Aptamer-based Biosensors for Cancer Studies

2012 ◽  
pp. 101-116
Keyword(s):  
Cancer Studies

scholarly journals Modeling human brain tumours in flies, worms, and zebrafish: From proof of principle to novel therapeutic targets

2020 ◽  
Author(s):  
Uswa Shahzad ◽  
Michael S Taccone ◽  
Sachin A Kumar ◽  
Hidehiro Okura ◽  
Stacey Krumholtz ◽  
...  
Keyword(s):  
Brain Tumours ◽  
Mammalian Species ◽  
Scientific Investigation ◽  
Screening Tools ◽  
Murine Models ◽  
Molecular Processes ◽  
C Elegans ◽  
Human Brain Tumours ◽  
Species Specific ◽  
Cancer Studies

Abstract For decades, cell biologists and cancer researchers have taken advantage of non-murine species to increase our understanding of the molecular processes that drive normal cell and tissue development, and when perturbed, cause cancer. The advent of whole genome sequencing has revealed the high genetic homology of these organisms to humans. Seminal studies in non-murine organisms such as D. melanogaster, C. elegans, and D. rerio identified many of the signaling pathways involved in cancer. Studies in these organisms offer distinct advantages over mammalian cell or murine systems. Compared to murine models, these three species have shorter lifespans, are less resource intense, and are amenable to high-throughput drug and RNA interference screening to test a myriad of promising drugs against novel targets. In this review, we introduce species specific breeding strategies, highlight the advantages of modeling brain tumours in each non-mammalian species, and underscore the successes attributed to scientific investigation using these models. We conclude with an optimistic proposal that discoveries in the fields of cancer research, and in particular neuro-oncology, may be expedited using these powerful screening tools and strategies.

scholarly journals Reducing bias and increasing surgical knowledge: multicentre prospective breast cancer studies

2021 ◽  
Vol 108 (3) ◽  
pp. 231-232
Author(s):  
M Sund
Keyword(s):  
Breast Cancer ◽  
Breast Surgery ◽  
Risk Of Bias ◽  
Multicentre Studies ◽  
Multicentre Trials ◽  
Cancer Studies

Abstract In the March issue of BJS several hot topics within the breast surgery field are highlighted in beautifully planned and executed prospective multicentre trials. BJS encourages the surgical communities in most fields to move towards prospective collaborative and multicentre studies, thereby increasing both power and generalizability as well as reducing the risk of bias.

scholarly journals Distributions associated with simultaneous multiple hypothesis testing

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Chang Yu ◽  
Daniel Zelterman
Keyword(s):  
Latent Variable ◽  
Power Analysis ◽  
Marginal Distribution ◽  
Multiple Hypothesis Testing ◽  
Family Wise Error Rate ◽  
Uniform Distributions ◽  
Multiple Hypothesis ◽  
The Family ◽  
Alternative Hypotheses ◽  
Cancer Studies

Abstract We develop the distribution for the number of hypotheses found to be statistically significant using the rule from Simes (Biometrika 73: 751–754, 1986) for controlling the family-wise error rate (FWER). We find the distribution of the number of statistically significant p-values under the null hypothesis and show this follows a normal distribution under the alternative. We propose a parametric distribution ΨI(·) to model the marginal distribution of p-values sampled from a mixture of null uniform and non-uniform distributions under different alternative hypotheses. The ΨI distribution is useful when there are many different alternative hypotheses and these are not individually well understood. We fit ΨI to data from three cancer studies and use it to illustrate the distribution of the number of notable hypotheses observed in these examples. We model dependence in sampled p-values using a latent variable. These methods can be combined to illustrate a power analysis in planning a larger study on the basis of a smaller pilot experiment.

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