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Updated: Jul 25, 2025

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres
Published on: July 22, 2020
Mathematical modeling the order of driver gene mutations in colorectal cancer
Lingling Li1,2, Yulu Hu2, Yunshan Xu3
1School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, China.
Abstract:
Tumor heterogeneity is a large obstacle for cancer study and treatment. Different cancer patients may involve different combinations of gene mutations or the distinct regulatory pathways for inducing the progression of tumor. Investigating the pathways of gene mutations which can cause the formation of tumor can provide a basis for the personalized treatment of cancer. Studies suggested that KRAS, APC and TP53 are the most significant driver genes for colorectal cancer. However, it is still an open issue regarding the detailed mutation order of these genes in the development of colorectal cancer. For this purpose, we analyze the mathematical model considering all orders of mutations in oncogene, KRAS and tumor suppressor genes, APC and TP53, and fit it on data describing the incidence rates of colorectal cancer at different age from the Surveillance Epidemiology and End Results registry in the United States for the year 1973-2013. The specific orders that can induce the development of colorectal cancer are identified by the model fitting. The fitting results indicate that the mutation orders with KRAS → APC → TP53, APC → TP53 → KRAS and APC → KRAS → TP53 explain the age-specific risk of colorectal cancer with very well. Furthermore, eleven pathways of gene mutations can be accepted for the mutation order of genes with KRAS → APC → TP53, APC → TP53 → KRAS and APC → KRAS → TP53, and the alternation of APC acts as the initiating or promoting event in the colorectal cancer. The estimated mutation rates of cells in the different pathways demonstrate that genetic instability must exist in colorectal cancer with alterations of genes, KRAS, APC and TP53.
Insights
Understanding the gene mutation order in colorectal cancer (CRC) is key for personalized treatment. This study identified specific KRAS, APC, and TP53 mutation sequences that accurately predict CRC development across different ages.
Area of Science:
- Oncology
- Genetics
- Mathematical Biology
Background:
- Tumor heterogeneity presents significant challenges in cancer research and treatment.
- Gene mutations and regulatory pathways drive tumor progression, necessitating personalized treatment approaches.
- KRAS, APC, and TP53 are identified as critical driver genes in colorectal cancer (CRC).
Purpose of the Study:
- To investigate the precise order of mutations in KRAS, APC, and TP53 genes during colorectal cancer development.
- To identify mutation pathways that explain age-specific CRC incidence rates.
- To provide a basis for understanding CRC pathogenesis and developing personalized therapies.
Main Methods:
- Mathematical modeling was employed to analyze all possible mutation orders of KRAS, APC, and TP53.
- The model was fitted using age-specific incidence data for colorectal cancer from the US Surveillance Epidemiology and End Results (SEER) registry (1973-2013).
- Statistical analysis identified mutation orders that best explained the observed cancer incidence rates.
Main Results:
- Specific mutation orders, including KRAS → APC → TP53, APC → TP53 → KRAS, and APC → KRAS → TP53, accurately explain age-specific CRC risk.
- Eleven distinct gene mutation pathways were identified as plausible contributors to CRC development.
- The APC gene alteration frequently acts as an initial or promoting event in colorectal cancer.
Conclusions:
- The order of KRAS, APC, and TP53 gene mutations significantly influences colorectal cancer development and incidence.
- The APC gene's role as an early event is highlighted across multiple identified mutation pathways.
- Estimated mutation rates suggest the presence of genetic instability in colorectal cancer involving these key genes.
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