Emma Kate Thompson

Ms. Emma Kate Thompson


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 March 2025 in Cancers
Verified
Journal Article
Open access
PDF file
LNLinh Thi Thuy Nguyen
Linh Thi Thuy Nguyen
ETEmma Kate Thompson
Emma Kate Thompson
NBNazim Bhimani
Nazim Bhimani
MDMinh Cuong Duong
Minh Cuong Duong
HNHuy G. Nguyen
Huy G. Nguyen
AGAnthony Glover
Anthony Glover
Background: Thyroid cancer (TC) involves diverse genetic alterations, with their prognostic significance often debated. Objectives: This study evaluates the impact of BRAF, TERT promoter, TP53, and PI3K pathway mutations detected via Next-Generation Sequencing (NGS) on overall survival (OS) and disease-free survival (DFS) in follicular-derived TC patients. Methods: A comprehensive search was conducted in MEDLINE, Scopus, and EMBASE databases from 2013 to 2023 for studies using NGS on TC patients. Hazard ratios (HR) and 95% confidence intervals (CI) for OS and DFS were extracted from original studies or estimated from Kaplan–Meier curves (KMC). A random-effects model, weighted by inverse variance, was used to calculate pooled HRs. Publication bias was assessed using Egger’s regression test and visual funnel plot analysis. Results: Of the 3921 initial studies, nine studies involving 1075 patients were included in the meta-analysis. BRAF mutations showed no significant effect on OS (HR = 1.11, 95% CI: 0.66–1.88) or DFS (HR = 1.23, 95% CI: 0.66–2.29). In contrast, TERT promoter mutations were strongly associated with worse OS (HR = 1.90, 95% CI: 1.17–3.09) and DFS (HR = 2.76, 95% CI: 1.86–4.10). TP53 and PI3K pathway mutations were linked to shorter OS (HR = 2.87, 95% CI: 1.44–5.86 and HR = 2.17, 95% CI: 1.05–4.15, respectively), though their impact on DFS remains unclear due to limited data. Conclusions: These findings highlight TERT promoter mutations as strong prognostic markers for both OS and DFS, while TP53 and PI3K mutations indicate higher mortality risk.