Онкологиялық патологиядағы микро-РНК рөлі.Роль микро-РНК при онкологической патологии
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Кілттік сөздер:
микро-РНК, болжам факторлары, предикторлы факторлар, микро-РНК экспрессиясы, сүт безі ісігі, факторы прогноза, предикторные факторы, экспрессия генов, рак молочной железыАннотация
Мақалада микро-РНК экспрессиясының профилі мен ісіктің фенотипі арасындағы өзара байланысы талданды, сонымен қатар, клиникалық практикада микро-РНК қолдану мүмкіндігі талқыланды. В этом обзоре анализируется взаимосвязь между профилем экспрессии микро-РНК и фенотипом опухоли, а также обсуждается возможное применение микро-РНК в клинической практикеБиблиографиялық сілтемелер
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2. Calin G. A., Dumitru C. D., Shimizu M. et al. Frequent deletions and down-regulation of micro-RNA genes miR15 and miR16 at 13q14 in
chronic lymphocytic leukemia. Proc. Natl. Acad. Sci. U. S.A. — 2002, 99, 15524-15529.
3. Lu J., Getz G., Miska E. A. et al. MicroRNA expression profiles classify human cancers. Nature. — 2005, 435, 834-838.
4. Volinia S., Calin G. A., Liu C. G. et al. A micro RNA expression signature of human solid tumors defines cancer gene targets. Proc. Natl.
Acad. Sci. U. S.A. — 2006, 103, 2257-2261.
5. Rosenfeld N., Aharonov R., Meiri E. et al. MicroRNAs accurately identify cancer tissue origin. Nat. Biotechnol. — 2008, 26, 462-469.
6. Mitra R., Bandyopadhyay S., Maulik U., Zhang M. Q. et al. SFSS Class: an integrated approach for miRNA based tumor classification. BMC
Bioinform. — 2010, 11 (Suppl.1), S22.
7. Bandyopadhyay S., Mitra R., Maulik U., Zhang M. Q. et al. Development of the human cancer microRNA network. Silence. — 2010, 1, 6.
8. O’Day,E.and Lal,A. MicroRNAs and their target gene networks in breast cancer. Breast Cancer Res. — 2010, 12, 201
9. Sotiriou C.and Pusztai L. Gene-expression signatures in breast cancer. N. Engl. J. Med. — 2009, 360, 790-800.
10. Blenkiron C., Goldstein L. D., Thorne N. P. et al. MicroRNA expression profiling of human breast cancer identifies new markers of tumor
subtype. Genome Biol. — 2007, 8, R214
11. Mattie M. D., Benz C. C., Bowers J. et al. Optimized high-throughput microRNA expression profiling provides novel biomarker assessment
of clinical prostate and breast cancer biopsies. Mol. Cancer. — 2006, 5, 24.
12. Lowery A. J., Miller N., Devaney A. et al. MicroRNA signatures predict oestrogen receptor, progesterone receptor and HER2 / neu receptor
status in breast cancer. Breast Cancer Res. — 2009, 11, R27.
13. Iorio M. V., Ferracin M., Liu C. G. et al. MicroRNA gene expression deregulation in human breast cancer. Cancer Res. — 2005, 65, 7065-
7070.
14. Park S. M., Gaur A. B., Lengyelet E. et al. The miR-200 family determines the epithelial phenotype of cancer cells by targeting the Ecadherin
repressors ZEB1 and ZEB2. Genes Dev. — 2008, 22, 894-907.
15. Baffa R., Fassan M., Volinia S. et al. MicroRNA expression profiling of human metastatic cancers identifies cancer gene targets. J. Pathol. —
2009, 219, 214-221.
2. Calin G. A., Dumitru C. D., Shimizu M. et al. Frequent deletions and down-regulation of micro-RNA genes miR15 and miR16 at 13q14 in
chronic lymphocytic leukemia. Proc. Natl. Acad. Sci. U. S.A. — 2002, 99, 15524-15529.
3. Lu J., Getz G., Miska E. A. et al. MicroRNA expression profiles classify human cancers. Nature. — 2005, 435, 834-838.
4. Volinia S., Calin G. A., Liu C. G. et al. A micro RNA expression signature of human solid tumors defines cancer gene targets. Proc. Natl.
Acad. Sci. U. S.A. — 2006, 103, 2257-2261.
5. Rosenfeld N., Aharonov R., Meiri E. et al. MicroRNAs accurately identify cancer tissue origin. Nat. Biotechnol. — 2008, 26, 462-469.
6. Mitra R., Bandyopadhyay S., Maulik U., Zhang M. Q. et al. SFSS Class: an integrated approach for miRNA based tumor classification. BMC
Bioinform. — 2010, 11 (Suppl.1), S22.
7. Bandyopadhyay S., Mitra R., Maulik U., Zhang M. Q. et al. Development of the human cancer microRNA network. Silence. — 2010, 1, 6.
8. O’Day,E.and Lal,A. MicroRNAs and their target gene networks in breast cancer. Breast Cancer Res. — 2010, 12, 201
9. Sotiriou C.and Pusztai L. Gene-expression signatures in breast cancer. N. Engl. J. Med. — 2009, 360, 790-800.
10. Blenkiron C., Goldstein L. D., Thorne N. P. et al. MicroRNA expression profiling of human breast cancer identifies new markers of tumor
subtype. Genome Biol. — 2007, 8, R214
11. Mattie M. D., Benz C. C., Bowers J. et al. Optimized high-throughput microRNA expression profiling provides novel biomarker assessment
of clinical prostate and breast cancer biopsies. Mol. Cancer. — 2006, 5, 24.
12. Lowery A. J., Miller N., Devaney A. et al. MicroRNA signatures predict oestrogen receptor, progesterone receptor and HER2 / neu receptor
status in breast cancer. Breast Cancer Res. — 2009, 11, R27.
13. Iorio M. V., Ferracin M., Liu C. G. et al. MicroRNA gene expression deregulation in human breast cancer. Cancer Res. — 2005, 65, 7065-
7070.
14. Park S. M., Gaur A. B., Lengyelet E. et al. The miR-200 family determines the epithelial phenotype of cancer cells by targeting the Ecadherin
repressors ZEB1 and ZEB2. Genes Dev. — 2008, 22, 894-907.
15. Baffa R., Fassan M., Volinia S. et al. MicroRNA expression profiling of human metastatic cancers identifies cancer gene targets. J. Pathol. —
2009, 219, 214-221.
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Как цитировать
Ukbaeva, T. D., & Keulіmzhaeva A. E. (2015). Онкологиялық патологиядағы микро-РНК рөлі.Роль микро-РНК при онкологической патологии. ҚазҰУ Хабаршысы. Биология сериясы, 59(3/2), 134–136. вилучено із https://bb.kaznu.kz/index.php/biology/article/view/893
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