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Biomarkers in Stored Tumor Samples From Younger Patients With Liver Cancer

Molecular Analysis of Liver Cancer

Status
Withdrawn
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT00899002
Enrollment
0
Registered
2009-05-12
Start date
2007-07-31
Completion date
2009-05-31
Last updated
2013-04-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Liver Cancer

Keywords

childhood hepatocellular carcinoma, childhood liver cancer, adult primary liver cancer, adult primary hepatocellular carcinoma

Brief summary

RATIONALE: Studying samples of tumor tissue from patients with cancer in the laboratory may help doctors learn more about changes that occur in DNA and identify biomarkers related to cancer. PURPOSE: This laboratory study is looking at biomarkers in stored tumor samples from younger patients with liver cancer.

Detailed description

OBJECTIVES: * To characterize, at a molecular level, archived samples of tissue from young patients with fibrolamellar carcinoma and hepatocellular carcinoma in non-cirrhotic livers matched for age and sex. * To perform genomic analysis on these tissue samples using array comparative genomic hybridization. * To perform targeted gene mutation analysis on these samples by PCR. * To perform proteomic profiling on fixed tissues in these samples by various proteomic methods, including IHC and mass spectrometry. * To look for association between molecular aberrations and clinicopathologic features in these samples. OUTLINE: Archived tissue samples are collected from the pathology department at Vanderbilt University Medical Center and from the Mayo Clinic in Rochester, Minnesota. Tissue samples are analyzed by genomic analysis using array comparative genomic hybridization, target gene mutation analysis by PCR, and proteomic profiling on fixed tissues using various proteomic methods, including IHC and mass spectrometry. Samples are also examined for association between molecular aberrations and clinicopathologic features found in each disease. Clinical patient data (i.e., age, sex, race, date of diagnosis, risk factors, histology, surgical staging, follow-ups, date of death, and adjuvant therapy) are also collected.

Interventions

GENETICcomparative genomic hybridization
GENETICmutation analysis
GENETICpolymerase chain reaction

Not noted

GENETICproteomic profiling
OTHERimmunohistochemistry staining method

not noted

OTHERlaboratory biomarker analysis

not noted

OTHERmass spectrometry

not noted

OTHERmedical chart review

not noted

Sponsors

National Cancer Institute (NCI)
CollaboratorNIH
Vanderbilt-Ingram Cancer Center
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

DISEASE CHARACTERISTICS: * Diagnosis of fibrolamellar carcinoma or hepatocellular carcinoma in a non-cirrhotic liver * Archived tumor specimens available for analysis from Vanderbilt University or Mayo Clinic

Exclusion criteria

* Not specified PATIENT CHARACTERISTICS: * Not specified PRIOR CONCURRENT THERAPY: * Not specified

Design outcomes

Primary

MeasureTime frameDescription
Identification of proteomic profiles and molecular pathways involved in tumor progressionAfter collection of tissue samplesGenomic analysis, targeted gene mutation analysis, immunohistochemistry, and mass spectrometry will be employed to identify proteomic profiles and specific molecular pathways involved in tumor progression of fibrolamellar carcinoma and hepatocellular carcinoma

Secondary

MeasureTime frameDescription
Association between fibrolamellar carcinoma and hepatocellular carcinoma in terms of molecular aberrations and clinicopathologic featuresAfter molecular analysis of tissue and after collection of clinicopathologic dataCompare and contrast fibrolamellar carcinoma with hepatocellular carcinoma in terms of the molecular differences, tissue pathologies, and medical histories.

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026