Analytical Computation of Interleukin17A Activity in Breast Cancer Patients Using Bioinformatics Methods.

Area of Science:

• Immunology
• Oncology
• Bioinformatics

Background:

• Interleukin-17A (IL-17A) is a pro-inflammatory cytokine implicated in cancer-related inflammation.
• Recent research highlights the role of immunity and inflammation in breast cancer etiology.

Purpose of the Study:

• To analyze mutations in the Interleukin-17 A gene and their impact on protein structure and physicochemical properties in breast cancer patients.
• To investigate IL-17A as a potential biomarker for breast cancer.

Main Methods:

• Bioinformatics analysis of the Interleukin-17 A gene.
• Detection of mutations (deletion, missense) using BLAST in 60 breast cancer patients and 20 healthy controls.
• Determination of IL-17A physicochemical properties (hydrophilicity, alpha-helical and 3D structure).

Main Results:

• Deletion and missense mutations in the IL-17A gene were detected in breast cancer samples.
• Mutations were found to alter the physicochemical properties and structure of the IL-17A protein.
• IL-17A was identified as a potential marker for breast cancer patients.

Conclusions:

• Mutations in the IL-17A gene significantly affect its structure and physicochemical properties.
• IL-17A serves as a potential biomarker for identifying breast cancer patients.