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: College of Bioinformatics Science and Technology, Harbin Medical University

Hypothesis

A systematic assessment of autophagy-related genes across various cancer types can reveal cancer-type-specific signatures that influence 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.
  • Autophagy influences tumor immune microenvironment by regulating immune cell interactions.
  • The study validated findings in multiple independent datasets.

Takeaway

This study found that autophagy, a process that helps cells recycle and survive, can affect how different cancers grow and respond to treatments.

Methodology

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

Limitations

The study may be limited by the availability and quality of the datasets used for analysis.

Participant Demographics

The analysis included data from 21 different cancer types, but specific demographic details of participants 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

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication