Citations

Mayo Clinic

Clear

537 citation(s) found for "Gangat, Naseema".

Determinants of Long-Term Outcome in Type 1/like Calreticulin-Mutated Myelofibrosis
Finke, Christy M. , Hanson, Curtis A. , Pardanani, Animesh , Gangat, Naseema , Tefferi, Ayalew , Szuber, Natasha , Lasho, Terra L. , Ketterling, Rhett P.

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 1767-1767

10.1182/blood-2018-99-117458 Get It

Abstract Background: Type 1 calreticulin (CALR) variants comprise ~70% of all CALR mutations in primary myelofibrosis (PMF) and form a distinct phenotypic and prognostic disease subset (Leukemia. 2014;28:1568). Determinants of long-term outcome have not, however, been systematically appraised in this population. The current study documents the natural history, molecular correlates, and independent predictors of overall (OS), leukemia-free (LFS), and thrombosis-free (TFS) survival in CALR type 1/like-mutated myelofibrosis. Methods: Patients were recruited from the Mayo Clinic, Rochester, MN, USA. Diagnoses were consistent with World Health Organization (PMF, fibrotic/leukemic transformations) (Blood. 2016;127:2391) and International Working Group for Myeloproliferative Neoplasms Research and Treatment criteria (post-essential thrombocythemia (ET) MF) (Leukemia. 2008;22:437). Laboratory and clinical data were retrospectively abstracted corresponding to time of referral (PMF) or myelofibrotic transformation (post-ET MF). Conventional prognostic scoring was as previously outlined (Blood. 2010;115:1703; J Clin Oncol. 2018;36:1769). Recipients of allogeneic stem cell transplant were censored at the time of transplant. Standard statistical methods were used for all analyses using the JMP® Pro 13.0.0 software package (SAS Institute, Cary, NC, USA). Results: A total of 162 consecutive patients with CALR type 1/like-mutated myelofibrosis were identified: 139 (86%) with PMF and 23 (14%) with post-ET MF with median age 55 years (range 23-85), 62% male. The PMF and post-ET MF cohorts displayed similar phenotypic features with the exception of higher platelet counts (median 443 vs 340 x 109/l; P=0.02) in post-ET MF (Table 1). The most frequent co-existing mutations were ASXL1 (n=47; 37%) and SRSF2 (n=4; 3%), with ASXL1 seen more frequently in PMF (39% vs 11% post-ET MF; P=0.07). Over a median follow-up of 6 years (range 0-25 years), a total of 20 (12%) leukemic transformations and 66 (41%) deaths were recorded, with no significant differences between the PMF and post-ET MF cohorts (P=0.16 and 0.11, respectively). Kaplan-Meier survival estimates revealed comparably favorable median OS in both CALR type 1/like-mutated variants: not yet reached and 13 years in post-ET MF vs PMF, respectively (P=0.7) (Figure 1A). Multivariable analysis disclosed moderate to severe sex-adjusted anemia (P<0.001), ≥2% circulating blasts (P<0.001), very high risk (VHR) karyotype (P<0.001), age >70 years (P=0.006), and constitutional symptoms (P=0.008) to be independent predictors of inferior OS in CALR type 1/like-mutated PMF (Table 2). LFS was significantly shortened in the presence of IDH1 mutations (P=0.01) and platelets <100 x 109/l (P=0.02) while IDH2 mutations (P=0.02), leukocytosis ≥11 x 109/l (P=0.03) and history of arterial thrombosis (P=0.04) were independent predictors of shortened TFS. Importantly, myelofibrosis variant (primary vs post-ET) did not influence survival (P=0.7) or complication rates (P=0.8 for LFS, P=0.09 for TFS) (Table 2). The karyotype- and mutation-enhanced international prognostic scoring system (MIPSS70+ version 2.0), was effective in risk stratifying type 1/like CALR-mutated PMF (P-values 0.01 to <0.0001), with the exception of low vs intermediate (P=0.22) and intermediate vs high risk (P=0.49) (Figure 1C). The detrimental influences of unfavorable/VHR karyotype and ASXL1 mutations were confirmed (Figure 2A-B) while borderline adverse and prognostically neutral effects were seen on OS for U2AF1 (n=116; P=0.05) and SRSF2 (n=120; P=0.98) respectively (Figure 2C-D). Conclusions: The current study documents analogous disease patterns in primary and post-ET CALR type 1/like-mutated MF and provides information on determinants of long-term survival. Disclosures No relevant conflicts of interest to declare.
Clinical Correlates, Prognostic Impact and Survival Outcomes in Chronic Myelomonocytic Leukemia Patients with Myeloproliferative Neoplasm Associated-Driver Mutations
Pophali, Prateek , Finke, Christy M. , Gangat, Naseema , Begna, Kebede H. , Mangaonkar, Abhishek A. , Pardanani, Animesh , Tefferi, Ayalew , Patnaik, Mrinal M. , Lasho, Terra L. , Horna, Pedro , Ketterling, Rhett P.

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 3100-3100

10.1182/blood-2018-99-117335 Get It

Abstract Background : Chronic myelomonocytic leukemia (CMML), a myeloid neoplasm with overlapping features of myelodysplastic syndromes and myeloproliferative neoplasms (MPN), is characterized by peripheral blood (PB) monocytosis and a risk for leukemic transformation (LT). Gene mutations commonly seen in CMML include, TET2 (~60%), SRSF2 (~50%) and ASXL1 (~40%). MPN associated-driver mutations such as JAK2V617F (~10%), MPL (<1%) and CALR (<1%) are uncommon, and in fact, the 2016 World Health Organization (WHO) guidelines state that the presence of these mutations tends to support a diagnosis of MPN with monocytosis. We carried out this study to assess the i) clinical correlates and ii) survival outcomes of MPN associated-driver mutations in CMML. Methods : 323 molecularly annotated patients with WHO-defined CMML were included in the study. All patients had bone marrow (BM) biopsies and cytogenetics performed at diagnosis. Targeted capture assays were carried out on BM DNA specimens obtained at diagnosis for 30 myeloid relevant genes, by previously described methods. Results: Among the 323 study patients, 67% were males and median age was 71 years (range, 18-95). Twenty five (8%) patients had CMML with MPN associated-driver mutations; 24 (96%) with JAK2V617F and 1(4%) with a MPLW515L mutation. There were no patients with CALR or JAK2 exon 12 mutations. Additional signal-pathway mutations included NRAS (15%), KRAS (4%), CBL (14%), PTPN11 (3%), CSF3R (1%), and SH2B3 (<1%). i) Phenotypic correlates: The median age of CMML patients with MPN-associated driver mutations was 71 years and 66% were male. The WHO morphological subtypes included CMML-0 60%, CMML-1 24% and CMML-2 16%; while 91% of patients had a normal karyotype. The distribution of mutations included TET2 75%, SRSF2 54%, ASXL1 48%, RUNX1 20%, NRAS and EZH2 12% each, SETBP1 8%, SF3B1, U2AF1, CBL, PTPN11, FLT3-TKD, & Tp53 4% each, respectively. Risk stratification by the Mayo Molecular Model included high 16%, intermediate-2 32%, intermediate-1 36% and low risk 16%, respectively. In comparison to CMML patients without MPN associated-driver mutations, those with, had a higher hemoglobin (HB, p=0.001) and hematocrit (p=0.001), were more likely to have leukocytosis (p=0.02) and elevated LDH levels (p=0.0002), less likely to have thrombocytopenia (p=0.003), more likely to have a "proliferative" CMML phenotype (p=0.01) with palpable splenomegaly (p=0.0007), and more likely to have mutations involving TET2 (p=0.02). Six (2%) thrombotic events were documented in the cohort; 2 (8%) in patients with MPN-driver mutations and 4 (1%) in those without (p=0.07). There were no differences between the two groups with regards to the degree of monocytosis, PB and BM blasts, BM cellularity, BM megakaryocytic atypia, and BM fibrosis. ii) Survival outcomes: At last follow up 219 (68%) deaths and 55 (17%) LT were documented, of which 14 (56%) deaths and 2 (8%) LT occurred in the MPN-driver mutation group. The median OS for the entire cohort was 28 months (22-32); 31 months for CMML patients with MPN associated-driver mutations and 24 months for those without (p=0.4). On a univariate analysis, survival was adversely impacted by low HB (p<0.0001), high white blood count (p=0.0009) and absolute monocyte count (p=0.0004), circulating immature myeloid cells (p=0.02) and blasts (p=0.005), BM blasts (p=0.02), palpable splenomegaly (p=0.03), abnormal karyotype (p=0.001), presence of DNMT3A (p=0.006), ASXL1 (p=0.009), EZH2 (p=0.03) and Tp53 (p=0.02) mutations and the absence of TET2 (p=0.0009) mutations. Survival was not affected by the presence of JAK2V617F (p=0.4) or MPL (p=0.46) mutations. On a multivariable analysis that included the aforementioned significant variables, only HB <10 gm/dl (p=0.0016), presence of PB blasts (p=0.01), presence of DNMT3A (p=0.003) and the absence of TET2 mutations (p=0.02) retained significance. The presence of MPN associated-driver mutations did not impact LFS (p=0.36). Conclusions: The occurrence of MPN associated-driver mutations in CMML is infrequent (~8%) and is largely restricted to JAK2V617F. CMML patients with MPN-associated driver mutations have a higher HB/hematocrit, are more likely to have proliferative features and palpable splenomegaly, and are less likely to be thrombocytopenic. There was a trend towards an increased thrombotic risk, with no impact of these mutations on overall and leukemia free survival. Disclosures No relevant conflicts of interest to declare.
Marrow Blast Percentage Impact on High-Grade Myelodysplastic Syndrome By the Revised International Prognostic Scoring System
Alkharabsheh, Omar , Patnaik, Mrinal M. , Gangat, Naseema , Begna, Kebede H. , He, Rong , Nguyen, Phuong L., Litzow, Mark R. , Al‐Kali, Aref , Alkhateeb, Hassan B. , Shah, Meera , Hogan, William J. , Greipp, Patricia T.

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 5510-5510

10.1182/blood-2018-99-113943 Get It

Abstract Introduction: The revised international prognostic scoring system (IPSS-R) for myelodysplastic syndrome (MDS) is widely accepted and has been validated in multiple studies. Patients with adverse cytogenetics do poorly and that is reflected in this scoring system by having the highest score for cytogenetics; 2 for intermediate, 3 for poor and 4 for very poor. Little is known about the effect of marrow blasts in adverse cytogenetic in the high-grade MDS defined by IPSS-R intermediate (>3), high (>4.5) and very high (>5). The goal is to examine the effect of marrow blast percentage on outcome in patients with adverse cytogenetics that is present in the high-grade MDS. Methods: We performed data collection from the Mayo clinic records for patients with confirmed MDS after obtaining appropriate IRB approval. Patients were divided based on their total IPSS-R score and we extracted high-grade MDS cases with intermediate, high and very-high IPSS-R only. Cytogenetics and baseline CBC were available for analysis. We calculated the survival difference in patients with blasts <5% and patient with blasts of 5% to 19% for every group. Survival estimates were calculated by Kaplan-Meier method and compared by log-rank testing using JMP v.13. Results: Our database had 1300 patients with confirmed MDS, 41% (N=536) are high-grade MDS. From those, the median age was 70 and 70% were males. Median bone marrow blast was 6% (0-19). Baseline hemoglobin is 9.2 g/dL, WBC 2.7, ANC 1.05, and platelets 69. Their cytogenetics were 1% very good, 31% good, 23% intermediate, 16% poor and 29% very poor. The total IPSS-R groups were 39%,31%, and 30% for the intermediate, high, and very-high groups respectively. The overall survival (OS) for the high-grade MDS with marrow blast <5% was 12.3 months and for patients with marrow blasts ≥5% 11.4 months (P=.4). At each high-grade MDS; intermediate, high and very high, there were no statistically significant differences for patients with marrow blasts below or above 5%. In term of risk of progression to AML, patients with blasts ≥5% were at higher risk of progression compared with <5% (25% vs 10% , P<.001), with no statistically significant difference in term of time-to-AML progression. Conclusion: The percentages of bone marrow blasts had no impact on overall survival among patients with high grade MDS. However, patients with ≥5% marrow blasts are at a higher risk for progression to AML. Disclosures Al-Kali: Novartis: Research Funding.
Risk Factors for Leukemic Transformation Among 1,306 Patients with Primary Myelofibrosis: Mutations Predict Early Events
Vallapureddy, Rangit, Mudireddy, Mythri , Nicolosi, Maura , Finke, Christy M. , Hanson, Curtis A. , Begna, Kebede H. , Gangat, Naseema , Pardanani, Animesh , Tefferi, Ayalew , Szuber, Natasha , Penna, Domenico , Lasho, Terra L. , Ketterling, Rhett P.

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 3044-3044

10.1182/blood-2018-99-109895 Get It

Abstract Background: Current prognostic models in primary myelofibrosis (PMF) target overall survival (OS) and utilize MIPSS70 (mutation-enhanced international prognostic scoring system for transplant-age patients), MIPSS70+ version 2.0 (karyotype-enhanced MIPSS70) and GIPSS (genetically-inspired prognostic scoring system, which is based on mutations and karyotype) (JCO 2018;36:310; JCO doi: 10.1200/JCO.2018.78.9867; Leukemia. 2018;doi:10.1038/s41375-018-0107). In the current study, we used logistic regression statistics to identify risk factors for leukemic transformation (LT) within 5 years of diagnosis/referral (i.e. early events) and also performed Cox regression analysis of overall leukemia-free survival (LFS). Methods : Study patients were recruited from the Mayo Clinic, Rochester, MN, USA. Diagnoses of LT and chronic phase PMF were confirmed by both clinical and bone marrow examinations, in line with the 2016 World Health Organization criteria (Blood. 2016;127:2391); specifically, LT required presence of ≥20% blasts in the peripheral blood (PB) or bone marrow (BM) (Blood 2016;127:2391). Statistical analyses considered clinical and laboratory data collected at the time of initial PMF diagnosis or Mayo Clinic referral point. Logistic regression statistics was used to identify predictors of LT at 5 years from initial diagnosis/referral; in the particular method, patients with documented LT within 5 years were "uncensored" while those followed up for at least 5 years, without developing LT, were "censored"; the analysis excluded patients without LT and not followed for at least 5 years. In addition, Cox regression analysis was performed to identify risk factors for overall LFS. The JMP® Pro 13.0.0 software from SAS Institute, Cary, NC, USA, was used for all calculations. Results: 1,306 patients with PMF (median age 65 years; 63% males) were included in the current study; MIPSS70+ version 2.0 risk distribution was 20% very high risk, 41% high risk, 19% intermediate risk, 16% low risk and 4% very low risk. 149 (11%) patients were documented to experience LT, and compared to the remaining patients (n=1157), they were more likely to be males (p=0.02) and mutated for ASXL1 (p=0.01), SRSF2 (0.001) and IDH1 (0.02) and present with higher risk MIPSS70+ version 2.0 (p=0.02). Multivariable logistic regression identified the following as predictors of LT in the first 5 years of disease: IDH1 mutation (odds ratio; OR 78.4), very high risk (VHR) karyotype (OR 57.6), ASXL1 mutation (OR 15.1), age >70 years (OR 13.3), SRSF2 mutation (OR 8.5), male sex (OR 6.9), PB blasts ≥3% (OR 5.4), presence of moderate or severe anemia, adjusted for sex (OR 3.6) and constitutional symptoms (OR 3.1). On Cox regression analysis, the following were associated with inferior LFS: IDH1 mutation (HR 4.3), PB blasts ≥3% (HR 3.3), SRSF2 mutation (HR 3.0), age >70 years (HR 2.1), ASXL1 mutation (HR 2.0) and presence of moderate or severe anemia, adjusted for sex (HR 1.9). Subsequently, HR-based risk point allocation resulted in highly discriminating LT predictive model with HR (95% CI) of 39.4 (10.8-114) for high risk and 4.1 (2.4-7.3) for intermediate risk (Figure 1). Conclusions: The current study identifies IDH1 mutation as a main predictor of LT in PMF. Our study also implicates SRSF2 and ASXL1 mutations and VHR karyotype as other genetic markers of early LT. Other independent contributors of early LT and inferior LFS, overall, included PB blasts ≥3%, moderate to severe anemia and older age. We provide LT prediction model, based on these variables, with leukemia risk ranging from 8% to 57%. Disclosures No relevant conflicts of interest to declare.
A Phase II of Combination Daunorubicin and Cytarabine (Ara-C) and Nilotinib (TASIGNA) (DATA) in Patients Newly Diagnosed with Acute Myeloid Leukemia and KIT Expression: Final Results
Al‐Kali, Aref , Palmer, Jeanne , Patnaik, Mrinal M. , Begna, Kebede H. , Gangat, Naseema , Atherton, Pamela J. , Liu, Shujun , He, Rong , Hashmi, Shahrukh K. , Litzow, Mark R. , Tibes, Raoul , Alkhateeb, Hassan B.

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 1443-1443

10.1182/blood-2018-99-118552 Get It

Abstract Background: Acute myeloid leukemia (AML) is an aggressive blood cancer with a wide range of response and relapse rates using standard chemotherapy combining anthracycline plus cytarabine (7+3). The stem cell receptor tyrosine kinase KIT is expressed on more than 10% of blasts in 95% of relapsed AML cases and mediates leukemic proliferation and has anti-apoptotic effects (Domen and Weissman 2000). AML with high KIT expression is associated with poorer outcome (Del Poeta, Venditti et al 2003). Goals: To study the efficacy and safety of combination 7+3 and nilotinib in patients (pts) with AML and KIT expression. Primary goal is to determine the complete response (CR) rate; while secondary goals include 2-year overall survival (OS) and disease free survival (DFS) in addition to safety. Methods: A single arm, Phase II study, enrolled pts at Mayo Clinic (MN and AZ). Appropriate IRB was obtained and study was registered (NCT 01806571). Pts were enrolled if they were newly diagnosed with AML with KIT (CD117) expression of ≥ 20% on myeloblasts by flow cytometry. KIT mutations were allowed. Nilotinib 300 mg twice daily was given on days 4-14 of induction and consolidation; and continuous daily maintenance therapy for up to 2 years. Cytarabine 100 mg/m2/day continuous IV x7 days plus daunorubicin 60 mg/m2 IV daily x3 days were used for induction, while consolidation used standard cytarabine 3 gm/m2 twice daily days 1, 3, 5 for a total of 4 cycles. This is a Simon 1-stage design with a safety analysis after enrolling 12 pts, and an interim analysis after enrolling 18 out of 43 pts (Al-Kali, ASH 2015) recommended to continue study accrual. Results: i)- Demographics: Thirty four pts were enrolled from July 2013 to June 2017. Median age was 59 years (range 24-69) with 71% being male. Median laboratory findings include hemoglobin of 8.8 gm/dL, platelets of 56 x109/L, white blood count of 3.3 x109/L (0.4-125), and peripheral blood blasts 17 %(0-94%). Cytogenetics were normal in 43% of the pts and favorable cytogenetics were seen in 6%(inv 16). FLT3 gene testing was done on 26 pts and was positive in 13%. KIT gene sequencing (exon 8, 9, 10, 11, 17) revealed pathogenic mutation in 1/28 cases (4%). ii)- Clinical outcome Out of all 34 pts enrolled on the study, 18 (53%) achieved CR (or CR with incomplete platelet recovery) with a median CR duration of 21.8 months. Of 26 evaluable pts, the overall CR rate was 69%. 4 of the 18 pts (22%) who achieved remission needed a second induction. One pt died due to liver failure (had only one dose of nilotinib and toxicity was attributed to daunorubicin). 13 (38%) pts proceeded to allogeneic stem cell transplant (HSCT), 12 of whom are alive and none were able to initiate nilotinib maintenance. Only 6 (1 had HSCT) out of 34 (18%) pts relapsed after achieving CR. Median DFS was 45.8 months, while median OS was 42.4 months. 2-year DFS and OS were 58% and 72%, respectively. iii)- Safety Thirty four pts were evaluated for adverse events (AE). Fourteen pts had G4 non-hematological AEs, including fourteen G4 AEs related to infection, 2 with electrolyte imbalances, 1 heart failure, 1 elevated bilirubin, 1 elevated lipase, and 1 jejunal hemorrhage. One patient had G5 liver failure. Most common (>20%) G3 non-hematological AEs were febrile neutropenia (56%), hypophosphatemia (21%), elevated ALT (21%) and hypertension (21%). Conclusion: Combination daunorubicin and cytarabine with nilotinib (DATA) appears to be safe and effective. Final results show an acceptable safety profile with most common AE being infection. Thirty day mortality was low (3%). DATA regimen has comparable CR rates of 53% (intent to treat) and 69% in evaluable pts. Relapse rates were very low at 18% with durable responses and encouraging survival rates. Figure. Figure. Disclosures Al-Kali: Novartis: Research Funding. Tibes:Novartis: Research Funding. Palmer:Novartis: Research Funding.
Familial Myeloid Neoplasms: Clinical Spectrum and Associated Abnormalities
Kochuparambil, Samith T. , Jackson, Amie E., Gangat, Naseema , Litzow, Mark R. , Khan, Shakila P. , Rodriguez, Vilmarie , Patnaik, Mrinal M. , Hogan, William J. , Dingli, David

Blood | October 14, 2019 | Volume: 122 | Issue: 21 | Pages: 2794-2794

10.1182/blood.v122.21.2794.2794 Get It

Abstract Background Familial myeloid neoplasms are rare causes of myeloid malignancies. Over the last few years germline mutations involving RUNX1, JAK2, GATA1, GATA2 and CEBPA genes have been associated with myelodysplastic syndromes (MDS), myeloproliferative neoplasms (MPN) and acute myeloid leukemia (AML). We carried out this study to describe the spectrum of familial myeloid neoplasms seen at our institution. Methods After due IRB approval, the myeloid neoplasms data base (1990-2012) at the Mayo Clinic in Minnesota was queried for patients presenting with, or having a strong family history of myeloid neoplasms. Selective sequencing of germline DNA was done in appropriate patients. Germline mutations that were screened for included; RUNX1, JAK2, GATA1, GATA2 and CEBPA. In one family with none of the aforementioned gene mutations, exome sequencing was performed. Families with chromosomal breakage and primary telomere disorders were excluded. All patients had bone marrow and cytogenetic studies at diagnosis. Results We identified six families with familial myeloid neoplasms (table one). There were two with germline GATA2 mutations (no.1 and 2); one with a novel c1339A>C, pS447R, non-zinc finger gene abnormality. In this family nine members have developed MDS/AML. All members had profound B/NK cell deficiency, viral warts and one member had primary lymphedema (Embergers syndrome). Three of the 6 seen at the clinic have successfully undergone allo- SCT. The second GATA2 mutated family had a less extensive history of myeloid neoplasms. There was one patient (no.5) who presented with long standing thrombocytopenia, clinically diagnosed as ITP. She eventually developed MDS with trisomy 8. She had three first degree relatives with myeloid neoplasms. Germline sequencing identified a RUNX1 mutation. Platelet electron microscopy identified characteristic ultrastructural changes. There was one family (no.4) with a germline JAK2V617F mutation. The propositus was diagnosed to have primary myelofibrosis and then demonstrated clonal evolution to a concomitant BCR-ABL1 p190 driven chronic myeloid leukemia. His sister and mother have essential thrombocytosis (ET) and his brother has a detectable JAK2 mutation (no evidence for disease). The patient has successfully undergone an allo-SCT. The patient with a GATA1 mutation (no.3) presented with congenital anemia and had craniofacial anomaly, atrial septal defect and developmental delays. Red cell and platelet ultrastructural abnormalities lead to the diagnosis with an additional family member having chronic anemia and suspected MDS. One family (no.6) presented with seven first degree relatives affected by MDS/AML. Germline sequencing for the aforementioned genes was negative. Exome sequencing has been performed and results should be available at the time of the meeting. The prepositus has successfully undergone allo-SCT. Conclusion Familial myeloid neoplasms are uncommon but warrant early recognition. Clues to diagnosis include strong family history, associated primary immunodeficiency states, morphological/skeletal abnormalities and platelet ultrastructural defects (RUNX1, GATA2, and GATA1). Exome and whole genome sequencing is an exciting prospect for further discoveries. Disclosures: No relevant conflicts of interest to declare.
1,123 Consecutive Adults with Non-APL Acute Myeloid Leukemia: The Mayo Clinic Experience
Begna, Kebede H. , Ali, Walid , Gangat, Naseema , Elliott, Michelle A. , Al‐Kali, Aref , Litzow, Mark R. , Hook, C. Christopher , Wolanskyj, Alexandra P., Patnaik, Mrinal M. , Pardanani, Animesh , Zblewski, Darci, He, Rong , Viswanatha, David S., Hanson, Curtis A. , Tefferi, Ayalew , Hogan, William J. , Chen, Dong , Ketterling, Rhett P.

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 2689-2689

10.1182/blood-2018-99-110811 Get It

Abstract Background : Pre-treatment determinants of survival in adult acute myeloid leukemia (AML) include performance status, age, karyotype, the distinction between primary and non-primary AML and FLT3-ITD/NPM1 mutational status. Current literature on AML natural history and risk factors is often based on information derived from stringent protocol studies. In the current series of 1,123 adult patients seen at the Mayo Clinic between 2004 and 2017, we examined long-term survival specified by a number of primarily established risk factors. Methods: Diagnosis of AML and its sub-classification was according to World Health Organization criteria. Study subjects were recruited from the Mayo Clinic AML database. Conventional response criteria were used for CR and CRi assignment; the latter met all criteria for CR with the exception of platelet count <100 x 109/l or absolute neutrophil cunt <1 x 109/l. Standard statistical methods were used for analysis of overall survival, calculated from the initial diagnosis of AML to date of death or last follow-up; analyses were performed both in the absence and in the presence of censoring of survival at time of allogenic stem cell transplant (ASCT). The JMP® Pro 13.0.0 software from SAS Institute, Cary, NC, USA, was used for all calculations. Results: 1,123 adult patients (median age 65 years, range 18-94; 61% males) with non-APL AML were considered; 61% were age >60 years. 351 (31%) patients were seen between 2004 and 2009 and 772 (69%) between 2010 and 2017. AML subcategories were primary (56%), post-myelodysplastic syndromes (post-MDS; 24%), therapy-related (10%), post-myeloproliferative neoplasm (post-MPN; 8%) and post-MDS/MPN (3%). Cytogenetic risk distribution, according to the European LeukemiaNet classification, was favorable in 47 (4%), intermediate in 650 (58%) and adverse risk in 426 (38%) patients. FLT3, NPM1 and CEBPA mutation information was available in 462 (24% mutated), 393 (27% mutated) and 228 (11% mutated) patients, respectively. Treatment included intensive chemotherapy (IC) in 766 (68%) patients, less aggressive chemotherapy, including the use of hypomethylating agents in 144 (13%) and supportive care alone in 213 (19%) patients. ASCT was utilized in 258 (23%) cases, almost all performed after achieving CR/CRi. Complete remission (CR) and CR with incomplete count recovery (CRi) were listed in 333 (30%) and 248 (22%) patients, respectively; the corresponding rates in IC-treated patients were 43% and 32%. Almost all cases of CR/CRi occurred in IC-treated patients; 2 (1.4%) CRs were listed for less aggressive chemotherapy. After a median follow-up of 11 months, 798 (71%) deaths were recorded. Median survival for all 1,123 patients was 14 months with 1-, 3- and 5-year survival rates of 54%, 29% and 23%, respectively; a slight but significant (p=0.01) improvement in survival was apparent in more recent years (Figure 1a). Figures 1b, 1c and 1d depict analysis stratified by AML subcategories, treatment received and response obtained, respectively. Similarly, figures 2a, 2b and 2c depict analysis stratified by karyotype, use of ASCT and age. Multivariable analysis of pre-treatment parameters evaluable in all 1,123 patients identified age >60 years (HR 2.2, 1.9-2.6), adverse karyotype (HR 2.9, 1.9-4.9), intermediate-risk karyotype (HR 1.6, 1.02-2.6), post-MPN AML (HR 1.9, 1.5-2.4) and other secondary AML (HR 1.3 (1.1-1.6), as risk factors for shortened survival; the inclusion in the model of FLT3/NPM1 mutational status in 392 informative cases confirmed the adverse prognostic effect of age >60 years (HR 1.8, 1.4-2.5), adverse karyotype (HR 3.7, 1.4-15.3), post-MPN AML (HR 2.8, 1.6-4.6), other secondary AML (HR 1.4, 1.0-1.9) and FLT3+NPM1- (HR 2.8, 1.6-4.9) and FLT3-NPM1- (HR 1.7, 1.2-2.7) profile. Results were unchanged when survival was censored at time of ASCT. Additional prognostic interaction with treatment strategy and ASCT is further elaborated in an accompanying abstract to be presented. Conclusions: The current study, the largest coming from a single institution, provides practically useful information that should assist with patient consultation on AML prognosis and treatment. The study confirms the primary prognostic importance of age, karyotype and FLT3/NPM1 mutational status, in real-life practice. Novel observations included comparable value of CRi vs CR and the particularly worse prognosis associated with post-MPN AML. Disclosures Al-Kali: Novartis: Research Funding.
Mutations and Thrombosis in Essential Thrombocythemia and Polycythemia Vera: Mayo-Careggi Alliance Study
Gangat, Naseema , Finke, Christy M. , Sordi, Benedetta , Mudireddy, Mythri , Rotunno, Giada, Pacilli, Annalisa , Vallapureddy, Rangit, Hanson, Curtis A. , Pardanani, Animesh , Tefferi, Ayalew , Guglielmelli, Paola , Coltro, Giacomo , Lasho, Terra L. , Loscocco, Giuseppe Gaetano , Szuber, Natasha , Nicolosi, Maura , Penna, Domenico , Ketterling, Rhett P. , Vannucchi, Alessandro M.

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 3040-3040

10.1182/blood-2018-99-110045 Get It

Abstract Background : Thrombosis is a characteristic feature in essential thrombocythemia (ET) and polycythemia vera (PV). Previous studies had focused on thrombotic events occurring after diagnosis and did not always distinguish between arterial and venous thrombosis. Arterial thrombosis in ET has been associated with age >60 years, JAK2 mutations, leukocyte count >11 x 109/l, history of thrombosis and cardiovascular risk factors, and venous thrombosis with male sex (Blood 2011;117:5857). In the current two-enter study, we looked for associations between both driver and other mutations, with first incidences of arterial and venous thrombosis in ET and PV, analyzed together and separately. Methods : Study patients were recruited from the Mayo Clinic, Rochester, MN, USA and the University of Florence, Florence, Italy, based on availability of next-generation sequencing-derived mutation information. Diagnoses were according to the 2016 World Health Organization criteria (Blood. 2016;127:2391). Conventional statistics was employed to examine significance of associations, with separate analysis of arterial vs venous thrombosis, occurring at any time before or after formal diagnosis of ET or PV. For the purposes of the current study, only first events were considered. Results: 906 molecularly-annotated patients (416 from Mayo and 490 from Florence), including 502 ET and 404 PV cases, were included in the current study. The Mayo/Florence cohorts included 270/232 ET (median age 57/54 years, 60%/59% females) and 146/258 PV (median age 63/58 years, 52%/44% females) patients; median follow-up was 9.9/12.9 years for ET and 10.7/12.4 years for PV. Driver mutation distribution in ET was 55% JAK2, 27% CALR, 5% MPL and 13% triple-negative. Most frequent mutations, other than JAK2/CALR/MPL, were TET2 (14%; 11% in ET and 18% in PV) and ASXL1 (13%; 13% in ET and 13% in PV). 301 (33%) patients experienced first time thrombosis, before or after diagnosis, including 152 (30%) in ET and 149 (37%) in PV (p=0.03); arterial events occurred in 174 (19%) patients, including 96 (19%) in ET and 78 (19%) in PV (p=0.9); venous events occurred in 177 (20%) patients, including 82 (16%) in ET and 95 (24%) in PV (p=0.007). The number of vascular events after diagnosis was 174 (19%) for arterial and 154 (17%) for venous thrombosis, with no significant difference between ET and PV. Associations with arterial thrombosis: In multivariable logistic regression analysis that included both ET and PV (n=906), age >60 years (23% vs 16%; OR, 1.6, 95% CI 1.1-2.2) and absence of ASXL1 and RUNX1 mutations (21% vs 9%; OR 2.6, 95% CI 1.4-4.8) were associated with arterial thrombosis; these associations remained significant (or near significant) when ET and PV were analyzed separately; in addition, JAK2 mutations in ET displayed borderline significance (p=0.05). Overall incidence of arterial events in ET was estimated at 27% in the presence of all three risk factors (i.e. older age, presence of JAK2 mutations and absence of ASXL1/RUNX1 mutations), 21% with two risk factors, 13% with one risk factor and 9% in the absence of all three risk factors (p=0.01). Associations with venous thrombosis: In multivariable analysis, including both ET and PV (n=906), JAK2 mutations (p<0.001), higher leukocyte count (p=0.03) and younger age (p=0.04) were identified as being significant. Analysis of ET patients only (n=502) identified JAK2 mutations (p<0.001; OR 2.4, 95% CI 1.4-4.1), absence of SRSF2 mutations (p=0.03) and younger age (p=0.04) as independent risk factors and in PV patients (n=404), higher leukocyte count (p=0.06). Prognostic interaction between JAK2 mutations and age: In ET, the overall frequency of venous events was 27% for young patients with JAK2 mutations vs 13% for older JAK2 mutated cases vs 10% for JAK2 unmutated young patients vs 13% for JAK2 unmutated older patients (p<0.001). The corresponding percentages for arterial events were 20%, 24%, 14% and 19%, respectively (p=0.1). Conclusions: JAK2 mutations contribute to the risk of both venous (younger patients) and arterial (young and older patients) thrombosis, in an age-dependent manner; the association with venous thrombosis might explain the higher incidence of venous thrombosis in PV, compared to ET. Additional studies are required to confirm the observed lower risk of thrombosis in patients with ASXL1, RUNX1 and SRSF2 mutations and provide insight into the underlying biological explanation. Disclosures No relevant conflicts of interest to declare.
3,023 Mayo Clinic Patients with Myeloproliferative Neoplasms: Risk-Stratified Comparison of Survival and Outcomes Data Among Disease Subgroups
Mudireddy, Mythri , Nicolosi, Maura , Vallapureddy, Rangit, Finke, Christy M. , Begna, Kebede H. , Elliott, Michelle A. , Hook, C. Christopher , Wolanskyj, Alexandra P., Patnaik, Mrinal M. , Hanson, Curtis A. , Sirhan, Shireen , Pardanani, Animesh , Gangat, Naseema , Busque, Lambert , Tefferi, Ayalew , Szuber, Natasha , Penna, Domenico , Lasho, Terra L. , Ketterling, Rhett P.

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 3035-3035

10.1182/blood-2018-99-109740 Get It

Abstract Background: While several population-based studies have reported on adverse outcomes and life expectancy in myeloproliferative neoplasms (MPN) (JCO. 2015;33:2288; AJH. 1999;61:10; Leukemia. 2013;27:1874; JCO. 2012;30:2995), large-scale studies reporting mature data have been rare and important questions remain unanswered. The current study documents the Mayo Clinic (MC) decades-long experience with over 3,000 consecutive MPN patients including polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF) with the majority of patients followed until death. Herein, we provide mature, and importantly, risk-stratified survival data and disease complication estimates. Methods: Study patients were recruited from MC, Rochester, MN, USA between 10/27/1967 and 12/29/2017. All MPN diagnoses and documentation of fibrotic/leukemic transformations were in accordance with the 2016 World Health Organization criteria (Blood. 2016;127:2391). Clinical and laboratory data were abstracted from medical records. Risk-stratification used conventional risk models considering age, leukocytes, and venous thrombosis for PV (Leukemia. 2013;27:1874), international prognostic score for ET (Blood. 2012;120:1197), and dynamic international prognostic scoring system for PMF (Blood. 2010;115:1703). Statistical analyses were based on parameters obtained at the time of referral to MC which, in the majority of cases, coincided with or was within 1 year of diagnosis. All patients were followed from diagnosis until death or date of last follow-up/contact. Recipients of allogeneic stem cell transplants were censored at the time of transplant. Standard statistical methods and time-to-event curves prepared using the Kaplan-Meier method were used to compare MPN subgroups. Survival data for low-risk ET/PV were compared with age- and sex-matched controls from Olmstead County, MN, USA. JMP® Pro 13.0.0 software (SAS Institute, Cary, NC, USA) was used for all analyses. Results: 3,023 consecutive patients (median age 62 years, range 18-96; 51% males) were considered, including 89% diagnosed within the year: 665 PV, 1076 ET and 1282 PMF. Conventional risk stratification in 2925 evaluable patients revealed low, intermediate, and high-risk status in 26%, 29%, and 45% of PV and 30%, 42%, and 28% of ET patients, respectively, while PMF cases were attributed low (14%), intermediate-1 (38%) -2 (40%) and high (8%) risk (Table 1). After a median follow-up of 8.2 years for PV (range 0-39), 9.9 for ET (range 0-47), and 3.2 for PMF (range 0-31), 1631 (54%) deaths, 183 (6%) leukemic transformations, 244 (14%) fibrotic progressions, and 516 (17%) thrombotic events were recorded (Table 1). Median overall survival (OS) was 18 years for ET, 15 for PV and 4.4 for PMF (p<0.05 for all inter-group comparisons) (Figure 1A). Leukemia-free survival was similar for ET and PV (p=0.22) and significantly worse for PMF (p<0.001) (Figure 1B). PV, compared to ET, was associated with higher risk of fibrotic progression (p<0.001) (Figure 1C). Thrombosis risk after diagnosis was highest in PV and lowest in PMF (p=0.002 for PV vs ET; 0.56 for ET vs PMF; and 0.001 for PV vs PMF) (Figure 1D). Following risk stratification, median OS in low-risk ET (28 years) and low-risk PV (27 years) were superimposed (p=0.89) (Figure 2). Similarly, intermediate or high-risk PV and ET patients had comparable OS within each risk strata (p=0.23 and 0.11, respectively). Low-risk PMF survival was analogous to that of intermediate-risk PV (p=0.06). All other risk-stratified categories disclosed significantly different inter- and intra-group survival patterns (p<0.001) (Figure 2). Despite their categorization as favorable-risk disease, both low-risk ET and low-risk PV displayed excess mortality relative to age- and sex-matched controls with median survival of 26.7 and 28.1 years respectively, compared to the expected 37.5 and 39.2 years (p<0.001) (Figure 3). Conclusions: The current study provides large-scale and uniquely mature survival and outcomes data in MPN and highlights MPN subgroup risk categorization as cardinal in appraising disease natural history. Interestingly, OS was only marginally better in ET, compared to PV, while the latter clearly displayed a higher risk of thrombosis and fibrotic progression. Moreover, data disclosed shortened life expectancy relative to matched controls even in MPN with favorable risk attribution. Disclosures Busque: BMS: Consultancy; Novartis: Consultancy; Pfizer: Consultancy; Paladin: Consultancy.
Predictors of Greater Than 80% Two-Year Mortality in Primary Myelofibrosis: A Mayo Clinic Study of 884 Karyotypically-Annotated Cases
Tefferi, Ayalew , Gangat, Naseema , Vaidya, Rakhee , Begna, Kebede H. , Hanson, Curtis A. , Dyke, Daniel L. Van , Pardanani, Animesh , Caramazza, Domenica

Blood | October 14, 2019 | Volume: 118 | Issue: 21 | Pages: 2806-2806

10.1182/blood.v118.21.2806.2806 Get It

Abstract Abstract 2806 Background: A high degree of prognostic certainty is required to recommend or discourage high risk treatment procedures in primary myelofibrosis (PMF). The Dynamic International Prognostic Scoring System (DIPSS-plus) uses eight risk factors to predict overall survival (OS) in PMF: unfavorable karyotype, peripheral blood (PB) blast count ≥1%, platelet count <100 × 109/L, white blood cell count (WBC) >25 × 109/L, hemoglobin level <10 g/dL, red blood cell transfusion need, constitutional symptoms, and age >65 years (Gangat et al. JCO 2011;29 :392). The presence of four or more of these risk factors defines high-risk disease. purpose: The purpose of the current study was to enhance the prognostic weight of some of the DIPSS-plus risk factors with the intent to identify one or two parameters that can reliably predict death in the first two years of disease. Methods: An updated Mayo Clinic database of 884 karyotypically-annotated patients with PMF was used. Calculations of 2-year mortality rates and variables considered for prognostic value were from time of referral to the Mayo Clinic. Cytogenetic risk categorization per DIPSS-plus was further refined to capture additional prognostic information from monosomal karyotype (MK) (Vaidya et al. Blood 2011;117 :5612) and inv(3)/i(17q) abnormalities (Caramazza et al. Leukemia 2011;25 :82). Receiver operating characteristic (ROC) analysis was employed to define best discriminant levels. Results: To date, 564 (64%) deaths have been documented. Each one of the aforementioned DIPSS-plus risk factors was associated with a 2-year mortality rate that ranged from 42% (PB blast count ≥1%) to 60% (unfavorable karyotype). High-risk disease per DIPSS-plus was associated with 57% two-year mortality. The only risk factors that were associated with >80% two-year mortality were MK (n =19) and inv(3)/i(17q) abnormalities (n =8) and both were associated with significantly worse survival, compared to other unfavorable karyotype (n =102): HR (95% CI) of 5.1 (3.1−8.4) and 3.9 (1.7−8.8), respectively. ROC analysis identified PB blast counts of 2% and 9% (AUC 0.62) and WBC of 43 × 109/L (AUC 0.66) as best discriminant levels for predicting 2-year mortality; OS was significantly worse in the presence of PB blast >9% (HR 4.1, 95% CI 2.8–6.1) vs. 2% to 9% (HR 1.8, 95% CI 1.5–2.2) vs. <2%; the corresponding 2-year mortality rates were 73%, 46% and 25%. OS was also significantly worse in the presence of WBC ≥40 × 109/L (HR 2.8, 95% CI 2.2–3.6) vs. 26–39 × 109/L (HR 1.6, 95% CI, 1.2–2.1) vs. <26 × 109/L; the corresponding 2-year mortality rates were 63%, 42% and 28%. Two-year mortality rates exceeded 80% in the presence of any two of the following: PB blast count >9%, WBC ≥40 × 109/L or unfavorable karyotype other than MK or inv(3)/i(17q). Conclusions: A greater than 80% 2-year mortality in PMF is predicted by the presence of MK, inv(3)/i(17q) abnormalities, or any two of the following: PB blast >9%, WBC ≥40 × 109/L, other unfavorable karyotype. Such patients and those with high DIPSS-plus risk should be referred to allogenic stem cell transplantation earlier than later. Disclosures: No relevant conflicts of interest to declare.