biostudies-literatureUnknown14(9)Li H<h4>Background</h4>With therapeutic advancements improving survival outcomes in myelodysplastic syndromes (MDS), an increasing proportion of patients are at risk of developing second primary malignancies (SPMs). Nevertheless, the clinical profile, prognostic determinants, and overall survival (OS) of SPMs in this population remain inadequately characterized. This study sought to delineate the clinical features of SPMs in MDS patients and construct a predictive nomogram for overall survival (OS) in MDS-SPM (MSP) patients.<h4>Methods</h4>Data were obtained from the Surveillance, Epidemiology, and End Results (SEER) database for the period 2000-2021. Cox regression and competing risk analyses were performed to identify prognostic factors. A nomogram was then constructed and validated to prediTranslational cancer research5559-5571https://www.ebi.ac.uk/biostudies/studies/S-EPMC12554499biostudies-literaturePrognostic factors and overall survival for second primary malignancies in myelodysplastic syndromes: a Cox regression coupled with competing risk model based on Surveillance, Epidemiology, and End Results (SEER) database.PMC12554499Zhe NLi HZhu PGe JLi QZhou ZfalsePrognostic factors and overall survival for second primary malignancies in myelodysplastic syndromes: a Cox regression coupled with competing risk model based on Surveillance, Epidemiology, and End Results (SEER) database.<h4>Background</h4>With therapeutic advancements improving survival outcomes in myelodysplastic syndromes (MDS), an increasing proportion of patients are at risk of developing second primary malignancies (SPMs). Nevertheless, the clinical profile, prognostic determinants, and overall survival (OS) of SPMs in this population remain inadequately characterized. This study sought to delineate the clinical features of SPMs in MDS patients and construct a predictive nomogram for overall survival (OS) in MDS-SPM (MSP) patients.<h4>Methods</h4>Data were obtained from the Surveillance, Epidemiology, and End Results (SEER) database for the period 2000-2021. Cox regression and competing risk analyses were performed to identify prognostic factors. A nomogram was then constructed and validated to predi2025-01-01T00:00:00Z2025 Sep2026-06-05T07:51:32.457Z2026-05-14T03:12:36.678ZS-EPMC125544994115826710.21037/tcr-2025-795