Stefano Molica

Prof. Stefano Molica

Azienda Ospedaliera Pugliese-Ciaccio, Viale Pio X - 88100 Catanzaro, Italy
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Research Focus & Metrics

Academic Career Length

37Years (1990-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2002 in Blood
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Journal Article
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Stefano MolicaStefano Molica
Stefano Molica
AVAngelo VACCA
Angelo VACCA
DRDomenico Ribatti
Domenico Ribatti
ACAntonio Cuneo
Antonio Cuneo
FCFrancesco CAVAZZINI
Francesco CAVAZZINI
FDFranco Dammacco
Franco Dammacco
Because tumor progression is angiogenesis-dependent, angiogenesis density was investigated by immunohistochemistry and computed image analysis in bone marrow (BM) biopsies of 45 newly diagnosed patients with Binet stage A B-cell chronic lymphocytic leukemia (BCLL) and correlated to upstaging and progression-free survival during a 40-month follow-up period. Their microvessel areas and counts were significantly higher than those of patients with anemia due to iron or vitamin B12deficiencies. A cutoff value of 0.90 mm2 × 10−2 or greater of the microvessel area identified patients with earlier upstaging and shorter progression-free survival. When the cutoff was applied to the Rai subclassification, both Rai 0 and Rai I-II patients who upstaged and shortened the progression-free survival were classified correctly. Information of this type was not given by the microvessel counts. The cutoff did not correlate with other predictors representative of tumor mass or disease progression. The microvessel area correlated with the expression of angiogenic vascular endothelial growth factor (VEGF) by tumor tissue, and serum levels of VEGF were found to be of prognostic value. A causal relationship between risk of progression and BM angiogenesis in BCLL is suggested. A risk stratification inside Rai is proposed. The prognostic usefulness of BM angiogenesis in patients with BCLL is envisaged.

1 January 2006 in Leukemia & Lymphoma
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Journal Article
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Stefano MolicaStefano Molica
Stefano Molica
Observational studies have consistently reported a reduced incidence and superior survival for female patients with chronic lymphocytic leukemia (CLL). These results were corroborated by different national cancer database reports and confirmed in recent prospective trials. Whether improved survival for women is attributable to increased comorbidities in men, better response and/or tolerance of therapy in women or an intrinsic difference in the molecular biology of the disease (or a combination thereof) is unknown. It is through prospective trials that evaluate known molecular, genetic and clinical prognostic predictors that one will better understand these differences and determine whether treatment should be tailored to biological clinical profiles or more to sex.

27 July 2016 in American Journal of Hematology
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Journal Article
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Stefano MolicaStefano Molica
Stefano Molica
TSTait D. Shanafelt
Tait D. Shanafelt
DGDiana Giannarelli
Diana Giannarelli
MGMassimo Gentile
Massimo Gentile
RMRosanna Mirabelli
Rosanna Mirabelli
FMFortunato Morabito
Fortunato Morabito
The chronic lymphocytic leukemia International Prognostic Index (CLL‐IPI) combines 5 parameters (age, clinical stage, TP53 status [normal vs. del(17p) and/or TP53 mutation], IGHV mutational status, serum β2‐microglobulin) to predict survival and time‐to‐first‐treatment (TTFT) in CLL patients. We performed an observational study in 337 prospectively collected, Binet stage A patients to validate the ability of the CLL‐IPI to predict TTFT in an independent cohort of early stage CLL patients. The CLL‐IPI score stratified Binet stage A patients into three subgroups with different outcome. Since the CLL‐IPI was originally developed to predict survival, we next investigated the optimal cut‐off score to predict TTFT in Binet stage A patients. Recursive partitioning analysis identified three subsets with scores of 0 (n = 139), 1 (n = 90), and ≥ 2(n = 108). The probability of remaining free from therapy 5 years after diagnosis was 85%, 67% and 46% in these three categories (P < 0.0001.; C‐statistic:c = 0.72; 95% CI:0.58‐0.81). This optimized CLL‐IPI scoring for TTFT was subsequently validated in an independent cohort of Binet A patients from the Mayo Clinic (n = 525). The ability of either original or optimized CLL‐IPI to predict TTFT was equivalent to other prognostic models specifically designed for this endpoint (2011 MDACC score and O‐CLL1 score). Although originally developed to predict suvival, the CLL‐IPI is useful for predicting TTFT in early stage CLL patients. Am. J. Hematol. 91:1090–1095, 2016.

18 March 2013 in European Journal of Haematology
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LLLuciano Levato
Luciano Levato
RCRenato Cantaffa
Renato Cantaffa
MKMaria Grazia Kropp
Maria Grazia Kropp
DMDomenico Magro
Domenico Magro
EPEugenio Piro
Eugenio Piro
Stefano MolicaStefano Molica
Stefano Molica

2 June 2008 in Genes, Chromosomes and Cancer
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Journal Article
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SFSonia Fabris
Sonia Fabris
LMLaura Mosca
Laura Mosca
KTKatia Todoerti
Katia Todoerti
Giovanna CutronaGiovanna Cutrona
Giovanna Cutrona
MLMarta Lionetti
Marta Lionetti
Antonino NeriAntonino Neri
Antonino Neri

22 October 2010 in Haematologica
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Journal Article
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Stefano MolicaStefano Molica
Stefano Molica
Francesca Romana MauroFrancesca Romana Mauro
Francesca Romana Mauro
DGDiana Giannarelli
Diana Giannarelli
FLF. Lauria
F. Lauria
ACA. Cortelezzi
A. Cortelezzi
RFR. Foa
R. Foa
Optimal lymphocyte parameters and thresholds for the diagnosis of chronic lymphocytic leukemia have been proposed by The National Cancer Institute sponsored Working Group and recently updated by the International Workshop on chronic lymphocytic leukemia. However, it is not clear how these criteria apply to patient management in daily clinical practice and whether the lymphocyte thresholds recommended truly predict clinical outcome in early chronic lymphocytic leukemia. For the purpose of this study, an observational database of the GIMEMA (Gruppo Italiano Malattie Ematologiche dell'Adulto) which included 1,158 patients with newly diagnosed Binet stage A chronic lymphocytic leukemia who were observed at different primary hematology centers during the period 1991-2000, was used. Among 818 consecutive chronic lymphocytic leukemia patients with Rai stage 0 (i.e. no palpable lymphadenopathy or hepatosplenomegaly) who had flow cytometry evaluations at the time of diagnosis and were included in a GIMEMA database, both absolute lymphocyte count and B-cell count were of a similar value in predicting time to first treatment as continuous variables (P<0.0001). Receiver operating characteristic analysis identified an absolute lymphocyte count of 11.5×10(9)/L and an absolute B-cell count of 10.0×10(9)/L as the best thresholds capable of identifying patients who will require treatment from those with stable disease. However, in a Cox's multivariate analysis only the B-cell count retained its discriminating power (P<0.0001) and the estimated rate of progression to chronic lymphocytic leukemia requiring treatment among subjects with a B-cell count less than 10.0×10(9)/L was approximately 2.3% per year (95% CI 2.1-2.5%) while it was 2-fold higher for patients with a B-cell count of 10.0×10(9)/L or over (i.e. 5.2% per year; 95% CI 4.9-5.5%). Finally, in this community-based patient cohort, the B-cell threshold defined by investigators at the Mayo Clinic (i.e. 11.0×10(9)/L) allowed patients to be divided into two subsets with a higher and lower likelihood of treatment (P<0.0001). Our results, based on a retrospective patients' cohort, provide a clear justification to retain the B-cell count as the reference gold standard of chronic lymphocytic leukemia diagnosis and imply that a count of 10×10(9)/L B cells is the best lymphocyte threshold to predict time to first treatment. The use of clinical outcome to distinguish chronic lymphocytic leukemia from other premalignant conditions, such as monoclonal B-cell lymphocytosis, is a pragmatic approach meeting the patients' need to minimize the psychological discomfort of receiving a diagnosis of leukemia when the risk of adverse clinical consequences is low.