Powered by OpenAIRE graph

[The Relationship between the Expressions of CD33 and CD13 and the Prognosis of Patients with Multiple Myeloma].

Authors: Dan-Dan, Li; Hai-Long, Xia; Xiao-Mei, Sun; Zhi-Qiang, Liu; Shu-Ying, Zhang; Qian, Liu;

[The Relationship between the Expressions of CD33 and CD13 and the Prognosis of Patients with Multiple Myeloma].

Abstract

To investigate the expressions of CD33 and CD13 in newly diagnosed multiple myeloma (MM) patients and its relationship with prognosis.It was retrospectively observed that the expression of CD33 and CD13 in 121 MM patients who were newly diagnosed from January 2014 to January 2020, and the relationship between the expressions of CD33 and CD13 and patients prognosis was analyzed.Among the 121 newly diagnosed MM patients, there were 30 patients (24.8%) in the CD33+ group and 12 patients (9.9%) in the CD13+ group. Kaplan-Meier analysis showed that, compared with the CD33- group, the progression-free survival (PFS) time and overall survival (OS) time were significantly shortened in MM patients in CD33+ group (PFS 17.5 vs 23 months, P=0.000; OS 18.5 vs 25 months, P=0.000); and the PFS time and OS time of MM patients in the CD13+ group were also significantly shortened than those in CD13- group (PFS 21 vs 22 months, P=0.012; OS 25 vs 26 months, P=0.006). Cox regression analysis showed that CD33 and CD13 were independent adverse prognostic factors in MM patients (CD33: P=0.000;CD13: P=0.003).CD33 and CD13 are prognostic risk factors in patients with MM.

Related Organizations
Keywords

Sialic Acid Binding Ig-like Lectin 3, Humans, Cell Count, Kaplan-Meier Estimate, CD13 Antigens, Multiple Myeloma, Prognosis, Retrospective Studies

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research