ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2008
Bioinformatics and cancer research: building bridges for translational research.
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 6 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
6 citing papers in PubMed.
- Depression-related innate immune genes and pan-cancer gene analysis and validation.Frontiers in genetics · 2024Article
- Computational Biology Helps Understand How Polyploid Giant Cancer Cells Drive Tumor Success.Genes · 2023Review
- Expression and clinical implications of basic leucine zipper ATF-like transcription factor 2 in breast cancer.BMC cancer · 2021Article
- Applications of a new In vivo tumor spheroid based shell-less chorioallantoic membrane 3-D model in bioengineering research.Journal of biomedical science and engineering · 2010Article
- Institutional shared resources and translational cancer research.Journal of translational medicine · 2009Review
- Linking genes to literature: text mining, information extraction, and retrieval applications for biology.Genome biology · 2008Review
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
Genome studies have revolutionised cancer research in recent years as high-throughput technologies can now be used to identify sets of genes potentially related with different processes in cancer. However, managing all this data and organising it into useful datasets is still a challenge in the bioinformatics field. Finding relationships between the molecular and genomic information and the clinical information available, within the medical informatics domain, is currently driving the development of translational research in biomedicine. The dispersion and complexity of the molecular information, the poor adherence to standards, together with the fast evolution of the experimental techniques, pose obvious challenges for the development of integrated molecular resources. In parallel, restricted access to medical information together with the gaps in the development of standard terminologies are typical limitations in the area of medical informatics. The development of research projects combining medical and molecular information together with the current efforts to standardise and integrate databases and terminologies are described in this review as a demonstration of the fruitful activity in this area.
Indexed as
Identifiers
18258507What 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.