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High expression of CPNE5 and CPNE9 predicts positive prognosis in multiple myeloma
- Source :
- Cancer biomarkers : section A of Disease markers. 31(1)
- Publication Year :
- 2021
-
Abstract
- BACKGROUND: CPNEs are significant biomarkers which can affect the progression and prognosis of various tumor diseases. However, the prognosis role of CPNEs in multiple myeloma (MM) is still unclear. OBJECTIVES: To investigate the prognosis role of CPNEs in MM. METHODS: Seven hundred and thirty-five samples from two independent data sets were involved to analyze the clinical and molecular characteristics, and prognosis role of the expression of CPNE1-9 in MM. RESULTS: MM patients with higher expressions of CPNE5 and CPNE9 had longer event-free survival (EFS) and overall survival (OS) compared with CPNE5low and CPNE9low expression groups (EFS: P= 0.0054, 0.0065; OS: P= 0.015, 0.016, respectively). Multivariate regression analysis showed that CPNE5 was an independent favorable predictor for EFS and OS (EFS: P= 0.005; OS: P= 0.006), and CPNE9 was an independent positive indicator for EFS (P= 0.002). Moreover, the survival probability and the cumulative event of EFS and OS in CPNE5highCPNE9high group were significantly longer than other groups. CONCLUSIONS: High expressions of CPNE5 and CPNE9 might be used as positive indicators for MM, and their combination was a better predictor for the survival of MM patients.
- Subjects :
- Oncology
Adult
Male
Cancer Research
medicine.medical_specialty
03 medical and health sciences
Young Adult
0302 clinical medicine
Survival probability
Internal medicine
Genetics
Overall survival
Medicine
Humans
Independent data
Multiple myeloma
030304 developmental biology
Aged
0303 health sciences
business.industry
Intracellular Signaling Peptides and Proteins
General Medicine
Middle Aged
medicine.disease
Prognosis
Survival Analysis
030220 oncology & carcinogenesis
Female
business
Multiple Myeloma
Subjects
Details
- ISSN :
- 18758592
- Volume :
- 31
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Cancer biomarkers : section A of Disease markers
- Accession number :
- edsair.doi.dedup.....a54afc872f07cafc4da910689b7f4c94