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ANALYSIS OF PROGNOSTIC MARKERS IN 615 PATIENTS WITH THERAPY-RELATED MYELODYSPLASTIC SYNDROMES - ARE CURRENTLY AVAILABLE SCORING SYSTEMS SUITABLE IN THIS PATIENT GROUP?
Author(s): ,
Andrea Kuendgen
Affiliations:
Hematology, Oncology, and Clinical Immunology,Heinrich-Heine-University Hospital,D?sseldorf,Germany
,
Heinz T?chler
Affiliations:
Boltzmann Institute for Leukemia Research,Hanusch Hospital,Vienna,Austria
,
Meritxell Nomdedeu
Affiliations:
Hematology,Hospital Cl?nic,Barcelona,Spain
,
Richard F Schlenk
Affiliations:
Department of Internal Medicine III,University Hospital Ulm,Ulm,Germany
,
Xavier Calvo
Affiliations:
Hematology,Hospital del Mar,Barcelona,Spain
,
Sabine Blum
Affiliations:
Hematology,University Lausanne,Lausanne,Switzerland
,
Arturo Pereira
Affiliations:
Hematology,Hospital Cl?nic,Barcelona,Spain
,
Peter Valent
Affiliations:
Department of Internal Medicine I,Medical University of Vienna,Vienna,Austria
,
Dolors Costa
Affiliations:
Hematology,Hospital Cl?nic,Barcelona,Spain
,
Aristoteles Giagounidis
Affiliations:
Hematology and Oncology,Marienhospital,D?sseldorf,Germany
,
Luis Benlloch
Affiliations:
Hematology,Hospital Universitario y Polit?cnico La Fe,Valencia,Spain
,
Uwe Platzbecker
Affiliations:
Hematology and Oncology,University of Dresden,Dresden,Germany
,
Carmen Pedro
Affiliations:
Hematology,Hospital del Mar,Barcelona,Spain
,
Michael L?bbert
Affiliations:
Hematology and Oncology,University of Freiburg Medical Center,Freiburg,Germany
,
Maria Teresa Cedena
Affiliations:
Hematology,Hospital Universitario 12 de Octubre,Madrid,Spain
,
Sigrid Machherndl-Spandl
Affiliations:
Department of Hematology, Stem Cell Transplantation, Haemostaseology and Internal Oncology,KH Elisabethinen,Linz,Austria
,
Maria L?pez-Pav?a
Affiliations:
Hematology,Hospital Universitario y Polit?cnico La Fe,Valencia,Spain
,
Detlef Haase
Affiliations:
Hematology and Oncology,University Medicine of Goettingen,G?ttingen,Germany
,
Ana Afrika Martin
Affiliations:
Hematology,Hospital Universitario de Salamanca,Salamanca,Spain
,
Claudia D Baldus
Affiliations:
Department of Hematology and Oncology,Campus Benjamin Franklin,Berlin,Germany
,
Montserrat Mart?nez de Sola
Affiliations:
Hematology,Hospital Parc Taul?,Sabadell,Spain
,
Reinhard Stauder
Affiliations:
Internal Medicine,Innsbruck Medical University,Innsbruck,Austria
,
Brayan Marcel Merchan
Affiliations:
Hematology,University Hospital Vall d'Hebron,Barcelona,Spain
,
Claudia Mende
Affiliations:
Hematology, Oncology, and Clinical Immunology,Heinrich-Heine-University Hospital,D?sseldorf,Germany
,
Maria Teresa Ardanaz
Affiliations:
Hematology,Hospital de Txagorritxu,Vitoria,Germany
,
Christina Ganster
Affiliations:
Hematology and Oncology,University Medicine of Goettingen,G?ttingen,Germany
,
Francesc Cobo
Affiliations:
Hematology,Hospital Teknon,Barcelona,Spain
,
Thomas Schroeder
Affiliations:
Hematology, Oncology, and Clinical Immunology,Heinrich-Heine-University Hospital,D?sseldorf,Germany
,
Jordi Esteve
Affiliations:
Hematology,Hospital Cl?nic,Barcelona,Spain
,
Rainer Haas
Affiliations:
Hematology, Oncology, and Clinical Immunology,Heinrich-Heine-University Hospital,D?sseldorf,Germany
,
Benet Nomdedeu
Affiliations:
Hematology,Hospital Cl?nic,Barcelona,Spain
,
Ulrich Germing
Affiliations:
Hematology, Oncology, and Clinical Immunology,Heinrich-Heine-University Hospital,D?sseldorf,Germany
Guillermo F Sanz
Affiliations:
Hematology,Hospital Universitario y Polit?cnico La Fe,Valencia,Spain
(Abstract release date: 05/21/15) EHA Library. Kündgen A. 06/13/15; 103215; S508 Disclosure(s): Heinrich-Heine-University Hospital
Hematology, Oncology, and Clinical Immunology
Andrea Kündgen
Andrea Kündgen
Contributions
Abstract
Abstract: S508

Type: Oral Presentation

Presentation during EHA20: From 13.06.2015 16:15 to 13.06.2015 16:30

Location: Room C1

Background

Prognostication in myelodysplastic syndromes (MDS) has recently been improved by the revised International Prognostic Scoring System (IPSS-R). However this score, as the original IPSS, was developed analyzing primary, untreated patients (pts) only. Data on its usefulness in pts with therapy-related MDS (tMDS) is limited.



Aims
We analyzed 615 pts from Spanish, German, Swiss, and Austrian centers diagnosed 1975-2015. 

Methods

Complete data to calculate the IPSS/-R was available in 446 pts. Prognostic impact of features was analyzed by uni- and multivariable models and estimated by a measure of concordance for censored data (Dxy).



Results

: Median age was 67 years. According to WHO classification 2% of pts had 5q-syndrome, 6% RA, 3% RARS, 27% RCMD, 9% RCMD-RS, 16% RAEB-1, 18% RAEB-2, 6% CMML-1, 2% CMML-2, 3% MDS-U, and 8% AML (RAEB-T). Cytogenetics were 47% good, 14% intermediate, and 39% poor according to IPSS, and 2% very good, 44% good, 17% intermediate, 16% poor, and 21% very poor according to IPSS-R. Regarding prognostic risk groups 19% exhibited IPSS-low, 33% int-1, 30% int-2, and 18% high, while the IPSS-R was very low in 8%, low in 26%, intermediate in 16%, high in 22%, and very high in 27%.

Regarding the primary disease most frequent diagnoses were NHL 19%, breast cancer 16%, myeloma 10%, Hodgkin’s disease, and AML 6% each. 75% of pts received chemotherapy and 47% received radiotherapy. Most pts received combination regimen containing alkylating agents in 59%, topoisomerase inhibitors in 35%, antitubulin agents in 28%, and antimetabolites in 38%. Latency periods varied broadly (≤3 yrs 22%, >3-≤6 yrs 26%, >6-≤12 yrs 31%, >12 yrs 21%).

Median follow-up from MDS diagnosis was 56 months, median survival 17 months. After MDS diagnosis 30% of pts received disease altering treatment, including stem cell transplantation in 17%.

Features with influence on survival and time to AML in univariable analysis included age, FAB, WHO, IPSS, IPSS-R, cytogenetic risk, platelets, marrow and peripheral blasts, ferritin, fibrosis, year of primary diagnosis. Predominantly influence on survival was seen for year of MDS diagnosis, hemoglobin, LDH, and use of alkylating agents. A latency period >12 years showed higher risk of AML. Neutrophil count, use of chemo or radiotherapy as well as other chemotherapeutic agents had no influence on both outcomes.

Our results indicate that both the IPSS (Dxy 0.26 for survival, 0.35 for AML), and IPSS-R (Dxy 0.32 for both) perform moderately in tMDS, but not as well as in primary MDS. Adjusting prognostic models to tMDS seems therefore required. Score versions including peripheral blasts perform somewhat better. Separate score versions for survival and time to AML would give differing weights to most features. Hemoglobin and cytogenetics would get more weight for survival, while marrow blasts would be more important regarding AML. Another issue is the possible integration of data on primary disease/therapy.



Summary
In contrast to early publications on tMDS, where aberrant cytogenetics were described in >90% of pts and prognosis was seen uniformly poor, surprisingly we find good risk karyotypes in a relatively large number. Although some cases might be unrelated to previous therapy and poor risk cytogenetics are still overrepresented, this indicates, different types of tMDS exist. Our analysis shows that indeed many variables exhibit a prognostic influence in tMDS. About one third of our pts were treated for MDS. However, censoring/leaving them out would not show a representative cohort. Further analyses are performed to propose an optimized scoring system for tMDS.

Keyword(s): Myelodysplasia, Prognostic factor



Session topic: MDS Clinical
Abstract: S508

Type: Oral Presentation

Presentation during EHA20: From 13.06.2015 16:15 to 13.06.2015 16:30

Location: Room C1

Background

Prognostication in myelodysplastic syndromes (MDS) has recently been improved by the revised International Prognostic Scoring System (IPSS-R). However this score, as the original IPSS, was developed analyzing primary, untreated patients (pts) only. Data on its usefulness in pts with therapy-related MDS (tMDS) is limited.



Aims
We analyzed 615 pts from Spanish, German, Swiss, and Austrian centers diagnosed 1975-2015. 

Methods

Complete data to calculate the IPSS/-R was available in 446 pts. Prognostic impact of features was analyzed by uni- and multivariable models and estimated by a measure of concordance for censored data (Dxy).



Results

: Median age was 67 years. According to WHO classification 2% of pts had 5q-syndrome, 6% RA, 3% RARS, 27% RCMD, 9% RCMD-RS, 16% RAEB-1, 18% RAEB-2, 6% CMML-1, 2% CMML-2, 3% MDS-U, and 8% AML (RAEB-T). Cytogenetics were 47% good, 14% intermediate, and 39% poor according to IPSS, and 2% very good, 44% good, 17% intermediate, 16% poor, and 21% very poor according to IPSS-R. Regarding prognostic risk groups 19% exhibited IPSS-low, 33% int-1, 30% int-2, and 18% high, while the IPSS-R was very low in 8%, low in 26%, intermediate in 16%, high in 22%, and very high in 27%.

Regarding the primary disease most frequent diagnoses were NHL 19%, breast cancer 16%, myeloma 10%, Hodgkin’s disease, and AML 6% each. 75% of pts received chemotherapy and 47% received radiotherapy. Most pts received combination regimen containing alkylating agents in 59%, topoisomerase inhibitors in 35%, antitubulin agents in 28%, and antimetabolites in 38%. Latency periods varied broadly (≤3 yrs 22%, >3-≤6 yrs 26%, >6-≤12 yrs 31%, >12 yrs 21%).

Median follow-up from MDS diagnosis was 56 months, median survival 17 months. After MDS diagnosis 30% of pts received disease altering treatment, including stem cell transplantation in 17%.

Features with influence on survival and time to AML in univariable analysis included age, FAB, WHO, IPSS, IPSS-R, cytogenetic risk, platelets, marrow and peripheral blasts, ferritin, fibrosis, year of primary diagnosis. Predominantly influence on survival was seen for year of MDS diagnosis, hemoglobin, LDH, and use of alkylating agents. A latency period >12 years showed higher risk of AML. Neutrophil count, use of chemo or radiotherapy as well as other chemotherapeutic agents had no influence on both outcomes.

Our results indicate that both the IPSS (Dxy 0.26 for survival, 0.35 for AML), and IPSS-R (Dxy 0.32 for both) perform moderately in tMDS, but not as well as in primary MDS. Adjusting prognostic models to tMDS seems therefore required. Score versions including peripheral blasts perform somewhat better. Separate score versions for survival and time to AML would give differing weights to most features. Hemoglobin and cytogenetics would get more weight for survival, while marrow blasts would be more important regarding AML. Another issue is the possible integration of data on primary disease/therapy.



Summary
In contrast to early publications on tMDS, where aberrant cytogenetics were described in >90% of pts and prognosis was seen uniformly poor, surprisingly we find good risk karyotypes in a relatively large number. Although some cases might be unrelated to previous therapy and poor risk cytogenetics are still overrepresented, this indicates, different types of tMDS exist. Our analysis shows that indeed many variables exhibit a prognostic influence in tMDS. About one third of our pts were treated for MDS. However, censoring/leaving them out would not show a representative cohort. Further analyses are performed to propose an optimized scoring system for tMDS.

Keyword(s): Myelodysplasia, Prognostic factor



Session topic: MDS Clinical

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