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Cited by 313

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Current Challenges in Cancer Immunotherapy: Multimodal Approaches to Improve Efficacy and Patient Response Rates

Open access
Sambi, Manpreet, Bagheri, Leila, Szewczuk, Myron R.·2019·Journal of Oncology

Abstract

Cancer immunotherapy is a promising innovative treatment for many forms of cancer, particularly melanoma. Although immunotherapy has been shown to be efficacious, patient response rates vary and, more often than not, only a small subset of the patients within a large cohort respond favourably to the treatment. This issue is particularly concerning and becomes a challenge of immunotherapy to improve the effectiveness and patient response rates. Here, we review the specific types of available immunotherapy options, their proposed mechanism(s) of action, and the reasons why the patient response to this treatment is variable. The potential favourable options to improve response rates to immunotherapy will be discussed with an emphasis on adopting a multimodal approach on the novel role that the gut microbiota may play in modulating the efficacy of cancer immunotherapy.

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Registry

Crossref · 10.1155/2019/4508794

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Metadata

Authors
Sambi, M., Bagheri, L., & Szewczuk, M. R.
Venue
Journal of Oncology
Publisher
Wiley
Published
2019-02-28
Volume
2019
Pages
1-12
ISSN
  • 1687-8450 (ISSN-L)
  • 1687-8469
OpenAlex
W2918589641
Cited by
313
References
60
FWCI
15.69
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Current Challenges in Cancer Immunotherapy: Multimodal Approaches to Improve Efficacy and Patient Response Rates. https://app.cochat.ai/papers/10.1155/2019/4508794
The paper
Sambi, M., Bagheri, L., & Szewczuk, M. R. (2019). Current Challenges in Cancer Immunotherapy: Multimodal Approaches to Improve Efficacy and Patient Response Rates. Journal of Oncology. https://doi.org/10.1155/2019/4508794

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.