Description Module

Description Module

The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.

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Description Module


Ignite Creation Date: 2025-12-25 @ 2:15 AM
Ignite Modification Date: 2025-12-25 @ 2:15 AM
NCT ID: NCT07185360
Brief Summary: Worldwide, cirrhosis is responsible for 2 million deaths per year. Hepatocellular carcinoma (HCC) accounts for 800,000 of these deaths and is the 3rd leading cause of cancer related death. Cirrhosis affects mainly a working age population, hence its heavy economic burden.While patients with compensated cirrhosis do not have symptoms and have a 10-year life expectancy, decompensation of cirrhosis heralds a dramatic decrease in life expectancy to 2 years. Biomarkers allowing reliable estimation of the risk for decompensation of cirrhosis would allow community-based care, possibly by nurse practitioners, of patients at low risk, while patients had high risk could be managed in secondary and tertiary care centers and included in clinical trials. Because HCC is usually asymptomatic at early stages, when it is still curable, it can easily be missed. Biomarkers allowing stratification of the risk of HCC would allow reinforced surveillance (using magnetic resonance imaging) of high-risk patients, and their inclusion in chemoprevention clinical trials. LIVER-TRACK aims at reliably predicting the outcome of patients with compensated cirrhosis through the development of a Tests for Decompensation and a Test for HCC. This will be achieved through leveraging circulating extracellular vesicles (EVs), an untapped source of biomarkers in liver diseases, as prognostic indicators, and combining them with existing blood biomarkers and single-nucleotide polymorphisms (SNPs). LIVER-TRACK also aims at delivering technologies for EV measurement that are useable in medical practice.
Detailed Description: Worldwide, cirrhosis is responsible for 2 million deaths per year. Hepatocellular carcinoma (HCC) accounts for 800,000 of these deaths and is the 3rd leading cause of cancer related death. Cirrhosis affects mainly a working age population, hence its heavy economic burden. While patients with compensated cirrhosis do not have symptoms and have a 10-year life expectancy, decompensation of cirrhosis heralds a dramatic decrease in life expectancy to 2 years. Biomarkers allowing reliable estimation of the risk for decompensation of cirrhosis would allow community-based care, possibly by nurse practitioners, of patients at low risk, while patients had high risk could be managed in secondary and tertiary care centers and included in clinical trials. Because HCC is usually asymptomatic at early stages, when it is still curable, it can easily be missed. Biomarkers allowing stratification of the risk of HCC would allow reinforced surveillance (using magnetic resonance imaging) of high-risk patients, and their inclusion in chemoprevention clinical trials. LIVER-TRACK aims at reliably predicting the outcome of patients with compensated cirrhosis through the development of a Tests for Decompensation and a Test for HCC. This will be achieved through leveraging circulating extracellular vesicles (EVs), an untapped source of biomarkers in liver diseases, as prognostic indicators, and combining them with existing blood biomarkers and single-nucleotide polymorphisms (SNPs). LIVER-TRACK also aims at delivering technologies for EV measurement that are useable in medical practice. LIVER-TRACK outputs are expected to: i) improve care for individual patients at highest medical need, i.e., patients with cirrhosis with high risk of decompensation or HCC; ii) decrease cirrhosis burden for public health, iii) facilitate drug development; and iv) technically allow exploitation of EVs as biomarkers in clinical practice, an obligatory step permitting expansion to other fields such as cancer and cardiovascular diseases.
Study: NCT07185360
Study Brief:
Protocol Section: NCT07185360