Related Experiment Video
Updated: Oct 5, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Analytical Computation of Interleukin17A Activity in Breast Cancer Patients Using Bioinformatics Methods
1Department of Applied Sciences, University of Technology, Baghdad, Iraq.
Abstract:
Interleukin-17A (IL-17A) is a member of the Interleukin-17 family, which belongs to the pro-inflammatory cystine-knot cytokines. Recent studies on the etiology of breast cancer have focused on the role of immunity and inflammation. The pro-inflammatory cytokines IL-17A can medicate cancer-related inflammation. The present study aimed to analyze the mutation in physicochemical properties and structure of the Interleukin-17 A gene in developing breast cancer using bioinformatics methods. A total of 60 blood samples were obtained from Iraqi women aged 25 to 75 with breast cancer. Twenty blood samples were obtained from healthy women in the same age range as a control group. Deletion and missense mutations detected by BLAST in samples with breast cancer. The present study determined the physicochemical properties of IL-17A such as hydrophilic nature, alpha-helical and 3D structure. The results of this study indicated that IL-17A is considered a marker for a patient with breast cancer. Also, mutations in the IL-17A gene affect the structure and physicochemical properties of the IL-17A protein complex.
More Related Videos
09:01Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies
Published on: July 3, 2025
07:47Author Spotlight: Unveiling Transmembrane Protein Family-Related Markers in Gastric Cancer and Implications for Targeted Therapies
Published on: September 15, 2023