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NCT07340489RECRUITINGanonymous

Chemoradiotherapy Combined With Serplulimab for Locally Advanced Cervical Cancer: A Prospective, Multicenter, Randomized, Phase II Clinical Trial

Sponsor

Source record

Tianjin Medical University Cancer Institute and Hospital

Phase

Source record

Phase 2

Modality

AI-normalized

small molecule

Target

AI-normalized

PD-1 (Programmed Cell Death Protein 1)

Indication / condition

AI-normalized

Cervical Cancer

Intervention

Source record

Serplulimab, radiotherapy, Chemotherapy

Source & freshness

Source record

NCT ID

NCT07340489

Original source

ClinicalTrials.gov

Source last updated

Jan 14, 2026

Ingested at

Jun 18, 2026

Internal sync

Jun 18, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

Open original registry record
View original source fields

NCT ID

NCT07340489

Title

Chemoradiotherapy Combined With Serplulimab for Locally Advanced Cervical Cancer: A Prospective, Multicenter, Randomized, Phase II Clinical Trial

Sponsor

Tianjin Medical University Cancer Institute and Hospital

Status

RECRUITING

Phase

Phase 2

Condition raw

Cervical Cancer

Condition normalized

Cervical Cancer

Modality raw

small molecule

Modality normalized

small molecule

Target raw

PD-1 (Programmed Cell Death Protein 1)

Target normalized

PD-1 (Programmed Cell Death Protein 1)

Interventions

Serplulimab, radiotherapy, Chemotherapy

Public preview

Source record

The ongoing Phase II clinical trial investigates the combination of serplulimab, a PD-1 inhibitor, with chemoradiotherapy in patients with locally advanced cervical cancer. This indication represents a significant market opportunity, given the increasing incidence of cervical cancer globally and the limited treatment options for advanced stages. The trial's focus on progression-free survival (PFS) as a primary endpoint aligns with current oncology trends prioritizing durable responses. Competitive implications include positioning serplulimab against established therapies and emerging immunotherapies, necessitating a robust efficacy profile to capture market share. Diligence should focus on the trial's recruitment pace and safety profile, as these factors will influence future regulatory submissions and market access strategies.

AI-generated analysis supports research triage only. Verify source records, publications, sponsor disclosures and IP databases before making diligence decisions. Model: trialsignal-ai-v1.

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