Analysis of gene expression profiles as a tool to uncover tumor markers of liver cancer progression in a rat model
| Autor: | Olga Beltrán-Ramírez, Nancy Cervante-Anaya, Saúl Villa-Treviño, Martha Estela Salcido-Neyoy, Verónica R. Vásquez-Garzón |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Pathology
medicine.medical_specialty Candidate gene Oncogene General Neuroscience Cancer Articles General Medicine Biology medicine.disease Molecular medicine General Biochemistry Genetics and Molecular Biology Transcriptome Exon Gene expression medicine General Pharmacology Toxicology and Pharmaceutics Liver cancer |
| Zdroj: | Biomedical Reports. 3:167-172 |
| ISSN: | 2049-9442 2049-9434 |
| Popis: | Establishing a transcriptomic profile of human hepatocellular liver cancer (HCC) progression is a complex undertaking. A rat model of HCC was employed to develop a transcriptomic profile. Using three interventions, preneoplastic lesions appeared after 30 days and they progressed to HCC by 9 months. Preneoplastic and cancer lesions were characterized for transcriptomic analysis, and RNA from total liver homogenates was obtained at 1, 7, 11 and 16 days after the initiation treatment. RNA from dissected persistent preneoplastic lesions, adjacent tissue or cancer tissue was used for 30 days, and 5, 9, 12 and 18 months. The GeneChip® Rat Exon 1.0 ST arrays, Partek software and an Affymetrix console were employed for these analyses. LGALS3BP was differentially expressed at each time point, from the initial period, through the preneoplastic evolution period and until the end of cancer progression period. Twelve differentially expressed genes common to the preneoplastic evolution and to the cancer progression period were detected, which included ABCC3. Validation of the microarrays was confirmed by reverse transcription-quantitative polymerase chain reaction of six genes, including LGALS3BP and ABCC3. Of note, the proteins of these two genes are associated with the multidrug response complex, and evasion of immune surveillance and negative regulation of T cell proliferation. This model is useful for identifying candidate genes, and to validate them with regards to determining their relevance in rat HCC progression. |
| Databáze: | OpenAIRE |
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