Identifying and Targeting Human Tumor Antigens for T Cell-Based Immunotherapy of Solid Tumors
Open accessAbstract
Cancer elimination in humans can be achieved with immunotherapy that relies on T lymphocyte-mediated recognition of tumor antigens. Several types of these antigens have been recognized based on their cellular origins and expression patterns, while their detection has been greatly facilitated by recent achievements in next-generation sequencing and immunopeptidomics. Some of them have been targeted in clinical trials with various immunotherapy approaches, while many others remain untested. Here, we discuss molecular identification of different tumor antigen types, and the clinical safety and efficacy of targeting them with immunotherapy. Additionally, we suggest strategies to increase the efficacy and availability of antigen-directed immunotherapies for treatment of patients with metastatic cancer.
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Application of ACT in solid tumors encounters significant limitations and challenges, primarily stemming from the availability and quality of isolated immune cells.
“However, the application of ACT in solid tumors encounters significant limitations and challenges, primarily stemming from the availability and quality of isolated immune cells.”
From Current and Future Trends of Colorectal Cancer Treatment: Exploring Advances in Immunotherapy (2024) · cites this paper as [132]
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Therapeutic cancer vaccines: Advancements, challenges, and prospects
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“” This could also cause unintentional cross-reactivity expressing normal proteins with a similar structure called “off-target toxicity” [11].”
BackgroundCurrent and Future Trends of Colorectal Cancer Treatment: Exploring Advances in Immunotherapy
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- Authors
- Leko, V., & Rosenberg, S. A.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Leko, Vid
- Rosenberg, Steven A.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 38
- Issue
- 4
- Pages
- 454-472
- ISSN
- 1535-6108 (ISSN-L)
- PMC
- PMC7737225
- OpenAlex
- W3052573234
- Cited by
- 449
- References
- 167
- Citations by year
- 2026: 61 · 2025: 97 · 2024: 104 · 2023: 79 · 2022: 72 · 2021: 36
- FWCI
- 4.56
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cancer Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Keywords
- tumor antigens, T cell-based immunotherapy, solid tumors, cancer immunotherapy, immunopeptidomics, antigen identification, metastatic cancer, treatment efficacy and safety
- MeSH terms
- Immune Checkpoint Inhibitors, Antigens, Neoplasm, Humans, Immunotherapy, Interleukin-2, Neoplasms, T-Lymphocytes, Immunotherapy, Adoptive, Models, Immunological, Oncolytic Virotherapy
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 ›
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