Next-Generation Sequencing-Based Analysis of the Genetic Mutation Spectrum in Colorectal Cancer: A Large Single‑Center Study From Southeast China With Cross‑Population Comparison.
Colorectal cancer (CRC) exhibits considerable molecular heterogeneity.
- p-value p < 0.0001
- p-value p = 0.010
APA
Xu H, Luo R, et al. (2026). Next-Generation Sequencing-Based Analysis of the Genetic Mutation Spectrum in Colorectal Cancer: A Large Single‑Center Study From Southeast China With Cross‑Population Comparison.. Molecular carcinogenesis. https://doi.org/10.1002/mc.70123
MLA
Xu H, et al.. "Next-Generation Sequencing-Based Analysis of the Genetic Mutation Spectrum in Colorectal Cancer: A Large Single‑Center Study From Southeast China With Cross‑Population Comparison.." Molecular carcinogenesis, 2026.
PMID
42013288
DOI
10.1002/mc.70123
Abstract
Colorectal cancer (CRC) exhibits considerable molecular heterogeneity. This study aimed to delineate the mutational landscape and investigate the associations between frequently mutated genes and key clinicopathological features in a single-center cohort of CRC patients using next-generation sequencing (NGS). This study included 381 patients with pathologically confirmed colorectal cancer. Tumor tissue samples were collected and subjected to targeted sequencing and variant analysis of 40 cancer-related genes using an NGS platform. Associations between gene mutation status and clinicopathological features-including tumor location, clinical stage, and MSI status-were assessed using the χ test. Sequencing analysis revealed that 12 patients harbored no detectable mutations in the targeted genes. Among the remaining 369 patients, somatic variants were identified across 30 genes. Regarding mutational patterns, 115 cases (30.2%) exhibited single-gene mutations, 158 cases (41.5%) showed two co-occurring mutations, and 96 cases (25.2%) carried alterations in three or more genes. The most frequently mutated genes were TP53 (76.9%), KRAS (47.8%), and PIK3CA (18.9%). TP53 mutations were significantly enriched in left-sided colon cancers (p < 0.0001). In contrast, both KRAS (p = 0.010) and PIK3CA (p = 0.001) mutations were significantly associated with right-sided colon cancers. Furthermore, the frequency of PIK3CA mutations was significantly higher in MSI-high tumors compared to MSS tumors. This study demonstrates significant associations between specific gene mutations and distinct clinicopathological characteristics. The findings underscore the importance of integrating molecular profiling with conventional clinicopathological parameters for precise stratification.
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