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Bru Espino, Antonio and Bosch, R. and Céspedes, M. V. and Carmona-Güedes, S. and Pascual, E. and Brú, I. and Souto, J. C. (2019) Antitumoral effect of maintained neutrophilia induced by rhG-CSF in a murine model of pancreatic cancer. Scientific Reports, 9 (1). ISSN 2045-2322
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Official URL: https://doi.org/10.1038/s41598-019-39805-y
Abstract
Although the protumoral functions of polymorphonuclear neutrophils are well known, some now-forgotten studies report antitumoral roles for these cells. The present work examines the antitumoral effect of maintained neutrophilia induced via the injection of recombinant human granulocyte colony stimulating factor (rhG-CSF, 100 μg/kg/day) in a Panc-1 subcutaneous xenograft murine model of pancreatic cancer. This treatment was compared with gemcitabine administration (120 mg/kg every two days) and a saline control (n = 6–7 mice per group). Compared to the controls, both the rhG-CSF- and gemcitabine-treated mice showed significantly suppressed tumor growth by day 4 (p < 0.001 and p = 0.013 respectively). From a mean starting volume of 106.9 ± 3.1 mm3 for all treatment groups, the final mean tumor volumes reached were 282.0 ± 30.7 mm3 for the rhG-CSF-treated mice, 202.6 ± 18.1 mm3 for the gemcitabine-treated mice and 519.4 ± 62.9 mm3 for the control mice (p < 0.004 and p < 0.01, respectively, vs. control). The rhG-CSF-treated tumors showed higher percentage necrosis than those treated with gemcitabine (37.4 ± 4.6 vs. 7.5 ± 3.0; p < 0.001). This is the first report of a clear anti-tumoral effect of rhG-CSF when used in monotherapy against pancreatic cancer. Since rhG-CSF administration is known to be associated with very few adverse events, it may offer an attractive alternative in the clinical treatment of pancreatic cancer.
Item Type: | Article |
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Uncontrolled Keywords: | Matemáticas aplicadas, Inmunología tumoral |
Palabras clave (otros idiomas): | Applied mathematics, Tumour immunology |
Subjects: | Sciences > Mathematics Medical sciences > Medicine > Immunology Medical sciences > Medicine > Oncology |
ID Code: | 51719 |
Deposited On: | 04 Mar 2019 13:20 |
Last Modified: | 04 Mar 2019 13:28 |
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