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Background: Circulating long non-coding RNAs (lncRNAs) are emerging as minimally invasive biomarkers for cancer detection; however, their clinical utility remains insufficiently validated. We evaluated the diagnostic performance of plasma lncRNAs and developed and externally validated multivariable models for detecting non-metastatic colon cancer. Methods: Plasma lncRNA expression was quantified using reverse transcription quantitative PCR (RT-qPCR) in a training cohort of patients with histopathologically confirmed non-metastatic colon cancer and healthy controls. Multivariable logistic regression models integrating molecular and demographic variables were developed in the training cohort and externally validated in an independent cohort. Results: retained good discrimination but with reduced overall performance. Conclusions: Plasma lncRNA-based multivariable models show promise as minimally invasive tools for the early detection of colon cancer and highlight the importance of external validation in biomarker development.
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Cobzariu et al. (2026) studied this question.
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