ArticleExpert opinion on drug discovery2010
PROBING CANCER SIGNALING WITH RESONANT WAVEGUIDE GRATING BIOSENSORS.
Article in Expert opinion on drug discovery, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 26 citations in OpenAlex.
- Article
- Resonant waveguide grating biosensor-enabled label-free and fluorescence detection of cell adhesion.Sensors and actuators. B, Chemical · 2013Article
- Label-free integrative pharmacology on-target of opioid ligands at the opioid receptor family.BMC pharmacology & toxicology · 2013Article
- Discovery of 2-(4-methylfuran-2(5H)-ylidene)malononitrile and thieno[3,2-b]thiophene-2-carboxylic acid derivatives as G protein-coupled receptor 35 (GPR35) agonists.Journal of medicinal chemistry · 2011Article
- Ligand-directed functional selectivity at the mu opioid receptor revealed by label-free integrative pharmacology on-target.PloS one · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
importance of the fieldCancer is a collection of diseases that arise from the progressive accumulation of genetic alterations in somatic cells. Genomic approaches have identified a great variety of genetic abnormalities associated with tumorigenesis, and molecular imaging and quantification assays have further elucidated the complex interactions within or between pathways. It is acknowledged that it is proteins, rather than genes, to fulfill most cellular functions; and signaling proteins largely operate through a large and complex network. To this end, cancer is mostly a pathway dysregulated disease - a small number of core pathways are dominate in aberrant cell growth leading to cancer. Thus, understanding the functional consequences of dysregulated and/or mutant signaling proteins in the context of native signaling networks is the frontier in cancer research. AREAS COVERED IN THIS REVIEW: This article reviews why resonant waveguide grating (RWG) biosensor cellular assays are considered to be integrative in nature, and how RWG biosensor can be used for mining the surface markers of cancer cells, and discovering core pathway(s) of cancer receptor signaling. WHAT THE READER WILL GAIN: The reader will gain an overview of cancer biology from pathway perspective, and have a glimpse of potential implications of integrative cellular assays, as promised by RWG biosensor, in cancer research and diagnosis. TAKE HOME MESSAGE: Successful approaches for developing next-generation anti-cancer therapies and diagnostic protocols should take into account that the dysregulation of oncogenic pathways is central to tumorigenesis. The biosensor cellular assays offer unprecedented advantage in characterizing cancer biology. However, significant challenges are also presented in deconvoluting and validating cellular mechanisms identified in cancer receptor signaling using these assays.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.