ArticleTherapeutic advances in medical oncology2020
Vibrational spectroscopy of liquid biopsies for prostate cancer diagnosis.
Article in Therapeutic advances in medical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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23 citing papers in PubMed, 54 citations in OpenAlex.
- Modelling of immune infiltration in prostate cancer treated with HDR-brachytherapy using Raman spectroscopy and machine learning.Scientific reports · 2025Article
- Raman spectroscopy based diagnosis of pancreatic ductal adenocarcinoma.Scientific reports · 2025Article
- Assessing lung cancer progression and survival with infrared spectroscopy of blood serum.BMC medicine · 2025Article
- The Promise of Infrared Spectroscopy in Liquid Biopsies for Solid Cancer Detection.Diagnostics (Basel, Switzerland) · 2025Review
- Detection of radiosensitive subpopulationsFrontiers in oncology · 2025Article
- Raman spectroscopic deep learning with signal aggregated representations for enhanced cell phenotype and signature identification.PNAS nexus · 2024Article
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- Rapid diagnosis of cervical cancer based on serum FTIR spectroscopy and support vector machines.Lasers in medical science · 2023Article
- Raman-Based Techniques in Medical Applications for Diagnostic Tasks: A Review.International journal of molecular sciences · 2023Review
- Exploring the Steps of Infrared (IR) Spectral Analysis: Pre-Processing, (Classical) Data Modelling, and Deep Learning.Molecules (Basel, Switzerland) · 2023Review
- Prostate Cancer: Genetics, Epigenetics and the Need for Immunological Biomarkers.International journal of molecular sciences · 2023Review
- Raman Spectroscopy Characterization of Multi-Functionalized Liposomes as Drug-Delivery Systems for Neurological Disorders.Nanomaterials (Basel, Switzerland) · 2023Article
- Application of Advanced Non-Linear Spectral Decomposition and Regression Methods for Spectroscopic Analysis of Targeted and Non-Targeted Irradiation Effects in anInternational journal of molecular sciences · 2022Article
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- Image-guided Raman spectroscopy navigation system to improve transperineal prostate cancer detection. Part 1: Raman spectroscopy fiber-optics system and in situ tissue characterization.Journal of biomedical optics · 2022Article
- MiRNA-Mediated Fibrosis in the Out-of-Target Heart following Partial-Body Irradiation.Cancers · 2022Article
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- Review
- The utility of cfDNA in TGCT patient management: a systematic review.Therapeutic advances in medical oncology · 2022Review
- Infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer.eLife · 2021Article
Corrections and comments
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Authors and funding
15 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundScreening for prostate cancer with prostate specific antigen and digital rectal examination allows early diagnosis of prostate malignancy but has been associated with poor sensitivity and specificity. There is also a considerable risk of over-diagnosis and over-treatment, which highlights the need for better tools for diagnosis of prostate cancer. This study investigates the potential of high throughput Raman and Fourier Transform Infrared (FTIR) spectroscopy of liquid biopsies for rapid and accurate diagnosis of prostate cancer.
methodsBlood samples (plasma and lymphocytes) were obtained from healthy control subjects and prostate cancer patients. FTIR and Raman spectra were recorded from plasma samples, while Raman spectra were recorded from the lymphocytes. The acquired spectral data was analysed with various multivariate statistical methods, principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and classical least squares (CLS) fitting analysis.
resultsDiscrimination was observed between the infrared and Raman spectra of plasma and lymphocytes from healthy donors and prostate cancer patients using PCA. In addition, plasma and lymphocytes displayed differentiating signatures in patients exhibiting different Gleason scores. A PLS-DA model was able to discriminate these groups with sensitivity and specificity rates ranging from 90% to 99%. CLS fitting analysis identified key analytes that are involved in the development and progression of prostate cancer.
conclusionsThis technology may have potential as an alternative first stage diagnostic triage for prostate cancer. This technology can be easily adaptable to many other bodily fluids and could be useful for translation of liquid biopsy-based diagnostics into the clinic.
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