scholarly journals Integration Analysis of JAK2 or RUNX1 Mutation With Bone Marrow Blast Can Improve Risk Stratification in the Patients With Lower Risk Myelodysplastic Syndrome

2021 ◽  
Vol 10 ◽  
Author(s):  
Ying Fang ◽  
Juan Guo ◽  
Dong Wu ◽  
Ling-Yun Wu ◽  
Lu-Xi Song ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Risk Stratification ◽  
Myelodysplastic Syndrome ◽  
Lower Risk ◽  
Univariate Analysis ◽  
Progression Free Survival ◽  
International Prognostic Scoring System ◽  
Bone Marrow Blast ◽  
Improve Risk Stratification ◽  
Mutational Status

Despite the improvements in prognostication of the revised International Prognostic Scoring System (IPSS-R) in myelodysplastic syndrome (MDS), there remain a portion of patients with lower risk (low/intermediate risk, LR) but poor prognostics. This study aimed to evaluate the relative contribution of mutational status when added to the IPSS-R, for estimating overall survival (OS) and progression-free survival (PFS) in patients with LR-MDS. We retrospectively analyzed clinical and laboratory variables of 328 patients diagnosed with MDS according to the FAB criteria. Twenty-nine-gene NGS assay was applied to bone marrow samples obtained at diagnosis. 233 (71.04%) patients were classified as LR-MDS. Univariate analysis showed association between inferior outcome (OS and PFS) and presence of JAK2 (p = 0.0177, p = 0.0002), RUNX1 (p = 0.0250, p = 0.0387), and U2AF1 (p = 0.0227, p = 0.7995) mutations. Multivariable survival analysis revealed JAK2 (p < 0.0001) and RUNX1 (p = 0.0215) mutations were independently prognostic for PFS in LR-MDS. Interestingly, bone marrow blast >1.5% could further predict disease progression of patients with LR-MDS (HR 8.06, 95%CI 2.95–22.04, p < 0.0001). Incorporation of JAK2, RUNX1 mutation and bone marrow blast in the IPSS-R can improve risk stratification in patients with LR-MDS. In summary, our result provided new risk factors for LR-MDS prognostics to identify candidates for early therapeutic intervention.

scholarly journals Next-Generation Sequencing in Myelodysplastic Syndromes: Prognostic Interaction Between Adverse Mutations and IPSS-R

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 1986-1986
Author(s):  
Naseema Gangat ◽  
Terra L. Lasho ◽  
Lyla Saeed ◽  
Mythri Mudireddy ◽  
Mrinal M Patnaik ◽  
...  
Keyword(s):  
Risk Factors ◽  
Bone Marrow ◽  
Overall Survival ◽  
Platelet Count ◽  
Lower Risk ◽  
Univariate Analysis ◽  
Bone Marrow Blast ◽  
Free Survival ◽  
Clinical Correlates ◽  
Generation Sequencing

Abstract Background In a seminal report (NEJM 2011;30:2496), ASXL1, TP53, EZH2, ETV6 and RUNX1 mutations in myelodysplastic syndromes (MDS) were shown to carry an adverse prognostic impact that was independent of the international prognostic scoring system (IPSS) (Blood 1997;89:2079). Two recent studies (Leukemia20 May 2016; doi: 10.1038/leu.2016.138; Leukemia. 2014;28:241) have proposed mutation-enhanced prognostic models that include the revised IPSS (IPSS-R) (Blood 2012;120:2454 ). In the current study, we applied targeted next generation sequencing (NGS) in order to examine the prognostic interaction between adverse mutations and IPSS-R. Methods The study population was recruited from our institutional database of patients with primary MDS, based on availability of archived DNA from the time of diagnosis. The diagnosis of MDS and leukemic transformation (LT) was made according to WHO criteria (Blood. 2009;114:937). Targeted capture assays were carried out, on bone marrow DNA specimens, for the following genes: TET2, DNMT3A, IDH1, IDH2, ASXL1, EZH2, SUZ12, SRSF2, SF3B1, ZRSR2, U2AF1, PTPN11, Tp53, SH2B3, RUNX1, CBL, NRAS, JAK2, CSF3R, FLT3, KIT, CALR, MPL, NPM1, CEBPA, IKZF, and SETBP1.Specific variants were deemed as mutations if they are associated with a hematologic malignancy (as identified by COSMIC database), or if they have not been associated with a dbSNP. Results Patient characteristics and type and number of mutations: 179 patients were evaluated (median age 73 years; 68% males). IPSS-R risk distribution was 11% very high, 18% high, 16% intermediate, 39% low and 16% very low. At least one mutation was seen in 139 (78%) patients including 17% with one mutation, 29% with 2, 20% with 3, 10% with four, 2% with 5 and one patient with 6 mutations. The most frequent mutations were ASXL1 (30%), SF3B1 (20%), TET2 (17%), U2AF1 (16%) and SRSF2 (16%). Mutation clusters and clinical correlates: ASXL1 mutations were associated with the absence of SF3B1 (p=0.007), U2AF1 (p=0.01) and SRSF2 (p=0.003) mutations; SF3B1 with absence of U2AF1 (p=0.004) and SRSF2 (p=0.004) mutations; and U2AF1 with absence of SRSF2 mutations (p=0.01). Clinical correlates of ASXL1 mutations included older age, lower hemoglobin, and lower risk karyotype; SF3B1 with higher leukocyte count, higher platelet count, lower bone marrow blast percentage and lower risk karyotype; TET2 with older age and higher hemoglobin. Univariate overall and leukemia-free survival analysis before and after adjusting for IPSS-R: In univariate analysis, ASXL1, RUNX1 and TP53 mutations adversely and SF3B1 favorably affected survival; only ASXL1 mutations retained significance when analysis was adjusted for IPSS-R (HR 1.5, 95% CI 1.0-2.1; p=0.03). For leukemia-free survival, univariate analysis identified SRSF2, which was near-significant for overall survival (p=0.06), and RUNX1 mutations as adverse and SF3B1 mutations as favorable risk factors; SRSF2 (HR 4.1, 95% CI 1.6-10.2) and SF3B1-unmutated (HR 5.9, 95% CI 1.1-31.5) retained their significance when adjusted for IPSS-R. A borderline significance (p=0.07) indicating inferior survival for patients with three or more mutations was fully accounted for by the significant (P<0.0001) association between the presence of ASXL1 mutations and higher number of mutations. Multivariable analysis with individual IPSS-R variables: When the five IPSS-R variables (hemoglobin, platelets, absolute neutrophil count, bone marrow blast percentage and karyotype) were analyzed (both as continuous and IPSS-R-defined categorical variables) with each one of the aforementioned mutations with significant effect on overall or leukemia-free survival, only ASXL1 retained its significance for overall survival (HR 1.6, 95% CI 1.1-2.3) and SRSF2 (HR 5.2, 95% CI 2.1-13.3) for leukemia-free survival. Other IPSS-R variables that retained their significance for survival, in the presence of ASXL1 mutation status as a covariate, included hemoglobin level, platelet count and karyotype. Conclusions: In our cohort of 179 molecularly-annotated patients with newly-diagnosed primary MDS, ASXL1 and SRSF2 mutations were identified as IPSS-R-independent risk factors for overall and leukemia-free survival, respectively. The current study also suggests the need to re-evaluate currently established risk factors, in the context of prognostically-relevant molecular information. Disclosures No relevant conflicts of interest to declare.

scholarly journals CIRCULATING microRNA EXPRESSION IN MYELODYSPLASTIC SYNDROME

2019 ◽  
Vol 141 (7-8) ◽  
pp. 233-237
Keyword(s):  
Bone Marrow ◽  
Myelodysplastic Syndrome ◽  
Peripheral Blood ◽  
Scoring System ◽  
Molecular Mechanisms ◽  
International Prognostic Scoring System ◽  
Circulating Microrna ◽  
Hematopoietic Stem ◽  
The Impact

Myelodysplastic syndrome (MDS) is a clonal hematopoietic stem cell disorder characterized by ineffective hematopoiesis and cytopenia in peripheral blood, where about a third of patients may develop acute myeloid leukemia (AML). The diagnosis of MDS requires the analysis of peripheral blood and bone marrow. Depending on the percentage of blasts in the bone marrow, the number of cytopenias and cytogenetic abnormalities, determination of the prognostic indices is possible (IPSS – „International Prognostic Scoring System“, R-IPSS-„Revised International Prognostic Scoring System“, WPSS – „WHO Prognostic Scoring System“). Until today, numerous studies have been conducted on the molecular mechanisms and epigenetic pathways in myelodysplastic syndrome, and their prognostic and therapeutic importance, but there are few studies analyzing the importance of microRNAs (miRNAs) in MDS. In the last few years, there have been numerous results on the impact of aberrant miRNA expression in malignant disorders where the miRNA represent tumor suppressor genes or oncogenes. Several miRNAs have been recognized as diagnostic and prognostic parameters and possible therapeutic targets. In this paper, we present the overview of recent results on the role of miRNA in MDS.

scholarly journals Mutational Characteristics and Changing Pattern from Idiopathic Cytopenia of Undetermined Significance to High-Risk Myelodysplastic Syndrome Stratified By IPSS-R

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3009-3009
Author(s):  
Eun-Ji Choi ◽  
Young-Uk Cho ◽  
Seongsoo Jang ◽  
Chan-jeoung Park ◽  
Han-Seung Park ◽  
...  
Keyword(s):  
Bone Marrow ◽  
High Risk ◽  
Myelodysplastic Syndrome ◽  
Rna Splicing ◽  
Conflicts Of Interest ◽  
Low Risk ◽  
International Prognostic Scoring System ◽  
Intermediate Risk ◽  
Sequencing Data ◽  
Undetermined Significance

Background: Unexplained cytopenia comprises a spectrum of hematological diseases from idiopathic cytopenia of undetermined significance (ICUS) to myelodysplastic syndrome (MDS). Revised International Prognostic Scoring System (IPSS-R) is the standard tool to assess risk in MDS. Here, we investigated the occurrence, characteristics, and changing pattern of mutations in patients with ICUS and MDS stratified by IPSS-R score. Methods: A total of 211 patients were enrolled: 73 with ICUS and 138 with MDS. We analyzed the sequencing data of a targeted gene panel assay covering 141 genes using the MiSeqDx platform (Illumina). The lower limit of variant allele frequency (VAF) was set to 2.0% of mutant allele reads. Bone marrow components were assessed for the revised diagnosis according to the 2016 WHO classification. Lower-risk (LR) MDS was defined as those cases with very low- or low-risk MDS according to the IPSS-R. Higher-risk (HR) MDS was defined as those cases with high- or very high-risk MDS according to the IPSS-R. Results: Patients with ICUS were classified as very low-risk (39.7%), low-risk (54.8%), and intermediate-risk (5.5%) according to the IPSS-R. Patients with MDS were classified as LR (35.5%), intermediate-risk (30.4%), and HR (34.1%). In the ICUS, 28 (38.4%) patients carried at least one mutation in the recurrently mutated genes in MDS (MDS mutation). The most commonly mutated genes were DNMT3A (11.0%), followed by TET2 (9.6%), BCOR (4.1%), and U2AF1, SRSF2, IDH1 and ETV6 (2.7% for each). IPSS-R classification was not associated with mutational VAF and the number of mutations in ICUS. In the 49 LR MDS, 28 (57.1%) patients carried at least one MDS mutation. The most commonly mutated genes were SF3B1 (20.4%), followed by TET2 (12.2%), U2AF1 (10.2%), DNMT3A (10.2%), ASXL1 (10.2%), and BCOR (6.1%). Higher VAF and number of mutations were observed in LR MDS compared to ICUS patients. In the 42 intermediate-risk MDS, 27 (64.3%) patients carried at least one MDS mutation. The most commonly mutated genes were ASXL1 (23.8%), followed by TET2 (21.4%), RUNX1 (16.7%), U2AF1 (14.3%), DNMT3A (14.3%), SF3B1 (9.5%), and SRSF2, BCOR, STAG2 and CBL (7.1% for each). In the 47 HR MDS, 36 (76.6%) patients carried at least one MDS mutation. The most commonly mutated genes were TET2 (25.5%), followed by DNMT3A (14.9%), TP53 (14.9%), RUNX1 (12.8%), U2AF1 (10.6%), ASXL1 (10.6%), and SRSF2 and KRAS (6.4% for each). As the disease progressed, VAF and number of the MDS mutations gradually increased, and mutations involving RNA splicing, histone modification, transcription factor or p53 pathway had a trend for increasing frequency. Specifically, ASXL1, TP53, and RUNX1 mutations were the most striking features in patients with advanced stage of the disease. Cohesin mutations were not detected in ICUS, whereas these mutations were detected at a relatively high frequency in HR MDS. Our data were summarized in Table 1. Conclusions: We demonstrate that on disease progression, MDS mutations are increased in number as well as are expanded in size. Furthermore, a subset of mutations tends to be enriched for intermediate- to HR MDS. The results of this study can aid both diagnostic and prognostic stratification in patients with unexpected cytopenia. In particular, characterization of MDS mutations can be useful in refining bone marrow diagnosis in challenging situations such as distinguishing LR MDS from ICUS. Disclosures No relevant conflicts of interest to declare.

Leukocyte Alkaline Phosphatase Score as a Marker of Severity and Progression of Myelodysplastic Syndrome.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 4625-4625 ◽  
Author(s):  
Jay Lipshitz ◽  
Sewanti Limaye ◽  
Dilip Patel
Keyword(s):  
Bone Marrow ◽  
Alkaline Phosphatase ◽  
Myelodysplastic Syndrome ◽  
Disease Activity ◽  
Disease Progression ◽  
Myelogenous Leukemia ◽  
Bone Marrow Blast ◽  
Leukocyte Alkaline Phosphatase ◽  
Significant Difference ◽  
Bone Marrow Blasts

Abstract Leukocyte Alkaline Phosphatase (LAP) Score is valuable in the work-up of certain hematological diseases. Most notably, the score is decreased in Chronic Myelogenous Leukemia and Paraoxysmal Nocturnal Hemaglobinurea but increased in leukemoid reaction to infection and Polycythemia Vera. Last year we reported the LAP scores of 14 patients with Myelodysplastic Syndrome (MDS). Our results showed that patients with less than 5% bone marrow blasts had significantly higher LAP scores than patients with 5–19% bone marrow blasts. We raised the possibility that LAP scores decrease as MDS progresses (Blood, Nov 2006; 108: 4865). In the present study we attempt to further evaluate the utility of LAP in MDS. In addition to our original cohort, bone marrow aspirate results and LAP scores were reviewed from 14 more patients with MDS, for a total of 28 patients. We again assessed the relationship of LAP to bone marrow blast percentage. Furthermore, we recorded a second LAP score, taken at a later date, from 16 of the 28 patients. For those patients with two LAP scores we compared the trend of LAP score to the interval activity of MDS, using transfusion requirement, complete blood cell count (CBC) and clinical assessment as markers of disease activity. In our analysis of LAP score relative to bone marrow blast percentage we again found a significant difference between patients with less than 5% blasts (n=8) and those with 5% to19% blasts (n=20). Patients with less than 5% blasts had significantly higher LAP scores (90.25 ± 18.27) than those with 5 to19% blasts (44.35 ± 52.09) (p<0.0048) (see charts 1 and 2). In our analysis of LAP score in relation to disease progression we found that among patients for whom LAP score decreased, 42.9% (3/7) had disease progression. In patients whose LAP score increased, 11.1% (1/9) had disease progression (p<0.2615) (chart 3). Overall, our results confirm that LAP scores do tend to be lower in patients with more severe disease, as assessed by bone marrow blast percentage. However, although a trend was observed toward change in LAP score correlating with disease activity this was not statistically significant, and larger prospective studies are necessary to assess whether LAP is an accurate marker of MDS progression. Chart 1: LAP scores of patients 1 through 8 with bone marrow blasts less than 5% (mean 90.25, median 96) Chart 2: LAP scores for patients 1 through 20 with bone marrow blasts of 5% to 19% (mean 44.35, median 30) Chart 1: LAP scores of patients 1 through 8 with bone marrow blasts less than 5% (mean 90.25, median 96) . / Chart 2: LAP scores for patients 1 through 20 with bone marrow blasts of 5% to 19% (mean 44.35, median 30) Chart 3: Percent of patients with disease progression among those with decrease in LAP score (white) and those with increase in LAP score (gray) (p<0.2615). Chart 3: Percent of patients with disease progression among those with decrease in LAP score (white) and those with increase in LAP score (gray) (p<0.2615).

Mutation Analysis in 200 Cases of Newly Diagnosed Myelodysplastic Syndrome By Next Generation Sequencing: Association with Established Prognostic Variables and IPSS-R

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1703-1703
Author(s):  
Kankana Ghosh ◽  
Parsa Hodjat ◽  
Priyanka Priyanka ◽  
Beenu Thakral ◽  
Keyur P. Patel ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Next Generation Sequencing ◽  
Myelodysplastic Syndrome ◽  
Mutation Analysis ◽  
Conflicts Of Interest ◽  
International Prognostic Scoring System ◽  
P Value ◽  
Newly Diagnosed ◽  
Next Generation ◽  
Generation Sequencing

Abstract INTRODUCTION Myelodysplastic syndrome (MDS) is known to have numerous genomic aberrations that predict response to treatment and overall survival. We aimed to assess various mutations in newly diagnosed MDS cases by next generation sequencing (NGS) and their association with various well-established clinicopathologic parameters and the Revised International Prognostic Scoring System (IPSS-R). MATERIALS AND METHODS We performed molecular studies on DNA extracted from bone marrow aspirate specimens in 200 newly diagnosed treatment naïve MDS patients presenting at a single institution from 08/2013 to 03/2015 as part of routine clinical work up in a CLIA certified molecular diagnostics laboratory. Cases met criteria for MDS per WHO 2008 criteria. The entire coding sequences of 28 genes (ABL1, ASXL1, BRAF, DNMT3A, EGFR, EZH2, FLT3, GATA1, GATA2, HRAS, IDH1, IDH2, IKZF2, JAK2, KIT, KRAS, MDM2, MLL, MPL, MYD88, NOTCH1, NPM1, NRAS, PTPN11, RUNX1, TET2, TP53, WT1) were sequenced using a NGS-based custom-designed assay using TruSeq chemistry on Illumina MiSeq platform. FLT3 internal tandem duplications (ITD) and codon 835/836 point mutation were detected by PCR followed by capillary electrophoresis. CEBPA mutation analysis was performed by PCR followed by Sanger sequencing on 186 patients. RESULTS Median age was 67 years. Patients included 139 males (69.5%) and 61 females (30.5%). Hematologic parameters are as follows [median (range)]: Hb 9.6 g/dL (5-16.7), platelets 75 K/μ L (5-652), WBC: 2.8 K/μ L (0.4-20.8), ANC 1.3 K/μ L (0.0 -12.0), AMC 0.2 K/μ L (0.0-3). Bone marrow (BM) blasts [median (range)] were 4% (0-19). Of 192 patients with cytogenetic analysis performed, 65 (33.85%) had diploid karyotype, 53 (27.6%) had one, 21 (10.93%) had two, 13 (6.77%) had three, 40 (20.83%) had > three abnormalities. IPSS-R risk categorization of the 200 cases is as follows: very low (17 cases, 8.5%), low (46, 23%) intermediate (42, 21%), high (47, 23.5%), very high (48, 24%). Mutations identified by NGS are as detailed in Table 1. Of the 4 patients with FLT mutations detected, the breakdown is as follows: FLT3 ITD (3, 75%), FLT3 D835 (1, 25%), FLT3, ITD + D835 (0, 0%). CEBPA mutation was detected in 12 of 186 (6.45%) cases assessed. CEBPA was detected in 12 (6.45%). Sixty three (31.5%) cases had no mutations detected in the genes analyzed by NGS or PCR, 80 (40%) had mutations in one, 42 (21%) had mutations in two, 8 (4%) in three and 7 (3.5%) in > three genes. We found positive associations between mutated genes and various parameters as detailed in Table 2. No association was found between frequency of any particular mutation and the IPSS-R score. CONCLUSIONS: MDS is a heterogeneous group of myeloid neoplasms at the genetic level. Multiple genetic mutations in a large subset of cases likely indicate clonal evolution. A subset of mutations has significant association with well-established clinico-pathologic parameters like WBC and BM blast percentage. With longer follow-up, we could use this data to refine IPSS-R. Table 1. Number of cases % cases TP53 46 23 TET2 33 16.5 RUNX1 27 13.5 ASXL1 25 12.5 DNMT3A 17 8.5 EZH2 12 6 IDH2 8 4 IDH1 7 3.5 NRAS 7 3.5 JAK2 5 2.5 FLT3 4 2 PTPN11 3 1.5 EGFR 2 1 MPL 2 1 WT1 2 1 GATA2 1 0.5 KIT 1 0.5 KRAS 1 0.5 MYD88 1 0.5 NPM1 1 0.5 BRAF 1 0.5 Table 2. Mutated genes p value WBC ASXL1 <0.042 AEC TET2 <0.016 BM blast % RUNX1, CEBPA <0.008, p<0.02 BM myelocyte % TP53, TET2, RUNX1, DNMT3A <0.014, <0.014, <0.015, <0.038 AEC: absolute eosinophil count, BM: bone marrow Disclosures No relevant conflicts of interest to declare.

scholarly journals Towards CD177 As a Predictive Biomarker for Hypomethylating Agent Response in Myelodysplastic Syndrome

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4665-4665
Author(s):  
James Ignatz-Hoover ◽  
Pingfu Fu ◽  
Shufen Cao ◽  
Benjamin Tomlinson ◽  
Howard Meyerson
Keyword(s):  
Bone Marrow ◽  
Flow Cytometry ◽  
High Risk ◽  
Risk Stratification ◽  
Myelodysplastic Syndrome ◽  
Treatment Response ◽  
Myelodysplastic Syndromes ◽  
Bone Marrow Biopsies ◽  
Wide Range ◽  
Very High

Abstract Background Myelodysplastic syndrome (MDS) represents a heterogenous spectrum of pre-leukemic conditions with a wide range of outcomes. Higher risk MDS as classified by the revised international prognostic scoring system (IPSS-R) score is associated with poor overall survival and up to 30% of patients progressing to acute myeloid leukemia. Hypomethylating agents (HMA) such as azacitadine can improve cytopenias and delay progression to leukemia in about 30% of patients, but these agents may take months to promote response and initially exacerbate cytopenias. Thus treatment related biomarkers that help predict eventual hematologic response are of interest. CD177 is expressed in neutrophils and plays a role in cellular adhesion. In healthy cells, it exhibits bimodal expression by flow cytometry that is stable over time within an individual. The percentage of CD177 positive neutrophils is often decreased in hematopoietic malignancies and myelodysplastic syndromes. Our group has demonstrated that CD177 has diagnostic utility in the identification of myelodysplastic syndromes. As transcription of CD177 is regulated by CpG methylation of its promotor, we hypothesized that treatment with HMAs may improve CD177 expression in clinical responders and potentially guide continuation of HMA therapy. Methods To interrogate the above, we performed a retrospective review of patients with a diagnosed with MDS or MDS/MPN overlap syndromes who received disease modifying therapy with HMA at our institution from 2015 to 2018. Inclusion criteria required documentation of serial bone marrow biopsies with aspirate flow cytometry analysis. CD177 positivity was determined by increase in mean florescence intensity compared to isotype controls. Data was analyzed with using cox multivariate and univariate analysis correlating to treatment response. Results Of the 237 patients, 27 patients met the above criteria. Their average age was 62 (21 to 77) at time of diagnosis with 20 men and 7 women. They exhibited a range of R-IPSS risk stratification with four very high risk, eight high risk, six intermediate risk, and four low risk. Five cases were MDS/MPN overlap. Patients received on average 10 months of HMA treatment with a wide range from 1 month to 42 months of treatment. Median baseline CD177 positivity was 16, 31, 28.5, and 72 percent respectively amongst R-IPSS groups. Of the 27 patients analyzed with repeat bone marrow biopsies, eight patients exhibited 20% or greater increase in CD177(+) neutrophils, ten exhibited a decrease in CD177(+) neutrophils of 20% or greater, and nine exhibited less than a 20% change in CD177(+) neutrophils. with similar distribution of R-IPSS risk stratification amongst groups. (CD177-decreased: 1 very high, 3 high, 1 intermediate, 2 low risk, CD177-stable 1 very high, 2 high, 2 intermediate, and 1 low, Improved-CD177 1 very high, 4 high, 2 intermediate and 1 low). Cox proportional hazard analysis suggests that patients exhibiting a decrease or stable CD177 were less likely to exhibit a treatment response with results trending to significance (OR= 0.13 p=0.099). Conclusion Our initial data suggests that change in CD177 may help predict HMA treatment response. More uniform prospective analysis is indicated to compared CD177 changes over initial treatment. Furthermore, CD177 in peripheral blood and bone marrow samples correlate excellently (R 2=0.95). Prospective studies are underway to correlate CD177 change and initial treatment response utilizing flow analysis of pre-treatment CBCs. Disclosures No relevant conflicts of interest to declare.

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