Tundra Space

Tundra Space

Clinical Research Directory

Browse clinical research sites, groups, and studies.

2 clinical studies listed.

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Recurrent Renal Cell Cancer

Tundra lists 2 Recurrent Renal Cell Cancer clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.

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RECRUITING

NCT06583070

SABR Combined With Targeted Therapy and Anti-PD-1 for Recurrent or Metastatic Renal Cancer

Renal cancer ranks seventh in incidence among men and sixth among women in the Beijing area, with Peking University First Hospital treating over 1,000 kidney cancer patients annually. Once recurrence or metastasis occurs, the prognosis is poor, with median progression times of 1-2 years after first-line systemic therapy (targeted therapy combined with immunotherapy). Enhancing local control of lesions is key to improving overall survival. Combining local radiotherapy with systemic treatment may be one approach to address this issue. Currently, Stereotactic Ablative Radiotherapy (SABR) enables precise tumor ablation and can activate the body's immune response. Studies show that the one-year local control rate after SABR exceeds 90%. Preliminary research by the applicant has shown that the combination of drug therapy and SABR for recurrent metastatic renal cancer can extend progression-free survival beyond two years, with earlier intervention leading to more significant survival improvements. This study aims to evaluate the efficacy and safety of combining SABR with targeted and immunotherapy for recurrent metastatic renal cancer through a multicenter, bidirectional cohort design, exploring new therapeutic strategies.

Gender: MALE

Ages: 18 Years - 85 Years

Updated: 2026-01-28

1 state

Radiation Therapy
Metastatic Renal Cancer
Recurrent Renal Cell Cancer
RECRUITING

NCT06088134

Contrast-enhanced CT-based Deep Learning Model for Preoperative Prediction of Disease-free Survival (DFS) in Localized Clear Cell Renal Cell Carcinoma (ccRCC)

This study aims to preoperatively predict DFS of patients with localised ccRCC using a deep learning prognostic model based on enhanced contrast CT images, validate it's predictive ability in multicentre data and compare it's predictive ability with traditional models.

Gender: All

Updated: 2025-05-31

1 state

Clear Cell Renal Cell Carcinoma
Prognostic Cancer Model
Recurrent Renal Cell Cancer