Clinical implications of whole genome sequencing in metastatic colorectal cancer.
1/5 보강
Whole genome sequencing (WGS) provides complete genetic information in one test, supporting the shift towards individualized metastatic colorectal cancer (mCRC) treatment.
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APA
Smabers LP, Nienhuis HH, et al. (2025). Clinical implications of whole genome sequencing in metastatic colorectal cancer.. Oncogene, 44(48), 4686-4698. https://doi.org/10.1038/s41388-025-03618-3
MLA
Smabers LP, et al.. "Clinical implications of whole genome sequencing in metastatic colorectal cancer.." Oncogene, vol. 44, no. 48, 2025, pp. 4686-4698.
PMID
41203868 ↗
Abstract 한글 요약
Whole genome sequencing (WGS) provides complete genetic information in one test, supporting the shift towards individualized metastatic colorectal cancer (mCRC) treatment. Although WGS is validated as a diagnostic test, the potential clinical implications for mCRC remain unknown. We evaluated the clinical consequences of WGS in 96 mCRC patients. Clinically actionable biomarkers were identified by a molecular biologist and medical oncologist, with added value defined as biomarkers undetected by standard diagnostics. We evaluated how these biomarkers informed treatment decisions. We used patient-derived organoids (PDOs) to test drug sensitivity to MET, MEK, and CDK4/6 inhibitors, translating genomic findings into functional evidence. WGS yields biomarkers with clinical implications in 81% of patients, with 49% (N = 47/96) identified by WGS that were not detected by guideline-based diagnostics, and 40% (N = 38/96) not detected by applied diagnostics. The proportion of patients receiving biomarker-based treatment has increased from 11% to at least 24% by WGS. PDOs with actionable biomarkers showed clear differential response to different biomarker-based treatments. WGS enables considerably more personalized therapeutic interventions and represents a promising approach in advancing precision oncology for mCRC patients. PDO pre-screening can refine therapy by identifying (in)effective treatments in a patient-specific context, to accelerate the development of personalized treatment.
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