ArticleBiomolecules2022
Fast and Deep Diagnosis Using Blood-Based ATR-FTIR Spectroscopy for Digestive Tract Cancers.
Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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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
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Metabolomics and metabolites in cancer diagnosis and treatment.Molecular biomedicine · 2025Pooled it
- Blood-Based FTIR Spectroscopy as a Minimally Invasive Diagnostic Method for Colorectal Cancer: A Meta-Analysis.Asian Pacific journal of cancer prevention : APJCP · 2024Pooled it
- A New Method for Screening Thalassemia Patients Using Mid-Infrared Spectroscopy.Diagnostics (Basel, Switzerland) · 2025Article
- Review: Detection of Cancer Biomarkers from a Clinical Perspective.International journal of molecular sciences · 2025Review
- A Preliminary Study on Species Identification of Immature Necrophagous Phorid Flies Based on FTIR Spectroscopy.Animals : an open access journal from MDPI · 2025Article
- The Promise of Infrared Spectroscopy in Liquid Biopsies for Solid Cancer Detection.Diagnostics (Basel, Switzerland) · 2025Review
- The Perils of Molecular Interpretations from Vibrational Spectra of Complex Samples.Angewandte Chemie (International ed. in English) · 2024Review
- The utilization of blood serum ATR-FTIR spectroscopy for the identification of gastric cancer.Discover oncology · 2024Article
- Perspectives of FTIR as Promising Tool for Pathogen Diagnosis, Sanitary and Welfare Monitoring in Animal Experimentation Models: A Review Based on Pertinent Literature.Microorganisms · 2024Review
- Distinguishing IDH mutation status in gliomas using FTIR-ATR spectra of peripheral blood plasma indicating clear traces of protein amyloid aggregation.BMC cancer · 2024Article
- Rapid diagnosis of cervical cancer based on serum FTIR spectroscopy and support vector machines.Lasers in medical science · 2023Article
- Point-of-Care Disease Screening in Primary Care Using Saliva: A Biospectroscopy Approach for Lung Cancer and Prostate Cancer.Journal of personalized medicine · 2023Article
- Translating Biospectroscopy Techniques to Clinical Settings: A New Paradigm in Point-of-Care Screening and/or Diagnostics.Journal of personalized medicine · 2023Article
- ATR-FTIR Spectroscopy with Chemometrics for Analysis of Saliva Samples Obtained in a Lung-Cancer-Screening Programme: Application of Swabs as a Paradigm for High Throughput in a Clinical Setting.Journal of personalized medicine · 2023Article
- A Review of Machine Learning Methods Recently Applied to FTIR Spectroscopy Data for the Analysis of Human Blood Cells.Micromachines · 2023Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR) of liquid biofluids enables the probing of biomolecular markers for disease diagnosis, characterized as a time and cost-effective approach. It remains poorly understood for fast and deep diagnosis of digestive tract cancers (DTC) to detect abundant changes and select specific markers in a broad spectrum of molecular species. Here, we present a diagnostic protocol of DTC in which the in-situ blood-based ATR-FTIR spectroscopic data mining pathway was designed for the identification of DTC triages in 252 blood serum samples, divided into the following groups: liver cancer (LC), gastric cancer (GC), colorectal cancer (CC), and their different three stages respectively. The infrared molecular fingerprints (IMFs) of DTC were measured and used to build a 2-dimensional second derivative spectrum (2D-SD-IR) feature dataset for classification, including absorbance and wavenumber shifts of FTIR vibration peaks. By comparison, the Partial Least-Squares Discriminant Analysis (PLS-DA) and backpropagation (BP) neural networks are suitable to differentiate DTCs and pathological stages with a high sensitivity and specificity of 100% and averaged more than 95%. Furthermore, the measured IMF data was mutually validated via clinical blood biochemistry testing, which indicated that the proposed 2D-SD-IR-based machine learning protocol greatly improved DTC classification performance.
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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.