Usefulness of the Neutrophil-to-Lymphocyte Ratio in Predicting Short- and Long-Term Mortality in Breast Cancer Patients
Abstract
Background The neutrophil-to-lymphocyte ratio (NLR) is a strong predictor of mortality in patients with colorectal, gastric, hepatocellular, pancreatic, and lung cancer. To date, the utility of NLR to predict mortality in breast cancer patients has not been studied. Therefore, the aim of our study was to determine whether the NLR is predictive of short- and long-term mortality in breast cancer patients. Methods Our observational study used an unselected cohort of breast cancer patients treated at the Staten Island University Hospital between January 2004 and December 2006. A total of 316 patients had a differential leukocyte count recorded prior to chemotherapy. Survival status was retrieved from our cancer registry and Social Security death index. Survival analysis, stratified by NLR quartiles, was used to evaluate the predictive value of NLR. Results Patients in the highest NLR quartile (NLR > 3.3) had higher 1-year (16% vs 0%) and 5-year (44% vs 13%) mortality rates compared with those in the lowest quartile (NLR 3.3 remained an independent significant predictor of mortality in both models (hazard ratio 3.13, P = .01) (hazard ratio 4.09, P = .002). Conclusion NLR is an independent predictor of short- and long-term mortality in breast cancer patients with NLR > 3.3. We suggest prospective studies to evaluate the NLR as a simple prognostic test for breast cancer.
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Elevated neutrophil counts are associated with shortened progression-free and overall survival in several cancers including non-small cell lung cancer and breast cancer.
“elevated neutrophil counts are associated with shortened progression-free and overall survival in several cancers including non-small cell lung cancer and breast cancer (21, 22).”
From Blood Cell Origin of Circulating MicroRNAs: A Cautionary Note for Cancer Biomarker Studies (2012) · cites this paper as [21]
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Effector Memory T Cells, Early Metastasis, and Survival in Colorectal Cancer
Pagès, F., Berger, A., Camus, M., Sanchez-Cabo, F., Costes, A., Molidor, R., Mlecnik, B., Kirilovsky, A., Nilsson, M., Damotte, D., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa051424 · Cited by 2,135 · see citing works
Kishida, Y., Kawahara, M., Teramukai, S., Kubota, K., Komuta, K., Minato, K., Mio, T., Fujita, Y., Yonei, T., Nakano, K., et al. (2009) · British Journal of Cancer · doi:10.1038/sj.bjc.6605348 · Cited by 87 · see citing works
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IL-17-producing γδ T cells and neutrophils conspire to promote breast cancer metastasis
Coffelt, S. B., Kersten, K., Doornebal, C. W., Weiden, J., Vrijland, K., Hau, C.-S., Verstegen, N. J. M., Ciampricotti, M., Hawinkels, L. J. A. C., Jonkers, J., et al. (2015) · Nature · doi:10.1038/nature14282 · Cited by 1,703 · see citing works
Blood Cell Origin of Circulating MicroRNAs: A Cautionary Note for Cancer Biomarker Studies
Pritchard, C. C., Kroh, E., Wood, B., Arroyo, J. D., Dougherty, K. J., Miyaji, M. M., Tait, J. F., & Tewari, M. (2012) · Cancer Prevention Research · doi:10.1158/1940-6207.capr-11-0370 · Cited by 879 · see citing works
Valero, C., Lee, M., Hoen, D., Weiss, K., Kelly, D. W., Adusumilli, P. S., Paik, P. K., Plitas, G., Ladanyi, M., Postow, M. A., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-20935-9 · Cited by 441 · see citing works
- Authors
- Azab, B., Bhatt, V. R., Phookan, J., Murukutla, S., Kohn, N., Terjanian, T., & Widmann, W. D.
- Venue
- Annals of Surgical Oncology
- Published
- 2011-06-03
- Volume
- 19
- Issue
- 1
- Pages
- 217-224
- ISSN
- 1068-9265
- 1534-4681
- Cited by
- 447
- References
- 2
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
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