Prognostic Significance of Amino Acid Metabolism-Related Genes in Prostate Cancer Retrieved by Machine Learning

Area of Science:

• Oncology
• Molecular Biology
• Genetics

Background:

• Prostate cancer exhibits significant heterogeneity, complicating accurate prognosis and treatment.
• Current biomarkers lack the precision to predict disease course effectively, necessitating novel strategies.
• Amino acid metabolism plays critical roles in cancer progression, including energy production and redox homeostasis.

Purpose of the Study:

• To investigate aberrant gene expression in amino acid metabolism pathways in prostate cancer.
• To identify potential novel biomarkers for predicting prostate cancer progression.
• To explore the utility of specific genes in refining prognostic predictions based on Gleason score.

Main Methods:

• Analysis of The Cancer Genome Atlas (TCGA) data for gene expression patterns.
• Utilizing recursive partitioning to assess prognostic factors.
• Evaluating the expression of specific genes (SERINC3, CSAD) in relation to clinical outcomes.

Main Results:

• Significant aberrant expression of amino acid metabolism-related genes, particularly catabolism genes and solute carrier family transporters, was observed in prostate cancer.
• Gleason score was confirmed as a strong prognostic indicator for progression-free survival.
• Expression levels of SERINC3 and CSAD genes were found to refine prognosis for high and low Gleason scores, respectively.

Conclusions:

• Aberrant amino acid metabolism gene expression represents a promising area for prostate cancer biomarker development.
• SERINC3 and CSAD gene expression can enhance prognostic accuracy, aiding in personalized treatment strategies.
• These findings suggest potential for novel biomarkers to improve prostate cancer management and patient outcomes.