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Institution

University of British Columbia

EducationVancouver, British Columbia, Canada
About: University of British Columbia is a education organization based out in Vancouver, British Columbia, Canada. It is known for research contribution in the topics: Population & Poison control. The organization has 89939 authors who have published 209679 publications receiving 9226862 citations. The organization is also known as: UBC & The University of British Columbia.


Papers
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Journal ArticleDOI
02 Apr 1999-Science
TL;DR: Are all emergent properties of animal aggregations functional or are some simply pattern?
Abstract: One of the most striking patterns in biology is the formation of animal aggregations. Classically, aggregation has been viewed as an evolutionarily advantageous state, in which members derive the benefits of protection, mate choice, and centralized information, balanced by the costs of limiting resources. Consisting of individual members, aggregations nevertheless function as an integrated whole, displaying a complex set of behaviors not possible at the level of the individual organism. Complexity theory indicates that large populations of units can self-organize into aggregations that generate pattern, store information, and engage in collective decision-making. This begs the question, are all emergent properties of animal aggregations functional or are some simply pattern? Solutions to this dilemma will necessitate a closer marriage of theoretical and modeling studies linked to empirical work addressing the choices, and trajectories, of individuals constrained by membership in the group.

1,136 citations

Journal ArticleDOI
TL;DR: An increased number of tumor-associated macrophages was strongly associated with shortened survival in patients with classic Hodgkin's lymphoma and provides a new biomarker for risk stratification.
Abstract: Background Despite advances in treatments for Hodgkin's lymphoma, about 20% of patients still die from progressive disease. Current prognostic models predict the outcome of treatment with imperfect accuracy, and clinically relevant biomarkers have not been established to improve on the International Prognostic Score. Methods Using gene-expression profiling, we analyzed 130 frozen samples obtained from patients with classic Hodgkin's lymphoma during diagnostic lymph-node biopsy to determine which cellular signatures were correlated with treatment outcome. We confirmed our findings in an independent cohort of 166 patients, using immunohistochemical analysis. Results Gene-expression profiling identified a gene signature of tumor-associated macrophages that was significantly associated with primary treatment failure (P=0.02). In an independent cohort of patients, we found that an increased number of CD68+ macrophages was correlated with a shortened progression-free survival (P=0.03) and with an increased like...

1,135 citations

Journal ArticleDOI
TL;DR: The matrix metalloproteinases mediate homeostasis of the extracellular environment and have multiple signalling activities that are commonly altered during tumorigenesis and that might serve as intervention points for anticancer drugs.
Abstract: The matrix metalloproteinases (MMPs) mediate homeostasis of the extracellular environment. They have multiple signalling activities that are commonly altered during tumorigenesis and that might serve as intervention points for anticancer drugs. However, there are many criteria to consider in validating MMPs as drug targets and for the development of MMP inhibitors. The inhibition of some MMPs could have pro-tumorigenic effects (making them anti-targets), counterbalancing the benefits of target inhibition. These effects might partially account for the failure of MMP inhibitors in clinical trials. What are the major challenges in MMP target validation and MMP-inhibitor-drug development?

1,134 citations

Journal ArticleDOI
TL;DR: This work proposes the “A/T/N” system, a descriptive system for categorizing multidomain biomarker findings at the individual person level in a format that is easy to understand and use and suited to population studies of cognitive aging.
Abstract: Biomarkers have become an essential component of Alzheimer disease (AD) research and because of the pervasiveness of AD pathology in the elderly, the same biomarkers are used in cognitive aging research. A number of current issues suggest that an unbiased descriptive classification scheme for these biomarkers would be useful. We propose the "A/T/N" system in which 7 major AD biomarkers are divided into 3 binary categories based on the nature of the pathophysiology that each measures. "A" refers to the value of a β-amyloid biomarker (amyloid PET or CSF Aβ42); "T," the value of a tau biomarker (CSF phospho tau, or tau PET); and "N," biomarkers of neurodegeneration or neuronal injury ([(18)F]-fluorodeoxyglucose-PET, structural MRI, or CSF total tau). Each biomarker category is rated as positive or negative. An individual score might appear as A+/T+/N-, or A+/T-/N-, etc. The A/T/N system includes the new modality tau PET. It is agnostic to the temporal ordering of mechanisms underlying AD pathogenesis. It includes all individuals in any population regardless of the mix of biomarker findings and therefore is suited to population studies of cognitive aging. It does not specify disease labels and thus is not a diagnostic classification system. It is a descriptive system for categorizing multidomain biomarker findings at the individual person level in a format that is easy to understand and use. Given the present lack of consensus among AD specialists on terminology across the clinically normal to dementia spectrum, a biomarker classification scheme will have broadest acceptance if it is independent from any one clinically defined diagnostic scheme.

1,131 citations

Journal ArticleDOI
TL;DR: Combined with recent advances in human pluripotent stem cell technologies, 3D-bioprinted tissue models could serve as an enabling platform for high-throughput predictive drug screening and more effective regenerative therapies.

1,130 citations


Authors

Showing all 90682 results

NameH-indexPapersCitations
Gordon H. Guyatt2311620228631
John C. Morris1831441168413
Douglas Scott1781111185229
John R. Yates1771036129029
Deborah J. Cook173907148928
Richard A. Gibbs172889249708
Evan E. Eichler170567150409
James F. Sallis169825144836
Michael Snyder169840130225
Jiawei Han1681233143427
Michael Kramer1671713127224
Bruce L. Miller1631153115975
Peter A. R. Ade1621387138051
Marc W. Kirschner162457102145
Kaj Blennow1601845116237
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023307
20221,209
202113,228
202012,052
201910,934