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Systemic Inflammatory Biomarkers Predict Survival of Patients Treated With Tyrosine Kinase Inhibitors for Metastatic Renal Cell Carcinoma
OBJECTIVE: We aimed to retrospectively investigate whether the neutrophil to lymphocyte ratio (NLR) and the monocyte to lymphocyte ratio (MLR) can predict the prognosis of patients with metastatic renal cell carcinoma (mRCC) treated with sunitinib or sorafenib. METHODS: We retrospectively identified...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486224/ https://www.ncbi.nlm.nih.gov/pubmed/37673428 http://dx.doi.org/10.1177/10732748231197511 |
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author | Wang, Zhaojuan Qin, Yujie Chai, Xuxia Lu, Lina Xue, Ping Lu, Runrun Miao, Chengrui Ma, Haimei Hu, Xiaoyi Yao, Jiaxi |
author_facet | Wang, Zhaojuan Qin, Yujie Chai, Xuxia Lu, Lina Xue, Ping Lu, Runrun Miao, Chengrui Ma, Haimei Hu, Xiaoyi Yao, Jiaxi |
author_sort | Wang, Zhaojuan |
collection | PubMed |
description | OBJECTIVE: We aimed to retrospectively investigate whether the neutrophil to lymphocyte ratio (NLR) and the monocyte to lymphocyte ratio (MLR) can predict the prognosis of patients with metastatic renal cell carcinoma (mRCC) treated with sunitinib or sorafenib. METHODS: We retrospectively identified 210 patients with mRCC treated with sunitinib or sorafenib from 2007 to 2017 at Fudan University- and Hexi University-affiliated hospitals. Overall survival (OS) and progression-free survival (PFS) were evaluated using the Kaplan–Meier method. Multivariate regression analysis was used to evaluate predictors of PFS and OS. RESULTS: Low NLR (<2.85) and MLR (<.30) were strongly associated with increased PFS and OS. Multivariable analyses verified that the NLR and MLR were both independent prognostic factors. Additionally, the NLR was negatively correlated with CD8(+) and CD4(+) T-cell infiltration in tumors. CONCLUSION: In patients with mRCC treated with sunitinib and sorafenib, an NLR <2.85 and MLR <.30 was associated with superior PFS and OS, which may be related to the reduced lymphocytic infiltration of tumors. |
format | Online Article Text |
id | pubmed-10486224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-104862242023-09-09 Systemic Inflammatory Biomarkers Predict Survival of Patients Treated With Tyrosine Kinase Inhibitors for Metastatic Renal Cell Carcinoma Wang, Zhaojuan Qin, Yujie Chai, Xuxia Lu, Lina Xue, Ping Lu, Runrun Miao, Chengrui Ma, Haimei Hu, Xiaoyi Yao, Jiaxi Cancer Control Original Research Article OBJECTIVE: We aimed to retrospectively investigate whether the neutrophil to lymphocyte ratio (NLR) and the monocyte to lymphocyte ratio (MLR) can predict the prognosis of patients with metastatic renal cell carcinoma (mRCC) treated with sunitinib or sorafenib. METHODS: We retrospectively identified 210 patients with mRCC treated with sunitinib or sorafenib from 2007 to 2017 at Fudan University- and Hexi University-affiliated hospitals. Overall survival (OS) and progression-free survival (PFS) were evaluated using the Kaplan–Meier method. Multivariate regression analysis was used to evaluate predictors of PFS and OS. RESULTS: Low NLR (<2.85) and MLR (<.30) were strongly associated with increased PFS and OS. Multivariable analyses verified that the NLR and MLR were both independent prognostic factors. Additionally, the NLR was negatively correlated with CD8(+) and CD4(+) T-cell infiltration in tumors. CONCLUSION: In patients with mRCC treated with sunitinib and sorafenib, an NLR <2.85 and MLR <.30 was associated with superior PFS and OS, which may be related to the reduced lymphocytic infiltration of tumors. SAGE Publications 2023-09-06 /pmc/articles/PMC10486224/ /pubmed/37673428 http://dx.doi.org/10.1177/10732748231197511 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Article Wang, Zhaojuan Qin, Yujie Chai, Xuxia Lu, Lina Xue, Ping Lu, Runrun Miao, Chengrui Ma, Haimei Hu, Xiaoyi Yao, Jiaxi Systemic Inflammatory Biomarkers Predict Survival of Patients Treated With Tyrosine Kinase Inhibitors for Metastatic Renal Cell Carcinoma |
title | Systemic Inflammatory Biomarkers Predict Survival of Patients Treated With Tyrosine Kinase Inhibitors for Metastatic Renal Cell Carcinoma |
title_full | Systemic Inflammatory Biomarkers Predict Survival of Patients Treated With Tyrosine Kinase Inhibitors for Metastatic Renal Cell Carcinoma |
title_fullStr | Systemic Inflammatory Biomarkers Predict Survival of Patients Treated With Tyrosine Kinase Inhibitors for Metastatic Renal Cell Carcinoma |
title_full_unstemmed | Systemic Inflammatory Biomarkers Predict Survival of Patients Treated With Tyrosine Kinase Inhibitors for Metastatic Renal Cell Carcinoma |
title_short | Systemic Inflammatory Biomarkers Predict Survival of Patients Treated With Tyrosine Kinase Inhibitors for Metastatic Renal Cell Carcinoma |
title_sort | systemic inflammatory biomarkers predict survival of patients treated with tyrosine kinase inhibitors for metastatic renal cell carcinoma |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486224/ https://www.ncbi.nlm.nih.gov/pubmed/37673428 http://dx.doi.org/10.1177/10732748231197511 |
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