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NCI9673 (Part B): reconstructed Kaplan–Meier curves

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

NCI9673 (Part B): ETCTN Randomized Phase II Study of Nivolumab With or Without Ipilimumab in Refractory, Metastatic Squamous Cell Carcinoma of the Anal Canal. Curves rebuilt as patient-level data (Guyot 2012) and checked against the statistics printed on the figure.

PublicationJ Clin Oncol. 2026 Jan 7;44(6):497–507. doi: 10.1200/JCO-25-00929
DOI10.1200/JCO-25-00929
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Source licenceFigure published under CC BY 4.0

Progression-free survival

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: Nivo+Ipi 3.9 months; Nivo 2.8 months. Survival at 18 months: Nivo+Ipi 21%; Nivo 13%. Hazard ratio Nivo+Ipi vs Nivo 0.88 (95% CI 0.57–1.34).

0%20%40%60%80%100%0612182430364248MonthsNivo+IpiNivo
ArmNEventsMedian (Months)
Nivo+Ipi48423.9
Nivo52462.8

Landmark survival (reconstructed)

TimeNivo+IpiNivo
6 mo33.3%17.3%
12 mo27.1%13.5%
18 mo20.8%13.5%
24 mo14.1%11.5%
36 mo11.7%—
48 mo11.7%—

Checks against the published figure

Download pseudo-IPD (CSV)

Overall survival

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

Reconstructed from the published curve. Median: Nivo+Ipi 19.8 months; Nivo 15.7 months. Survival at 18 months: Nivo+Ipi 54%; Nivo 46%. Hazard ratio Nivo+Ipi vs Nivo 0.97 (95% CI 0.58–1.63).

0%20%40%60%80%100%0612182430364248MonthsNivo+IpiNivo
ArmNEventsMedian (Months)
Nivo+Ipi483019.8
Nivo522815.7

Landmark survival (reconstructed)

TimeNivo+IpiNivo
6 mo78.7%72.9%
12 mo72.0%59.9%
18 mo54.4%45.6%
24 mo31.9%37.1%
36 mo28.7%31.8%
48 mo21.5%15.9%

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/nci9673-part-b-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/nci9673-part-b-1.csv")
for arm, g in d.groupby("arm"):
    KaplanMeierFitter().fit(g.time, g.event, label=arm).plot_survival_function()

Suggested citation: J Clin Oncol. 2026 Jan 7;44(6):497–507. doi: 10.1200/JCO-25-00929 doi:10.1200/JCO-25-00929. Reconstructed data: TrialCurve (2026), https://trialcurve.com/trials/nci9673-part-b

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