Investigation of Lymph Node Biology in Kidney Cancer
LN-RCC
Characterizing the Tumor-draining Lymph Nodes and Other Immune Sites in Renal Cell Carcinoma
1 other identifier
interventional
10
1 country
1
Brief Summary
The purpose of this pilot study is to investigate the phenotype, anti-tumor effector functions, and TCR repertoire of T cells isolated from patient tumor draining lymph nodes (TDLNs) to understand T cell priming and trafficking patterns in Renal Cell Carcinoma (RCC). Data and biospecimen collected will be used for current and future research projects involving the study of kidney cancer biology and related medical conditions. We will use this valuable resource to ask clinically relevant translational questions that pertain to biomarker discovery/validation, identification of novel therapeutic targets, and to better understand the genetic and biological basis of the various kidney cancers.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Jan 2026
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 30, 2025
CompletedFirst Posted
Study publicly available on registry
June 26, 2025
CompletedStudy Start
First participant enrolled
January 30, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 1, 2027
February 3, 2026
January 1, 2026
1.8 years
May 30, 2025
January 31, 2026
Conditions
Outcome Measures
Primary Outcomes (4)
Molecular Profiling of Tumor and Draining Lymph Node Tissues in Kidney Cancer Patients
This outcome measure focuses on the detailed molecular characterization of tumor and draining lymph node tissues collected from kidney cancer patients. The analysis will include genomic, transcriptomic, and proteomic profiling to understand the underlying biology of kidney cancers
24 months
Molecular Responses to Anti-Cancer Therapies in Kidney Cancer Patients
This outcome measure aims to assess the molecular responses of kidney cancer tissues to anti-cancer therapies. It involves analyzing changes in the molecular profiles of tumor and lymph node tissues before and after treatment to evaluate therapeutic efficacy and identify potential biomarkers of response.
24 months
Mechanistic Insights into Resistance to Anti-Cancer Therapies in Kidney Cancer
This outcome measure investigates the mechanisms of resistance to anti-cancer therapies in kidney cancer patients. The goal is to identify molecular alterations and signaling pathways associated with resistance, which could inform the development of strategies to overcome or prevent resistance.
24 months
Biomarkers for Predicting Toxicities of Anti-Cancer Therapies in Kidney Cancer Patients
This outcome measure aims to identify biomarkers that can predict toxicities associated with anti-cancer therapies in kidney cancer patients. By analyzing molecular changes in tissues, the study seeks to develop predictive models to minimize adverse effects and personalize treatment regimens for better patient management. These measures collectively aim to enhance our understanding of kidney cancer biology, responses to therapy, mechanisms of resistance, and toxicity prediction, thereby contributing to more effective and personalized treatment approaches.
24 months
Study Arms (1)
Specimen collection
EXPERIMENTALThis single arm study will assess adult patients with either a known or suspected kidney cancer referred to Yale Genitourinary Oncology providers in the Yale Urology, Medical Oncology, Radiation Oncology, or Nephrology Departments. Specimens collected will include peripheral blood sample for immune analysis, tumor sample for analysis, adjacent non-malignant kidney for analysis, draining lymph nodes for analysis and finally, regional non-draining lymph nodes for analysis.
Interventions
A peripheral blood sample will be collected at the time of surgery.
Extra tumor which is left over following clinical diagnoses will be collected.
Extra normal tissue which is left over following clinical diagnoses will be collected.
Draining lymph nodes which have been identified by the surgeon visually, potentially using a tracer (injection of up to 5mg of ICG into the peritumor kidney) will be collected.
Regional lymph nodes which have been deemed as non-draining by the surgeon will be collected.
Eligibility Criteria
You may qualify if:
- Participant eligibility will be determined by study investigators and will be offered protocol details. Interested participants will be invited to participate by study investigators. Consent will be obtained by study investigators or other authorized study personnel. Any potential adult participants with known or suspected kidney cancers with a renal mass who are patients of non-study physicians will be invited to participate by study personal only with the approval of their treating physician.
You may not qualify if:
- Participants under the age of 18. Children will not be enrolled on the study.
- Participants known to be pregnant or actively breastfeeding.
- Iodine allergy hypersensitivity.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Yale Universitylead
Study Sites (1)
Yale University
New Haven, Connecticut, 06510, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
David Braun, MD
Yale University
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 30, 2025
First Posted
June 26, 2025
Study Start
January 30, 2026
Primary Completion (Estimated)
December 1, 2027
Study Completion (Estimated)
December 1, 2027
Last Updated
February 3, 2026
Record last verified: 2026-01
Data Sharing
- IPD Sharing
- Will not share