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Tumor Radiomic Features on Pretreatment MRI to Predict Response to Lenvatinib plus an Anti-PD-1 Antibody in Advanced Hepatocellular Carcinoma: A Multicenter Study.
Xu, Bin; Dong, San-Yuan; Bai, Xue-Li; Song, Tian-Qiang; Zhang, Bo-Heng; Zhou, Le-Du; Chen, Yong-Jun; Zeng, Zhi-Ming; Wang, Kui; Zhao, Hai-Tao; Lu, Na; Zhang, Wei; Li, Xu-Bin; Zheng, Su-Su; Long, Guo; Yang, Yu-Chen; Huang, Hua-Sheng; Huang, Lan-Qing; Wang, Yun-Chao; Liang, Fei; Zhu, Xiao-Dong; Huang, Cheng; Shen, Ying-Hao; Zhou, Jian; Zeng, Meng-Su; Fan, Jia; Rao, Sheng-Xiang; Sun, Hui-Chuan.
  • Xu B; Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China.
  • Dong SY; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China.
  • Bai XL; Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Song TQ; Department of Hepatobiliary, National Clinical Research Center of Cancer, Oncology Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
  • Zhang BH; Department of Hepatic Oncology, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, China.
  • Zhou LD; Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China.
  • Chen YJ; Department of Hepatobiliary Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zeng ZM; Department of Medical Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Wang K; Department of Hepatic Surgery II, Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai, China.
  • Zhao HT; Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Lu N; Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Zhang W; Department of Hepatobiliary, National Clinical Research Center of Cancer, Oncology Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
  • Li XB; Department of Radiology, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
  • Zheng SS; Department of Hepatic Oncology, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, China.
  • Long G; Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China.
  • Yang YC; Department of Hepatobiliary Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Huang HS; Department of Medical Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Huang LQ; Department of Hepatic Surgery II, Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai, China.
  • Wang YC; Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Liang F; Department of Biostatistics, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Zhu XD; Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China.
  • Huang C; Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China.
  • Shen YH; Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China.
  • Zhou J; Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China.
  • Zeng MS; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China.
  • Fan J; Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China.
  • Rao SX; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China.
  • Sun HC; Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China.
Liver Cancer ; 12(3): 262-276, 2023 Aug.
Article en En | MEDLINE | ID: mdl-37601982
ABSTRACT

Introduction:

Lenvatinib plus an anti-PD-1 antibody has shown promising antitumor effects in patients with advanced hepatocellular carcinoma (HCC), but with clinical benefit limited to a subset of patients. We developed and validated a radiomic-based model to predict objective response to this combination therapy in advanced HCC patients.

Methods:

Patients (N = 170) who received first-line combination therapy with lenvatinib plus an anti-PD-1 antibody were retrospectively enrolled from 9 Chinese centers; 124 and 46 into the training and validation cohorts, respectively. Radiomic features were extracted from pretreatment contrast-enhanced MRI. After feature selection, clinicopathologic, radiomic, and clinicopathologic-radiomic models were built using a neural network. The performance of models, incremental predictive value of radiomic features compared with clinicopathologic features and relationship between radiomic features and survivals were assessed.

Results:

The clinicopathologic model modestly predicted objective response with an AUC of 0.748 (95% CI 0.656-0.840) and 0.702 (95% CI 0.547-0.884) in the training and validation cohorts, respectively. The radiomic model predicted response with an AUC of 0.886 (95% CI 0.815-0.957) and 0.820 (95% CI 0.648-0.984), respectively, with good calibration and clinical utility. The incremental predictive value of radiomic features to clinicopathologic features was confirmed with a net reclassification index of 47.9% (p < 0.001) and 41.5% (p = 0.025) in the training and validation cohorts, respectively. Furthermore, radiomic features were associated with overall survival and progression-free survival both in the training and validation cohorts, but modified albumin-bilirubin grade and neutrophil-to-lymphocyte ratio were not.

Conclusion:

Radiomic features extracted from pretreatment MRI can predict individualized objective response to combination therapy with lenvatinib plus an anti-PD-1 antibody in patients with unresectable or advanced HCC, provide incremental predictive value over clinicopathologic features, and are associated with overall survival and progression-free survival after initiation of this combination regimen.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article