Viewing Study NCT06355245



Ignite Creation Date: 2024-05-06 @ 8:22 PM
Last Modification Date: 2024-10-26 @ 3:26 PM
Study NCT ID: NCT06355245
Status: RECRUITING
Last Update Posted: 2024-04-09
First Post: 2024-01-10

Brief Title: MEDECA - Markers in Early Detection of Cancer
Sponsor: Danderyd Hospital
Organization: Danderyd Hospital

Study Overview

Official Title: MEDECA - Markers in Early Detection of Cancer
Status: RECRUITING
Status Verified Date: 2024-04
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: MEDECA
Brief Summary: Early diagnosis of cancer is key for improving patient outcomes but cancers are difficult to diagnose if patients present with unspecific symptoms The principal objective of the MEDECA Markers in Early Detection of Cancer study is to identify a multi-analyte blood test that can detect and map occult cancer within a mixed population of patients presenting with serious but unspecific symptoms The study will include 1500 patients referred to the Diagnostic Center at Danderyd Hospital DC DS a multidisciplinary diagnostic center referral pathway for patients with radiological findings suggestive of metastasis without known primary tumor or suspicion of serious but unspecific symptoms Blood samples are collected prior to a standardized and extensive cancer diagnostic work-up including an expanded panel of biochemical analyses and extensive imaging such as computed tomography or magnetic resonance investigations In collaboration with world-leading international scientists the blood samples will be analyzed for a panel of novel and established blood biomarkers predictive of an underlying cancer including markers of neutrophil extracellular traps circulating tumor DNA platelet mRNA profiling affinity-based proteomics and nuclear magnetic resonance metabolomics The diagnostic accuracy of the blood biomarkers with respect to cancer detection during the diagnostic work-up will be analyzed through machine learning
Detailed Description: None

Study Oversight

Has Oversight DMC: None
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: None