Abstract 2634
Background
Pre-clinical and clinical evidence suggests a rationale for the use of anti-angiogenic agents in recurrent and/or metastatic salivary gland carcinomas (RMSGCs). This study evaluates the activity the efficacy and safety of anlotinib, a novel vascular endothelial growth factor receptor (VEGFR) inhibitor in patients with RMSGCs.
Methods
In this single-arm phase II study, patients with RMSGCs were treated with anlotinib 12mg QD p.o. until disease progression, intolerable toxicity or withdrawal of consent. The primary endpoint was the objective response rate (ORR). Progression-free survival (PFS), overall survival (OS), and adverse events were also assessed. This study had been registered with ClinicalTrails. gov: NCT 03591666.
Results
Between June 2018 and February 2019, 24 patients with RMSGCs were screened and 21 patients were enrolled in this study. 10 patients (47.6%) were male, and the median age was 54 years (range 29-75). The most common histologic type was adenoid cystic carcinoma (52.4%), which was followed by adenocarcinoma (19.0%). 16 patients (76.2%) were treated as third-line or further treatment. The objective response rate was 19.1% (95%CI 5.4%-41.9%). The disease control rate was 81.0% (95%CI 58.1%-94.6%). One patient died due to the progress of the disease. At the time of the data cutoff, with a median follow-up of was 4.8 months (range 0.9-9.3), the median PFS had not been reached, and the PFS rate at 6 months was 78.9% (95% CI, 58.1%-94.6%). No drug-related mortality occurred. The most common clinically significant grade 3 or higher adverse events were hypertension (28.6%) and hand-foot syndrome (9.5%).
Conclusions
Anlotinib showed a high disease control rate in patients with RMSGCs. The toxicity was tolerable and manageable.
Clinical trial identification
Editorial acknowledgement
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
5517 - Molecular fingerprinting in breast cancer (BC) screening using Quantum Optics (QO) technology combined with an artificial intelligence (AI) approach applying the concept of “molecular profiles at n variables (MPnV)”: a prospective pilot study.
Presenter: Jean-Marc Nabholtz
Session: Poster Display session 3
Resources:
Abstract
2152 - Inferring the correlation between incidence rates of melanoma and the average tumor-specific epitope binding ability of HLA class I molecules in different populations
Presenter: Istvan Miklos
Session: Poster Display session 3
Resources:
Abstract
4382 - Thermal Liquid Biopsy as a Valuable Tool in Lung Cancer Screening Programs
Presenter: Alberto Rodrigo
Session: Poster Display session 3
Resources:
Abstract
2465 - Towards a screening test for cancer by circulating DNA analysis
Presenter: Rita Tanos
Session: Poster Display session 3
Resources:
Abstract
3788 - Evaluation of a successful launch of the MammaPrint and BluePrint NGS kit
Presenter: Leonie Delahaye
Session: Poster Display session 3
Resources:
Abstract
3863 - Analysis of prognostic factors on overall survival in elderly women treated for early breast cancer using data mining and machine learning
Presenter: Pierre Heudel
Session: Poster Display session 3
Resources:
Abstract
1993 - Circulating tumor cell detection in epithelial ovarian cancer using dual-component antibodies targeting EpCAM and FRα
Presenter: Na Li
Session: Poster Display session 3
Resources:
Abstract
4281 - CEUS of the breast: Is it feasible in improved performance of BI-RADS evaluation of critical breast lesions?——A multi-center prospective study in China
Presenter: Jun Luo
Session: Poster Display session 3
Resources:
Abstract
2268 - Classification of abnormal findings on ring-type dedicated breast PET for detecting breast cancer
Presenter: Shinsuke Sasada
Session: Poster Display session 3
Resources:
Abstract
4035 - Prediction of benign and malignant breast masses using digital mammograms texture features
Presenter: Cui Yanhua
Session: Poster Display session 3
Resources:
Abstract