Prognostic value of the soluble interleukin-2 receptor level after patients with follicular lymphoma achieve a response to R-CHOP |
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Authors: | Kento Umino Shin-ichiro Fujiwara Takashi Ikeda Yumiko Toda Shoko Ito Kiyomi Mashima |
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Institution: | Division of Hematology, Department of Medicine, Jichi Medical University, Tochigi, Japan |
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Abstract: | Objectives: Follicular lymphoma (FL) is a clinically and biologically heterogeneous disease. Therefore, it is important to identify factors that can predict its clinical outcome.Methods: We retrospectively evaluated the usefulness of soluble interleukin-2 receptor (sIL-2R) levels after R-CHOP (posttreatment sIL-2R) in 72 patients with newly diagnosed FL who had either a complete response (CR) or partial response. With the use of a recursive partitioning analysis, we determined the cut-off values of post- and pretreatment sIL-2R levels that were associated with disease progression, which corresponded to 486.5 and 5405?U/mL, respectively.Results: The high posttreatment sIL-2R group showed a significantly inferior progression-free survival (PFS) compared to the low posttreatment sIL-2R group in all patients (3-year PFS 52.6% vs. 77.4%, P?=?0.003), and in patients with CR (3-year PFS 57.1% vs. 82.1%, P?=?0.034). Although a multivariate analysis showed that pretreatment sIL-2R, but not posttreatment sIL-2R, was an independently significant predictive factor for disease progression, among patients with low pretreatment sIL-2R levels, those with high posttreatment sIL-2R levels tended to have inferior PFS. There was a significant trend in PFS among the high pretreatment sIL-2R group, the low pre- and high posttreatment sIL-2R group, and the low pre- and low posttreatment sIL-2R group (P?0.001).Conclusion: Among patients with a low pretreatment sIL-2R level who exhibited a positive response to R-CHOP, the posttreatment sIL-2R level may help to identify those with a poor prognosis. |
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Keywords: | Follicular lymphoma soluble interleukin-2 receptor R-CHOP posttreatment pretreatment recursive partitioning analysis rpart prognostic factor |
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