BACKGROUND: In the present study, we investigated the plasma levels of M-CSF and commonly accepted tumor marker (antigen CA 15-3) in breast cancer patients in relation to the group with benign breast tumor and to the healthy controls. Additionally, we compared the plasma level of M-CSF with the tumor stage of breast cancer and defined the diagnostic criteria: sensitivity, specificity, the positive and the negative predictive values. Moreover, we defined the receiver-operating characteristics (ROC) curve for M-CSF and CA 15-3, and correlation between both parameters. METHODS: M-CSF and CA 15-3 were measured in 80 patients with breast cancer, 17 patients with benign breast tumor and in 30 healthy subjects. M-CSF was determined using enzyme-linked immunosorbent assay (ELISA). CA 15-3 was measured using a microparticle enzyme immunoassay kit (MEIA). RESULTS: There were statistically significant differences in the levels of circulating M-CSF and CA 15-3 in the breast cancer patients comparing to the group with benign breast tumor and to the control group. The levels of M-CSF and CA 15-3 were also significantly higher in patients with more advanced tumor stage. Statistically significant positive correlation was observed between the M-CSF and CA 15-3 levels. The M-CSF and CA 15-3 diagnostic specificities were 95%. The diagnostic sensitivity (59%), the positive predictive value (97%) and the negative predictive value (41%) were higher for M-CSF than for CA 15-3 (48.8%, 95% and 40.1%, respectively). The combined use of both cytokines resulted in the increase of the sensitivity to the range of 70%. We observed a higher range of the diagnostic sensitivity of M-CSF in more advanced breast tumor stage. The M-CSF area under the ROC curve was larger (0.801) than the ROC area of CA 15-3 (0.785). CONCLUSIONS: These results suggest that M-CSF is the good candidate for a breast cancer tumor marker.
BACKGROUND: In the present study, we investigated the plasma levels of M-CSF and commonly accepted tumor marker (antigen CA 15-3) in breast cancerpatients in relation to the group with benign breast tumor and to the healthy controls. Additionally, we compared the plasma level of M-CSF with the tumor stage of breast cancer and defined the diagnostic criteria: sensitivity, specificity, the positive and the negative predictive values. Moreover, we defined the receiver-operating characteristics (ROC) curve for M-CSF and CA 15-3, and correlation between both parameters. METHODS:M-CSF and CA 15-3 were measured in 80 patients with breast cancer, 17 patients with benign breast tumor and in 30 healthy subjects. M-CSF was determined using enzyme-linked immunosorbent assay (ELISA). CA 15-3 was measured using a microparticle enzyme immunoassay kit (MEIA). RESULTS: There were statistically significant differences in the levels of circulating M-CSF and CA 15-3 in the breast cancerpatients comparing to the group with benign breast tumor and to the control group. The levels of M-CSF and CA 15-3 were also significantly higher in patients with more advanced tumor stage. Statistically significant positive correlation was observed between the M-CSF and CA 15-3 levels. The M-CSF and CA 15-3 diagnostic specificities were 95%. The diagnostic sensitivity (59%), the positive predictive value (97%) and the negative predictive value (41%) were higher for M-CSF than for CA 15-3 (48.8%, 95% and 40.1%, respectively). The combined use of both cytokines resulted in the increase of the sensitivity to the range of 70%. We observed a higher range of the diagnostic sensitivity of M-CSF in more advanced breast tumor stage. The M-CSF area under the ROC curve was larger (0.801) than the ROC area of CA 15-3 (0.785). CONCLUSIONS: These results suggest that M-CSF is the good candidate for a breast cancer tumor marker.
Authors: Martin Donach; Yinhua Yu; Grazia Artioli; Giuseppe Banna; Weiwei Feng; Robert C Bast; Zhen Zhang; Maria O Nicoletto Journal: Tumour Biol Date: 2010-06
Authors: Rulla M Tamimi; Joan S Brugge; Matthew L Freedman; Alexander Miron; J Dirk Iglehart; Graham A Colditz; Susan E Hankinson Journal: Cancer Res Date: 2008-01-01 Impact factor: 12.701
Authors: Melissa Hunter; Yijie Wang; Tim Eubank; Christopher Baran; Patrick Nana-Sinkam; Clay Marsh Journal: Front Biosci (Landmark Ed) Date: 2009-01-01