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Dive into the research topics where Maria Chiara Scaini is active.

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Featured researches published by Maria Chiara Scaini.


Proceedings of the National Academy of Sciences of the United States of America | 2009

Altered tumor formation and evolutionary selection of genetic variants in the human MDM4 oncogene

Gurinder Singh Atwal; Tomas Kirchhoff; Elisabeth E. Bond; Marco Montagna; Chiara Menin; Roberta Bertorelle; Maria Chiara Scaini; Frank Bartel; Anja Böhnke; Christina Pempe; Elise Gradhand; Steffen Hauptmann; Kenneth Offit; Arnold J. Levine; Gareth L. Bond

A large body of evidence strongly suggests that the p53 tumor suppressor pathway is central in reducing cancer frequency in vertebrates. The protein product of the haploinsufficient mouse double minute 2 (MDM2) oncogene binds to and inhibits the p53 protein. Recent studies of human genetic variants in p53 and MDM2 have shown that single nucleotide polymorphisms (SNPs) can affect p53 signaling, confer cancer risk, and suggest that the pathway is under evolutionary selective pressure (1–4). In this report, we analyze the haplotype structure of MDM4, a structural homolog of MDM2, in several different human populations. Unusual patterns of linkage disequilibrium (LD) in the haplotype distribution of MDM4 indicate the presence of candidate SNPs that may also modify the efficacy of the p53 pathway. Association studies in 5 different patient populations reveal that these SNPs in MDM4 confer an increased risk for, or early onset of, human breast and ovarian cancers in Ashkenazi Jewish and European cohorts, respectively. This report not only implicates MDM4 as a key regulator of tumorigenesis in the human breast and ovary, but also exploits for the first time evolutionary driven linkage disequilibrium as a means to select SNPs of p53 pathway genes that might be clinically relevant.


Lung Cancer | 2013

Survivin expression impacts prognostically on NSCLC but not SCLC

Antonio Rosato; Chiara Menin; Daniela Boldrin; Silvia Dalla Santa; Laura Bonaldi; Maria Chiara Scaini; Paola Del Bianco; Davide Zardo; Matteo Fassan; Rocco Cappellesso; Ambrogio Fassina

Survivin is expressed in lung cancer and in most cancer tissues and has a significant impact on prognosis. This work aimed to comparatively assess survivin expression and significance in Non-Small (NSCLC) and Small Cell Lung Cancers (SCLC). Sixty-five NSCLC and 35 SCLC samples were analyzed by semi-quantitative real-time RT-PCR. Survivin mRNA levels were significantly higher in tumors than in normal tissue, and in SCLC than in NSCLC samples. Immunohistochemistry and FISH analyses were performed in 59 and 26 tumor specimens, respectively. In SCLC survivin was only present in cytoplasm, while in some NSCLC cases it also showed nuclear or mixed patterns. FISH analysis did not disclose survivin gene amplification, except for one NSCLC case. Finally, 90 samples were genotyped for the -31G/C SNP of survivin promoter by direct sequencing; the -31G/C SNP genotype status showed a significant association only with nodal NSCLC metastasis, but not with survivin expression in any tumor group. A better prognosis was correlated to higher levels of survivin mRNA and to the presence of at least one G allele at -31 SNP in NSCLC, while these parameters did not correlate with overall survival in SCLC. Moreover, this SNP would appear to have no effect on the risk of lung cancer in our samples. The different prognostic role played by survivin in NSCLC and SCLC highlights the biological differences between these lung tumor histotypes and stresses the need to clarify the molecular pathways leading to their neoplastic transformation.


Human Mutation | 2014

CDKN2A Unclassified Variants in Familial Malignant Melanoma: Combining Functional and Computational Approaches for Their Assessment

Maria Chiara Scaini; Giovanni Minervini; Lisa Elefanti; Paola Ghiorzo; Lorenza Pastorino; Silvia Tognazzo; Simona Agata; Monica Quaggio; Daniela Zullato; Giovanna Bianchi-Scarrà; Marco Montagna; Emma D'Andrea; Chiara Menin

CDKN2A codes for two oncosuppressors by alternative splicing of two first exons: p16INK4a and p14ARF. Germline mutations are found in about 40% of melanoma‐prone families, and most of them are missense mutations mainly affecting p16INK4a. A growing number of p16INK4a variants of uncertain significance (VUS) are being identified but, unless their pathogenic role can be demonstrated, they cannot be used for identification of carriers at risk. Predicting the effect of these VUS by either a “standard” in silico approach, or functional tests alone, is rather difficult. Here, we report a protocol for the assessment of any p16INK4a VUS, which combines experimental and computational tools in an integrated approach. We analyzed p16INK4a VUS from melanoma patients as well as variants derived through permutation of conserved p16INK4a amino acids. Variants were expressed in a p16INK4a‐null cell line (U2‐OS) and tested for their ability to block proliferation. In parallel, these VUS underwent in silico prediction analysis and molecular dynamics simulations. Evaluation of in silico and functional data disclosed a high agreement for 15/16 missense mutations, suggesting that this approach could represent a pilot study for the definition of a protocol applicable to VUS in general, involved in other diseases, as well.


Cancer Letters | 2011

DNA copy number profile discriminates between esophageal adenocarcinoma and squamous cell carcinoma and represents an independent prognostic parameter in esophageal adenocarcinoma

Enrica Rumiato; G. Pasello; Marco Montagna; Maria Chiara Scaini; Gian Luca De Salvo; Anna Parenti; Matteo Cagol; Alberto Ruol; Ermanno Ancona; Alberto Amadori; D. Saggioro

We report multiplex ligation-dependent probe amplification analysis (MLPA) of DNA copy number alterations in 59 esophageal cancer samples, stratified by histotype. Results showed that squamous cell carcinoma (SCC) samples present clustered abnormalities with several genes altered at high frequency. Instead, esophageal adenocarcinoma (ADC) samples are characterized by a more widespread genomic instability, and in these patients total DNA copy number alterations resulted to be an independent prognostic factor. The detection of characteristic molecular changes represents a step towards a better understanding of the molecular basis of esophageal tumorigenesis, and might offer the potential for the discovery of tumor-specific biomarkers.


Mutation Research | 2009

Functional impairment of p16INK4A due to CDKN2A p.Gly23Asp missense mutation

Maria Chiara Scaini; Elisabetta Rossi; Paula Lobao Antunes de Siqueira Torres; Daniela Zullato; Monia Callegaro; Cinzia Casella; Monica Quaggio; Simona Agata; Sandro Malacrida; Vanna Chiarion-Sileni; Antonella Vecchiato; Mauro Alaibac; Marco Montagna; Graham J. Mann; Chiara Menin; Emma D’Andrea

The CDKN2A locus encodes for two distinct tumor suppressor proteins, p16(INK4A) and p14(ARF), involved in cell cycle regulation. CDKN2A germline mutations have been associated with familial predisposition to melanoma and other tumor types. Besides bona-fide pathogenic mutations, many sequence variants have been identified, but their effect is not well known. We detected the p.Gly23Asp missense mutation in one of the two tested melanoma patients of a family with three melanoma cases. Even though the mutated amino acid is located in a conserved domain that specifically binds to and blocks the function of CDK4/6, its lack of segregation with disease suggested a series of functional assays to discriminate between a pathogenic variant and a neutral polymorphism. The effect of this mutation has been investigated exploiting four p16(INK4A) properties: its ability (i) to bind CDK4, (ii) to inhibit pRb phosphorylation, (iii) to evenly localize in the cell, and (iv) to cause cell cycle arrest. The mutant protein properties were evaluated transfecting three different cell lines (U2-OS and NM-39, both p16-null, and SaOS 2, p53 and pRb-null) with plasmids expressing either p16(wt), p16(23Asp), or the p16(32Pro) pathogenic variant. We found that p16(23Asp) was less efficient than p16(wt) in CDK4 binding, in inhibiting pRb phosphorylation, in inducing G1 cell cycle arrest; moreover, its pattern of distribution throughout the cell was suggestive of protein aggregation, thus assessing a pathogenic role for p16(23Asp) in familial melanoma.


Melanoma Research | 2008

Genomic rearrangements of the CDKN2A locus are infrequent in Italian malignant melanoma families without evidence of CDKN2A/CDK4 point mutations.

Marina Vignoli; Maria Chiara Scaini; Paola Ghiorzo; Roberta Sestini; William Bruno; Chiara Menin; Francesca Gensini; Mauro Piazzini; Alessandro Testori; Siranoush Manoukian; Claudio Orlando; Emma D'Andrea; Giovanna Bianchi-Scarrà; Maurizio Genuardi

Predisposition to familial cutaneous malignant melanoma has been associated with mutations in the CDKN2A and CDK4 genes. However, only a small subgroup of melanoma pedigrees harbour CDKN2A or CDK4 germline mutations. It is possible that other types of CDKN2A rearrangements, not detectable by routine PCR-based approaches, are involved in a fraction of melanoma cases negative for point sequence changes. In order to gain insights on the possible role of CDKN2A large deletions or duplications in melanoma susceptibility in the Italian population, we screened a series of 124 cutaneous malignant melanoma families referred to five national medical/cancer genetics centres. All probands were negative for point mutations in CDKN2A and CDK4. All samples were tested by MLPA (multiplex ligation-dependent probe amplification), and the results were confirmed by real-time quantitative PCR in a subset of 53 cases. No genomic rearrangements were detected in this series, one of the largest so far investigated. These data suggest that large deletions/duplications in the CDKN2A locus are infrequently involved in the development of familial melanoma in the Italian population. Based on these results, routine search for these rearrangements in CDKN2A- and CDK4-mutation negative melanoma families is not warranted, although it would be reasonable to pursue it in selected cases with very strong family history and/or showing linkage to 9p21.


Pigment Cell & Melanoma Research | 2011

Contribution of susceptibility gene variants to melanoma risk in families from the Veneto region of Italy

Chiara Menin; Antonella Vecchiato; Maria Chiara Scaini; Lisa Elefanti; Gloria Funari; Gian Luca De Salvo; Monica Quaggio; Silvia Tognazzo; Simona Agata; Silvia Dalla Santa; Marco Montagna; Mauro Alaibac; Vanna Chiarion-Sileni; Emma D’Andrea

to take out a personal subscription, please click here More information about Pigment Cell & Melanoma Research at www.pigment.org Contribution of susceptibility gene variants to melanoma risk in families from the Veneto region of italy Chiara menin, antonella Vecchiato, maria Chiara scaini, lisa Elefanti, gloria Funari, gian luca de salvo, monica Quaggio, silvia tognazzo, simona agata, silvia dalla santa, marco montagna, mauro alaibac, Vanna Chiarion-sileni6 and Emma d’andrea


Leukemia Research | 2013

Dried blood spot sampling for detection of monoclonal immunoglobulin gene rearrangement

Maria Raffaella Petrara; Lisa Elefanti; Monica Quaggio; Marisa Zanchetta; Maria Chiara Scaini; Nestory Masalu; Anita De Rossi; Chiara Menin

Molecular methods are important tools for diagnosis and monitoring of many lymphoproliferative disorders. The reliability of lymphoma diagnoses is strikingly different between developed and developing countries, partly due to lack of access to these advanced molecular analyses. To overcome these problems, we propose a new application of dried blood spots (DBS) for detecting clonal B-cell populations in peripheral blood (PB). We ensured that the DBS contained sufficient lymphocytes to perform a PCR-based clonality assay without producing false positives. Using the Namalwa B-cell line, we established that the assay is sensitive enough to detect 200 clonal cells in the analyzed sample. Very similar clonal results were obtained between DNA from DBS and fresh whole blood from patients with B-cell chronic lymphocytic leukemia. B-cell clonality can also be detected in DBS from African children with EBV-associated diseases. This is the first study demonstrating that clonality testing can be performed on DBS samples, thus improving the diagnostic and monitoring options for lymphoproliferative diseases in resource-limited settings.


Human Mutation | 2017

Performance of in silico tools for the evaluation of p16INK4a (CDKN2A) variants in CAGI

Marco Carraro; Giovanni Minervini; Manuel Giollo; Yana Bromberg; Emidio Capriotti; Rita Casadio; Roland L. Dunbrack; Lisa Elefanti; P. Fariselli; Carlo Ferrari; Julian Gough; Panagiotis Katsonis; Emanuela Leonardi; Olivier Lichtarge; Chiara Menin; Pier Luigi Martelli; Abhishek Niroula; Lipika R. Pal; Susanna Repo; Maria Chiara Scaini; Mauno Vihinen; Qiong Wei; Qifang Xu; Yuedong Yang; Yizhou Yin; Jan Zaucha; Huiying Zhao; Yaoqi Zhou; Steven E. Brenner; John Moult

Correct phenotypic interpretation of variants of unknown significance for cancer‐associated genes is a diagnostic challenge as genetic screenings gain in popularity in the next‐generation sequencing era. The Critical Assessment of Genome Interpretation (CAGI) experiment aims to test and define the state of the art of genotype–phenotype interpretation. Here, we present the assessment of the CAGI p16INK4a challenge. Participants were asked to predict the effect on cellular proliferation of 10 variants for the p16INK4a tumor suppressor, a cyclin‐dependent kinase inhibitor encoded by the CDKN2A gene. Twenty‐two pathogenicity predictors were assessed with a variety of accuracy measures for reliability in a medical context. Different assessment measures were combined in an overall ranking to provide more robust results. The R scripts used for assessment are publicly available from a GitHub repository for future use in similar assessment exercises. Despite a limited test‐set size, our findings show a variety of results, with some methods performing significantly better. Methods combining different strategies frequently outperform simpler approaches. The best predictor, Yang&Zhou lab, uses a machine learning method combining an empirical energy function measuring protein stability with an evolutionary conservation term. The p16INK4a challenge highlights how subtle structural effects can neutralize otherwise deleterious variants.


Cancer Epidemiology, Biomarkers & Prevention | 2008

No Evidence for Linkage with Melanoma in Italian Melanoma-Prone Families

Kimberly F. Kerstann; Porcia T. Bradford; Robert Steighner; Donato Calista; Maria Concetta Fargnoli; Ketty Peris; Maria Chiara Scaini; Chiara Menin; Paola Ghiorzo; Giovanna Bianchi-Scarrà; Alisa M. Goldstein; Maria Teresa Landi

Melanoma-prone families are often defined as having two or more 1st-degree relatives with melanoma, with the number of cases per family varying according to the incidence rates in the respective populations and the presence of founder mutations ([1][1]). The germline mutations of two genes, the

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