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NCT07739017 CT-179 Recurrent Glioblastoma Clinical Landscape Report 2026: Design, Endpoints, Sponsor and Readout Outlook

5 August 2026
8 min read

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Turn a newly registered trial into a decision-ready clinical landscape. This report examines NCT07739017 using PatSnap Clinical Trials MCP for protocol design and endpoint evidence, with Drug & Asset MCP and Company & Deal Intelligence MCP used as the companion asset and sponsor enrichment workflow. Explore PatSnap MCP Servers to reproduce the research sequence inside an AI workflow.

MCP evidence snapshot: 5 August 2026. Trial records, recruitment status and projected dates can change after the snapshot and should be rechecked before operational decisions.

Why NCT07739017 is a hot trial to watch

Recurrent Glioblastoma is being segmented by mechanism, treatment setting, geography and endpoint architecture. NCT07739017 is notable because it evaluates CT-179 in a Phase 1 design sponsored by Olivia Newton-John Cancer Research Institute. The main development question is whether the protocol can translate its rationale into a clinically interpretable and operationally credible readout.

Trial landscape snapshot

FieldIndexed detail
RegistrationNCT07739017
Official titleOLIG2 Inhibitor CT-179 for Recurrent and Newly-diagnosed Glioblastoma (OPAL)
Phase / statusPhase 1 / Not yet recruiting
InterventionCT-179
SponsorOlivia Newton-John Cancer Research Institute
GeographyAustralia
Enrollment[object Object]
Primary endpointDetermine Maximum Tolerated Dose (MTD) in TA1 in patients with rGBM
Endpoint time frameFrom first dose of CT-179 through the end of the 28-day DLT assessment period (Day 28) for each cohort.
Primary completion / readout proxy[object Object]

Protocol design and endpoint interpretation

This is a first-in-human Phase 1 two-part, open-label, multi-center, dose escalation study designed to evaluate the safety, tolerability, pharmacokinetics (PK), pharmacodynamics (PD) and maximum tolerated dose (MTD) of CT-179 in patients with recurrent glioblastoma and newly diagnosed MGMT-unmethylated glioblastoma who are eligible to receive radiation therapy following surgery, and to establish the recommended Phase 2 dose.

Allocation is Non-Randomized, masking is None (Open Label), and the intervention model is Sequential Assignment. Planned enrollment of [object Object] participants across Australia shapes statistical precision, execution risk and external validity. Interpretation should account for baseline risk, prior therapy, assessment schedule, missing-data handling and clinical relevance—not only statistical significance.

  • Determine Maximum Tolerated Dose (MTD) in TA1 in patients with rGBM (From first dose of CT-179 through the end of the 28-day DLT assessment period (Day 28) for each cohort.) — The MTD will be the highest tested dose of CT-179 at which protocol specified number of patients experience a DLT or the MAD at the highest administered dose in the absence of a DLT.
  • Determine MTD/RP2D in TA2 in patients with newly diagnosed MGMT-unmethylated GBM (From first dose of CT-179 through 4 weeks after completion of radiotherapy (up to 12 weeks).) — The MTD will be the highest dose of CT-179 at which protocol specified number of patients experience a DLT or the MAD at the highest administered dose in the absence of a DLT.

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Readout outlook and evidence gap

The current protocol points to [object Object] as the best available readout proxy. Because this is an active or newly posted study, a trial-specific result citation is not included until a normalized clinical-trial-result record becomes available. That gap is itself operationally important: teams should monitor first result indexing, conference abstracts, protocol amendments and changes to the primary-completion date.

Build a living trial monitor: connect to PatSnap MCP Servers and track recruitment, endpoint revisions, projected readouts and new result records without manually reconciling separate databases.

Asset and sponsor context

Drug & Asset MCP profile: CT-179 is indexed as No normalized modality returned, with target No normalized target returned, mechanism No normalized mechanism returned, and global highest development status No normalized global status returned.

Company & Deal Intelligence MCP profile: Olivia Newton-John Cancer Research Institute is resolved to a normalized organization record in Australia. The organization workflow adds identity, location, portfolio and partnering context where available.

The sponsor profile matters because scientific rationale alone does not determine development value. Manufacturing readiness, portfolio fit, geographic reach, partnering capacity and the ability to fund confirmatory development can determine whether a positive signal becomes a competitive asset.

White space around this program

  • Sharper patient selection: prospective biomarker or phenotype definitions that identify who is most likely to benefit.
  • Clinically interpretable endpoints: outcomes connecting activity with function, symptoms, survival or treatment burden.
  • Comparator relevance: evidence against the most decision-relevant contemporary standard of care.
  • Broader external validity: evidence across additional geographies, demographic groups and real-world settings.
  • Operational differentiation: a development path that closes the readout gap without sacrificing safety or durability.

What to monitor next

Monitor recruitment, enrollment changes, protocol amendments, endpoint hierarchy, primary-completion timing, first result indexing, asset ownership and sponsor partnerships. A change in endpoint, population or ownership can alter the probability of success before a headline data release.

Bottom line

NCT07739017 provides a focused lens on Recurrent Glioblastoma development. Its value will be determined by whether CT-179 can convert the current Phase 1 design into evidence that is clinically meaningful, operationally credible and differentiated from competing programs.

Ready to reproduce this analysis? Explore PatSnap MCP Servers and combine Clinical Trials, Drug & Asset, and Company & Deal Intelligence as reusable building blocks for trial monitoring and SEO-ready clinical reports.

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