E-ISSN: 1308-5263
Clinical Significance of TP53 Abnormalities in Newly Diagnosed Multiple Myeloma [Turk J Hematol]
Turk J Hematol. Ahead of Print: TJH-43179 | DOI: 10.4274/tjh.galenos.2021.2021.0064  

Clinical Significance of TP53 Abnormalities in Newly Diagnosed Multiple Myeloma

Fang Ye1, Tongtong Wang2, Aijun Liu2, Yanchen Li2, Ningning Li1, Huan Wang1, Wenming Chen2
1Department of Hematology, Chuiyangliu Hospital affiliated to Tsinghua University, Beijing, China
2Department of Hematology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

Objective: To identify the clinical significance of TP53 and common cytogenetic abnormalities.
Material and Methods: 114 patients with newly diagnosed 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 (FISH). Kaplan-Meier curves and Log-rank test were applied for survival analysis. Cox proportional hazard model for covariate analysis was used to determine the prognostic factors.
Results: By extensive data analysis, we find 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. Within these mutations, 1q21 amplification is associated with decreased CR (OR=4.209) and FGFR3 levels are positively correlated with patient 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. Further, 1q21 and FGFR3 mutations could potentially be used in combination with TP53 status, to better predict patient survival and guide for selecting high-risk patients to advance patient treatment strategies.

Keywords: TP53; multiple myeloma; genomic abnormality

Corresponding Author: Wenming Chen, China

Uncorrected Full Text PDF
Download citation
Reference Manager
Share with email
Send email to author

Similar articles
Google Scholar


Impact Factor (2019) = 1.685