The DOI matches its Crossref record; 212 of the 212 references it cites were found in a registry or an index.
Advantages of targeting the tumor immune microenvironment over blocking immune checkpoint in cancer immunotherapy
Open accessAbstract
Despite great success in cancer immunotherapy, immune checkpoint-targeting drugs are not the most popular weapon in the armory of cancer therapy. Accumulating evidence suggests that the tumor immune microenvironment plays a critical role in anti-cancer immunity, which may result in immune checkpoint blockade therapy being ineffective, in addition to other novel immunotherapies in cancer patients. In the present review, we discuss the deficiencies of current cancer immunotherapies. More importantly, we highlight the critical role of tumor immune microenvironment regulators in tumor immune surveillance, immunological evasion, and the potential for their further translation into clinical practice. Based on their general targetability in clinical therapy, we believe that tumor immune microenvironment regulators are promising cancer immunotherapeutic targets. Targeting the tumor immune microenvironment, alone or in combination with immune checkpoint-targeting drugs, might benefit cancer patients in the future.
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Cites
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F.-A., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E.-M., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,845
Adverse Renal Effects of Immune Checkpoint Inhibitors: A Narrative Review
Wanchoo, R., Karam, S., Uppal, N. N., Barta, V. S., Deray, G., Devoe, C., Launay-Vacher, V., Jhaveri, K. D., & on behalf of Cancer and Kidney International Network Workgroup on Immune Checkpoint Inhibitors (2017) · American Journal of Nephrology · doi:10.1159/000455014 · Cited by 15,256
Safety, activity, and immune correlates of anti–PD-1 antibody in cancer
Topalian, S. L., Hodi, F. S., Brahmer, J. R., Gettinger, S. N., Smith, D. C., McDermott, D. F., Powderly, J. D., Carvajal, R. D., Sosman, J. A., Atkins, M. B., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1200690 · Cited by 12,628
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
Safety and activity of anti-PD-L1 antibody in patients with advanced cancer
Brahmer, J. R., Tykodi, S. S., Chow, L. Q. M., Hwu, W.-J., Topalian, S. L., Hwu, P., Drake, C. G., Camacho, L. H., Kauh, J., Odunsi, K., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1200694 · Cited by 7,945
Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
Rizvi, N. A., Hellmann, M. D., Snyder, A., Kvistborg, P., Makarov, V., Havel, J. J., Lee, W., Yuan, J., Wong, P., Ho, T. S., et al. (2015) · Science · doi:10.1126/science.aaa1348 · Cited by 7,802
Atezolizumab plus bevacizumab in unresectable hepatocellular carcinoma
Finn, R. S., Qin, S., Ikeda, M., Galle, P. R., Ducreux, M., Kim, T.-Y., Kudo, M., Breder, V., Merle, P., Kaseb, A. O., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa1915745 · Cited by 7,470
Galluzzi, L., Vitale, I., Aaronson, S. A., Abrams, J. M., Adam, D., Agostinis, P., Alnemri, E. S., Altucci, L., Amelio, I., Andrews, D. W., et al. (2018) · Cell Death & Differentiation · doi:10.1038/s41418-017-0012-4 · Cited by 6,680
Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade
Le, D. T., Durham, J. N., Smith, K. N., Wang, H., Bartlett, B. R., Aulakh, L. K., Lu, S., Kemberling, H., Wilt, C., Luber, B. S., et al. (2017) · Science · doi:10.1126/science.aan6733 · Cited by 6,645
PD-1 blockade induces responses by inhibiting adaptive immune resistance
Tumeh, P. C., Harview, C. L., Yearley, J. H., Shintaku, I. P., Taylor, E. J. M., Robert, L., Chmielowski, B., Spasic, M., Henry, G., Ciobanu, V., et al. (2014) · Nature · doi:10.1038/nature13954 · Cited by 6,609 · cited 2×
“It was hypothesized that the activity of ICP therapy relied mostly on pre-existing CD8+ T-cell infiltration.68 For example, Tumeh et al.69 investigated 46 patients with advanced melanoma who received anti-PD-1 therapy.”
Background
Research works printed but not linked: 3
- Bulloch, M. N., Elayan, M. M. & Renfroe, H. R. Sipuleucel-T: a therapeutic cancer vaccine for the treatment of castration- or hormone-refractory prostate cancer. Expert Rev. Clin. Pharm. 4, 685–692 (2011). · doi:10.1586/ecp.11.60
- Crawford, E. D. et al. Optimal timing of sipuleucel-T treatment in metastatic castration-resistant prostate cancer. Can. J. Urol. 22, 8048–8055 (2015).
- Rao, Q. et al. Clinical benefits of PD-1/PD-L1 inhibitors in advanced hepatocellular carcinoma: a systematic review and meta-analysis. Hepatol. Int. 14, 765–775 (2020). · doi:10.1007/s12072-020-10064-8
Cited by
Angiogenic signaling pathways and anti-angiogenic therapy for cancer
Liu, Z.-L., Chen, H.-H., Zheng, L.-L., Sun, L.-P., & Shi, L. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01460-1 · Cited by 1,300
Managing Resistance to Immune Checkpoint Inhibitors in Lung Cancer: Treatment and Novel Strategies
Passaro, A., Brahmer, J., Antonia, S., Mok, T., & Peters, S. (2022) · Journal of Clinical Oncology · doi:10.1200/jco.21.01845 · Cited by 303
Stimuli‐Responsive Nanoparticles for Controlled Drug Delivery in Synergistic Cancer Immunotherapy
Zhang, J., Lin, Y., Lin, Z., Wei, Q., Qian, J., Ruan, R., Jiang, X., Hou, L., Song, J., Ding, J., et al. (2022) · Advanced Science · doi:10.1002/advs.202103444 · Cited by 292
Xu, Y., Su, G.-H., Ma, D., Xiao, Y., Shao, Z.-M., & Jiang, Y.-Z. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00729-7 · Cited by 163
“20,21 There are two main categories for the compositions of the TIME, i.e., immune cells and secreted factors, such as cytokines, chemokines, and growth factors.”
BackgroundNIBAN1, Exploring its Roles in Cell Survival Under Stress Context
Diana, P., & Carvalheira, G. M. G. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.867003 · Cited by 26
Metadata
- Authors
- Tang, T., Huang, X., Zhang, G., Hong, Z., Bai, X., & Liang, T.
- Venue
- Signal Transduction and Targeted Therapy
- Published
- 2021-02-20
- Volume
- 6
- Issue
- 1
- Pages
- 72-72
- ISSN
- 2059-3635 (ISSN-L)
- OpenAlex
- W3129646946
- Cited by
- 607
- References
- 212
- FWCI
- 27.48
- Type
- journal article
- Language
- en
- Open access
- gold
- Licence
- creativecommons.org/licenses/by/4.0 (tdm)
- creativecommons.org/licenses/by/4.0 (vor)
- Funders
- National Natural Science Foundation of China (31970696, 81502975, 81871925)
- China Postdoctoral Science Foundation
- Key Research and Development Program of Zhejiang Province
- National Key Research and Development Program
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- Tang, T., Huang, X., Zhang, G., Hong, Z., Bai, X., & Liang, T. (2021). Advantages of targeting the tumor immune microenvironment over blocking immune checkpoint in cancer immunotherapy. Signal Transduction and Targeted Therapy. https://doi.org/10.1038/s41392-020-00449-4
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