ReviewClinical and translational medicine2026
Liquid biopsy biomarkers for early detection of gastrointestinal cancers: Current landscape and emerging technologies.
Review in Clinical and translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Advanced integrated SERS-based strategies for the early diagnosis of upper gastrointestinal cancers.Journal of nanobiotechnology · 2026Review
- Early detection of multiple cancers: the era of methylation-based liquid biopsy.Frontiers in oncology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Early detection of gastrointestinal (GI) cancers remains a critical unmet clinical need, as most patients are diagnosed at advanced stages when prognosis is poor. Liquid biopsy has emerged as a transformative approach for minimally invasive cancer detection by analysing tumour-derived analytes in blood and other body fluids. Recent advances in circulating tumour DNA (ctDNA) sequencing, cell-free DNA methylation profiling, fragmentomics, extracellular vesicle and exosome characterisation, circulating tumour cell isolation and tumour-educated platelets have markedly improved sensitivity and specificity for detecting incipient malignancies. Despite these advances, sensitivity in stage I disease remains limited due to low tumour burden and minimal analyte scaling, resulting in false-negative results for small or indolent lesions. In addition, clonal haematopoiesis derived alterations can confound mutation-based assays, highlighting the need for epigenetic and multi-analyte approaches to improve specificity. Ultimately, widespread clinical adoption will require standardised, prospective trials demonstrating diagnostic accuracy and a reduction in cancer-specific mortality. Multi-analyte and machine learning-driven approaches, integrating DNA, RNA, protein and epigenomic signals, are now in late-stage clinical trials and poised for clinical translation. United States Food and Drug Administration approvals of blood-based colorectal cancer screening tests and laboratory-developed assays for hepatocellular carcinoma exemplify the translational momentum in this field. Here, we review the current landscape of liquid biopsy biomarkers for GI cancers, emphasising technological innovations, clinical performance and ongoing trials. We also discuss key challenges, including sensitivity in stage I disease, specificity amidst clonal haematopoiesis and integration with established screening paradigms. The continued evolution of assay technologies and translational research heralds a paradigm shift towards precision early detection of GI cancers, with the potential to substantially reduce mortality through earlier intervention. KEY POINTS: Liquid biopsy technologies are advancing rapidly for early detecion of GI cancers, using ctDNA, methylation profiling, fragmentomics, EVs, CTCs, and TEPs. Limited sensitivity in stage I disease remains a key barrier, largely due to low tumor burden and analyte scarcity. Clonal hematopoieses confounds mutation-based assays, emphasizing the need for epigenetic and multi-analyte strategies to improve specificity. Multi-analyte, machine-learning-driven platforms are nearing clinical translation, supported by late-stage trials and recent FDA approvals.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.