An Innovative Telomere-associated Prognosis Model in AML: Predicting Immune Infiltration and Treatment...

Area of Science:

• Oncology
• Genetics
• Bioinformatics

Background:

• Acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy with a poor prognosis.
• Telomere maintenance is implicated in cancer, but telomere-related genes (TRGs) in AML require further investigation.

Purpose of the Study:

• To develop an innovative telomere-associated scoring model for predicting prognosis and treatment response in AML.
• To identify prognostic TRGs and explore their association with immune infiltration and chemosensitivity.

Main Methods:

• Utilized TCGA and GSE37642 cohorts for TRG identification and model development using LASSO Cox and multivariate Cox regression.
• Assessed immune cell infiltration via computational analysis and evaluated chemosensitivity of high-TRG score patients.

Main Results:

• A seven-TRG scoring model was developed, identifying TRG scores as an independent prognostic factor in AML.
• High TRG scores correlated with specific immune cell infiltration patterns and differential sensitivity to chemotherapeutic agents.
• RT-qPCR confirmed higher expression of OBFC1 and SMN1 in AML tissues.

Conclusions:

• The developed TRG scoring model offers significant predictive value for AML prognosis.
• This model can aid in risk stratification and guide personalized treatment strategies for AML patients.