Purpose: To analyze factors that predict the occurrence of chemotherapy-induced myelosuppression and, in particular, the role of the tumor necrosis factor (TNF) ligand-receptor system in lymphoma patients at the beginning of their treatment.
Patients and methods: We investigated the predictive factors for myelosuppression after the first course of chemotherapy in a cohort of 101 consecutive, previously untreated lymphoma patients receiving regimens that include doxorubicin and cyclophosphamide. Plasma samples were tested at baseline by enzyme-linked immunosorbent assay for TNF and its soluble receptors. Univariate and multivariate analyses were performed with a forward regression procedure that included all of the parameters that were found to be significant in the univariate analysis. The dose of chemotherapy and the prophylactic treatment with granulocyte colony-stimulating factor were deliberately included in this model.
Results: Sixty-seven patients experienced World Health Organization (WHO) grade 4 neutropenia, and 37 patients experienced febrile neutropenia, which was responsible for WHO grade 2 through 4 infections in 23 patients. In multiparametric regression analysis, the occurrence of grade 4 neutropenia was associated with high doses of cyclophosphamide (odds ratio ¿OR, 19.8; P =.008) and high levels of soluble p75-R-TNF (OR, 8.52; P =.001). The duration of grade 4 neutropenia for more than 5 days was associated with the lack of hematopoietic growth factor administration (OR, 6.76; P =.004) and high levels of soluble p75-R-TNF (OR, 5.84; P =.0023). The occurrence of febrile neutropenia was associated with high doses of cyclophosphamide (OR, 4.7; P =.007), altered performance status (OR, 18.8; P <.0001) and high levels of soluble p75-R-TNF (OR, 3.49; P =.029).
Conclusion: This study indicates that in addition to the dose of chemotherapy and the administration of hematopoietic growth factors, poor performance status and high p75-R-TNF levels can predict the occurrence of chemotherapy-induced myelosuppression in lymphoma patients. This model may help in selecting patients for prophylactic growth factor administration.