Document Type
Article
Publication Date
10-1-2024
Original Citation
Küçükosmanoglu A,
van der Borden C,
de Boer L,
Verhaak R,
Noske D,
Wurdinger T,
Radonic T,
Westerman B.
Oncogenic composite mutations can be predicted by co-mutations and their chromosomal location. Mol Oncol. 2024;18(10):2407-22
Keywords
JGM, Humans, Mutation, Neoplasms, Cell Line, Tumor, Chromosomes, Human, Class I Phosphatidylinositol 3-Kinases, Oncogenes
JAX Source
Mol Oncol. 2024;18(10):2407-22
ISSN
1878-0261
PMID
38757376
DOI
https://doi.org/10.1002/1878-0261.13636
Abstract
Genetic heterogeneity in tumors can show a remarkable selectivity when two or more independent genetic events occur in the same gene. This phenomenon, called composite mutation, points toward a selective pressure, which frequently causes therapy resistance to mutation-specific drugs. Since composite mutations have been described to occur in sub-clonal populations, they are not always captured through biopsy sampling. Here, we provide a proof of concept to predict composite mutations to anticipate which patients might be at risk for sub-clonally driven therapy resistance. We found that composite mutations occur in 5% of cancer patients, mostly affecting the PIK3CA, EGFR, BRAF, and KRAS genes, which are common precision medicine targets. Furthermore, we found a strong and significant relationship between the frequencies of composite mutations with commonly co-occurring mutations in a non-composite context. We also found that co-mutations are significantly enriched on the same chromosome. These observations were independently confirmed using cell line data. Finally, we show the feasibility of predicting compositive mutations based on their co-mutations (AUC 0.62, 0.81, 0.82, and 0.91 for EGFR, PIK3CA, KRAS, and BRAF, respectively). This prediction model could help to stratify patients who are at risk of developing therapy resistance-causing mutations.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.