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Combination cancer immunotherapies tailored to the tumour microenvironment
Abstract
Evidence suggests that cancer immunotherapy will be a major part of the combination treatment plan for many patients with many cancer types in the near future. There are many types of immune processes involving different antitumour and tumour-promoting leucocytes, and tumour cells use many strategies to evade the immune response. The tumour microenvironment can help determine which immune suppressive pathways become activated to restrain antitumour immunity. This includes immune checkpoint receptors on effector T-cells and myeloid cells, and release of inhibitory cytokines and metabolites. Therapeutic approaches that target these pathways, particularly immune-checkpoint receptors, can induce durable antitumour responses in patients with advanced-stage cancers, including melanoma. Nevertheless, many patients do not have a good response to monotherapy approaches and alternative strategies are required to achieve optimal therapeutic benefit. These strategies include eliminating the bulk of tumour cells to provoke tumour-antigen release and antigen-presenting cell (APC) function, using adjuvants to enhance APC function, and using agents that enhance effector-cell activity. In this Review, we discuss the stratification of the tumour microenvironment according to tumour-infiltrating lymphocytes and PD-L1 expression in the tumour, and how this stratification enables the design of optimal combination cancer therapies tailored to target different tumour microenvironments.
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“On the other hand, some positive factors such as immunogenic cancer cell death, immunosupportive cytokines, and professional antigen presentation cells (pAPCs) contribute to immune clearance [21].”
From Combination strategies with PD-1/PD-L1 blockade: current advances and future directions (2022) · cites this paper as [21]
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“This challenge has sparked a growing interest in rational combination strategies that can initiate tumor cell death and reprogram the immune landscape [27].”
Jin, C., Zhang, Y., Zhang, G., Wang, B., & Hua, P. (2021) · Biomaterials Advances · doi:10.1016/j.msec.2021.112603 · Cited by 8
Hasan, S., Awasthi, P., Malik, S., & Dwivedi, M. (2022) · Biotechnology and Genetic Engineering Reviews · doi:10.1080/02648725.2022.2147661 · Cited by 8
“The immune checkpoint receptors that act as the primary targets of clinical cancer immunotherapy include cytotoxic T lymphocyte-associated antigen 4 (CTLA-4), programmed cell death protein 1 (PD-1), programmed cell death ligand 1 (PD-L1), lymphocyte activation gene 3 (LAG-3), B and T lymphocyte attenuator (BTLA), and…”
Immunotherapy for HCC: limitations in patients with NASH
Agarwal, P. D., Lucey, M. R., Said, A., & Kratz, J. D. (2023) · Annals of Hepatology · doi:10.1016/j.aohep.2022.100886 · Cited by 8
Use of multi-color flow cytometry for canine immune cell characterization in cancer
Parys, M., Bavčar, Š., Mellanby, R. J., Argyle, D. J., & Kitamura, T. (2023) · PLoS ONE · doi:10.1371/journal.pone.0279057 · Cited by 8
“However, their efficacies are limited to a fraction of patients likely due to suppressive effects of tumor microenvironment on immune system [2, 3].”
BackgroundKitamura, T. (2023) · Essays in Biochemistry · doi:10.1042/ebc20230002 · Cited by 8
Peng, M., Dong, H., Shao, M., Zhang, X., Sun, J., Ding, C., Han, X., Yang, Q., Sang, X., & Cao, G. (2024) · Journal of Controlled Release · doi:10.1016/j.jconrel.2024.01.022 · Cited by 8
Revisiting 'Hallmarks of Cancer' In Sarcomas
Honoki, K., Tsujiuchi, T., Kishi, S., & Kuniyasu, H. (2024) · Journal of Cancer · doi:10.7150/jca.92844 · Cited by 9
“…of the TIME through genomic instability and following neoantigen generation, T cell recognition and resultant tumor cell immunosuppressive programs could stratify tumors with different TIMEs that brings implications for cancer immunotherapy strategies in sarcomas in the future [106, 107].”
BackgroundThe Era of Checkpoint Inhibition: Lessons Learned from Melanoma
Paschen, A., & Schadendorf, D. (2019) · Recent results in cancer research/Recent Results in Cancer Research · doi:10.1007/978-3-030-23765-3_6 · Cited by 9
Kashima, S., Tanabe, H., Tanino, M. A., Kobayashi, Y., Murakami, Y., Iwama, T., Sasaki, T., Kunogi, T., Takahashi, K., Ando, K., et al. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.01375 · Cited by 8
“The mechanism of action and clinical efficacy of anti PD-1 therapies have been extensively studied and reviewed elsewhere (11, 12).”
BackgroundWang, S., Yu, X., Li, F., Fan, H., Zhao, E., & Hu, Z. (2021) · Cancer Biomarkers · doi:10.3233/cbm-203092 · Cited by 8
“Interestingly, increased cytokine levels have been associated with resistance to targeted therapies [19,20].”
Hoffmann, A., Behrens, H., Heckl, S. M., Krüger, S., Becker, T., & Röcken, C. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11111184 · Cited by 9
“Interestingly, retrospective studies of different patient populations treated with immune-checkpoint inhibitors demonstrated TIME-dependent treatment efficacy [15,16].”
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Fitzgerald, R. C., & Vaezi, M. F. (2017) · Gastroenterology · doi:10.1053/j.gastro.2017.12.017 · Cited by 8
“While there is much work to be done, better molecular stratification of patients according to their likely response should improve outcomes and immune checkpoint inhibitors appear to have some activity.(37) It is our hope that these articles will be a useful and comprehensive reference source for new and experienced r…”
BackgroundMetal-based biomaterials for cancer gene therapy
Li, S., Zhang, C., Xu, X., Wang, X., Ren, H., Sun, B., & Zhang, Y. (2025) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2025.216720 · Cited by 7
Guan, C., Li, X., Zeng, X., Du, Z., Zhou, Z., Zhao, J., Song, L., & Yu, L. (2025) · Therapeutic Advances in Medical Oncology · doi:10.1177/17588359251403904 · Cited by 7
Agnostic evaluation of ipilimumab and nivolumab association: a metanalysis
Marchetti, P., Botticelli, A., Ascierto, A. P., Curigliano, G., & Giannarelli, D. (2020) · Journal of Translational Medicine · doi:10.1186/s12967-020-02588-2 · Cited by 7
“The goal of combination approaches, targeting several steps of the cancer-immunity cycle, is to CA209-067 n + i = 314 n = 316 n + i = 11.5 n = 6.93 HR 0.79 CA209-227 (PFS TMB High) n + i = 101 n = 102 1 yr n + i = 42% n = 29% HR 0.75 CA209-227 (PFS PD-L1 > 1”
InfluentialZhou, W., Lin, J., Liu, J., Zhang, R., Fan, A., Xie, Q., Liu, H., & Fan, D. (2023) · Aging · doi:10.18632/aging.204525 · Cited by 7
Sverdlov, E. D. (2018) · Biochemistry (Moscow) · doi:10.1134/s0006297918040089 · Cited by 7
Zhang, Y., & Han, K. (2019) · Journal of Cancer Research and Therapeutics · doi:10.4103/jcrt.jcrt_636_18 · Cited by 7
Accordino, G., Lettieri, S., Bortolotto, C., Benvenuti, S., Gallotti, A., Gattoni, E., Agustoni, F., Pozzi, E., Rinaldi, P., Primiceri, C., et al. (2020) · Cancers · doi:10.3390/cancers12082105 · Cited by 7
“This paradigm has been now shifted to a more comprehensive understanding of molecular machinery of cancer development which points out the complex interaction between malignant cells and tumor surrounding stroma, which is essential to support each steps of malignant progression [110,111].”
BackgroundImmune-Modulating Effects of Conventional Therapies in Colorectal Cancer
Kalanxhi, E., Meltzer, S., & Ree, A. H. (2020) · Cancers · doi:10.3390/cancers12082193 · Cited by 7
“Furthermore, inflammation in the hypoxic TME provokes immune tolerance via tumor- and T-cell expression of immune checkpoint proteins [13,14].”
BackgroundTargeted therapy for LIMD1-deficient non-small cell lung cancer subtypes
Davidson, K. M., Grevitt, P., G., M. F. C., Bridge, K. S., Hermida, M. A., Shah, K., Mardakheh, F. K., Stubbs, M., Clarke, P. A., Burke, R., et al. (2021) · Cell Death and Disease · doi:10.1038/s41419-021-04355-7 · Cited by 7
“When used in combination with immunotherapy, this has achieved significant survival benefit for select patient subgroups [7].”
MethodCMTM6 and CMTM7: New leads for PD‐L1 regulation in breast cancer cells undergoing EMT
Xiao, M., Duhem, C., Chammout, A., Berchem, G., & Janji, B. (2022) · Journal of Cellular Biochemistry · doi:10.1002/jcb.30273 · Cited by 7
Kong, Y., Xue, Z., Wang, H., Cui, G., Chen, A., Liu, J., Wang, J., Li, X., & Huang, B. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.890174 · Cited by 8
Tripartite antigen-agnostic combination immunotherapy cures established poorly immunogenic tumors
Borchmann, S., Selenz, C., Lohmann, M., Ludwig, H., Gassa, A., Brägelmann, J., Lohneis, P., Meder, L., Mattlener, J., Breid, S., et al. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2022-004781 · Cited by 7
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Metadata
- Authors
- Smyth, M. J., Ngiow, S. F., Ribas, A., & Teng, M. W. L.
- Affiliations
- QIMR Berghofer Medical Research Institute (AU)
- University of California, Los Angeles (US)
- Corresponding author
- Teng, Michele W. L.
- Venue
- Nature Reviews Clinical Oncology
- Published
- 2015-11-24
- Volume
- 13
- Issue
- 3
- Pages
- 143-158
- ISSN
- 1759-4774 (ISSN-L)
- 1759-4782
- OpenAlex
- W2257916459
- Cited by
- 944
- References
- 218
- Citations by year
- 2026: 28 · 2025: 50 · 2024: 71 · 2023: 82 · 2022: 132 · 2021: 102 · 2020: 134 · 2019: 95 · 2018: 99 · 2017: 89 · 2016: 56 · 2015: 3
- FWCI
- 8.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Clinical Oncology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Amgen
- Bristol-Myers Squibb
- Kite Pharma
- National Cancer Institute (R35CA197633)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Keywords
- cancer immunotherapy, combination therapy, tumor microenvironment, immune evasion, immune checkpoint receptors, PD-L1, tumor-infiltrating lymphocytes, myeloid cells, inhibitory cytokines, antigen-presenting cells, adjuvants, melanoma
- MeSH terms
- Adjuvants, Immunologic, Animals, Antibodies, Monoclonal, Antineoplastic Combined Chemotherapy Protocols, Humans, Immunotherapy, Neoplasms, Signal Transduction, Treatment Outcome, Tumor Escape, Molecular Targeted Therapy, Tumor Microenvironment, B7-H1 Antigen
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