Jun Ho Yi1, Sang Eun Yoon2, Kyung Ju Ryu3, Young Hyeh Ko4, Won Seog Kim2, Seok Jin Kim5. 1. Division of Hematology-Oncology, Department of Medicine, Chung-Ang University, Seoul, Republic of Korea. 2. Division of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. 3. Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea. 4. Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. 5. Division of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea; Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea. Electronic address: kstwoh@skku.edu.
Abstract
BACKGROUND: As diffuse large B-cell lymphoma (DLBCL) is a very heterogeneous group of lymphomas, much effort has gone in trying to identify patients with increased risk for early death or secondary central nervous system (CNS) involvement. To better predict their outcomes, we measured the levels of various cytokines in serum samples of patients with DLBCL and analyzed their clinical outcomes. METHODS: We measured the levels of seven serum cytokines at diagnosis in 313 DLBCL patients who were treated with R-CHOP. Their impact on clinical outcomes, including time to secondary CNS involvement and the 3-year overall survival (OS) rate, were analyzed. RESULTS: The median age was 56 years (range, 16-86 years), and 177 patients (57%) were men. Secondary CNS involvement was found in 5.4% (16/294) cases, and time to secondary CNS involvement was significantly short in patients with elevated interleukin (IL)-10 (p = 0.012). With the 3-year OS rate of the whole cohort being 73.6%, serum levels of several cytokines, such as CCL3 > 4.0 pg/mL (54.3% vs. 76.1%, p = 0.001), CCL5 > 450 pg/mL (57.0% vs. 78.1%, p < 0.001), any expression of IL-6 (59.3% vs. 76.6%, p = 0.001), and any expression of IL-10 (68.2% vs. 84.5%, p = 0.001), showed prognostic impact. Higher expressions of these cytokines were associated with worse manifestations of clinical prognostic factors. CONCLUSIONS: Our study revealed that some cytokines impact OS and secondary CNS involvement. Future studies are required to elucidate how these findings can be incorporated to the conventional prognostic factors for more tailored approaches.
BACKGROUND: As diffuse large B-cell lymphoma (DLBCL) is a very heterogeneous group of lymphomas, much effort has gone in trying to identify patients with increased risk for early death or secondary central nervous system (CNS) involvement. To better predict their outcomes, we measured the levels of various cytokines in serum samples of patients with DLBCL and analyzed their clinical outcomes. METHODS: We measured the levels of seven serum cytokines at diagnosis in 313 DLBCL patients who were treated with R-CHOP. Their impact on clinical outcomes, including time to secondary CNS involvement and the 3-year overall survival (OS) rate, were analyzed. RESULTS: The median age was 56 years (range, 16-86 years), and 177 patients (57%) were men. Secondary CNS involvement was found in 5.4% (16/294) cases, and time to secondary CNS involvement was significantly short in patients with elevated interleukin (IL)-10 (p = 0.012). With the 3-year OS rate of the whole cohort being 73.6%, serum levels of several cytokines, such as CCL3 > 4.0 pg/mL (54.3% vs. 76.1%, p = 0.001), CCL5 > 450 pg/mL (57.0% vs. 78.1%, p < 0.001), any expression of IL-6 (59.3% vs. 76.6%, p = 0.001), and any expression of IL-10 (68.2% vs. 84.5%, p = 0.001), showed prognostic impact. Higher expressions of these cytokines were associated with worse manifestations of clinical prognostic factors. CONCLUSIONS: Our study revealed that some cytokines impact OS and secondary CNS involvement. Future studies are required to elucidate how these findings can be incorporated to the conventional prognostic factors for more tailored approaches.