ArticleTrends in cancer research2008
Cell-based Models for Discovery of Pharmacogenomic Markers of Anticancer Agent Toxicity.
Article in Trends in cancer research, 2008. 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, 8 citations in OpenAlex.
- Gene expression changes in lymphoblastoid cell lines and primary B cells by dexamethasone.Pharmacogenetics and genomics · 2019Article
- Utility of patient-derived lymphoblastoid cell lines as an ex vivo capecitabine sensitivity prediction model for breast cancer patients.Oncotarget · 2016Article
- Integrating cell-based and clinical genome-wide studies to identify genetic variants contributing to treatment failure in neuroblastoma patients.Clinical pharmacology and therapeutics · 2014Article
- A comparison of association methods for cytotoxicity mapping in pharmacogenomics.Frontiers in genetics · 2011Article
- A pharmacogene database enhanced by the 1000 Genomes Project.Pharmacogenetics and genomics · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
The field of pharmacogenomics is challenging because of the multigenic nature of drug response and toxicity. The candidate gene approach has been traditionally utilized to determine the contribution of genetic variation to a particular phenotype; however, the sequencing of the human genome and the genetic resource provided by the International HapMap Project has allowed researchers to perform genome-wide studies without a priori knowledge. Recent work has demonstrated the usefulness of cell-based models for pharmacogenomic discovery using the HapMap samples, which are a panel of well-genotyped, human lymphoblastoid cell lines (LCLs) derived from 90 Utah residents with ancestry from northern and western Europe (CEU), 90 Yoruba in Ibadan, Nigeria (YRI), 45 Japanese in Tokyo, Japan (JPT) and 45 Han Chinese in Beijing, China (CHB). Using these cell-based models, investigators are able to study not only individual variation in drug response, but also population differences in drug response. Finally, besides single nucleotide polymorphisms (SNPs) and gene expression, these cell-based models can also be used to investigate other genetic (e.g. copy number variants, CNVs), epigenetic or environmental factors responsible for drug response.
Identifiers
21499559PMC3076057W194312364What 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.