Dataset Information

Increased T regulatory cells are associated with adverse clinical features and predict progression in multiple myeloma.

ABSTRACT:

Background

Regulatory T (Treg) cells play an important role in the maintenance of immune system homeostasis. Multiple myeloma (MM) is a plasma cell disorder frequently associated with impaired immune cell numbers and functions.

Methods

We analyzed Treg cells in peripheral blood (n?=?207) and bone marrow (n?=?202) of pre-malignant and malignant MM patients using flow cytometry. Treg cells and their subsets from MM patients and healthy volunteers were functionally evaluated for their suppressive property. A cohort of 25 patients was analyzed for lymphocytes, CD4 T cells and Treg cells before and after treatment with cyclophosphamide, thalidomide plus dexamethasone (CTD).

Results

We found elevated frequencies of Treg cells in newly diagnosed (P<0.01) and relapsed MM patients (P<0.0001) compared to healthy volunteers. Also, Treg subsets including naïve (P?=?0.015) and activated (P?=?0.036) Treg cells were significantly increased in MM patients compared to healthy volunteers. Functional studies showed that Treg cells and their subsets from both MM and healthy volunteers were similar in their inhibitory function. Significantly increased frequencies of Treg cells were found in MM patients with adverse clinical features such as hypercalcemia (>10 mg/dL), decreased normal plasma cell (?5%) count and IgA myeloma subtype. We also showed that MM patients with ?5% of Treg cells had inferior time to progression (TTP) (13 months vs. median not reached; P?=?0.013). Furthermore, we demonstrated the prognostic value of Treg cells in prediction of TTP by Cox regression analysis (P?=?0.045). CTD treatment significantly reduced frequencies of CD4 T cells (P?=?0.001) and Treg cells (P?=?0.018) but not Treg cells/CD4 T cells ratio compared to pre-treatment.

Conclusions

Our study showed immune deregulation in MM patients which is evidenced by elevated level of functionally active Treg cells and patients with increased Treg cells have higher risk of progression.

SUBMITTER: Muthu Raja KR

PROVIDER: S-EPMC3468567 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Increased T regulatory cells are associated with adverse clinical features and predict progression in multiple myeloma.

Muthu Raja Karthick Raja KR Rihova Lucie L Zahradova Lenka L Klincova Maria M Penka Miroslav M Hajek Roman R

PloS one 20121010 10

<h4>Background</h4>Regulatory T (Treg) cells play an important role in the maintenance of immune system homeostasis. Multiple myeloma (MM) is a plasma cell disorder frequently associated with impaired immune cell numbers and functions.<h4>Methods</h4>We analyzed Treg cells in peripheral blood (n = 207) and bone marrow (n = 202) of pre-malignant and malignant MM patients using flow cytometry. Treg cells and their subsets from MM patients and healthy volunteers were functionally evaluated for thei ...[more]

PMID: 23071717

Similar Datasets

Project description:Multiple system atrophy is characterized by autonomic failure along with motor symptoms of parkinsonism and/or cerebellar ataxia. There are differing reports on the influence of certain clinical features, including motor subtype (multiple system atrophy-parkinsonism versus multiple system atrophy-cerebellar ataxia), age of onset, gender, and early autonomic symptoms, on the survival in patients with multiple system atrophy. We sought to evaluate overall survival and predictors of survival in a large cohort of patients with multiple system atrophy seen at a single referral centre where objective autonomic testing is routinely performed for this indication. All cases of multiple system atrophy evaluated at Mayo Clinic, Rochester and assessed with an autonomic reflex screen between January 1998 and December 2012 were retrospectively reviewed. A total of 685 patients were identified; 594 met criteria for probable multiple system atrophy, and 91 for possible multiple system atrophy. Multiple system atrophy-parkinsonism was the predominant subtype in 430 patients (63%). Average age of onset was earlier in multiple system atrophy-cerebellar ataxia (58.4 years) compared to multiple system atrophy-parkinsonism (62.3 years; P < 0.001). Median disease duration from symptom onset to death was 7.51 years (95% confidence interval 7.18-7.78) while time from diagnosis to death was 3.33 years (95% confidence interval 2.92-3.59). There was no difference in survival between motor subtypes of multiple system atrophy (P = 0.232). An initial motor symptom was most common (61%) followed by autonomic onset (28%) and combined motor and autonomic symptoms (11%). The initial onset of either motor or autonomic symptoms did not influence length of survival. However, a number of clinical and autonomic laboratory features predicted unfavourable survival in a univariate analysis. A multivariate model retained the following unfavourable predictors of survival: (i) falls within 3 years of onset (hazard ratio 2.31, P < 0.0001); (ii) bladder symptoms (hazard ratio 1.96, P < 0.0001); (iii) urinary catheterization within 3 years of symptom onset (hazard ratio 1.67, P < 0.003); (iv) orthostatic intolerance within 1 year of symptom onset (hazard ratio 1.28, P < 0.014); (v) older age of onset (hazard ratio 1.02, P = 0.001); and (vi) degree of autonomic failure as measured by a validated composite autonomic severity score (hazard ratio 1.07, P < 0.0023). We conclude that carefully selected clinical features can be used to predict survival in patients with multiple system atrophy. Autonomic testing adds an additional, independent predictor of survival, demonstrating its value not only in the diagnosis of multiple system atrophy but also as prognostic marker.

Dataset Information

Increased T regulatory cells are associated with adverse clinical features and predict progression in multiple myeloma.

Background

Methods

Results

Conclusions

Publications

Increased T regulatory cells are associated with adverse clinical features and predict progression in multiple myeloma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure