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SIRT7 as a context-dependent biomarker and therapeutic target: Insights from a pan-cancer study
K M Tanjida Islam1, Shahin Mahmud1
1Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh.
Abstract:
SIRT7 is a member of the sirtuin family and has emerged as a crucial player in cancer biology, with a multifaceted role in both tumor-promoting and tumor-suppressing activities. Despite its importance in connecting NAD+ metabolism with transcriptional regulation, a systematic analysis across multiple cancer types remains underexplored, thereby limiting our understanding of its prognostic value, mutational impact, immune associations, and therapeutic potential. Therefore, this study aims to evaluate the pan-cancer significance of SIRT7 through integrated computational approaches. We employed protein structure modeling, deep neural network-guided protein interaction analysis, cancer hallmark association, gene expression profiling, survival analysis, mutational landscape, immune infiltration assessment, and structure-based drug discovery, combining molecular docking and dynamics simulations. Our deep neural network analyses revealed SIRT7 as a central hub connecting NAD+ metabolism with transcriptional regulation in its sub-network (R2: 0.9839). SIRT7 exhibited differential expression across 17 cancer types, with high expression associated with poor survival in six cancer types; however, it surprisingly correlated with better outcomes in sarcoma. Cancer-specific mutations significantly reduced patient survival and altered the expression of network components. We identified regulatory mechanisms involving five miRNAs and three transcription factors. Therapeutic intervention identified two promising SIRT7 inhibitors (ZINC000150487575 and ZINC000150641215) with superior binding properties compared to the reference inhibitor. This comprehensive pan-cancer analysis of SIRT7 provides a framework for understanding its role in cancer biology and identifies potential therapeutic opportunities for personalized interventions. Our findings have immediate implications for clinical oncology, enabling SIRT7 as a biomarker for patient stratification and a therapeutic target for novel inhibitor development. Targeting SIRT7 may offer new therapeutic strategies for various cancers, particularly those with high SIRT7 expression, as SIRT7 functions in a context-dependent manner in cancer regulation. Further studies are necessary to validate the efficacy of SIRT7 inhibitors and explore their role in therapeutic resistance and disease recurrence.
Insights
SIRT7, a key protein in cancer, has varied roles across 17 cancer types. This study reveals its prognostic value, identifies new inhibitors, and highlights its potential as a therapeutic target for personalized cancer treatment.
Area of Science:
- Biochemistry and Molecular Biology
- Cancer Biology and Genetics
- Computational Biology and Bioinformatics
Background:
- Sirtuin 7 (SIRT7) is integral to NAD+ metabolism and transcriptional regulation, with known roles in cancer.
- Its pan-cancer significance, including prognostic value, mutational impact, immune associations, and therapeutic potential, remains underexplored.
Purpose of the Study:
- To conduct a comprehensive pan-cancer analysis of SIRT7 using integrated computational methods.
- To elucidate SIRT7's role in cancer biology, identify prognostic biomarkers, and discover novel therapeutic strategies.
Main Methods:
- Protein structure modeling, deep neural network-guided protein interaction analysis, and cancer hallmark association.
- Gene expression profiling, survival analysis, mutational landscape, and immune infiltration assessment.
- Structure-based drug discovery including molecular docking and dynamics simulations.
Main Results:
- SIRT7 acts as a central hub linking NAD+ metabolism and transcriptional regulation (R2: 0.9839).
- Differential expression of SIRT7 was observed across 17 cancer types; high expression correlated with poor survival in six cancers but better outcomes in sarcoma.
- Cancer-specific mutations in SIRT7 reduced survival and altered network gene expression. Two novel SIRT7 inhibitors showed superior binding affinity.
Conclusions:
- SIRT7 is a context-dependent regulator in cancer, serving as a potential biomarker for patient stratification and a therapeutic target.
- Targeting SIRT7 offers novel therapeutic strategies, particularly for cancers with high SIRT7 expression.
- Further validation of SIRT7 inhibitors is crucial for clinical application and understanding therapeutic resistance.
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