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基于贝伐单抗的QCT在一线治疗的转移性结直肠癌预后评估中的应用。

The application of QCT in the prognostic assessment of mCRC undergoing first-line treatment based on bevacizumab.

作者信息

Liu Xudong, Wu Shusheng, Dang Wenxi, Shen Hao, Sun Mingjie, Chen Yaolin, Zhang Zhihua, Li Mengge, Cai Zhirun, Wang Haoyu, Gao Fei, He Yifu

机构信息

Graduate School, Wannan Medical College, Wuhu, Anhui, China.

Gastrointestinal Oncology Department, The First Affiliated Hospital of USTC West District, Hefei, Anhui, China.

出版信息

Future Oncol. 2024 Dec;20(40):3433-3442. doi: 10.1080/14796694.2024.2430160. Epub 2024 Nov 18.

Abstract

BACKGROUND

Bevacizumab induces muscle atrophy by changing the gene expression level of muscle tissue. Quantitative computed tomography (QCT) enables precise measurement of various body compositions, including muscle area.

MATERIALS & METHODS: A total of 102 patients with metastatic colorectal cancer (mCRC) undergoing first-line chemotherapy based on bevacizumab were enrolled at thirst Affiliated Hospital of the University of Science and Technology of China. Their body compositions were measured respectively 1 month before and 1 month after the treatment.

RESULTS

Treatment-related decline in skeletal muscle index and visceral fat infiltration significantly affect patient prognosis.

CONCLUSION

A predictive model constructed by integrating changes in body composition with patient clinical characteristics effectively predicts the 9-month progression-free survival (PFS) of patients with mCRC.

摘要

背景

贝伐单抗通过改变肌肉组织的基因表达水平诱导肌肉萎缩。定量计算机断层扫描(QCT)能够精确测量包括肌肉面积在内的各种身体成分。

材料与方法

共有102例接受基于贝伐单抗的一线化疗的转移性结直肠癌(mCRC)患者在中国科学技术大学附属第一医院入组。在治疗前1个月和治疗后1个月分别测量他们的身体成分。

结果

与治疗相关的骨骼肌指数下降和内脏脂肪浸润显著影响患者预后。

结论

通过整合身体成分变化与患者临床特征构建的预测模型可有效预测mCRC患者的9个月无进展生存期(PFS)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c466/11776858/09cd7197d316/IFON_A_2430160_F0001_OC.jpg

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