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Prognostic Value of the Preoperative Lymphocyte-to-C-Reactive Protein Ratio and Albumin-to-Globulin Ratio in Patients with Osteosarcoma

PURPOSE: Growing evidence indicates that preoperative biomarkers could be identified as independent prognostic factors in various cancers. The purpose of this study was to assess prognostic value of the preoperative lymphocyte-to-C-reactive protein ratio (LCR), albumin-to-globulin ratio (AGR), lymph...

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Autores principales: Hu, Hongzhi, Deng, Xiangtian, Song, Qingcheng, Lv, Hongzhi, Chen, Wei, Xing, Xin, Zhu, Jian, Tan, Zhanchao, Cheng, Xiaodong, Wang, Baichuan, Shao, Zengwu, Zhang, Yingze
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734047/
https://www.ncbi.nlm.nih.gov/pubmed/33328739
http://dx.doi.org/10.2147/OTT.S287192
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author Hu, Hongzhi
Deng, Xiangtian
Song, Qingcheng
Lv, Hongzhi
Chen, Wei
Xing, Xin
Zhu, Jian
Tan, Zhanchao
Cheng, Xiaodong
Wang, Baichuan
Shao, Zengwu
Zhang, Yingze
author_facet Hu, Hongzhi
Deng, Xiangtian
Song, Qingcheng
Lv, Hongzhi
Chen, Wei
Xing, Xin
Zhu, Jian
Tan, Zhanchao
Cheng, Xiaodong
Wang, Baichuan
Shao, Zengwu
Zhang, Yingze
author_sort Hu, Hongzhi
collection PubMed
description PURPOSE: Growing evidence indicates that preoperative biomarkers could be identified as independent prognostic factors in various cancers. The purpose of this study was to assess prognostic value of the preoperative lymphocyte-to-C-reactive protein ratio (LCR), albumin-to-globulin ratio (AGR), lymphocyte–monocyte ratio (LMR), and C-reactive protein to albumin ratio (CAR) in patients with osteosarcoma. METHODS: A total of 137 osteosarcoma patients treated at our hospital between 2011 and 2019 were enrolled in the study. Patient demographics, clinical characteristics, and laboratory data were collected and analyzed. The optimal cutoff values of LCR, AGR, LMR, and CAR were assessed with receiver operating characteristic (ROC) analysis. Kaplan–Meier analysis was performed to estimate overall survival (OS). Univariate and multivariate Cox regression models were employed to determine the independent prognostic factors. The hazard ratios (HR) and 95% confidence intervals (95% CI) were calculated to evaluate relative risk. RESULTS: The optimal cutoff values of LCR, AGR, LMR, and CAR were 0.14, 1.79, 3.05 and 0.24, respectively. According to the univariate analysis, OS was remarkably associated with neoadjuvant chemotherapy (P < 0.001), pathological fracture (P < 0.001), local recurrence (P = 0.020), metastasis (P < 0.001), LCR (P = 0.035), AGR (P = 0.028), LMR (P = 0.010), and CAR (P = 0.004). In multivariate analyses, pathological fracture (P = 0.025), metastasis (P < 0.001), LCR (P = 0.012), and AGR (P = 0.001) were identified as independent risk predictors for OS. CONCLUSION: The present study provides new evidence that the preoperative LCR and AGR could serve as independent prognostic factors for patients with osteosarcoma. These findings will help physicians to stratify patients for appropriate treatment protocols and facilitate decision-making so as to improve the patients’ survival condition.
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spelling pubmed-77340472020-12-15 Prognostic Value of the Preoperative Lymphocyte-to-C-Reactive Protein Ratio and Albumin-to-Globulin Ratio in Patients with Osteosarcoma Hu, Hongzhi Deng, Xiangtian Song, Qingcheng Lv, Hongzhi Chen, Wei Xing, Xin Zhu, Jian Tan, Zhanchao Cheng, Xiaodong Wang, Baichuan Shao, Zengwu Zhang, Yingze Onco Targets Ther Original Research PURPOSE: Growing evidence indicates that preoperative biomarkers could be identified as independent prognostic factors in various cancers. The purpose of this study was to assess prognostic value of the preoperative lymphocyte-to-C-reactive protein ratio (LCR), albumin-to-globulin ratio (AGR), lymphocyte–monocyte ratio (LMR), and C-reactive protein to albumin ratio (CAR) in patients with osteosarcoma. METHODS: A total of 137 osteosarcoma patients treated at our hospital between 2011 and 2019 were enrolled in the study. Patient demographics, clinical characteristics, and laboratory data were collected and analyzed. The optimal cutoff values of LCR, AGR, LMR, and CAR were assessed with receiver operating characteristic (ROC) analysis. Kaplan–Meier analysis was performed to estimate overall survival (OS). Univariate and multivariate Cox regression models were employed to determine the independent prognostic factors. The hazard ratios (HR) and 95% confidence intervals (95% CI) were calculated to evaluate relative risk. RESULTS: The optimal cutoff values of LCR, AGR, LMR, and CAR were 0.14, 1.79, 3.05 and 0.24, respectively. According to the univariate analysis, OS was remarkably associated with neoadjuvant chemotherapy (P < 0.001), pathological fracture (P < 0.001), local recurrence (P = 0.020), metastasis (P < 0.001), LCR (P = 0.035), AGR (P = 0.028), LMR (P = 0.010), and CAR (P = 0.004). In multivariate analyses, pathological fracture (P = 0.025), metastasis (P < 0.001), LCR (P = 0.012), and AGR (P = 0.001) were identified as independent risk predictors for OS. CONCLUSION: The present study provides new evidence that the preoperative LCR and AGR could serve as independent prognostic factors for patients with osteosarcoma. These findings will help physicians to stratify patients for appropriate treatment protocols and facilitate decision-making so as to improve the patients’ survival condition. Dove 2020-12-09 /pmc/articles/PMC7734047/ /pubmed/33328739 http://dx.doi.org/10.2147/OTT.S287192 Text en © 2020 Hu et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Hu, Hongzhi
Deng, Xiangtian
Song, Qingcheng
Lv, Hongzhi
Chen, Wei
Xing, Xin
Zhu, Jian
Tan, Zhanchao
Cheng, Xiaodong
Wang, Baichuan
Shao, Zengwu
Zhang, Yingze
Prognostic Value of the Preoperative Lymphocyte-to-C-Reactive Protein Ratio and Albumin-to-Globulin Ratio in Patients with Osteosarcoma
title Prognostic Value of the Preoperative Lymphocyte-to-C-Reactive Protein Ratio and Albumin-to-Globulin Ratio in Patients with Osteosarcoma
title_full Prognostic Value of the Preoperative Lymphocyte-to-C-Reactive Protein Ratio and Albumin-to-Globulin Ratio in Patients with Osteosarcoma
title_fullStr Prognostic Value of the Preoperative Lymphocyte-to-C-Reactive Protein Ratio and Albumin-to-Globulin Ratio in Patients with Osteosarcoma
title_full_unstemmed Prognostic Value of the Preoperative Lymphocyte-to-C-Reactive Protein Ratio and Albumin-to-Globulin Ratio in Patients with Osteosarcoma
title_short Prognostic Value of the Preoperative Lymphocyte-to-C-Reactive Protein Ratio and Albumin-to-Globulin Ratio in Patients with Osteosarcoma
title_sort prognostic value of the preoperative lymphocyte-to-c-reactive protein ratio and albumin-to-globulin ratio in patients with osteosarcoma
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734047/
https://www.ncbi.nlm.nih.gov/pubmed/33328739
http://dx.doi.org/10.2147/OTT.S287192
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