Tundra Space

Tundra Space

Clinical Research Directory

Browse clinical research sites, groups, and studies.

2 clinical studies listed.

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Genomics

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

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RECRUITING

NCT07417072

GenoDrugP 2025: Study on Three-dimensional Models Derived From Brain Tumors in Pediatric Patients

Central nervous system tumours are the most common solid tumours and the leading cause of cancer mortality in children, with high biological and prognostic heterogeneity. Despite advances in the 2021 WHO molecular classifications, treatment options remain limited and often ineffective in high-grade tumours. New third-generation sequencing technologies and three-dimensional models derived from patient tumours offer promising tools for more comprehensive genomic characterisation and preclinical evaluation of drug responses. However, the lack of integrated preclinical studies remains a limitation, necessitating coordinated projects to develop personalised therapeutic strategies. The study aims to investigate the genetic and biological characteristics of paediatric brain tumours. To this end, tumour tissue samples taken during planned surgery and peripheral blood samples will be analysed. Advanced genetic analyses will be performed on these materials to identify tumour alterations and the patient's genetic characteristics. In addition, experimental in vitro models derived from the tumour will be developed to evaluate the response to different chemotherapy drugs. The information obtained will be used to better understand the mechanisms of tumour growth and resistance and to promote the future development of more targeted and personalised therapies.

Gender: All

Ages: 3 Years - 18 Years

Updated: 2026-02-18

1 state

Pediatric Brain Tumors
Genomics
Epigenetic
ACTIVE NOT RECRUITING

NCT06614660

Metabolism Imaging-genomics for Predicting the Surgical Outcomes of Colorectal Cancer

In this study, the investigators constructed an imaging-metabolism prediction model for colorectal cancer by analysing the imaging and metabolomics features of colorectal cancer, in order to further adjust and guide the treatment plan.

Gender: All

Ages: 18 Years - Any

Updated: 2024-09-27

1 state

Colorectal Cancer
Imaging
Metabolomics
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