Engineering patient-specific cancer immunotherapies
Open accessAbstract
Research into the immunological processes implicated in cancer has yielded a basis for the range of immunotherapies that are now considered the fourth pillar of cancer treatment (alongside surgery, radiotherapy and chemotherapy). For some aggressive cancers, such as advanced non-small-cell lung carcinoma, combination immunotherapies have resulted in unprecedented treatment efficacy for responding patients, and have become frontline therapies. Individualized immunotherapy, enabled by the identification of patient-specific mutations, neoantigens and biomarkers, and facilitated by advances in genomics and proteomics, promises to broaden the responder patient population. In this Perspective, we give an overview of immunotherapies leveraging engineering approaches, including the design of biomaterials, delivery strategies and nanotechnology solutions, for the realization of individualized cancer treatments such as nanoparticle vaccines customized with neoantigens, cell therapies based on patient-derived dendritic cells and T cells, and combinations of theranostic strategies. Developments in precision cancer immunotherapy will increasingly rely on the adoption of engineering principles.
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Deep Reinforcement Learning (DRL) combines reinforcement learning and deep neural networks and combines the advantages of both.
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References 189 · Cited by 208
- Authors
- Scheetz, L., Park, K. S., Li, Q., Lowenstein, P. R., Castro, M. G., Schwendeman, A., & Moon, J. J.
- Affiliations
- University of Michigan (US)
- Corresponding author
- Moon, James J.
- Venue
- Nature Biomedical Engineering
- Published
- 2019-08-12
- Volume
- 3
- Issue
- 10
- Pages
- 768-782
- ISSN
- 2157-846X (ISSN-L)
- PMC
- PMC6783331
- OpenAlex
- W2967618321
- Cited by
- 208
- References
- 189
- Citations by year
- 2026: 14 · 2025: 27 · 2024: 50 · 2023: 35 · 2022: 21 · 2021: 34 · 2020: 26 · 2019: 1
- FWCI
- 1.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Nature Biomedical Engineering (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Health & Human Services | NIH | National Cancer Institute (R01CA210273, R01CA223804, U01CA210152)
- U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (R01EB022563)
- U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (R01HL134569)
- U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (R01AI127070)
- U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (R21NS091555)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Health Sciences › Medicine › Oncology › CAR-T cell therapy research
- Keywords
- cancer immunotherapy, neoantigens, biomaterials, nanoparticle vaccine, dendritic cell immunotherapy, T cell engineering, theranostics, biomarker discovery, non-small cell lung cancer, combination immunotherapy, precision oncology
- MeSH terms
- Theranostic Nanomedicine, Algorithms, Animals, Antigens, Neoplasm, Antineoplastic Agents, Carcinoma, Non-Small-Cell Lung, Dendritic Cells, Drug Therapy, Drug Therapy, Combination, Genetic Vectors, Humans, Immunotherapy, Mutation, Phototherapy, T-Lymphocytes, Biomarkers, Tumor, Vaccines, Synthetic, Drug Delivery Systems, Cancer Vaccines, Nanotechnology, Nanoparticles, Precision Medicine, Cell- and Tissue-Based Therapy
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