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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Volunteers without liver disease | Other | Volunteers without liver disease |
|
| Diabetic patients with F3/F4 fibrosis recruited and followed prospectively | Other | Diabetic patients with F3/F4 fibrosis recruited and followed prospectively |
|
| Patients with liver disease | Other | Patients with liver disease |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| blood sampling for volunteers | Other | A 38.5 ml blood sample will be taken to test for research taken to test for research |
|
| Measure | Description | Time Frame |
|---|---|---|
| Decompensation Test in patients with cirrhosis | The discriminating power of the Decompensation Test will be measured using the C-index | 48 months after the beginning of the project |
| HCC Test in patients with cirrhosis | The discriminating power of the HCC Test will be measured using the C-index | 48 months after the beginning of the project |
| Measure | Description | Time Frame |
|---|---|---|
| Quantification of Extracellular vesicles proteins | Number of extracellular vesicles | 48 months after the beginning of the project |
| Size of Extracellular vesicles proteins and the experimental repeatability |
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Volunteers without liver disease
- Inclusion criteria: Major
Exclusion Criteria:
Diabetic patients with F3/F4 fibrosis recruited and followed prospectively
Inclusion criteria:
Exclusion criteria:
Vulnerable person: a person deprived of liberty by a judicial or administrative decision, or under psychiatric care, and a person admitted to a health or social institution for purposes other than research.
Protected adult
Not affiliated to or not benefiting from a social security scheme
Pregnant or breast-feeding women
Absence of signed informed consent
Illness linked to other etiologies:
Current participation or less than 3 months' participation in a therapeutic interventional trial
Patients with liver disease :
Inclusion criteria:
Exclusion criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Pierre Emmanuel RAUTOU | Contact | +33 1 40 87 52 83 | pierre-emmanuel.rautou@aphp.fr |
| Name | Affiliation | Role |
|---|---|---|
| Pierre Emmanuel RAUTOU | APHP | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Bichat Hospital, Beaujon Hospital, Cochin Hospital and Lariboisière Hospital | Paris | France | France |
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| ID | Term |
|---|---|
| D008107 | Liver Diseases |
| D048550 | Hepatic Insufficiency |
| D006528 | Carcinoma, Hepatocellular |
| D005355 | Fibrosis |
| ID | Term |
|---|---|
| D004066 | Digestive System Diseases |
| D000230 | Adenocarcinoma |
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
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| ID | Term |
|---|---|
| D001800 | Blood Specimen Collection |
| ID | Term |
|---|---|
| D013048 | Specimen Handling |
| D019411 | Clinical Laboratory Techniques |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
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| blood sampling for diabetics patients with F3/F4 fibrosis | Other | 32.5 ml will be sampled at inclusion, at one year visit and two year visit |
|
| blood sampling for patients with liver disease | Other | A blood sample of 35.5 mL maximum will be taken for research purposes at the inclusion visit, M1 visit and M3 visit. |
|
size of extracellular vesicles in nm
| 48 months after the beginning of the project |
| 3D morphology of extracellular vesicles | size of microvesicles in nm | 48 months after the beginning of the project |
| Extracellular vesicles plasma concentrations in the general population | Extracellular vesicles concentration per mL | 48 months after the beginning of the project |
| number of patients with extreme values of extracellular vesicles in the general population | Extracellular vesicles concentration per mL | 48 months after the beginning of the project |
| D009370 |
| Neoplasms by Histologic Type |
| D009369 | Neoplasms |
| D008113 | Liver Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D011677 | Punctures |
| D013514 | Surgical Procedures, Operative |
| D008919 | Investigative Techniques |