Equivalent Efficacy but Different Safety Profiles of Gemcitabine Plus Nab-Paclitaxel and FOLFIRINOX in Metastatic Pancreatic Cancer.
Ilario Giovanni RapposelliStefano CascinuCaterina VivaldiGiulia BartoliniLaura BernardiniAlessandro PassardiGiovanni Luca FrassinetiValentina MassaAlessandro CucchettiPublished in: Biomolecules (2021)
FOLFIRINOX (FFX) and gemcitabine + nab-paclitaxel (GN) are the most common chemotherapy regimens in first-line treatment of metastatic pancreatic cancer (PC). They have not been compared each other in a prospective trial, but only in retrospective studies, which can thus be affected by several biases. In order to overcome these biases, we took advantage of matching-adjusted indirect comparison (MAIC), that allows an indirect comparison by reducing cross-trial differences, and compared data from 268 patients treated with GN in a real-world setting with data from the 171 patients included in the FFX arm of the PRODIGE trial. Survival outcomes did not differ between the two populations. Overall survival was 11.1 months for both treatments (hazard ratio (HR) of FFX 1.10, 95% confidence interval (CI) 0.81-1.49; p = 0.527). Progression-free survival was 6.0 months with GN and 6.4 months with FFX (HR of FFX 1.11, 95% CI 0.82-1.50; p = 0.520). On the other hand, we observed a difference in the toxicity profiles: grade 3/4 anemia was more frequent with GN, whereas a higher occurrence of grade 3/4 vomiting and diarrhea was reported with FFX. FFX and GN show an equivalent efficacy but different safety profiles in the first-line therapy of metastatic pancreatic cancer. Searching for reliable predictive biomarkers is advised in order to improve therapeutic strategy in metastatic PC.
Keyphrases
- locally advanced
- squamous cell carcinoma
- free survival
- small cell lung cancer
- phase iii
- study protocol
- clinical trial
- end stage renal disease
- phase ii
- chronic kidney disease
- rectal cancer
- ejection fraction
- electronic health record
- newly diagnosed
- chemotherapy induced
- radiation therapy
- stem cells
- advanced non small cell lung cancer
- big data
- oxidative stress
- prognostic factors
- mesenchymal stem cells
- peritoneal dialysis
- cross sectional
- cell therapy
- iron deficiency
- machine learning
- data analysis
- epidermal growth factor receptor
- deep learning
- abdominal pain