An immunoinformatics approach for a potential NY-ESO-1 and WT1 based multi-epitope vaccine designing against triple-negative breast cancer
- Alima Khanam 1, Hossain Mohammad Hridoy 1, Md Shahin Alam 2, Adiba Sultana 2, Imtiaj Hasan 1,3
- 1Department of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, 6205, Bangladesh.
- 2Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh.
- 3Department of Microbiology, University of Rajshahi, Rajshah, 6205, Bangladesh.
- 0Department of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, 6205, Bangladesh.
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View abstract on PubMed
Summary
This summary is machine-generated.This study designed a novel multiepitope vaccine targeting WT1 and NY-ESO-1 antigens for triple-negative breast cancer (TNBC). Immunoinformatics analysis suggests this vaccine can induce strong immune responses, offering a promising new therapeutic strategy for TNBC.
Area Of Science
- Oncology
- Immunology
- Bioinformatics
Background
- Breast cancer is a leading malignancy in women, with triple-negative breast cancer (TNBC) posing a significant therapeutic challenge due to its aggressive nature and lack of targeted receptors.
- Current treatments for TNBC have limitations, necessitating the development of innovative therapeutic strategies like cancer vaccines.
Purpose Of The Study
- To design a novel multiepitope vaccine utilizing WT1 and NY-ESO-1 antigenic proteins for the immunotherapy of triple-negative breast cancer (TNBC).
Main Methods
- Identification and immunogenicity assessment of WT1 and NY-ESO-1 epitopes.
- Construction of a multiepitope vaccine incorporating epitopes, linkers (GPGPG, AAY, EAAAK), and the 50S ribosomal L7/L12 protein adjuvant.
- 3D modeling, molecular docking, and dynamic simulations to validate vaccine structure and stability.
- Cloning of the vaccine construct into the pET28 (+) vector and in silico immunoinformatics analysis.
Main Results
- The designed vaccine construct demonstrated high immunogenicity potential through epitope prediction and selection.
- Structural analysis confirmed the stability and integrity of the vaccine-adjuvant complex.
- In silico analysis indicated the vaccine's capacity to elicit robust humoral and cellular immune responses.
Conclusions
- The computationally designed multiepitope vaccine holds significant promise as a potential therapeutic agent against triple-negative breast cancer (TNBC).
- Further research and experimental validation are warranted to translate this immunoinformatic-driven approach into clinical application for TNBC treatment.
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