ArticleExpert opinion on medical diagnostics2008
New Technologies for Diagnosing Pediatric Tumors Expert Opinion on Medical Diagnostics.
Article in Expert opinion on medical diagnostics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 3 citations in OpenAlex.
- Integrated Genomic Profiling of Pediatric Acute Lymphoblastic Leukemia: Genomic Landscape, Risk Stratification and Association of RAS Pathway Mutations with Early Treatment Response.International journal of molecular sciences · 2026Article
- Treating metastatic disease: Which survival model is best suited for the clinic?Clinical orthopaedics and related research · 2013Article
- Addiction of MYCN amplified tumours to B-MYB underscores a reciprocal regulatory loop.Oncotarget · 2010Article
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 2 institutions in 1 country.
Funding
Abstract
backgroundThe completion of Human Genome Project (HGP) has paved the way for novel, more detailed and accurate molecular diagnostic classification of cancer. With the information from the HGP, cancers can be categorized not only on the morphology or limited immunohistological markers, but according to their "molecular fingerprints" such as gene expression profiles. Technologies detecting these signatures have been developed to simultaneously measure multiple genes or proteins in one assay with high sensitivity and specificity.
objectiveTo evaluate potential innovative novel methods of diagnosis and prognosis in pediatric cancers.
methodsWe selected a variety of promising new diagnostic technologies utilizing molecular signatures which harness the results from HGP including DNA microarray, bead-based detection system, multiplexed RT-PCR, MesoScale Discovery (MSD), and isotope-coded affinity tag (ICAT), as well as their applications in biomarker discovery for pediatric tumors. Label-free detection technologies and the obstacles for taking these new diagnostic technologies from the bench to the bedside are also discussed.
conclusionThe use of molecular signatures is gaining acceptance in clinical practice. However, technical challenges need to be addressed before incorporating these new technologies into current diagnostic and prognostic schema.
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.