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A Companion Diagnostic Study to Develop Circulating Exosomes as Predictive Biomarkers for the Response to Immunotherapy in Renal Cell Carcinoma

A Companion Diagnostic Study to Develop Circulating Exosomes as Predictive Biomarkers for the Response to Immunotherapy in Renal Cell Carcinoma

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05705583
Enrollment
100
Registered
2023-01-31
Start date
2023-01-01
Completion date
2025-12-31
Last updated
2023-01-31

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Renal Cell Carcinoma

Brief summary

Immune checkpoint inhibitors targeting PD-1 or PD-L1 have been developed and clinical trials showning better response in unselected patients with metastatic renal cell carcinoma (RCC). At the moment, no clear biomarker exists to accurately predict anti-PD1/PDL1 RCC responsiveness. The objective of this study is to develop and evaluate the utility of circulating exosomes as companion diagnostic biomarker for predicting response to immunotherapy in patients with RCC.

Interventions

OTHEROther: Blood and Urine Collection

Blood and Urine Collection

Sponsors

Zhejiang Cancer Hospital
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Advanced Metastatic RCC * Scheduled to initiate an immunocheckpoint inhibitors or in combination with them * Age \>= 18 years * Able to provide informed consent

Exclusion criteria

* Other, unrelated, concomitant active, invasive malignancy

Design outcomes

Primary

MeasureTime frameDescription
The correlation between the circulating exosomes levels and the tumor responsiveness3 yearsThe Measurement: The concentration of ciruculating exosomes and the expression level of exosomal RNA. The Measurement Tool: RT-PCR,WB and Elisa

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026