Low Expression of BRCA1 as a Potential Relapse Predictor in B-Cell Acute Lymphoblastic Leukemia.
Vanessa Villegas-RuízIsabel Medina-VeraPaulina Arellano-PerdomoAdriana Castillo-VillanuevaCesar A Galván-DiazRogelio Paredes-AguileraRoberto Rivera-LunaSergio Juárez-MéndezPublished in: Journal of pediatric hematology/oncology (2022)
B-cell acute lymphoblastic leukemia (B-ALL) is the most common childhood hematological malignancy worldwide. Treatment outcomes have improved dramatically in recent years; despite this, relapse is still a problem, and the potential molecular explanation for this remains an important field of study. We performed microarray and single-cell RNA-Seq data mining, and we selected significant data with a P-value<0.05. We validated BRCA1 gene expression by means of quantitative (reverse transcription-polymerase chain reaction.) We performed statistical analysis and considered a P-value<0.05 significant. We identified the overexpression of breast cancer 1, early onset (BRCA1; P-value=2.52-134), by means of microarray analysis. Moreover, the normal distribution of BRCA1 expression in healthy bone marrow. In addition, we confirmed the increases in BRCA1 expression using real-time (reverse transcription-polymerase chain reaction and determined that it was significantly reduced in patients with relapse (P-values=0.026). Finally, we identified that the expression of the BRCA1 gene could predict early relapse (P-values=0.01). We determined that low expression of BRCA1 was associated with B-cell acute lymphoblastic leukemia relapse and could be a potential molecular prognostic marker.
Keyphrases
- acute lymphoblastic leukemia
- poor prognosis
- rna seq
- single cell
- early onset
- gene expression
- breast cancer risk
- bone marrow
- binding protein
- free survival
- allogeneic hematopoietic stem cell transplantation
- transcription factor
- machine learning
- late onset
- long non coding rna
- high resolution
- mesenchymal stem cells
- mass spectrometry
- big data
- single molecule
- acute myeloid leukemia
- young adults
- copy number
- early life
- genome wide identification