Pan-cancer analyses reveal cancer-type-specific autophagy signatures with potential implications for prognosis and therapy response
2025

Cancer Autophagy Signatures and Their Impact on Prognosis and Treatment

Sample size: 8620 publication 10 minutes Evidence: high

Author Information

Author(s): Yuan Hongyan, Zhu Xiaojing, Zhang Jiaxing, Zhang Zixin, Li Weihua, Xu Jiankai

Primary Institution: Harbin Medical University

Hypothesis

A systematic assessment of autophagy-related genes across various cancer types can reveal their implications for prognosis and therapy response.

Conclusion

The study highlights the significant role of autophagy in cancer prognosis and treatment response across multiple cancer types.

Supporting Evidence

  • About 3 - 32% of autophagy-related genes expressed differently across 21 human cancers.
  • The autophagy-related score could predict prognosis in 11 cancers.
  • High autophagy-related scores were associated with poorer clinical outcomes.
  • Autophagy influenced tumor immune microenvironment by regulating immune cell interactions.
  • The study validated findings in multiple independent datasets.

Takeaway

This study found that autophagy affects how cancers grow and respond to treatments, which can help doctors predict patient outcomes.

Methodology

The study performed a transcriptome-based pan-cancer analysis of 234 autophagy-related genes across 21 cancer types using RNA sequencing data.

Participant Demographics

The study included data from 21 cancer types, but specific demographic details were not provided.

Statistical Information

P-Value

1.291e-04

Confidence Interval

95% CI= 1.639~18.706

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.7150/jca.101046

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