Impact of Delaying the Addition of Anti-EGFR in First Line of RAS Wild-Type Metastatic Colorectal Cancer: A Propensity-Weighted Pooled Data Analysis.
Lola-Jade PalmieriTomas BuchlerAntoine MeyerVeronika VeskrnovaOndrej FialaPetr BrabecJana BaranovaRomain CoriatPublished in: Cancers (2022)
The first-line therapy of patients with RAS wild-type (WT) non-resectable metastatic colorectal cancer (mCRC) is usually 5-fluorouracil-based chemotherapy with either bevacizumab or an anti-epidermal growth factor receptor (EGFR). The addition of anti-EGFR antibodies is commonly delayed in clinical practice because of late RAS testing results. Our objective was to evaluate the impact on overall survival (OS) of a delayed anti-EGFR introduction strategy. This study pooled the data of two large retrospective studies. Patients with RAS WT non-resectable mCRC, treated in first line by a doublet chemotherapy with an anti-EGFR introduced with a delay of 2 to 4 cycles, were compared to an anti-EGFR and to an anti-VEGF that was introduced immediately. Patients numbering 305 in the delayed anti-EGFR group, 401 in the immediate anti-EGFR group, and 129 in the immediate anti-VEGF group were analyzed. After propensity scoring, there was no difference between the characteristics of the three groups. Median OS was 28.6 months (95% CI: 23.5-34.1) in the immediate anti-EGFR group, 35.1 (95% CI: 29.9-43.5) in the delayed anti-EGFR group, and 32.4 (95% CI: 25.4-44.8) in the immediate anti-VEGF group. There was no significant difference concerning median OS ( p = 0.24) or progression-free survival ( p = 0.56). This study suggests that delaying the introduction of an anti-EGFR has no deleterious impact on survival compared to the immediate introduction of an anti-VEGF or of an anti-EGFR.
Keyphrases
- epidermal growth factor receptor
- small cell lung cancer
- tyrosine kinase
- wild type
- advanced non small cell lung cancer
- free survival
- vascular endothelial growth factor
- endothelial cells
- data analysis
- stem cells
- locally advanced
- clinical practice
- magnetic resonance imaging
- randomized controlled trial
- clinical trial
- mesenchymal stem cells
- machine learning
- newly diagnosed
- radiation therapy
- magnetic resonance
- computed tomography
- deep learning
- study protocol
- squamous cell carcinoma
- artificial intelligence
- cross sectional
- smoking cessation
- open label
- replacement therapy
- big data