Published on 01 January 2024

Supplementary Material for: Long Non-coding RNA RP11-252C15.1 is a Potential Biomarker of Prognosis and Hallmark for Leukemogenesis in Children with B-cell Precursor Acute Lymphoblastic Leukemia

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L., Pan;Y., Zheng;H., Zheng

Description

Introduction: Improved understanding of the prognostic biomarkers associated with childhood acute lymphoblastic leukemia (ALL) is needed for accurate risk group stratification. This study aimed to identify potential long-non coding RNA (lncRNA) markers and evaluate their prognostic value in children with ALL.Methods: We selected 50 children with newly diagnosed ALL and 20 age-matched patients with idiopathic immune thrombocytopenia (controls). RNA sequencing was performed to identify differentially expressed lncRNAs between the ALL and control groups. Correlation analysis was performed to determine the relationships between candidate lncRNAs, clinical features, and the risk of leukemogenesis. Results: A total of 1,019 differentially expressed lncRNAs were identified between the ALL and control groups. Reverse-transcriptase (RT-qPCR) revealed that lncRNA RP11-252C15.1 and lncRNA RP11-701P16.2 were significantly upregulated in patients with ALL. Furthermore correlation analysis showed that lncRNA RP11-252C15.1 and lncRNA RP11-701P16.2 represent potential predictors of leukemogenesis; however, only lncRNA RP11-252C15.1 was associated with clinical features and outcome in children with B-cell precursor ALL (BCP-ALL). In vitro experiments confirmed that lncRNA RP11-252C15.1 was significantly overexpressed in BCP-ALL cell lines and promoted proliferation, and repressed apoptosis in MHH-CALL-3 cells.Conclusion: LncRNA RP11-252C15.1 is a potential oncogene in BCP-ALL pathogenesis and a prognostic biomarker in children with BCP-ALL.

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Metrics

Dataset Index

0.3

FAIR Score

13%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Karger Publishers

Assigned Domain

Subfield

Public Health, Environmental and Occupational Health

Field

Medicine

Domain

Health Sciences

Confidence Score

50%

Source

Scholar Data Model

Keywords

Medicine

Normalization Factors

FT

15.38

CTw

1.00

MTw

1.00