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KSCC1301: reconstructed Kaplan–Meier curves

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

Randomized phase II study comparing the efficacy and safety of SOX versus mFOLFOX6 as neoadjuvant chemotherapy without radiotherapy for locally advanced rectal cancer (KSCC1301). Curves rebuilt as patient-level data (Guyot 2012) and checked against the statistics printed on the figure.

PublicationBMC Cancer. 2021 Jan 5;21:23. doi: 10.1186/s12885-020-07766-5
DOI10.1186/s12885-020-07766-5
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Source licenceFigure published under CC BY 4.0

Disease-free survival — Full analysis set

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

Reconstructed from the published curve. Median: SOX not reached; mFOLFOX6 not reached. Survival at 18 months: SOX 85%; mFOLFOX6 82%. Hazard ratio mFOLFOX6 vs SOX 0.78 (95% CI 0.40–1.53).

0%20%40%60%80%100%061218243036424854MonthsSOXmFOLFOX6
ArmNEventsMedian (Months)
SOX5320not reached
mFOLFOX65015not reached

Landmark survival (reconstructed)

TimeSOXmFOLFOX6
6 mo100.0%100.0%
12 mo88.7%91.8%
18 mo84.9%81.6%
24 mo81.1%77.6%
36 mo69.1%73.4%
48 mo54.8%68.1%

Checks against the published figure

Download pseudo-IPD (CSV)

Overall survival — Full analysis set

From figure panel b · validated against the values printed on the figure · curve source: vision model

Reconstructed from the published curve. Median: SOX not reached; mFOLFOX6 not reached. Survival at 18 months: SOX 96%; mFOLFOX6 96%. Hazard ratio SOX vs mFOLFOX6 0.77 (95% CI 0.21–2.86).

0%20%40%60%80%100%061218243036424854MonthsSOXmFOLFOX6
ArmNEventsMedian (Months)
SOX534not reached
mFOLFOX6505not reached

Landmark survival (reconstructed)

TimeSOXmFOLFOX6
6 mo100.0%100.0%
12 mo100.0%100.0%
18 mo96.2%95.9%
24 mo96.2%91.8%
36 mo92.1%91.8%
48 mo92.1%87.5%

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/kscc1301-1.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/kscc1301-1.csv")
for arm, g in d.groupby("arm"):
    KaplanMeierFitter().fit(g.time, g.event, label=arm).plot_survival_function()

Suggested citation: BMC Cancer. 2021 Jan 5;21:23. doi: 10.1186/s12885-020-07766-5 doi:10.1186/s12885-020-07766-5. Reconstructed data: TrialCurve (2026), https://trialcurve.com/trials/kscc1301

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