Improve risk classification in multiple myeloma using cytogenetic molecular biology techniques: implications for targeted therapy
by TRAN Cong Hoang
by TRAN Cong Hoang
The studies presented in this thesis have applied cytogenetic and biomolecular techniques to provide a comprehensive overview of significant genetic abnormalities in multiple myeloma (MM). The application of magnetically activated cell sorting and Fluorescence in situ hybridization techniques helps classify patients as having high, intermediate, and standard risk MM in the National Institute of Hematology and Blood Transfusion. This allows therapeutic decision-making based on the prognosis factors identified. Consequently, risk classification appears to be an effective approach for improving care in patients with multiple myeloma.
The research indicates clinical outcomes of MM patients with autologous stem cell transplantation (ASCT) had a strong correlation with cytogenetic risk classification. ASCT is a highly effective and safe treatment for multiple myeloma patients. However, high-risk groups of MM patients have limited benefits with ASCT, and new treatment strategies may be required to improve their poor outcomes.
Next-generation sequencing and a bioinformatic pineline called Genomedics have been set up to analyze whole exome sequencing data from multiple myeloma patients. The initial results demonstrate the promising application of whole exome analyses in helping physicians to diagnose and treat multiple myeloma diseases in Vietnam.
[TCH1] Hoang T. C., Van N. H, Van K. T. N., Binh V. D., Chinh Q. D., Khanh B. Q., Tri A. N. (2016). Detection of genetic chromosomal abnormalities in multiple myeloma patients by using FISH and magnetic-activated cell sorting techniques at the National Institute of Hematology and Blood Transfusion. Medical Journal of Vietnam, Vol. 446, p. 945 – 951.
[TCH2] Vinh L. S., Canh N. D., Chinh D. Q, Hoang T. C., Hang D. T. T., Minh L. B. H., Linh P. T. D. (2017). Genomedics: Whole exome analysis system for clinical studies. Bioinformatics and Computational Biology special session, The 9th International Conference on Knowledge and Systems Engineering, IEEE CPS, p. 142 – 149.
[TCH3] Hoang T. C, Vinh L. S., Anh N. L., Trang N. T., Canh N. D., Binh V. D., Khanh B. Q., Tri N. A., Chinh Q. D. (2017). Initial utilization of whole exome sequencing analysis to detect genetic abnormalities in multiple myeloma patients at the National Institute of Hematology and Blood Transfusion. Journal of Medical of Ho Chi Minh City, Vol. 21, Issue 6, p. 510 – 517.
[TCH4] Binh Vo T. T., Anh N. V. B., Khanh N. B., Nhung N. T., Hong D. T. V., Linh N. M., Chien N. H., Hoang T. C., Nhai N. T., Khanh B. Q., (2018). Outcomes of autologous stem cell transplantation in multiple myeloma from National Institute of Hematology and Blood Transfusion. Medical Journal of Vietnam, Vol. 467, p. 849 – 858.