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NCT07507526 Tunlametinib stomach adenocarcinoma Clinical Landscape Report 2026: Design, Endpoints, Sponsor and Readout Outlook

26 August 2026
8 min read

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Turn a newly registered trial into a decision-ready clinical landscape. This report examines NCT07507526 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: 26 August 2026. Trial records, recruitment status and projected dates can change after the snapshot and should be rechecked before operational decisions.

Why NCT07507526 is a hot trial to watch

stomach adenocarcinoma is being segmented by mechanism, treatment setting, geography and endpoint architecture. NCT07507526 is notable because it evaluates Tunlametinib in a Phase 2 design sponsored by Sun Yat-Sen University. 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
RegistrationNCT07507526
Official titleA Study of Disitamab Vedotin, Tunlametinib, and PD-1 Antibody for Advanced Gastric Cancer (DTP-HER2)
Phase / statusPhase 2 / Not yet recruiting
InterventionTunlametinib
SponsorSun Yat-Sen University
GeographyChina
Enrollment[object Object]
Primary endpointObjective response rate
Endpoint time frameUp to approximately 24 months
Primary completion / readout proxy[object Object]

Protocol design and endpoint interpretation

The goal of this clinical trial is to learn if the combination of disitamab vedotin, tunlametinib, and a PD-1 antibody works to treat HER2-overexpressing advanced gastric cancer in patients who have already received at least two lines of prior therapy. It will also learn about the safety of this combination therapy. The main questions it aims to answer are: What is the objective response rate (tumor shrinkage) in participants receiving this combination? What medical problems (side effects) do participants have when taking this combination? Researchers will evaluate the efficacy and safety of disitamab vedotin combined with tunlametinib and a PD-1 antibody in patients with HER2-overexpressing advanced gastric cancer who have failed at least two lines of standard treatment. Participants will: Receive disitamab vedotin intravenously every 2 weeks and a PD-1 antibody intravenously once every 6 weeks. Take tunlametinib orally every 12 hours.

Allocation is N/A, masking is None (Open Label), and the intervention model is Single Group Assignment. Planned enrollment of [object Object] participants across China 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.

  • Objective response rate (Up to approximately 24 months) — Objective response rate is defined as the proportion of participants who achieve a best overall response of either complete response (CR) or partial response (PR) according to irRECIST (immune-related Response Evaluation Criteria in Solid Tumors) criteria.

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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: Tunlametinib 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: Sun Yat-Sen University is resolved to a normalized organization record in Guangzhou, China. 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

NCT07507526 provides a focused lens on stomach adenocarcinoma development. Its value will be determined by whether Tunlametinib can convert the current Phase 2 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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