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Clinical Significance of TP53 Abnormalities in Newly Diagnosed Multiple Myeloma
OBJECTIVE: This study aimed to identify the clinical significance of TP53 and common cytogenetic abnormalities. MATERIALS AND METHODS: A total of 114 patients with newly diagnosed multiple myeloma (MM) and TP53 abnormalities were selected from two large patient cohorts of collaborating hospitals fro...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Galenos Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656118/ https://www.ncbi.nlm.nih.gov/pubmed/33938208 http://dx.doi.org/10.4274/tjh.galenos.2021.2021.0064 |
Sumario: | OBJECTIVE: This study aimed to identify the clinical significance of TP53 and common cytogenetic abnormalities. MATERIALS AND METHODS: A total of 114 patients with newly diagnosed multiple myeloma (MM) and TP53 abnormalities were selected from two large patient cohorts of collaborating hospitals from 2010 to 2017. The characteristics and outcomes of these patients were analyzed. TP53 and other common mutations in MM patients were quantified by fluorescence in situ hybridization. Kaplan-Meier curves and log-rank tests were applied for survival analysis. A Cox proportional hazard model for covariate analysis was used to determine the prognostic factors. RESULTS: By extensive data analysis, we found that TP53 amplification is a strong positive predictor for complete response (CR) to therapy and positively correlated with patient survival. The number of simultaneous genomic abnormalities with TP53 mutation has a modest impact on patient survival. Among these mutations, 1q21 amplification is associated with decreased CR (odds ratio: 4.209) and FGFR3 levels are positively correlated with progression-free and overall survival. CONCLUSION: TP53 abnormalities at the diagnosis of MM are of great clinical significance in predicting patient response to therapy and survival. Furthermore, 1q21 and FGFR3 mutations could potentially be used in combination with TP53 status to better predict patient survival and guide the selection of high-risk patients to advance patient treatment strategies. |
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