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The Convergence of FTIR and EVs: Emergence Strategy for Non-Invasive Cancer Markers Discovery

In conjunction with imaging analysis, pathology-based assessments of biopsied tissue are the gold standard for diagnosing solid tumors. However, the disadvantages of tissue biopsies, such as being invasive, time-consuming, and labor-intensive, have urged the development of an alternate method, liqui...

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Autores principales: Wong, Le-Wei, Mak, Siow-Hui, Goh, Bey-Hing, Lee, Wai-Leng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818376/
https://www.ncbi.nlm.nih.gov/pubmed/36611313
http://dx.doi.org/10.3390/diagnostics13010022
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author Wong, Le-Wei
Mak, Siow-Hui
Goh, Bey-Hing
Lee, Wai-Leng
author_facet Wong, Le-Wei
Mak, Siow-Hui
Goh, Bey-Hing
Lee, Wai-Leng
author_sort Wong, Le-Wei
collection PubMed
description In conjunction with imaging analysis, pathology-based assessments of biopsied tissue are the gold standard for diagnosing solid tumors. However, the disadvantages of tissue biopsies, such as being invasive, time-consuming, and labor-intensive, have urged the development of an alternate method, liquid biopsy, that involves sampling and clinical assessment of various bodily fluids for cancer diagnosis. Meanwhile, extracellular vesicles (EVs) are circulating biomarkers that carry molecular profiles of their cell or tissue origins and have emerged as one of the most promising biomarkers for cancer. Owing to the biological information that can be obtained through EVs’ membrane surface markers and their cargo loaded with biomolecules such as nucleic acids, proteins, and lipids, EVs have become useful in cancer diagnosis and therapeutic applications. Fourier-transform infrared spectroscopy (FTIR) allows rapid, non-destructive, label-free molecular profiling of EVs with minimal sample preparation. Since the heterogeneity of EV subpopulations may result in complicated FTIR spectra that are highly diverse, computational-assisted FTIR spectroscopy is employed in many studies to provide fingerprint spectra of malignant and non-malignant samples, allowing classification with high accuracy, specificity, and sensitivity. In view of this, FTIR-EV approach carries a great potential in cancer detection. The progression of FTIR-based biomarker identification in EV research, the rationale of the integration of a computationally assisted approach, along with the challenges of clinical translation are the focus of this review.
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spelling pubmed-98183762023-01-07 The Convergence of FTIR and EVs: Emergence Strategy for Non-Invasive Cancer Markers Discovery Wong, Le-Wei Mak, Siow-Hui Goh, Bey-Hing Lee, Wai-Leng Diagnostics (Basel) Review In conjunction with imaging analysis, pathology-based assessments of biopsied tissue are the gold standard for diagnosing solid tumors. However, the disadvantages of tissue biopsies, such as being invasive, time-consuming, and labor-intensive, have urged the development of an alternate method, liquid biopsy, that involves sampling and clinical assessment of various bodily fluids for cancer diagnosis. Meanwhile, extracellular vesicles (EVs) are circulating biomarkers that carry molecular profiles of their cell or tissue origins and have emerged as one of the most promising biomarkers for cancer. Owing to the biological information that can be obtained through EVs’ membrane surface markers and their cargo loaded with biomolecules such as nucleic acids, proteins, and lipids, EVs have become useful in cancer diagnosis and therapeutic applications. Fourier-transform infrared spectroscopy (FTIR) allows rapid, non-destructive, label-free molecular profiling of EVs with minimal sample preparation. Since the heterogeneity of EV subpopulations may result in complicated FTIR spectra that are highly diverse, computational-assisted FTIR spectroscopy is employed in many studies to provide fingerprint spectra of malignant and non-malignant samples, allowing classification with high accuracy, specificity, and sensitivity. In view of this, FTIR-EV approach carries a great potential in cancer detection. The progression of FTIR-based biomarker identification in EV research, the rationale of the integration of a computationally assisted approach, along with the challenges of clinical translation are the focus of this review. MDPI 2022-12-21 /pmc/articles/PMC9818376/ /pubmed/36611313 http://dx.doi.org/10.3390/diagnostics13010022 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Wong, Le-Wei
Mak, Siow-Hui
Goh, Bey-Hing
Lee, Wai-Leng
The Convergence of FTIR and EVs: Emergence Strategy for Non-Invasive Cancer Markers Discovery
title The Convergence of FTIR and EVs: Emergence Strategy for Non-Invasive Cancer Markers Discovery
title_full The Convergence of FTIR and EVs: Emergence Strategy for Non-Invasive Cancer Markers Discovery
title_fullStr The Convergence of FTIR and EVs: Emergence Strategy for Non-Invasive Cancer Markers Discovery
title_full_unstemmed The Convergence of FTIR and EVs: Emergence Strategy for Non-Invasive Cancer Markers Discovery
title_short The Convergence of FTIR and EVs: Emergence Strategy for Non-Invasive Cancer Markers Discovery
title_sort convergence of ftir and evs: emergence strategy for non-invasive cancer markers discovery
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818376/
https://www.ncbi.nlm.nih.gov/pubmed/36611313
http://dx.doi.org/10.3390/diagnostics13010022
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