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Institution

Catholic University of the Sacred Heart

EducationMilan, Lombardia, Italy
About: Catholic University of the Sacred Heart is a education organization based out in Milan, Lombardia, Italy. It is known for research contribution in the topics: Population & Health care. The organization has 13592 authors who have published 31048 publications receiving 853961 citations.


Papers
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Journal ArticleDOI
TL;DR: A critical role is revealed in mediating the effects of the IGF-1 pathway and a feedback loop between miR-1 expression and theIGF-1 signal transduction cascade is demonstrated.
Abstract: Background— MicroRNAs (miRNAs/miRs) are small conserved RNA molecules of 22 nucleotides that negatively modulate gene expression primarily through base paring to the 3′ untranslated region of target messenger RNAs. The muscle-specific miR-1 has been implicated in cardiac hypertrophy, heart development, cardiac stem cell differentiation, and arrhythmias through targeting of regulatory proteins. In this study, we investigated the molecular mechanisms through which miR-1 intervenes in regulation of muscle cell growth and differentiation. Methods and Results— On the basis of bioinformatics tools, biochemical assays, and in vivo models, we demonstrate that (1) insulin-like growth factor-1 (IGF-1) and IGF-1 receptor are targets of miR-1; (2) miR-1 and IGF-1 protein levels are correlated inversely in models of cardiac hypertrophy and failure as well as in the C2C12 skeletal muscle cell model of differentiation; (3) the activation state of the IGF-1 signal transduction cascade reciprocally regulates miR-1 express...

370 citations

Journal ArticleDOI
TL;DR: Phylogeographic analyses suggest that a large component of the present Khoisan gene pool is eastern African in origin and that Asia was the source of a back migration to sub-Saharan Africa.
Abstract: The variation of 77 biallelic sites located in the nonrecombining portion of the Y chromosome was examined in 608 male subjects from 22 African populations. This survey revealed a total of 37 binary haplotypes, which were combined with microsatellite polymorphism data to evaluate internal diversities and to estimate coalescence ages of the binary haplotypes. The majority of binary haplotypes showed a nonuniform distribution across the continent. Analysis of molecular variance detected a high level of interpopulation diversity (ΦST=0.342), which appears to be partially related to the geography (ΦCT=0.230). In sub-Saharan Africa, the recent spread of a set of haplotypes partially erased pre-existing diversity, but a high level of population (ΦST=0.332) and geographic (ΦCT=0.179) structuring persists. Correspondence analysis shows that three main clusters of populations can be identified: northern, eastern, and sub-Saharan Africans. Among the latter, the Khoisan, the Pygmies, and the northern Cameroonians are clearly distinct from a tight cluster formed by the Niger-Congo–speaking populations from western, central western, and southern Africa. Phylogeographic analyses suggest that a large component of the present Khoisan gene pool is eastern African in origin and that Asia was the source of a back migration to sub-Saharan Africa. Haplogroup IX Y chromosomes appear to have been involved in such a migration, the traces of which can now be observed mostly in northern Cameroon.

367 citations

Journal ArticleDOI
TL;DR: By univariate analysis, TRG is a predictor for local failure, metastases-free survival, and overall survival and by multivariateAnalysis, it predicts improved disease- free survival.
Abstract: Purpose: To examine the relationship between tumor regression grade (TRG) and outcomes in patients with rectal cancer treated with preoperative therapy. Methods and Materials: Specimens from 144 patients with cT3,4 rectal cancer who had received preoperative radiation ± chemotherapy and had a minimum follow-up of 3 years were retrospectively reviewed. TRG, which involves examining the residual neoplastic cells and scoring the degree of both cytological changes, including nuclear pyknosis or necrosis and/or eosinophilia, as well as stromal changes, including fibrosis (either dense or edematous) with or without inflammatory infiltrate and giant-cell granulomatosis around ghost cells and keratin, was quantified in five grades according to the Mandard score ( Cancer 1994;73:2680–2686). The greater the response, the lower the TRG score. The median follow-up was 72 months (range, 40–143 months). Results: Of the 144 patients, 19% were TRG1, 12% were TRG2, 21% were TRG3, 46% were TRG4, and 1% were TRG5. To simplify the analysis, TRG was combined into two groups: TRG1–2 and TRG3–5. By univariate analysis, none of the pretreatment factors examined, including age, circumference, length, distance from the anorectal ring, pretreatment T and N stage, and INDpre (defined as the pretreatment reference index size based on digital rectal examination), had an impact on 5-year outcomes, including local control, metastases-free survival, disease-free survival, and overall survival. Postoperative parameters, including pathologic T stage (pT), pathologic N stage (pN), and TRG, did significantly influence 5-year outcomes. These included local failure: pT0–2: 5% vs. pT3–4: 19%, p = 0.007; pN0: 7% vs. pN1–3: 26%, p = 0.002; TRG1–2: 2% vs. TRG3–5: 17%, p = 0.013; metastasis-free survival: pT0–2: 86% vs. pT3–4: 62%, p = 0.005; pN−: 86% vs. pN*: 42%, p p = 0.004; disease-free survival: pT0–2: 83% vs. pT3–4: 54%, p = 0.001; pN0: 80% vs. pN1–3: 39%, p p p = 0.007; pN0: 86% vs. pN1–3: 45%, p p = 0.004. By multivariate analysis combining all pre- and posttreatment parameters, only pN ( p p = 0.005) significantly predicted disease-free survival. Furthermore, TRG predicted the incidence of pathologic nodal involvement ( p Conclusions: By univariate analysis, TRG is a predictor for local failure, metastases-free survival, and overall survival. By multivariate analysis, it predicts improved disease-free survival. Given the ability of TRG to predict those patients with N * disease, it may be helpful, in combination with other clinicopathologic factors, in selecting patients for a more conservative procedure, such as local excision rather than radical surgery, after preoperative therapy.

367 citations

Journal ArticleDOI
TL;DR: It is reported that somatic mutations in JAK1 occur in individuals with acute lymphoblastic leukemia (ALL), and this kinase is pointed to as a target for the development of novel antileukemic drugs.
Abstract: Aberrant signal transduction contributes substantially to leukemogenesis. The Janus kinase 1 (JAK1) gene encodes a cytoplasmic tyrosine kinase that noncovalently associates with a variety of cytokine receptors and plays a nonredundant role in lymphoid cell precursor proliferation, survival, and differentiation. We report that somatic mutations in JAK1 occur in individuals with acute lymphoblastic leukemia ( ALL). JAK1 mutations were more prevalent among adult subjects with the T cell precursor ALL, where they accounted for 18% of cases, and were associated with advanced age at diagnosis, poor response to therapy, and overall prognosis. All mutations were missense, and some were predicted to destabilize interdomain interactions controlling the activity of the kinase. Three mutations that were studied promoted JAK1 gain of function and conferred interleukin (IL)-3- independent growth in Ba/F3 cells and/ or IL-9-independent resistance to dexamethasone-induced apoptosis in T cell lymphoma BW5147 cells. Such effects were associated with variably enhanced activation of multiple downstream signaling pathways. Leukemic cells with mutated JAK1 alleles shared a gene expression signature characterized by transcriptional up-regulation of genes positively controlled by JAK signaling. Our findings implicate dysregulated JAK1 function in ALL, particularly of T cell origin, and point to this kinase as a target for the development of novel antileukemic drugs.

366 citations


Authors

Showing all 13795 results

NameH-indexPapersCitations
Peter J. Barnes1941530166618
Cornelia M. van Duijn1831030146009
Dennis R. Burton16468390959
Paolo Boffetta148145593876
Massimo Antonelli130127279319
David B. Audretsch12667172456
Piero Anversa11541260220
Marco Pahor11247646549
David L. Paterson11173968485
Alfonso Caramazza10845139280
Anthony A. Amato10591157881
Stefano Pileri10063543369
Giovanni Gasbarrini9889436395
Giampaolo Merlini9668440324
Silvio Donato9686041166
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023106
2022276
20213,228
20202,935
20192,170
20181,907