Innovative Methodologies for the Early Detection of Breast Cancer: A Review Categorized by Target Biological Samples
Innovative biosensor technologies are revolutionizing cancer detection by offering non-invasive, sensitive, and rapid diagnostic tools, addressing the limitations of conventional screening. Non-invasive samples like breath, saliva, urine, and sweat, analyzed using advanced technologies like electron...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Biosensors |
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| Online Access: | https://www.mdpi.com/2079-6374/15/4/257 |
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| author | Antonella Grasso Vittorio Altomare Giulia Fiorini Alessandro Zompanti Giorgio Pennazza Marco Santonico |
| author_facet | Antonella Grasso Vittorio Altomare Giulia Fiorini Alessandro Zompanti Giorgio Pennazza Marco Santonico |
| author_sort | Antonella Grasso |
| collection | DOAJ |
| description | Innovative biosensor technologies are revolutionizing cancer detection by offering non-invasive, sensitive, and rapid diagnostic tools, addressing the limitations of conventional screening. Non-invasive samples like breath, saliva, urine, and sweat, analyzed using advanced technologies like electronic nose systems and AI, show promise for early detection and frequent monitoring, though validation is needed. AI integration enhances data analysis and personalization. While blood-based methods remain the gold standard, combining them with less invasive sample types like saliva or sweat, and using sensitive techniques, is a promising direction. Conventional methods (mammography, MRI, etc.) offer proven efficacy, but are costly and invasive. Innovative methods using biosensors offer reduced infrastructure needs, lower costs, and patient-friendly sampling. However, challenges remain in validation, standardization, and low biomarker concentrations. Integrating both methodologies could create a comprehensive framework, combining reliability with accessibility. Future research should focus on robust biosensor development, standardization, expanding application to other cancers, exploring less-studied samples like sweat, and improving affordability for wider adoption, especially in resource-limited settings. The future lies in integrating diverse approaches for more sensitive, specific, and patient-friendly screening, improving early detection and outcomes. |
| format | Article |
| id | doaj-art-ba0bab61ba8b459b9c08b1f5077e30cf |
| institution | DOAJ |
| issn | 2079-6374 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biosensors |
| spelling | doaj-art-ba0bab61ba8b459b9c08b1f5077e30cf2025-08-20T03:14:27ZengMDPI AGBiosensors2079-63742025-04-0115425710.3390/bios15040257Innovative Methodologies for the Early Detection of Breast Cancer: A Review Categorized by Target Biological SamplesAntonella Grasso0Vittorio Altomare1Giulia Fiorini2Alessandro Zompanti3Giorgio Pennazza4Marco Santonico5Breast Unit, Policlinico Campus Bio-Medico di Roma, 00128 Rome, ItalyBreast Unit, Policlinico Campus Bio-Medico di Roma, 00128 Rome, ItalyUnit of Electronics for Sensor Systems, Department of Science and Technology for Sustainable Development and One-Health, Università Campus Bio-Medico di Roma, 00128 Rome, ItalyUnit of Electronics for Sensor Systems, Department of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, ItalyUnit of Electronics for Sensor Systems, Department of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, ItalyUnit of Electronics for Sensor Systems, Department of Science and Technology for Sustainable Development and One-Health, Università Campus Bio-Medico di Roma, 00128 Rome, ItalyInnovative biosensor technologies are revolutionizing cancer detection by offering non-invasive, sensitive, and rapid diagnostic tools, addressing the limitations of conventional screening. Non-invasive samples like breath, saliva, urine, and sweat, analyzed using advanced technologies like electronic nose systems and AI, show promise for early detection and frequent monitoring, though validation is needed. AI integration enhances data analysis and personalization. While blood-based methods remain the gold standard, combining them with less invasive sample types like saliva or sweat, and using sensitive techniques, is a promising direction. Conventional methods (mammography, MRI, etc.) offer proven efficacy, but are costly and invasive. Innovative methods using biosensors offer reduced infrastructure needs, lower costs, and patient-friendly sampling. However, challenges remain in validation, standardization, and low biomarker concentrations. Integrating both methodologies could create a comprehensive framework, combining reliability with accessibility. Future research should focus on robust biosensor development, standardization, expanding application to other cancers, exploring less-studied samples like sweat, and improving affordability for wider adoption, especially in resource-limited settings. The future lies in integrating diverse approaches for more sensitive, specific, and patient-friendly screening, improving early detection and outcomes.https://www.mdpi.com/2079-6374/15/4/257biosensor technologiesnon-invasive cancer detectionearly detection |
| spellingShingle | Antonella Grasso Vittorio Altomare Giulia Fiorini Alessandro Zompanti Giorgio Pennazza Marco Santonico Innovative Methodologies for the Early Detection of Breast Cancer: A Review Categorized by Target Biological Samples Biosensors biosensor technologies non-invasive cancer detection early detection |
| title | Innovative Methodologies for the Early Detection of Breast Cancer: A Review Categorized by Target Biological Samples |
| title_full | Innovative Methodologies for the Early Detection of Breast Cancer: A Review Categorized by Target Biological Samples |
| title_fullStr | Innovative Methodologies for the Early Detection of Breast Cancer: A Review Categorized by Target Biological Samples |
| title_full_unstemmed | Innovative Methodologies for the Early Detection of Breast Cancer: A Review Categorized by Target Biological Samples |
| title_short | Innovative Methodologies for the Early Detection of Breast Cancer: A Review Categorized by Target Biological Samples |
| title_sort | innovative methodologies for the early detection of breast cancer a review categorized by target biological samples |
| topic | biosensor technologies non-invasive cancer detection early detection |
| url | https://www.mdpi.com/2079-6374/15/4/257 |
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