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Cited by 452

The DOI matches its Crossref record; 201 of the 201 references it cites were found in a registry or an index.

Colorectal Cancer Immunotherapy: Options and Strategies

Open access
Johdi, Nor Adzimah, Sukor, Nur Fazilah·2020·Frontiers in Immunology

Abstract

Colorectal cancer is the third most common cancer in the world with increasing incidence and mortality rates globally. Standard treatments for colorectal cancer have always been surgery, chemotherapy and radiotherapy which may be used in combination to treat patients. However, these treatments have many side effects due to their non-specificity and cytotoxicity toward any cells including normal cells that are growing and dividing. Furthermore, many patients succumb to relapse even after a series of treatments. Thus, it is crucial to have more alternative and effective treatments to treat CRC patients. Immunotherapy is one of the new alternatives in cancer treatment. The strategy is to utilize patients' own immune systems in combating the cancer cells. Cancer immunotherapy overcomes the issue of specificity which is the major problem in chemotherapy and radiotherapy. The normal cells with no cancer antigens are not affected. The outcomes of some cancer immunotherapy have been astonishing in some cases, but some which rely on the status of patients' own immune systems are not. Those patients who responded well to cancer immunotherapy have a better prognostic and better quality of life.

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Metadata

Authors
Johdi, N. A., & Sukor, N. F.
Venue
Frontiers in Immunology
Published
2020-09-18
Volume
11
Pages
1624-1624
ISSN
1664-3224 (ISSN-L)
OpenAlex
W3087639804
Cited by
452
References
201
FWCI
18.29
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Colorectal Cancer Immunotherapy: Options and Strategies. https://app.cochat.ai/papers/10.3389/fimmu.2020.01624
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Johdi, N. A., & Sukor, N. F. (2020). Colorectal Cancer Immunotherapy: Options and Strategies. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2020.01624

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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.