https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&term=Maria+Angela+Mura%5Bauthor%5D&datetype=edat&usehistory=y&retmax=1&tool=Litmetric&email=readroberts32@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&WebEnv=MCID_67957a93732164eb830d9a1b&query_key=1&retmode=xml&retstart=-10&retmax=25&tool=Litmetric&email=readroberts32@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09 Publications by Maria Angela Mura | LitMetric

Publications by authors named "Maria Angela Mura"

Acute promyelocytic leukaemia (APL) is a hematologic malignancy characterized by the rearrangement of the PML and RARα genes, mostly due to a reciprocal chromosomal translocation t(15;17)(q24;q21). A quick APL diagnosis is essential for starting a prompt suitable therapy. We describe a new rapid diagnostic laboratory approach to detect the PML-RARα rearrangement, which gives clear genetic results within 30 min of hybridization.

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In a phase II trial, we evaluated chlorambucil and rituximab (CLB-R) as first-line induction treatment with or without R as maintenance for elderly chronic lymphocytic leukemia (CLL) patients. Treatment consisted of eight 28-day cycles of CLB (8 mg/m(2) /day, days 1-7) and R (day 1 of cycle 3, 375 mg/m(2) ; cycles 4-8, 500 mg/m(2) ). Responders were randomized to 12 8-week doses of R (375 mg/m(2) ) or observation.

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Background: New prognostic factors such as IgVh mutational status, ZAP-70 protein expression and cytogenetic abnormalities have shown to offer important prognostic information for patients with chronic lymphocytic leukemia (CLL). Our aim was to evaluate the optimal cut-off for IgVh mutational status, ZAP-70 expression and cytogenetic abnormalities in association with disease progression defined as the need for treatment within 3~years from diagnosis in 170 patients with B-CLL.

Design And Methods: Receiver operating characteristics (ROC) analysis and multivariate general linear models (GLMs) were used to investigate the most significant cut-off values of these biomarkers and their prognostic impact.

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