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 accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors
Routy, B., Le Chatelier, E., Derosa, L., Duong, C. P. M., Alou, M. T., Daillère, R., Fluckiger, A., Messaoudene, M., Rauber, C., Roberti, M. P., et al. (2018) · Science · doi:10.1126/science.aan3706 · Cited by 5,671
Multidrug resistance in cancer: role of ATP–dependent transporters
Gottesman, M. M., Fojo, T., & Bates, S. E. (2002) · Nature Reviews Cancer · doi:10.1038/nrc706 · Cited by 5,536
Curiel, T. J., Coukos, G., Zou, L., Alvarez, X., Cheng, P., Mottram, P., Evdemon-Hogan, M., Conejo-Garcia, J. R., Zhang, L., Burow, M., et al. (2004) · Nature Medicine · doi:10.1038/nm1093 · Cited by 5,151
Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients
Gopalakrishnan, V., Spencer, C. N., Nezi, L., Reuben, A., Andrews, M. C., Karpinets, T. V., Prieto, P. A., Vicente, D., Hoffman, K., Wei, S. C., et al. (2018) · Science · doi:10.1126/science.aan4236 · Cited by 4,812 · cited 3×
“Additionally, cancer patients that responded to immunotherapy had an increase in antitumor killer T cells and the difference in killer T cell quantity was correlated to the presence of species within the Faecalibacterium and Clostridiales phyla [13].”
BackgroundNeoantigens in cancer immunotherapy
Schumacher, T. N., & Schreiber, R. D. (2015) · Science · doi:10.1126/science.aaa4971 · Cited by 4,783
Commensal Bifidobacterium promotes antitumor immunity and facilitates anti–PD-L1 efficacy
Sivan, A., Corrales, L., Hubert, N., Williams, J. B., Aquino-Michaels, K., Earley, Z. M., Benyamin, F. W., Man Lei, Y., Jabri, B., Alegre, M.-L., et al. (2015) · Science · doi:10.1126/science.aac4255 · Cited by 3,888 · cited 3×
“[34] demonstrated that the rate of tumor growth decreased through oral administration of the Bifidobacteria alone or in combination with anti-PD-L1 immunotherapy in mouse models of melanoma.”
BackgroundAnticancer immunotherapy by CTLA-4 blockade relies on the gut microbiota
Vétizou, M., Pitt, J. M., Daillère, R., Lepage, P., Waldschmitt, N., Flament, C., Rusakiewicz, S., Routy, B., Roberti, M. P., Duong, C. P. M., et al. (2015) · Science · doi:10.1126/science.aad1329 · Cited by 3,488 · cited 1×
“[33] demonstrated a correlation between the effectiveness of cancer immunotherapies and the composition of the gut microbiome, thereby implicating a more involved role for probiotics.”
BackgroundMutations Associated with Acquired Resistance to PD-1 Blockade in Melanoma
Zaretsky, J. M., Garcia-Diaz, A., Shin, D. S., Escuin-Ordinas, H., Hugo, W., Hu-Lieskovan, S., Torrejon, D. Y., Abril-Rodriguez, G., Sandoval, S., Barthly, L., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1604958 · Cited by 3,237
The gut flora as a forgotten organ
O'Hara, A. M., & Shanahan, F. (2006) · The EMBO Reports · doi:10.1038/sj.embor.7400731 · Cited by 2,791
Commensal Bacteria Control Cancer Response to Therapy by Modulating the Tumor Microenvironment
Iida, N., Dzutsev, A., Stewart, C. A., Smith, L., Bouladoux, N., Weingarten, R. A., Molina, D. A., Salcedo, R., Back, T., Cramer, S., et al. (2013) · Science · doi:10.1126/science.1240527 · Cited by 2,251
Cited by
Myeloid-Derived Suppressor Cells as a Therapeutic Target for Cancer
Law, A. M. K., Valdes-Mora, F., & Gallego-Ortega, D. (2020) · Cells · doi:10.3390/cells9030561 · Cited by 455
Genome engineering of induced pluripotent stem cells to manufacture natural killer cell therapies
Shankar, K., Capitini, C. M., & Saha, K. (2020) · Stem Cell Research & Therapy · doi:10.1186/s13287-020-01741-4 · Cited by 85
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
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- 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.