Integrative Spatial Transcriptomics and Immunoinformatics for Prognostic Multi-Epitope Vaccine Construct Prediction Against Synovial Sarcoma
Maha A. Aljumaa, Maher S. Alwethaynani, Hanan Abdulrahman Sagini, Fakhria A. Al-Joufi, Ghulam Nabi

TL;DR
This study designs a multi-epitope vaccine targeting FKBP10 in synovial sarcoma, using transcriptomic data and immunoinformatics to predict a stable and immunogenic vaccine candidate.
Contribution
The novel contribution is the integrative approach combining spatial transcriptomics and immunoinformatics to design a multi-epitope vaccine against synovial sarcoma.
Findings
FKBP10 is significantly upregulated in synovial sarcoma with strong statistical significance.
The constructed vaccine shows strong binding to TLR4 and TLR9 with stable molecular dynamics simulations.
The vaccine is antigenic, non-allergenic, and structurally stable with favorable physicochemical properties.
Abstract
Background/Objectives: Synovial sarcoma (SS) is a rare and aggressive soft-tissue malignancy characterized by complex molecular alterations and poor prognosis, highlighting the need for targeted immunotherapeutic strategies. This study aimed to design a rational multi-epitope vaccine targeting the FKBP10 oncoprotein to elicit effective immune responses against SS. Methods: Transcriptomic data from the GEO dataset GSE144190, comprising 10 tumor and 9 normal tissue samples, were analyzed to identify differentially expressed genes (DEGs). Results: Our findings revealed significantly upregulated FKBP10 with a log2 fold change of 3.55, baseMean expression of 1521.84, and adjusted p-value of 8.37 × 10−26. Mutational analysis across 7782 sarcoma samples indicated a low alteration frequency of ~1.5%, primarily missense variants. Functional mapping showed FKBP10 as a hub interacting with…
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Taxonomy
Topicsvaccines and immunoinformatics approaches · Immunotherapy and Immune Responses · Signaling Pathways in Disease
