ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2006
Genomic platforms for cancer research: potential diagnostic and prognostic applications in clinical oncology.
Review in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- A High-Throughput Workflow for FFPE Tissue Proteomics.Journal of the American Society for Mass Spectrometry · 2023Article
- Laser capture microdissection: Big data from small samples.Histology and histopathology · 2015Review
- An Empirical Evaluation of Normalization Methods for MicroRNA Arrays in a Liposarcoma Study.Cancer informatics · 2013Article
- An integrative analysis of microRNA and mRNA expression--a case study.Cancer informatics · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The completion of the Human Genome Project and the achievement of similar goals in other organisms have generated a huge amount of free available information with high potential in biomedical sciences. However, the identification of the DNA sequence was only a starting point for genomic research. This research has been facilitated by the development of new powerful genomic tools that allow the use of the wide amount of genomic information generated to address new biological and biomedical questions. One of these widely accepted and accessible technologies is DNA microarrays. Although the most popular use of DNA microarrays is gene expression profiling, due to the continuous advances in microarray technologies, scientists have also successfully used them for multiple applications, including genotyping, re-sequencing, DNA copy number analysis and DNA methylation. In short, DNA microarrays are changing the way cancer research scientists are addressing different biological questions and will allow the translation of genome research to clinical practice.
Indexed as
Identifiers
16648115What 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.