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Lenvatinib Plus Paclitaxel as Second-Line Therapy for Advanced Gastric Cancer Patients: A Dose Escalation Exploratory
Chenfei Zhou1, Jinling Jiang1, Liting Guo1
1Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Lenvatinib plus paclitaxel shows promising efficacy and good tolerance as a second-line treatment for advanced gastric cancer (AGC). A novel dynamic network biomarker (DNB) score may predict patient prognosis and response to this targeted therapy.
Area of Science:
- Oncology
- Pharmacology
- Biomarkers
Background:
- Second-line treatment options for advanced gastric cancer (AGC) are limited.
- Lenvatinib, a multi-target tyrosine kinase inhibitor (TKI), combined with paclitaxel, is being explored for AGC.
- Dynamic Network Biomarker (DNB) analysis offers a novel approach to identify predictive biomarkers.
Purpose of the Study:
- Determine the maximum tolerated dose (MTD) of lenvatinib plus paclitaxel in AGC patients.
- Explore molecular biomarkers using DNB analysis for predicting prognosis and treatment response.
- Evaluate the safety and efficacy of this combination therapy.
Main Methods:
- Dose escalation study using a "3 + 3" design for lenvatinib.
- Patients received lenvatinib plus paclitaxel (135 mg/m², q3w).
- DNB analysis was performed on serial blood samples using Olink proteomics data.
Main Results:
- The MTD of lenvatinib was determined to be 16 mg.
- The combination was well-tolerated with a Grade ≥3 adverse event rate of 18.2%.
- Objective response rate was 36.4% with a median overall survival of 7.4 months. A DNBscore was established and associated with prognosis and response.
Conclusions:
- Lenvatinib plus paclitaxel demonstrates promising safety and efficacy as a second-line treatment for AGC.
- The DNBscore shows potential as a predictive biomarker for this combination therapy.
- Further research into DNBs could provide critical insights for targeted therapy in AGC.
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