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Updated: May 31, 2026
Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
Published on: August 1, 2018
Contriving multiepitope vaccine for breast cancer by targeting the estrogen receptor using in-silico method
Fahad Hassan Shah1, Jung Sig Cho1, Jae Uk Na2
1Department of Biomedical Science, Graduate School, Kyung Hee University, 26, Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, South Korea.
Abstract:
Breast cancer is an invasive cancer that arises either in ductal epithelial cells or lobules of the glandular tissues of the breast. The main culprit behind this misery in most cases is Estrogen receptor which allows binding of estrogen protein that helps in the proliferation, differentiation, and metastasis of breast cells. The present study designed multi-epitope B-cell stimulating vaccine by using estrogen receptor alpha as a template for epitope prediction. The predicted epitopes were checked for antigenicity, and toxicity using Vaxijen, Aller-Pred and Toxin-Pred. The final vaccine construct was used for the physicochemical prediction, In-silico immunosimulation, structure modeling and energy and structural refinement procedures followed by molecular docking with toll-like receptors and molecular dynamics. The obtained sequence of multi-epitope vaccine construct had adequate physiochemical and immunological properties. The structure constructed from the vaccine sequence had an appropriate secondary and 3-dimensional structure. The predicted 3D structure of the vaccine construct showed favorable interactions with toll-like receptors 1, 2, and 4, suggesting its potential to stimulate innate and adaptive immune responses. Our study proposes a promising vaccine candidate for breast cancer caused by the activity of estrogen receptor that can stimulate both innate and adaptive immune response to prevent the proliferation and progression.
Insights
Researchers developed a novel multi-epitope vaccine targeting estrogen receptor alpha to combat breast cancer. This innovative vaccine shows potential for stimulating robust immune responses against cancer proliferation.
Area of Science:
- Oncology
- Immunology
- Vaccine Development
Background:
- Breast cancer is a prevalent invasive malignancy often driven by estrogen receptor activity, promoting cell proliferation and metastasis.
- Estrogen receptor alpha plays a critical role in the growth and spread of many breast cancers.
Purpose of the Study:
- To design and computationally evaluate a multi-epitope B-cell stimulating vaccine targeting estrogen receptor alpha for breast cancer treatment.
- To assess the vaccine construct's physicochemical properties, immunogenicity, and potential to stimulate immune responses.
Main Methods:
- Epitope prediction using estrogen receptor alpha as a template, followed by antigenicity and toxicity screening.
- In-silico analysis including physicochemical prediction, immunosimulation, structure modeling, refinement, molecular docking with toll-like receptors, and molecular dynamics simulations.
Main Results:
- The multi-epitope vaccine construct exhibited favorable physicochemical and immunological properties.
- The vaccine's 3D structure demonstrated effective interactions with toll-like receptors 1, 2, and 4.
- The computational analysis suggests the vaccine can potentially stimulate both innate and adaptive immune responses.
Conclusions:
- A promising multi-epitope vaccine candidate against estrogen receptor-driven breast cancer has been computationally designed.
- The proposed vaccine has the potential to elicit both innate and adaptive immunity, offering a novel therapeutic strategy.
