The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
The preoperative lymphocyte to monocyte ratio predicts clinical outcome in patients with stage III colon cancer
Open accessAbstract
BACKGROUND: Inflammation has a critical role in the pathogenesis and progression of cancer. The lymphocyte to monocyte ratio (LMR) could be shown to be prognostic in haematologic neoplasia. In this study, we analysed the LMR with clinical outcome in stage II and III colon cancer patients. METHODS: Three hundred and seventy-two patients with stage II and III colon cancer were included in this retrospective study. Kaplan-Meier curves and multivariate Cox-regression analyses were calculated for time to recurrence (TTR) and overall survival (OS). RESULTS: Including all patients, the elevated preoperative LMR was significantly associated with increased TTR and OS in multivariate analysis (HR: 0.47, 95%CI: 0.29-0.76, P=0.002; HR: 0.51, 95%CI: 0.31-0.83, P=0.007; respectively). In subanalyses, the association was limited to patients with stage III (HR: 0.40, 95%CI: 0.22-0.72, P=0.002), in contrast to patients with stage II (HR: 0.40, 95%CI: 0.28-1.66, P=0.397). When the subgroup of patients with 'high-risk' LMR≤2.83 was analysed, no benefit of adjuvant 5-FU-based chemotherapy could be found (HR: 0.99; 95%CI: 0.60-1.63; P=0.953). CONCLUSION: The LMR might be an independent prognostic marker for TTR in stage III colon cancer patients. Our results further suggest that high-risk patients based on the LMR do not benefit from adjuvant chemotherapy. Independent validation of our findings is warranted.
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Siegel, R., Naishadham, D., & Jemal, A. (2013) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21166 · Cited by 11,825
Mantovani, A., Allavena, P., Sica, A., & Balkwill, F. (2008) · Nature · doi:10.1038/nature07205 · Cited by 11,399
The immune contexture in human tumours: impact on clinical outcome
Fridman, W. H., Pagès, F., Sautès-Fridman, C., & Galon, J. (2012) · Nature reviews. Cancer · doi:10.1038/nrc3245 · Cited by 4,981
Spatiotemporal Dynamics of Intratumoral Immune Cells Reveal the Immune Landscape in Human Cancer
Bindea, G., Mlecnik, B., Tosolini, M., Kirilovsky, A., Waldner, M., Obenauf, A. C., Angell, H., Fredriksen, T., Lafontaine, L., Berger, A., et al. (2013) · Immunity · doi:10.1016/j.immuni.2013.10.003 · Cited by 4,422
Tumour-educated macrophages promote tumour progression and metastasis
Pollard, J. W. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1256 · Cited by 3,367
The Immunobiology of Cancer Immunosurveillance and Immunoediting
Dunn, G. P., Old, L. J., & Schreiber, R. D. (2004) · Immunity · doi:10.1016/j.immuni.2004.07.017 · Cited by 3,032
Macrophages: Obligate Partners for Tumor Cell Migration, Invasion, and Metastasis
Condeelis, J., & Pollard, J. W. (2006) · Cell · doi:10.1016/j.cell.2006.01.007 · Cited by 2,695
Bingle, L., Brown, N. J., & Lewis, C. E. (2002) · The Journal of Pathology · doi:10.1002/path.1027 · Cited by 2,022
Colon Cancer Survival Rates With the New American Joint Committee on Cancer Sixth Edition Staging
O'Connell, J. B., Maggard, M. A., & Ko, C. Y. (2004) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djh275 · Cited by 1,599
Schmoll, H. J., Van Cutsem, E., Stein, A., Valentini, V., Glimelius, B., Haustermans, K., Nordlinger, B., van de Velde, C. J., Balmana, J., Regula, J., et al. (2012) · Annals of Oncology · doi:10.1093/annonc/mds236 · Cited by 1,510
Cited by
Monocyte heterogeneity and functions in cancer
Olingy, C. E., Dinh, H. Q., & Hedrick, C. C. (2019) · Journal of Leukocyte Biology · doi:10.1002/jlb.4ri0818-311r · Cited by 579
Inflammation-Related Biomarkers for the Prediction of Prognosis in Colorectal Cancer Patients
Yamamoto, T., Kawada, K., & Obama, K. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22158002 · Cited by 445
Recent Updates of Transarterial Chemoembolilzation in Hepatocellular Carcinoma
Chang, Y., Jeong, S. W., Young Jang, J., & Jae Kim, Y. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21218165 · Cited by 336
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
- Stotz, M., Pichler, M., Absenger, G., Szkandera, J., Arminger, F., Schaberl-Moser, R., Samonigg, H., Stojakovic, T., & Gerger, A.
- Venue
- British Journal of Cancer
- Published
- 2013-12-19
- Volume
- 110
- Issue
- 2
- Pages
- 435-440
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W2084222857
- Cited by
- 310
- References
- 38
- FWCI
- 11.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Stotz, M., Pichler, M., Absenger, G., Szkandera, J., Arminger, F., Schaberl-Moser, R., Samonigg, H., Stojakovic, T., & Gerger, A. (2014). The preoperative lymphocyte to monocyte ratio predicts clinical outcome in patients with stage III colon cancer. British Journal of Cancer. https://doi.org/10.1038/bjc.2013.785
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