ArticleScientific reports2023
A straightforward method to quantify circulating mRNAs as biomarkers of colorectal cancer.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Article
- Aimed at Subtype Discrimination but Yielding a Shared Marker: Integrative Analysis of Blood Transcriptomes Reveals UpregulatedClinical and experimental gastroenterology · 2026Article
- A promising frontier of circulating messenger RNA in liquid biopsy: From mechanisms to clinical applications.International journal of cancer · 2025Review
- Integrating AI and RNA biomarkers in cancer: advances in diagnostics and targeted therapies.Cell communication and signaling : CCS · 2025Review
- Circulating biomarkers for diagnosis and response to therapies in cancer patients.International review of cell and molecular biology · 2025Review
- Pan-cancer analysis of co-inhibitory molecules revealing their potential prognostic and clinical values in immunotherapy.Frontiers in immunology · 2025Article
- Liquid biopsy: from concept to clinical application.Scientific reports · 2023Article
- Clusterin Expression in Colorectal Carcinomas.International journal of molecular sciences · 2023Review
- Exploring the Role of Circulating Cell-Free RNA in the Development of Colorectal Cancer.International journal of molecular sciences · 2023Review
Corrections and comments
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Authors and funding
14 authors.
Funding
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Abstract
Optimizing the biomarker combination to be analyzed in liquid biopsies should improve personalized medicine. We developed a method to purify circulating cell-free mRNAs from plasma samples and to quantify them by RT-qPCR. We selected three candidate colorectal cancer biomarkers (B2M, TIMP-1, and CLU). Their mRNA levels were significantly higher in plasma of patients with metastatic colorectal cancer patients (mCRC) (n = 107) than in healthy individuals (HI) (n = 53). To increase the discriminating performance of our method, we analyzed the sum of the three mRNA levels (BTC index). The area under the ROC curve (AUC) to estimate the BTC index capacity to discriminate between mCRC and HI plasma was 0.903. We also determined the optimal BTC index cut-off to distinguish between plasma samples, with 82% of sensitivity and 93% of specificity. By using mRNA as a novel liquid biopsy analytical parameter, our method has the potential to facilitate rapid screening of CRCm.
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