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 f2 | Aging

← Back
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

class="figure-viewer-img"

Figure 2. Evaluation the reliability of the risk signature in the training set (MMRF-COMMPASS). (A) summarizes the distribution of risk scores, the survival status of patients, and the expression of UPS genes in the training set. (B) A time-dependent ROC analysis for 1-, 3-, and 5-years OS prediction. (C) Survival analysis between low-risk and high-risk MM patients.