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Institution

Université de Montréal

EducationMontreal, Quebec, Canada
About: Université de Montréal is a education organization based out in Montreal, Quebec, Canada. It is known for research contribution in the topics: Population & Context (language use). The organization has 45641 authors who have published 100476 publications receiving 4004007 citations. The organization is also known as: University of Montreal & UdeM.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors deal with directed hypergraphs as a tool to model and solve some classes of problems arising in operations research and in computer science, such as connectivity, paths and cuts.

705 citations

Journal ArticleDOI
TL;DR: Evidence supports the notion to include immunological biomarkers, implemented as a tool for the prediction of prognosis and response to therapy, into traditional classification of cancer, designated TNM-I (TNM-Immune), and introduction of this parameter as a biomarker to classify cancers will facilitate clinical decision-making.
Abstract: Prediction of clinical outcome in cancer is usually achieved by histopathological evaluation of tissue samples obtained during surgical resection of the primary tumor. Traditional tumor staging (AJCC/UICC-TNM classification) summarizes data on tumor burden (T), presence of cancer cells in draining and regional lymph nodes (N) and evidence for metastases (M). However, it is now recognized that clinical outcome can significantly vary among patients within the same stage. The current classification provides limited prognostic information, and does not predict response to therapy. Recent literature has alluded to the importance of the host immune system in controlling tumor progression. Thus, evidence supports the notion to include immunological biomarkers, implemented as a tool for the prediction of prognosis and response to therapy. Accumulating data, collected from large cohorts of human cancers, has demonstrated the impact of immune-classification, which has a prognostic value that may add to the significance of the AJCC/UICC TNM-classification. It is therefore imperative to begin to incorporate the 'Immunoscore' into traditional classification, thus providing an essential prognostic and potentially predictive tool. Introduction of this parameter as a biomarker to classify cancers, as part of routine diagnostic and prognostic assessment of tumors, will facilitate clinical decision-making including rational stratification of patient treatment. Equally, the inherent complexity of quantitative immunohistochemistry, in conjunction with protocol variation across laboratories, analysis of different immune cell types, inconsistent region selection criteria, and variable ways to quantify immune infiltration, all underline the urgent requirement to reach assay harmonization. In an effort to promote the Immunoscore in routine clinical settings, an international task force was initiated. This review represents a follow-up of the announcement of this initiative, and of the J Transl Med. editorial from January 2012. Immunophenotyping of tumors may provide crucial novel prognostic information. The results of this international validation may result in the implementation of the Immunoscore as a new component for the classification of cancer, designated TNM-I (TNM-Immune).

705 citations

Journal ArticleDOI
TL;DR: The use of complete-genome sequencing in the characterization of spontaneously arising mutations in the yeast Saccharomyces cerevisiae yields numerous unexpected findings, in particular a very high rate of point mutation and skewed distribution of base-substitution types in the mitochondrion and segmental duplication and deletion in the nuclear genome.
Abstract: The mutation process ultimately defines the genetic features of all populations and, hence, has a bearing on a wide range of issues involving evolutionary genetics, inheritance, and genetic disorders, including the predisposition to cancer. Nevertheless, formidable technical barriers have constrained our understanding of the rate at which mutations arise and the molecular spectrum of their effects. Here, we report on the use of complete-genome sequencing in the characterization of spontaneously arising mutations in the yeast Saccharomyces cerevisiae. Our results confirm some findings previously obtained by indirect methods but also yield numerous unexpected findings, in particular a very high rate of point mutation and skewed distribution of base-substitution types in the mitochondrion, a very high rate of segmental duplication and deletion in the nuclear genome, and substantial deviations in the mutational profile among various model organisms.

702 citations

Journal ArticleDOI
TL;DR: Results from cross-sectional, longitudinal, and intervention studies with healthy older adults, frail patients, and persons suffering from mild cognitive impairment and dementia suggest that physical exercise is a promising nonpharmaceutical intervention to prevent age-related cognitive decline and neurodegenerative diseases.
Abstract: Studies supporting the notion that physical activity and exercise can help alleviate the negative impact of age on the body and the mind abound. This literature review provides an overview of important findings in this fast growing research domain. Results from cross-sectional, longitudinal, and intervention studies with healthy older adults, frail patients, and persons suffering from mild cognitive impairment and dementia are reviewed and discussed. Together these finding suggest that physical exercise is a promising nonpharmaceutical intervention to prevent age-related cognitive decline and neurodegenerative diseases.

701 citations

Journal ArticleDOI
TL;DR: In this article, a review summarizes the microbial mechanisms responsible for removal of carbon, nitrogen and sulfur compounds in treatment wetlands and identifies, categorizes and compares various techni cations.

701 citations


Authors

Showing all 45957 results

NameH-indexPapersCitations
Yoshua Bengio2021033420313
Alan C. Evans183866134642
Richard H. Friend1691182140032
Anders Björklund16576984268
Charles N. Serhan15872884810
Fernando Rivadeneira14662886582
C. Dallapiccola1361717101947
Michael J. Meaney13660481128
Claude Leroy135117088604
Georges Azuelos134129490690
Phillip Gutierrez133139196205
Danny Miller13351271238
Henry T. Lynch13392586270
Stanley Nattel13277865700
Lucie Gauthier13267964794
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023118
2022485
20216,077
20205,753
20195,212
20184,696