Jin Zhi-Cheng, Zhou Jia-Wei, Chen Jian-Jian, Ding Rong, Scheiner Bernhard, Wang Si-Na, Li Hai-Liang, Shen Qing-Xia, Lu Qing-Yun, Liu Yi, Zhang Wei-Hua, Luo Biao, Shi Hai-Bin, Huang Ming, Wu Ye-Ming, Yuan Chun-Wang, Huang Ming-Sheng, Li Jia-Ping, Wu Jian-Bing, Zhu Xiao-Li, Zhong Bin-Yan, Zhou Hai-Feng, Wang Yu-Qing, Gu Shan-Zhi, Peng Zhi-Yi, Zheng Chuan-Sheng, Liu Rui-Bao, Xu Guo-Hui, Yang Wei-Zhu, Xu Ai-Bing, Liu Dong-Fang, Qi Xiaolong, Yeo Yee Hui, Zhu Hai-Dong, Zhao Yang, Pinato David J, Ji Fanpu, Teng Gao-Jun
Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China.
Basic Medicine Research and Innovation Center of Ministry of Education, Zhongda Hospital, National Innovation Platform for Integration of Medical Engineering Education (NMEE) (Southeast University), State Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China.
J Cachexia Sarcopenia Muscle. 2024 Dec;15(6):2705-2716. doi: 10.1002/jcsm.13615. Epub 2024 Nov 27.
Cancer cachexia can impact prognosis, cause resistance to anticancer treatments and affect the tolerability of treatments. This study aims to identify hepatocellular carcinoma (HCC) with cachexia by characterizing longitudinal body composition (BC) trajectories.
This longitudinal, multicentre cohort study included unresectable HCC patients treated with first-line programmed death-(ligand)1 inhibitors plus anti-vascular endothelial growth factor antibody/tyrosine kinase inhibitors between 01/2018-12/2022. BC measurements including skeletal muscle mass (SMM) and total adipose tissue area (TATA) were evaluated by computed tomography at the third lumbar vertebra at baseline and follow-up imaging. Unsupervised latent class growth mixed models were applied to distinguish potential longitudinal SMM and TATA trajectories for identifying cachexia. The primary study endpoint was overall survival (OS), with secondary endpoints including progression-free survival (PFS), objective response rate (ORR) and safety. Multiple Cox proportional hazards models were used to calculate adjusted hazard ratios (HRs) for survival.
A total of 411 patients with 2138 time-point measurements were included. The median age was 56 years, and 50 (12.2%) patients were female. Two distinct trajectories were identified for SMM and TATA: sharp-falling and stable. SMM sharply declined in 58 patients (14.1%) and TATA in 71 of 406 patients (17.5%) with significant worse OS (for SMM, 17.0 vs. 24.9 months; p < 0.001; HR = 0.59; for TATA, 15.3 vs. 25.1 months; p < 0.001; HR = 0.44). Patients were categorized into three phases based on trajectories: pre-cachexia (SMM and TATA stable, n = 299, 73.6%), cachexia (SMM or TATA sharp-falling, n = 86, 21.2%) and refractory cachexia (SMM and TATA sharp-falling, n = 21, 5.2%). Patients with refractory cachexia exhibited the worst OS, PFS and ORR, followed by those with cachexia. The median OS was 11.5 months for refractory cachexia, 17.7 for cachexia and 26.0 for pre-cachexia; median PFS was 6.0, 7.9 and 10.9 months, respectively, with ORR of 4.8%, 39.5% and 54.2%, respectively (all ps < 0.001). Multivariable Cox analysis identified refractory cachexia as an independent risk factor for both OS (HR = 3.31; p < 0.001) and PFS (HR = 2.94; p < 0.001), with cachexia also showing significant impacts. Grade 3-4 adverse events were higher in patients with refractory cachexia (23.8%) and cachexia (8.1%) compared with pre-cachexia (6.0%; p = 0.010).
HCC patients with cachexia and refractory cachexia were identified by longitudinal BC trajectories. Falling trajectories of BC identified refractory cachexia patients with worst response, survival and poor tolerability from systemic therapy combinations.
ClinicalTrials.gov identifier: NCT05278195.
癌症恶病质会影响预后,导致对抗癌治疗产生耐药性,并影响治疗的耐受性。本研究旨在通过描述纵向身体成分(BC)轨迹来识别患有恶病质的肝细胞癌(HCC)。
这项纵向、多中心队列研究纳入了2018年1月至2022年12月期间接受一线程序性死亡-(配体)1抑制剂联合抗血管内皮生长因子抗体/酪氨酸激酶抑制剂治疗的不可切除HCC患者。在基线和随访成像时,通过计算机断层扫描评估第三腰椎水平的BC测量值,包括骨骼肌质量(SMM)和总脂肪组织面积(TATA)。应用无监督潜在类别生长混合模型来区分潜在的纵向SMM和TATA轨迹,以识别恶病质。主要研究终点是总生存期(OS),次要终点包括无进展生存期(PFS)、客观缓解率(ORR)和安全性。使用多个Cox比例风险模型计算生存的调整风险比(HR)。
共纳入411例患者,进行了2138次时间点测量。中位年龄为56岁,50例(12.2%)为女性。识别出SMM和TATA的两种不同轨迹:急剧下降和稳定。58例患者(14.1%)的SMM急剧下降,406例患者中的71例(17.5%)的TATA急剧下降,这些患者的OS显著更差(对于SMM,分别为17.0个月和24.9个月;p<0.001;HR=0.59;对于TATA,分别为15.3个月和25.1个月;p<0.001;HR=0.44)。根据轨迹将患者分为三个阶段:恶病质前期(SMM和TATA稳定,n=299,73.6%)、恶病质(SMM或TATA急剧下降,n=86,21.2%)和难治性恶病质(SMM和TATA急剧下降,n=21,5.2%)。难治性恶病质患者的OS、PFS和ORR最差,其次是恶病质患者。难治性恶病质的中位OS为11.5个月,恶病质为17.7个月,恶病质前期为26.0个月;中位PFS分别为6.0、7.9和10.9个月,ORR分别为4.8%、39.5%和54.2%(所有p<0.001)。多变量Cox分析确定难治性恶病质是OS(HR=3.31;p<0.001)和PFS(HR=2.94;p<0.001)的独立危险因素,恶病质也显示出显著影响。难治性恶病质患者(23.8%)和恶病质患者(8.1%)的3-4级不良事件高于恶病质前期患者(6.0%;p=0.010)。
通过纵向BC轨迹识别出患有恶病质和难治性恶病质的HCC患者。BC的下降轨迹识别出对全身治疗联合反应最差、生存期最短且耐受性差的难治性恶病质患者。
ClinicalTrials.gov标识符:NCT05278195。