Differential expression of FOXO1 and LINC01018 across disease phases in pediatric B-cell precursor acute lymphoblastic leukemia

Abstract Acute lymphoblastic leukemia (ALL) is the most common childhood malignancy, but despite therapeutic advances, relapse remains a major challenge. Identifying biomarkers that reflect disease status and prognosis may help improve disease assessment and patient management. This study investigated the expression and clinical relevance of the transcription factor FOXO1 and the long non-coding RNA LINC01018 in pediatric B-cell precursor ALL. A cross-sectional case-control study was performed on 52 independent pediatric patients with BCP-ALL representing three disease phases (diagnosis, remission, and relapse) and 17 age-matched controls. Expression levels in bone marrow or peripheral blood were quantified by real-time PCR. FOXO1 expression was significantly higher at diagnosis than in controls (fold change 5.14; p = 0.04) and was lower in the remission (fold change 0.20; p = 0.005) and relapse (fold change 0.59; p = 0.04) groups than at diagnosis. In contrast, LINC01018 was significantly lower in the diagnosis (fold change 0.15; p = 0.02) and relapse (fold change 0.03; p = 0.004) groups than in controls, whereas expression was higher in the remission group than at diagnosis but remained below control levels (fold change 0.34; p = 0.04). A significant inverse correlation between FOXO1 and LINC01018 expression was observed in the relapse group ( r = − 0.74; p = 0.005). In the relapse group, FOXO1 expression showed a positive exploratory association with blast-cell percentage ( r = 0.82, p = 0.03). In addition, in the diagnosis group, LINC01018 expression showed an inverse association with hemoglobin levels ( r = − 0.70, p = 0.02). External validation using GSE13159 provided independent support for elevated FOXO1 expression in ALL and BCP-ALL-like samples compared with controls, whereas LINC01018 did not reach statistical significance in this dataset. Opposing expression patterns of FOXO1 and LINC01018 were associated with disease phases in pediatric B-cell precursor ALL. FOXO1 dysregulation was independently supported in GSE13159, warranting further evaluation as a candidate disease-status biomarker, whereas the LINC01018 findings were not reproduced externally and therefore require independent validation before their relevance to disease monitoring or progression assessment can be established.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-10-07
DOI
https://doi.org/10.1038/s41598-026-74320-x
Primary Topic
Acute Lymphoblastic Leukemia research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Differential expression of FOXO1 and LINC01018 across disease phases in pediatric B-cell precursor acute lymphoblastic leukemia

Seyed Esmaeil Ahmadi, Mahmood Barati, Ali Amini, Mohammad Faranoush et al.
Scientific Reports
Acute Lymphoblastic Leukemia research
article

Differential expression of FOXO1 and LINC01018 across disease phases in pediatric B-cell precursor acute lymphoblastic leukemia

Seyed Esmaeil Ahmadi, Mahmood Barati, Ali Amini, Mohammad Faranoush, Soudabeh Hosseini, Akram Sadat Jaafarian, Maryam Shayanmanesh, Mohammadreza Rezvani
article en

Abstract

Abstract Acute lymphoblastic leukemia (ALL) is the most common childhood malignancy, but despite therapeutic advances, relapse remains a major challenge. Identifying biomarkers that reflect disease status and prognosis may help improve disease assessment and patient management. This study investigated the expression and clinical relevance of the transcription factor FOXO1 and the long non-coding RNA LINC01018 in pediatric B-cell precursor ALL. A cross-sectional case-control study was performed on 52 independent pediatric patients with BCP-ALL representing three disease phases (diagnosis, remission, and relapse) and 17 age-matched controls. Expression levels in bone marrow or peripheral blood were quantified by real-time PCR. FOXO1 expression was significantly higher at diagnosis than in controls (fold change 5.14; p = 0.04) and was lower in the remission (fold change 0.20; p = 0.005) and relapse (fold change 0.59; p = 0.04) groups than at diagnosis. In contrast, LINC01018 was significantly lower in the diagnosis (fold change 0.15; p = 0.02) and relapse (fold change 0.03; p = 0.004) groups than in controls, whereas expression was higher in the remission group than at diagnosis but remained below control levels (fold change 0.34; p = 0.04). A significant inverse correlation between FOXO1 and LINC01018 expression was observed in the relapse group ( r = − 0.74; p = 0.005). In the relapse group, FOXO1 expression showed a positive exploratory association with blast-cell percentage ( r = 0.82, p = 0.03). In addition, in the diagnosis group, LINC01018 expression showed an inverse association with hemoglobin levels ( r = − 0.70, p = 0.02). External validation using GSE13159 provided independent support for elevated FOXO1 expression in ALL and BCP-ALL-like samples compared with controls, whereas LINC01018 did not reach statistical significance in this dataset. Opposing expression patterns of FOXO1 and LINC01018 were associated with disease phases in pediatric B-cell precursor ALL. FOXO1 dysregulation was independently supported in GSE13159, warranting further evaluation as a candidate disease-status biomarker, whereas the LINC01018 findings were not reproduced externally and therefore require independent validation before their relevance to disease monitoring or progression assessment can be established.

Scientific Reports
Iran University of Medical Sciences (IR), University of Zurich (CH), University Hospital of Zurich (CH)
Openalex Percentile: Top 9%
Acute Lymphoblastic Leukemia research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.