The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Inflammation-Related Biomarkers for the Prediction of Prognosis in Colorectal Cancer Patients
Open accessAbstract
Colorectal cancer (CRC) is the leading cause of cancer deaths around the world. It is necessary to identify patients with poor prognosis or with high risk for recurrence so that we can selectively perform intensive treatments such as preoperative and/or postoperative chemotherapy and extended surgery. The clinical usefulness of inflammation-related prognostic biomarkers available from routine blood examination has been reported in many types of cancer, e.g., neutrophil–lymphocyte ratio (NLR), lymphocyte–C-reactive protein ratio (LCR), platelet–lymphocyte ratio (PLR), lymphocyte–monocyte ratio (LMR), and so on. Moreover, some scoring systems based on circulating blood cell counts and albumin concentration have been also reported to predict cancer patients’ prognosis, such as the Glasgow prognostic score (GPS), systemic inflammation score (SIS), and prognostic nutritional index (PNI). The optimal biomarker and optimal cutoff value of the markers can be different depending on the cancer type. In this review, we summarize the prognostic impact of each inflammation-related marker in CRC.
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Cited by
An updated landscape on nanopharmaceutical delivery for mitigation of colon cancer
Shahzad, M., Hameed, H., Amjad, A., Khan, M. A., Qureshi, I. S., Hameed, A., Saeed, A., & Munir, R. (2025) · Naunyn-Schmiedeberg's Archives of Pharmacology · doi:10.1007/s00210-024-03482-0 · Cited by 7
Metadata
- Authors
- Yamamoto, T., Kawada, K., & Obama, K.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2021-07-27
- Volume
- 22
- Issue
- 15
- Pages
- 8002
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W3183775578
- Cited by
- 445
- References
- 73
- FWCI
- 20.71
- Type
- journal article
- Language
- en
- Open access
- gold
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- Yamamoto, T., Kawada, K., & Obama, K. (2021). Inflammation-Related Biomarkers for the Prediction of Prognosis in Colorectal Cancer Patients. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms22158002
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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