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Purpose: Most patients with acute lymphoblastic leukemia (ALL) are treated with chemotherapy as primary care. Although the treatment response is usually positive, resistance and relapse often occur via unknown mechanisms. The purpose of this study was to identify factors associated with chemotherapy resistance in ALL. Here, we present clinical and experimental evidence that overexpression of nucleolin (NCL), a multifunctional nucleolar protein, is linked to drug resistance in ALL. Methods: NCL mRNA and protein levels were compared between cell lines and patient samples using qRT-PCR and immunoblotting. NCL mRNA levels were compared between patients of different disease stages from our clinic patients' specimens and publicly available ALL patient datasets. Cells and patient-derived xenograft mouse experiments were performed to assess the effect of NCL inhibition on ALL chemotherapy effectiveness. Results: Analysis of patient specimens, and publicly available RNA-sequencing datasets revealed a strong correlation between the abundance of NCL and disease relapse or poor survival in B-ALL. Altering NCL expression results in changes in drug sensitivity in ALL cell lines. High levels of NCL upregulated components of the ATP-binding cassette transporters via activation of the ERK pathway, resulting in a decrease in drug accumulation inside the cells. Targeting NCL with AS1411, an NCL-binding oligonucleotide aptamer, significantly increased the sensitivity of ALL cell lines and cells/patient-derived ALL xenograft mice to chemotherapeutic drugs and prolonged mouse survival. Conclusion: Our results highlight NCL as a prognostic marker in B-ALL and a potential therapeutic target to combat chemotherapy resistance in ALL. [ABSTRACT FROM AUTHOR]

The prognosis of acute lymphoblastic leukemia (ALL) in adults is inferior to that in children. Hence, ALL remains challenging to cure in the adult population. Aberrant genetic alterations have been observed in ALL, although the patterns of differential gene alterations in adult and pediatric ALL have not been comprehensively determined on a genome‐wide scale. We investigated the biologic differences in genomic profiles between adults (n = 64) and children (n = 54) with ALL and relationship between genomic heterogeneity and prognosis. The 2 populations showed similar common mutation types but an increased prevalence of genetic alterations in adult ALL. The median numbers of gene mutations were 17 (range: 1–53) and 4.5 (range: 1–19) per sample in adult and pediatric ALL, respectively (p < 0.001). An increased number of gene mutations and age were significantly correlated (R2 = 0.5853, p < 0.001). We identified 122 and 53 driver genes in adult and pediatric ALL samples, respectively. IKZF1, IDH1, and TTN mutations were significantly enriched in adult patients with ALL. KRAS, ARID1A, and CREBBP mutations were significantly enriched in pediatric patients with ALL (p < 0.05). The incidence of relapse was 40.0% and 9.6% in adult and pediatric patients with ALL, respectively (p = 0.003). The overall survival and relapse‐free survival of adult patients with ALL were poorer than those of pediatric patients with ALL (p = 0.002 and p < 0.001, respectively). This genomic landscape enhances the understanding of the biologic differences in ALL between the 2 populations and provides insight for developing therapeutic approaches. [ABSTRACT FROM AUTHOR]

Glucocorticoids (GC) are the foundation of the chemotherapy regimen in acute lymphoblastic leukemia (ALL). However, resistance to GC is observed more frequently than resistance to other chemotherapy agents in patients with ALL relapse. Moreover, the mechanism underlying the development of GC resistance in ALL has not yet been fully uncovered. In this study, we used bioinformatic analysis methods to integrate the candidate genes and pathways participating in GC resistance in ALL and subsequently verified the bioinformatics findings with in vitro cell experiments. Ninety‐nine significant common differentially expressed genes (DEGs) associated with GC resistance were determined by integrating two gene profile datasets, including GC‐sensitive and ‐resistant samples. Using Kyoto Encyclopedia of Genes and Genomes (KEGG) and REACTOME pathways analysis, the signaling pathways in which DEGs were significantly enriched were clustered. The GC resistance‐related biologically functional interactions were visualized as DEG‐associated Protein–Protein Interaction (PPI) network complexes, with 98 nodes and 127 edges. MYC, a node which displayed the highest connectivity in all edges, was highlighted as the core gene in the PPI network. Increased C‐MYC expression was observed in adriamycin‐resistant BALL‐1/ADR cells, which we demonstrated was also resistant to dexamethasone. These results outlined a panorama in which the solitary and scattered experimental results were integrated and expanded. The potential promising target of the candidate pathways and genes involved in GC resistance of ALL was concomitantly revealed. [ABSTRACT FROM AUTHOR]