What type of study is this?

This is a Cohort Study study (also classified as: Quantitative Study).

September 18, 2025Frontiers in OncologyOpen Access

Integration of autophagy-related genes and immune dysregulation reveals a prognostic landscape in multiple myeloma

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Analysis identifies a prognostic gene signature in multiple myeloma, highlighting immune dysregulation and therapeutic resistance.

The autophagy-related risk score effectively distinguished between high-risk and low-risk groups, improving survival prediction.
A seven-gene signature was identified using LASSO-Cox regression, showcasing predictive accuracy with a 5-year AUC of 0.729.
Immune checkpoint expression was elevated in high-risk patients, correlating with increased stromal infiltration and drug resistance.
Functional enrichment revealed connections between high-risk profiles and mechanisms like MYC activation and oxidative phosphorylation.

Xia et al. (2025) studied this question.

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September 18, 2025Frontiers in OncologyOpen Access

View Full Paper

Ask AI

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Authors

Analysis identifies a prognostic gene signature in multiple myeloma, highlighting immune dysregulation and therapeutic resistance.

The autophagy-related risk score effectively distinguished between high-risk and low-risk groups, improving survival prediction.
A seven-gene signature was identified using LASSO-Cox regression, showcasing predictive accuracy with a 5-year AUC of 0.729.
Immune checkpoint expression was elevated in high-risk patients, correlating with increased stromal infiltration and drug resistance.
Functional enrichment revealed connections between high-risk profiles and mechanisms like MYC activation and oxidative phosphorylation.

Xia et al. (2025) studied this question.

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