Time-to-progression ratio as a potential study endpoint in early-phase oncology trials: pooled analysis of phase II trials from the Australian MoST program

Purpose Time-to-progression ratio (TTPr) measures intra-patient treatment benefit by comparing disease control on study treatment with that of the immediately preceding therapy. Its prognostic validity in the immune checkpoint inhibitor (ICI) era remains uncertain.Methods We performed a pooled patient-level analysis of eight phase II trials. Associations between TTPr, TTP on prior therapy (TTP1), and on-study TTP (TTP2/ PFS), objective response rate (ORR), with overall survival (OS) were evaluated using Cox regression. Landmark analyses at 6-months were used to mitigate guarantee-time bias.Results Among 246 evaluable participants, median TTP1 and TTP2 were 3.9 and 2.1 months, respectively, with poor correlation (r = 0.02). TTPr was not associated with OS (TTPr ≥1.3 vs <1.3, HR 0.85, 95% CI 0.57–1.26). In contrast, TTP2 and ORR were strongly prognostic (TTP2 ≥2.1 months vs <2.1 months: HR 0.51, 95% CI 0.35–0.76, p < 0.001); (response vs non-response: HR 0.19, 95% CI 0.07–0.52, p = 0.001) and remained independently associated with OS in multivariable analyses. Findings were consistent across ICI and non-ICI trials.Conclusions TTPr is not a robust prognostic measure in platform trials. Although this raises concern regarding its validity as a surrogate endpoint for OS, formal evaluation requires randomized treatment comparisons.

Authors

Institutions

Publication Details

Journal
Future Oncology
Published
2026-06-16
DOI
https://doi.org/10.1080/14796694.2026.2688570
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Time-to-progression ratio as a potential study endpoint in early-phase oncology trials: pooled analysis of phase II trials from the Australian MoST program

Sarah Chinchen, Ho Wai Derrick Siu, Frank Lin, Subotheni Thavaneswaran et al.
Future Oncology
Statistical Methods in Clinical Trials
article

Time-to-progression ratio as a potential study endpoint in early-phase oncology trials: pooled analysis of phase II trials from the Australian MoST program

Sarah Chinchen, Ho Wai Derrick Siu, Frank Lin, Subotheni Thavaneswaran, David M. Thomas, Chee Khoon Lee, Robert John Simes, Mandy L. Ballinger, David Espinoza
article en

Abstract

Purpose Time-to-progression ratio (TTPr) measures intra-patient treatment benefit by comparing disease control on study treatment with that of the immediately preceding therapy. Its prognostic validity in the immune checkpoint inhibitor (ICI) era remains uncertain.Methods We performed a pooled patient-level analysis of eight phase II trials. Associations between TTPr, TTP on prior therapy (TTP1), and on-study TTP (TTP2/ PFS), objective response rate (ORR), with overall survival (OS) were evaluated using Cox regression. Landmark analyses at 6-months were used to mitigate guarantee-time bias.Results Among 246 evaluable participants, median TTP1 and TTP2 were 3.9 and 2.1 months, respectively, with poor correlation (r = 0.02). TTPr was not associated with OS (TTPr ≥1.3 vs <1.3, HR 0.85, 95% CI 0.57–1.26). In contrast, TTP2 and ORR were strongly prognostic (TTP2 ≥2.1 months vs <2.1 months: HR 0.51, 95% CI 0.35–0.76, p < 0.001); (response vs non-response: HR 0.19, 95% CI 0.07–0.52, p = 0.001) and remained independently associated with OS in multivariable analyses. Findings were consistent across ICI and non-ICI trials.Conclusions TTPr is not a robust prognostic measure in platform trials. Although this raises concern regarding its validity as a surrogate endpoint for OS, formal evaluation requires randomized treatment comparisons.

Future Oncology
The University of Sydney (AU), St. Vincent's Birmingham (US), UNSW Sydney (AU), St Vincent's Hospital Melbourne (AU), Saint Vincent's Catholic Medical Center (US), The Catholic University of Korea St. Vincent's Hospital (KR), St. George Hospital (IN), Illawarra Women's Health Centre (AU)
Faculty of Medicine and Health, University of Sydney
Openalex Percentile: Top 5%
Statistical Methods in Clinical Trials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.