Mutational and co-mutational landscape of early onset colorectal cancer
- PMID: 39761813
- PMCID: PMC11856746
- DOI: 10.1080/1354750X.2024.2447089
Mutational and co-mutational landscape of early onset colorectal cancer
Abstract
Introduction: Colorectal cancer (CRC) incidence and mortality before 50 have been rising alarmingly in the recent decades.
Methods: Using a cohort of 10,000 patients, this study investigates the clinical, mutational, and co-mutational features of CRC in early-onset (EOCRC, < 50 years) compared to late-onset (LOCRC, ≥ 50 years).
Results: EOCRC was associated with a higher prevalence of Asian and Hispanic patients, rectal or left-sided tumors (72% vs. 59%), and advanced-stage disease. Molecular analyses revealed differences in mutation patterns, with EOCRC having higher frequencies of TP53 (74% vs. 68%, p < 0.01) and SMAD4 (17% vs. 14%, p = 0.015), while BRAF (5% vs. 11%, p < 0.001) and NOTCH1 (2.7% vs. 4.1%, p = 0.01) mutations were more prevalent in LOCRC. Stratification by tumor site and MSI status highlighted significant location- and age-specific molecular differences, such as increased KRAS and CTNNB1 mutations in right-sided EOCRC and higher BRAF prevalence in MSI-H LOCRC (47% vs. 6.7%, p < 0.001). Additionally, co-occurrence analysis revealed unique mutational networks in EOCRC MSS, including significant co-occurrences of FBXW7 with NOTCH3, RB1, and PIK3R1.
Conclusion: This study highlights the significance of age-specific molecular profiling, offering insights into the unique biology of EOCRC and potential clinical applications.
Keywords: APC; Early-onset colorectal cancer; NGS; TP53; late-onset colorectal cancer; next-generation sequencing.
Plain language summary
The unique mutational and co-mutational patterns identified in early-onset colorectal cancer (EOCRC) highlight the necessity for age-specific molecular profiling. These findings can guide tailored therapeutic approaches and improve precision medicine strategies for younger patients with colorectal cancer.The raised prevalence of advanced-stage disease and unique molecular features in EOCRC, such as higher TP53 and lower APC mutations, highlight the importance of developing age-adapted screening protocols and prognostic tools to detect and manage EOCRC more effectively.
Conflict of interest statement
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