ArticleMolecular oncology2019
Six-gene Assay as a new biomarker in the blood of patients with colorectal cancer: establishment and clinical validation.
Article in Molecular oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Circulating Tumour Cells as Prognostic Biomarkers in Colorectal Cancer: A Systematic Review.International journal of molecular sciences · 2021Pooled it
- Current opinions on CEA in the diagnosis and prognosis of colorectal cancer.Translational oncology · 2026Review
- Cancer and Aging Biomarkers: Classification, Early Detection Technologies and Emerging Research Trends.Biosensors · 2025Review
- Multimodal Framework in Lung Cancer Management: Integrating Liquid Biopsy with Traditional Diagnostic Techniques.Cancer management and research · 2025Review
- Unraveling the multifaceted role of EpCAM in colorectal cancer: an integrated review of its function and interplay with non-coding RNAs.Medical oncology (Northwood, London, England) · 2023Review
- Optimized screening of DNA methylation sites combined with gene expression analysis to identify diagnostic markers of colorectal cancer.BMC cancer · 2023Article
- Dynamic liquid biopsy components as predictive and prognostic biomarkers in colorectal cancer.Journal of experimental & clinical cancer research : CR · 2022Review
- Detection and clinical significance of circulating tumor cells in colorectal cancer.Biomarker research · 2021Review
- Clinical implications of TPO and AOX1 in pediatric papillary thyroid carcinoma.Translational pediatrics · 2021Article
- Low expression of Talin1 is associated with advanced pathological features in colorectal cancer patients.Scientific reports · 2020Article
- Biomarkers for detecting colorectal cancer non-invasively: DNA, RNA or proteins?World journal of gastrointestinal oncology · 2020Review
- Long non-coding RNA KCNQ1OT1 up-regulates CTNND1 by sponging miR-329-3p to induce the proliferation, migration, invasion, and inhibit apoptosis of colorectal cancer cells.Cancer cell international · 2020Article
- Liquid Biopsy as a Tool Exploring in Real-Time Both Genomic Perturbation and Resistance to EGFR Antagonists in Colorectal Cancer.Frontiers in oncology · 2020Review
- Bioinformatics analysis to screen key genes in papillary thyroid carcinoma.Oncology letters · 2020Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
Colorectal cancer (CRC) is the second most common cancer in men and the third most common cancer in women. Although long-term survival has improved over the past 30 years, at least 50% of patients with CRC will develop metastases after diagnosis. In this study, we examined whether quantifying the mRNA of six CRC-related genes in the blood could improve disease assessment through detection of circulating tumor cells (CTC), and thereby improve progression prediction in relapsed CRC patients. Cell spiking assay and RT-PCR were performed with blood samples from healthy volunteers spiked with six CRC cell lines to generate an algorithm, herein called the Six-gene Assay, based on six genes (CEA, EpCAM, CK19, MUC1, EGFR and C-Met) for CTC detection. The CTCs of 50 relapsed CRC patients were then respectively measured by CEA Gene Assay (single-gene assay control) and Six-gene Assay. Subsequently, receiver operating characteristic analysis of the CTC panel performance in diagnosing CRC was conducted for both assays. Moreover, the 2-year progression-free survival (PFS) of all patients was collected, and the application of CEA Gene Assay and Six-gene Assay in predicting PFS was carefully evaluated with different CTC cutoff values. Encouragingly, we successfully constructed the first multiple gene-based algorithm, named the Six-gene Assay, for CTC detection in CRC patients. Six-gene Assay was more sensitive than CEA Gene Assay; for instance, in 50 CRC patients, the positive rate of Six-gene Assay in CTC detection was 82%, whereas that of CEA Gene Assay was only 70%. Moreover, Six-gene Assay was more sensitive and accurate than CEA Gene Assay in diagnosing CRC as well as predicting the 2-year PFS of CRC patients. Statistical analysis demonstrated that CTC numbers measured by Six-gene Assay were significantly associated with 2-year PFS. This novel Six-gene Assay improves the definition of disease status and correlates with PFS in relapsed CRC, and thus holds promise for future clinical applications.
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