Abstract 96P
Background
Chemotherapy combined with anti-PD-1 monoclonal antibody has already become the first-line treatment in advanced ESCC, while the benefits in objective responses and survival were limited. Cadonilimab (AK104), a bispecific antibody simultaneously targeting PD-1 and CTLA-4, was designed to boost anti-tumour activity with an improved safety profile. Here, we first evaluated the safety and efficacy of AK104 combination therapy as the first-line treatment in advanced ESCC.
Methods
Eligible pts with previously untreated unresectable locally advanced or metastatic ESCC received AK104 (10mg/kg, iv, d1, q3w) combined with paclitaxel or nab-paclitaxel (175 mg/m2, iv, d1, q3w) and cisplatin (65 to 75 mg/m2, iv, d1, q3w) for up to 6 cycles, then continued AK104 (10mg/kg, iv, d1, q3w) treatment as maintenance until progressive disease or unacceptable toxicity, with a maximum of 24 months. The primary endpoint was objective response rate (ORR). Secondary endpoints were progression-free survival (PFS), overall survival (OS), disease control rate (DCR) and safety.
Results
As of data cut-off (September 21, 2023), 22 pts were enrolled with a median age of 61 years (range 44-75), 50.0% had PD-L1 CPS<10. In the efficacy-evaluable population (n=15), 13 pts reached partial response and 2 pts had stable disease. The ORR was 86.7% (95%CI: 58.4%-97.7%) and the DCR was 100.0% (95%CI: 74.7%-100%). Both median PFS and OS were not reached. Among evaluable pts with PD-L1 CPS≥10 and PD-L1 CPS<10, the ORR were 83.3% (5/6) and 88.9% (8/9), respectively. Seven (31.8%) pts experienced grade 3-4 TRAEs, which mainly included neutropenia (22.7%), leukopenia (9.1%) and hyponatremia (9.1%). Immune-related AEs were observed in 3pts (13.6%). 3 pts (13.6%) suffered from serious AEs, and no grade 5 TRAE was observed. AEs led to discontinuation of AK104 in 2 (9.1%) of enrolled pts.
Conclusions
Bispecific antibody AK104 combined with taxane and cisplatin showed better ORR and manageable safety as first-line treatment in advanced ESCC, regardless of PD-L1 expression. Survival outcomes will be reported in the future and single AK104 cohort in pts with PD-L1 CPS≥5 ESCC is being explored.
Clinical trial identification
NCT05522894.
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
14P - Integrated modelling of T cell repertoires to identify clonotype signatures of ICI response
Presenter: Juan Luis Melero
Session: Poster Display
16P - Exosomal PD-L1 and lactate predict clinical outcomes of PD-1 blockade combined with chemotherapy in advanced-stage gastric and gastroesophageal junction adenocarcinoma
Presenter: Yongshun Chen
Session: Poster Display
17P - Spatial Characteristics Associated with the Chemo and Immuno-treatment Response of Gastric Cancer Revealed by Multi-omics Analysis
Presenter: Gang Che
Session: Poster Display
18P - Association of DNA methylation profiles with pathologic complete response in early triple negative breast cancer patients receiving neoadjuvant chemoimmunotherapy
Presenter: Angelika Starzer
Session: Poster Display
19P - The prognostic value of soluble CD73 in advanced triple-negative breast cancer: an exploratory analysis of the SYNERGY trial
Presenter: Denis Zoë
Session: Poster Display
21P - Mass cytometry reveals a population of exhausted CD8+ T cells associated with durvalumab/tremelimumab/vinorelbine efficacy in advanced cervical cancer (iMOVIE).
Presenter: Alexandre Bertucci
Session: Poster Display
22P - Predictive value of Tertiary Lymphoid Structure in patients with mismatch repair deficient advanced/ recurrent endometrial cancer treated with Dostarlimab.
Presenter: Maria Kfoury
Session: Poster Display
23P - Circulating immune cells and activity of immune checkpoint inhibitors in metastatic renal cell carcinoma
Presenter: Ronan Flippot
Session: Poster Display
24P - Chromosome 3p-related gene alterations (GA) as biomarkers for immunocombinations in metastatic renal cell carcinoma (mRCC): a hypothesis-generating analysis
Presenter: Matteo Rosellini
Session: Poster Display