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MDS (Myelodysplastic syndromes)/MPN (Myeloproliferative neoplasms)
Prognosis and treatment
November 4th 2011, Paris
Reinhard STAUDER MD, MSc, Associate ProfessorDepartment of Internal Medicine V (Hematology & Oncology)
Medical University Innsbruck, Austriareinhard.stauder@i‐med.ac.at
Blood cancer is a typical disease of elderly
Subtype / median age at diagnosis (~yrs)Myelodysplastic syndromes 75 Acute myeloid leukemia 70Multiple myeloma 70Diffuse large B‐cell lymphoma 70 Chronic lymphocytic leukemia 70Myeloproliferative neoplasms(PMF 67, ET 60, CML 50)
SEER Cancer Statistics Review, http://seer.cancer.gov/csr/1975_2008/index.html and Tumor registry Tyrol, www.iet.at
Myeloid neoplasmsWHO‐Classification 2008
Acute myloid leukemia (AML) Myelodysplastic Syndromes (MDS) Myeloproliferative neoplasms (MPN) Myelodysplastic/Myeloproliferative syndromes
Swerdlow et al., 2008
MDS ‐ Characteristics
Dysplastic hamatopoiesis
Ineffective hamatopoiesis cytopenia one or several cell lines
Potential to transform to AML (acute myeloid leukemia)
IPSS GroupIPSS
Total Score
Survival(median; yrs)
25% AML evolution (yrs)
Age at diagnosis Age at diagnosis70yrs >70yrs 70yrs >70yrs
Low 0 9 3,9 >9,4 (NR) >5,8 (NR)Intermediate-1 0,5-1,0 4,4 2,4 5,5 2,2
Intermediate-2 1,5-2 1,3 1,2 1,0 1,4
High ≥2,5 0,4 0,4 0,2 0,4Greenberg et al., 1997
Prognostic variableScore value
0 0,5 1 1,5 2,0
Bone marrow blasts (%) <5 5-10 .... 11-20 21-30
Karyotype 1 Good Intermediate Poor
Cytopenia 2 0/1 2/31 Karyotype: Good: Normal, Y-, 5q-, 20q-; Intermediate: All other; Poor: Chr. 7 aberration and/or ≥3 aberrations.2 Cytopenia: Hb<100 G/l; neutrophil count <1,8 G/l; platelet count < 100 G/l
The risk score IPSS (International prognostic scoring system)
Hematological malignancies in elderly ‐ Items
Demographic analyses & description of “real life” (in registries) beyond euphemistic situation in clinical studies.
Use appropriate statistical methods.
Individualize treatment based on age‐adjusted life expectancy, geriatric assessment & patients´ expectations (biological age).
Develop recommendations & guidelines for elderly. Address renal, cardiac and cognitive impairment and neuropathy.
Perform clinical studies in elderly & in non‐fit.
Propagate the fair treatment for all elderly cancer patients!
EU‐MDS Registry
Prospective European Leukemia Net (ELN) registry of newly diagnosed IPSS low‐risk & Int‐1 risk MDS
14 European countries
Goal > 1000 patients
Several scores are applied to assess performance status, comorbidities and QoL
Median age at diagnosis is ~75yrs
Abstracts: ASH 2009 de Witte et al.EHA 2010 Bowen et al., Stauder et al.ASH 2010 Bowen et al., de Swart et al., Stauder et al.,
020
4060
Freq
uenc
y
20 40 60 80 100Age at Diagnosis (years)EU-MDS Registry
Evaluation of HR‐QoL by EQ‐5D
www.euroqol.org
EQ-5D Descriptive System by Age at Diagnosis
EQ‐5D Dimension n (%)
Age at Diagnosis (Years) Total 18‐29 30‐39 40‐49 50‐59 60‐69 70‐79 80+ Total 1 (0.4) 1 (0.1) 20 (2.3) 74 (8.6) 149 (22.5) 349 (40.5) 220 (25.6) 861 (100)
Mobility Level 1 3 (100) 1 (100) 17 (85.0) 55 (74.3) 133 (85.9) 192 (55.0) 92 (41.9) 493 (57.3)
Level 2 ‐ ‐ 3 (15.0) 19 (25.7) 60 (30.9) 155 (44.4) 127 (57.3) 364 (42.3) χ2=50.8p<0.0001
Level 3 ‐ ‐ ‐ ‐ 1 (0.5) 2 (0.6) 1 (0.5) 4 (0.5)
Self‐Care Level 1 3 (100) 1 (100) 20 (100) 70 (95.6) 184 (94.9) 292 (83.7) 177 (80.5) 747 (86.8)
Level 2 ‐ ‐ ‐ 4 (5.4) 8 (4.1) 53 (15.2) 38 (17.3) 103 (12.0) χ2=30.7p=0.002
Level 3 ‐ ‐ ‐ ‐ 2 (1.0) 4 (1.2) 5 (2.3) 11 (1.3)
Usual Activities Level 1 3 (100) 1 (100) 14 (70.0) 47 (63.5) 150 (77.3) 221 (63.3) 123 (55.9) 559 (64.9)
Level 2 ‐ ‐ 6 (30.0) 22 (29.7) 42(21.7) 106 (30.4) 81 (36.8) 257 (29.9) χ2=28.2p=0.005
Level 3 ‐ ‐ ‐ 5 (6.7) 2 (1.0) 22 (6.3) 16 (7.3) 45 (5.2)
Pain/ Discomfort Level 1 3 (100) 1 (100) 13 (65.0) 43 (58.9) 115 (59.6) 168 (48.0) 83 (37.7) 426 (49.5)
Level 2 ‐ ‐ 6 (30.0) 26 (35.6) 73 (37.8) 166 (47.4) 122 (55.5) 393 (45.7) χ2=30.7p=0.002
Level 3 ‐ ‐ 1 (5.5) 4 (5.5) 5 (2.6) 16 (4.6) 15 (6.8) 41 (4.8)
Anxiety/ Depression Level 1 3 (0.8) 1 (100) 12 (60.0) 41 (55.4) 117 (60.3) 210 (60.2) 133 (60.5) 517 (60.1)
Level 2 ‐ ‐ 8 (40.0) 28 (37.8) 72 (37.1) 123 (35.2) 78 (35.5) 309 (35.9) χ2=6.7p=0.88
Level 3 ‐ ‐ ‐ 5 (6.8) 5 (2.6) 16 (4.6) 9 (4.1) 35 (4.1)
Hematological malignancies in elderly ‐ Items
Demographic analyses & description of “real life” (in registries) beyond euphemistic situation in clinical studies.
Use appropriate statistical methods.
Individualize treatment based on age‐adjusted life expectancy, geriatric assessment & patients´ expectations (biological age).
Develop recommendations & guidelines for elderly. Address renal, cardiac and cognitive impairment and neuropathy.
Perform clinical studies in elderly & in non‐fit.
Propagate the fair treatment for all elderly cancer patients!
Survival in MDS subgroups
Nösslinger et al., Ann Oncol 2010
Dotted lines represent an age‐ and sex‐matchednon‐MDS population
Hematological malignancies in elderly ‐ Items
Demographic analyses & description of “real life” (in registries) beyond euphemistic situation in clinical studies.
Use appropriate statistical methods.
Individualize treatment based on age‐adjusted life expectancy, geriatric assessment & patients´ expectations (biological age).
Develop recommendations & guidelines for elderly. Address renal, cardiac and cognitive impairment and neuropathy.
Perform clinical studies in elderly & in non‐fit.
Propagate the fair treatment for all elderly cancer patients!
Age‐adjusted life expectancy
Remaining life years at a given age x
Age x Female Male
0 82.7 77.3
60 24.9 21.0
70 16.4 13.6
80 9.0 7.5
85 6.2 5.4
90 4.2 3.7
100 1.7 1.6
Statistics Austria 2006
Cancer in elderly ‐ individualized therapy
TREATMENT DECISION
SEED DISEASE
BiologyStagingGrading
Risk factor Predictive factor(for response, tolerance) Response parameter
SOIL PATIENT
Age, SexFunctionPerformanceComorbiditiesCognitionSocial supportNutritional statusQoL (Quality of life)
Hematopoietic Cell Transplantation Comorbidity Index (HCT‐CI)COMORBIDITY SCORE
Coronary artery disease,congestive heart failure,myocardial infarction, or EF ≤ 50% 1
Atrial fibrillation or flutter; Sick sinus syndrome, or ventricular arrhythmias 1
Heart valve disease (except mitral valve prolapse) 3
Cerebrovascular diesease 1
Mild pulmonary 0
Moderate pulmonary 2
Severe pulmonary 3
Hepatic, mild 1
Hepatic, moderate/severe 3
Moderate/severe renal 2
Prior solid tumour 3
Diabetes 1
Rheumatologic 2
Peptic ulcer 2
Inflammatory bowel disease 1
Obesity 1
Infection 1
Psychiatric disturbance 1
Total Score: 0...low; 1‐2...intermediate; ≥ 3...high risk Sorror et al.; Blood, 2005
Sorror Score of Co‐morbidity
AUCZ
FR
GE
GR
ND
RO
SPSW
UK
0.5
11.
52
2.5
33.
54
Mea
n S
orro
r Sco
re
Mean Score 2.4, median 2, range (0 to 11)(0...low risk; 1-2...intermediate risk; ≥ 3...high risk) EU-MDS Registry
Comorbidity as Prognostic Variable in MDS
ScoreOverall survival (OS)
Event‐free survival (ES)
AML‐freeSurvival(AFS)
HCT‐CIUnivariat P<0.05 P<0.05 n.s.
Multivariat P<0.05 P<0.05 n.s.W. Sperr et al., Ann. Oncology, 2009
Comorbidities arean independentprognostic factorfor OS and EFS in univariate and in multivariate analyses.
Comparative Evaluation of the HCT‐CI and CCI in a Core Data Set of 419 Patients of the Austrian MDS Platform.
Impact of comorbidities in MDS
1708 SEER MDS patients ≥65 yrscm significant in uni‐ and multivariateMost relevant myocardial infarction and COPD
Wang R. et al., Leuk. Research 2009
ACE‐27 MDACC* MDS Score (n=600, retrospective )
Comorbidities %Survival median(months)
None 23 32
Mild 42 17
Moderate 21 15
Severe 14 10
ComorbiditySignificance
for OS
Cardiovascular .0001
Malignancy .0001
Renal .02
Gastrointestinal .05
Endocrine .07
Multivariate model
Parameter Score
Age 2
Comorbiditiesmildmoderatesevere
13
IPSSInt‐2High
23
*MDACC (MD Anderson Cancer Center) Garcia‐Manero et al., # 605; ASH 2010 & JCO 2011
No correlation with leukemia transformation
Hematological malignancies in elderly ‐ Items
Demographic analyses & description of “real life” (in registries) beyond euphemistic situation in clinical studies.
Use appropriate statistical methods.
Individualize treatment based on age‐adjusted life expectancy, geriatric assessment & patients´ expectations (biological age).
Develop recommendations & guidelines for elderly. Address renal, cardiac and cognitive impairment and neuropathy.
Perform clinical studies in elderly & in non‐fit.
Propagate the fair treatment for all elderly cancer patients!
ESA(Lenalidomid1)
Treatment options in senior low‐risk MDS (IPSS Low‐grade und Intermediate I)
Symptomatic anaemia, granulopenia, thrombopenia
ESA ± G‐CSF (RARS)
CyA (ATG)
Valproic‐acid
Del(5q)
Supportive therapy including transfusions& iron‐chelation
EPO < 500 U/l and/or low
transfusion need 2
EPO ≥ 500 U/land/or high
transfusion need 2
Hypoplastic MDS
HLA‐DR15 3
1 MDS approval so far only by FDA; EMEA approval is pending. Thalidomid?2 Based on predictive model (Nordic score)3 Response more frequent in younger patients, in hypoplastic MDS and in HLADR‐15. 4 5‐Azacytidine EMEA approval for high‐risk MDS & CMML. Might be effective in low risk MDS even in granulopenia and thrombopenia. Is analysed in clinical studies. Has replaced LDARA‐C & LD Melphalan.ATG, anti‐thymocyte globulin; CMML, Chronic myelomonocytic leukemia; ESA, erythropoiesis‐stimulating agent; CyA, Cyclosporin‐A
(5‐Azacytidine4)(Lenalidomid1)
Stauder & Wolf, ESMO Handbook of Cancer in the Senior Patient, 2010
No
Donor
RIC‐HSCT2AML‐like induction/consolidation
or 5‐Azacytidine
Intensive therapy 1
Yes
5‐Azacytidine3or Clinical study
or BSC4
No Donor
1 Depending on age, performance status, comorbidities, feasability, karyotype and patient preference. 2 Upper age limits applied are 50‐55yrs for myeloablative HSCT (hamatopoietic stem‐cell transplantation ) and 65‐70yrs for RIC‐HSCT (reduced intensity conditioning HSCT)3 5‐Azacytidine represents the treatment of choice in elderly patients who are not eligible for intensive therapieslike AML‐induction or HSCT. AZA is effective even in unfavourable karyotype like monosomy 7 or complex aberrations. 4 BSC (best supportive care).
Stauder & Wolf, ESMO Handbook of Cancer in the Senior Patient, 2010
Treatment options in senior high‐risk MDS (IPSS Intermediate II und High grade)
Hematological malignancies in elderly ‐ Items
Demographic analyses & description of “real life” (in registries) beyond euphemistic situation in clinical studies.
Use appropriate statistical methods.
Individualize treatment based on age‐adjusted life expectancy, geriatric assessment & patients´ expectations (biological age).
Develop recommendations & guidelines for elderly. Address renal, cardiac and cognitive impairment and neuropathy.
Perform clinical studies in elderly & in non‐fit.
Propagate the fair treatment for all elderly cancer patients!
Azacitidine (Vidaza)Phase III, AZA‐001
Fenaux et al., Lancet Oncol, 2009
Hematological malignancies in elderly ‐ Items
Demographic analyses & description of “real life” (in registries) beyond euphemistic situation in clinical studies.
Use appropriate statistical methods.
Individualize treatment based on age‐adjusted life expectancy, geriatric assessment & patients´ expectations (biological age).
Develop recommendations & guidelines for elderly. Address renal, cardiac and cognitive impairment and neuropathy.
Perform clinical studies in elderly & in non‐fit.
Propagate the fair treatment for all elderly cancer patients!
www.senioren‐krebshilfe.at
Kontaktreinhard.stauder@i‐med.ac.at