ArticleCancers2022
Liquid Biopsy for Pancreatic Cancer Detection Using Infrared Spectroscopy.
Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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Who cites it
14 citing papers in PubMed, 32 citations in OpenAlex.
- Artificial intelligence in pancreatic cancer: applications in early detection, tumor staging, and survival prediction-a comprehensive review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Review: Detection of Cancer Biomarkers from a Clinical Perspective.International journal of molecular sciences · 2025Review
- 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
- Molecular spectroscopy of blood plasma differentiates metabolic dysfunction-associated steatohepatitis from steatosis.Journal of translational medicine · 2025Article
- The Promise of Infrared Spectroscopy in Liquid Biopsies for Solid Cancer Detection.Diagnostics (Basel, Switzerland) · 2025Review
- Advancing frontline early pancreatic cancer detection using within-class feature extraction in FTIR spectroscopy.Scientific reports · 2024Article
- Using 2D-IR Spectroscopy to Measure the Structure, Dynamics, and Intermolecular Interactions of Proteins in HAccounts of chemical research · 2024Review
- Combined analytical approach empowers precise spectroscopic interpretation of subcellular components of pancreatic cancer cells.Analytical and bioanalytical chemistry · 2023Article
- Rapid diagnosis of cervical cancer based on serum FTIR spectroscopy and support vector machines.Lasers in medical science · 2023Article
- Global serum profiling: an opportunity for earlier cancer detection.Journal of experimental & clinical cancer research : CR · 2023Review
- Diabetes Mellitus in Pancreatic Cancer: A Distinct Approach to Older Subjects with New-Onset Diabetes Mellitus.Cancers · 2023Review
- Variabilities in global DNA methylation and β-sheet richness establish spectroscopic landscapes among subtypes of pancreatic cancer.European journal of nuclear medicine and molecular imaging · 2023Article
- A Lower Serum Antioxidant Capacity as a Distinctive Feature for Women with HER2+ Breast Cancer: A Preliminary Study.Cancers · 2022Article
Corrections and comments
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Authors and funding
12 authors at 5 institutions in 1 country.
Funding
Abstract
Pancreatic cancer claims over 460,000 victims per year. The carbohydrate antigen (CA) 19-9 test is the blood test used for pancreatic cancer's detection; however, its levels can be raised in symptomatic patients with other non-malignant diseases, or with other tumors in the surrounding area. Attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy has demonstrated exceptional potential in cancer diagnostics, and its clinical implementation could represent a significant step towards early detection. This proof-of-concept study, investigating the use of ATR-FTIR spectroscopy on dried blood serum, focused on the discrimination of both cancer versus healthy control samples, and cancer versus symptomatic non-malignant control samples, as a novel liquid biopsy approach for pancreatic cancer diagnosis. Machine learning algorithms were applied, achieving results of up to 92% sensitivity and 88% specificity when discriminating between cancers (
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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.