The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
The lymphocyte/monocyte ratio predicts poor clinical outcome and improves the predictive accuracy in patients with soft tissue sarcomas: Lymphocyte/monocyte ratio and clinical outcome in soft tissue sarcoma patients
Abstract
Increasing evidence indicates the involvement of inflammation and coagulation in cancer progression and metastases. Inflammatory biomarkers hold great promise for improving the predictive ability of existing prognostic tools in cancer patients. In the present study, we investigated several inflammatory indices with regard to their prognostic relevance for predicting clinical outcome in soft tissue sarcoma (STS) patients. Three hundred and forty STS patients were divided into a training set (n = 170) and a validation set (n = 170). Besides well-established clinico-pathological prognostic factors, we evaluated the prognostic value of the neutrophil/lymphocyte (N/L) ratio, the lymphocyte/monocyte (L/M) ratio and the platelet/lymphocyte (P/L) ratio using Kaplan-Meier curves and univariate as well as multivariate Cox regression models. Additionally, we developed a nomogram by supplementing the L/M ratio to the well-established Kattan nomogram and evaluated the predictive accuracy of this novel nomogram by applying calibration and Harrell's concordance index (c-index). In multivariate analysis, a low L/M ratio was significantly associated with decreased CSS and DFS (HR = 0.41, 95% CI = 0.18-0.97, p = 0.043; HR = 0.39, 95% CI = 0.16-0.91, p = 0.031, respectively) in the training set. Using the validation set for confirmation, we found also in multivariate analysis an independent value for CSS (HR = 0.33, 95% CI = 0.12-0.90, p = 0.03) and for DFS (HR = 0.36, 95% CI = 0.16-0.79, p = 0.01). The estimated c-index was 0.74 using the original Kattan nomogram and 0.78 when the L/M ratio was added. Our study reports for the first time that the pre-operative L/M ratio represents a novel independent prognostic factor for prediction the clinical outcome in STS patients. This easily determinable biomarker might be helpful in improved individual risk assessment.
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Cites
Mantovani, A., Allavena, P., Sica, A., & Balkwill, F. (2008) · Nature · doi:10.1038/nature07205 · Cited by 11,399
Siegel, R., Naishadham, D., & Jemal, A. (2012) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.20138 · Cited by 10,679
Cancer and the chemokine network
Balkwill, F. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1388 · Cited by 2,343
Bingle, L., Brown, N. J., & Lewis, C. E. (2002) · The Journal of Pathology · doi:10.1002/path.1027 · Cited by 2,022
MMP-9 Supplied by Bone Marrow–Derived Cells Contributes to Skin Carcinogenesis
Coussens, L. M., Tinkle, C. L., Hanahan, D., & Werb, Z. (2000) · Cell · doi:10.1016/s0092-8674(00)00139-2 · Cited by 1,306
External validation is necessary in prediction research:
Bleeker, S. E., Moll, H. A., Steyerberg, E. W., Donders, A. R. T., Derksen-Lubsen, G., Grobbee, D. E., & Moons, K. G. M. (2003) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(03)00207-5 · Cited by 710
Cancer related inflammation: the macrophage connection
Sica, A., Allavena, P., & Mantovani, A. (2008) · Cancer Letters · doi:10.1016/j.canlet.2008.03.028 · Cited by 601
Cited by
Nishijima, T. F., Muss, H. B., Shachar, S. S., Tamura, K., & Takamatsu, Y. (2015) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2015.10.003 · Cited by 324
Dolan, R. D., Lim, J., McSorley, S. T., Horgan, P. G., & McMillan, D. C. (2017) · Scientific Reports · doi:10.1038/s41598-017-16955-5 · Cited by 300
Metadata
- Authors
- Szkandera, J., Gerger, A., Liegl-Atzwanger, B., Absenger, G., Stotz, M., Friesenbichler, J., Trajanoski, S., Stojakovic, T., Eberhard, K., Leithner, A., & Pichler, M.
- Venue
- International Journal of Cancer
- Publisher
- Wiley
- Published
- 2014-01-10
- Volume
- 135
- Issue
- 2
- Pages
- 362-370
- ISSN
- 0020-7136 (ISSN-L)
- OpenAlex
- W2155668225
- Cited by
- 161
- References
- 7
- FWCI
- 8.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Szkandera, J., Gerger, A., Liegl-Atzwanger, B., Absenger, G., Stotz, M., Friesenbichler, J., Trajanoski, S., Stojakovic, T., Eberhard, K., Leithner, A., & Pichler, M. (2014). The lymphocyte/monocyte ratio predicts poor clinical outcome and improves the predictive accuracy in patients with soft tissue sarcomas: Lymphocyte/monocyte ratio and clinical outcome in soft tissue sarcoma patients. International Journal of Cancer. https://doi.org/10.1002/ijc.28677
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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.