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Updated: Jan 21, 2026

Using 22C3 Anti-PD-L1 Antibody Concentrate on Biopsy and Cytology Samples from Non-small Cell Lung Cancer Patients
Published on: September 25, 2018
Predictive value of PD-L1 and other clinical factors for chemoimmunotherapy in advanced non-small-cell lung cancer
Rachel Woodford1, Yanni Loh1, Joanna Lee1
1Cancer Care Centre, St George Hospital, Kogarah, Sydney, New South Wales 2217, Australia.
Abstract:
We investigate if PD-L1 expression and other clinical characteristics predict chemoimmunotherapy (CIT) benefits versus chemotherapy in advanced non-small-cell lung cancer. We performed a meta-analysis of randomized controlled trials of CIT versus chemotherapy identified through electronic searches. In seven randomized controlled trials (n = 4170), CIT prolonged progression-free survival over chemotherapy (hazard ratio [HR]: 0.62; 95% CI: 0.58-0.67; p < 0.00001). The treatment benefits differed between PD-L1-high (HR: 0.41; 95% CI: 0.34-0.49) and PD-L1 low (HR: 0.63; 95% CI: 0.55-0.72; interaction-p = 0.00002) and PD-L1-high and PD-L1-negative (HR: 0.72; 95% CI: 0.65-0.80; interaction-p < 0.00001). Similar benefits were observed regardless of gender, EGFR/ALK status and histological subtype. PD-L1 status is predictive of CIT benefit and may assist patient selection and design of future trials.
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Transcription Factors
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.