The logistic and Cox regression models were used to evaluate the association of TILs density and PD-L1 expression with treatment efficacy in terms of ORR, CBR (with SD ≥ 24 weeks) and PFS according to the RECIST 1.1.
Metastatic Tumor TILs and PD-L1 Assessment
The logistic and Cox regression models were used to evaluate the association of TILs density and PD-L1 expression with treatment efficacy in terms of ORR, CBR (with SD ≥ 24 weeks) and PFS according to the RECIST 1.1.
Corresponding Organization : Universidad de Sevilla
Other organizations : Hospital Universitario Ramón y Cajal, Hospital Universitario de Canarias, Hospital Universitario Virgen de la Arrixaca, Institut Català d'Oncologia, Hospital Clínico San Carlos, Hospital Clínico Universitario Lozano Blesa, Clinica Universidad de Navarra, Navarre Institute of Health Research, Centro Oncológico de Galicia, Hospital La Luz, Universidad Europea de Madrid, Centro de Investigación Biomédica en Red de Cáncer, Instituto de Salud Carlos III, Hospital Universitario Fundación Jiménez Díaz
Variable analysis
- TILs density (cut-offs explored: ≥ 5%, ≥ 10%, and ≥ 20%)
- PD-L1 expression (cut-offs explored: CPS ≥ 1, ≥ 5, ≥ 10, and ≥ 20)
- Treatment efficacy in terms of ORR (Objective Response Rate)
- CBR (Clinical Benefit Rate with SD ≥ 24 weeks)
- PFS (Progression-Free Survival)
- Not explicitly mentioned
- Positive control: Not specified
- Negative control: Not specified
Annotations
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