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CirCe01: reconstructed Kaplan–Meier curves

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

Clinical utility of circulating tumour cell-based monitoring of late-line chemotherapy for metastatic breast cancer: the randomised CirCe01 trial. Curves rebuilt as patient-level data (Guyot 2012) and checked against the statistics printed on the figure.

PublicationBr J Cancer. 2021 Jan 21;124(7):1207–13. doi: 10.1038/s41416-020-01227-3
DOI10.1038/s41416-020-01227-3
RegistryNCT01349842
PhasePhase 3
ConditionsBreast Cancer Ductal Infiltrating Metastatic
InterventionsBlood sampling, Usual clinical and radiological criteria
SponsorInstitut Curie
Enrolment265
Source licenceFigure published under CC BY 4.0

Progression-free survival

From figure panel a · curves cross-checked by two independent readings · curve source: pixel measurement confirmed by vision model

Reconstructed from the published curve. Median: Arm A 4.0 months; Arm B 3.6 months. Survival at 6 months: Arm A 31%; Arm B 30%. Hazard ratio Arm A vs Arm B 0.91 (95% CI 0.61–1.36).

0%20%40%60%80%100%036912151821MonthsArm AArm B
ArmNEventsMedian (Months)
Arm A51494.0
Arm B50493.6

Landmark survival (reconstructed)

TimeArm AArm B
6 mo31.4%30.0%
12 mo13.1%10.0%
18 mo4.4%6.0%

Download pseudo-IPD (CSV)

Overall survival

From figure panel b · curves cross-checked by two independent readings · curve source: pixel measurement confirmed by vision model

Reconstructed from the published curve. Median: Arm A 8.8 months; Arm B 11.2 months. Survival at 12 months: Arm A 43%; Arm B 44%. Hazard ratio Arm A vs Arm B 0.91 (95% CI 0.61–1.37).

0%20%40%60%80%100%061218243036MonthsArm AArm B
ArmNEventsMedian (Months)
Arm A51488.8
Arm B504911.2

Landmark survival (reconstructed)

TimeArm AArm B
6 mo56.9%74.0%
12 mo42.9%44.0%
18 mo28.6%30.0%
24 mo24.5%16.0%
36 mo6.1%2.0%

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/circe01-1.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/circe01-1.csv")
for arm, g in d.groupby("arm"):
    KaplanMeierFitter().fit(g.time, g.event, label=arm).plot_survival_function()

Suggested citation: Br J Cancer. 2021 Jan 21;124(7):1207–13. doi: 10.1038/s41416-020-01227-3 doi:10.1038/s41416-020-01227-3. Reconstructed data: TrialCurve (2026), https://trialcurve.com/trials/circe01

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