, L., Fu, D., Wu, W., Qiao, N., Huang, Y., Jiang, L., Wu, D., Hu, Y., Zhang, H., et al. (2023) · Frontiers of Medicine · doi:10.1007/s11684-022-0972-8 · Cited by 27
Xu, H.-Z., Lin, X., Xu, Y., Xue, H., Lin, S., & Xu, T. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1227150 · Cited by 27
Monteiro, C. F., Deus, I. A., Silva, I., Duarte, I. F., Custódio, C. A., & Mano, J. F. (2024) · Advanced Functional Materials · doi:10.1002/adfm.202315940 · Cited by 24
Gao, Y. J., Wang, Z., Jin, X., Wang, X., Tao, Y., Huang, S., Wang, Y., Hua, Y., Guo, X., Xu, J., et al. (2024) · Advanced Healthcare Materials · doi:10.1002/adhm.202400538 · Cited by 24
Dendritic cells: understanding ontogeny, subsets, functions, and their clinical applications
Li, W., Yu, C., Zhang, X., Gu, Y., He, X., Xu, R., Xu, J. F., Yu, G., & Wu, Y. (2025) · Molecular Biomedicine · doi:10.1186/s43556-025-00300-8 · Cited by 28
Dietary intervention as a therapeutic for cancer
Morita, M., Kudo, K., Shima, H., & Tanuma, N. (2020) · Cancer Science · doi:10.1111/cas.14777 · Cited by 25
Gong, S., Tetti, M., Reincke, M., & Williams, T. A. (2021) · Cancers · doi:10.3390/cancers13153716 · Cited by 24
Anker, J. F., Miller, J. R., Taylor, N., Kyprianou, N., & Tsao, C. (2021) · Cells · doi:10.3390/cells10113231 · Cited by 26
scRNA-seq reveals ATPIF1 activity in control of T cell antitumor activity
Zhong, G., Wang, Q., Wang, Y., Guo, Y., Xu, M., Guan, Y., Zhang, X., Wu, M., Xu, Z., Zhao, W., et al. (2022) · OncoImmunology · doi:10.1080/2162402x.2022.2114740 · Cited by 24
Liu, W.-S., Wu, L., Chen, C.-M., Zheng, H., Gao, J., Lu, Z., & Li, M. (2023) · Materials Today Bio · doi:10.1016/j.mtbio.2023.100751 · Cited by 24
Fungi and tumors: The role of fungi in tumorigenesis (Review)
Cheng, W., Li, F., Gao, Y., & Yang, R. (2024) · International Journal of Oncology · doi:10.3892/ijo.2024.5640 · Cited by 26
Metabolic mechanisms of immunotherapy resistance
Cabezón‐Gutiérrez, L., Palka-Kotlowska, M., Custodio‐Cabello, S., Chacón-Ovejero, B., & Pacheco-Barcía, V. (2025) · Exploration of Targeted Anti-tumor Therapy · doi:10.37349/etat.2025.1002297 · Cited by 26
Rewiring cancer metabolism: oncogenic signaling pathways and targeted therapeutics
Lyu, S., Gildor, N., Zhang, Q. H., & Liao, C. (2025) · Science China Life Sciences · doi:10.1007/s11427-025-2979-3 · Cited by 27
Metabolic adaptations in cancer progression
Peng‐Winkler, Y., & Fendt, S. (2025) · Physiological Reviews · doi:10.1152/physrev.00037.2024 · Cited by 25
Metabolomics Monitoring of Treatment Response to Brain Tumor Immunotherapy
Dastmalchi, F., Deleyrolle, L. P., Karachi, A., Mitchell, D. A., & Rahman, M. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.691246 · Cited by 23
Metabolic reprogramming by miRNAs in the tumor microenvironment: Focused on immunometabolism
Alshahrani, S. H., Ibrahim, Y. S., Jalil, A. T., Altoum, A. A., Achmad, H., Zabibah, R. S., Gabr, G. A., Ramírez‐Coronel, A. A., Alameri, A. A., Qasim, Q. A., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.1042196 · Cited by 24
Zhao, X., Li, K., Chen, M., & Liu, L. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.114601 · Cited by 23
Kimura, K., Jackson, T. L. B., & Huang, R. C. C. (2023) · Current Issues in Molecular Biology · doi:10.3390/cimb45110580 · Cited by 27
Glucose Metabolism Reprogramming of Regulatory T Cells in Concanavalin A-Induced Hepatitis
Huang, C., Shen, Y., Shen, M., Fan, X., Men, R., Ye, T., & Yang, L. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.726128 · Cited by 22
Self-Enhanced Acoustic Impedance Difference Strategy for Detecting the Acidic Tumor Microenvironment
Meng, X., Yi, Y., Meng, Y. F., Lv, G., Jiang, X., Wu, Y., Yang, W. G., Yao, Y., Xu, H., & Bu, W. (2022) · ACS Nano · doi:10.1021/acsnano.1c10173 · Cited by 22
Su, W., Yang, D., Wang, Y., Kong, Y., Zhang, W., Wang, J., Fei, Y., Guo, R., Ma, J., & Mi, L. (2022) · Nano Research · doi:10.1007/s12274-022-4104-1 · Cited by 22
Nanomaterials: A powerful tool for tumor immunotherapy
Chen, Z., Yue, Z., Wang, R., Yang, K., & Li, S. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.979469 · Cited by 22
Effect of stereotactic radiotherapy on immune microenvironment of lung cancer
Xiao, Y., & Zhuang, H. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1025872 · Cited by 23
Feng, Q., Hao, Y., Yang, S., Yuan, X., Chen, J., Mei, Y., Liu, L., Chang, J., Zhang, Z., & Wang, L. (2022) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2022.10.021 · Cited by 22
Cohen, I., Pareja, F. G., Socci, N. D., Shen, R., Doane, A. S., Schwartz, J., Khanin, R., Morris, E. A., Sutton, E. J., & Blasberg, R. G. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.880959 · Cited by 24
Metabolic Reprogramming and Potential Therapeutic Targets in Lymphoma
Pang, Y., Lu, T., Xu-Monette, Z. Y., & Young, K. H. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24065493 · Cited by 28
Metabolic Potential of Cancer Cells in Context of the Metastatic Cascade
Benzarti, M., Delbrouck, C., Neises, L., Kiweler, N., & Meiser, J. (2020) · Cells · doi:10.3390/cells9092035 · Cited by 21
Pan, T., He, Y., Chen, H., Pei, J., Li, Y., Zeng, R., Xia, J., Zuo, Y., Qin, L., Chen, S., et al. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.614211 · Cited by 22
Wu, X., Jiang, D., Liu, H., Lu, X., Lv, D., & Li, L. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.745945 · Cited by 22
Ji, P., Jin, X., Deng, X., Zhang, S., Liang, J., Li, Q., Chen, W., & Zhang, X. (2024) · Nano Letters · doi:10.1021/acs.nanolett.4c01307 · Cited by 21
Li, X., Guo, Q., Chen, Q., Chu, Y., Zhang, Y., Chen, H., Zhao, Z., Wang, Y., Luo, Y., Li, C., et al. (2024) · Advanced Materials · doi:10.1002/adma.202312219 · Cited by 21
Zheng, J., Wu, B., Xu, F., Shan, T., Li, X., Tian, J. L., & Zhang, W. (2025) · Biomaterials · doi:10.1016/j.biomaterials.2025.123107 · Cited by 22
Yasukawa, K., Shimada, S., Akiyama, Y., Taniai, T., Igarashi, Y., Tsukihara, S., Tanji, Y., Umemura, K., Kamachi, A., Nara, A., et al. (2025) · Cell Reports Medicine · doi:10.1016/j.xcrm.2025.102038 · Cited by 21
Chen, D., Ma, Y., Li, J., Wen, L., Liu, L., Su, J., Wu, J., Wang, P., Zhang, G., Huang, C., et al. (2025) · World Journal of Surgical Oncology · doi:10.1186/s12957-025-03779-1 · Cited by 21
Proteomic and Metabolomic Profiling in Soft Tissue Sarcomas
Chadha, M., & Huang, P. H. (2022) · Current Treatment Options in Oncology · doi:10.1007/s11864-022-00947-3 · Cited by 20
Recent advances in bacterial therapeutics based on sense and response
Feng, Z., Wang, Y., Xu, H., Guo, Y., Xia, W., Zhao, C., Zhao, X., & Wu, J. (2022) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2022.09.015 · Cited by 24
Neutrophils in pancreatic cancer: Potential therapeutic targets
Jiang, W., Li, X., Xiang, C., & Zhou, W. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.1025805 · Cited by 21
The lung, the niche, and the microbe: Exploring the lung microbiome in cancer and immunity
Huynh, M., Crane, M. J., & Jamieson, A. M. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1094110 · Cited by 22
Intratumoral lipid metabolic reprogramming as a pro-tumoral regulator in the tumor milieu
Wang, R., Hu, Q., Wu, Y., Guan, N., Han, X., & Guan, X. (2023) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2023.188962 · Cited by 22
RNA m6A modifications regulate crosstalk between tumor metabolism and immunity
Gu, J., Cao, H., Chen, X., Zhang, X. D., Thorne, R. F., & Liu, X. (2023) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1829 · Cited by 22
Advances in reprogramming of energy metabolism in tumor T cells
Xuekai, L., Yan, S., Chu, J., Yifei, S., Wu, X., Wenyuan, Z., Han, S., & Xi, Y. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1347181 · Cited by 23
Meng, X., Lei, Y., Zhang, X., Sun, K., Zhang, L., & Wang, Z. (2021) · Applied Materials Today · doi:10.1016/j.apmt.2021.101149 · Cited by 23
Liang, Y., Wang, S., Huang, X. Y., Chai, R., Tang, Q., Yang, R. L., Huang, X., Wang, X., & Zheng, K. (2021) · Computational and Mathematical Methods in Medicine · doi:10.1155/2021/8238833 · Cited by 23
Li, S., Han, H., Yang, K., Li, X., Ma, L., Yang, Z. R., & Zhao, Y. (2024) · International Immunopharmacology · doi:10.1016/j.intimp.2024.113702 · Cited by 21
Zhang, H., Zhang, N., Dai, Z., Wang, Z., Zhang, X., Liang, X., Zhang, L., Feng, S., Wu, W., Ye, W., et al. (2022) · Molecular Oncology · doi:10.1002/1878-0261.13315 · Cited by 20
Li, D., Yu, H., Hu, J., Li, S., Yan, Y., Li, S., Sun, L., Jiang, G., Hou, L., Zhang, L., et al. (2022) · Journal of Translational Medicine · doi:10.1186/s12967-022-03620-3 · Cited by 20
Lu, J., Shuai, B., Shou, Z., Guo, W., Zhou, C., Ouyang, X., Zhou, H., Li, J., Cui, J., Jiang, F., et al. (2022) · Cancers · doi:10.3390/cancers14194645 · Cited by 19
Huang, Q., Su, M., Zhao, L., Zhang, Z., Zhang, Y., Yang, X., & Wang, J. (2023) · Nano Today · doi:10.1016/j.nantod.2023.101857 · Cited by 20
SLC27A2 mediates FAO in colorectal cancer through nongenic crosstalk regulation of the PPARs pathway
Shang, K., Ma, N., Che, J., Li, H., Hu, J., Sun, H., & Cao, B. (2023) · BMC Cancer · doi:10.1186/s12885-023-10816-3 · Cited by 20
Spatial immunophenotypes predict clinical outcome in intrahepatic cholangiocarcinoma
Zhu, C., Ma, J., Zhu, K., Yu, L., Zheng, B., Rao, D., Zhang, S., Dong, L., Gao, Q., Zhang, X., et al. (2023) · JHEP Reports · doi:10.1016/j.jhepr.2023.100762 · Cited by 20
Wen, Y., Tram, V. T. N., Chen, W., Li, C., Yeh, H., Dung, P. V. T., Jiang, K.-C., Li, H., Huang, J., Hsiao, M., et al. (2023) · Cell Death and Disease · doi:10.1038/s41419-023-05836-7 · Cited by 20
DNA vaccines as promising immuno-therapeutics against cancer: a new insight
Shariati, A., Khezrpour, A., Shariati, F. S., Afkhami, H., Yarahmadi, A., Alavimanesh, S., Kamrani, S., Modarressi, M. H., & Khani, P. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1498431 · Cited by 21
Non-invasive monitoring of low molecular weight biomarkers relevant to skin inflammation and cancer
Jankovskaja, S. (2021) · doi:10.24834/isbn.9789178772230 · Cited by 20
Xu, Z., He, Y., Zhang, X., Tu, W., Li, X., Wang, D., Yan, Y., Gao, J., Wang, D., & Gao, D. (2024) · Advanced Healthcare Materials · doi:10.1002/adhm.202401741 · Cited by 19
Yang, M., Mahanty, A., Jin, C., Wong, A. N. N., & Yoo, J. S. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2022-005199 · Cited by 23
Liu, M., Cheng, L., Yi, H., He, Y., Li, X., Fu, D., Dai, Y.-T., Fang, H., Cheng, S., Xu, P., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.885011 · Cited by 19
Metabolic Barriers to Glioblastoma Immunotherapy
Choudhary, N. R., Osorio, R. C., Oh, J. Y., & Aghi, M. K. (2023) · Cancers · doi:10.3390/cancers15051519 · Cited by 21
Dougé, A., El-Ghazzi, N., Lemal, R., & Rouzaire, P. (2023) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-23-0310 · Cited by 21
Safadi, D. E., Paulo-Ramos, A., Hoareau, M., Roche, M., Trotot, P. K., Lebeau, G., & Viranaïcken, W. (2023) · Viruses · doi:10.3390/v15122399 · Cited by 25
Tumor-associated macrophages affect the treatment of lung cancer
Yu, Z., Zou, J., & Xu, F. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e29332 · Cited by 22
The role of CD8 PET imaging in guiding cancer immunotherapy
Zhang, J., Du, B., Wang, Y., Cui, Y., Wang, S., Zhao, Y., Li, Y., & Li, X. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1428541 · Cited by 21
Liu, Y., Li, H., Hao, Y., Huang, L., Li, X., Zou, J., Zhang, S., Yang, X., Chen, H., Guo, Y., et al. (2024) · Small · doi:10.1002/smll.202406870 · Cited by 19
Suppressive Myeloid Cells Shape the Tumor Immune Microenvironment
Xiong, J., Wang, H., & Wang, Q. (2021) · Advanced Biology · doi:10.1002/adbi.201900311 · Cited by 19
Targeting the spectrum of immune checkpoints in prostate cancer
Sena, L. A., Denmeade, S. R., & Antonarakis, E. S. (2021) · Expert Review of Clinical Pharmacology · doi:10.1080/17512433.2021.1949287 · Cited by 19
Stimuli-responsive nanomaterials for cancer treatment: boundaries, opportunities and applications
Lafuente‐Gómez, N., Latorre, A., Milán-Rois, P., Rodríguez-Díaz, C., & Somoza, Á. (2021) · Chemical Communications · doi:10.1039/d1cc05056g · Cited by 19
Metadata
- Authors
- Leone, R. D., & Powell, J. D.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Powell, Jonathan D.
- Venue
- Nature Reviews Cancer
- Published
- 2020-07-06
- Volume
- 20
- Issue
- 9
- Pages
- 516-531
- ISSN
- 1474-175X (ISSN-L)
- 1474-1768
- PMC
- PMC8041116
- OpenAlex
- W3040651070
- Semantic Scholar
- 9e54633c23933564226222b58eee14bffccca97c
- Cited by
- 877
- References
- 228
- Citations by year
- 2026: 137 · 2025: 168 · 2024: 141 · 2023: 135 · 2022: 185 · 2021: 98 · 2020: 12
- FWCI
- 11.48
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature reviews. Cancer (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (R01CA229451, R01CA226765)
- National Institute of Allergy and Infectious Diseases (R01AI077610)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Keywords
- immune cell metabolism, cancer metabolism, tumor microenvironment, tumor acidosis, tumor hypoxia, nutrient depletion, adaptive immunity, innate immunity, metabolic heterogeneity, metabolic plasticity, metabolic vulnerability, immunotherapy, antitumor immunity
- MeSH terms
- Animals, Humans, Immune System, Immunotherapy, Neoplasms, Tumor Microenvironment
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
