Project description:In a two-stage study we investigated levels of Immunoglobulin G (IgG) reactivity in plasma from Myelodysplastic Syndrome (MDS) and Acute Myeloid Leukemia (AML) post MDS patients (59 and 16 cases respectively) as compared to healthy cohort (34). In Stage I we utilized high-throughput protein arrays (23 232 total signals, in duplicate) to identify proteins of high-interest. In Stage II we designed new protein arrays (352 total signals, in duplicate) to further focus on 25 of the proteins from Stage I and expanded to a larger cohort, including both male and female samples (161 MDS and 43 AML patients; 112 healthy controls). Stage I resulted in 35 proteins displaying increased IgG reactivity in patients as compared to the healthy controls (P< 4.3 x10-07, Bonferroni Corrected P<0.01). This protein subset included 14 proteins associated with cancer, 12 with apoptosis, and 3 with the NFAT Regulation canonical pathway. Using the focused arrays we performed a classification of MDS patients and healthy controls. Stage II subsequently identified a high-interest focused set of 3 proteins, namely AKT3, FCGR3A and ARL8B displaying aberrant increased reactivity in patient subgroups, in concordance with Stage I. Autoantibody reactivity against specific proteins provides complementary information to other known molecular signatures for MDS and may enhance our capabilities for detecting and classifying MDS. In the study presented here, MDS patients were classified into Stable, Transforming or AML post MDS (L) classes retrospectively. The different patients were compared to a healthy cohort to assess increased autoantibody reactivity to specific patients as opposed to healthy groups Stage 2 of study: 633 Files analyzed for: 316 Patients in duplicate and a negative control. The proteins on the array were selected following a first stage using ProtoArrays
Project description:In a two-stage study we investigated levels of Immunoglobulin G (IgG) reactivity in plasma from Myelodysplastic Syndrome (MDS) and Acute Myeloid Leukemia (AML) post MDS patients (59 and 16 cases respectively) as compared to healthy cohort (34). In Stage I we utilized high-throughput protein arrays (23 232 total signals, in duplicate) to identify proteins of high-interest. In Stage II we designed new protein arrays (352 total signals, in duplicate) to further focus on 25 of the proteins from Stage I and expanded to a larger cohort, including both male and female samples (161 MDS and 43 AML patients; 112 healthy controls). Stage I resulted in 35 proteins displaying increased IgG reactivity in patients as compared to the healthy controls (P< 4.3 x10-07, Bonferroni Corrected P<0.01). This protein subset included 14 proteins associated with cancer, 12 with apoptosis, and 3 with the NFAT Regulation canonical pathway. Using the focused arrays we performed a classification of MDS patients and healthy controls. Stage II subsequently identified a high-interest focused set of 3 proteins, namely AKT3, FCGR3A and ARL8B displaying aberrant increased reactivity in patient subgroups, in concordance with Stage I. Autoantibody reactivity against specific proteins provides complementary information to other known molecular signatures for MDS and may enhance our capabilities for detecting and classifying MDS. In the study presented here, MDS patients were classified into Stable, Transforming or AML post MDS (L) classes retrospectively. The different patients were compared to a healthy cohort to assess increased autoantibody reactivity to specific patients as opposed to healthy groups Stage 1 of Study: 111 Files Analyzed, 37 sMDS, 22 tMDS, 16 AML(L), 34 Healthy and 2 Negative Controls (used to eliminate non-plasma signals)
Project description:In a two-stage study we investigated levels of Immunoglobulin G (IgG) reactivity in plasma from Myelodysplastic Syndrome (MDS) and Acute Myeloid Leukemia (AML) post MDS patients (59 and 16 cases respectively) as compared to healthy cohort (34). In Stage I we utilized high-throughput protein arrays (23 232 total signals, in duplicate) to identify proteins of high-interest. In Stage II we designed new protein arrays (352 total signals, in duplicate) to further focus on 25 of the proteins from Stage I and expanded to a larger cohort, including both male and female samples (161 MDS and 43 AML patients; 112 healthy controls). Stage I resulted in 35 proteins displaying increased IgG reactivity in patients as compared to the healthy controls (P< 4.3 x10-07, Bonferroni Corrected P<0.01). This protein subset included 14 proteins associated with cancer, 12 with apoptosis, and 3 with the NFAT Regulation canonical pathway. Using the focused arrays we performed a classification of MDS patients and healthy controls. Stage II subsequently identified a high-interest focused set of 3 proteins, namely AKT3, FCGR3A and ARL8B displaying aberrant increased reactivity in patient subgroups, in concordance with Stage I. Autoantibody reactivity against specific proteins provides complementary information to other known molecular signatures for MDS and may enhance our capabilities for detecting and classifying MDS. In the study presented here, MDS patients were classified into Stable, Transforming or AML post MDS (L) classes retrospectively. The different patients were compared to a healthy cohort to assess increased autoantibody reactivity to specific patients as opposed to healthy groups
Project description:In a two-stage study we investigated levels of Immunoglobulin G (IgG) reactivity in plasma from Myelodysplastic Syndrome (MDS) and Acute Myeloid Leukemia (AML) post MDS patients (59 and 16 cases respectively) as compared to healthy cohort (34). In Stage I we utilized high-throughput protein arrays (23 232 total signals, in duplicate) to identify proteins of high-interest. In Stage II we designed new protein arrays (352 total signals, in duplicate) to further focus on 25 of the proteins from Stage I and expanded to a larger cohort, including both male and female samples (161 MDS and 43 AML patients; 112 healthy controls). Stage I resulted in 35 proteins displaying increased IgG reactivity in patients as compared to the healthy controls (P< 4.3 x10-07, Bonferroni Corrected P<0.01). This protein subset included 14 proteins associated with cancer, 12 with apoptosis, and 3 with the NFAT Regulation canonical pathway. Using the focused arrays we performed a classification of MDS patients and healthy controls. Stage II subsequently identified a high-interest focused set of 3 proteins, namely AKT3, FCGR3A and ARL8B displaying aberrant increased reactivity in patient subgroups, in concordance with Stage I. Autoantibody reactivity against specific proteins provides complementary information to other known molecular signatures for MDS and may enhance our capabilities for detecting and classifying MDS. In the study presented here, MDS patients were classified into Stable, Transforming or AML post MDS (L) classes retrospectively. The different patients were compared to a healthy cohort to assess increased autoantibody reactivity to specific patients as opposed to healthy groups
Project description:Control of oxidative stress in the bone marrow (BM) is key for maintaining the balance between self-renewal, proliferation, and differentiation of hematopoietic cells. Breakdown of this regulation can lead to diseases characterized by BM failure such as the myelodysplastic syndromes (MDS). To better understand the role of oxidative stress in MDS development, we compared protein carbonylation as an oxidative stress marker in BM of patients with MDS and control subjects, and also patients with MDS under treatment with the iron chelator deferasirox.
2019-10-30 | PXD013609 | Pride
Project description:Protein Array Screening of Myelodysplastic Syndromes
Project description:Myelodysplastic syndromes (MDS) are uncommon entities, heterogeneous clinically and cytogenetically. Recently, a new drug, Lenalidomide, has demonstrated to be very effective in patients with MDS and 5q- reaching 70% of hematological responses whereas patients with MDS without 5q- has only 20-30% of hematological responses. The aim of the present study is to determine genetic alteration in this subset of patients, and describe candidate genes related with response or resistance to Lenalidomide.