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Updated: Apr 6, 2026

Study of Protein-protein Interactions in Autophagy Research
Published on: September 9, 2017
Cross-cancer profiling of molecular alterations within the human autophagy interaction network
Chandra B Lebovitz1,2, A Gordon Robertson1, Rodrigo Goya1,3
1a The Genome Sciences Centre; BC Cancer Agency ; Vancouver, BC Canada.
Abstract:
Aberrant activation or disruption of autophagy promotes tumorigenesis in various preclinical models of cancer, but whether the autophagy pathway is a target for recurrent molecular alteration in human cancer patient samples is unknown. To address this outstanding question, we surveyed 211 human autophagy-associated genes for tumor-related alterations to DNA sequence and RNA expression levels and examined their association with patient survival outcomes in multiple cancer types with sequence data from The Cancer Genome Atlas consortium. We found 3 (RB1CC1/FIP200, ULK4, WDR45/WIPI4) and one (ATG7) core autophagy genes to be under positive selection for somatic mutations in endometrial carcinoma and clear cell renal carcinoma, respectively, while 29 autophagy regulators and pathway interactors, including previously identified KEAP1, NFE2L2, and MTOR, were significantly mutated in 6 of the 11 cancer types examined. Gene expression analyses revealed that GABARAPL1 and MAP1LC3C/LC3C transcripts were less abundant in breast cancer and non-small cell lung cancers than in matched normal tissue controls; ATG4D transcripts were increased in lung squamous cell carcinoma, as were ATG16L2 transcripts in kidney cancer. Unsupervised clustering of autophagy-associated mRNA levels in tumors stratified patient overall survival in 3 of 9 cancer types (acute myeloid leukemia, clear cell renal carcinoma, and head and neck cancer). These analyses provide the first comprehensive resource of recurrently altered autophagy-associated genes in human tumors, and highlight cancer types and subtypes where perturbed autophagy may be relevant to patient overall survival.
Insights
Altered autophagy genes are recurrently mutated in human cancers, impacting patient survival. This study identifies specific autophagy genes and cancer types where these alterations are most significant.
Area of Science:
- Molecular Biology
- Cancer Genomics
- Autophagy Research
Background:
- Autophagy disruption is implicated in cancer development in preclinical models.
- The role of recurrent molecular alterations in human autophagy-associated genes in cancer remains largely unknown.
Purpose of the Study:
- To investigate recurrent alterations in 211 human autophagy-associated genes across various human cancers.
- To examine the association of these genetic and expression alterations with patient survival outcomes.
Main Methods:
- Surveyed DNA sequence and RNA expression data for 211 autophagy genes from The Cancer Genome Atlas (TCGA).
- Analyzed somatic mutations, gene expression levels, and their correlation with patient survival.
- Utilized unsupervised clustering to stratify patients based on autophagy-associated mRNA levels.
Main Results:
- Identified somatic mutations in core autophagy genes (RB1CC1/FIP200, ULK4, WDR45/WIPI4, ATG7) in endometrial and clear cell renal carcinomas.
- Found significant mutations in 29 autophagy regulators and interactors (including KEAP1, NFE2L2, MTOR) across 6 cancer types.
- Observed differential gene expression of autophagy-related transcripts (GABARAPL1, MAP1LC3C/LC3C, ATG4D, ATG16L2) in various cancers.
- Demonstrated that autophagy-associated mRNA levels stratified patient survival in acute myeloid leukemia, clear cell renal carcinoma, and head and neck cancer.
Conclusions:
- This study presents a comprehensive resource of recurrently altered autophagy-associated genes in human tumors.
- Perturbations in autophagy pathways are significantly associated with patient survival in specific cancer types and subtypes.
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