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CA209-7AL: reconstructed Kaplan–Meier curves

Updated 2026-09-25 · reconstructed by TrialCurve from a CC BY-licensed publication

Consolidative nivolumab versus observation in unresectable stage III non-small cell lung cancer patients following neoadjuvant nivolumab plus chemotherapy and concurrent chemoradiotherapy (CA209-7AL): a randomized clinical trial. Curves rebuilt as patient-level data (Guyot 2012) and checked against the statistics printed on the figure.

PublicationSignal Transduct Target Ther. 2025 Sep 29;10:317. doi: 10.1038/s41392-025-02408-3
DOI10.1038/s41392-025-02408-3
RegistryNCT04085250
PhasePhase 2
ConditionsStage III Non-small-cell Lung Cancer
InterventionsNeoadjuvant therapy, Chemotherapy concurrent with radiotherapy, Radiotherapy, Nivolumab, Observation
SponsorSun Yat-sen University
Enrolment264
Source licenceFigure published under CC BY 4.0

Progression-free survival — Randomized CA209-7AL (n = 172) and RWS-cICI cohort (n = 65)

From figure panel a · validated against the values printed on the figure · curve source: pixel measurement confirmed by vision model

Reconstructed from the published curve. Median: Consolidation group not reached; RWS-cICI cohort 15.4 months; Observation group 12.8 months. Survival at 12 months: Consolidation group 73%; RWS-cICI cohort 63%; Observation group 54%. Hazard ratio Consolidation group vs Observation group 0.48 (95% CI 0.30–0.76).

0%20%40%60%80%100%06121824303642MonthsConsolidation groupRWS-cICI cohortObservation group
ArmNEventsMedian (Months)
Consolidation group8627not reached
RWS-cICI cohort653515.4
Observation group865212.8

Landmark survival (reconstructed)

TimeConsolidation groupRWS-cICI cohortObservation group
6 mo94.7%87.1%81.8%
12 mo72.6%62.6%54.1%
18 mo65.0%41.6%42.4%
24 mo53.1%39.2%33.7%
36 mo53.1%39.2%31.5%

Checks against the published figure

Download pseudo-IPD (CSV)

About these data

Pseudo-IPD reproduces the published curves and numbers at risk; the rows are not real patients. Cite the publication (DOI above) and TrialCurve. The source figure is © the authors (CC BY 4.0); the charts here are redrawn from the reconstruction.

Load these data in R or Python
# R
library(survival)
d <- read.csv("https://trialcurve.com/data/trials/ca209-7al-1.csv")
survfit(Surv(time, event) ~ arm, data = d)
coxph(Surv(time, event) ~ arm, data = d)

# Python
import pandas as pd
from lifelines import KaplanMeierFitter
d = pd.read_csv("https://trialcurve.com/data/trials/ca209-7al-1.csv")
for arm, g in d.groupby("arm"):
    KaplanMeierFitter().fit(g.time, g.event, label=arm).plot_survival_function()

Suggested citation: Signal Transduct Target Ther. 2025 Sep 29;10:317. doi: 10.1038/s41392-025-02408-3 doi:10.1038/s41392-025-02408-3. Reconstructed data: TrialCurve (2026), https://trialcurve.com/trials/ca209-7al

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