Javascript must be enabled to continue!
Newly diagnosed multiple myeloma patients with CD56 expression benefit more from autologous stem cell transplantation
View through CrossRef
Abstract
Background
Several studies showed that lack of CD56 expression was a poor prognostic factor for patients with newly diagnosed multiple myeloma (NDMM). However, other studies were not able to confirm the prognostic value of CD56 in NDMM. This study aimed to evaluate the prognostic value of CD56 expression for patients with NDMM who received autologous stem cell transplantation (ASCT).
Methods
We retrospectively analyzed 394 patients with NDMM under 66 years old and the propensity score matching technique was used to reduce the bias between two groups.
Results
CD56 expression was observed in 265 (67.3%) patients, and 175 (44.4%) patients received ASCT. 44.9% (119/265) CD56 positive patients received ASCT; and 43.4% (56/129) CD56 negative patients received ASCT. Univariate and multivariate analyses showed that ASCT was correlated with longer OS (p < 0.001) and PFS (p < 0.001) for CD56 positive patients. ASCT may improve PFS of CD56 negative patients in univariate analysis, but it had no impact on PFS in multivariate analysis. Moreover, ASCT could not improve OS of CD56 negative patients in univariate and multivariate analysis (p > 0.05). In the propensity score matching analysis, 216 patients with CD56 expression were identified, 108 patients had received ASCT and 108 patients had no ASCT. Among 129 patients without CD56 expression, 80 patients, 40 in each group, were identified. Among 216 matched patients with CD56 expression, patients with ASCT had longer OS (87.6 vs.56.1 months, p < 0.001) and PFS (40.4 vs.27.6 months, p = 0.003). However, ASCT had no impact on OS and PFS for matched patients without CD56 expression (p > 0.05).
Conclusions
These results demonstrated that ASCT may improve OS and PFS of patients with CD56 expression and had little impact on survival of CD56 negative patients.
Research Square Platform LLC
Title: Newly diagnosed multiple myeloma patients with CD56 expression benefit more from autologous stem cell transplantation
Description:
Abstract
Background
Several studies showed that lack of CD56 expression was a poor prognostic factor for patients with newly diagnosed multiple myeloma (NDMM).
However, other studies were not able to confirm the prognostic value of CD56 in NDMM.
This study aimed to evaluate the prognostic value of CD56 expression for patients with NDMM who received autologous stem cell transplantation (ASCT).
Methods
We retrospectively analyzed 394 patients with NDMM under 66 years old and the propensity score matching technique was used to reduce the bias between two groups.
Results
CD56 expression was observed in 265 (67.
3%) patients, and 175 (44.
4%) patients received ASCT.
44.
9% (119/265) CD56 positive patients received ASCT; and 43.
4% (56/129) CD56 negative patients received ASCT.
Univariate and multivariate analyses showed that ASCT was correlated with longer OS (p < 0.
001) and PFS (p < 0.
001) for CD56 positive patients.
ASCT may improve PFS of CD56 negative patients in univariate analysis, but it had no impact on PFS in multivariate analysis.
Moreover, ASCT could not improve OS of CD56 negative patients in univariate and multivariate analysis (p > 0.
05).
In the propensity score matching analysis, 216 patients with CD56 expression were identified, 108 patients had received ASCT and 108 patients had no ASCT.
Among 129 patients without CD56 expression, 80 patients, 40 in each group, were identified.
Among 216 matched patients with CD56 expression, patients with ASCT had longer OS (87.
6 vs.
56.
1 months, p < 0.
001) and PFS (40.
4 vs.
27.
6 months, p = 0.
003).
However, ASCT had no impact on OS and PFS for matched patients without CD56 expression (p > 0.
05).
Conclusions
These results demonstrated that ASCT may improve OS and PFS of patients with CD56 expression and had little impact on survival of CD56 negative patients.
Related Results
Newly diagnosed multiple myeloma patients with CD56 expression benefit more from autologous stem cell transplantation
Newly diagnosed multiple myeloma patients with CD56 expression benefit more from autologous stem cell transplantation
Abstract
Background
Several studies showed that lack of CD56 expression was a poor prognostic factor for patients with newly diagnosed multiple myel...
Stem cells
Stem cells
What is a stem cell? The term is a combination of ‘cell’ and ‘stem’. A cell is a major category of living thing, while a stem is a site of growth and support for something else. In...
Data from Functional B7.2 and B7-H2 Molecules on Myeloma Cells Are Associated with a Growth Advantage
Data from Functional B7.2 and B7-H2 Molecules on Myeloma Cells Are Associated with a Growth Advantage
<div>Abstract<p><b>Purpose:</b> B7 family molecules expressed on antigen-presenting cells stimulate or inhibit normal immune responses. The aim of this stud...
Data from Functional B7.2 and B7-H2 Molecules on Myeloma Cells Are Associated with a Growth Advantage
Data from Functional B7.2 and B7-H2 Molecules on Myeloma Cells Are Associated with a Growth Advantage
<div>Abstract<p><b>Purpose:</b> B7 family molecules expressed on antigen-presenting cells stimulate or inhibit normal immune responses. The aim of this stud...
MAF Protein Elicits Innate Resistance To Bortezomib In Multiple Myeloma
MAF Protein Elicits Innate Resistance To Bortezomib In Multiple Myeloma
Abstract
Multiple myeloma (MM) is a malignancy of terminally differentiated clonal plasma cells displaying significant molecular heterogeneity with 7 subgroups defin...
Plasma Cell Disorders
Plasma Cell Disorders
Multiple myeloma represents 1.4% of all new patients with cancer and will result in an estimated 11,090 deaths in 2014. It is twice as common in black men as in white men and 2.5 t...
Plasma Cell Disorders
Plasma Cell Disorders
Multiple myeloma represents 1.4% of all new patients with cancer and will result in an estimated 11,090 deaths in 2014. It is twice as common in black men as in white men and 2.5 t...
MARS-seq2.0: an experimental and analytical pipeline for indexed sorting combined with single-cell RNA sequencing v1
MARS-seq2.0: an experimental and analytical pipeline for indexed sorting combined with single-cell RNA sequencing v1
Human tissues comprise trillions of cells that populate a complex space of molecular phenotypes and functions and that vary in abundance by 4–9 orders of magnitude. Relying solely ...

