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NCT07668752 GFH-375 Locally Advanced Lung Non-Small Cell Carcinoma Clinical Landscape Report 2026: Design, Endpoints, Sponsor and Readout Outlook

21 July 2026
8 min read

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Turn a newly registered trial into a decision-ready landscape. This focused report examines NCT07668752—A Study to Evaluate GFH375 Versus Docetaxel in Participants With Non-Small Cell Lung Cancer With KRAS G12D Mutation—using PatSnap Clinical Trials MCP for protocol design and endpoint evidence, Drug & Asset MCP for mechanism and development context, and Company & Deal Intelligence MCP for sponsor background. Explore PatSnap MCP Servers to reproduce the workflow inside an AI research process.

MCP evidence snapshot: 20 July 2026; publication date: 20 July 2026. Trial records can change after the snapshot and should be rechecked before operational decisions.

Why NCT07668752 is a hot trial to watch

Locally Advanced Lung Non-Small Cell Carcinoma is increasingly segmented by mechanism, biomarker, treatment setting, geography and endpoint architecture. NCT07668752 is notable because it evaluates GFH-375 in a Phase 3 design while ORR is the proportion of participants whose best response is either complete response (CR) or partial response (PR) per RECIST v1.1 assessed by BICR. serves as the main decision variable. The critical question is whether the protocol can convert its rationale into a clinically interpretable and operationally credible readout.

PatSnap Clinical Trials MCP makes protocol fields machine-readable, while the companion asset and organization servers add development-status, target and sponsor context.

Trial landscape snapshot

FieldIndexed detail
RegistrationNCT07668752
Official titleA Study to Evaluate GFH375 Versus Docetaxel in Participants With Non-Small Cell Lung Cancer With KRAS G12D Mutation
Phase / statusPhase 3 / Not yet recruiting
InterventionGFH-375, GFH375, Docetaxel
SponsorGenfleet Therapeutics (Shanghai), Inc.
CollaboratorsNot reported
GeographyChina
Enrollment300
Primary endpointORR is the proportion of participants whose best response is either complete response (CR) or partial response (PR) per RECIST v1.1 assessed by BICR.
Endpoint time frameFrom the first dose until the date of first documented CR or PR, assessed up to 24 months
Primary completion / readout proxy[object Object]

Design and endpoint interpretation

The phase label is only the starting point. Allocation is Randomized, masking is None (Open Label), and the intervention model is Parallel Assignment. Planned enrollment of 300 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.

  • Primary: ORR is the proportion of participants whose best response is either complete response (CR) or partial response (PR) per RECIST v1.1 assessed by BICR. (From the first dose until the date of first documented CR or PR, assessed up to 24 months)
  • Primary: PFS is defined as the time from the date of randomization until the date of documented radiographic disease progression per RECIST v1.1, as assessed by BICR or until death due to any cause, whichever comes first. (From the first dose until the date of first documented progression or date of death from any cause, whichever came first, assessed up to 24 months.)
  • Primary: OS is defined as the time from the date of randomization until the date of death from any cause. (From the first dose until the date of death from any cause, whichever came first, assessed up to 36~48 months)
  • Secondary: ORR is defined as the proportion of participants whose best overall response (BOR) is rated as confirmed complete response (CR) or confirmed partial response (PR) per RECIST v1.1. as assessed by the investigator. (From the first dose until the date of first documented CR or PR,assessed up to 24 months.)
  • Secondary: PFS is defined as the time from the date of randomization until the date of documented radiographic disease progression per RECIST v1.1 as assessed by the investigator or until death due to any cause, whichever comes first. (From the first dose until the date of first documented progression or date of death from any cause, whichever came first, assessed up to 24 months.)

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Benchmark readouts in the surrounding field

  • A Phase III, Open-Label, Randomized Study of Atezolizumab and Tiragolumab Compared With Durvalumab in Patients With Locally Advanced, Unresectable Stage III Non-Small Cell Lung Cancer Who Have Not Progressed After Concurrent Platinum-Based Chemoradiation (Phase 3): Progression-free Survival (PFS), as Assessed by an Independent Review Facility (IRF) in Programmed Death-ligand 1 (PD-L1) Positive Analysis Set (PPAS)(Median): Hazard Ratio (HR) = 0.96(95% CI, 0.75 - 1.23), P-Value = 0.7586; Progression-free Survival (PFS), as Assessed by an Independent Review Facility (IRF) in Programmed Death-ligand 1 (PD-L1) Positive Analysis Set (PPAS)(Median) = 19.35 months (95% Confidence Interval, 13.80 - 29.47)
  • Randomized Phase II Trial of Individualized Adaptive Radiotherapy Using During-Treatment FDG-PET/CT and Modern Technology in Locally Advanced Non-Small Cell Lung Cancer (NSCLC) (Phase 2): Percentage of Participants Alive Without Local-regional Progression [Local-regional Progression-free (LRPF) Survival] at Two Years (NRG): P-Value = 0.6585; Percentage of Participants Alive Without Local-regional Progression [Local-regional Progression-free (LRPF) Survival] at Two Years (NRG): P-Value = 0.6585
  • 148TiP - A phase III trial of a PD-1/VEGF bispecific antibody (PF-08634404) vs pembrolizumab in combination with platinum-based chemotherapy in first-line for locally advanced or metastatic non-small cell lung cancer (Symbiotic-Lung-01) (Phase 3): mOS = NR month ( 36.3 - NR); mOS = NR month ( 36.2 - NR)

These indexed results are contextual benchmarks, not direct head-to-head evidence. Population, treatment line, endpoint definitions, follow-up and analysis sets may differ. Their value is to clarify the type and magnitude of evidence already visible in the competitive landscape.

Build a living trial monitor: connect to PatSnap MCP Servers and track status changes, endpoint revisions, primary-completion dates and newly indexed results without manually reconciling separate databases.

Asset and sponsor context

Drug & Asset context: GFH-375 (Phase 3; KRAS G12D)

Company & Deal Intelligence context: Genfleet Therapeutics (Shanghai), Inc. — China — http://www.genfleet.com

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 decide 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.
  • Sequencing evidence: comparative data after the most 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 probability of success before a headline data release.

Bottom line

NCT07668752 is a focused lens on Locally Advanced Lung Non-Small Cell Carcinoma development. Its value will be determined by whether GFH-375 can convert the current design into evidence that is clinically meaningful, operationally credible and differentiated from indexed benchmark readouts.

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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