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MicroRNA profiles as predictive markers of response to azacitidine therapy in myelodysplastic syndromes and acute myeloid leukemia
- Source :
- Cancer Biomarkers. 22:101-110
- Publication Year :
- 2018
- Publisher :
- IOS Press, 2018.
-
Abstract
- Background Azacitidine (AZA) is a nucleoside analog used for treatment of myelodysplasia and the prediction of AZA responsiveness is important for the therapy management. Methods Using microarrays and reverse-transcription quantitative-PCR, we analyzed microRNA (miRNA) expression in bone marrow CD34+ cells of 27 patients with higher-risk myelodysplastic syndromes or acute myeloid leukemia with myelodysplasia-related changes before and during AZA treatment. Results At baseline, we found that future overall response rate was significantly higher in patients with upregulated miR-17-3p and downregulated miR-100-5p and miR-133b. Importantly, the high level of miR-100-5p at baseline was associated with shorter overall survival (HR = 4.066, P= 0.008). After AZA treatment, we observed deregulation of 30 miRNAs in responders (including downregulation of miR-10b-5p, miR-15a-5p/b-5p, miR-24-3p, and miR-148b-3p), while their levels remained unchanged in non-responders. Conclusions Our study demonstrates that responders and non-responders have distinct miRNA patterns and that the level of specific miRNAs before therapy may predict the efficacy of AZA treatment.
- Subjects :
- Male
0301 basic medicine
Oncology
Antimetabolites, Antineoplastic
Cancer Research
medicine.medical_specialty
Azacitidine
CD34
03 medical and health sciences
0302 clinical medicine
Downregulation and upregulation
Internal medicine
microRNA
Genetics
medicine
Humans
Aged
business.industry
Myelodysplastic syndromes
Myeloid leukemia
General Medicine
medicine.disease
Leukemia, Myeloid, Acute
MicroRNAs
030104 developmental biology
medicine.anatomical_structure
Myelodysplastic Syndromes
030220 oncology & carcinogenesis
Female
Bone marrow
business
Nucleoside
medicine.drug
Subjects
Details
- ISSN :
- 18758592 and 15740153
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Cancer Biomarkers
- Accession number :
- edsair.doi.dedup.....8bafe41bd87a8afaa3380df8d35739aa
- Full Text :
- https://doi.org/10.3233/cbm-171029