ArticleBritish journal of cancer2023
A spectroscopic liquid biopsy for the earlier detection of multiple cancer types.
Article in British journal of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.
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Who cites it
31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 46 citations in OpenAlex.
- Clinical utility of liquid biopsy in distinguishing true progression from radiation necrosis and pseudoprogression in malignant brain tumor.Journal of neuro-oncology · 2026Pooled it
- AI-Derived Blood Biomarkers for Ovarian Cancer Diagnosis: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Multi-cancer early detection tests for general population screening: a systematic literature review.Health technology assessment (Winchester, England) · 2025Pooled it
- Preanalytical Workflow Establishment for Reproducible Clinical Blood-Based Infrared Molecular Fingerprinting.Analytical chemistry · 2026Article
- Artificial Intelligence in Lung Cancer: From Early Detection to Personalized Therapy.Current oncology reports · 2026Review
- Investigating the Secreted Proteome of Primary and Metastatic Human Brain Tumour Explants Maintained on a Miniaturised Perfusion Device.Current oncology (Toronto, Ont.) · 2026Article
- A Multiomic Liquid Biopsy for the Earlier Detection of Colorectal Cancer.Cancer prevention research (Philadelphia, Pa.) · 2026Article
- Early Cancer Detection: What's Going on and What's Next.MedComm · 2026Review
- A Highly Sensitive Methylation Assay for Prostate Cancer Diagnosis.The world journal of men's health · 2026Article
- From Lab to Clinic: Artificial Intelligence with Spectroscopic Liquid Biopsies.Diagnostics (Basel, Switzerland) · 2025Review
- Colorectal cancer molecular profiling: Opportunities for early detection.Clinical and translational medicine · 2025Review
- Non-invasive diagnosis of endometrioma through cervical swabs using Fourier transform infrared spectroscopy.Turkish journal of obstetrics and gynecology · 2025Article
- Molecular spectroscopy of blood plasma differentiates metabolic dysfunction-associated steatohepatitis from steatosis.Journal of translational medicine · 2025Article
- Untargeted metabolomic profiling of serum and urine in kidney cancer: a non-invasive approach for biomarker discovery.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Transcriptomic profiling of blood platelets identifies a diagnostic signature for pancreatic cancer.British journal of cancer · 2025Article
- Liquid biopsies for early detection and monitoring of cancer: advances, challenges, and future directions.Annals of medicine and surgery (2012) · 2025Review
- Liquid biopsy in gynecological cancers: a translational framework from molecular insights to precision oncology and clinical practice.Journal of experimental & clinical cancer research : CR · 2025Review
- Electric-Field Molecular Fingerprinting to Probe Cancer.ACS central science · 2025Article
- High-Precision Biochemical Sensing with Resonant Monocrystalline Plasmonic Ag Microcubes in the Mid-Infrared Spectrum.ACS nano · 2025Article
- The Promise of Infrared Spectroscopy in Liquid Biopsies for Solid Cancer Detection.Diagnostics (Basel, Switzerland) · 2025Review
Corrections and comments
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Authors and funding
14 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundA rapid, low-cost blood test that can be applied to reliably detect multiple different cancer types would be transformational.
methodsIn this large-scale discovery study (n = 2092 patients) we applied the Dxcover® Cancer Liquid Biopsy to examine eight different cancers. The test uses Fourier transform infrared (FTIR) spectroscopy and machine-learning algorithms to detect cancer.
resultsArea under the receiver operating characteristic curve (ROC) values were calculated for eight cancer types versus symptomatic non-cancer controls: brain (0.90), breast (0.76), colorectal (0.91), kidney (0.91), lung (0.91), ovarian (0.86), pancreatic (0.84) and prostate (0.86). We assessed the test performance when all eight cancer types were pooled to classify 'any cancer' against non-cancer patients. The cancer versus asymptomatic non-cancer classification detected 64% of Stage I cancers when specificity was 99% (overall sensitivity 57%). When tuned for higher sensitivity, this model identified 99% of Stage I cancers (with specificity 59%).
conclusionsThis spectroscopic blood test can effectively detect early-stage disease and can be fine-tuned to maximise either sensitivity or specificity depending on the requirements from different healthcare systems and cancer diagnostic pathways. This low-cost strategy could facilitate the requisite earlier diagnosis, when cancer treatment can be more effective, or less toxic. STATEMENT OF TRANSLATIONAL RELEVANCE: The earlier diagnosis of cancer is of paramount importance to improve patient survival. Current liquid biopsies are mainly focused on single tumour-derived biomarkers, which limits test sensitivity, especially for early-stage cancers that do not shed enough genetic material. This pan-omic liquid biopsy analyses the full complement of tumour and immune-derived markers present within blood derivatives and could facilitate the earlier detection of multiple cancer types. There is a low barrier to integrating this blood test into existing diagnostic pathways since the technology is rapid, simple to use, only minute sample volumes are required, and sample preparation is minimal. In addition, the spectroscopic liquid biopsy described in this study has the potential to be combined with other orthogonal tests, such as cell-free DNA, which could provide an efficient route to diagnosis. Cancer treatment can be more effective when given earlier, and this low-cost strategy has the potential to improve patient prognosis.
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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 OpenQuestion graph.