ArticleBritish journal of cancer2015
The expression of tumour suppressors and proto-oncogenes in tissues susceptible to their hereditary cancers.
Article in British journal of cancer, 2015. 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, 14 citations in OpenAlex.
- Advances in Genetic Reprogramming: Prospects from Developmental Biology to Regenerative Medicine.Current medicinal chemistry · 2024Review
- Evaluation of Mutagenicity and Anti-Mutagenicity of Various Bean Milks UsingFoods (Basel, Switzerland) · 2022Article
- Resolving Peto's paradox: Modeling the potential effects of size-related metabolic changes, and of the evolution of immune policing and cancer suppression.Evolutionary applications · 2020Article
- Gender Differential Transcriptome in Gastric and Thyroid Cancers.Frontiers in genetics · 2020Article
- Secretome profiling identifies neuron-derived neurotrophic factor as a tumor-suppressive factor in lung cancer.JCI insight · 2019Article
- Peto's paradox and the hallmarks of cancer: constructing an evolutionary framework for understanding the incidence of cancer.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015Review
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStudies of familial cancers have found that only a small subset of tissues are affected by inherited mutations in a given tumour suppressor gene (TSG) or proto-oncogene (POG), even though the mutation is present in all tissues. Previous tests have shown that tissue specificity is not due to the presence vs absence of gene expression, as TSGs and POGs are expressed in nearly every type of normal human tissue. Using published microarray expression data we tested the related hypothesis that tissue-specific expression of a TSG or POG is highest in tissue where it is of oncogenic importance.
methodsWe tested this hypothesis by examining whether individual TSGs and POGs had higher expression in the normal (noncancerous) tissues where they are implicated in familial cancers relative to those tissues where they are not. We examined data for 15 TSGs and 8 POGs implicated in familial cancer across 12 human tissue types.
resultsWe found a significant difference between expression levels in susceptible vs nonsusceptible tissues. It was found that 9 (60%, P<0.001) of the TSGs and 5 (63%, P<0.001) of the POGs had their highest expression level in the tissue type susceptible to their oncogenic effect.
conclusionsThis highly significant association supports the hypothesis that mutation of a specific TSG or POG is likely to be most oncogenic in the tissue where the gene has its highest level of expression. This suggests that high expression in normal tissues is a potential marker for linking cancer-related genes with their susceptible tissues.
Indexed as
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.