ArticleMolecular cancer2011
The structural impact of cancer-associated missense mutations in oncogenes and tumor suppressors.
Article in Molecular cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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
34 citing papers in PubMed, 68 citations in OpenAlex.
- Unsupervised learning reveals landscape of local structural motifs across protein classes.Bioinformatics (Oxford, England) · 2025Article
- Protein structural context of cancer mutations reveals molecular mechanisms and candidate driver genes.Cell reports · 2024Article
- Mutations observed in somatic evolution reveal underlying gene mechanisms.Communications biology · 2023Article
- Loss-of-function, gain-of-function and dominant-negative mutations have profoundly different effects on protein structure.Nature communications · 2022Article
- The 3D mutational constraint on amino acid sites in the human proteome.Nature communications · 2022Article
- Article
- Pathogenic missense protein variants affect different functional pathways and proteomic features than healthy population variants.PLoS biology · 2021Article
- SMAD4 mutations identified in Iranian patients with colorectal cancer and polyp.Gastroenterology and hepatology from bed to bench · 2021Article
- PSCAN: Spatial scan tests guided by protein structures improve complex disease gene discovery and signal variant detection.Genome biology · 2020Article
- Protein-Protein Interactions Mediated by Intrinsically Disordered Protein Regions Are Enriched in Missense Mutations.Biomolecules · 2020Article
- PertInInt: An Integrative, Analytical Approach to Rapidly Uncover Cancer Driver Genes with Perturbed Interactions and Functionalities.Cell systems · 2020Article
- In silico analysis for determining the deleterious nonsynonymous single nucleotide polymorphisms ofMolecular biology research communications · 2019Article
- Finding driver mutations in cancer: Elucidating the role of background mutational processes.PLoS computational biology · 2019Article
- A CATH domain functional family based approach to identify putative cancer driver genes and driver mutations.Scientific reports · 2019Article
- Article
- Mutational signatures and mutable motifs in cancer genomes.Briefings in bioinformatics · 2018Review
- The Emerging Potential for Network Analysis to Inform Precision Cancer Medicine.Journal of molecular biology · 2018Review
- Computational Approaches to Prioritize Cancer Driver Missense Mutations.International journal of molecular sciences · 2018Review
- Two critical positions in zinc finger domains are heavily mutated in three human cancer types.PLoS computational biology · 2018Article
- Comprehensive Analysis of Constraint on the Spatial Distribution of Missense Variants in Human Protein Structures.American journal of human genetics · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrent large-scale cancer sequencing projects have identified large numbers of somatic mutations covering an increasing number of different cancer tissues and patients. However, the characterization of these mutations at the structural and functional level remains a challenge.
resultsWe present results from an analysis of the structural impact of frequent missense cancer mutations using an automated method. We find that inactivation of tumor suppressors in cancer correlates frequently with destabilizing mutations preferably in the core of the protein, while enhanced activity of oncogenes is often linked to specific mutations at functional sites. Furthermore, our results show that this alteration of oncogenic activity is often associated with mutations at ATP or GTP binding sites.
conclusionsWith our findings we can confirm and statistically validate the hypotheses for the gain-of-function and loss-of-function mechanisms of oncogenes and tumor suppressors, respectively. We show that the distinct mutational patterns can potentially be used to pre-classify newly identified cancer-associated genes with yet unknown function.
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.