MicroRNA expression profiles discriminate childhood T- from B-acute lymphoblastic leukemia.
Renata Santos AlmeidaMatheus Costa E SilvaLuiz Lehmann CoutinhoRenan Garcia GomesFrancisco PedrosaJuliana Doblas MassaroEduardo Antônio DonadiNorma Lucena-SilvaPublished in: Hematological oncology (2018)
MicroRNAs (miRNAs) play a critical role on biological and cellular processes; the search for functional markers may be of importance for differential diagnosis, prognosis, and development of new therapeutic regimens. In this context, we evaluated the bone marrow miRNA profile of Brazilian children exhibiting T- or B-cell acute lymphoblastic leukemia (T-ALL or B-ALL), using massive parallel sequencing, using the HiSeq 2500 platform (Illumina). The differential expression analysis was conducted considering a leave-one-out approach and FDR ≤ 0.05. Machine learning algorithms were applied to search for the disease subset biomarkers. Target prediction, functional enrichment, and classification of biological categories were also performed. Sixteen miRNAs were differentially expressed between T- and B-ALL, of which 10 (miR-708-5p, miR-497-5p, miR-151a-5p, miR-151b, miR-371b-5p, miR-455-5p, miR-195-5p, miR-1266-5p, miR-574-5p, and miR-425-5p) were downregulated and six (miR-450b-5p, miR-450a-5p, miR-542-5p, miR-424-5p, miR-629-5p, and miR-29c-5p) were upregulated in childhood T-ALL. These miRNAs may be used for distinguishing childhood lymphoblastic leukemia subtypes, since it provided the clear separation of patients in these two distinct groups. Six relevant biological pathways were identified according to their role in leukemia, namely, viral carcinogenesis, cell cycle, and B-cell receptor signaling pathways for induced miRNAs and TGF-beta signaling, apoptosis, and NF-kappa B signaling for the repressed miRNAs, of which several miRNA gene targets participate in cell differentiation and hematopoiesis processes. Machine learning analysis pointed out miR-29c-5p expression as the best discriminator between childhood T- and B-ALL, which is involved in calcium signaling, critical for B-cell lymphocyte fate. Further studies are needed to assure the role of the 16 miRNAs and miR-29c-5p on acute lymphoblastic leukemia subtypes and on disease prognosis.
Keyphrases
- acute lymphoblastic leukemia
- machine learning
- cell proliferation
- cell cycle
- bone marrow
- long non coding rna
- signaling pathway
- allogeneic hematopoietic stem cell transplantation
- long noncoding rna
- deep learning
- artificial intelligence
- early life
- oxidative stress
- acute myeloid leukemia
- poor prognosis
- nuclear factor
- childhood cancer
- newly diagnosed
- pi k akt
- big data
- sars cov
- young adults
- ejection fraction
- end stage renal disease
- single cell
- endoplasmic reticulum stress
- epithelial mesenchymal transition
- patient reported outcomes
- immune response
- diabetic rats
- mass spectrometry
- chronic kidney disease
- high throughput
- liquid chromatography
- cell cycle arrest
- inflammatory response
- lps induced
- hematopoietic stem cell