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Francesco Mauri

Researcher at Imperial College London

Publications -  146
Citations -  7888

Francesco Mauri is an academic researcher from Imperial College London. The author has contributed to research in topics: Cancer & Lung cancer. The author has an hindex of 45, co-authored 142 publications receiving 7085 citations. Previous affiliations of Francesco Mauri include Wakayama Medical University & Imperial College Healthcare.

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Genome-wide meta-analyses identify multiple loci associated with smoking behavior

Helena Furberg, +123 more
- 01 May 2010 - 
TL;DR: A meta-analyses of several smoking phenotypes within cohorts of the Tobacco and Genetics Consortium found the strongest association was a synonymous 15q25 SNP in the nicotinic receptor gene CHRNA3, and three loci associated with number of cigarettes smoked per day were identified.
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Age-Related Increase in Mortality among Patients with First Myocardial Infarctions Treated with Thrombolysis

TL;DR: The in-hospital mortality rate was 1.9 percent among patients 40 years old or younger, but it increased to 31.9% among those more than 80 years old; however, values for indicators of infarct size did not increase with age.
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High syndecan-1 expression in breast carcinoma is related to an aggressive phenotype and to poorer prognosis.

TL;DR: Syndecan‐1 is a transmembrane heparan sulphate proteoglycan that is involved in cell–cell adhesion, organization of cell–matrixAdhesion, and regulation of growth factor signaling.
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PCNA and Ki67 expression in breast carcinoma: correlations with clinical and biological variables.

TL;DR: The PCNA-LI does not seem to be a substitute for the Ki67-LI in evaluating the growth fraction in breast cancer, and its associations with other biological and clinicopathological variables are unknown.
Journal Article

Expression of bcl-2 protein predicts efficacy of adjuvant treatments in operable node-positive breast cancer.

TL;DR: It is suggested that expression of bcl-2 protein and the number of metastatic lymph nodes are independent features predictive of clinical outcome in patients with node-positive breast cancer, irrespective of the type of adjuvant treatment.