Published Ahead of Print on September 29, 2017, as doi: /haematol Copyright 2017 Ferrata Storti Foundation.

Size: px
Start display at page:

Download "Published Ahead of Print on September 29, 2017, as doi: /haematol Copyright 2017 Ferrata Storti Foundation."

Transcription

1 Published Ahead of Print on September 29, 2017, as doi: /haematol Copyright 2017 Ferrata Storti Foundation. Mixed phenotype acute leukemia: Outcomes with allogeneic stem cell transplantation, a retrospective study from the Acute Leukemia Working Party of the EBMT by Reinhold Munker, Myriam Labopin, Jordi Esteve, Christoph Schmid, Mohamad Mohty, and Arnon Nagler Haematologica 2017 [Epub ahead of print] Citation: Munker R, Labopin M, Esteve J, Schmid C, Mohty M, and Nagler A. Mixed phenotype acute leukemia: Outcomes with allogeneic stem cell transplantation, a retrospective study from the Acute Leukemia Working Party of the EBMT. Haematologica. 2017; 102:xxx doi: /haematol Publisher's Disclaimer. E-publishing ahead of print is increasingly important for the rapid dissemination of science. Haematologica is, therefore, E-publishing PDF files of an early version of manuscripts that have completed a regular peer review and have been accepted for publication. E-publishing of this PDF file has been approved by the authors. After having E-published Ahead of Print, manuscripts will then undergo technical and English editing, typesetting, proof correction and be presented for the authors' final approval; the final version of the manuscript will then appear in print on a regular issue of the journal. All legal disclaimers that apply to the journal also pertain to this production process.

2 ARTICLE D K > t W Dd Z D d D > d : d ^ d D D d E d e d ^, D K d h E K h ^ d, ^ W & d, //W^, ^ d // D < < ' d, ^ D d, ^ / e >tw, ^ W D h W & Z D D d h ^, K ddddd E K >eddddh ^ W ddd eee dded edd ddd eddd & ddd eee ddde d

3 of page Abstract D d / dde dddd dddd > t W Dd d de d de ed de dl d dd d l de e dd e dd dl de d de d de dl dd e dd d de dl dd d ed d e dd dl d de dl dd e dd d / D K W Ddd D & dd de ddde K &> / Top of page D d D DW> d dl d e DW> / DW> e / deed ' / > '/> d e / ddde t, K t,k e d ddde t,k DW> W dl DW> dd d DW> / dd dde ^d d

4 e edl e dd, t,k / d >>,^d e dd ' DW> / dd ddl e dd / / D d Z /DdZ d > & ^ >&^ de mdd l K ^ K^ ee mdd l dd d,^d ldde dddd dddd > t W >tw ^ D d Dd D Data source and methods d >tw Dd m de DW>,^d / DW> dddd dddd DW> Dd D d Dd medd,^d ^ deed d dd e DW> d e t,k d t,k d '/> t,k,> Definitions dd d Z/ d/ ed' med /s me dd D d/ dd E Emd d l dd e > d W mddldd e > d Statistical analysis d K ^ K^ >&^ Z/ EZD 's, K^ d ^d >&^ d ^d Z EZD W K^ >&^ < D & ', 's de /& de Z/ EZD / 's, ^ edl edl/ h K^ >&^ ' /& D d de D d

5 d D> d >> DW> d de dd de dd de Z/ D d/ D ^ D W h D^ d de W md dd Z d d d Z D / D de dddd D / D / W Z Top of page Patients and disease characteristics W d d dde ^d d dee dd d DW> ^ d de d ddd dd e l de dl ddl W l & ded d/ ddd d/ dde d ed dl de dl, ded ee dl / e d dl E d el >/ dd dd de de >/ dd d d d K^ dd ddl Survival, LFS, relapse incidence, NRM, and GvHD d K^ de dl edl/dd d ed d >&^de dl dd e dd d d Z/ dd dl de e dd e EZD dd dl de d de d e dd dl // /s 's, d de dl dd e dd d 's, K^ >&^ d de dd de dd de & d & d Prognostic factors for outcome d d d >&^ Z/ EZD D EZD K^ E d

6 Ds & 's, 's, D d/ >&^ Z/ d >&^ K^ Z/ 's, EZD / d d EZD >&^ K^ D 's, Z/ >&^ K^ W l K^ D D d/ >&^ Z/ / d 's, ^ 's, Z/ EZD >&^ K^ d d d DW> d DW> / d ', 's, EZD Z/ >&^ K^ >&^ ', dd DW> Zd d d EZD Matched-pair analysis / dee DW> dded >> dee dddd D> K >> d DW> >> t DW> D> DW> EZD >&^ ^ ^ d d d Top of page DW> ^d t Dd DW> ^d K de dlk^ d de dl>&^ d Z/ ddl ^ Z W ^Z / ^Z dd ddl d dd e / d d ^d DW> / e de DW> / ddd DW> t,k dd /, DW> dd dd d

7 /DdZ ed dd d /DdZ K dd l /DdZ ddl ddl d /DdZ ^d DW> D> >> 's> ^d dd dd / 's> 's, t /DdZ DW> 's> 's, ', /DdZ d, d/ Z/ / DW> >> D> d ^d D> >> d Dd Zd /DdZ / Dd t,k DW> ddde d d/ / d d D d/ Z/ >&^ ^ d >> de de D d/ DW> d D Z/ D> de > DW> d dd EDdd de d ddd DW> dd tdd &>dd EZ^ :<d DW> dd / DW> In conclusion, consolidation with allohsct in CR1 provides a favorable disease control to adult patients with MPAL with a moderate relapse risk. This resembles the outcome e

8 observed in patients with ALL. The observation of a possible beneficial impact of TBI as part of the conditioning regimen deserves further investigation. / The authors expressed no conflict of interest d W ZD D> : ^ DD E Z Top of page 1 Freireich EJ, Wiernik PH, Steensma DP. The leukemias: a half century of discovery. J Clin Oncol. 2014;32(31): d / ' ZW, > Z deed e e ede ede 3 Weinberg OK, Arber DA. Mixed-phenotype acute leukemia: historical overview and a new definition. Leukemia. 2010;24(11): Steensma DP. Oddballs: Acute leukemias of mixed phenotype and ambiguous origin. Hematol Oncol Clin North Am. 2011;25(6): d z > W E D dde t,k ddde, dddd ee dd dede dedd e ^ Z D Z ^ > Z dddd de e ede ede 7 Wolach O, Stone RM. Mixed phenotype acute leukemia; current challenges in diagnosis and therapy. Curr Opin Hematol. 2017;24(2): Bene MC, Castoldi G, Knapp W, et al. Proposals for the immunologic characterization of acute leukemias. European Group for the Immunologic Characterization of Leukemias (EGIL). Leukemia. 1995;9(10): Borowitz MJ, Bene MC, Harris NL, et al. Acute leukaemias of ambiguous lineage. In Swerdlow SH, Campo E, Harris NL, Jaffe ES, Pileri SA, Stein H et al. eds. World Health Organization (WHO) Classification of Tumours of Haematopoietic and Lymphoid Tissues, 4th Ed. Lyon (France): International Agency for Research on Cancer (IARC Press; 2008; p ). 10 Arber DA, Orazi A, Hasserjian R, et al. The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood. 2016;127(20): Deffis-Court M, Alvarado-Ibarra M, Ruiz-Argüelles, et al. Diagnosing and treating mixed phenotype acute leukemia: a multicenter 10-year experience in México. Ann Hematol. 2014;93(4): Wolach O, Stone RM. How I treat: mixed phenotype acute leukemia. Blood. 2015;125(16): Munker R, Brazauskas R, Wang HL, et al. Allogeneic hematopoietic cell transplantation for patients with mixed phenotype acute leukemia. Biol Blood Marrow Transplant. 2016;22(6): Dőhner H, Estey EH, Amadori S, et al. Diagnosis and management of acute myeloid leukemia in adults: recommendations from an international expert panel, on behalf of the European LeukemiaNet. Blood. 2010;115(3): e

9 15 Bacigalupo A, Ballen K, Rizzo D, et al. Defining the intensity of conditioning regimens: working definitions. Biol Blood Marrow Transplant. 2009;15(12): Przepiorka D, Weisdorf D, Martin P, et al Consensus conference on acute GVHD grading. Bone Marrow Transplant. 1995;15(6): Gooley TA, Leisenring W, Crowley J, Storer BE. Estimation of failure probabilities in the presence of competing risks: new representations of old estimators. Stat Med. 1999;18(6): Ho D, Imai K, King G, Stuart E. Matching as Non-parametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference. Political Analysis. 2007;15: Park JA, Ghim TT, Bae KW, et al. Stem cell transplant in the treatment of childhood biphenotypic acute leukemia. Pediatr Blood Cancer. 2009;53(3): dd > Y& & W t DY,^d, dddd ed d eee eee dd ^, ^ d D ^ :, dddd ed d ddd ded dd d, y z > > > Z ddde dd dd de dd D W t& s D D ddd t,k ddde dddd dde dd dded dded dd Negrin RS. Graft-versus-host disease versus graft-versus-leukemia. Hematology Am Soc Hematol Educ Program. 2015;2015: Stern M, de Wreede LC, Brand R, et al. Sensitivity of hematological malignancies to graft-versus-host effects: an EBMT megafile analysis. Leukemia. 2014;28(11): Cahu X, Labopin M, Giebel S, et al. Impact of conditioning with TBI in adult patients with T-cell ALL who receive a myeloablative allogeneic stem cell transplantation: a report from the acute leukemia working party of EBMT. Bone Marrow Transplant. 2016;51(3): de Hamilton BK, Rybicki L, Abounader D, et al. Allogeneic hematopoietic cell transplantation (HCT) adult T-cell acute lymphoblastic leukemia (T-ALL). Biol Blood Marrow Transplant. 2017;23(7): de Scott BL, Pasquini MC, Logan BR, et al. Myeloablative versus reduced-intensity hematopoietic cell transplantation for acute myeloid leukemia and myelodysplastic syndromes. J Clin Oncol. 2017;35(11): Eckstein OS, Wang L, Punia JN, et al Mixed-phenotype acute leukemia (MPAL) exhibits frequent mutations in DMNT3A and activated signaling genes. Exp Hematol. 2016;44(8): Alexander TB, Gu Z, Choi JK, et al. Genomic landscape of mixed phenotype acute leukemia. Blood. 2016;128(22):454. e

10 d dw d d W Ds l dde dddl D de d de ed de dd ddd dd e de dd ddd dd e de ed dd d ' dde ed d ded de e d dddd dddd ee dd d dddd dddd dde dd e dddd dddd ddd dd e ddd de d ' d d / ddd dd e W dd W l dddd ddl ddd de d h dde ed e D d/ ded dd d D d/ ddd de d Z/ dde dd e D Z ee ±de ' dde de d dee ed d d d e / d d' ddd dd d de dd d E d ddd dd e W ded ed d W dee de e ddd dd e dde de d & dd d d e ded d Dl d/l Z/l d'l d e

11 dd ' e dd de W d e d e dd dd d de d e e dd de W l d dd / d dh K d,^d DW> >&^ lm^ W K^ lm^ W Z/ lm^ W EZD lm^ W 's, lm^ W de dd de dd de de e de ed dd d dd dd md dddd ed e de ed dd d de ed dd e dd de ld ddde de d dd dd dd e de dd ld ddd de d dd dd de d dd dd de e de de ld dde de d dd de de d dd de dd d de dd ld dee z dddd dddd dddd dddd dddd dddd dd e dd dd de e dd dd de d de dd Wld ded dd e dd de dd e de ed ed e dd ed Wld dde dd e dd de dd e de de dd e dd dd Wld ded dd d dd dd Wld dde dd d dd dd de e dd dd Wld ede D h dd e de dd de e dd dd Wld eed dd d de ed de d dd ee Wld dee dd e de de de e dd de Wld dee dd e de de dd d de de Wld ede dd e de dd dd e dd de W D & dd d de dd de e dd de Wld edd dd d de ed de d dd ee Wld eee dd d de de de e dd de Wld edd dd d de de dd e de de Wld edd Wld dde D & dd e dd dd de d de dd Wld eee de d dd ed dd e de dd dd e de dd Wld dee de d dd dd de d dd dd Wld ded dd d de de dd d dd dd Wld dde D E & md & md dd d dd dd de e de ed Wld ded de d dd ed dd d dd ed Wld edd dd e de de dd e dd dd Wld ded dd e de dd de e de de Wld dde dd d de de dd e dd ed Ds E W dd d de dd Wld eee de d dd ee dd d de ed de e dd de de e dd de Wld ded dd e dd dd Wld dee dd d de dd Ds E W de d dd de de e dd dd Wld dee de d dd ee de e dd ed Wld dde de e dd de Wld ede dd d de de dd d de dd Wld dee de d dd dd d D Dd/ Z/ dd d dd dd de d de de de d de de Wmd ddd dd d de ed ed d dd ee de d de ed dd d dd dd dd e de de de d de de Wmd ddd dd e de d dd d de de dd e dd dd Wld eed dd e dd dd dd d dd dd Wld dde / W E dd e dd ed de d de de dd d de dd ed e de ee dd d dd ed dd d de ed Wld dde de d de de dd d dd dd dd d de de Wld ded de e dd dd de e dd de dd d dd dd de d de de dd d dd dd de e dd dd Wld ede ^ W dd e de dd de e dd dd Wld eed dd e dd ed de d dd ed dd e de dd dd d de de Wld dee de d dd de de e de dd dd e dd dd D Z/ d/

12 Table 3 Multivariate analysis of major outcomes after transplant RI NRM LFS OS Chronic GVHD HR CI p HR CI p HR CI p HR CI p HR CI p Age per decade < Year of transplant UD vs MSD Female D -> male R < Intermediate cytogenetics (ref) Poor cytogenetics Cytogenetics NA or failed MAC chemo (ref) MAC TBI vs MAC chemo RIC vs MAC chemo In vivo TCD PB vs BM Abbreviations : RI : relapse incidence, NRM : non-relapse mortality, LFS : leukemia-free survival, OS ; over-all survival, GVHD : graft-versus host disease, UD : unrelated donor, MSD : matched-sibling donor, D : donor, R : recipient, NA : not available, MAC : myeloablative conditioning, TBI : total body irradiation, RIC : reduced intensity conditioning, TCD : T-cell depletion, PB : peripheral blood, BM : bone marrow 0.02 dd

13 d d^ DW>,^d Z < : /DdZ Dd z ^ deed ddde dddd dddd dddd dddd ddde dddd deee dddd dddd dddd W D l Zd l 's, >&^ d K^ d e e mddl de dd dd del ddl dd dd de del edl de ed ddl del dd de dd ed eel dd ed dd ed de del eel dd Z dde de ddd dd del del d /DdZ / D d Z Dd ^ D d d d dd

14 Figure legends Figure 1 : Overall survival (OS) of patients with MPAL who underwent allo-sct according to age groups : y, y and 56 y Figure 2 : Leukemia-free survival (LFS) of patients with MPAL who underwent allo-sct according to age groups : y, y and 56 y dd

15

16

17 DATA ON MATCHED-PAIR ANALYSIS A) Comparison ALL with MPAL Nr of controls N median follow-up (patients alive) months ( ) N ALL MPAL Test p-value median follow-up (patients alive) mo ( ) ( ) AGE_median (range) (IQR) 37.7( )( ) YEAR_median (range) 2010( ) 37.5( )( ) 2010( ) age (46.83% ) 226 (46.22% ) age (40.04% ) 197 (40.29% ) age>= (13.13% ) 66 (13.5% ) (12.47% ) 62 (12.68% ) (45.73% ) 225 (46.01% ) (41.79% ) 202 (41.31% ) Time from diagnosis to CR1 5.1(0.4-5(0.2-24)( )( ) 6.4) By classes (in months) (0.03,4.56] 526 (38.37% ) 188 (38.45% ) 0.998

18 (4.56,5.64] 324 (23.63% ) 115 (23.52% ) (5.64,7.34] 318 (23.19% ) 112 (22.9% ) (7.34,24] 203 (14.81% ) 74 (15.13% ) match-sibling donor 749 (54.63% ) 269 (55.01% ) UD 622 (45.37% ) 220 (44.99% ) patient male 868 (63.31% ) 310 (63.39% ) patient female 503 (36.69% ) 179 (36.61% ) donor male 895 (65.28% ) 312 (63.8% ) donor female 476 (34.72% ) 177 (36.2% ) no F->M 1105 (80.6% ) 389 (79.55% ) F->M 266 (19.4% ) 100 (20.45% ) intermediate risk 256 (18.67% ) 101 (20.65% ) <10-4 cytogenetics poor risk 514 (37.49% ) 93 (19.02% ) NA 601 (43.84% ) 295 (60.33% ) Phi neg 232 (32.4% ) 147 (75.38% ) <10-4 Phi pos 484 (67.6% ) 48 (24.62% ) Patient CMV neg 584 (48.67% ) 197 (46.24% ) Patient CMV pos 616 (51.33% ) 229 (53.76% ) missing Donor CMV neg 599 (48.94% ) 201 (46.1% ) 0.39 Donor CMV pos 625 (51.06% ) 235 (53.9% ) missing BM 327 (23.85% ) 120 (24.54% ) 0.76 PB 1044 (76.15% ) 369 (75.46% ) MAC chemo 350 (25.53% ) 130 (26.58% ) MAC TBI 754 (55% ) 254 (51.94% )

19 RIC 267 (19.47% ) 105 (21.47% ) no in vivo TCD 667 (53.92% ) 240 (54.92% ) in vivo TCD 570 (46.08% ) 197 (45.08% ) missing No agvhd II 901 (67.95% ) 316 (68.55% ) agvhd II-IV 425 (32.05% ) 145 (31.45% ) missing Causes of death ALL MPAL N Cardiac toxicity 3 (0.59% ) 0 (0% ) haemorhage 5 (0.98% ) 1 (0.55% ) Failure/Rejection 2 (0.39% ) 2 (1.1% ) VOD 16 (3.13% ) 8 (4.4% ) Infection 95 (18.59% ) 33 (18.13% ) IP 4 (0.78% ) 4 (2.2% ) GVHD 130 (25.44% ) 40 (21.98% ) Original disease 227 (44.42% ) 87 (47.8% ) second malignancy 5 (0.98% ) 1 (0.55% ) other transp related 24 (4.7% ) 6 (3.3% ) missing B) COMPARISON AML WITH MPAL Nr of controls N median follow-up (patients alive) months ( )

20 N AML MPAL Test p-value median follow-up (patients alive) ( ) ( ) AGETX_median (range) (IQR) 40.3( )( ) YEAR_median (range) 2009( ) 38.1( )( ) 2010( ) age (43.7% ) 224 (44.98% ) age (41.5% ) 203 (40.76% ) age>= (14.8% ) 71 (14.26% ) (13.03% ) 65 (13.05% ) (46.1% ) 228 (45.78% ) (40.86% ) 205 (41.16% ) Time from diagnosis to CR1 5(0.1-5(0.2-24)( )( ) 6.4) By classes (in months) (0.03,3.93] 312 (22.1% ) 110 (22.09% ) (3.93,5.08] 429 (30.38% ) 154 (30.92% ) (5.08,6.56] 341 (24.15% ) 118 (23.69% ) (6.56,24] 330 (23.37% ) 116 (23.29% ) match-sibling donor 787 (55.74% ) 275 (55.22% ) UD 625 (44.26% ) 223 (44.78% ) patient male 875 (61.97% ) 313 (62.85% ) patient female 537 (38.03% ) 185 (37.15% ) donor male 936 (66.29% ) 317 (63.65% ) donor female 476 (33.71% ) 181 (36.35% )

21 no F->M 1138 (80.59% ) 397 (79.72% ) F->M 274 (19.41% ) 101 (20.28% ) intermediate risk 430 (30.45% ) 100 (20.08% ) <10-4 cytogenetics poor risk 155 (10.98% ) 97 (19.48% ) NA 827 (58.57% ) 301 (60.44% ) Patient CMV neg 470 (38.21% ) 160 (36.61% ) Patient CMV pos 760 (61.79% ) 277 (63.39% ) missing Donor CMV neg 599 (48.94% ) 201 (46.1% ) Donor CMV pos 625 (51.06% ) 235 (53.9% ) missing BM 328 (23.23% ) 126 (25.3% ) PB 1084 (76.77% ) 372 (74.7% ) MAC chemo 406 (28.75% ) 136 (27.31% ) MAC TBI 670 (47.45% ) 247 (49.6% ) RIC 336 (23.8% ) 115 (23.09% ) no in vivo TCD 693 (55.4% ) 245 (54.93% ) in vivo TCD 558 (44.6% ) 201 (45.07% ) missing No agvhd II 968 (72.18% ) 319 (67.87% ) agvhd II-IV 373 (27.82% ) 151 (32.13% ) missing Causes of death AML MPAL N Cardiac toxicity 2 (0.41% ) 0 (0% ) haemorhage 6 (1.22% ) 1 (0.54% ) Failure/Rejection 3 (0.61% ) 1 (0.54% )

22 VOD 6 (1.22% ) 8 (4.3% ) Infection 93 (18.94% ) 32 (17.2% ) IP 10 (2.04% ) 4 (2.15% ) GVHD 88 (17.92% ) 44 (23.66% ) Original disease 259 (52.75% ) 87 (46.77% ) second malignancy 9 (1.83% ) 1 (0.54% ) other transp related 15 (3.05% ) 8 (4.3% ) missing 36 15

23 Table 2 (Internet only) Multivariate analysis of risk comparing MPAL with AML and ALL (separate comparisons) Outcomes, HR (95% CI) LFS p value OS p value RI p value NRM p value cgvhd p value MPAL AML ALL ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) Abbreviations : MPAL : mixed phenotype acute leukemia, AML : acute myelogenous leukemia, HR : hasard ratio, LFS : leukemia-free survival ; OS : overall survival ; RI : relapse incidence, NRM : nonrelapse mortality ; cgvhd : chronic graft-versus host disease HR >> 1 for AML respectively ALL indicates that MPAL has a worse outcome in these comparions

Mediastinal Grey Zone Lymphoma: clinico-pathological characteristics and outcomes of 99 patients from the LYSA

Mediastinal Grey Zone Lymphoma: clinico-pathological characteristics and outcomes of 99 patients from the LYSA Published Ahead of Print on October 6, 2016, as doi:10.3324/haematol.2016.152256. Copyright 2016 Ferrata Storti Foundation. Mediastinal Grey Zone Lymphoma: clinico-pathological characteristics and outcomes

More information

Published Ahead of Print on August 1, 2014, as doi: /haematol Copyright 2014 Ferrata Storti Foundation.

Published Ahead of Print on August 1, 2014, as doi: /haematol Copyright 2014 Ferrata Storti Foundation. Published Ahead of Print on August 1, 2014, as doi:10.3324/haematol.2014.106096. Copyright 2014 Ferrata Storti Foundation. Outcome of Aplastic Anemia in adolescence. A survey of the Severe Aplastic Anemia

More information

Published Ahead of Print on July 9, 2015, as doi: /haematol Copyright 2015 Ferrata Storti Foundation.

Published Ahead of Print on July 9, 2015, as doi: /haematol Copyright 2015 Ferrata Storti Foundation. Published Ahead of Print on July 9, 2015, as doi:10.3324/haematol.2015.125864. Copyright 2015 Ferrata Storti Foundation. Impact of prior treatment and depth of response on survival in MM-003, a randomized

More information

Published Ahead of Print on August 16, 2018, as doi: /haematol Copyright 2018 Ferrata Storti Foundation.

Published Ahead of Print on August 16, 2018, as doi: /haematol Copyright 2018 Ferrata Storti Foundation. Published Ahead of Print on August 16, 2018, as doi:10.3324/haematol.2018.196121. Copyright 2018 Ferrata Storti Foundation. Computed tomography pulmonary angiography versus ventilation-perfusion lung scan

More information

R-CHOP 14 with or without radiotherapy in non-bulky limited-stage diffuse large B-cell lymphoma (DLBCL)

R-CHOP 14 with or without radiotherapy in non-bulky limited-stage diffuse large B-cell lymphoma (DLBCL) R-CHOP 14 with or without radiotherapy in non-bulky limited-stage diffuse large B-cell lymphoma (DLBCL) Thierry Lamy, Gandhi Damaj, Pierre Soubeyran, Emmanuel Gyan, Guillaume Cartron, Krimo Bouabdallah,

More information

d ^dzd K DZ/ '^ ^ '^ K '^ / '^ / DZ/ W / ^ d Eled ^ d Eldd dd d e t d d e de ^ '^ de ddl '^

d ^dzd K DZ/ '^ ^ '^ K '^ / '^ / DZ/ W / ^ d Eled ^ d Eldd dd d e t d d e de ^ '^ de ddl '^ DZ/, ^ : ' t ' D ^ E > E / D, ^ : ' W > E/D, E/, dd Z d dde Dddeed ddee ddd ddd dede E /, D d ^dzd K DZ/ '^ ^ '^ K '^ / '^ / DZ/ W / ^ d Eled ^ d Eldd dd d e t d d e de ^ '^ de ddl '^ d d '^ t '^ d /EdZKhd/KE

More information

Published Ahead of Print on May 24, 2018, as doi: /haematol Copyright 2018 Ferrata Storti Foundation.

Published Ahead of Print on May 24, 2018, as doi: /haematol Copyright 2018 Ferrata Storti Foundation. Published Ahead of Print on May 24, 2018, as doi:10.3324/haematol.2018.193151. Copyright 2018 Ferrata Storti Foundation. Reducing mortality in newly diagnosed standard-risk acute promyelocytic leukemia

More information

h D t del d ddl ddl el del d < d

h D t del d ddl ddl el del d < d > Z Z d : d h D d, Z d d / d W < ^ d d d ' e W E e > ^ d d / & d e ^ < e Z d e & D d e h s d : ^ d e d ' D ' h ' ' ' d / / ' h ^ ^ ' d / / ' & ' h D ' ' ' d W ' h ' ' ' d ' D ' ' > ' h ' ' ' e D /' /EZh

More information

Published Ahead of Print on May 10, 2018, as doi: /haematol Copyright 2018 Ferrata Storti Foundation.

Published Ahead of Print on May 10, 2018, as doi: /haematol Copyright 2018 Ferrata Storti Foundation. Published Ahead of Print on May 10, 2018, as doi:10.3324/haematol.2017.186569. Copyright 2018 Ferrata Storti Foundation. Rituximab plus Bendamustine as front line treatment in frail elderly (>70 years)

More information

Molecular Pharmacology Fast Forward. Published on June 29, 2016 as DOI: /mol This article has not been copyedited and formatted.

Molecular Pharmacology Fast Forward. Published on June 29, 2016 as DOI: /mol This article has not been copyedited and formatted. , W D E / & h E D D D Z W, W D / & h dddd h D D d dddddedddede dddddeddddee & dddddedddede d d d & d dee d eddd Z dde DW d d d W/ d d e e d d d d d, d /^ d db d db E< E l

More information

W W D D ddd ^ D,, Z > tdddee d lddddddededdedd ' d W d

W W D D ddd ^ D,, Z > tdddee d lddddddededdedd ' d W d dd WZde de& WZddd ' d d d E < d K d ' ^ d Z d Z E ' d d >, d K D d K d Z E d > E d D e E ^ e W D D d d ^ D / > > h < d W D / W W E < > > h < d / / ^ > h < d Y ^ D ^ / E h > > h < d / > > h < e D ^ E h

More information

Blood First Edition Paper, prepublished online March 7, 2018; DOI /blood

Blood First Edition Paper, prepublished online March 7, 2018; DOI /blood Blood First Edition Paper, prepublished online March 7, 2018; DOI 10.1182/blood-2017-12-822817 ^ E& /s>> > >zdw,k/ekw>^/, Dzee ee D Z ^ d W D : d Z t d D, s d D : d ^ & ^ d :,, s d Z d t < d D : < d D

More information

Copyright 2010 by the American Society for Pharmacology and Experimental Therapeutics.

Copyright 2010 by the American Society for Pharmacology and Experimental Therapeutics. DMD This Fast article Forward. has not been Published copyedited and on formatted. July 15, The 2010 final as version doi:10.1124/dmd.110.033936 may differ from this version. / & W W, / > W > Z z d >,

More information

Can we reduce health inequalities? An analysis of the English strategy ( )

Can we reduce health inequalities? An analysis of the English strategy ( ) Can we reduce health inequalities? An analysis of the English strategy (1997-2010) Johan P Mackenbach To cite this version: Johan P Mackenbach. Can we reduce health inequalities? An analysis of the English

More information

Overview of the Accountancy Profession in China

Overview of the Accountancy Profession in China 2016I1-024 Overview of the Accountancy Profession in China (Released by CICPA, Updated on January 21, 2016) /K D d // / W d ///^ d d d /s^ / ^ e s^ W D & e s/^ E ^ e s///d^ W e s///y W dd /y/ dd y/ dd

More information

hzkwekdd/^^/ke /ZdKZd 'EZ> >/Ddd/KE / D ' e h d^ dddd, & & dd dddd d

hzkwekdd/^^/ke /ZdKZd 'EZ> >/Ddd/KE / D ' e h d^ dddd, & & dd dddd d hzkwekdd/^^/ke /ZdKZd'EZ> >/D/KE /D 'e hd^,& & d d d / d dd ^' d dd /D' d dd h' d dd d dd ^ d de W d d, e dd,d^ e dd,d^d^ dd,d^d^ d, dd K dd,d^ de dd,d^ dd D dd D de d ^d: dd dd d ^ dd, dd, d d / dd ^'

More information

Population pharmacokinetics of intravenous Erwinia asparaginase in pediatric acute lymphoblastic leukemia patients

Population pharmacokinetics of intravenous Erwinia asparaginase in pediatric acute lymphoblastic leukemia patients Published Ahead of Print on November 10, 2016, as doi:10.3324/haematol.2016.149195. Copyright 2016 Ferrata Storti Foundation. Population pharmacokinetics of intravenous Erwinia asparaginase in pediatric

More information

Multistate models in survival and event history analysis

Multistate models in survival and event history analysis Multistate models in survival and event history analysis Dorota M. Dabrowska UCLA November 8, 2011 Research supported by the grant R01 AI067943 from NIAID. The content is solely the responsibility of the

More information

Historical review of glasses used for parenteral packaging

Historical review of glasses used for parenteral packaging Downloaded from on November 13, 2018 Historical review of glasses used for parenteral packaging Robert A Schaut and W. Porter Weeks PDA Journal of Pharmaceutical Science and Technology 2017, Access the

More information

Indications and outcomes after UD HSCT

Indications and outcomes after UD HSCT Indications and outcomes after UD HSCT Jakob R Passweg 1 Impact on Outcome: Patient Age, Disease Severity I II III Title: Optimization of Therapy for Severe AplasticAnemia Based on Clinical, Biological

More information

HIF-1 can act as a tumor suppressor gene in murine Acute Myeloid Leukemia.

HIF-1 can act as a tumor suppressor gene in murine Acute Myeloid Leukemia. HIF-1 can act as a tumor suppressor gene in murine Acute Myeloid Leukemia. Velasco, Talia; Hyrenius Wittsten, Axel; Rehn, Matilda; Bryder, David; Cammenga, Jörg Published in: Blood DOI: 1.1182/blood-14-4-56765

More information

Desmopressin in moderate hemophilia A patients: a treatment worth considering

Desmopressin in moderate hemophilia A patients: a treatment worth considering Published Ahead of Print on January 5, 2018, as doi:10.3324/haematol.2017.180059. Copyright 2018 Ferrata Storti Foundation. Desmopressin in moderate hemophilia A patients: a treatment worth considering

More information

Phase I/II Study of the Combination of Panobinostat and Carfilzomib in Patients with Relapsed/Refractory Multiple Myeloma

Phase I/II Study of the Combination of Panobinostat and Carfilzomib in Patients with Relapsed/Refractory Multiple Myeloma Publishe Ahea of Print on February 20, 2015, as oi:10.3324/haematol.2014.119735. Copyright 2015 Ferrata Storti Founation. Phase I/II Stuy of the Combination of Panobinostat an Carfilzomib in Patients with

More information

Phase 3 results for vosaroxin/cytarabine in the subset of patients 60 years old with refractory/early relapsed acute myeloid leukemia

Phase 3 results for vosaroxin/cytarabine in the subset of patients 60 years old with refractory/early relapsed acute myeloid leukemia Publishe Ahea of Print on May 24, 2018, as oi:10.3324/haematol.2018.191361. Copyright 2018 Ferrata Storti Founation. Phase 3 results for vosaroxin/cytarabine in the subset of patients 60 years ol with

More information

Molecular Pharmacology Fast Forward. Published on January 6, 2017 as DOI: /mol This article has not been copyedited and formatted.

Molecular Pharmacology Fast Forward. Published on January 6, 2017 as DOI: /mol This article has not been copyedited and formatted. d/d>w' d zddd & Z d ' W d : z t Z ' :, & D W, > > d/w/ D^ Z / Dh^ d W zt Z' d D^ Z / Dh^ ' d: :, &D >> d/w/ D ^ ' W, d ZhEE/E'd/d>W' Z W D^ Z / ddd d Dddedd ld eee ded dddd d de E d E e E de ddd / edd

More information

2011/04 LEUKAEMIA IN WALES Welsh Cancer Intelligence and Surveillance Unit

2011/04 LEUKAEMIA IN WALES Welsh Cancer Intelligence and Surveillance Unit 2011/04 LEUKAEMIA IN WALES 1994-2008 Welsh Cancer Intelligence and Surveillance Unit Table of Contents 1 Definitions and Statistical Methods... 2 2 Results 7 2.1 Leukaemia....... 7 2.2 Acute Lymphoblastic

More information

Treatment of essential thrombocythemia in Europe: a prospective long-term observational study of 3649 high-risk patients in the EXELS study

Treatment of essential thrombocythemia in Europe: a prospective long-term observational study of 3649 high-risk patients in the EXELS study Published Ahead of Print on October 27, 2017, as doi:10.3324/haematol.2017.174672. Copyright 2017 Ferrata Storti Foundation. Treatment of essential thrombocythemia in Europe: a prospective long-term observational

More information

Published Ahead of Print on June 10, 2013, as doi: /haematol Copyright 2013 Ferrata Storti Foundation.

Published Ahead of Print on June 10, 2013, as doi: /haematol Copyright 2013 Ferrata Storti Foundation. Published Ahead of Print on June 10, 2013, as doi:10.3324/haematol.2013.088377. Copyright 2013 Ferrata Storti Foundation. Early Release Paper First line treatment with rituximab- Hyper-CVAD alternating

More information

PD-L1+ tumor-associated macrophages and PD-1+ tumor infiltrating lymphocytes predict survival in primary testicular lymphoma

PD-L1+ tumor-associated macrophages and PD-1+ tumor infiltrating lymphocytes predict survival in primary testicular lymphoma Published Ahead of Print on July 19, 2018, as doi:10.3324/haematol.2018.197194. Copyright 2018 Ferrata Storti Foundation. PD-L1+ tumor-associated macrophages and PD-1+ tumor infiltrating lymphocytes predict

More information

Safety and efficacy of second-line bosutinib for chronic phase chronic myeloid leukemia over a five-year period: final results of a phase 1/2 study

Safety and efficacy of second-line bosutinib for chronic phase chronic myeloid leukemia over a five-year period: final results of a phase 1/2 study Published Ahead of Print on May 17, 2018, as doi:10.3324/haematol.2017.171249. Copyright 2018 Ferrata Storti Foundation. Safety and efficacy of second-line bosutinib for chronic phase chronic myeloid leukemia

More information

Implementation of erythroid lineage analysis by flow cytometry in diagnostic models for myelodysplastic syndromes

Implementation of erythroid lineage analysis by flow cytometry in diagnostic models for myelodysplastic syndromes Publishe Ahea of Print on September 22, 2016, as oi:10.3324/haematol.2016.147843. Copyright 2016 Ferrata Storti Founation. Implementation of erythroi lineage analysis by flow cytometry in iagnostic moels

More information

Chronic Granulomatous Disease Medical Management

Chronic Granulomatous Disease Medical Management Chronic Granulomatous Disease Medical Management N I C H O L A S H A R T O G, M D D i r e c t o r o f P e d i a t r i c / A d u l t P r i m a r y I m m u n o d e f i c i e n c y C l i n i c A s s i s t

More information

THE EURES WORLD. Handbook

THE EURES WORLD. Handbook THE EURES WORLD Handbook 01. EURES: general information hz^ deed / W ^ W^ D ^ h E / > ^ hz^ dd hz^ History and objectives, W hz^ deed W ^ W^ D ^ h E / > ^ hz^ d / W^ d h K h d hz^ hz^ d d hz^ d hz^ d >

More information

Lecture 9. Statistics Survival Analysis. Presented February 23, Dan Gillen Department of Statistics University of California, Irvine

Lecture 9. Statistics Survival Analysis. Presented February 23, Dan Gillen Department of Statistics University of California, Irvine Statistics 255 - Survival Analysis Presented February 23, 2016 Dan Gillen Department of Statistics University of California, Irvine 9.1 Survival analysis involves subjects moving through time Hazard may

More information

Question&Answers. 9 November 2011

Question&Answers. 9 November 2011 hzkwekdd/^^/ke /ZdKZd 'EZ> >/Ddd/KE / D Question&Answers h d^ dddd 9 November 2011 This document has been developed building on the frequently asked questions to the Helpdesk for the Member States Competent

More information

Multi-state Models: An Overview

Multi-state Models: An Overview Multi-state Models: An Overview Andrew Titman Lancaster University 14 April 2016 Overview Introduction to multi-state modelling Examples of applications Continuously observed processes Intermittently observed

More information

Srdan Verstovsek, MD, PhD Professor, Department of Leukemia, The University of Texas MD Anderson Cancer Center

Srdan Verstovsek, MD, PhD Professor, Department of Leukemia, The University of Texas MD Anderson Cancer Center Efficacy and Safety of Pegylated Interferon Alpha- 2a in Patients with Essential Thrombocythemia (ET) and Polycythemia vera (PV): Results after a Median 7-year Follow-up of a Phase 2 Study Srdan Verstovsek,

More information

Late thyroid complications in childhood acute leukemia survivors. An L.E.A. study

Late thyroid complications in childhood acute leukemia survivors. An L.E.A. study Published Ahead of Print on March 11, 2016, as doi:10.3324/haematol.2015.140053. Copyright 2016 Ferrata Storti Foundation. Late thyroid complications in childhood acute leukemia survivors. An L.E.A. study

More information

Multi-state models: prediction

Multi-state models: prediction Department of Medical Statistics and Bioinformatics Leiden University Medical Center Course on advanced survival analysis, Copenhagen Outline Prediction Theory Aalen-Johansen Computational aspects Applications

More information

Lecture 8 Stat D. Gillen

Lecture 8 Stat D. Gillen Statistics 255 - Survival Analysis Presented February 23, 2016 Dan Gillen Department of Statistics University of California, Irvine 8.1 Example of two ways to stratify Suppose a confounder C has 3 levels

More information

Catalytically inactive Gla-domainless factor Xa binds to TFPI and restores ex vivo coagulation in hemophilia plasma

Catalytically inactive Gla-domainless factor Xa binds to TFPI and restores ex vivo coagulation in hemophilia plasma Published Ahead of Print on October 5, 2017, as doi:10.3324/haematol.2017.174037. Copyright 2017 Ferrata Storti Foundation. Catalytically inactive Gla-domainless factor Xa binds to TFPI and restores ex

More information

Chapter 4 Fall Notations: t 1 < t 2 < < t D, D unique death times. d j = # deaths at t j = n. Y j = # at risk /alive at t j = n

Chapter 4 Fall Notations: t 1 < t 2 < < t D, D unique death times. d j = # deaths at t j = n. Y j = # at risk /alive at t j = n Bios 323: Applied Survival Analysis Qingxia (Cindy) Chen Chapter 4 Fall 2012 4.2 Estimators of the survival and cumulative hazard functions for RC data Suppose X is a continuous random failure time with

More information

Chapter 7 Fall Chapter 7 Hypothesis testing Hypotheses of interest: (A) 1-sample

Chapter 7 Fall Chapter 7 Hypothesis testing Hypotheses of interest: (A) 1-sample Bios 323: Applied Survival Analysis Qingxia (Cindy) Chen Chapter 7 Fall 2012 Chapter 7 Hypothesis testing Hypotheses of interest: (A) 1-sample H 0 : S(t) = S 0 (t), where S 0 ( ) is known survival function,

More information

CURE FRACTION MODELS USING MIXTURE AND NON-MIXTURE MODELS. 1. Introduction

CURE FRACTION MODELS USING MIXTURE AND NON-MIXTURE MODELS. 1. Introduction ØÑ Å Ø Ñ Ø Ð ÈÙ Ð Ø ÓÒ DOI: 10.2478/v10127-012-0001-4 Tatra Mt. Math. Publ. 51 (2012), 1 9 CURE FRACTION MODELS USING MIXTURE AND NON-MIXTURE MODELS Jorge A. Achcar Emílio A. Coelho-Barros Josmar Mazucheli

More information

Numerical Methods in Cancer Models

Numerical Methods in Cancer Models Numerical Methods in Cancer Models Doron Levy Department of Mathematics and Center for Scientific Computation and Mathematical Modeling (CSCAMM) University of Maryland, College Park Plan Motivation 1 What

More information

Statistical Modeling with Spline Functions Methodology and Theory

Statistical Modeling with Spline Functions Methodology and Theory This is page 1 Printer: Opaque this Statistical Modeling with Spline Functions Methodology and Theory Mark H. Hansen University of California at Los Angeles Jianhua Z. Huang University of Pennsylvania

More information

Package crrsc. R topics documented: February 19, 2015

Package crrsc. R topics documented: February 19, 2015 Package crrsc February 19, 2015 Title Competing risks regression for Stratified and Clustered data Version 1.1 Author Bingqing Zhou and Aurelien Latouche Extension of cmprsk to Stratified and Clustered

More information

CHAPTER 3 HEART AND LUNG TRANSPLANTATION. Editors: Mr Mohamed Ezani Md. Taib Dato Dr David Chew Soon Ping Dr Ashari Yunus

CHAPTER 3 HEART AND LUNG TRANSPLANTATION. Editors: Mr Mohamed Ezani Md. Taib Dato Dr David Chew Soon Ping Dr Ashari Yunus CHAPTER 3 Editors: Mr Mohamed Ezani Md. Taib Dato Dr David Chew Soon Ping Dr Ashari Yunus Expert Panel: Mr Mohamed Ezani Md. Taib (Chairperson) Dr Abdul Rais Sanusi Datuk Dr Aizai Azan Abdul Rahim Dr Ashari

More information

First Aid Kit for Survival. Hypoxia cohort. Goal. DFS=Clinical + Marker 1/21/2015. Two analyses to exemplify some concepts of survival techniques

First Aid Kit for Survival. Hypoxia cohort. Goal. DFS=Clinical + Marker 1/21/2015. Two analyses to exemplify some concepts of survival techniques First Aid Kit for Survival Melania Pintilie pintilie@uhnres.utoronto.ca Two analyses to exemplify some concepts of survival techniques Checking linearity Checking proportionality of hazards Predicted curves:

More information

Definitions and examples Simple estimation and testing Regression models Goodness of fit for the Cox model. Recap of Part 1. Per Kragh Andersen

Definitions and examples Simple estimation and testing Regression models Goodness of fit for the Cox model. Recap of Part 1. Per Kragh Andersen Recap of Part 1 Per Kragh Andersen Section of Biostatistics, University of Copenhagen DSBS Course Survival Analysis in Clinical Trials January 2018 1 / 65 Overview Definitions and examples Simple estimation

More information

CHAPTER 3 HEART AND LUNG TRANSPLANTATION. Editors: Mr Mohamed Ezani Md. Taib Dato Dr David Chew Soon Ping Dr Ashari Yunus

CHAPTER 3 HEART AND LUNG TRANSPLANTATION. Editors: Mr Mohamed Ezani Md. Taib Dato Dr David Chew Soon Ping Dr Ashari Yunus CHAPTER 3 HEART AND LUNG TRANSPLANTATION Editors: Mr Mohamed Ezani Md. Taib Dato Dr David Chew Soon Ping Dr Ashari Yunus Expert Panel: Mr Mohamed Ezani Md. Taib (Chairperson) Dr Abdul Rais Sanusi Datuk

More information

Textbook: Survivial Analysis Techniques for Censored and Truncated Data 2nd edition, by Klein and Moeschberger

Textbook: Survivial Analysis Techniques for Censored and Truncated Data 2nd edition, by Klein and Moeschberger Lecturer: James Degnan Office: SMLC 342 Office hours: MW 12:00 1:00 or by appointment E-mail: jamdeg@unm.edu Please include STAT474 or STAT574 in the subject line of the email to make sure I don t overlook

More information

Dynamic Prediction of Disease Progression Using Longitudinal Biomarker Data

Dynamic Prediction of Disease Progression Using Longitudinal Biomarker Data Dynamic Prediction of Disease Progression Using Longitudinal Biomarker Data Xuelin Huang Department of Biostatistics M. D. Anderson Cancer Center The University of Texas Joint Work with Jing Ning, Sangbum

More information

Package threg. August 10, 2015

Package threg. August 10, 2015 Package threg August 10, 2015 Title Threshold Regression Version 1.0.3 Date 2015-08-10 Author Tao Xiao Maintainer Tao Xiao Depends R (>= 2.10), survival, Formula Fit a threshold regression

More information

A multi-state model for the prognosis of non-mild acute pancreatitis

A multi-state model for the prognosis of non-mild acute pancreatitis A multi-state model for the prognosis of non-mild acute pancreatitis Lore Zumeta Olaskoaga 1, Felix Zubia Olaskoaga 2, Guadalupe Gómez Melis 1 1 Universitat Politècnica de Catalunya 2 Intensive Care Unit,

More information

5. Parametric Regression Model

5. Parametric Regression Model 5. Parametric Regression Model The Accelerated Failure Time (AFT) Model Denote by S (t) and S 2 (t) the survival functions of two populations. The AFT model says that there is a constant c > 0 such that

More information

SET-Plan - SOLAR THERMAL ELECTRICITY EUROPEAN INDUSTRIAL INITIATIVE (STE-EII)

SET-Plan - SOLAR THERMAL ELECTRICITY EUROPEAN INDUSTRIAL INITIATIVE (STE-EII) SET-Plan - SOLAR THERMAL ELECTRICITY EUROPEAN INDUSTRIAL INITIATIVE (STE-EII) IMPLEMENTATION PLAN 2013-2015 dd dddd ^//d d ^ / / ^d / dddd dddd /Ey /Ey d '>K^^Zz d /EdZKhd/KE e /,/sded^/ez ^/Ed,'/EE/E'K&d,^d

More information

REGRESSION ANALYSIS FOR TIME-TO-EVENT DATA THE PROPORTIONAL HAZARDS (COX) MODEL ST520

REGRESSION ANALYSIS FOR TIME-TO-EVENT DATA THE PROPORTIONAL HAZARDS (COX) MODEL ST520 REGRESSION ANALYSIS FOR TIME-TO-EVENT DATA THE PROPORTIONAL HAZARDS (COX) MODEL ST520 Department of Statistics North Carolina State University Presented by: Butch Tsiatis, Department of Statistics, NCSU

More information

STAT 526 Spring Midterm 1. Wednesday February 2, 2011

STAT 526 Spring Midterm 1. Wednesday February 2, 2011 STAT 526 Spring 2011 Midterm 1 Wednesday February 2, 2011 Time: 2 hours Name (please print): Show all your work and calculations. Partial credit will be given for work that is partially correct. Points

More information

DOWNLOAD OR READ : UNANSWERED QUESTIONS CELL BIOLOGY PDF EBOOK EPUB MOBI

DOWNLOAD OR READ : UNANSWERED QUESTIONS CELL BIOLOGY PDF EBOOK EPUB MOBI DOWNLOAD OR READ : UNANSWERED QUESTIONS CELL BIOLOGY PDF EBOOK EPUB MOBI Page 1 Page 2 unanswered questions cell biology unanswered questions cell biology pdf unanswered questions cell biology Mohini Sharma.

More information

You know I m not goin diss you on the internet Cause my mama taught me better than that I m a survivor (What?) I m not goin give up (What?

You know I m not goin diss you on the internet Cause my mama taught me better than that I m a survivor (What?) I m not goin give up (What? You know I m not goin diss you on the internet Cause my mama taught me better than that I m a survivor (What?) I m not goin give up (What?) I m not goin stop (What?) I m goin work harder (What?) Sir David

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

Chapter 7: Hypothesis testing

Chapter 7: Hypothesis testing Chapter 7: Hypothesis testing Hypothesis testing is typically done based on the cumulative hazard function. Here we ll use the Nelson-Aalen estimate of the cumulative hazard. The survival function is used

More information

NK cells are part of the innate immune response. Early response to injury and infection

NK cells are part of the innate immune response. Early response to injury and infection NK cells are part of the innate immune response Early response to injury and infection Functions: Natural Killer (NK) Cells. Cytolysis: killing infected or damaged cells 2. Cytokine production: IFNγ, GM-CSF,

More information

Phase I design for locating schedule-specific maximum tolerated doses

Phase I design for locating schedule-specific maximum tolerated doses Phase I design for locating schedule-specific maximum tolerated doses Nolan A. Wages, Ph.D. University of Virginia Division of Translational Research & Applied Statistics Department of Public Health Sciences

More information

Introduction to Statistical Analysis. Cancer Research UK 12 th of February 2018 D.-L. Couturier / M. Eldridge / M. Fernandes [Bioinformatics core]

Introduction to Statistical Analysis. Cancer Research UK 12 th of February 2018 D.-L. Couturier / M. Eldridge / M. Fernandes [Bioinformatics core] Introduction to Statistical Analysis Cancer Research UK 12 th of February 2018 D.-L. Couturier / M. Eldridge / M. Fernandes [Bioinformatics core] 2 Timeline 9:30 Morning I I 45mn Lecture: data type, summary

More information

E509A: Principle of Biostatistics. (Week 11(2): Introduction to non-parametric. methods ) GY Zou.

E509A: Principle of Biostatistics. (Week 11(2): Introduction to non-parametric. methods ) GY Zou. E509A: Principle of Biostatistics (Week 11(2): Introduction to non-parametric methods ) GY Zou gzou@robarts.ca Sign test for two dependent samples Ex 12.1 subj 1 2 3 4 5 6 7 8 9 10 baseline 166 135 189

More information

A NEW PANAGGLUTININ IN A TRANSFUSION-DEPENDENT PATIENT A Case Study by Jim Perkins, M.D. ( 2009)

A NEW PANAGGLUTININ IN A TRANSFUSION-DEPENDENT PATIENT A Case Study by Jim Perkins, M.D. ( 2009) A NEW PANAGGLUTININ IN A TRANSFUSION-DEPENDENT PATIENT A Case Study by Jim Perkins, M.D. ( 2009) History: J.N. was a 70 year-old male diagnosed with B-cell chronic lymphocytic leukemia (CLL) in 1998 who

More information

Section IX. Introduction to Logistic Regression for binary outcomes. Poisson regression

Section IX. Introduction to Logistic Regression for binary outcomes. Poisson regression Section IX Introduction to Logistic Regression for binary outcomes Poisson regression 0 Sec 9 - Logistic regression In linear regression, we studied models where Y is a continuous variable. What about

More information

TIME SERIES MODELS ON MEDICAL RESEARCH

TIME SERIES MODELS ON MEDICAL RESEARCH PERIODICA POLYTECHNICA SER. EL. ENG. VOL. 49, NO. 3 4, PP. 175 181 (2005) TIME SERIES MODELS ON MEDICAL RESEARCH Mária FAZEKAS Department of Economic- and Agroinformatics, University of Debrecen e-mail:

More information

and ALiTO SOLO LOWELL, MICHIGAN, THURSDAY, AUGUST 9, 1928 First Results of the 1928 Nationwide Presidential Poll

and ALiTO SOLO LOWELL, MICHIGAN, THURSDAY, AUGUST 9, 1928 First Results of the 1928 Nationwide Presidential Poll E E XXX E Y! D 22 5 Q G Y G Y D G G q - YEE 24-? G Y E x - E Q- E 7// < D D D G E G D - 2 ; - j E ; (z ; 4 2 z 5 q z: G $7 z: $5 z: $3 E G DY G 9 928 54 Y! 8! GEG : : ; j: D - DY DY G z D zz!!!-! G E DDED

More information

Philosophy and Features of the mstate package

Philosophy and Features of the mstate package Introduction Mathematical theory Practice Discussion Philosophy and Features of the mstate package Liesbeth de Wreede, Hein Putter Department of Medical Statistics and Bioinformatics Leiden University

More information

Accepted Manuscript. Comparing different ways of calculating sample size for two independent means: A worked example

Accepted Manuscript. Comparing different ways of calculating sample size for two independent means: A worked example Accepted Manuscript Comparing different ways of calculating sample size for two independent means: A worked example Lei Clifton, Jacqueline Birks, David A. Clifton PII: S2451-8654(18)30128-5 DOI: https://doi.org/10.1016/j.conctc.2018.100309

More information

RESOURCE, SUPPORT, AND DEVELOPMENT, INC

RESOURCE, SUPPORT, AND DEVELOPMENT, INC RESOURCE, SUPPORT, AND DEVELOPMENT, INC BOARD OF DIRECTORS Pd Pk E. K V-Pd B R S L Bd-Sw Ld Tk Nk Edwd A DB Dv S ADMINISTRATIVE TEAM Pvd v dvd w db B, Hd, Lww, d Rd Ld, M A Pb R.S.D., I Smm 2006 Vm 5 CEO

More information

of 2-Phenoxyethanol in B6D2F1 Mice

of 2-Phenoxyethanol in B6D2F1 Mice Summary of Drinking Water Carcinogenicity Study of 2-Phenoxyethanol in B6D2F1 Mice June 2007 Japan Bioassay Research Center Japan Industrial Safety and Health Association PREFACE The tests were contracted

More information

Published Ahead of Print on April 19, 2018, as doi: /haematol Copyright 2018 Ferrata Storti Foundation.

Published Ahead of Print on April 19, 2018, as doi: /haematol Copyright 2018 Ferrata Storti Foundation. Published Ahead of Print on April 19, 2018, as doi:10.3324/haematol.2018.189837. Copyright 2018 Ferrata Storti Foundation. Efficacy of bendamustine and rituximab as first salvage treatment in chronic lymphocytic

More information

ADVANCED STATISTICAL ANALYSIS OF EPIDEMIOLOGICAL STUDIES. Cox s regression analysis Time dependent explanatory variables

ADVANCED STATISTICAL ANALYSIS OF EPIDEMIOLOGICAL STUDIES. Cox s regression analysis Time dependent explanatory variables ADVANCED STATISTICAL ANALYSIS OF EPIDEMIOLOGICAL STUDIES Cox s regression analysis Time dependent explanatory variables Henrik Ravn Bandim Health Project, Statens Serum Institut 4 November 2011 1 / 53

More information

This presentation contains forward-looking statements within the meaning of the "safe harbor" provisions of the Private Securities Litigation Reform

This presentation contains forward-looking statements within the meaning of the safe harbor provisions of the Private Securities Litigation Reform This presentation contains forward-looking statements within the meaning of the "safe harbor" provisions of the Private Securities Litigation Reform Act of 1995, as amended. These forward-looking statements

More information

Mrs Linda Everard, BSc. The Early Intervention Service. 1 Miller Street. Aston. Birmingham B6 4NF.

Mrs Linda Everard, BSc. The Early Intervention Service. 1 Miller Street. Aston. Birmingham B6 4NF. 1 Dr Anna Lavis, MA MSc MRes PhD. School of Health and Population Sciences, University of Birmingham. Primary Care Clinical Sciences Building. Edgbaston. Birmingham B15 2TT. Email: a.c.lavis@bham.ac.uk

More information

Mathematics, Genomics, and Cancer

Mathematics, Genomics, and Cancer School of Informatics IUB April 6, 2009 Outline Introduction Class Comparison Class Discovery Class Prediction Example Biological states and state modulation Software Tools Research directions Math & Biology

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION SUPPLEMENTARY INFORMATION doi:10.1038/nature14242 Supplementary Methods Mathematical modelling Hematopoietic fluxes. Consider two successive cell compartments in hematopoiesis, an upstream and a reference

More information

Humanistic, and Particularly Classical, Studies as a Preparation for the Law

Humanistic, and Particularly Classical, Studies as a Preparation for the Law University of Michigan Law School University of Michigan Law School Scholarship Repository Articles Faculty Scholarship 1907 Humanistic, and Particularly Classical, Studies as a Preparation for the Law

More information

The National Lung Health Education Program. Spirometric Reference Values for the 6-s FVC Maneuver*

The National Lung Health Education Program. Spirometric Reference Values for the 6-s FVC Maneuver* Spirometric Reference Values for the 6-s FVC Maneuver* John L. Hankinson, PhD; Robert O. Crapo, MD, FCCP; and Robert L. Jensen, PhD Study objectives: The guidelines of the National Lung Health Education

More information

Sensitivity study of dose-finding methods

Sensitivity study of dose-finding methods to of dose-finding methods Sarah Zohar 1 John O Quigley 2 1. Inserm, UMRS 717,Biostatistic Department, Hôpital Saint-Louis, Paris, France 2. Inserm, Université Paris VI, Paris, France. NY 2009 1 / 21 to

More information

Labrador Island Transmission Link

Labrador Island Transmission Link Labrador Island Transmission Link Wetlands Inventory and Classification W Nalcor Energy Hydro Place, 500 Columbus Drive P.O. Box 12800 St. John s, Newfoundland and Labrador Canada A1B 0C9 tdkdzddedt K

More information

Lecture 7 Time-dependent Covariates in Cox Regression

Lecture 7 Time-dependent Covariates in Cox Regression Lecture 7 Time-dependent Covariates in Cox Regression So far, we ve been considering the following Cox PH model: λ(t Z) = λ 0 (t) exp(β Z) = λ 0 (t) exp( β j Z j ) where β j is the parameter for the the

More information

Unit 1: DNA & the Genome Topic 4: Cellular Differentiation

Unit 1: DNA & the Genome Topic 4: Cellular Differentiation Unit 1: DNA & the Genome Topic 4: Cellular Differentiation http://commons.wikimedia.org/wiki/embryo#mediaviewer/file:8-cell_stage_embryo.png Learning Outcomes Define the term cellular differentiation.

More information

d d / d d d ^ ' d d d /D' d d d h ' d d d d d d ^ d d ^ e d d e d d e d d d d d d d W d d, de d d & de d d W d d d d d W d d & d e d /D e de e d de e

d d / d d d ^ ' d d d /D' d d d h ' d d d d d d ^ d d ^ e d d e d d e d d d d d d d W d d, de d d & de d d W d d d d d W d d & d e d /D e de e d de e hzkwekdd/^^/ke /ZdKZd 'EZ> >/D/KE / D ' d h d^ ' & d d d / d d d ^ ' d d d /D' d d d h ' d d d d d d ^ d d ^ e d d e d d e d d d d d d d W d d, de d d & de d d W d d d d d W d d & d e d /D e de e d de

More information

Pig organ transplants within 5 years

Pig organ transplants within 5 years www.breaking News English.com Ready-to-use ESL / EFL Lessons Pig organ transplants within 5 years URL: http://www.breakingnewsenglish.com/0509/050911-xenotransplant.html Today s contents The Article 2

More information

Waste gases and process emissions sub-installation

Waste gases and process emissions sub-installation hzkwekdd/^^/ke /ZdKZd 'EZ> >/D/KE / D ' e h d^ Waste gases and process emissions sub-installation & e^ d d / d d d d e d d / ^ e d d d d d d d d d d d d ^ de d ^ de d d d de d d d de d d d de d / d d ^

More information

Simple techniques for comparing survival functions with interval-censored data

Simple techniques for comparing survival functions with interval-censored data Simple techniques for comparing survival functions with interval-censored data Jinheum Kim, joint with Chung Mo Nam jinhkim@suwon.ac.kr Department of Applied Statistics University of Suwon Comparing survival

More information

Dielectric properties of biological tissues at frequencies below 1 MHz. Azadeh Peyman

Dielectric properties of biological tissues at frequencies below 1 MHz. Azadeh Peyman Dielectric properties of biological tissues at frequencies below 1 MHz Azadeh Peyman Introduction Dielectric properties of tissues: One of the main inputs required in the dosimetry studies involving electromagnetic

More information

BIOL 51A - Biostatistics 1 1. Lecture 1: Intro to Biostatistics. Smoking: hazardous? FEV (l) Smoke

BIOL 51A - Biostatistics 1 1. Lecture 1: Intro to Biostatistics. Smoking: hazardous? FEV (l) Smoke BIOL 51A - Biostatistics 1 1 Lecture 1: Intro to Biostatistics Smoking: hazardous? FEV (l) 1 2 3 4 5 No Yes Smoke BIOL 51A - Biostatistics 1 2 Box Plot a.k.a box-and-whisker diagram or candlestick chart

More information

Welcome to the Public Meeting Red Bluff Road from Kirby Boulevard to State Highway 146 Harris County, Texas CSJ No.: December 15, 2016

Welcome to the Public Meeting Red Bluff Road from Kirby Boulevard to State Highway 146 Harris County, Texas CSJ No.: December 15, 2016 Welcome to the Public Meeting Red Bluff Road from Kirby Boulevard to State Highway 146 Harris County, Texas CSJ No.: 0912-72-340 December 15, 2016 No formal presentation will be made. Seabrook Intermediate

More information

Instrumental variables estimation in the Cox Proportional Hazard regression model

Instrumental variables estimation in the Cox Proportional Hazard regression model Instrumental variables estimation in the Cox Proportional Hazard regression model James O Malley, Ph.D. Department of Biomedical Data Science The Dartmouth Institute for Health Policy and Clinical Practice

More information

Statistics in medicine

Statistics in medicine Statistics in medicine Lecture 4: and multivariable regression Fatma Shebl, MD, MS, MPH, PhD Assistant Professor Chronic Disease Epidemiology Department Yale School of Public Health Fatma.shebl@yale.edu

More information

SEYCHELLES NATIONAL CANCER REGISTRY REPORT FOR

SEYCHELLES NATIONAL CANCER REGISTRY REPORT FOR SEYCHELLES NATIONAL CANCER REGISTRY REPORT FOR 2009-2011 MINISTRY OF HEALTH, SEYCHELLES HOSPITAL, JANUARY 2014 Compiled by: Dr Maxwell, Donald Parkin (AFRN Consultant & Epidemiologist) Ms Anne Finesse

More information

A Mathematical Model of Chronic Myelogenous Leukemia

A Mathematical Model of Chronic Myelogenous Leukemia A Mathematical Model of Chronic Myelogenous Leukemia Brent Neiman University College Oxford University Candidate for Master of Science in Mathematical Modelling and Scientific Computing MSc Dissertation

More information

Supplementary webappendix

Supplementary webappendix Supplementary webappendix This webappendix formed part of the original submission and has been peer reviewed. We post it as supplied by the authors. Supplement to: Elter T, Gercheva-Kyuchukova L, Pylylpenko

More information

Clinical performance of Swelab Lumi 5-part hematology analyzer

Clinical performance of Swelab Lumi 5-part hematology analyzer Clinical performance of Swelab Lumi -part hematology analyzer A complete blood count (CBC) is frequently requested by physicians to obtain information about a patient s blood status, and tests are routinely

More information