Are the Derived Indexes of Peripheral Whole Blood Cell Counts (NLR, PLR, LMR/MLR) Clinically Significant Prognostic Biomarkers in Multiple Myeloma? A Systematic Review And Meta-Analysis
Multiple myeloma (MM) is an incurable malignant plasma cell tumor. Whole blood cell count (WBCC) derived indexes are widely used as a predictive biomarker for various types of solid and hematological malignant tumors. Our study is to evaluate its effectiveness in MM by meta-analysis. Relevant litera...
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Published in | Frontiers in oncology Vol. 11; p. 766672 |
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Abstract | Multiple myeloma (MM) is an incurable malignant plasma cell tumor. Whole blood cell count (WBCC) derived indexes are widely used as a predictive biomarker for various types of solid and hematological malignant tumors. Our study is to evaluate its effectiveness in MM by meta-analysis.
Relevant literatures were retrieved from PubMed, Embase and Web of Science databases according to PRISMA guideline. All relevant parameters were extracted and combined for statistical analysis.
Nineteen studies incorporating 3818 MM patients were eventually included in this meta-analysis. 13 studies evaluated that elevated NLR was significantly associated with poor survival outcomes (OS: HR=2.04,
<0.001; PFS: HR=1.96,
=0.003). Elevated NLR was revealed to correlate with ISS stage (ISS III VS I-II, OR=2.23,
=0.003). A total of 7 studies have shown that elevated LMR predicts a better prognosis in MM patients (OS: HR=0.57,
<0.001; PFS: HR=0.49,
<0.05), and two other studies demonstrated that increased MLR was related to poor OS/PFS (OS: HR=1.58,
<0.05; PFS: HR=1.60,
<0.05). However, in the other 6 studies including 1560 patients, the prognostic value of PLR had not been confirmed (OS: HR=0.89,
>0.05; PFS: HR=0.87,
>0.05).
The indexes NLR and LMR/MLR derived from WBCC were validated to be useful biomarkers to predict the prognosis in MM patients, but the evidence of PLR was insufficient. |
---|---|
AbstractList | BackgroundMultiple myeloma (MM) is an incurable malignant plasma cell tumor. Whole blood cell count (WBCC) derived indexes are widely used as a predictive biomarker for various types of solid and hematological malignant tumors. Our study is to evaluate its effectiveness in MM by meta-analysis.MethodsRelevant literatures were retrieved from PubMed, Embase and Web of Science databases according to PRISMA guideline. All relevant parameters were extracted and combined for statistical analysis.ResultsNineteen studies incorporating 3818 MM patients were eventually included in this meta-analysis. 13 studies evaluated that elevated NLR was significantly associated with poor survival outcomes (OS: HR=2.04, P<0.001; PFS: HR=1.96, P=0.003). Elevated NLR was revealed to correlate with ISS stage (ISS III VS I-II, OR=2.23, P=0.003). A total of 7 studies have shown that elevated LMR predicts a better prognosis in MM patients (OS: HR=0.57, P<0.001; PFS: HR=0.49, P<0.05), and two other studies demonstrated that increased MLR was related to poor OS/PFS (OS: HR=1.58, P<0.05; PFS: HR=1.60, P<0.05). However, in the other 6 studies including 1560 patients, the prognostic value of PLR had not been confirmed (OS: HR=0.89, P>0.05; PFS: HR=0.87, P>0.05).ConclusionsThe indexes NLR and LMR/MLR derived from WBCC were validated to be useful biomarkers to predict the prognosis in MM patients, but the evidence of PLR was insufficient. Background Multiple myeloma (MM) is an incurable malignant plasma cell tumor. Whole blood cell count (WBCC) derived indexes are widely used as a predictive biomarker for various types of solid and hematological malignant tumors. Our study is to evaluate its effectiveness in MM by meta-analysis. Methods Relevant literatures were retrieved from PubMed, Embase and Web of Science databases according to PRISMA guideline. All relevant parameters were extracted and combined for statistical analysis. Results Nineteen studies incorporating 3818 MM patients were eventually included in this meta-analysis. 13 studies evaluated that elevated NLR was significantly associated with poor survival outcomes (OS: HR=2.04, P <0.001; PFS: HR=1.96, P =0.003). Elevated NLR was revealed to correlate with ISS stage (ISS III VS I-II, OR=2.23, P =0.003). A total of 7 studies have shown that elevated LMR predicts a better prognosis in MM patients (OS: HR=0.57, P <0.001; PFS: HR=0.49, P <0.05), and two other studies demonstrated that increased MLR was related to poor OS/PFS (OS: HR=1.58, P <0.05; PFS: HR=1.60, P <0.05). However, in the other 6 studies including 1560 patients, the prognostic value of PLR had not been confirmed (OS: HR=0.89, P >0.05; PFS: HR=0.87, P >0.05). Conclusions The indexes NLR and LMR/MLR derived from WBCC were validated to be useful biomarkers to predict the prognosis in MM patients, but the evidence of PLR was insufficient. BACKGROUNDMultiple myeloma (MM) is an incurable malignant plasma cell tumor. Whole blood cell count (WBCC) derived indexes are widely used as a predictive biomarker for various types of solid and hematological malignant tumors. Our study is to evaluate its effectiveness in MM by meta-analysis. METHODSRelevant literatures were retrieved from PubMed, Embase and Web of Science databases according to PRISMA guideline. All relevant parameters were extracted and combined for statistical analysis. RESULTSNineteen studies incorporating 3818 MM patients were eventually included in this meta-analysis. 13 studies evaluated that elevated NLR was significantly associated with poor survival outcomes (OS: HR=2.04, P<0.001; PFS: HR=1.96, P=0.003). Elevated NLR was revealed to correlate with ISS stage (ISS III VS I-II, OR=2.23, P=0.003). A total of 7 studies have shown that elevated LMR predicts a better prognosis in MM patients (OS: HR=0.57, P<0.001; PFS: HR=0.49, P<0.05), and two other studies demonstrated that increased MLR was related to poor OS/PFS (OS: HR=1.58, P<0.05; PFS: HR=1.60, P<0.05). However, in the other 6 studies including 1560 patients, the prognostic value of PLR had not been confirmed (OS: HR=0.89, P>0.05; PFS: HR=0.87, P>0.05). CONCLUSIONSThe indexes NLR and LMR/MLR derived from WBCC were validated to be useful biomarkers to predict the prognosis in MM patients, but the evidence of PLR was insufficient. Multiple myeloma (MM) is an incurable malignant plasma cell tumor. Whole blood cell count (WBCC) derived indexes are widely used as a predictive biomarker for various types of solid and hematological malignant tumors. Our study is to evaluate its effectiveness in MM by meta-analysis. Relevant literatures were retrieved from PubMed, Embase and Web of Science databases according to PRISMA guideline. All relevant parameters were extracted and combined for statistical analysis. Nineteen studies incorporating 3818 MM patients were eventually included in this meta-analysis. 13 studies evaluated that elevated NLR was significantly associated with poor survival outcomes (OS: HR=2.04, <0.001; PFS: HR=1.96, =0.003). Elevated NLR was revealed to correlate with ISS stage (ISS III VS I-II, OR=2.23, =0.003). A total of 7 studies have shown that elevated LMR predicts a better prognosis in MM patients (OS: HR=0.57, <0.001; PFS: HR=0.49, <0.05), and two other studies demonstrated that increased MLR was related to poor OS/PFS (OS: HR=1.58, <0.05; PFS: HR=1.60, <0.05). However, in the other 6 studies including 1560 patients, the prognostic value of PLR had not been confirmed (OS: HR=0.89, >0.05; PFS: HR=0.87, >0.05). The indexes NLR and LMR/MLR derived from WBCC were validated to be useful biomarkers to predict the prognosis in MM patients, but the evidence of PLR was insufficient. |
Author | Huang, Chunlan Chen, Xiaomin Xiong, Hao Wen, Zhenyu Zhang, Xinwen Liao, Kunyu Duan, Jialin Liu, Yang |
AuthorAffiliation | 1 Stem Cell Laboratory, Affiliated Hospital of Southwest Medical University , Luzhou , China 2 Department of Hematology, Affiliated Hospital of Southwest Medical University , Luzhou , China 3 Department of Orthopedics, Affiliated Hospital of Southwest Medical University , Luzhou , China |
AuthorAffiliation_xml | – name: 2 Department of Hematology, Affiliated Hospital of Southwest Medical University , Luzhou , China – name: 3 Department of Orthopedics, Affiliated Hospital of Southwest Medical University , Luzhou , China – name: 1 Stem Cell Laboratory, Affiliated Hospital of Southwest Medical University , Luzhou , China |
Author_xml | – sequence: 1 givenname: Xinwen surname: Zhang fullname: Zhang, Xinwen organization: Department of Hematology, Affiliated Hospital of Southwest Medical University, Luzhou, China – sequence: 2 givenname: Jialin surname: Duan fullname: Duan, Jialin organization: Department of Hematology, Affiliated Hospital of Southwest Medical University, Luzhou, China – sequence: 3 givenname: Zhenyu surname: Wen fullname: Wen, Zhenyu organization: Department of Orthopedics, Affiliated Hospital of Southwest Medical University, Luzhou, China – sequence: 4 givenname: Hao surname: Xiong fullname: Xiong, Hao organization: Department of Hematology, Affiliated Hospital of Southwest Medical University, Luzhou, China – sequence: 5 givenname: Xiaomin surname: Chen fullname: Chen, Xiaomin organization: Department of Hematology, Affiliated Hospital of Southwest Medical University, Luzhou, China – sequence: 6 givenname: Yang surname: Liu fullname: Liu, Yang organization: Department of Hematology, Affiliated Hospital of Southwest Medical University, Luzhou, China – sequence: 7 givenname: Kunyu surname: Liao fullname: Liao, Kunyu organization: Department of Hematology, Affiliated Hospital of Southwest Medical University, Luzhou, China – sequence: 8 givenname: Chunlan surname: Huang fullname: Huang, Chunlan organization: Department of Hematology, Affiliated Hospital of Southwest Medical University, Luzhou, China |
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CitedBy_id | crossref_primary_10_1080_16078454_2023_2210929 crossref_primary_10_3892_wasj_2022_165 crossref_primary_10_3389_fpubh_2022_960740 crossref_primary_10_2147_JIR_S433424 crossref_primary_10_2217_fon_2022_0523 crossref_primary_10_1080_16078454_2023_2240145 |
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Keywords | lymphocyte-to-monocyte ratio (LMR) platelet-to-lymphocyte ratio (PLR) meta-analysis neutrophil-to-lymphocyte ratio (NLR) monocyte-to-lymphocyte ratio (MLR) multiple myeloma (MM) prognosis |
Language | English |
License | Copyright © 2021 Zhang, Duan, Wen, Xiong, Chen, Liu, Liao and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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Notes | content type line 23 SourceType-Scholarly Journals-1 Edited by: Claudio Cerchione, Istituto Scientifico Romagnolo per lo Studio e il Trattamento dei Tumori (IRCCS), Italy These authors share first authorship Reviewed by: Rehan Khan, Case Western Reserve University, United States; İsmail Burak Atalay, Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, Turkey This article was submitted to Hematologic Malignancies, a section of the journal Frontiers in Oncology |
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Snippet | Multiple myeloma (MM) is an incurable malignant plasma cell tumor. Whole blood cell count (WBCC) derived indexes are widely used as a predictive biomarker for... Background Multiple myeloma (MM) is an incurable malignant plasma cell tumor. Whole blood cell count (WBCC) derived indexes are widely used as a predictive... BACKGROUNDMultiple myeloma (MM) is an incurable malignant plasma cell tumor. Whole blood cell count (WBCC) derived indexes are widely used as a predictive... BackgroundMultiple myeloma (MM) is an incurable malignant plasma cell tumor. Whole blood cell count (WBCC) derived indexes are widely used as a predictive... |
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SubjectTerms | lymphocyte-to-monocyte ratio (LMR) monocyte-to-lymphocyte ratio (MLR) multiple myeloma (MM) neutrophil-to-lymphocyte ratio (NLR) Oncology platelet-to-lymphocyte ratio (PLR) prognosis |
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Title | Are the Derived Indexes of Peripheral Whole Blood Cell Counts (NLR, PLR, LMR/MLR) Clinically Significant Prognostic Biomarkers in Multiple Myeloma? A Systematic Review And Meta-Analysis |
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