Donatella Conconi

Biological heterogeneity of putative bladder cancer stem-like cell populations from human bladder transitional cell carcinoma samples

Transitional cell carcinoma (TCC) is the most common type of bladder cancer. Emerging evidence has suggested that the capability of a tumor to grow and propagate is dependent on a small subset of cells, the cancer stem‐like cells (CSCs) or tumor initiating cells. We report on the isolation and biological characterization of putative bladder CSC populations from primary TCCs. Isolated cells were induced to proliferate in stem cell culture conditions (serum‐free medium containing mitogenic growth factors). The proliferating cells formed spheroids (urospheres) and their abilities for extensive proliferation and self‐renewal were assayed. Their positivity for several stem cell markers (CD133, Oct‐3/4, nestin, and cytokeratins) was also assessed by immunofluorescence tests and they could have the potential to differentiate in the presence of serum. In stem cell culture conditions they gradually showed loss of proliferation, adherence to the substrate, and morphological changes, which might reflect their progressive acquisition of differentiative capacity and loss of self‐renewal ability. To evaluate if effective cell selection occurred after isolation, conventional cytogenetic studies on fresh chromosome spreads immediately after isolation and after culture were carried out. In addition, a molecular cytogenetic study by UroVysion assay was carried out on paraffin‐embedded tissue sections and on fresh and after culture nuclei preparations. The data collected indicated important karyotype changes and a positive selection for hypo‐ or near‐diploid cells, losing the complexity present in fresh tumors. (Cancer Sci 2009)

Cytogenetics of Premature Ovarian Failure: An Investigation on 269 Affected Women

The importance of X chromosome in the aetiology of premature ovarian failure (POF) is well-known but in many cases POF still remains idiopathic. Chromosome aneuploidy increase is a physiological phenomenon related to aging, but the role of low-level sex chromosome mosaicism in ovarian function is still undiscovered. Standard cytogenetic analysis was carried out in a total of 269 patients affected by POF: 27 chromosomal abnormalities were identified, including X chromosome and autosomal structural and numerical abnormalities. In 47 patients with 46,XX karyotype we performed interphase FISH using X alpha-satellite probe in order to identify X chromosome mosaicism rate. Aneuploidy rate in the patient group was significantly higher than the general population group. These findings underline the importance of X chromosome in the aetiology of POF and highlight the potential role of low-level sex chromosome mosaicism in ovarian aging that may lead to a premature onset of menopause.

Investigating the role of X chromosome breakpoints in premature ovarian failure

The importance of the genetic factor in the aetiology of premature ovarian failure (POF) is emphasized by the high percentage of familial cases and X chromosome abnormalities account for 10% of chromosomal aberrations. In this study, we report the detailed analysis of 4 chromosomal abnormalities involving the X chromosome and associated with POF that were detected during a screening of 269 affected women. Conventional and molecular cytogenetics were valuable tools for locating the breakpoint regions and thus the following karyotypes were defined: 46,X,der(X)t(X;19)(p21.1;q13.42)mat, 46,X,t(X;2)(q21.33;q14.3)dn, 46,X,der(X)t(X;Y)(q26.2;q11.223)mat and 46,X,t(X;13)(q13.3;q31)dn. A bioinformatic analysis of the breakpoint regions identified putative candidate genes for ovarian failure near the breakpoint regions on the X chromosome or on autosomes that were involved in the translocation event. HS6ST1, HS6ST2 and MATER genes were identified and their functions and a literature review revealed an interesting connection to the POF phenotype. Moreover, the 19q13.32 locus is associated with the age of onset of the natural menopause. These results support the position effect of the breakpoint on flanking genes, and cytogenetic techniques, in combination with bioinformatic analysis, may help to improve what is known about this puzzling disorder and its diagnostic potential.

Mutations in MAPT Gene Cause Chromosome Instability and Introduce Copy Number Variations Widely in the Genome

In addition to the main function of promoting polymerization and stabilization of microtubules, other roles are being attributed to tau, now considered a multifunctional protein. In particular, previous studies suggest that tau is involved in chromosome stability and genome protection. We performed cytogenetic analysis, including molecular karyotyping, on lymphocytes and fibroblasts from patients affected by frontotemporal lobar degeneration carrying different mutations in the microtubule-associated protein tau gene, to investigate the effects of these mutations on genome stability. Furthermore, we analyzed the response of mutated lymphoblastoid cell lines to genotoxic agents to evaluate the participation of tau to DNA repair systems. We found a significantly higher level of chromosome aberrations in mutated than in control cells. Mutated lymphocytes showed higher percentages of stable lesions, clonal and total aneuploidy (medians: 2 versus 0, p

Mutations in MAPT give rise to aneuploidy in animal models of tauopathy

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Potential role of BCL2 in the recurrence of uterine smooth muscle tumors of uncertain malignant potential

0.01; 1.5 versus 0, p

Unexpected frequency of genomic alterations in histologically normal colonic tissue from colon cancer patients

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Using copy number alterations to identify new therapeutic targets for bladder carcinoma

0.01; 16.5 versus 0, p

DNA copy number alterations and PPARG amplification in a patient with multifocal bladder urothelial carcinoma

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Analysis of Chromosomal Alterations in Urothelial Carcinoma

0.01, respectively). Fibroblasts of patients showed higher percentages of stable lesions, structural aberrations and total aneuploidy (medians: 0 versus 0, p = 0.03; 5.8 versus 0, p = 0.02; 26.5 versus 12.6, p