Analysis of ALDOC Expression and Prognostic Value in Acute Myeloid Leukemiahe

Objective: This study aimed to investigate the expression pattern of ALDOC in patients with acute myeloid leukemia (AML) and to assess its potential as a prognostic marker. Methods: Data for this study were derived from the public databases TCGA and GTEx. Based on the expression levels of ALDOC in different age groups, the impact of ALDOC expression on the prognosis of AML patients was evaluated using univariate and multivariate Cox regression analyses, in conjunction with Kaplan-Meier survival curves. Bioinformatics methods were also employed to explore the possible mechanisms of ALDOC action in AML. Results: A significant difference in the expression of the metabolic gene ALDOC was found between AML patients and normal individuals (P < 0.05). ALDOC was identified as a prognostic marker for patients under the age of 60. Bioinformatics analysis suggested that high expression of ALDOC could upregulate pathways involved in allograft rejection, response to IFN-α, response to IFN-γ, and phagocytosis, particularly indicating a poorer prognosis in patients under the age of 60. Conclusion: High expression of ALDOC is associated with poor prognosis in AML patients under the age of 60, and ALDOC may serve as a marker for AML prognosis and a promising potential therapeutic target for further research.

Authors

Publication Details

Journal
International Journal of Biology and Life Sciences
Published
2024-09-28
DOI
https://doi.org/10.54097/176fx714
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of ALDOC Expression and Prognostic Value in Acute Myeloid Leukemiahe

Jianwei Huang
International Journal of Biology and Life Sciences
Acute Myeloid Leukemia Research
article

Analysis of ALDOC Expression and Prognostic Value in Acute Myeloid Leukemiahe

Jianwei Huang
article en

Abstract

Objective: This study aimed to investigate the expression pattern of ALDOC in patients with acute myeloid leukemia (AML) and to assess its potential as a prognostic marker. Methods: Data for this study were derived from the public databases TCGA and GTEx. Based on the expression levels of ALDOC in different age groups, the impact of ALDOC expression on the prognosis of AML patients was evaluated using univariate and multivariate Cox regression analyses, in conjunction with Kaplan-Meier survival curves. Bioinformatics methods were also employed to explore the possible mechanisms of ALDOC action in AML. Results: A significant difference in the expression of the metabolic gene ALDOC was found between AML patients and normal individuals (P < 0.05). ALDOC was identified as a prognostic marker for patients under the age of 60. Bioinformatics analysis suggested that high expression of ALDOC could upregulate pathways involved in allograft rejection, response to IFN-α, response to IFN-γ, and phagocytosis, particularly indicating a poorer prognosis in patients under the age of 60. Conclusion: High expression of ALDOC is associated with poor prognosis in AML patients under the age of 60, and ALDOC may serve as a marker for AML prognosis and a promising potential therapeutic target for further research.

International Journal of Biology and Life SciencesVol. 7(2)
Openalex Percentile: Top 73%
Acute Myeloid 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.

Analysis of ALDOC Expression and Prognostic Value in Acute Myeloid Leukemiahe — Jianwei Huang · International Journal of Biology and Life Sciences (2024) | TGRS Research Map | TGRS