The Prognostic Value of Body Fat Components in Metastasis Renal Cell Carcinoma Patients Treated with TKIs

Jindong Dai,1 Xingming Zhang,1 Zhenhua Liu,1 Tingni Song,2 Xudong Zhu,1 Haoran Zhang,1 Mingpeng Wu,2 Xiang Li,1 Hao Zeng,1 Pengfei Shen1 1Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu 610041, People’s Republic of China; 2Department of Radiolo...

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Main Authors: Dai J, Zhang X, Liu Z, Song T, Zhu X, Zhang H, Wu M, Li X, Zeng H, Shen P
Format: Article
Language:English
Published: Dove Medical Press 2020-02-01
Series:Cancer Management and Research
Subjects:
Online Access:https://www.dovepress.com/the-prognostic-value-of-body-fat-components-in-metastasis-renal-cell-c-peer-reviewed-article-CMAR
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spelling doaj-664c33b19d0949c2885dfd02a85dc9512020-11-25T01:11:31ZengDove Medical PressCancer Management and Research1179-13222020-02-01Volume 1289190351632The Prognostic Value of Body Fat Components in Metastasis Renal Cell Carcinoma Patients Treated with TKIsDai JZhang XLiu ZSong TZhu XZhang HWu MLi XZeng HShen PJindong Dai,1 Xingming Zhang,1 Zhenhua Liu,1 Tingni Song,2 Xudong Zhu,1 Haoran Zhang,1 Mingpeng Wu,2 Xiang Li,1 Hao Zeng,1 Pengfei Shen1 1Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu 610041, People’s Republic of China; 2Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, People’s Republic of ChinaCorrespondence: Pengfei ShenDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu 610041, People’s Republic of ChinaTel +86-28-8542-2451Email cdhx510@163.comPurpose: To assess the association between body fat components and survival status and tumor response for metastatic renal cell carcinoma (mRCC) patients treated with tyrosine kinase inhibitors (TKIs).Patients and Methods: Patients with pathologically diagnosed and radiologically indicated mRCC were enrolled into the retrospective study. Three body fat components: total fat accumulation (TFA), visceral fat accumulation (VFA) and subcutaneous fat accumulation (SFA) were measured using standard CT scans. The clinical outcomes included progression-free survival (PFS), overall survival (OS), and tumor response rates. Univariate analysis and multivariate Cox proportion hazard regression models were used to find associated parameters and to calculate the adjusted hazard ratio (HR).Results: A total of 146 patients were enrolled and the average age of patients was 56.5 years old. According to the univariate analysis, patients with an increased SFA and TFA had a longer PFS and OS. A similar phenomenon was observed among patients with ≥ 2 increasing body fat components about PFS and OS. As for multivariate analysis, SFA change (p=0.014) or the number of increasing body fat components (p=0.040) were independent indicators to predict PFS. In addition, SFA change (p=0.022) or the number of increasing body fat components (p=0.008) could independently predict OS. Moreover, a better disease control rate (p=0.028) was founded in patients with ≥ 2 increasing components. In the subgroup of patients with ≥ 2 metastasis sites, improved OS (p=0.017) and PFS (p=0.027) were found compared to those with < 2 increasing components. Further multivariate analysis identified the number of increasing body fat components was an independent factor in predicting PFS (p=0.018) and OS (p=0.029).Conclusion: Body fat accumulation, such as high SFA or TFA at progression, could improve the survival of patients with mRCC treated with TKIs, especially patients with higher tumor burden. It should be considered as an important parameter to predict the survival status of patients with mRCC.Keywords: tyrosine kinase inhibitor, body fat component, prognosishttps://www.dovepress.com/the-prognostic-value-of-body-fat-components-in-metastasis-renal-cell-c-peer-reviewed-article-CMARtyrosine kinase inhibitorbody fat componentprognosis
collection DOAJ
language English
format Article
sources DOAJ
author Dai J
Zhang X
Liu Z
Song T
Zhu X
Zhang H
Wu M
Li X
Zeng H
Shen P
spellingShingle Dai J
Zhang X
Liu Z
Song T
Zhu X
Zhang H
Wu M
Li X
Zeng H
Shen P
The Prognostic Value of Body Fat Components in Metastasis Renal Cell Carcinoma Patients Treated with TKIs
Cancer Management and Research
tyrosine kinase inhibitor
body fat component
prognosis
author_facet Dai J
Zhang X
Liu Z
Song T
Zhu X
Zhang H
Wu M
Li X
Zeng H
Shen P
author_sort Dai J
title The Prognostic Value of Body Fat Components in Metastasis Renal Cell Carcinoma Patients Treated with TKIs
title_short The Prognostic Value of Body Fat Components in Metastasis Renal Cell Carcinoma Patients Treated with TKIs
title_full The Prognostic Value of Body Fat Components in Metastasis Renal Cell Carcinoma Patients Treated with TKIs
title_fullStr The Prognostic Value of Body Fat Components in Metastasis Renal Cell Carcinoma Patients Treated with TKIs
title_full_unstemmed The Prognostic Value of Body Fat Components in Metastasis Renal Cell Carcinoma Patients Treated with TKIs
title_sort prognostic value of body fat components in metastasis renal cell carcinoma patients treated with tkis
publisher Dove Medical Press
series Cancer Management and Research
issn 1179-1322
publishDate 2020-02-01
description Jindong Dai,1 Xingming Zhang,1 Zhenhua Liu,1 Tingni Song,2 Xudong Zhu,1 Haoran Zhang,1 Mingpeng Wu,2 Xiang Li,1 Hao Zeng,1 Pengfei Shen1 1Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu 610041, People’s Republic of China; 2Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, People’s Republic of ChinaCorrespondence: Pengfei ShenDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu 610041, People’s Republic of ChinaTel +86-28-8542-2451Email cdhx510@163.comPurpose: To assess the association between body fat components and survival status and tumor response for metastatic renal cell carcinoma (mRCC) patients treated with tyrosine kinase inhibitors (TKIs).Patients and Methods: Patients with pathologically diagnosed and radiologically indicated mRCC were enrolled into the retrospective study. Three body fat components: total fat accumulation (TFA), visceral fat accumulation (VFA) and subcutaneous fat accumulation (SFA) were measured using standard CT scans. The clinical outcomes included progression-free survival (PFS), overall survival (OS), and tumor response rates. Univariate analysis and multivariate Cox proportion hazard regression models were used to find associated parameters and to calculate the adjusted hazard ratio (HR).Results: A total of 146 patients were enrolled and the average age of patients was 56.5 years old. According to the univariate analysis, patients with an increased SFA and TFA had a longer PFS and OS. A similar phenomenon was observed among patients with ≥ 2 increasing body fat components about PFS and OS. As for multivariate analysis, SFA change (p=0.014) or the number of increasing body fat components (p=0.040) were independent indicators to predict PFS. In addition, SFA change (p=0.022) or the number of increasing body fat components (p=0.008) could independently predict OS. Moreover, a better disease control rate (p=0.028) was founded in patients with ≥ 2 increasing components. In the subgroup of patients with ≥ 2 metastasis sites, improved OS (p=0.017) and PFS (p=0.027) were found compared to those with < 2 increasing components. Further multivariate analysis identified the number of increasing body fat components was an independent factor in predicting PFS (p=0.018) and OS (p=0.029).Conclusion: Body fat accumulation, such as high SFA or TFA at progression, could improve the survival of patients with mRCC treated with TKIs, especially patients with higher tumor burden. It should be considered as an important parameter to predict the survival status of patients with mRCC.Keywords: tyrosine kinase inhibitor, body fat component, prognosis
topic tyrosine kinase inhibitor
body fat component
prognosis
url https://www.dovepress.com/the-prognostic-value-of-body-fat-components-in-metastasis-renal-cell-c-peer-reviewed-article-CMAR
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