Booth Id:
TMED094
Category:
Translational Medical Science
Year:
2026
Finalist Names:
George, Danielle (School: Alabama School of Fine Arts)
Abstract:
Introduction: Endometrial Cancer (EC), the most common and deadliest gynecological cancer in the U.S., has seen a steady rise in incidence and mortality since 2003 across all races. When identified early, 5-year survival for patients is 95%, but drops to <15% upon metastasis. Despite this, there is no standardized screening method for EC, highlighting the need for novel, non-invasive detection strategies. This study explores the ability of molecular analyses of tampon-derived vaginal fluids to detect EC.
Methods: Tampon samples were collected from 20 women presenting for suspicion of EC at the Gynecologic Oncology clinic at the University of Alabama at Birmingham and were consented under a pre-approved translational research IRB.
i) 10 samples (five benign, five cancerous) underwent mass spectrometry-based proteomics.
ii) The remaining 10 cancerous samples underwent a modified gDNA isolation protocol for future qPCR experiments to detect EC-associated mutational signatures using gene-specific primers.
iii) RenCa-Luc gDNA was diluted (1, 2, 5, 10, 20, 50, 100 ng) and used in SYBR Green qPCR with an 18S rRNA primer set.
Results:
i) Proteomic analysis revealed differentiation between the protein profile of benign and cancerous samples.
ii) The average gDNA yield was 3.29 µg with purity ratios (260/280=2.01 and 260/230=1.95) sufficient for future molecular analyses.
iii) qPCR amplification curves were sigmoidal, and non-template controls confirmed the absence of contamination. The standard curve had a coefficient of determination of 0.993 and an efficiency of 90.8%.
Conclusion: This exploratory study has demonstrated the potential for a non-invasive, tampon-based sampling method to detect EC early through proteomic and genomic analysis.
Awards Won: