ArticleeLife2021
Infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
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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
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Fourier Transform Infrared (FTIR) Spectroscopy as a Tool to Characterize Exercise and Physical Activity: A Systematic Review.Sports medicine (Auckland, N.Z.) · 2025Pooled it
- Multidimensional Infrared Spectroscopy as a Bioanalytical Technique.Chemical reviews · 2026Review
- Preanalytical Workflow Establishment for Reproducible Clinical Blood-Based Infrared Molecular Fingerprinting.Analytical chemistry · 2026Article
- Review
- Serum metabolomics identifies unique inflammatory signatures to distinguish rheumatoid arthritis responders and non-responders to TNF inhibitor therapy.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Toward Informative Representations of Blood-Based Infrared Spectra via Unsupervised Deep Learning.Journal of biophotonics · 2025Article
- Bridging Spectral Gaps: Cross-Device Model Generalization in Blood-Based Infrared Spectroscopy.Analytical chemistry · 2025Article
- Electric-Field Molecular Fingerprinting to Probe Cancer.ACS central science · 2025Article
- Assessing lung cancer progression and survival with infrared spectroscopy of blood serum.BMC medicine · 2025Article
- The Perils of Molecular Interpretations from Vibrational Spectra of Complex Samples.Angewandte Chemie (International ed. in English) · 2024Review
- CODI: Enhancing machine learning-based molecular profiling through contextual out-of-distribution integration.PNAS nexus · 2024Article
- Decoding myasthenia gravis: advanced diagnosis with infrared spectroscopy and machine learning.Scientific reports · 2024Article
- Plasma infrared fingerprinting with machine learning enables single-measurement multi-phenotype health screening.Cell reports. Medicine · 2024Article
- Distinguishing IDH mutation status in gliomas using FTIR-ATR spectra of peripheral blood plasma indicating clear traces of protein amyloid aggregation.BMC cancer · 2024Article
- Probing Blood Plasma Protein Glycosylation with Infrared Spectroscopy.Analytical chemistry · 2024Article
- Early cancer detection by SERS spectroscopy and machine learning.Light, science & applications · 2023Article
- Blood-Derived Exosomal hTERT mRNA in Patients with Lung Cancer: Characterization and Correlation with Response to Therapy.Biomedicines · 2023Article
- Limits and Prospects of Molecular Fingerprinting for Phenotyping Biological Systems Revealed throughAnalytical chemistry · 2023Article
- Non-Invasive Disease Specific Biomarker Detection Using Infrared Spectroscopy: A Review.Molecules (Basel, Switzerland) · 2023Review
- Fast and Deep Diagnosis Using Blood-Based ATR-FTIR Spectroscopy for Digestive Tract Cancers.Biomolecules · 2022Article
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent omics analyses of human biofluids provide opportunities to probe selected species of biomolecules for disease diagnostics. Fourier-transform infrared (FTIR) spectroscopy investigates the full repertoire of molecular species within a sample at once. Here, we present a multi-institutional study in which we analysed infrared fingerprints of plasma and serum samples from 1639 individuals with different solid tumours and carefully matched symptomatic and non-symptomatic reference individuals. Focusing on breast, bladder, prostate, and lung cancer, we find that infrared molecular fingerprinting is capable of detecting cancer: training a support vector machine algorithm allowed us to obtain binary classification performance in the range of 0.78-0.89 (area under the receiver operating characteristic curve [AUC]), with a clear correlation between AUC and tumour load. Intriguingly, we find that the spectral signatures differ between different cancer types. This study lays the foundation for high-throughput onco-IR-phenotyping of four common cancers, providing a cost-effective, complementary analytical tool for disease recognition.
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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.