ArticleCancers2025
A Novel Serum Inflammation Risk-Index (SIRI-RT)-Driven Nomogram for Predicting Secondary Malignancy Outcomes Post-Radiotherapy.
Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
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4 authors.
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Abstract
Radiation is often used as the primary treatment for a range of cancers. Nonetheless, its ability to trigger secondary tumors has emerged as a significant issue. Therefore, gaining insight into and predicting radiation-induced secondary cancers is essential for enhancing the long-term prognosis of cancer survivors. BACKGROUND AND
objectivesPrevious studies have identified several factors; however, research on the use of serum-based inflammatory markers as prognostic tools for predicting radiation-induced secondary malignancies is limited. Investigating the potential of serum-based inflammation prognostic scores could provide a minimally invasive and affordable method for the early prediction of secondary malignancies.
methodsWe retrospectively analyzed a patient cohort with radiation-induced secondary malignancy from the electronic database MIMIC-IV to investigate whether a serum-based inflammatory marker score can serve as a predictive tool.
resultsThis study seeks not only to assess the efficacy of the risk score, but also to develop a clinical utility tool nomogram for predicting the occurrence of radiation-induced secondary cancers. A RISM of 4.28% was observed in a cohort from the MIMIC-IV database using SIRI-RT as a risk index, with the Charlson comorbidity index, chemotherapy, and creatinine levels as significant confounding risk factors.
conclusionsOur study suggests that elevated serum-based inflammation prognostic scores and the nomogram developed herein can be used to predict a greater likelihood of developing secondary malignancies following radiation therapy.
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