Abstract 169P
Background
The TALENTop study (NCT04649489) is aiming to clarify whether hepatic resection may provide additional benefit in HCC patients with macrovascular invasion (MVI) who responded to conversion therapy with atezolizumab plus bevacizumab (atezo/bev). This study is onging and the primary analysis is expected at a later time; instead, this analyse is to demonstrate the conversion results of atezo/bev. To describe the response and safety outcomes of the conversion therapy and prognostic factors associated with being suitable for R0 hepatic resection.
Methods
HCC patients with MVI and without extrahepatic metastasis are eligible for this study. After received 3 cycles of atezo/bev and 1 cycle of atezo (induction phase), patients assessed as PR or SD (RECIST v1.1) and considered suitable for R0 hepatic resection are 1:1 randomized to Arm A, hepatic resection followed by atezo/bev for 1 year, or Arm B, continuing atezo/bev therapy. The primary endpoint is the time to treatment failure (tumor recurrence or progression or death). Treatment efficacy in the induction phase were analysed.
Results
From Apr 2021 to Dec 2022, 201 patients were enrolled and entered induction phase and completed induction phase therapy of atezo/bev at cut-off date (Apr 2023). The patients were characterized with a median age of 55 (26-78) and 187 (93%) had HBV infection. Mean tumor diameter evaluated by IRF is 100 mm (26-231 mm). All patients had MVI at baseline and 191 (95%) had PVTT. According to RECIST v1.1 criteria, 38 patients (18.9%) achieved PR and 106 patients (52.7%) achieved SD with 3 cycles of atezo/bev and 1 cycle of atezo. ORR and DCR were 18.9% and 71.6%, respectively. Grades ≥3 TRAEs occurred in 26 patients (12.9%). Most common TRAE was fever (13.4%) and proteinuria (10.9%). Of 201 patients, 73 patients (36.3%) were evaluated as suitable for R0 resection and randomized. In univariate logistic regression, PVTT with vp1-2, AFP<400ng/mL, NLR (neutrophil-lymphocyte ratio)<2.63, tumor diameter<100mm were associated with randomization.
Conclusions
Atezo/bev showed high response rate and conversion rate in the HCC patients with MVI, suggesting a promising conversion strategy in this population.
Clinical trial identification
NCT04649489.
Editorial acknowledgement
Legal entity responsible for the study
Zhongshan Hospital, Fudan University.
Funding
Shanghai Roche Pharmaceuticals Ltd., China.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
5P - Clinicopathologic features and genomic profiling of occult breast cancer
Presenter: Liansha Tang
Session: Poster Display
Resources:
Abstract
6P - Tumor cell-released autophagosomes (TRAPs) promote lung metastasis through inducing PD-L1 high expression of pulmonary vascular endothelial cells (PVECs) in breast cancer
Presenter: Xuru Wang
Session: Poster Display
Resources:
Abstract
7P - Tumor cell-released autophagosomes (TRAPs) promote breast cancer lung metastasis by modulating neutrophil extracellular traps formation
Presenter: Xiaohe Zhou
Session: Poster Display
Resources:
Abstract
9P - Clinicopathological features and prognosis of mucinous breast cancer: A retrospective analysis of 358 patients in Vietnam
Presenter: Hoai Hoang
Session: Poster Display
Resources:
Abstract
10P - Comparison of 28-gene and 70-gene panel in risk-prediction of Chinese women with early-stage HR-positive and HER2-negative breast cancer
Presenter: Lei Lei
Session: Poster Display
Resources:
Abstract
11P - Multimodal analysis of methylation and fragmentomic profiles in plasma cell-free DNA for differentiation of benign and malignant breast tumors
Presenter: Hanh Nguyen
Session: Poster Display
Resources:
Abstract
12P - Plasma cell-free mRNA profiles enable early detection of breast cancer
Presenter: Chi Nguyen
Session: Poster Display
Resources:
Abstract
13P - Relationship of distress and quality of life with gut microbiome composition in newly diagnosed breast cancer patients: A prospective, observational study
Presenter: Chi-Chan Lee
Session: Poster Display
Resources:
Abstract
14P - Classification of molecular subtypes of breast cancer in whole-slide histopathological images using a novel deep learning algorithm
Presenter: Hyung Suk Kim
Session: Poster Display
Resources:
Abstract
15P - The regulation of pregnenolone in breast cancer
Presenter: Hyeon-Gu Kang
Session: Poster Display
Resources:
Abstract