Precision Oncology Trial Puts Off-Label Prescribing to the Test

Results from the DRUP trial suggest that off-label targeted cancer therapies produce meaningful benefit primarily in tumors with well-validated biomarkers, such as MSI-H, echoing findings from prior basket studies. The study also demonstrates how systematically collected real-world outcomes data can inform reimbursement decisions and help determine which tumor-agnostic strategies are both clinically useful and economically justified.

Publication Details

Journal
Cancer Discovery
Published
2026-04-17
DOI
https://doi.org/10.1158/2159-8290.cd-nw2026-0039
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Precision Oncology Trial Puts Off-Label Prescribing to the Test

Cancer Discovery
Statistical Methods in Clinical Trials
article

Precision Oncology Trial Puts Off-Label Prescribing to the Test

article en

Abstract

Results from the DRUP trial suggest that off-label targeted cancer therapies produce meaningful benefit primarily in tumors with well-validated biomarkers, such as MSI-H, echoing findings from prior basket studies. The study also demonstrates how systematically collected real-world outcomes data can inform reimbursement decisions and help determine which tumor-agnostic strategies are both clinically useful and economically justified.

Cancer Discovery
Openalex Percentile: Top 4%
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.