Related Experiment Video
Updated: Jan 27, 2026

04:01
Author Spotlight: Modeling Brain Tumors In Vivo Using Electroporation-Based Delivery of Plasmid DNA Representing Patient Mutation Signatures
Published on: June 23, 2023
3.0K
Mutational Signatures in Mandibular Ameloblastoma Correlate with Smoking
P Guan1,2,3, S F Wong2, J Q Lim2,4
11 Integrated Biostatistics and Bioinformatics Programme, Duke-NUS Medical School, Singapore.
Journal of Dental Research
|March 28, 2019
Summary
This study suggests tobacco use may be a risk factor for ameloblastoma, a rare jaw tumor. Genetic analysis revealed mutational signatures linked to tobacco, highlighting potential prevention strategies.
Area of Science:
- Oncology
- Genetics
- Oral Pathology
Background:
- Ameloblastoma is a rare odontogenic tumor with poorly understood etiology and risk factors.
- Limited genomic data exists for ameloblastoma, hindering molecular characterization.
Purpose of the Study:
- To investigate the molecular basis and potential risk factors of mandibular ameloblastoma.
- To identify genetic alterations and mutational signatures in ameloblastoma.
Main Methods:
- Whole exome sequencing was performed on 11 mandibular ameloblastoma samples.
- Analysis of mutational signatures, including COSMIC signatures 4 and 29.
- Identification of mutations in key genes such as BRAF, BCOR, and CDC73.
Main Results:
- Two convergent mutational signatures associated with tobacco carcinogens and chewing habits were identified.
- BRAF hotspot mutations (V600E) and significant inter- and intratumor heterogeneity were observed.
- Recurrent mutations in BCOR and CDC73 genes were found, potentially impacting tumorigenesis and recurrence.
Conclusions:
- Tobacco usage is a potential risk factor for ameloblastoma, warranting further investigation.
- Genetic profiling provides insights into ameloblastoma etiology and suggests potential therapeutic targets.
- Findings highlight the need for screening and prevention strategies, particularly in Asian populations.
Related Concept Videos
Mutations
94.5K
Overview
94.5K
Mutations
44.2K
Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
Chromosomal Alterations Are Large-Scale Mutations
While point mutations are changes in a single nucleotide in...
Chromosomal Alterations Are Large-Scale Mutations
While point mutations are changes in a single nucleotide in...
44.2K
Correlations
35.8K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.8K
Viral Mutations
39.8K
A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
39.8K
Correlation and Causation
42.5K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.5K
Correlation
14.8K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
14.8K

