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| Name | Class |
|---|---|
| International Centre for Diarrhoeal Disease Research, Bangladesh | OTHER |
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Hepatocellular Carcinoma (HCC) is the fifth most common cancer world-wide. It is particularly prevalent in Asia, and its occurrence is highest in areas where hepatitis B is prevalent, indicating a possible causal relationship. Follow up of high-risk populations such as chronic hepatitis patients and early diagnosis of transitions from chronic hepatitis to HCC would improve cure rates. In most cases HCC is detected late resulting in increased mortality and morbidity.
The purpose of this study is to develop and test non-invasive biomarkers based on methylation changes in PBMC and circulated tumor DNA in hepatocellular carcinomas patients.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| chronic hepatitis B | This group will include 50 with hepatitis B subjects and the diagnoses will be based on AASLD practice guideline. |
| |
| HCC Cases | This group will include 350 in stage 0, stage A, stage B, Stage C+D of hepatocellular carcinoma. HCC staging will be diagnosed according to EASL-EORTC Clinical Practice Guidelines: Management of hepatocellular carcinoma |
| |
| Healthy | This group will include 50 healthy sex and age matched controls. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| ctDNA methylation in and it's Correlation wth Development and prediction of HCC | Diagnostic Test | Blood sample from patients with HCC, healthy individuals and individuals with hepatitis B will be collected, and DNA will extracted from PBMC and circulated tumor DNA will be subjected to bisulfite conversion. DNA from PBMC DNA will be analyzed with primers developed for the AHNAK-STAP1 genes. Plasma samples will be subjected to EZ direct DNA extraction and bisulfite conversion kit and will be amplified with primers developed to amplify the target regions. DNA will be used for the subsequent PCR amplification with specific primer to generate PCR amplicon for sequencing using a double PCR procedure. The product of PCR reaction will be subjected to indexed MiSeq Next-Generation sequencing that will allow us quantify DNA methylation level. |
| Measure | Description | Time Frame |
|---|---|---|
| Calculation of M Scores and HCC Probability Scores | We normalized median methylation values (range 0-100) for 'HCC-detect' (Hepatocellular Carcinoma Detection) and 'HCC-spec' (Hepatocellular Carcinoma Specificity). 'HCC-detect' is derived from CHFR, VASH2, CCNJ, and GRID2IP regions, aiming to broadly identify HCC. Theoretical range is -6.6438 to 8.6438, with observed -3.541 to 7.65; higher scores indicate increased HCC likelihood. 'HCC-spec', focusing on the F12 region, differentiates HCC from 31 other cancers and normal cells, with theoretical range -3.3219 to 6.64385 (observed -3.3219 to 6.6297). Higher scores signify greater HCC specificity. Both scores, modeled via logistic regression in Prism, predict HCC probability, linking higher scores with higher HCC likelihood or specificity | 6 months to 1 year |
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Inclusion Criteria:
Exclusion Criteria for HCC:
Exclusion Criteria for HepB:
Exclusion Criteria for Healthy Controls:
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HCC staging will be diagnosed according to EASL-EORTC Clinical Practice Guidelines: Management of hepatocellular carcinoma. The patients will be divided into four groups, including Stage 0 (1) (n=100), stage A (2) (n=100), stage B (3) (n=100) and stage C+D (4) (n=100). As controls we will recruit chronic hepatitis B (n=100), which diagnose will be confirmed using AASLD practice guideline for chronic Hepatitis B, and healthy sex and age matched controls (n=100).
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| Name | Affiliation | Role |
|---|---|---|
| Wasif Ali Khan, PhD | nternational Centre for Diarrhoeal Disease Research | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Infectious Diseases Division | Dhaka | Bangladesh |
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| ID | Title | Description |
|---|---|---|
| FG000 | Healthy | This group included 49 healthy sex and age matched controls. |
| FG001 | Chronic Hepatitis B | This group included 51 Chronic hepatitis B patients |
| FG002 | HCC Stage 0 | This group included two patients with stage 0 (very early stage) |
| FG003 | HCC Stage A | This group included 32 patients with stage A (early stage) |
| FG004 | HCC Stage B | This group included 86 patients with stage B (intermediate stage) of HCC |
| FG005 | HCC Stage C | This group included 106 patients with stage C (advanced stage) of HCC |
| FG006 | HCC Stage D | This group included 76 patients with stage D (end stage) of HCC |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
402 participants were recruited from the Dhaka area to the study included 49 healthy controls, 51 Chronic hepatitis B patients and 302 HCC patients from stages 0 to D (HCC O n=2, HCCA n=32, HCC B n=86, HCC C n=106, HCC D n=76)
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| ID | Title | Description |
|---|---|---|
| BG000 | Healthy | Healthy controls |
| BG001 | Chronic Hepatitis B | Chronic hepatitis B patients |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Continuous | Mean |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Calculation of M Scores and HCC Probability Scores | We normalized median methylation values (range 0-100) for 'HCC-detect' (Hepatocellular Carcinoma Detection) and 'HCC-spec' (Hepatocellular Carcinoma Specificity). 'HCC-detect' is derived from CHFR, VASH2, CCNJ, and GRID2IP regions, aiming to broadly identify HCC. Theoretical range is -6.6438 to 8.6438, with observed -3.541 to 7.65; higher scores indicate increased HCC likelihood. 'HCC-spec', focusing on the F12 region, differentiates HCC from 31 other cancers and normal cells, with theoretical range -3.3219 to 6.64385 (observed -3.3219 to 6.6297). Higher scores signify greater HCC specificity. Both scores, modeled via logistic regression in Prism, predict HCC probability, linking higher scores with higher HCC likelihood or specificity | Out of the 402 participants, five did not meet the sequencing depth threshold (i.e., less than 100 reads per gene) for at least one gene, and they were excluded from subsequent analysis. | Posted | Mean | Standard Deviation | units on a scale | 6 months to 1 year |
|
Our observational study, focused on identifying biomarkers for HCC detection, did not involve the collection or monitoring of adverse event data. The duration for participant involvement spanned from the study start date of August 20, 2018, to the primary completion date of June 1, 2020. During this period, spanning approximately 1 year and 9 months, there were 0 participants at risk for adverse events due to the non-interventional nature of the study.
All-Cause Mortality, Serious, and Other (Not Including Serious) Adverse Events were not monitored or assessed because the study was non-interventional and focused solely on testing liquid biopsy methylation markers. Therefore, no participants were at risk for adverse events.
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Healthy | 49 healthy controls | 0 |
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Inherent challenges of our study included a regional focus and a reliance on observational data, which may limit broader applicability and prevent establishing causal relationships. Technical aspects, like the exclusion of participants due to insufficient sequencing depth (less than 100 reads per gene for five out of 402 participants), reflect constraints in data robustness. These elements represent areas for potential enhancement in future research
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| David Cheishvili | HKG Epitherapeutics | 5142601972 | david.cheishvili@hkgepitherapeutics.com |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Jan 11, 2022 | Dec 18, 2023 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D006528 | Carcinoma, Hepatocellular |
| ID | Term |
|---|---|
| D000230 | Adenocarcinoma |
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |
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Peripheral blood monocyte (PBMC) DNA and plasma free circulating DNA
|
| BG002 |
| HCC Stage 0 |
HCC patients with Stage 0 |
| BG003 | HCC Stage A | HCC patients with Stage A |
| BG004 | HCC Stage B | HCC patients with Stage B |
| BG005 | HCC Stage C | HCC patients with Stage C |
| BG006 | HCC Stage D | HCC patients with Stage D |
| BG007 | Total | Total of all reporting groups |
| years |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Race (NIH/OMB) | Count of Participants | Participants |
|
| Region of Enrollment | Count of Participants | Participants |
|
| OG000 |
| Healthy |
Healthy controls |
| OG001 | Chronic Hepatitis B | Patients with chronic hepatitis B |
| OG002 | HCC Stage 0 | Patients with stage 0 HCC |
| OG003 | HCC Stage A | Patients with stage A HCC |
| OG004 | HCC Stage B | Patients with stage B HCC |
| OG005 | HCC Stage C | Patients with stage C HCC |
| OG006 | HCC Stage D | Patients with stage D HCC |
|
|
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| EG001 | Chronic Hepatitis B | 51 Chronic hepatitis B patients | 0 | 0 | 0 | 0 | 0 | 0 |
| EG002 | HCC Stage 0 | 2 patients with stage 0 of HCC | 0 | 0 | 0 | 0 | 0 | 0 |
| EG003 | HCC Stage A | 32 patients with stage A of HCC | 0 | 0 | 0 | 0 | 0 | 0 |
| EG004 | HCC Stage B | 86 patients with stage B of HCC | 0 | 0 | 0 | 0 | 0 | 0 |
| EG005 | HCC Stage C | 106 patients with stage C of HCC | 0 | 0 | 0 | 0 | 0 | 0 |
| EG006 | HCC Stage D | 76 patients with stage D of HCC | 0 | 0 | 0 | 0 | 0 | 0 |
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| D009369 | Neoplasms |
| D008113 | Liver Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D004066 | Digestive System Diseases |
| D008107 | Liver Diseases |