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TROIKA (final analysis): reconstructed Kaplan–Meier curves

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

Final analysis of the phase 3 randomized clinical trial comparing HD201 vs. referent trastuzumab in patients with ERBB2-positive breast cancer treated in the neoadjuvant setting. Curves rebuilt as patient-level data (Guyot 2012) and checked against the statistics printed on the figure.

PublicationBMC Cancer. 2023 Jan 31;23:112. doi: 10.1186/s12885-023-10574-2
DOI10.1186/s12885-023-10574-2
RegistryNCT03013504
PhasePhase 3
ConditionsHER2 Positive Breast Cancer
InterventionsHD201, Herceptin, Docetaxel, Epirubicin, Cyclophosphamide
SponsorPrestige Biopharma Limited
Enrolment503
Source licenceFigure published under CC BY 4.0

Event free survival — Per protocol set, by study arm

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

Reconstructed from the published curve. Median: HD201 not reached; Referent Trastuzumab not reached. Survival at 12 months: HD201 96%; Referent Trastuzumab 97%. Hazard ratio HD201 vs Referent Trastuzumab 0.95 (95% CI 0.59–1.53).

0%20%40%60%80%100%061218243036MonthsHD201Referent Trastuzumab
ArmNEventsMedian (Months)
HD20123833not reached
Referent Trastuzumab23635not reached

Landmark survival (reconstructed)

TimeHD201Referent Trastuzumab
6 mo99.2%99.2%
12 mo95.8%97.5%
18 mo94.1%94.0%
24 mo89.7%89.7%
36 mo85.5%84.8%

Checks against the published figure

Download pseudo-IPD (CSV)

Event free survival — Per protocol set, by total pathological complete response (tpCR) status

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

Reconstructed from the published curve. Median: With tpCR not reached; Without tpCR not reached. Survival at 12 months: With tpCR 99%; Without tpCR 94%. Hazard ratio With tpCR vs Without tpCR 0.56 (95% CI 0.34–0.94).

0%20%40%60%80%100%061218243036MonthsWith tpCRWithout tpCR
ArmNEventsMedian (Months)
With tpCR22223not reached
Without tpCR25243not reached

Landmark survival (reconstructed)

TimeWith tpCRWithout tpCR
6 mo99.5%98.4%
12 mo99.1%94.4%
18 mo95.9%90.4%
24 mo92.7%87.0%
36 mo89.3%82.3%

Checks against the published figure

Download pseudo-IPD (CSV)

Event free survival — Per protocol set, by breast pathological complete response (bpCR) status

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

Reconstructed from the published curve. Median: With bpCR not reached; Without bpCR not reached. Survival at 12 months: With bpCR 99%; Without bpCR 95%. Hazard ratio With bpCR vs Without bpCR 0.52 (95% CI 0.31–0.88).

0%20%40%60%80%100%061218243036MonthsWith bpCRWithout bpCR
ArmNEventsMedian (Months)
With bpCR25323not reached
Without bpCR22136not reached

Landmark survival (reconstructed)

TimeWith bpCRWithout bpCR
6 mo99.6%99.1%
12 mo99.2%94.6%
18 mo98.0%90.4%
24 mo93.5%87.5%
36 mo90.5%83.1%

Checks against the published figure

Download pseudo-IPD (CSV)

Event free survival — Modified full analysis set, by study arm

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

Reconstructed from the published curve. Median: HD201 not reached; Referent Trastuzumab not reached. Survival at 12 months: HD201 95%; Referent Trastuzumab 98%. Hazard ratio Referent Trastuzumab vs HD201 0.96 (95% CI 0.61–1.52).

0%20%40%60%80%100%061218243036MonthsHD201Referent Trastuzumab
ArmNEventsMedian (Months)
HD20125037not reached
Referent Trastuzumab25237not reached

Landmark survival (reconstructed)

TimeHD201Referent Trastuzumab
6 mo98.4%99.6%
12 mo95.1%98.4%
18 mo92.2%95.1%
24 mo88.8%90.0%
36 mo84.3%84.4%

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

Suggested citation: BMC Cancer. 2023 Jan 31;23:112. doi: 10.1186/s12885-023-10574-2 doi:10.1186/s12885-023-10574-2. Reconstructed data: TrialCurve (2026), https://trialcurve.com/trials/troika-final-analysis

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