NCT07640932 Lurbinectedin Extensive stage Small Cell Lung Cancer Clinical Landscape Report 2026: Design, Endpoints, Sponsor and Readout Outlook
Turn a newly registered trial into a decision-ready clinical landscape. This report examines NCT07640932 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: 7 August 2026. Trial records, recruitment status and projected dates can change after the snapshot and should be rechecked before operational decisions.
Why NCT07640932 is a hot trial to watch
Extensive stage Small Cell Lung Cancer is being segmented by mechanism, treatment setting, geography and endpoint architecture. NCT07640932 is notable because it evaluates Lurbinectedin in a Phase 2 design sponsored by Yonsei University. The main development question is whether the protocol can translate its rationale into a clinically interpretable and operationally credible readout.
Trial landscape snapshot
| Field | Indexed detail |
|---|---|
| Registration | NCT07640932 |
| Official title | Lurbinectedin Plus Paclitaxel Versus Paclitaxel in Patients With Previously Treated Small Cell Lung Cancer (LUPINE) |
| Phase / status | Phase 2 / Not yet recruiting |
| Intervention | Lurbinectedin |
| Sponsor | Yonsei University |
| Geography | South Korea |
| Enrollment | [object Object] |
| Primary endpoint | Objective Response Rate (ORR) |
| Endpoint time frame | End of trial(approximately 3years) |
| Primary completion / readout proxy | [object Object] |
Protocol design and endpoint interpretation
This clinical trial is designed to compare and evaluate the efficacy and safety of the combination therapy of Lurbinectedin plus Paclitaxel (Combination Arm) versus Paclitaxel monotherapy (Monotherapy Arm) in patients with extensive-stage small-cell lung cancer whose disease has progressed after first-line chemotherapy.
Allocation is Randomized, masking is None (Open Label), and the intervention model is Parallel Assignment. Planned enrollment of [object Object] participants across South Korea 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 (ORR) (End of trial(approximately 3years)) — ORR is defined as the percentage of test subjects whose confirmed response was (RECIST 1.1) at least one full response (Complete Response, CR) or partial response (Partial Response, PR) before evidence of disease progression appears. The objective response rate is summarized for groups that can be evaluated for validity. The objective response rate is presented with a 95% confidence interval on both sides (assuming a
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: Lurbinectedin 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: Yonsei University is resolved to a normalized organization record in South Korea. 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
NCT07640932 provides a focused lens on Extensive stage Small Cell Lung Cancer development. Its value will be determined by whether Lurbinectedin 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.
