Risk stratification model based on VEGF and International Prognostic Index accurately identifies low-risk diffuse large B-cell lymphoma patients in the rituximab era
Vascular endothelial growth factor affects the invasiveness of solid tumors by regulating angiogenesis. However, it is not clear whether VEGF could be used to predict the prognosis of DLBCL in the era of rituximab-based immunotherapy. We conducted a retrospective study to explore response to therapy...
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Published in | International journal of hematology Vol. 114; no. 2; pp. 189 - 198 |
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Main Authors | , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Singapore
Springer Singapore
01.08.2021
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 0925-5710 1865-3774 1865-3774 |
DOI | 10.1007/s12185-021-03145-3 |
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Abstract | Vascular endothelial growth factor affects the invasiveness of solid tumors by regulating angiogenesis. However, it is not clear whether VEGF could be used to predict the prognosis of DLBCL in the era of rituximab-based immunotherapy. We conducted a retrospective study to explore response to therapy and the prognostic value of VEGF on DLBCL in the rituximab era. The subjects were 65 patients with a histological diagnosis of DLBCL from the Affiliated Hospital of Xuzhou Medical University. Kaplan–Meier analysis was performed to estimate the cumulative survival rate of patients with different VEGF and IPI levels, and comparisons between groups were made using the log-rank test. DLBCL patients with elevated VEGF were more likely to have extranodal involvement, advanced stage, Myc/Bcl-2 double expression, and a higher Ki-67 score. Elevated VEGF was associated with poor therapeutic response and survival. When patients were divided into low, low-intermediate, high-intermediate and high-risk groups using the V-IPI model based on VEGF and IPI, PFS rates were 94.4, 74.1, 40.6 and 14.8%, respectively. This model better identified low-risk patients than IPI (85.9, 88.9, 37 and 7.8%). Our results demonstrate that VEGF predicts therapeutic response in DLBCL and the V-IPI model accurately predicts PFS of low-risk DLBCL in the rituximab era. |
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AbstractList | Vascular endothelial growth factor affects the invasiveness of solid tumors by regulating angiogenesis. However, it is not clear whether VEGF could be used to predict the prognosis of DLBCL in the era of rituximab-based immunotherapy. We conducted a retrospective study to explore response to therapy and the prognostic value of VEGF on DLBCL in the rituximab era. The subjects were 65 patients with a histological diagnosis of DLBCL from the Affiliated Hospital of Xuzhou Medical University. Kaplan–Meier analysis was performed to estimate the cumulative survival rate of patients with different VEGF and IPI levels, and comparisons between groups were made using the log-rank test. DLBCL patients with elevated VEGF were more likely to have extranodal involvement, advanced stage, Myc/Bcl-2 double expression, and a higher Ki-67 score. Elevated VEGF was associated with poor therapeutic response and survival. When patients were divided into low, low-intermediate, high-intermediate and high-risk groups using the V-IPI model based on VEGF and IPI, PFS rates were 94.4, 74.1, 40.6 and 14.8%, respectively. This model better identified low-risk patients than IPI (85.9, 88.9, 37 and 7.8%). Our results demonstrate that VEGF predicts therapeutic response in DLBCL and the V-IPI model accurately predicts PFS of low-risk DLBCL in the rituximab era. Vascular endothelial growth factor affects the invasiveness of solid tumors by regulating angiogenesis. However, it is not clear whether VEGF could be used to predict the prognosis of DLBCL in the era of rituximab-based immunotherapy. We conducted a retrospective study to explore response to therapy and the prognostic value of VEGF on DLBCL in the rituximab era. The subjects were 65 patients with a histological diagnosis of DLBCL from the Affiliated Hospital of Xuzhou Medical University. Kaplan-Meier analysis was performed to estimate the cumulative survival rate of patients with different VEGF and IPI levels, and comparisons between groups were made using the log-rank test. DLBCL patients with elevated VEGF were more likely to have extranodal involvement, advanced stage, Myc/Bcl-2 double expression, and a higher Ki-67 score. Elevated VEGF was associated with poor therapeutic response and survival. When patients were divided into low, low-intermediate, high-intermediate and high-risk groups using the V-IPI model based on VEGF and IPI, PFS rates were 94.4, 74.1, 40.6 and 14.8%, respectively. This model better identified low-risk patients than IPI (85.9, 88.9, 37 and 7.8%). Our results demonstrate that VEGF predicts therapeutic response in DLBCL and the V-IPI model accurately predicts PFS of low-risk DLBCL in the rituximab era.Vascular endothelial growth factor affects the invasiveness of solid tumors by regulating angiogenesis. However, it is not clear whether VEGF could be used to predict the prognosis of DLBCL in the era of rituximab-based immunotherapy. We conducted a retrospective study to explore response to therapy and the prognostic value of VEGF on DLBCL in the rituximab era. The subjects were 65 patients with a histological diagnosis of DLBCL from the Affiliated Hospital of Xuzhou Medical University. Kaplan-Meier analysis was performed to estimate the cumulative survival rate of patients with different VEGF and IPI levels, and comparisons between groups were made using the log-rank test. DLBCL patients with elevated VEGF were more likely to have extranodal involvement, advanced stage, Myc/Bcl-2 double expression, and a higher Ki-67 score. Elevated VEGF was associated with poor therapeutic response and survival. When patients were divided into low, low-intermediate, high-intermediate and high-risk groups using the V-IPI model based on VEGF and IPI, PFS rates were 94.4, 74.1, 40.6 and 14.8%, respectively. This model better identified low-risk patients than IPI (85.9, 88.9, 37 and 7.8%). Our results demonstrate that VEGF predicts therapeutic response in DLBCL and the V-IPI model accurately predicts PFS of low-risk DLBCL in the rituximab era. |
Author | Sun, Cai Ma, Yuhan Yan, Dongmei Nie, Shanlin Bian, Zhenzhen Xu, Linyan Xu, Kailin Tu, Dongyun Sang, Wei Zhou, Hang Qin, Yuanyuan Song, Xuguang Li, Zhenyu Jin, Yingliang Shen, Ziyuan |
Author_xml | – sequence: 1 givenname: Wei surname: Sang fullname: Sang, Wei organization: Department of Hematology, Affiliated Hospital of Xuzhou Medical University – sequence: 2 givenname: Hang surname: Zhou fullname: Zhou, Hang organization: Department of Hematology, Affiliated Hospital of Xuzhou Medical University – sequence: 3 givenname: Yuanyuan surname: Qin fullname: Qin, Yuanyuan organization: Department of Hematology, Affiliated Hospital of Xuzhou Medical University – sequence: 4 givenname: Ziyuan surname: Shen fullname: Shen, Ziyuan organization: Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University – sequence: 5 givenname: Dongmei surname: Yan fullname: Yan, Dongmei organization: Department of Hematology, Affiliated Hospital of Xuzhou Medical University – sequence: 6 givenname: Cai surname: Sun fullname: Sun, Cai organization: Department of Hematology, Affiliated Hospital of Xuzhou Medical University – sequence: 7 givenname: Xuguang surname: Song fullname: Song, Xuguang organization: Department of Hematology, Affiliated Hospital of Xuzhou Medical University – sequence: 8 givenname: Yuhan surname: Ma fullname: Ma, Yuhan organization: Department of Hematology, Affiliated Hospital of Xuzhou Medical University – sequence: 9 givenname: Dongyun surname: Tu fullname: Tu, Dongyun organization: Department of Hematology, Affiliated Hospital of Xuzhou Medical University – sequence: 10 givenname: Zhenzhen surname: Bian fullname: Bian, Zhenzhen organization: Department of Hematology, Affiliated Hospital of Xuzhou Medical University – sequence: 11 givenname: Shanlin surname: Nie fullname: Nie, Shanlin organization: Department of Hematology, Affiliated Hospital of Xuzhou Medical University – sequence: 12 givenname: Yingliang surname: Jin fullname: Jin, Yingliang organization: Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University – sequence: 13 givenname: Linyan surname: Xu fullname: Xu, Linyan organization: Department of Hematology, Affiliated Hospital of Xuzhou Medical University – sequence: 14 givenname: Zhenyu surname: Li fullname: Li, Zhenyu organization: Department of Hematology, Affiliated Hospital of Xuzhou Medical University – sequence: 15 givenname: Kailin surname: Xu fullname: Xu, Kailin email: lihmd@163.com organization: Department of Hematology, Affiliated Hospital of Xuzhou Medical University |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33893987$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_61958_NMSG1394 crossref_primary_10_3390_cancers16223857 crossref_primary_10_3390_cancers14092178 crossref_primary_10_2147_JIR_S340822 crossref_primary_10_1155_2022_2637581 crossref_primary_10_2147_CMAR_S400013 crossref_primary_10_1111_bjh_18196 |
Cites_doi | 10.1210/er.2003-0027 10.1056/NEJMoa1309748 10.1200/JCO.2012.42.0505 10.1097/PAS.0b013e31828b6ad3 10.1186/1746-6148-9-94 10.1080/10428190903156729 10.1200/JCO.2005.09.137 10.1200/JCO.2009.24.1893 10.1111/bjh.14489 10.1182/blood-2012-08-450106 10.1158/1078-0432.CCR-04-0713 10.1200/JCO.2006.09.6305 10.1016/j.canep.2015.05.010 10.1158/2326-6066.CIR-16-0385 10.1186/1756-9966-29-71 10.1056/NEJM199309303291402 10.1200/JCO.2013.54.8800 10.1007/s13277-014-1907-z 10.1007/s00277-009-0777-8 10.1016/j.cell.2019.01.021 10.1182/blood-2013-09-524108 10.1200/JCO.2011.41.0985 10.1056/NEJMoa1103799 10.1182/blood-2012-04-423079 10.2353/ajpath.2007.060901 10.1186/s13018-019-1301-z 10.1182/blood-2011-10-388470 10.1111/bjh.13116 10.1007/s12094-009-0406-y 10.1016/S0140-6736(15)01238-6 10.1126/scitranslmed.aak9679 |
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Keywords | International prognostic index Rituximab Diffuse large B cell lymphoma Prognosis Vascular endothelial growth factor |
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SubjectTerms | Angiogenesis Bcl-2 protein Growth factors Hematology Immunotherapy Invasiveness Lymphocytes B Lymphoma Medical prognosis Medicine Medicine & Public Health Monoclonal antibodies Myc protein Oncology Original Article Patients Rank tests Risk Risk groups Rituximab Solid tumors Survival Targeted cancer therapy Tumors Vascular endothelial growth factor |
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Title | Risk stratification model based on VEGF and International Prognostic Index accurately identifies low-risk diffuse large B-cell lymphoma patients in the rituximab era |
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