Jing Luo1, Bowei Zhang2, Likun Cui2, Tong Liu2, Yi Gu2. 1. Department of Breast Surgery, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, University of Electronic Science & Technology of China, Chengdu 610072, Sichuan, PR China. 2. Department of Vascular & Thyroid Surgery, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, University of Electronic Science & Technology of China, Chengdu 610072, Sichuan, PR China.
Abstract
Aim: To examine the expression profile of FMO1 in papillary thyroid cancer (PTC) and its prognostic value in recurrence-free survival (RFS). Methods: A retrospective analysis was performed using data from the Cancer Genome Atlas and Human Protein Atlas. Results: The most frequent variants of PTC had decreased FMO1 expression compared with their respective adjacent normal tissues. However, even under the best cut-off model, high FMO1 expression was only significantly associated with better RFS in classical PTC (p < 0.001), but not in other two variants. High FMO1 expression independently predicted favorable RFS (hazard ratio: 0.202; 95% CI: 0.084-0.487; p < 0.001) in classical PTC. Conclusion: High FMO1 expression might serve as a biomarker that independently predicts favorable RFS in classical PTC patients.
Aim: To examine the expression profile of FMO1 in papillary thyroid cancer (PTC) and its prognostic value in recurrence-free survival (RFS). Methods: A retrospective analysis was performed using data from the Cancer Genome Atlas and Human Protein Atlas. Results: The most frequent variants of PTC had decreased FMO1 expression compared with their respective adjacent normal tissues. However, even under the best cut-off model, high FMO1 expression was only significantly associated with better RFS in classical PTC (p < 0.001), but not in other two variants. High FMO1 expression independently predicted favorable RFS (hazard ratio: 0.202; 95% CI: 0.084-0.487; p < 0.001) in classical PTC. Conclusion: High FMO1 expression might serve as a biomarker that independently predicts favorable RFS in classical PTC patients.
Authors: Mateus C Barros-Filho; Julia B H de Mello; Fabio A Marchi; Clóvis A L Pinto; Igor C da Silva; Patricia K F Damasceno; Milena B P Soares; Luiz P Kowalski; Silvia R Rogatto Journal: Front Endocrinol (Lausanne) Date: 2020-04-30 Impact factor: 5.555