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Pénichoux J, Lanic H, Thill C, Ménard AL, Camus V, Stamatoullas A, Lemasle E, Leprêtre S, Lenain P, Contentin N, Kraut-Tauzia J, Fruchart C, Kammoun L, Damaj G, Farge A, Delette C, Modzelewski R, Vaudaux S, Pépin LF, Tilly H, Jardin F. Prognostic relevance of sarcopenia, geriatric, and nutritional assessments in older patients with diffuse large B-cell lymphoma: results of a multicentric prospective cohort study. Ann Hematol 2023; 102:1811-1823. [PMID: 37058153 PMCID: PMC10260702 DOI: 10.1007/s00277-023-05200-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 03/23/2023] [Indexed: 04/15/2023]
Abstract
This prospective study aimed to investigate the prognostic effect of sarcopenia, geriatric, and nutritional status in older patients with diffuse large B-cell lymphoma (DLBCL). Ninety-five patients with DLBCL older than 70 years who were treated with immunochemotherapy were included. The lumbar L3 skeletal muscle index (L3-SMI) was measured by computed tomography at baseline, and sarcopenia was defined as low L3-SMI. Geriatric assessment included G8 score, CIRS-G scale, Timed Up and Go test, and instrumental activity of daily living. Nutritional status was assessed using the Mini Nutritional Assessment and the body mass index, and several scores used in the literature incorporating nutritional and inflammatory biomarkers, namely the Nutritional and inflammatory status (NIS), Geriatric Nutritional Risk Index, Prognostic Nutritional Index, and Glasgow Prognostic Score.Fifty-three patients were considered sarcopenic. Sarcopenic patients displayed higher levels of inflammation markers and lower levels of prealbumin than non-sarcopenic patients. Sarcopenia was associated with NIS, but was not associated with severe adverse events and treatment disruptions. They were, however, more frequent among patients with elevated NIS. Sarcopenia did not appear in this study as a prognostic factor for progression-free survival (PFS) or overall survival (OS). However, NIS emerged as predictive of the outcome with a 2-year PFS rate of 88% in the NIS ≤ 1 group and 49% in the NIS > 1 group and a significant effect in a multivariate analysis for both PFS (p = 0.049) and OS (HR = 9.61, CI 95% = [1.03-89.66], p = 0.04). Sarcopenia was not associated with adverse outcomes, but was related to NIS, which appeared to be an independent prognostic factor.
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Affiliation(s)
- Juliette Pénichoux
- Department of Clinical Hematology, Centre Henri Becquerel, 1 Rue d'Amiens, 76038, Rouen, France.
| | - Hélène Lanic
- Department of Clinical Hematology, Centre Henri Becquerel, 1 Rue d'Amiens, 76038, Rouen, France
| | - Caroline Thill
- Department of Statistics, Rouen University Hospital, Rouen, France
| | - Anne-Lise Ménard
- Department of Clinical Hematology, Centre Henri Becquerel, 1 Rue d'Amiens, 76038, Rouen, France
| | - Vincent Camus
- Department of Clinical Hematology, Centre Henri Becquerel, 1 Rue d'Amiens, 76038, Rouen, France
- INSERM U1245 Unit, Team "Genetic and Biomarkers in Lymphoma and Solid Tumors", Rouen University, Centre Henri Becquerel, Rouen, France
| | - Aspasia Stamatoullas
- Department of Clinical Hematology, Centre Henri Becquerel, 1 Rue d'Amiens, 76038, Rouen, France
- INSERM U1245 Unit, Team "Genetic and Biomarkers in Lymphoma and Solid Tumors", Rouen University, Centre Henri Becquerel, Rouen, France
| | - Emilie Lemasle
- Department of Clinical Hematology, Centre Henri Becquerel, 1 Rue d'Amiens, 76038, Rouen, France
| | - Stéphane Leprêtre
- Department of Clinical Hematology, Centre Henri Becquerel, 1 Rue d'Amiens, 76038, Rouen, France
| | - Pascal Lenain
- Department of Clinical Hematology, Centre Henri Becquerel, 1 Rue d'Amiens, 76038, Rouen, France
| | - Nathalie Contentin
- Department of Clinical Hematology, Centre Henri Becquerel, 1 Rue d'Amiens, 76038, Rouen, France
| | | | | | - Leila Kammoun
- Department of Oncology-Hematology, Eure-Seine Hospital Center, Evreux, France
| | - Gandhi Damaj
- Institute of Hematology, Caen University Hospital, Caen, France
| | - Agathe Farge
- Institute of Hematology, Caen University Hospital, Caen, France
| | - Caroline Delette
- Department of Clinical Hematology, Amiens University Hospital, Amiens, France
| | | | - Sandrine Vaudaux
- Clinical Research Unit, Henri Becquerel Cancer Center, Rouen, France
| | | | - Hervé Tilly
- Department of Clinical Hematology, Centre Henri Becquerel, 1 Rue d'Amiens, 76038, Rouen, France
- INSERM U1245 Unit, Team "Genetic and Biomarkers in Lymphoma and Solid Tumors", Rouen University, Centre Henri Becquerel, Rouen, France
| | - Fabrice Jardin
- Department of Clinical Hematology, Centre Henri Becquerel, 1 Rue d'Amiens, 76038, Rouen, France
- INSERM U1245 Unit, Team "Genetic and Biomarkers in Lymphoma and Solid Tumors", Rouen University, Centre Henri Becquerel, Rouen, France
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2
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Ma S, Zhang B, Lu T, Li D, Li T, Shen Z, He C, Wang Y, Li B, Zhang H, Gu W, Wang C, Ye J, Zhu T, Miao Y, Wang L, Huang S, Liu Q, Sang W. Value of the prognostic nutritional index (PNI) in patients with newly diagnosed, CD5-positive diffuse large B-cell lymphoma: A multicenter retrospective study of the Huaihai Lymphoma Working Group. Cancer 2022; 128:3487-3494. [PMID: 35932292 DOI: 10.1002/cncr.34405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/15/2022] [Accepted: 05/28/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND CD5-positive diffuse large B-cell lymphoma (DLBCL) is a clinically rare subtype of DLBCL with aggressive clinical manifestations and a poor prognosis. It has been demonstrated that the prognostic nutritional index (PNI), an indicator of nutritional status and systemic inflammation, is a significant prognostic factor for several types of lymphoma. The objective of this multicenter retrospective study was to explore the prognostic value of the PNI in patients with CD5-positive DLBCL. METHODS In total, 207 patients with CD5-positive DLBCL were recruited from 11 centers of the Huaihai Lymphoma Working Group. Maximally selected rank statistics analysis was used to identify optimal cutoff points for the PNI. A Cox proportional hazards model was used for univariable and multivariable analyses. Kaplan-Meier curves were used to calculate survival rates and draw survival curves, and the log-rank test was used to compare differences between groups. RESULTS The median age at diagnosis was 61 years, and the 5-year overall survival rate was 47.5%. According to the maximally selected rank statistics analysis, a score of 49.7 was the optimal cutoff point for the PNI. Subgroup analysis showed that the PNI could re-stratify patients in BCL-2-negative, MYC-negative, high-intermediate-risk and high-risk International Prognostic Index, BCL-6-positive and BCL-6-negative, high Ki-67 score (≥0.9), Ann Arbor stage III/IV, Eastern Cooperative Oncology Group performance status ≥2, and germinal center B subgroups. Multivariable analysis revealed that PNI, age, Eastern Cooperative Oncology Group performance status, albumin level, and red blood cell count were independent prognostic factors for CD5-positive DLBCL. CONCLUSIONS The PNI was a significant prognostic indicator for CD5-positive DLBCL and was able to re-stratify the prognosis for clinicopathologic subgroups of patients with CD5-positive DLBCL.
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Affiliation(s)
- Sha Ma
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Bingpei Zhang
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Tianyi Lu
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Dashan Li
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Tianci Li
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ziyuan Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Chenlu He
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ying Wang
- Department of Personnel, Suqian First Hospital, Suqian, Jiangsu, China
| | - Bingzong Li
- Department of Hematology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Hao Zhang
- Department of Hematology, The Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Weiying Gu
- Department of Hematology, The First People's Hospital of Changzhou, Changzhou, Jiangsu, China
| | - Chunling Wang
- Department of Hematology, Huai'an First People's Hospital, Huai'an Jiangsu, China
| | - Jingjing Ye
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Taigang Zhu
- Department of Hematology, The General Hospital of Wanbei Coal-Electric Group, Suzhou, Anhui, China
| | - Yuqing Miao
- Department of Hematology, Yancheng First People's Hospital, Yancheng, Jiangsu, China
| | - Ling Wang
- Department of Hematology, Taian Central Hospital, Taian, Shandong, China
| | - Shuiping Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China.,Center for Medical Statistics and Data Analysis, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Qinhua Liu
- Department of Hematology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Wei Sang
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
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OZTURK E, ELIBOL T, KILICASLAN E, KABAYUKA B, ERDOGAN OZUNAL I. Prognostic Nutritional Index Predicts Early Mortality in Diffuse Large B-cell Lymphoma. Medeni Med J 2022; 37:85-91. [PMID: 35306794 PMCID: PMC8939454 DOI: 10.4274/mmj.galenos.2022.87422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Objective: Methods: Results: Conclusions:
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Mozas P, Rivero A, Rivas-Delgado A, Nadeu F, Giné E, Delgado J, Villamor N, Campo E, Pérez-Galán P, Magnano L, López-Guillermo A. The Prognostic Nutritional Index (PNI) is an independent predictor of overall survival in older patients with follicular lymphoma. Leuk Lymphoma 2021; 63:903-910. [PMID: 34844497 DOI: 10.1080/10428194.2021.2010064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
The Prognostic Nutritional Index (PNI), a parameter combining serum albumin concentration and absolute lymphocyte count, is considered a measure of the nutritional and inflammatory status and the host's anti-tumor response. We analyzed the clinical characteristics and outcomes according to the PNI of 351 grades 1-3 A FL patients. Forty-one patients (12%) had a PNI ≤45, who were older and showed adverse baseline features. A low PNI was associated with a shorter PFS (only for patients >60 years), and OS (for all patients, 10-year OS, 52% versus 74%, p = 0.0001). The prognostic impact of the PNI on OS was confirmed in a multivariate model for patients >60 years (HR = 3, p = 0.006). In conclusion, the PNI is a readily accessible piece of information that can identify a small subset of FL patients with shorter survival, and it could be an aid to improve the nutritional status of patients prior to treatment initiation.
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Affiliation(s)
- Pablo Mozas
- Department of Hematology, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Andrea Rivero
- Department of Hematology, Hospital Clínic de Barcelona, Barcelona, Spain
| | | | - Ferran Nadeu
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Eva Giné
- Department of Hematology, Hospital Clínic de Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Julio Delgado
- Department of Hematology, Hospital Clínic de Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Neus Villamor
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.,Hematopathology Unit, Department of Pathology, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Elías Campo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.,Hematopathology Unit, Department of Pathology, Hospital Clínic de Barcelona, Barcelona, Spain.,Universitat de Barcelona, Barcelona, Spain
| | - Patricia Pérez-Galán
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Laura Magnano
- Department of Hematology, Hospital Clínic de Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Armando López-Guillermo
- Department of Hematology, Hospital Clínic de Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.,Universitat de Barcelona, Barcelona, Spain
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5
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Shen Z, Wang F, He C, Li D, Nie S, Bian Z, Yao M, Xue Y, Wang Y, Gu W, Zhu T, Shi Y, Zhang H, Huang S, Miao Y, Sang W. The Value of Prognostic Nutritional Index (PNI) on Newly Diagnosed Diffuse Large B-Cell Lymphoma Patients: A Multicenter Retrospective Study of HHLWG Based on Propensity Score Matched Analysis. J Inflamm Res 2021; 14:5513-5522. [PMID: 34737600 PMCID: PMC8558829 DOI: 10.2147/jir.s340822] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 10/14/2021] [Indexed: 12/18/2022] Open
Abstract
Introduction Immunonutritional status is associated with the survival of DLBCL. This multicenter retrospective study aimed to explore the prognostic value of Prognostic Nutrition Index (PNI) in DLBCL patients by using propensity score matched analysis (PSM). Methods A total of 990 DLBCL cases were recruited from 5 centers of Huaihai Lymphoma Working Group (HHLWG). A 1:1 PSM analysis was performed using the nearest-neighbor method, with a caliper size of 0.02. Cox regression analysis was used to examine factors associated with survival. Results The median age at diagnosis was 62 years and 52.5% were males, with the 3-y overall survival of 65.1%. According to the MaxStat analysis, 44 was the optimal cut-off point of PNI. After PSM analysis, a total of 282 patients in PNI < 44 group could be propensity matched to PNI ≥ 44 patients, creating a group of 564 patients. Multivariable analysis revealed that PNI, age, central nervous system involvement and International Prognostic Index (IPI) were independent prognostic factors for DLBCL. Kaplan–Meier analysis indicated that patients with low PNI in Ann Arbor Stage (III/VI), ECOG (<2), IPI (LR+LIR), GCB, and BCL-2 negative groups had a poor prognosis. Discussion PNI could accurately stratify the prognosis of DLBCL after PSM analysis.
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Affiliation(s)
- Ziyuan Shen
- Department of Epidemiology and Biostatistics, Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China
| | - Fei Wang
- Department of Hematology, The First People's Hospital of Changzhou, Changzhou, Jiangsu, People's Republic of China
| | - Chenlu He
- Department of Epidemiology and Biostatistics, Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China
| | - Dashan Li
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China
| | - Shanlin Nie
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China
| | - Zhenzhen Bian
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China
| | - Mingkang Yao
- Department of Hematology, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China
| | - Yuhao Xue
- Department of Hematology, The First People's Hospital of Huaian, Huaian, Jiangsu, People's Republic of China
| | - Ying Wang
- Department of Personnel, Suqian First Hospital, Suqian, Jiangsu, People's Republic of China
| | - Weiying Gu
- Department of Hematology, The First People's Hospital of Changzhou, Changzhou, Jiangsu, People's Republic of China
| | - Taigang Zhu
- Department of Hematology, The General Hospital of Wanbei Coal-Electric Group, Suzhou, People's Republic of China
| | - Yuye Shi
- Department of Hematology, The First People's Hospital of Huaian, Huaian, Jiangsu, People's Republic of China
| | - Hao Zhang
- Department of Hematology, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China
| | - Shuiping Huang
- Department of Epidemiology and Biostatistics, Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China.,Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China
| | - Yuqing Miao
- Department of Hematology, Yancheng First People's Hospital, Yancheng, Jiangsu, People's Republic of China
| | - Wei Sang
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China
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Prognostic nutritional index, a novel biomarker which predicts worse prognosis in diffuse large B cell lymphoma. Leuk Res 2021; 110:106664. [PMID: 34271293 DOI: 10.1016/j.leukres.2021.106664] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 06/13/2021] [Accepted: 07/05/2021] [Indexed: 11/21/2022]
Abstract
The prognostic nutritional index (PNI), an indicator of nutritional status and systemic inflammation, is associated with survival in several types of lymphoma. The purpose of this study was to investigate the prognostic value of PNI in diffuse large B cell lymphoma (DLBCL). With three hundred and ten patients were enrolled, the median level of PNI was 45.90 (range 25.30-139.70). According to the receiver operating characteristic (ROC) curve, 44.85 was determined to be the best cutoff value to divide patients into two different groups. With a median follow-up of 33.3 months (range 3.5-118.5), compared with the high PNI group, the 3-year and adjusted 3-year progression-free survival (PFS) and overall survival (OS) were worse in the low PNI group (all P < 0.050). Multivariate Cox analysis suggested that low PNI was an independent risk factor for PFS (hazard ratio (HR) 2.196, 95 % CI 1.197-4.030, P = 0.011) and showed a tendency to predict inferior OS (HR 1.918, 95 % CI 0.932-3.948, P = 0.077). Furthermore, PNI combined with other significant prognostic factors to build a novel prognostic index, namely NPI, was more accurate than the National Comprehensive Cancer Network international prognostic index (NCCN-IPI) to predict worse PFS and had a similar effect on predicting OS. All these findings suggested that PNI, as a novel available biomarker, was of prognostic significance in DLBCL patients.
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7
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Ge K, Fang C, Zhu D, Yan H, Wang Q, Chen W, Wu J. The Prognostic Value of the Prognostic Nutritional Index (PNI) in Radically Resected Esophagogastric Junction Adenocarcinoma. Nutr Cancer 2020; 73:2589-2596. [PMID: 33135475 DOI: 10.1080/01635581.2020.1841252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
To determine the influence of preoperative prognostic nutritional index in adenocarcinoma of the esophagogastric junction, this study was conducted to analyze 420 patients with adenocarcinoma of the esophagogastric junction who underwent surgery. A total of 120 healthy volunteers were included as the healthy control group. The cutoff values of prognostic nutritional index for predicting survival were obtained according to the receiver operating characteristic curve. The clinic-pathological feature and survival were compared between low and high prognostic nutritional index group. Results showed that the prognostic nutritional index in the patient group was lower than that in the healthy control group (P < 0.05). The level of prognostic nutritional index was significantly associated with tumor differentiation, Siewert type, tumor size, body mass index, and hemoglobin levels (P < 0.05). The level of prognostic nutritional index was negatively correlated with age of onset, tumor differentiation, Siewert type, tumor size, depth of tumor, but positively associated with the levels of body mass index and hemoglobin. Multivariate analysis revealed that prognostic nutritional index was an independent factor associated with disease-free survival (P = 0.027) and overall survival (P = 0.003). In conclusion, low prognostic nutritional index may be considered as an independent adverse prognostic marker in patients with adenocarcinoma of the esophagogastric junction.
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Affiliation(s)
- Kele Ge
- Departments of Oncology, the Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Cheng Fang
- Departments of Oncology, the Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Danxia Zhu
- Departments of Oncology, the Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Haijiao Yan
- Departments of Oncology, the Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Qi Wang
- Departments of Oncology, the Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Wenyu Chen
- Departments of Oncology, the Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Jun Wu
- Departments of Oncology, the Third Affiliated Hospital of Soochow University, Changzhou, China
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8
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Luan C, Wang F, Wei N, Chen B. Prognostic nutritional index and the prognosis of diffuse large b-cell lymphoma: a meta-analysis. Cancer Cell Int 2020; 20:455. [PMID: 32973400 PMCID: PMC7493866 DOI: 10.1186/s12935-020-01535-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 09/01/2020] [Indexed: 12/13/2022] Open
Abstract
Background Some studies have investigated the prognostic value exhibited by the Prognostic Nutritional Index (PNI) in patients suffering diffuse large B-cell lymphoma (DLBCL), but varying results were obtained. In order to determine the specific prognostic value more accurately, a meta-analysis was conducted in this study. Methods Literatures were searched from the China National Knowledge Infrastructure (CNKI), Wanfang, PubMed, Embase, the Cochrane Library, and Web of Science. Pooled hazard ratio (HR) and the 95% confidence interval (CI) were calculated to assess the association between PNI and the overall survival (OS) and the progression-free survival (PFS) of patients with DLBCL. Results Based on seven studies with a total number of 1311 patients, our meta-analysis revealed that low PNI may meant poor OS (HR = 2.14, 95% CI 1.66-2.75, p < 0.001) and poor PFS (HR = 1.75, 95% CI 1.36-2.25, p = 0.438). Subgroup analysis showed that, in Asians, low PNI was correlated to poor OS (pooled HR = 2.06 95% CI 1.59-2.66) and poor PFS (pooled HR = 1.66, 95% CI 1.28-2.15). Similar results were obtained from one European study, which is the only study performed outside of Asia from our literature search. Conclusion For patients with DLBCL, low PNI may be interpreted as adverse prognosis. More data from European patients are required in this study to avoid analysis bias.
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Affiliation(s)
- Chunyan Luan
- Medical School of Southeast University, Nanjing, 210009 China.,Department of Hematology and Oncology (Key Department of Jiangsu Medicine), Southeast University Affiliated Zhongda Hospital, No. 87 Dingjiaqiao, Nanjing, 210009 China
| | - Fei Wang
- Department of Hematology and Oncology (Key Department of Jiangsu Medicine), Southeast University Affiliated Zhongda Hospital, No. 87 Dingjiaqiao, Nanjing, 210009 China
| | - Ning Wei
- Medical School of Southeast University, Nanjing, 210009 China.,Department of Gastroenterology, Southeast University Affiliated Zhongda Hospital, Nanjing, 210009 China
| | - Baoan Chen
- Department of Hematology and Oncology (Key Department of Jiangsu Medicine), Southeast University Affiliated Zhongda Hospital, No. 87 Dingjiaqiao, Nanjing, 210009 China
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Nagata A, Kanemasa Y, Sasaki Y, Nakamura S, Okuya T, Funasaka C, Kageyama A, Shimoyama T, Omuro Y. Clinical impact of controlling nutritional status score on the prognosis of patients with diffuse large B-cell lymphoma. Hematol Oncol 2020; 38:309-317. [PMID: 32223021 DOI: 10.1002/hon.2732] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 02/26/2020] [Accepted: 03/18/2020] [Indexed: 12/19/2022]
Abstract
The controlling nutritional status (CONUT) score is a nutritional index calculated from serum albumin and total cholesterol levels and lymphocyte counts. Its role in predicting clinical outcomes of diffuse large B-cell lymphoma (DLBCL) has not been evaluated. In this retrospective study, data from 476 patients with DLBCL were analyzed. The cutoff value of the CONUT score was set as 4. CONUT score significantly stratified the overall survival (OS) and the progression-free-survival (PFS) (5-year OS, 49.0% vs 83.2%, P < .001; 5-year PFS, 46.1% vs 73.1%, P < .001) of the patients. Among patients at high-intermediate or high risk, as per the National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI), 5-year OS was lower in patients with high CONUT scores than in those with low CONUT scores (high-intermediate risk, 51.2% vs 75.5%, P < .001; high risk, 29.9% vs 63.3%, P = .007). Additionally, in patients with high CONUT scores, maintenance of relative dose intensity (RDI) of chemotherapy did not affect the 5-year OS (RDI > 80% vs RDI ≤ 80%: 59.8% vs 50.9%, P = .73). In the present study, we have demonstrated that the CONUT score is an independent prognostic factor in patients with DLBCL.
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Affiliation(s)
- Akihito Nagata
- Department of Medical Oncology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.,Hematology Division, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan
| | - Yusuke Kanemasa
- Department of Medical Oncology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan
| | - Yuki Sasaki
- Department of Clinical Research support, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan
| | - Shohei Nakamura
- Department of Medical Oncology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan
| | - Toshihiro Okuya
- Department of Medical Oncology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan
| | - Chikako Funasaka
- Department of Medical Oncology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan
| | - Akihiko Kageyama
- Department of Medical Oncology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan
| | - Tatsu Shimoyama
- Department of Medical Oncology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan
| | - Yasushi Omuro
- Department of Medical Oncology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan
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