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Computational Identification of Most Deleterious Missense Mutations in Human PD-1 Gene
1Thamar University, Dhamar, Yemen.
Abstract:
Traditional cancer treatment approaches are often hindered by the presence of toxic side effects and the high rate of relapse observed in treated organs. In contrast, novel immunotherapeutic strategies targeting immune checkpoint inhibitors, particularly PD-1, have demonstrated promising results with minimal adverse effects. However, the emergence of immunotherapeutic-resistant tumors, predominantly caused by intrinsic mutations, poses a significant obstacle to successful treatment outcomes. Consequently, the primary objective of this study was to screen for the most detrimental missense mutations in the PD-1 gene associated with immunotherapeutic resistance. To achieve this aim, a comprehensive screening process utilizing 20 web servers, incorporating both sequence- and structure-based methodologies, was undertaken. Through meticulous analysis and mutual disease association sorting, four specific missense mutations were successfully identified. These mutations, namely, R38C, D61V, R94C, and D117V, emerged as the leading contributors to genetic cancer progression and immunotherapeutic resistance against PD-1 blockers. The findings presented in this study are supported by multiple lines of evidence. A thorough examination of protein topology, structural alignment, docking interactions with PD-L1, and protein flexibility collectively confirmed the pathogenic nature of these sorted mutations. By considering these various aspects, we have gained a comprehensive understanding of the underlying mechanisms driving immunotherapeutic resistance. In conclusion, the comprehensive screening process undertaken in this study has successfully identified R38C, D61V, R94C, and D117V as the primary mutations contributing to genetic cancer progression and immunotherapeutic resistance against PD-1 blockers. The integration of protein topology analysis, structural alignment, docking studies with PD-L1, and assessment of protein flexibility have collectively provided robust evidence to support the pathogenic significance of these mutations.
Insights
Researchers identified four key mutations (R38C, D61V, R94C, D117V) in the PD-1 gene that drive cancer progression and resistance to PD-1 blocking immunotherapies, offering insights into treatment failure.
Area of Science:
- Oncology
- Immunology
- Computational Biology
Background:
- Traditional cancer therapies face challenges with toxicity and relapse.
- Immunotherapies targeting PD-1 show promise but face resistance due to tumor mutations.
Purpose of the Study:
- To screen for detrimental missense mutations in the PD-1 gene linked to immunotherapeutic resistance.
- To identify specific mutations causing resistance to PD-1 blockers.
Main Methods:
- Utilized 20 web servers for sequence- and structure-based screening.
- Performed analysis of protein topology, structural alignment, and docking with PD-L1.
- Assessed protein flexibility to confirm mutation pathogenicity.
Main Results:
- Identified four missense mutations: R38C, D61V, R94C, and D117V.
- These mutations significantly contribute to cancer progression and resistance to PD-1 immunotherapies.
- Confirmed pathogenic nature through protein topology, structural, and flexibility analyses.
Conclusions:
- R38C, D61V, R94C, and D117V are primary mutations driving resistance to PD-1 blockers.
- These findings enhance understanding of mechanisms behind immunotherapeutic resistance.
- Provides a basis for developing strategies to overcome resistance in cancer treatment.
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