C. Cali
VU University Amsterdam
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Publication
Featured researches published by C. Cali.
Haematologica | 2012
Matteo G. Della Porta; Cristina Picone; Cristiana Pascutto; Luca Malcovati; Hideto Tamura; Hiroshi Handa; Magdalena Czader; Sylvie Freeman; Paresh Vyas; Anna Porwit; Leonie Saft; Theresia M. Westers; Canan Alhan; C. Cali; Kiyoyuki Ogata
Background The current World Health Organization classification of myelodysplastic syndromes is based morphological evaluation of bone marrow dysplasia. In clinical practice, the reproducibility of the recognition of dysplasia is usually poor especially in cases that lack specific markers such as ring sideroblasts and clonal cytogenetic abnormalities. Design and Methods We aimed to develop and validate a flow cytometric score for the diagnosis of myelodysplastic syndrome. Four reproducible parameters were analyzed: CD34+ myeloblast-related and B-progenitor-related cluster size (defined by CD45 expression and side scatter characteristics CD34+ marrow cells), myeloblast CD45 expression and granulocyte side scatter value. The study comprised a “learning cohort” (n=538) to define the score and a “validation cohort” (n=259) to confirm its diagnostic value. Results With respect to non-clonal cytopenias, patients with myelodysplastic syndrome had increased myeloblast-related cluster size, decreased B-progenitor-related cluster size, aberrant CD45 expression and reduced granulocyte side scatter (P<0.001). To define the flow cytometric score, these four parameters were combined in a regression model and the weight for each variable was estimated based on coefficients from that model. In the learning cohort a correct diagnosis of myelodysplastic syndrome was formulated in 198/281 cases (sensitivity 70%), while 18 false-positive results were noted among 257 controls (specificity 93%). Sixty-five percent of patients without specific markers of dysplasia (ring sideroblasts and clonal cytogenetic abnormalities) were correctly classified. A high value of the flow cytometric score was associated with multilineage dysplasia (P=0.001), transfusion dependency (P=0.02), and poor-risk cytogenetics (P=0.04). The sensitivity and specificity in the validation cohort (69% and 92%, respectively) were comparable to those in the learning cohort. The likelihood ratio of the flow cytometric score was 10. Conclusions A flow cytometric score may help to establish the diagnosis of myelodysplastic syndrome, especially when morphology and cytogenetics are indeterminate.
British Journal of Haematology | 2014
Canan Alhan; Theresia M. Westers; E.M.P. Cremers; C. Cali; Birgit I. Witte; Gert J. Ossenkoppele
The estimation of survival of myelodysplastic syndromes (MDS) and risk of progression into acute myeloid leukaemia is challenging due to the heterogeneous clinical course. The most widely used prognostic scoring system (International Prognostic Scoring System [IPSS]) was recently revised (IPSS‐R). The aim of this study was to investigate the prognostic relevance of flow cytometry (FC) in the context of the IPSS‐R. Bone marrow aspirates were analysed by FC in 159 patients with MDS. A flow score was calculated by applying the flow cytometric scoring system (FCSS). Patients were assigned to IPSS and IPSS‐R risk groups. The FCSS correlated with the World Health Organization classification, IPSS and IPSS‐R risk groups. Mild flow cytometric abnormalities were associated with significantly better overall survival (OS) and lower risk of disease evolution. The presence of aberrant myeloid progenitors was associated with transfusion dependency and disease progression. Most importantly, the FCSS identified prognostic subgroups within the IPSS‐R cytogenetic good risk and low risk group. Flow cytometric analysis in patients with MDS provides additional prognostic information and is complementary to the IPSS‐R. The addition of a flow cytometric score next to the clinical parameters within the IPSS‐R is a further refinement of prognostication of patients with MDS.
Leukemia | 2016
Canan Alhan; Theresia M. Westers; E.M.P. Cremers; C. Cali; Birgit I. Witte; G.J. Ossenkoppele; A.A. van de Loosdrecht
The prognosis of myelodysplastic syndromes (MDS) is currently estimated by using the revised International Prognostic Scoring System (IPSS-R). Several studies have shown that further refinement of prognostication for MDS can be achieved by adding flow cytometric parameters. However, widespread implementation of flow cytometry for the prognosis of MDS is hampered by complexity of the analysis. Therefore, the aim of this study was to construct a robust and practical flow cytometric score that could be implemented as a routine procedure. To achieve this, bone marrow aspirates of 109 MDS patients were analyzed by flow cytometry. A second cohort consisting of 103 MDS patients was used to validate the MDS flow cytometric score (MFS). The parameters forming the MFS were sideward light scatter and CD117 expression of myeloid progenitor cells and CD13 expression on monocytes. Three MFS risk categories were formed. Patients with MDS and intermediate MFS scores had significantly better overall survival (OS) compared with the patients with high MFS scores. The MFS further refined prognostication within the IPSS-R low-risk category, by identifying patients with worse OS in case of high MFS. In conclusion, a practical three parameter flow cytometric prognostic score was constructed enabling further refinement of prognostication of MDS.
Leukemia Research | 2011
Canan Alhan; Theresia M. Westers; Corien Eeltink; C. Cali; Geert A. Huls; G.J. Ossenkoppele; A.A. van de Loosdrecht
Leukemia Research | 2009
Canan Alhan; Theresia M. Westers; C. Cali; G.J. Ossenkoppele; A.A. van de Loosdrecht
Leukemia Research | 2009
Theresia M. Westers; Canan Alhan; Monique Terwijn; Y. Van der Veeken; C. Cali; Angèle Kelder; A. van Rhenen; Gerrit-Jan Schuurhuis; G.J. Ossenkoppele; A.A. van de Loosdrecht
Leukemia Research | 2015
P. Silva Coelho; E.M.P. Cremers; Theresia M. Westers; A.O. de Graaf; Canan Alhan; C. Cali; Heleen A. Visser-Wisselaar; Dana A. Chitu; Edo Vellenga; Saskia K. Klein; P. Wijermans; G.E. de Greef; Mcjc Legdeur; P. Muus; G.J. Ossenkoppele; Marian Stevens-Kroef; B.A. van der Reijden; J.H. Jansen; A.A. van de Loosdrecht
Leukemia Research | 2013
E.M.P. Cremers; Theresia M. Westers; Canan Alhan; Marielle Wondergem; C. Cali; C.W.M. Schouten; G.J. Ossenkoppele; A.A. van de Loosdrecht
Leukemia Research | 2013
Canan Alhan; Theresia M. Westers; E.M.P. Cremers; C. Cali; G.J. Ossenkoppele; A.A. van de Loosdrecht
Blood | 2013
E.M.P. Cremers; Theresia M. Westers; Canan Alhan; C. Cali; Heleen A. Visser-Wisselaar; Dana A. Chitu; Marian Stevens-Kroef; Pedro Silva Coelho; Edo Vellenga; Saskia K. Klein; Pierre W. Wijermans; Georgine E. de Greef; Martijn R. Schaafsma; M. Marwijk Kooy; Petra Muus; Gert J. Ossenkoppele; Joop H. Jansen