ArticleBMC cancer2015
Early detection of breast cancer using total biochemical analysis of peripheral blood components: a preliminary study.
Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Comparative spectral analysis of blood and saliva in breast cancer, benign breast disease and healthy controls using ATR-FTIR.Scientific reports · 2026Article
- 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
- Fecal bacterial biomarkers and blood biochemical indicators as potential key factors in the development of colorectal cancer.mSystems · 2025Article
- The Perils of Molecular Interpretations from Vibrational Spectra of Complex Samples.Angewandte Chemie (International ed. in English) · 2024Review
- Advancements in medical research: Exploring Fourier Transform Infrared (FTIR) spectroscopy for tissue, cell, and hair sample analysis.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024Review
- Fast and Deep Diagnosis Using Blood-Based ATR-FTIR Spectroscopy for Digestive Tract Cancers.Biomolecules · 2022Article
- Metabolic Profile Characterization of Different Thyroid Nodules Using FTIR Spectroscopy: A Review.Metabolites · 2022Review
- Detection of breast cancer by ATR-FTIR spectroscopy using artificial neural networks.PloS one · 2022Article
- Observational
- Infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer.eLife · 2021Article
- A New Look into Cancer-A Review on the Contribution of Vibrational Spectroscopy on Early Diagnosis and Surgery Guidance.Cancers · 2021Review
- Stability of person-specific blood-based infrared molecular fingerprints opens up prospects for health monitoring.Nature communications · 2021Article
- MMP1 and MMP11 Expression in Peripheral Blood Mononuclear Cells upon Their Interaction with Breast Cancer Cells and Fibroblasts.International journal of molecular sciences · 2020Article
- Protein Conformational Changes in Breast Cancer Sera Using Infrared Spectroscopic Analysis.Cancers · 2020Article
- Attenuated Total Reflection-Fourier Transform Infrared (ATR-FTIR) Spectroscopy Analysis of Saliva for Breast Cancer Diagnosis.Journal of oncology · 2020Article
- The Advent of Salivary Breast Cancer Biomarker Detection Using Affinity Sensors.Sensors (Basel, Switzerland) · 2019Review
- Association between digital breast tomosynthesis and molecular subtypes of breast cancer.Oncology letters · 2019Article
- Identification of pulmonary edema in forensic autopsy cases of fatal anaphylactic shock using Fourier transform infrared microspectroscopy.International journal of legal medicine · 2018Article
- Optical detection of CA 15.3 breast cancer antigen using CdS quantum dot.IET nanobiotechnology · 2017Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMost of the blood tests aiming for breast cancer screening rely on quantification of a single or few biomarkers. The aim of this study was to evaluate the feasibility of detecting breast cancer by analyzing the total biochemical composition of plasma as well as peripheral blood mononuclear cells (PBMCs) using infrared spectroscopy.
methodsBlood was collected from 29 patients with confirmed breast cancer and 30 controls with benign or no breast tumors, undergoing screening for breast cancer. PBMCs and plasma were isolated and dried on a zinc selenide slide and measured under a Fourier transform infrared (FTIR) microscope to obtain their infrared absorption spectra. Differences in the spectra of PBMCs and plasma between the groups were analyzed as well as the specific influence of the relevant pathological characteristics of the cancer patients.
resultsSeveral bands in the FTIR spectra of both blood components significantly distinguished patients with and without cancer. Employing feature extraction with quadratic discriminant analysis, a sensitivity of ~90 % and a specificity of ~80 % for breast cancer detection was achieved. These results were confirmed by Monte Carlo cross-validation. Further analysis of the cancer group revealed an influence of several clinical parameters, such as the involvement of lymph nodes, on the infrared spectra, with each blood component affected by different parameters.
conclusionThe present preliminary study suggests that FTIR spectroscopy of PBMCs and plasma is a potentially feasible and efficient tool for the early detection of breast neoplasms. An important application of our study is the distinction between benign lesions (considered as part of the non-cancer group) and malignant tumors thus reducing false positive results at screening. Furthermore, the correlation of specific spectral changes with clinical parameters of cancer patients indicates for possible contribution to diagnosis and prognosis.
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