ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2008
Pharmacogenomics: a tool for improving cancer chemotherapy.
Review in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed, 13 citations in OpenAlex.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
When an anticancer drug is captured and transported to the interior of a cell, many biochemical processes intervene in the metabolism of the drug. First, the Phase I and Phase II enzymes produce metabolites, which are then excreted via the ABC-transporter enzymes. Finally, the remaining drug binds to its molecular target. Genetic alterations known as polymorphisms in any of the proteins that intervene in these processes can affect the efficacy of treatment. Interestingly, these polymorphisms can be detected in both normal and tumour cells. In this article, we will review the most effective method of detecting single-nucleotide polymorphisms (SNPs) and describe the principal SNPs in enzymes involved in drug metabolism and in DNA repair. Finally, we will briefly describe promising lines of future research in this field.
Indexed as
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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.