Clinical Outcomes of Switching from Zoledronic Acid to Denosumab for the Management of Severe Bone Metastasis from Hepatocellular Carcinoma: A Single-Center, Open-Label, Prospective Intervention Trial

作者
Kensuke Naruto,Tomokazu Kawaoka,Shintaro Yamasaki,Masanari Kosaka,Yuki Shirane,Yusuke Johira,Shigeki Yano,Kei Amioka,Yutaro Ogawa,Yuki Yoshikawa,Kenji Yamaoka,Shinsuke Uchikawa,Hatsue Fujino,Atsushi Ono,Yasutomo Fujii,Takashi Nakahara,Eisuke Murakami,Daiki Miki,Masataka Tsuge,Shiro Oka
出处
期刊:Yonago Acta Medica [Tottori University]
卷期号:66 (4): 422-431
标识
DOI:10.33160/yam.2023.11.007
摘要

Background: Zoledronic acid reduces the risk of bone metastasis, but denosumab is a better option for treating bone metastases. However, few studies have evaluated the use of denosumab to treat bone metastasis originating from hepatocellular carcinoma. This study aimed to assess the clinical outcomes of switching from zoledronic acid to denosumab for treating bone metastasis in patients with hepatocellular carcinoma. Methods: This prospective study enrolled 10 patients with HCC and bone metastases. The levels of type 1 collagen cross-linked N-telopeptide (NTx) and tumor growth remained abnormal in these patients despite administration of zoledronic acid for over 3 months. We switched from zoledronic acid to 120 mg denosumab every 4 weeks and evaluated the clinical outcomes, including changes in the NTx level, pain level, and activities of daily living, as well as adverse events, after each administration. Results: 0.56). The answers to questionnaires on pain and activities of daily living did not change significantly. Some patients showed elevated transaminase levels, but this was not due to the drug switch. Conclusion: Switching to denosumab did not show a significant change of the pain and activity of daily living for the patients with severe bone metastasis from hepatocellular carcinoma, in whom the efficacy of zoledronic acid was limited.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
丰富语蕊应助bian采纳,获得10
1秒前
bill发布了新的文献求助10
2秒前
凝雁发布了新的文献求助10
4秒前
绘空事发布了新的文献求助10
4秒前
4秒前
悠狸完成签到,获得积分10
4秒前
很闲的薯片完成签到,获得积分10
5秒前
xj发布了新的文献求助10
6秒前
香蕉觅云应助Monster采纳,获得10
6秒前
6秒前
6秒前
苹果万恶发布了新的文献求助10
7秒前
Q清风慕竹完成签到,获得积分10
7秒前
bill完成签到,获得积分10
8秒前
可靠铸海发布了新的文献求助10
10秒前
hrpppp发布了新的文献求助10
11秒前
11秒前
亮仔完成签到,获得积分10
12秒前
12秒前
zhzzhz完成签到,获得积分0
13秒前
yryyorz完成签到,获得积分10
14秒前
14秒前
等待八宝粥完成签到,获得积分10
14秒前
F__完成签到 ,获得积分10
14秒前
Hello应助紧张的世德采纳,获得10
14秒前
15秒前
hyPang完成签到,获得积分10
15秒前
明亮的犀牛完成签到,获得积分10
15秒前
临河盗龙发布了新的文献求助100
17秒前
17秒前
18秒前
爆米花应助泡芙采纳,获得10
20秒前
怕黑山晴发布了新的文献求助10
20秒前
21秒前
张张完成签到 ,获得积分10
21秒前
lhh发布了新的文献求助10
22秒前
yucheung发布了新的文献求助10
22秒前
xj完成签到,获得积分20
23秒前
23秒前
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Health Psychology 1000
全员动态考核,锚定高质量发展:读懂同济大学教师人事改革新政的深层价值 900
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7595968
求助须知:如何正确求助?哪些是违规求助? 9172540
关于积分的说明 19635918
捐赠科研通 7173156
什么是DOI,文献DOI怎么找? 3267941
关于科研通互助平台的介绍 2432722
邀请新用户注册赠送积分活动 2261076