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Cited by 688

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

New Comprehensive Cytogenetic Scoring System for Primary Myelodysplastic Syndromes (MDS) and Oligoblastic Acute Myeloid Leukemia After MDS Derived From an International Database Merge

Open access
Schanz, Julie, Tüchler, Heinz, Solé, Francesc, Mallo, Mar, Luño, Elisa, Cervera, José, Granada, Isabel, Hildebrandt, Barbara, Slovak, Marilyn L., Ohyashiki, Kazuma, Steidl, Christian, Fonatsch, Christa, Pfeilstöcker, Michael, Nösslinger, Thomas, Valent, Peter, Giagounidis, Aristoteles, Aul, Carlo, Lübbert, Michael, Stauder, Reinhard, Krieger, Otto, Garcia-Manero, Guillermo, Faderl, Stefan, Pierce, Sherry, Le Beau, Michelle M., Bennett, John M., Greenberg, Peter, Germing, Ulrich, Haase, Detlef·2012·Journal of Clinical Oncology

Abstract

Purpose: The karyotype is a strong independent prognostic factor in myelodysplastic syndromes (MDS). Since the implementation of the International Prognostic Scoring System (IPSS) in 1997, knowledge concerning the prognostic impact of abnormalities has increased substantially. The present study proposes a new and comprehensive cytogenetic scoring system based on an international data collection of 2,902 patients. Patients and Methods: Patients were included from the German-Austrian MDS Study Group (n = 1,193), the International MDS Risk Analysis Workshop (n = 816), the Spanish Hematological Cytogenetics Working Group (n = 849), and the International Working Group on MDS Cytogenetics (n = 44) databases. Patients with primary MDS and oligoblastic acute myeloid leukemia (AML) after MDS treated with supportive care only were evaluated for overall survival (OS) and AML evolution. Internal validation by bootstrap analysis and external validation in an independent patient cohort were performed to confirm the results. Results: In total, 19 cytogenetic categories were defined, providing clear prognostic classification in 91% of all patients. The abnormalities were classified into five prognostic subgroups (P < .001): very good (median OS, 61 months; hazard ratio [HR], 0.5; n = 81); good (49 months; HR, 1.0 [reference category]; n = 1,809); intermediate (26 months; HR, 1.6; n = 529); poor (16 months; HR, 2.6; n = 148); and very poor (6 months; HR, 4.2; n = 187). The internal and external validations confirmed the results of the score. Conclusion: In conclusion, these data should contribute to the ongoing efforts to update the IPSS by refining the cytogenetic risk categories.

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Metadata

Authors
Schanz, J., Tüchler, H., Solé, F., Mallo, M., Luño, E., Cervera, J., Granada, I., Hildebrandt, B., Slovak, M. L., Ohyashiki, K., Steidl, C., Fonatsch, C., Pfeilstöcker, M., Nösslinger, T., Valent, P., Giagounidis, A., Aul, C., Lübbert, M., Stauder, R., Krieger, O., Garcia-Manero, G., Faderl, S., Pierce, S., Le Beau, M. M., Bennett, J. M., Greenberg, P., Germing, U., & Haase, D.
Venue
Journal of Clinical Oncology
Published
2012-03-10
Volume
30
Issue
8
Pages
820-829
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2169476614
Cited by
688
References
30
FWCI
41.68
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: New Comprehensive Cytogenetic Scoring System for Primary Myelodysplastic Syndromes (MDS) and Oligoblastic Acute Myeloid Leukemia After MDS Derived From an International Database Merge. https://app.cochat.ai/papers/10.1200/jco.2011.35.6394
The paper
Schanz, J., Tüchler, H., Solé, F., Mallo, M., Luño, E., Cervera, J., Granada, I., Hildebrandt, B., Slovak, M. L., Ohyashiki, K., Steidl, C., Fonatsch, C., Pfeilstöcker, M., Nösslinger, T., Valent, P., Giagounidis, A., Aul, C., Lübbert, M., Stauder, R., . . . Haase, D. (2012). New Comprehensive Cytogenetic Scoring System for Primary Myelodysplastic Syndromes (MDS) and Oligoblastic Acute Myeloid Leukemia After MDS Derived From an International Database Merge. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2011.35.6394

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.