The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Targeting immune cells for cancer therapy
Open accessAbstract
Recent years have seen a renaissance in the research linking inflammation and cancer with immune cells playing a central role in smouldering inflammation in the tumor microenvironment. Diverse immune cell types infiltrate the tumor microenvironment, and the dynamic tumor-immune cell interplay gives rise to a rich milieu of cytokines and growth factors. Fundamentally, this intricate cross-talk creates the conducive condition for tumor cell proliferation, survival and metastasis. Interestingly, the prominent impact of immune cells is expounded in their contrary pro-tumoral role, as well as their potential anti-cancer cellular weaponry. The latter is known as immunotherapy, a concept born out of evidence that tumors are susceptible to immune defence and that by manipulating the immune system, tumor growth can be successfully restrained. Naturally, a deeper understanding of the multifaceted roles of various immune cell types thus contributes toward developing innovative anti-cancer strategies. Therefore, in this review we first outline the roles played by the major immune cell types, such as macrophages, neutrophils, natural killer cells, T cells and B cells. We then explain the recently-explored strategies of immunomodulation and discuss some important approaches via an immunology perspective.
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Cites
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BackgroundMutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
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Metadata
- Authors
- Gun, S. Y., Lee, S. W. L., Sieow, J. L., & Wong, S. C.
- Venue
- Redox Biology
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 25
- Pages
- 101174
- ISSN
- 2213-2317 (ISSN-L)
- OpenAlex
- W2923042525
- Cited by
- 229
- References
- 52
- FWCI
- 11.70
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
