https://jiangyanxiamm.shinyapps.io/MMprognosis/) were built based on the UPS signature and its clinical features. Analyses of calibration plots and decision curves showed clinical utility for both training and validation datasets.

Conclusions: As a result of these results, we established a genetic signature for MM based on UPS. This genetic signature could contribute to improving individualized survival prediction, thereby facilitating clinical decisions in patients with MM." name="description"> A nomogram for predicting prognosis of multiple myeloma patients based on a ubiquitin-proteasome gene signature - Figure f3 | Aging

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Research Paper Volume 14, Issue 24 pp 9951—9968

A nomogram for predicting prognosis of multiple myeloma patients based on a ubiquitin-proteasome gene signature

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Figure 3. Diagnostic value of the identified UPS genes for MM. (A) The expression level of KCTD12, SIAH1, TRIM58, TRIM47, UBE2S, and UBE2T in tumor normal tissue. (B) ROC analysis showed the diagnostic ability of KCTD12, SIAH1, TRIM58, TRIM47, UBE2S, and UBE2T to distinguish MM from the normal samples (**P<0.01 and ****P<0.0001).