- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06778317
mSEPT9 Biomarker for Predicting Hepatocellular Carcinoma Occurrence in Patients With Cirrhosis (SEPT9_SuRV)
Evaluation of the Circulating Epigenetic Biomarker mSEPT9 for Predicting the Occurrence of Hepatocellular Carcinoma in Patients With Cirrhosis: A Prospective Multicenter Trial (SEPT9_SuRV)
Study Overview
Status
Intervention / Treatment
Detailed Description
This study is a prospective, multicenter cohort trial designed to assess the prognostic utility of the circulating epigenetic biomarker mSEPT9 in predicting the development of hepatocellular carcinoma (HCC) among patients with cirrhosis. The trial involves 400 participants who are confirmed to have cirrhosis and no evidence of HCC at baseline.
The study's primary focus is to evaluate the association between a "switch" in the mSEPT9 test-from a triple-negative status (no methylation detected across triplicate assays) to at least one positive triplicate-and the subsequent occurrence of HCC. Secondary objectives include assessing this association across different etiologies of cirrhosis (e.g., viral hepatitis, alcohol-related liver disease, nonalcoholic steatohepatitis) and its correlation with HCC-related mortality.
Participants will undergo standardized clinical, biological, and imaging assessments every six months over a follow-up period of 60 months, as per international guidelines for cirrhosis management. In addition to routine care, blood samples will be collected at each visit for mSEPT9 testing. These samples will be processed, stored at -80°C, and analyzed in batches to assess mSEPT9 levels.
The findings from this study are expected to address the unmet need for reliable, non-invasive biomarkers for HCC risk prediction, potentially leading to personalized surveillance strategies and earlier intervention for patients with cirrhosis. Data will be managed using an electronic case report form (eCRF) to ensure secure, standardized documentation across all participating centers. Results from mSEPT9 testing will not influence clinical management during the study period but will be analyzed to determine their predictive value for HCC development and prognosis.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Prof. Abderrahim OUSSALAH, MD, PhD
- Phone Number: +33383153629
- Email: abderrahim.oussalah@univ-lorraine.fr
Study Locations
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-
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Vandœuvre-lès-Nancy, France, 54511
- Recruiting
- Regional and University Hospital Center of Nancy
-
Contact:
- Prof. Abderrahim OUSSALAH, MD, PhD
- Phone Number: +33383153629
- Email: abderrahim.oussalah@univ-lorraine.fr
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Adults aged 18 years or older.
- Patients diagnosed with cirrhosis confirmed by clinical, biochemical, radiological, or histological criteria.
- Cirrhosis attributable to one or more of the following etiologies: alcohol, hepatitis C (HCV), hepatitis B (HBV), nonalcoholic steatohepatitis (NASH), hemochromatosis, autoimmune hepatitis, primary biliary cholangitis, primary sclerosing cholangitis, or cryptogenic causes.
- Patients actively followed in one of the participating study centers.
- Patients affiliated with a social security program or equivalent.
- Patients with a body weight greater than 45 kg.
- Patients who have been fully informed about the study procedures and have provided oral informed consent.
Exclusion Criteria:
- History of hepatocellular carcinoma (HCC).
- History of any other primary or secondary malignant liver tumor.
- Diagnosis of malignancy or hematologic disorders within the past 5 years (without time limitation for hematologic malignancies).
- Patients currently undergoing hemodialysis.
- Pregnant or breastfeeding women.
- Individuals under legal protection (e.g., guardianship, curatorship) or unable to provide consent.
- Minors or individuals younger than 18 years.
- Individuals deprived of liberty by judicial or administrative order.
- Patients with psychiatric conditions receiving care under legal constraints (e.g., articles L.3212-1 and L.3213-1).
- Patients unable to comply with the study protocol requirements.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Patients With Cirrhosis Without Hepatocellular Carcinoma at Baseline
This cohort includes 400 patients with cirrhosis who do not have hepatocellular carcinoma (HCC) at the time of inclusion.
Participants will undergo standard clinical, biological, and radiological evaluations every six months for a total follow-up duration of 60 months, in accordance with international guidelines for cirrhosis management.
In addition to routine assessments, blood samples will be collected at each visit for the analysis of the circulating epigenetic biomarker mSEPT9.
This biomarker will be tested to evaluate its utility in predicting the occurrence of HCC during the follow-up period.
The results of the mSEPT9 test will not influence clinical management during the study.
|
This intervention involves the analysis of the circulating epigenetic biomarker mSEPT9 through plasma samples collected from patients with cirrhosis. The mSEPT9 test evaluates the methylation status of the SEPT9 gene promoter using a triplicate assay. A "switch" in the test status, defined as a transition from triple-negative (no methylation detected in any triplicate) to at least one positive triplicate, is being investigated as a prognostic marker for the development of hepatocellular carcinoma (HCC). The mSEPT9 test is conducted on plasma samples collected during routine blood draws at each of the 11 scheduled study visits. Samples are processed and analyzed in batches using specialized high-throughput equipment provided by Epigenomics/New Day Diagnostics. Results of the mSEPT9 test are not shared with clinicians during the study period to avoid influencing patient management, ensuring the test is purely investigational in this context.
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Association Between mSEPT9 Test Switch and Hepatocellular Carcinoma (HCC) Development
Time Frame: Annually for up to 60 months or until the occurrence of HCC, whichever occurs first.
|
Evaluate the relationship between a 'switch' in the mSEPT9 test result-defined as a transition from triple-negative (no methylation detected across all triplicates) to at least one positive triplicate-and the occurrence of hepatocellular carcinoma (HCC), as diagnosed using international criteria established by the AASLD.
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Annually for up to 60 months or until the occurrence of HCC, whichever occurs first.
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Association Between mSEPT9 Test Switch and HCC Development by Cirrhosis Etiology
Time Frame: Annually for up to 60 months or until the occurrence of HCC, whichever occurs first.
|
Assess the association between a 'switch' in mSEPT9 test results and the development of hepatocellular carcinoma (HCC), as diagnosed using international criteria (AASLD), across subgroups categorized by cirrhosis etiology, including alcohol use, hepatitis B (HBV), hepatitis C (HCV), and nonalcoholic steatohepatitis (NASH).
A 'switch' in the mSEPT9 test result is defined as a transition from triple-negative (no methylation detected across all triplicates) to at least one positive triplicate.
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Annually for up to 60 months or until the occurrence of HCC, whichever occurs first.
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Association Between mSEPT9 Test Results and HCC-Related Mortality
Time Frame: Annually for up to 60 months or until HCC-specific death occurs.
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HCC-specific mortality, defined as death attributable to hepatocellular carcinoma based on international classification of diseases (ICD) coding and/or clinical determination, stratified by positive or negative mSEPT9 test results (performed in triplicate).
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Annually for up to 60 months or until HCC-specific death occurs.
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Establishment of a Biobank for Genomic and Epigenomic Analysis
Time Frame: For each participant, samples will be collected at enrollment (baseline) and during follow-up visits every 6 months for up to 60 months.
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Number of Plasma and DNA Samples Collected and Stored for Genomic and Epigenomic Analysis, Including Data on Sample Quality, Quantity.
|
For each participant, samples will be collected at enrollment (baseline) and during follow-up visits every 6 months for up to 60 months.
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Study Director: Mr. Franck Schreiner, Regional and University Hospital Center of Nancy
Publications and helpful links
General Publications
- Bruix J, Reig M, Sherman M. Evidence-Based Diagnosis, Staging, and Treatment of Patients With Hepatocellular Carcinoma. Gastroenterology. 2016 Apr;150(4):835-53. doi: 10.1053/j.gastro.2015.12.041. Epub 2016 Jan 12.
- El-Serag HB. Hepatocellular carcinoma. N Engl J Med. 2011 Sep 22;365(12):1118-27. doi: 10.1056/NEJMra1001683. No abstract available.
- Heimbach JK, Kulik LM, Finn RS, Sirlin CB, Abecassis MM, Roberts LR, Zhu AX, Murad MH, Marrero JA. AASLD guidelines for the treatment of hepatocellular carcinoma. Hepatology. 2018 Jan;67(1):358-380. doi: 10.1002/hep.29086. No abstract available.
- Bruix J, Sherman M; American Association for the Study of Liver Diseases. Management of hepatocellular carcinoma: an update. Hepatology. 2011 Mar;53(3):1020-2. doi: 10.1002/hep.24199. No abstract available.
- Forner A, Reig M, Bruix J. Hepatocellular carcinoma. Lancet. 2018 Mar 31;391(10127):1301-1314. doi: 10.1016/S0140-6736(18)30010-2. Epub 2018 Jan 5.
- Oussalah A, Rischer S, Bensenane M, Conroy G, Filhine-Tresarrieu P, Debard R, Forest-Tramoy D, Josse T, Reinicke D, Garcia M, Luc A, Baumann C, Ayav A, Laurent V, Hollenbach M, Ripoll C, Gueant-Rodriguez RM, Namour F, Zipprich A, Fleischhacker M, Bronowicki JP, Gueant JL. Plasma mSEPT9: A Novel Circulating Cell-free DNA-Based Epigenetic Biomarker to Diagnose Hepatocellular Carcinoma. EBioMedicine. 2018 Apr;30:138-147. doi: 10.1016/j.ebiom.2018.03.029. Epub 2018 Mar 28.
- Nahon P, Layese R, Bourcier V, Cagnot C, Marcellin P, Guyader D, Pol S, Larrey D, De Ledinghen V, Ouzan D, Zoulim F, Roulot D, Tran A, Bronowicki JP, Zarski JP, Riachi G, Cales P, Peron JM, Alric L, Bourliere M, Mathurin P, Blanc JF, Abergel A, Serfaty L, Mallat A, Grange JD, Attali P, Bacq Y, Wartelle C, Dao T, Thabut D, Pilette C, Silvain C, Christidis C, Nguyen-Khac E, Bernard-Chabert B, Zucman D, Di Martino V, Sutton A, Roudot-Thoraval F, Audureau E; ANRS CO12 CirVir Group. Incidence of Hepatocellular Carcinoma After Direct Antiviral Therapy for HCV in Patients With Cirrhosis Included in Surveillance Programs. Gastroenterology. 2018 Nov;155(5):1436-1450.e6. doi: 10.1053/j.gastro.2018.07.015. Epub 2018 Jul 19.
- Moon AM, Weiss NS, Beste LA, Su F, Ho SB, Jin GY, Lowy E, Berry K, Ioannou GN. No Association Between Screening for Hepatocellular Carcinoma and Reduced Cancer-Related Mortality in Patients With Cirrhosis. Gastroenterology. 2018 Oct;155(4):1128-1139.e6. doi: 10.1053/j.gastro.2018.06.079. Epub 2018 Jul 5.
- Sharma SA, Kowgier M, Hansen BE, Brouwer WP, Maan R, Wong D, Shah H, Khalili K, Yim C, Heathcote EJ, Janssen HLA, Sherman M, Hirschfield GM, Feld JJ. Toronto HCC risk index: A validated scoring system to predict 10-year risk of HCC in patients with cirrhosis. J Hepatol. 2017 Aug 24:S0168-8278(17)32248-1. doi: 10.1016/j.jhep.2017.07.033. Online ahead of print.
- Moran S, Martinez-Cardus A, Boussios S, Esteller M. Precision medicine based on epigenomics: the paradigm of carcinoma of unknown primary. Nat Rev Clin Oncol. 2017 Nov;14(11):682-694. doi: 10.1038/nrclinonc.2017.97. Epub 2017 Jul 4.
- Hao X, Luo H, Krawczyk M, Wei W, Wang W, Wang J, Flagg K, Hou J, Zhang H, Yi S, Jafari M, Lin D, Chung C, Caughey BA, Li G, Dhar D, Shi W, Zheng L, Hou R, Zhu J, Zhao L, Fu X, Zhang E, Zhang C, Zhu JK, Karin M, Xu RH, Zhang K. DNA methylation markers for diagnosis and prognosis of common cancers. Proc Natl Acad Sci U S A. 2017 Jul 11;114(28):7414-7419. doi: 10.1073/pnas.1703577114. Epub 2017 Jun 26.
- Ngwa JS, Cabral HJ, Cheng DM, Pencina MJ, Gagnon DR, LaValley MP, Cupples LA. A comparison of time dependent Cox regression, pooled logistic regression and cross sectional pooling with simulations and an application to the Framingham Heart Study. BMC Med Res Methodol. 2016 Nov 3;16(1):148. doi: 10.1186/s12874-016-0248-6.
- Villanueva A, Portela A, Sayols S, Battiston C, Hoshida Y, Mendez-Gonzalez J, Imbeaud S, Letouze E, Hernandez-Gea V, Cornella H, Pinyol R, Sole M, Fuster J, Zucman-Rossi J, Mazzaferro V, Esteller M, Llovet JM; HEPTROMIC Consortium. DNA methylation-based prognosis and epidrivers in hepatocellular carcinoma. Hepatology. 2015 Jun;61(6):1945-56. doi: 10.1002/hep.27732. Epub 2015 Mar 18.
- Chaiteerakij R, Addissie BD, Roberts LR. Update on biomarkers of hepatocellular carcinoma. Clin Gastroenterol Hepatol. 2015 Feb;13(2):237-45. doi: 10.1016/j.cgh.2013.10.038. Epub 2013 Nov 23.
- Mair RD, Valenzuela A, Ha NB, Ayoub WS, Daugherty T, Lutchman GA, Garcia G, Ahmed A, Nguyen MH. Incidence of hepatocellular carcinoma among US patients with cirrhosis of viral or nonviral etiologies. Clin Gastroenterol Hepatol. 2012 Dec;10(12):1412-7. doi: 10.1016/j.cgh.2012.08.011. Epub 2012 Aug 16.
- Kakehashi A, Ishii N, Shibata T, Wei M, Okazaki E, Tachibana T, Fukushima S, Wanibuchi H. Mitochondrial prohibitins and septin 9 are implicated in the onset of rat hepatocarcinogenesis. Toxicol Sci. 2011 Jan;119(1):61-72. doi: 10.1093/toxsci/kfq307. Epub 2010 Oct 8.
- deVos T, Tetzner R, Model F, Weiss G, Schuster M, Distler J, Steiger KV, Grutzmann R, Pilarsky C, Habermann JK, Fleshner PR, Oubre BM, Day R, Sledziewski AZ, Lofton-Day C. Circulating methylated SEPT9 DNA in plasma is a biomarker for colorectal cancer. Clin Chem. 2009 Jul;55(7):1337-46. doi: 10.1373/clinchem.2008.115808. Epub 2009 Apr 30.
- Scott M, Hyland PL, McGregor G, Hillan KJ, Russell SE, Hall PA. Multimodality expression profiling shows SEPT9 to be overexpressed in a wide range of human tumours. Oncogene. 2005 Jul 7;24(29):4688-700. doi: 10.1038/sj.onc.1208574.
- Boberg KM, Rocca G, Egeland T, Bergquist A, Broome U, Caballeria L, Chapman R, Hultcrantz R, Mitchell S, Pares A, Rosina F, Schrumpf E. Time-dependent Cox regression model is superior in prediction of prognosis in primary sclerosing cholangitis. Hepatology. 2002 Mar;35(3):652-7. doi: 10.1053/jhep.2002.31872.
- European Association for the Study of the Liver. EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma. J Hepatol. 2018 Jul;69(1):182-236. doi: 10.1016/j.jhep.2018.03.019. Epub 2018 Apr 5. No abstract available.
- Berman K, Tandra S, Vuppalanchi R, Ghabril M, Sandrasegaran K, Nguyen J, Caffrey H, Liangpunsakul S, Lumeng L, Kwo P, Chalasani N. Hepatic and extrahepatic cancer in cirrhosis: a longitudinal cohort study. Am J Gastroenterol. 2011 May;106(5):899-906. doi: 10.1038/ajg.2010.477. Epub 2010 Dec 21.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Pathologic Processes
- Neoplasms by Site
- Neoplasms
- Neoplasms by Histologic Type
- Digestive System Neoplasms
- Digestive System Diseases
- Liver Diseases
- Neoplasms, Glandular and Epithelial
- Adenocarcinoma
- Liver Neoplasms
- Carcinoma
- Pathological Conditions, Signs and Symptoms
- Carcinoma, Hepatocellular
- Fibrosis
Other Study ID Numbers
- 2022-A01664-39
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
The study will share individual participant data (IPD) related to anonymized clinical, biological, and imaging results, as well as the results of mSEPT9 biomarker analyses.
This includes:
- Demographic data
- Clinical characteristics, including cirrhosis etiology and disease severity (e.g., Child-Pugh score)
- Results from routine imaging and biological assessments
- mSEPT9 test results (e.g., triple-negative, positive status)
- Outcome measures, such as the occurrence of hepatocellular carcinoma (HCC) and mortality
All shared data will be pseudo-anonymized to ensure participant confidentiality and will be accessible to researchers upon reasonable request, in accordance with regulatory and ethical guidelines.
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ANALYTIC_CODE
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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