Independent Prognostication and Therapy Monitoring of Breast Cancer Patients by Dna/Rna Typing of Minimal Residual Cancer Cells
| Autor: | B Böckmann, P Uciechowski, B Suchy, I Kusiak, H J Grill, G. Driesel, C. Eder, F. Austrup, M. Giesing |
|---|---|
| Rok vydání: | 2000 |
| Předmět: |
Genetic Markers
0301 basic medicine Oncology Cancer Research medicine.medical_specialty Neoplasm Residual Clinical Biochemistry Breast Neoplasms Polymerase Chain Reaction Disease-Free Survival Pathology and Forensic Medicine law.invention Cohort Studies Loss of heterozygosity 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Breast cancer law Internal medicine Biomarkers Tumor medicine Humans Clinical significance RNA Messenger RNA Neoplasm Typing Polymerase chain reaction Retrospective Studies business.industry DNA Neoplasm Prognosis medicine.disease Survival Analysis 030104 developmental biology Targeted drug delivery chemistry Genetic marker 030220 oncology & carcinogenesis Female business DNA |
| Zdroj: | The International Journal of Biological Markers. 15:94-99 |
| ISSN: | 1724-6008 |
| DOI: | 10.1177/172460080001500118 |
| Popis: | Clinical relevance, purification techniques and molecular characterization of minimal residual cancer cells (MRCC) is a controversial topic in the literature. An analytical concept including a novel isolation procedure and a panel of tests for DNA and RNA typing of MRCCs is described and clinically evaluated in this paper. The purification procedure exploiting the physical characteristics of MRCCs shows superior performance leading to >50% pure and viable tumor cells. Proof of the presence and purity of MRCCs in an isolated sample is given by multiparametric DNA typing (amplifications, mutations, losses of heterozygosity). On the basis of the proven presence of MRCCs tumor-relevant mRNAs can be adequately analyzed by normalized quantitative real-time RT-PCR. The molecular characterization of MRCCs isolated from blood of breast cancer patients could have a strong clinical impact on prognostication, drug targeting and therapy monitoring. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|