Latest Hotspot

NCT07611110 FPI-2265 PSMA-Positive Prostatic Cancer Clinical Landscape Report 2026: Design, Endpoints, Sponsor and Readout Outlook

22 July 2026
8 min read

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Turn a newly registered trial into a decision-ready clinical landscape. This report examines NCT07611110 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: 22 July 2026. Trial records, recruitment status and projected dates can change after the snapshot and should be rechecked before operational decisions.

Why NCT07611110 is a hot trial to watch

PSMA-Positive Prostatic Cancer is being segmented by mechanism, treatment setting, geography and endpoint architecture. NCT07611110 is notable because it evaluates FPI-2265 in a Phase 3 design sponsored by AstraZeneca PLC. 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
RegistrationNCT07611110
Official titleAZD2265 Compared With Standard of Care in PSMA-positive Metastatic Castration-resistant Prostate Cancer (VECTRA-01) (VECTRA-01)
Phase / statusPhase 3 / Recruiting
InterventionFPI-2265
SponsorAstraZeneca PLC
GeographyUnited States, Japan, United Kingdom, Thailand, Spain, India, Canada, Sweden, South Korea, Austria, China, Turkey, Taiwan Province, Brazil, France, Australia, Germany
Enrollment[object Object]
Primary endpointRadiographic Progression-Free Survival (rPFS)
Endpoint time frameFrom randomization until first radiographic progression per RECIST 1.1/PCWG3 by BICR, or death from any cause, whichever occurs first (up to approximately 33 months)
Primary completion / readout proxy[object Object]

Protocol design and endpoint interpretation

The intention of the study is to demonstrate superiority of AZD2265 relative to standard of care treatments by assessment of radiographic progression-free survival (rPFS) and overall survival (OS) in participants with mCRPC.

Allocation is Randomized, masking is Single, and the intervention model is Parallel Assignment. Planned enrollment of [object Object] participants across United States, Japan, United Kingdom, Thailand, Spain, India, Canada, Sweden, South Korea, Austria, China, Turkey, Taiwan Province, Brazil, France, Australia, Germany 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.

  • Radiographic Progression-Free Survival (rPFS) (From randomization until first radiographic progression per RECIST 1.1/PCWG3 by BICR, or death from any cause, whichever occurs first (up to approximately 33 months)) — rPFS is defined as the time from randomisation to radiographic progression, as assessed by the BICR per RECIST 1.1 (soft tissue) and/or PCWG3 criteria (bone), or death due to any cause.
  • Overall Survival (OS) (From randomization until death from any cause (up to approximately 33 months)) — OS is defined as the length of time from randomisation until the date of death due to any cause.

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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: FPI-2265 is indexed as Radionuclide Drug Conjugates (RDC), Therapeutic radiopharmaceuticals, with target PSMA, mechanism PSMA modulators, and global highest development status Phase 3.

Company & Deal Intelligence MCP profile: AstraZeneca PLC is resolved to a normalized organization record in United Kingdom. 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

NCT07611110 provides a focused lens on PSMA-Positive Prostatic Cancer development. Its value will be determined by whether FPI-2265 can convert the current Phase 3 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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