| Title |
Identifikation neuer Zielstrukturen beim humanen hepatozellulären Karzinom mittels genomweiter molekularer Screeninganalysen
|
|---|---|
| Published in |
Die Pathologie, September 2012
|
| DOI | 10.1007/s00292-012-1628-2 |
| Pubmed ID | |
| Authors |
T. Longerich |
| Abstract |
Molecular hepatocarcinogenesis represents a step-wise process which in most cases is associated with a well-defined chronic liver disease. By meta-analysis of classical comparative genomic hybridization (CGH) data an oncogenetic progression model could be generated (1q gain→ 8q gain → 4q loss → 16q loss → 13q loss). Array-based CGH allows the identification of etiology-dependent and independent genomic alterations. The Mouse Double Minute homologue 4 (MDM4) was shown to act as an oncogene of 1q32.1 gains in human hepatocellular carcinoma (HCC). Integration of genomic and epigenomic data facilitated the identification of tumor suppressor gene candidates in human HCC. For instance, Polo-like kinase 3 (PLK3) is frequently inactivated via promoter hypermethylation in combination with a loss of the second allele at 1p34.1. Both MDM4 overexpression and methylation-dependent inactivation of PLK3 represent potential targets for future therapeutic approaches. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 40% |
| Lecturer | 1 | 20% |
| Researcher | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 60% |
| Agricultural and Biological Sciences | 1 | 20% |
| Engineering | 1 | 20% |