Hepatocellular Carcinoma Clinical Trial
— CHANCEsubOfficial title:
Assessing the Prognosis of Transarterial Chemoembolization in Combination With PD-1/PD-L1 Inhibitors and Molecular Target Therapies(VEGF-TKI/Bevacizumab) for Hepatocellular Carcinoma by Using Clinical and Imaging Biomarkers
The purpose of this study is to id transarterial chemoembolization (TACE) in combination with immune checkpoint inhibitors (ICIs) and molecular targeted therapies in patients with hepatocellular carcinoma (HCC) .
Status | Recruiting |
Enrollment | 300 |
Est. completion date | December 1, 2023 |
Est. primary completion date | December 1, 2022 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: 1. Has a diagnosis of HCC confirmed by radiology, histology, or cytology; 2. Has not received any previous systemic therapy for HCC (including chemotherapy, molecularly targeted therapy, immunotherapy); 3. Both PD-1/PD-L1 inhibitors and anti-angiogenesis drugs patients received only include marketed drugs but are not limited to HCC approval; 4. TACE was performed up to 3 months after the first PD-1/PD-L1 inhibitor/anti-angiogenic drug treatment or within 1 month before treatment; 5. Received at least 1 cycle of PD-1/PD-L1 inhibitor/anti-angiogenic drug combination therapy after TACE treatment; 7. Has repeated measurable intrahepatic lesions according to RECIST v1.1; Exclusion Criteria: 1. Cholangiocarcinoma, fibrolamellar, sarcomatoid hepatocellular carcinoma, and mixed hepatocellular/cholangiocarcinoma subtypes(confirmed by histology, or pathology) are not eligible; 2. Unable to meet criteria of combination timeframe described above; 3. Missing follow-up data; |
Country | Name | City | State |
---|---|---|---|
China | Zhongda Hospital, Southeast University | Nanjing | Jiangsu |
Lead Sponsor | Collaborator |
---|---|
Zhongda Hospital |
China,
Llovet JM, Kelley RK, Villanueva A, Singal AG, Pikarsky E, Roayaie S, Lencioni R, Koike K, Zucman-Rossi J, Finn RS. Hepatocellular carcinoma. Nat Rev Dis Primers. 2021 Jan 21;7(1):6. doi: 10.1038/s41572-020-00240-3. Review. — View Citation
Llovet JM, Villanueva A, Marrero JA, Schwartz M, Meyer T, Galle PR, Lencioni R, Greten TF, Kudo M, Mandrekar SJ, Zhu AX, Finn RS, Roberts LR; AASLD Panel of Experts on Trial Design in HCC. Trial Design and Endpoints in Hepatocellular Carcinoma: AASLD Consensus Conference. Hepatology. 2021 Jan;73 Suppl 1:158-191. doi: 10.1002/hep.31327. Epub 2020 Sep 9. Review. — View Citation
Ochoa de Olza M, Navarro Rodrigo B, Zimmermann S, Coukos G. Turning up the heat on non-immunoreactive tumours: opportunities for clinical development. Lancet Oncol. 2020 Sep;21(9):e419-e430. doi: 10.1016/S1470-2045(20)30234-5. Review. — View Citation
Pinato DJ, Murray SM, Forner A, Kaneko T, Fessas P, Toniutto P, Mínguez B, Cacciato V, Avellini C, Diaz A, Boyton RJ, Altmann DM, Goldin RD, Akarca AU, Marafioti T, Mauri FA, Casagrande E, Grillo F, Giannini E, Bhoori S, Mazzaferro V. Trans-arterial chemoembolization as a loco-regional inducer of immunogenic cell death in hepatocellular carcinoma: implications for immunotherapy. J Immunother Cancer. 2021 Sep;9(9). pii: e003311. doi: 10.1136/jitc-2021-003311. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Overall Survival(OS) | The OS is defined as the time from the initiation of any combination treatment to death due to any cause. | up to approximately 2 years | |
Secondary | Specificity | The specificity of the radiomics artificial intelligence model for identifying optimal candidates among patients who treated TACE in combination with PD-1/PD-L1 inhibitors and molecular target therapy will be calculated. | baseline | |
Secondary | Sensitivity | The sensitivity of the radiomics artificial intelligence model for identifying optimal candidates among patients who treated TACE in combination with PD-1/PD-L1 inhibitors and molecular target therapy will be calculated. | baseline | |
Secondary | The area under curve (AUC) of Receiver Operating Characteristic (ROC) curves of the radiomics artificial intelligence mode | The area under curve (AUC) of Receiver Operating Characteristic (ROC) curves of the radiomics artificial intelligence model for identifying optimal candidates among patients who treated TACE in combination with PD-1/PD-L1 inhibitors and molecular target therapy will be calculated. | baseline | |
Secondary | Accuracy | Defined by a confusion matrix of sensitivity and specificity to true positives and true negatives. | baseline |
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