Cancer and disease diagnosis - biosensor as potential diagnostic tool for biomarker detection

Analysis of cancer biomarkers has enormous promise for advancing our molecular understanding of illness and facilitating more precise and timely diagnosis and follow-up care. MicroRNA, exosomes, ctDNA, CTCs, and proteins are only some of the circulating biomarkers that can be detected by liquid biop...

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Main Authors: Chaudhry, Gul-e-Saba, Md. Akim, Abdah, Safda, Naila, Yasmin, Azra, begum, Shaheen, Yeong, Yik Sung, Tengku Muhammad, Tengku Sifzizul
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Published: Wolters Kluwer - Medknow 2022
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spelling oai:psasir.upm.edu.my:100581 http://psasir.upm.edu.my/id/eprint/100581/ Cancer and disease diagnosis - biosensor as potential diagnostic tool for biomarker detection Chaudhry, Gul-e-Saba Md. Akim, Abdah Safda, Naila Yasmin, Azra begum, Shaheen Yeong, Yik Sung Tengku Muhammad, Tengku Sifzizul Analysis of cancer biomarkers has enormous promise for advancing our molecular understanding of illness and facilitating more precise and timely diagnosis and follow-up care. MicroRNA, exosomes, ctDNA, CTCs, and proteins are only some of the circulating biomarkers that can be detected by liquid biopsy instead of the more intrusive and time-consuming process of doing a tissue biopsy. As the cancer diagnosis bio-markers reveal ultra-low levels in the early stages of the disease, highly sensitive approaches are urgently required. Researchers have taken an interest in a optical biosensor for detecting cancer biomarkers as a potential tool for early disease diagnosis. These techniques have the potential to aid in the development of effective treatments, ultimately leading to a higher rate of patient survival. This review briefly discuss the i) understanding of cancer and biomarkers for early diagonosis purpose ii) Molecular methods and ii) biosensor-based diagnostics. The reseach primary focus on advancement in biosensor design using various concepts ie., Electrochemical, Chemiluminescence and Colorimetric, Surface plasmons (SP), Surface plasmon resonance (SPR), localized surface plasmon resonance (LSPR), Fluorescence, Fiber-based sensors, Terahertz based biosensors, and Surface enhanced Raman spectroscopy (SERS). As a result of the local electric field amplification around plasmonic (usually gold and silver) nanostructures, surface-enhanced Raman spectroscopy (SERS) has emerged as a rapid, selective, and sensitive alternative to conventional laboratory analytical methods, making significant strides in a number of biosensing applications but still under developing stage to be used as diagnostic tool in clinical research. Wolters Kluwer - Medknow 2022-10 Article PeerReviewed Chaudhry, Gul-e-Saba and Md. Akim, Abdah and Safda, Naila and Yasmin, Azra and begum, Shaheen and Yeong, Yik Sung and Tengku Muhammad, Tengku Sifzizul (2022) Cancer and disease diagnosis - biosensor as potential diagnostic tool for biomarker detection. Journal of Advanced Pharmaceutical Technology & Research, 13 (4). 243 - 247. ISSN 2231-4040; ESSN: 0976-2094 https://journals.lww.com/japtr/fulltext/2022/13040/cancer_and_disease_diagnosis___biosensor_as.1.aspx 10.4103/japtr.japtr_106_22
institution UPM IR
collection UPM IR
description Analysis of cancer biomarkers has enormous promise for advancing our molecular understanding of illness and facilitating more precise and timely diagnosis and follow-up care. MicroRNA, exosomes, ctDNA, CTCs, and proteins are only some of the circulating biomarkers that can be detected by liquid biopsy instead of the more intrusive and time-consuming process of doing a tissue biopsy. As the cancer diagnosis bio-markers reveal ultra-low levels in the early stages of the disease, highly sensitive approaches are urgently required. Researchers have taken an interest in a optical biosensor for detecting cancer biomarkers as a potential tool for early disease diagnosis. These techniques have the potential to aid in the development of effective treatments, ultimately leading to a higher rate of patient survival. This review briefly discuss the i) understanding of cancer and biomarkers for early diagonosis purpose ii) Molecular methods and ii) biosensor-based diagnostics. The reseach primary focus on advancement in biosensor design using various concepts ie., Electrochemical, Chemiluminescence and Colorimetric, Surface plasmons (SP), Surface plasmon resonance (SPR), localized surface plasmon resonance (LSPR), Fluorescence, Fiber-based sensors, Terahertz based biosensors, and Surface enhanced Raman spectroscopy (SERS). As a result of the local electric field amplification around plasmonic (usually gold and silver) nanostructures, surface-enhanced Raman spectroscopy (SERS) has emerged as a rapid, selective, and sensitive alternative to conventional laboratory analytical methods, making significant strides in a number of biosensing applications but still under developing stage to be used as diagnostic tool in clinical research.
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author Chaudhry, Gul-e-Saba
Md. Akim, Abdah
Safda, Naila
Yasmin, Azra
begum, Shaheen
Yeong, Yik Sung
Tengku Muhammad, Tengku Sifzizul
spellingShingle Chaudhry, Gul-e-Saba
Md. Akim, Abdah
Safda, Naila
Yasmin, Azra
begum, Shaheen
Yeong, Yik Sung
Tengku Muhammad, Tengku Sifzizul
Cancer and disease diagnosis - biosensor as potential diagnostic tool for biomarker detection
author_facet Chaudhry, Gul-e-Saba
Md. Akim, Abdah
Safda, Naila
Yasmin, Azra
begum, Shaheen
Yeong, Yik Sung
Tengku Muhammad, Tengku Sifzizul
author_sort Chaudhry, Gul-e-Saba
title Cancer and disease diagnosis - biosensor as potential diagnostic tool for biomarker detection
title_short Cancer and disease diagnosis - biosensor as potential diagnostic tool for biomarker detection
title_full Cancer and disease diagnosis - biosensor as potential diagnostic tool for biomarker detection
title_fullStr Cancer and disease diagnosis - biosensor as potential diagnostic tool for biomarker detection
title_full_unstemmed Cancer and disease diagnosis - biosensor as potential diagnostic tool for biomarker detection
title_sort cancer and disease diagnosis - biosensor as potential diagnostic tool for biomarker detection
publisher Wolters Kluwer - Medknow
publishDate 2022
_version_ 1819301200786358272
score 13.4562235