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Recruiting NCT06355245

MEDECA - Markers in Early Detection of Cancer

Observational Cancer Diagnosis

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: Blood sampling.
Who it may be relevant to
Registry conditions: Cancer, Diagnosis. Basic parameters: from 18 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Sweden
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Overview

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.

Interventions

  • Diagnostic test Blood sampling
    Collection of blood samples

Primary outcome measures

  • Cancer diagnosis [Time frame: During diagnostic work-up (within six months)]
Secondary outcome measures (3)
  • Other diagnosis [Time frame: During the diagnostic work-up (within six months) as well as in a one-year follow-up]
  • Mortality [Time frame: Within 1 year from inclusion]
  • Cancer diagnosis [Time frame: Within 1 year from inclusion]

Eligibility criteria

Inclusion criteria

\- Age above 18 years

One or more of the following symptoms/clinical signs:

  • General malaise
  • Severe tiredness
  • Unintentional weight loss
  • Fever of unknown cause
  • Uncharacteristic pain for >4 weeks
  • Abnormal laboratory tests (e.g., anemia, elevated alkaline phosphatase levels, erythrocyte sedimentation rate (ESR), calcium etc.)
  • Diffuse pain without explanation
  • Marked increase in drug usage
  • Increasing health service seeking behavior
  • Radiological findings suggestive of metastasis without known primary tumor or suspicion

Exclusion criteria

  • Unwillingness to participate in the study
  • Age below 18 years

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Study design

Observational model
Cohort

Study locations

Sweden · 1 center
  • Danderyd Hospital — Stockholm

Identifiers

NCT: NCT06355245 · 2017/2160-31/1

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗