Hepatocellular carcinoma (HCC) is one of the most common malignant tumors in the world, especially in Asia and Africa countries. The distribution pattern shows geographical variation and pathogesis in multifactors as environment, infection, nutrition, metabolism, and endocrine contribute to hepatocarcinogenesis. Alpha fetal protein (AFP), the major tumor marker used at present accounts only 50% HCC diagnostic efficiency. This study aims to identify potential tumor markers or suppressor genes for further application in early HCC diagnoses and treatments. Therefore we utilized available cDNA microarray databases in conjunction with other bioinformatic resources to identify our candidate genes related to HCCs. cDNA microarray technology and bioinformatic resources which enable investigators to obtain comprehensive data with respect to gene-expression profiles, is progressing rapidly. The Okabe¡¦s and Stanford¡¦s HCC database were our major data-mining material. A total of 85 potential tumor markers and 106 potential tumor suppressors were found via preliminary in silico datamining. We furthermore narrowed down to 14 candidate tumor markers and 7 candidate tumor suppressor genes by the way of quantitative RT-PCR technologies were applied in various HCC cancer cell lines and 21 patient¡¦s in pair, tumor/non-tumor tissues to confirm gene expression profile. The results revealed that 6 genes (PRO2000, PYGB, STMN1, AFM, C8FW, NNMT) conformed to our data-mining studies.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0728103-150443 |
| Date | 28 July 2003 |
| Creators | Peng, Chung-Min |
| Contributors | none, none, Yu-Lin Shiue, none |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728103-150443 |
| Rights | unrestricted, Copyright information available at source archive |
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