To disclose genetic mechanisms involved in development or progression of hepatocellular carcinoma (HCC), we used a genome-wide cDNA microarray consisting of 8,448 genes to compare gene-expression profiles among 12 liver-cirrhosis nodules (LCNs) and five specimens of HCC excised from a single patient and carefully prepared by laser-capture microdissection (LCM). The expression patterns enabled us to identify 72 genes that were frequently upregulated and 57 that were downregulated specifically in the LCN specimens as compared to the HCCs. We also documented upregulation of 31 genes and downregulation of seven others in both HCC and LCN tissues. Several types of intracellular kinase, including receptor-type kinase, were upregulated in LCNs. Expression patterns of HCCs and LCNs generally represented two genetically distinct groups when subjected to a hierarchical clustering analysis, although expression profiles of two of the LCNs resembled the HCC pattern. Analysis of allelic losses at microsatellite loci revealed that LCNs showed frequent loss of heterozygosity (LOH) (33%) in chromosomal regions 6q and 22q; over half of the LCNs had lost an allele for at least one of the 28 loci examined. The presence of early genetic changes among LCNs, with additional genetic changes occurring during formation of HCCs, suggests that hepatocellular carcinogenesis follows the multistep model established for colon cancers and that some LCNs may be precancerous lesions.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10038-004-0141-8DOI Listing

Publication Analysis

Top Keywords

liver-cirrhosis nodules
8
gene-expression profiles
8
lcns
8
expression patterns
8
genetic changes
8
characterization liver-cirrhosis
4
nodules analysis
4
analysis gene-expression
4
profiles patterns
4
patterns allelic
4

Similar Publications

Objectives: Contrast enhanced ultrasound (CEUS) now joins the ranks of CT and MRI for noninvasive diagnosis of hepatocellular carcinoma (HCC). CEUS LI-RADS provides greater than 95% specificity for diagnosis within LR-5. Unlike CT/MRI, CEUS is nodule based.

View Article and Find Full Text PDF

Aims: To evaluate the efficacy of re-resection in recurrent hepatocellular carcinoma (rHCC), identify prognostic factors, and provide clinical guidance.

Methods: A retrospective analysis was conducted on 130 rHCC patients undergoing re-resection and 60 primary HCC patients undergoing initial hepatectomy at Peking University People's Hospital (2014-2022). Disease-free survival (DFS) and overall survival (OS) were compared.

View Article and Find Full Text PDF

Aims: Exploring fibrosis index-4 (FIB-4)'s predictive value for HBV-related hepatocellular carcinoma (HCC) in assessing recurrence following stereotactic body radiation therapy (SBRT) in patients with HBV-related HCC.

Methods: HBV-related HCC patients who underwent SBRT were retrospectively enrolled from March 2012 to March 2020. Patients were divided into recurrence and non-recurrence groups based on the HCC recurrence situation.

View Article and Find Full Text PDF

Purpose: To achieve a historical perspective, the chronological changes in primary liver cancer over a 20-year period were investigated at a single institution, focusing on shifts in etiology and the impact on imaging and pathological findings using The Liver Imaging Reporting and Data System.

Materials And Methods: A retrospective study of surgically resected primary liver cancer in 680 patients from 2001 to 2020 resulted in 434 patients with 482 nodules being analyzed. Dynamic contrast-enhanced computed tomography imaging and the Liver Imaging Reporting and Data System 2018 classification were employed.

View Article and Find Full Text PDF
Article Synopsis
  • The study focused on evaluating the outcomes of liver resection in patients with large hepatocellular carcinoma (HCC), emphasizing the challenge of surgical treatment and the poor prognosis associated with this condition.
  • Researchers analyzed data from 1710 large HCC patients to create predictive models for surgical risk, overall survival, and recurrence-free survival using regression analysis in both training and validation cohorts.
  • Key factors identified included platelet count, tumor characteristics, and liver function metrics, and the models demonstrated good predictive capability, with C-index values ranging from 0.675 to 0.773, indicating their effectiveness in forecasting patient outcomes post-surgery.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!