Biomarkers of Renal Cancer
- Conditions
- OncocytomaTumor, SolidRenal Cell CarcinomaAngiomyolipoma
- Registration Number
- NCT05785052
- Lead Sponsor
- Biorek S.R.L.
- Brief Summary
The aim of the present study is the identification, in liquid biopsies, of a new molecular panel able to discriminate renal cancer patients from controls, to discriminate patients with a malignant lesion from those with a benign mass, to determine aggressiveness of RCC, and to differentiate the most common histological subtypes of RCC (clear cell, papillary 1, papillary 2, and chromophobe).
This new molecular panel will be combined with clinical parameters to provide a screening test and to improve the accuracy and specificity of diagnosis, prognosis, and histological classification of renal cancer.
- Detailed Description
The study is a translational one of the duration of 7 years and it is composed by a retrospective and a prospective phases.
1. Retrospective phase:
Retrospective analysis of liquid and solid biopsies of patients diagnosed with a first episode of renal mass (of any histological subtype, such as clear cell RCC, type 1 and type 2 papillary RCC, chromophobe RCC, oncocytoma, and angiomyolipoma) and treated with radical or partial nephrectomy, in order to identify specific biomarkers for the screening, diagnosis, prognosis, and histological classification of renal cancer.
Patients with a first episode of renal mass whose plasma, urine, tumor and matched normal kidney tissue, and PBMC have been collected and stored in a biobank since 2011, will be stratified in different groups according to (i) the nature of renal mass (benign or malignant), (ii) the aggressiveness of renal cancer (indolent kidney cancer or aggressive kidney cancer), and (iii) the presence or absence of clinical metastasis; (iv) specific histotype of renal mass (e.g., clear cell RCC, type 1 and type 2 papillary RCC, chromophobe RCC, oncocytoma, and angiomyolipoma).
The same type of biological samples mentioned above from patients affected by urological functional diseases (such as kidney stones or benign prostate hypertrophy) have been collected and stored in a biobank between 2014 and 2018 and will be also analyzed as controls.
The samples will be fractionated and subjected to different analysis, such as the detection of nucleic acids (DNA and RNA), and proteins. These macromolecules will be purified and analyzed by employing methods such as real time PCR, microarrays, sequencing, ELISA assays, or mass spectrometry.
2. Prospective phase and multicenter trial:
Validation of the biomarker panel in a wider cohort of patients affected by renal mass.
An ideal tumor marker is easily detected and dosed, is sensitive and specific and its clinical significance is easy to deduce. To confirm the results obtained in archived samples and validate a panel of biomarkers to be translate in the clinical practice, it will be collected whole blood, plasma and urine samples from a validation cohort of patients.
It will enrolled patients affected by renal masses (e.g., clear cell RCC, type 1 and type 2 papillary RCC, chromophobe RCC, oncocytoma, and angiomyolipoma), who will undergo radical or partial nephrectomy, and controls (patients affected by urological functional diseases, such as kidney stones or benign prostate hypertrophy) with a ratio of 2:1 in all centers included.
For each patients, clinical data will be collected, creating a dataset with the same variables used in the discovery cohort.
The aim of this prospective phase will be to confirm that the identified molecules can improve the management of patients with RCC at all the stages of clinical decision-making, in particular for the screening, diagnosis, prognosis, and histological classification of RCC.
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 1000
Not provided
Not provided
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Screening Analysis of biological samples collected before surgery Identification of biomarkers able to predict the presence of a renal mass, defined as a mass either benign or malignant recorded at axial imaging examination (either CT or MRI).
Diagnosis Analysis of biological samples collected before surgery Identification of biomarkers able to predict the presence of a Renal Cell Carcinoma, defined as a renal malignancy
Prognosis Analysis of biological samples collected before surgery Identification of biomarkers able to predict the presence of an aggressive Renal Cell Carcinoma
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (4)
Azienda Ospedaliera Universitaria Careggi
🇮🇹Firenze, Italy
Azienda Ospedaliera Universitaria San Luigi Gonzaga
🇮🇹Orbassano, Italy
IRCCS San Raffaele
🇮🇹Milano, Italy
Fundació Puigvert
🇪🇸Barcelona, Spain