Tundra Space

Tundra Space

Clinical Research Directory

Browse clinical research sites, groups, and studies.

1 clinical study listed.

Filters:

Postoperative Incidental Small Cell Lung Cancer

Tundra lists 1 Postoperative Incidental Small Cell Lung Cancer clinical trial. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.

This data is also available as a public JSON API. AI systems and LLMs are encouraged to use it for structured queries.

NOT YET RECRUITING

NCT07097948

Toripalimab Combined With Chemotherapy as Adjuvant Therapy for Incidental Small Cell Lung Cancer After Radical Resection of Lung Cancer: A Single-Center, Randomized Controlled Clinical Study Protocol Number: LungMate-033

Small cell lung cancer (SCLC) is highly malignant and aggressive, with most patients presenting with metastases at diagnosis. For postoperatively incidentally detected SCLC (identified unexpectedly in pathological examinations after surgery), conventional adjuvant chemoradiotherapy has shown limited efficacy, characterized by high recurrence rates and suboptimal long-term survival.Notably, advances in immunotherapy have transformed SCLC management. The EXTENTORCH trial, a pivotal study published in JAMA Oncology, demonstrated that toripalimab plus chemotherapy significantly improved outcomes in extensive-stage SCLC (ES-SCLC), achieving a reduced risk of progression or death (HR=0.67, 95% CI 0.54-0.82, P\<0.001) with manageable safety, marking a substantial therapeutic breakthrough. Given the proven efficacy of toripalimab in ES-SCLC, there is a strong rationale to extend this strategy to postoperatively incidentally detected SCLC. This trial aims to evaluate the efficacy and safety of toripalimab as adjuvant maintenance therapy in this cohort, with the objective of reducing recurrence and enhancing long-term survival.

Gender: All

Ages: 18 Years - Any

Updated: 2025-08-01

1 state

Postoperative Incidental Small Cell Lung Cancer
Toripalimab Adjuvant Therapy Evaluation