Mengmeng Dong, Jinna Zhang, Li Yang, Yi Li, Jingsong He, Zhen Cai
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引用次数: 0
Abstract
Purpose: Multiple myeloma (MM) is a terminally differentiated plasma cell hematological malignancy. The revised international staging system (RISS) is commonly used in patients with de novo MM, but it has limitations in predicting prognosis. Better biomarkers need to added to the staging system.
Results: This retrospective study included a total of 302 patients. Smooth curve fitting analysis showed that serum ferritin levels were associated with relapse and all-cause death. The K-M curve analysis indicated that MM patients with higher ferritin levels had shorter PFS (P < 0.0056) and OS (P = 0.0014). Multivariate Cox regression analysis also showed MM patients with high serum ferritin had poor PFS (P = 0.0012) and OS (P = 0.0258), with independent correlation. The prediction model of ROC analysis based on Cox regression validated ferritin had a predictive value for PFS and OS, and increased the predictive value of ISS and RISS for OS.s.
Conclusion: We revealed that baseline serum ferritin levels were associated with prognosis in patients with MM, and patients with higher serum ferritin have poorer PFS and OS. Serum ferritin could increase the prediction value. The study provided a new ecidence for searching for prognostic biomarkers in MM patients.
期刊介绍:
The journal Biomarkers brings together all aspects of the rapidly growing field of biomarker research, encompassing their various uses and applications in one essential source.
Biomarkers provides a vital forum for the exchange of ideas and concepts in all areas of biomarker research. High quality papers in four main areas are accepted and manuscripts describing novel biomarkers and their subsequent validation are especially encouraged:
• Biomarkers of disease
• Biomarkers of exposure
• Biomarkers of response
• Biomarkers of susceptibility
Manuscripts can describe biomarkers measured in humans or other animals in vivo or in vitro. Biomarkers will consider publishing negative data from studies of biomarkers of susceptibility in human populations.