ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
Digital Quantitative Detection for Heterogeneous Protein and mRNA Expression Patterns in Circulating Tumor Cells.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Non-Invasive Assessment of Microvascular Invasion Risk in Hepatocellular Carcinoma Using Liquid Biopsy: Translational Insights and Clinical Implications.Diagnostics (Basel, Switzerland) · 2026Review
- IL4I1+ macrophages drive hepatocellular carcinoma progression by responding to biomechanical cues.JHEP reports : innovation in hepatology · 2026Article
- Detection of circulating tumor cells in cholangiocarcinoma via epithelial-mesenchymal transition markers and their application.iScience · 2026Article
- Reprogramming Metabolism and Immunity: Nanotechnology's Promise for Hepatocellular Carcinoma Precision Therapy.International journal of nanomedicine · 2026Review
- Optimized digital polymerase chain reaction enables detection of telomerase reverse transcriptase C228T mutation for prognostic assessment in hepatocellular carcinoma.World journal of gastrointestinal oncology · 2025Article
- AI-driven virtual cell models in preclinical research: technical pathways, validation mechanisms, and clinical translation potential.NPJ digital medicine · 2025Review
- Prediction of Lung Cancer Metastasis Risk Based on Single-Cell Metabolic Profiling of Circulating Tumor Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Advances in research regarding epithelial-mesenchymal transition and prostate cancer.Frontiers in cell and developmental biology · 2025Review
- Digital Quantitative Detection for Heterogeneous Protein and mRNA Expression Patterns in Circulating Tumor Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- TBA-MLR score: a metabolic-immune prognostic biomarker for postoperative hepatocellular carcinoma.Frontiers in immunology · 2025Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Hepatocellular carcinoma (HCC) circulating tumor cells (CTCs) exhibit significant phenotypic heterogeneity and diverse gene expression profiles due to epithelial-mesenchymal transition (EMT). However, current detection methods lack the capacity for simultaneous quantification of multidimensional biomarkers, impeding a comprehensive understanding of tumor biology and dynamic changes. Here, the CTC Digital Simultaneous Cross-dimensional Output and Unified Tracking (d-SCOUT) technology is introduced, which enables simultaneous quantification and detailed interpretation of HCC transcriptional and phenotypic biomarkers. Based on self-developed multi-real-time digital PCR (MRT-dPCR) and algorithms, d-SCOUT allows for the unified quantification of Asialoglycoprotein Receptor (ASGPR), Glypican-3 (GPC-3), and Epithelial Cell Adhesion Molecule (EpCAM) proteins, as well as Programmed Death Ligand 1 (PD-L1), GPC-3, and EpCAM mRNA in HCC CTCs, with good sensitivity (LOD of 3.2 CTCs per mL of blood) and reproducibility (mean %CV = 1.80-6.05%). In a study of 99 clinical samples, molecular signatures derived from HCC CTCs demonstrated strong diagnostic potential (AUC = 0.950, sensitivity = 90.6%, specificity = 87.5%). Importantly, by integrating machine learning, d-SCOUT allows clustering of CTC characteristics at the mRNA and protein levels, mapping normalized heterogeneous 2D molecular profiles to assess HCC metastatic risk. Dynamic digital tracking of eight HCC patients undergoing different treatments visually illustrated the therapeutic effects, validating this technology's capability to quantify the treatment efficacy. CTC d-SCOUT enhances understanding of tumor biology and HCC management.
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Registered trials
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