Hepatocellular CarcinomaNCT03300414
Biologic Basis of Liver Cancer From Chronic Hepatitis B
An observational study of Hepatocellular Carcinoma and Hepatitis B, Chronic, run by University of California, Davis at 1 site in United States.
Trial summary
The focus of the study is to identify viral factors and host immune responses that differentiate HBV-related HCC patients from HBV patients who have not progressed to HCC. To that end, the investigators will compare gene expression levels between HCC patients and non-HCC patients categorized into high and low risk… Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Hepatocellular Carcinoma, Hepatitis B, Chronic
- What is being tested?
- One time blood draw
- How many people
- 2 participants
- Where
- 1 siteUnited States
- Study dates
- 20 Mar 2017to 14 Dec 2018
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Asian Americans with co-infection of Chronic Hepatitis B with Hepatocellular Carcinoma
Who may be able to join
- Asian Americans
- Aged 18 years or older with a confirmed diagnosis of HCC and liver cancer from chronic hepatitis B.
- The diagnosis of liver cancer can be made with by meeting radiologic criteria for HCC or liver histology obtained through liver biopsy.
Who cannot join
- Co-infection with hepatitis C virus (HCV) or HIV
- Use of immunosuppressive medications
- Inability to give informed consent
- Prisoners
- Pregnant women
- Cognitively impaired individuals or inability to provide informed consent
Trial locations and contacts
1 site in 1 country.
United States1 site
University of California, Davis
Sacramento, California, 95817
About this study
The focus of the study is to identify viral factors and host immune responses that differentiate HBV-related HCC patients from HBV patients who have not progressed to HCC. To that end, the investigators will compare gene expression levels between HCC patients and non-HCC patients categorized into high and low risk profiles. The investigators will perform ANOVA to compare three groups (HCC, high risk, low risk). Multiple comparison corrections will be performed using Benjamini and Hochberg False Discovery Rate (FDR) with a 90% confidence that the discovery lists will contain no more than 5% false positives (FDR<0.05) (PMID: 12584122, 11682119). A p-value <0.05 is considered statistically significant using this multiple comparison correction approach. Post-hoc Student-Newman-Keuls or Tukey tests will be used following ANOVA for comparisons of HCC patients with high risk and low risk. If data are not normally distributed when log-transformed, then Kruskall-Wallis tests will be used. ANCOVA will be used to adjust for the effects of covariates, such as age, gender, and HBV genotype (B or C). Further, the investigators often use an additional 2-fold change criterion for significance because the investigators consider a fold change of this magnitude to be biologically significant. Hierarchical clustering analyses and principal component analyses will be used to visualize how well the genes separate the groups, or to discover new subgroups. For the analysis of SNVs, the exact binomial test will be performed and p-values will be adjusted by the Benjamini-Hochberg correction.
Read the detailed description
- Objectives
Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related death worldwide (Jemel et al CA Cancer J Clin 2011). Asian and Pacific Islander (API) Americans are perennially the most affected racial group with regard to HCC incidence and HCC-related mortality due to the high prevalence of chronic hepatitis B (CHB). While APIs carry the greatest burden of CHB-related HCC, differences in outcome exist amongst the different Asian ethnic groups. The investigators have previously analyzed ethnically disaggregated data from 6,068 Californians of Asian ancestry with HCC diagnosed between 1998 and 2007 (Ryerson et al Cancer 2016). Cause-specific mortality was significantly higher among Laotian/Hmong (hazard ratio, 2.08; 95% CI, 1.78-2.44) and Cambodian patients (hazard ratio 1.26; 95% CI, 1.06-1.51). Notably, Laotian/Hmong patients presented at an early age and with more advanced stages of HCC suggesting that these differences were not related to delays in diagnosis or presentation, but rather biologic differences in the behavior of the HCC. In fact, both viral factors and host immune responses have been associated with the prognosis of CHB-related HCC. Currently, the investigators are investigating these potential mechanisms in Hmong/Laotian, Chinese, and Vietnamese individuals infected with the hepatitis B virus (HBV). In contrast to evaluating mechanisms associated with poor outcomes once HCC has developed, the current proposal will build upon the data the investigators have collected with the goal to identify markers of HCC development.
Central hypothesis is that prior to the development of HBV-related HCC, there are specific biologic responses reflected in the gene expression profile of whole blood that can differentiate CHB patients with and without HCC.
In order to test this hypothesis the investigators will perform the following specific aims:
Part 1 (Aim #1): Associate viral sequences and host gene expression signatures with established HCC risk factors in Asian Americans.
In order to meet this aim, blood samples will be obtained from 10 consented subjects. The DNA extracted from these samples will be used as part of an ongoing study comparing viral sequences and gene expression profiles across Asian ethnic groups, the investigators will analyze the same data comparing individuals with high and low HCC risk factors (i.e. the presence and absence of cirrhosis, high HBV viral load, men who have sex with men).
Part 2 (Aim #2): Investigate HBV-related HCC tissue for HCC-associated viral sequences and human proteins. HCC tissue sections on slides with no personal health information will be obtained from UC Davis Cancer Center Biorepository (CCB) and other biobanks including, but not limited to, Cooperative Human Tissue Network. From previously banked HCC tissue, the investigators will 1) extract and sequence HBV DNA from tumor tissue and compare it to our collection of non-HCC HBV sequences and 2) stain the tissues for proteins corresponding to genes identified in whole blood gene expression analysis.
- Background
According to an analysis of the Surveillance Epidemiology and End Results (SEER) database, API had the highest age-adjusted HCC incidence rates from 2006-2010 at 4.7 per 100,000 followed by Hispanics (3.2), Blacks (2.5), and whites (1.4). The highest age-specific HCC incidence rate found was 54.7 per 100,000 in API greater than 65 years of age. In this analysis, HCC-related mortality among API was the highest compared to other racial groups (2.8 per 100,000 compared to 0.9 per 100,000 for whites) (Altekruse et al. AJG 2014). This increased risk for HCC and its complications among API has been attributed to chronic hepatitis B (CHB) (El Sarag et al. Gastroenterology 2012). For persons with CHB, there is a strong association between increasing hepatitis B virus (HBV) DNA levels and increasing incidence of HCC and cirrhosis (Chen et al. JAMA 2006). The most common routes of HBV transmission are vertical from infected mothers to infants and horizontal in early childhood among those living in areas of high HBV endemicity (Nguyen et al. J Cancer Educ 2007) Despite the availability of a preventative vaccine, global vaccine coverage is only 75% and does not address the disease burden in the estimated 350 million people infected with HBV worldwide (Meireles et al. World J Hepatol 2015).
Viral factors include viral load, genotype, and specific mutations. Notably, genotype B is associated with the early onset of HCC and poor prognosis (Yin et al. Carcinogenesis 2008) Viral mutants including the A1762T/G1764A basal core promoter mutations and Pre-S region deletions are also associated with poor HCC outcomes and may be the result of selection by host immune responses and activation of endogenous cytidine deaminase by pro-inflammatory cytokines (e.g. TNF-alpha) induced by NFkappa-B leading to G-to-A hypermutation (Chen et al. Eur J Cancer 2012). Other immune response pathways have been associated with outcomes from HBV-related HCC including the presence of natural killer cells, CD8+ T cells, regulatory T cells as well as IL-2 and IL-15 levels in the tumor microenvironment (Bowlus CL, Tumor Immunology 2007)
Applicability of NGS to sequencing of HBV:
NGS will allow the investigation of viral factors at multiple levels, including the frequency of genotypes and mutations, viral diversity, and mutation rates as a possible indication of cytidine deaminase activity. In addition, this technology will be used to explore the immune responses based upon transcript profiling. Further, analysis can also be done on T cell receptor usage and HLA alleles, which have been associated with HBV-related outcomes as well as association analysis of SNV within transcription profiles.
Preliminary data:
Under the R21, the investigators are utilizing NGS on blood samples from treatment naïve Chinese, Vietnamese, and Laotian/Hmong patients to identify viral sequences and expression profiles from whole blood that may segregate with Laotian/Hmong origins and thus be candidates that explain the poor HCC outcomes in this population. In addition, this data can be used to identify viral sequences and expression patterns which associate with known HCC-risk factors and may then be developed as potential biomarkers for the HCC surveillance among HBV infected people. The first step in this biomarker development process will need testing in a cohort of patients with HBV-related HCC and is the thrust of this protocol . Enrollment for this study has been completed (n = 99) and blood samples are currently being analyzed.
The investigators conducted a pilot study using NGS for transcriptome profiling of whole blood samples to demonstrate the power of blood genomics for identifying molecular profiles associated with specific disease states and providing ultra-sensitive detection of molecular pathways associated with HBV pathogenesis (Caruccio et al. Methods Mol Bol 2011). RNA sequencing (RNA-Seq) was performed on total RNA isolated from whole blood samples obtained from a cohort of 10 Asian American individuals, composed of 3 healthy individuals (2 Chinese, 1 Filipino), 6 HBsAg-positive subjects without HCC (5 Chinese, 1 Vietnamese), and 1 HBsAg-positive Laotian subject with HCC. The HCC patient possessed a distinctive expression signature defined by 634 differentially expressed genes. Meta-analysis of the 173-gene overexpression cluster with immune cell transcriptome data (Li et al. Bioinformatics 2009) revealed that this "HBV-related HCC signature" contained prominent neutrophil- and macrophage-driven components, as well as up-regulated expression of regulatory T cell (TReg)-related genes, which is associated with worse prognosis for HCC (Tepper et al ICG Americas 2012 International Conference). Gene ontology analysis indicated over-represented processes consistent with HCC pathogenesis, including inflammation. The investigators plan to validate this "HBV-related HCC signature" in a larger cohort of patients with HBV-related HCC.
Additional information about preliminary data can be found on the grant attached with this submission.
- Conditions
- Hepatocellular Carcinoma, Hepatitis B, Chronic
- Being tested
- One time blood draw
- Medical subject headings
- Carcinoma, Hepatocellular, Hepatitis B, Chronic
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
One time blood drawOther
Same as part 1
| Study group | Role | What they receive |
|---|---|---|
| Collection of blood specimen | Collection of blood specimen from patients will be performed during the course of routine medical care at UC Davis with no prospective follow up period. The duration anticipated to enroll all 10 study subjects will be 1 year. The estimated date for the investigator to complete analysis and publication is 2 years. Receives: Other: One time blood draw | |
| Liver Biopsy slides | Up to twenty (20) de-identified hepatocellular carcinoma (HCC) tissue sections on biopsy slides or frozen sections and associated information such as age, sex, race, ethnicity, treatment status, pathological diagnoses, and date of procedure will be obtained from UC Davis Cancer Center Biorepository (CCB) and outside tissue biobanks, including, but not limited to, Cooperative Human Tissue Network (CHTN). The duration anticipated to complete analysis and publication is 2 years. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Associate viral sequences and host gene expression signatures with established HCC risk factors in Asian Americans.
In order to meet this aim, blood samples will be obtained from 10 consented subjects. The DNA extracted from these samples will be used as part of an ongoing study comparing viral sequences and gene expression profiles across Asian ethnic groups, we will analyze the same data comparing individuals with high and low HCC risk factors (i.e. the presence and absence of cirrhosis, high HBV viral load, men who have sex with men).
Measured: 1 year
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted3 Oct 2017
- Study start20 Mar 2017
- Primary completion14 Dec 2018
- Study completion14 Dec 2018
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Hepatocellular CarcinomaStudies of the same condition, open and under way.
- More trials run by University of California, DavisThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 2 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of California, Davis
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03300414
- Sponsor's protocol ID
- 959251
- Status last verified
- Apr 2019
- First submitted
- 28 Sep 2017
- Last updated
- 11 Apr 2019
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 11 Apr 2019. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Biologic Basis of Liver Cancer From Chronic Hepatitis B
- ClinicalTrials.gov ID
- NCT03300414
- Acronym / sponsor ID
- 959251
- Conditions
- Hepatocellular Carcinoma, Hepatitis B, Chronic
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 2 participants (actual)
- Lead sponsor
- University of California, DavisUniversity, hospital or other
- Study start
- 20 Mar 2017 (actual)
- Primary completion
- 14 Dec 2018 (actual)
- Study completion
- 14 Dec 2018 (actual)
- First posted
- 3 Oct 2017 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The focus of the study is to identify viral factors and host immune responses that differentiate HBV-related HCC patients from HBV patients who have not progressed to HCC. To that end, the investigators will compare gene expression levels between HCC patients and non-HCC patients categorized into high and low risk profiles. The investigators will perform ANOVA to compare three groups (HCC, high risk, low risk). Multiple comparison corrections will be performed using Benjamini and Hochberg False Discovery Rate (FDR) with a 90% confidence that the discovery lists will contain no more than 5% false positives (FDR<0.05) (PMID: 12584122, 11682119). A p-value <0.05 is considered statistically significant using this multiple comparison correction approach. Post-hoc Student-Newman-Keuls or Tukey tests will be used following ANOVA for comparisons of HCC patients with high risk and low risk. If data are not normally distributed when log-transformed, then Kruskall-Wallis tests will be used. ANCOVA will be used to adjust for the effects of covariates, such as age, gender, and HBV genotype (B or C). Further, the investigators often use an additional 2-fold change criterion for significance because the investigators consider a fold change of this magnitude to be biologically significant. Hierarchical clustering analyses and principal component analyses will be used to visualize how well the genes separate the groups, or to discover new subgroups. For the analysis of SNVs, the exact binomial test will be performed and p-values will be adjusted by the Benjamini-Hochberg correction.
Detailed description
- Objectives
Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related death worldwide (Jemel et al CA Cancer J Clin 2011). Asian and Pacific Islander (API) Americans are perennially the most affected racial group with regard to HCC incidence and HCC-related mortality due to the high prevalence of chronic hepatitis B (CHB). While APIs carry the greatest burden of CHB-related HCC, differences in outcome exist amongst the different Asian ethnic groups. The investigators have previously analyzed ethnically disaggregated data from 6,068 Californians of Asian ancestry with HCC diagnosed between 1998 and 2007 (Ryerson et al Cancer 2016). Cause-specific mortality was significantly higher among Laotian/Hmong (hazard ratio, 2.08; 95% CI, 1.78-2.44) and Cambodian patients (hazard ratio 1.26; 95% CI, 1.06-1.51). Notably, Laotian/Hmong patients presented at an early age and with more advanced stages of HCC suggesting that these differences were not related to delays in diagnosis or presentation, but rather biologic differences in the behavior of the HCC. In fact, both viral factors and host immune responses have been associated with the prognosis of CHB-related HCC. Currently, the investigators are investigating these potential mechanisms in Hmong/Laotian, Chinese, and Vietnamese individuals infected with the hepatitis B virus (HBV). In contrast to evaluating mechanisms associated with poor outcomes once HCC has developed, the current proposal will build upon the data the investigators have collected with the goal to identify markers of HCC development.
Central hypothesis is that prior to the development of HBV-related HCC, there are specific biologic responses reflected in the gene expression profile of whole blood that can differentiate CHB patients with and without HCC.
In order to test this hypothesis the investigators will perform the following specific aims:
Part 1 (Aim #1): Associate viral sequences and host gene expression signatures with established HCC risk factors in Asian Americans.
In order to meet this aim, blood samples will be obtained from 10 consented subjects. The DNA extracted from these samples will be used as part of an ongoing study comparing viral sequences and gene expression profiles across Asian ethnic groups, the investigators will analyze the same data comparing individuals with high and low HCC risk factors (i.e. the presence and absence of cirrhosis, high HBV viral load, men who have sex with men).
Part 2 (Aim #2): Investigate HBV-related HCC tissue for HCC-associated viral sequences and human proteins. HCC tissue sections on slides with no personal health information will be obtained from UC Davis Cancer Center Biorepository (CCB) and other biobanks including, but not limited to, Cooperative Human Tissue Network. From previously banked HCC tissue, the investigators will 1) extract and sequence HBV DNA from tumor tissue and compare it to our collection of non-HCC HBV sequences and 2) stain the tissues for proteins corresponding to genes identified in whole blood gene expression analysis.
- Background
According to an analysis of the Surveillance Epidemiology and End Results (SEER) database, API had the highest age-adjusted HCC incidence rates from 2006-2010 at 4.7 per 100,000 followed by Hispanics (3.2), Blacks (2.5), and whites (1.4). The highest age-specific HCC incidence rate found was 54.7 per 100,000 in API greater than 65 years of age. In this analysis, HCC-related mortality among API was the highest compared to other racial groups (2.8 per 100,000 compared to 0.9 per 100,000 for whites) (Altekruse et al. AJG 2014). This increased risk for HCC and its complications among API has been attributed to chronic hepatitis B (CHB) (El Sarag et al. Gastroenterology 2012). For persons with CHB, there is a strong association between increasing hepatitis B virus (HBV) DNA levels and increasing incidence of HCC and cirrhosis (Chen et al. JAMA 2006). The most common routes of HBV transmission are vertical from infected mothers to infants and horizontal in early childhood among those living in areas of high HBV endemicity (Nguyen et al. J Cancer Educ 2007) Despite the availability of a preventative vaccine, global vaccine coverage is only 75% and does not address the disease burden in the estimated 350 million people infected with HBV worldwide (Meireles et al. World J Hepatol 2015).
Viral factors include viral load, genotype, and specific mutations. Notably, genotype B is associated with the early onset of HCC and poor prognosis (Yin et al. Carcinogenesis 2008) Viral mutants including the A1762T/G1764A basal core promoter mutations and Pre-S region deletions are also associated with poor HCC outcomes and may be the result of selection by host immune responses and activation of endogenous cytidine deaminase by pro-inflammatory cytokines (e.g. TNF-alpha) induced by NFkappa-B leading to G-to-A hypermutation (Chen et al. Eur J Cancer 2012). Other immune response pathways have been associated with outcomes from HBV-related HCC including the presence of natural killer cells, CD8+ T cells, regulatory T cells as well as IL-2 and IL-15 levels in the tumor microenvironment (Bowlus CL, Tumor Immunology 2007)
Applicability of NGS to sequencing of HBV:
NGS will allow the investigation of viral factors at multiple levels, including the frequency of genotypes and mutations, viral diversity, and mutation rates as a possible indication of cytidine deaminase activity. In addition, this technology will be used to explore the immune responses based upon transcript profiling. Further, analysis can also be done on T cell receptor usage and HLA alleles, which have been associated with HBV-related outcomes as well as association analysis of SNV within transcription profiles.
Preliminary data:
Under the R21, the investigators are utilizing NGS on blood samples from treatment naïve Chinese, Vietnamese, and Laotian/Hmong patients to identify viral sequences and expression profiles from whole blood that may segregate with Laotian/Hmong origins and thus be candidates that explain the poor HCC outcomes in this population. In addition, this data can be used to identify viral sequences and expression patterns which associate with known HCC-risk factors and may then be developed as potential biomarkers for the HCC surveillance among HBV infected people. The first step in this biomarker development process will need testing in a cohort of patients with HBV-related HCC and is the thrust of this protocol . Enrollment for this study has been completed (n = 99) and blood samples are currently being analyzed.
The investigators conducted a pilot study using NGS for transcriptome profiling of whole blood samples to demonstrate the power of blood genomics for identifying molecular profiles associated with specific disease states and providing ultra-sensitive detection of molecular pathways associated with HBV pathogenesis (Caruccio et al. Methods Mol Bol 2011). RNA sequencing (RNA-Seq) was performed on total RNA isolated from whole blood samples obtained from a cohort of 10 Asian American individuals, composed of 3 healthy individuals (2 Chinese, 1 Filipino), 6 HBsAg-positive subjects without HCC (5 Chinese, 1 Vietnamese), and 1 HBsAg-positive Laotian subject with HCC. The HCC patient possessed a distinctive expression signature defined by 634 differentially expressed genes. Meta-analysis of the 173-gene overexpression cluster with immune cell transcriptome data (Li et al. Bioinformatics 2009) revealed that this "HBV-related HCC signature" contained prominent neutrophil- and macrophage-driven components, as well as up-regulated expression of regulatory T cell (TReg)-related genes, which is associated with worse prognosis for HCC (Tepper et al ICG Americas 2012 International Conference). Gene ontology analysis indicated over-represented processes consistent with HCC pathogenesis, including inflammation. The investigators plan to validate this "HBV-related HCC signature" in a larger cohort of patients with HBV-related HCC.
Additional information about preliminary data can be found on the grant attached with this submission.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Collection of blood specimen | – | Other: One time blood drawCollection of blood specimen from patients will be performed during the course of routine medical care at UC Davis with no prospective follow up period. The duration anticipated to enroll all 10 study subjects will be 1 year. The estimated date for the investigator to complete analysis and publication is 2 years. |
| Liver Biopsy slides | – | –Up to twenty (20) de-identified hepatocellular carcinoma (HCC) tissue sections on biopsy slides or frozen sections and associated information such as age, sex, race, ethnicity, treatment status, pathological diagnoses, and date of procedure will be obtained from UC Davis Cancer Center Biorepository (CCB) and outside tissue biobanks, including, but not limited to, Cooperative Human Tissue Network (CHTN). The duration anticipated to complete analysis and publication is 2 years. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Asian Americans with co-infection of Chronic Hepatitis B with Hepatocellular Carcinoma
Key inclusion criteria (3 listed)
- Asian Americans
- Aged 18 years or older with a confirmed diagnosis of HCC and liver cancer from chronic hepatitis B.
- The diagnosis of liver cancer can be made with by meeting radiologic criteria for HCC or liver histology obtained through liver biopsy.
Key exclusion criteria (6 listed)
- Co-infection with hepatitis C virus (HCV) or HIV
- Use of immunosuppressive medications
- Inability to give informed consent
- Prisoners
- Pregnant women
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| One time blood drawSame as part 1 | Other | Collection of blood specimen |
Primary outcome
Associate viral sequences and host gene expression signatures with established HCC risk factors in Asian Americans.
Time frame: 1 year
In order to meet this aim, blood samples will be obtained from 10 consented subjects. The DNA extracted from these samples will be used as part of an ongoing study comparing viral sequences and gene expression profiles across Asian ethnic groups, we will analyze the same data comparing individuals with high and low HCC risk factors (i.e. the presence and absence of cirrhosis, high HBV viral load, men who have sex with men).
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 11 Apr 2019.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Hepatocellular Carcinoma and Hepatitis B, Chronic, run by University of California, Davis at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 11 Apr 2019. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Associate viral sequences and host gene expression signatures with established HCC risk factors in Asian Americans. (time frame: 1 year). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 11 Apr 2019.