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An Integrated Approach to Protein Discovery and Detection From Complex Biofluids
Ovarian cancer, a leading cause of cancer-related deaths among women, has been notoriously difficult to screen for and diagnose early, as early detection significantly improves survival. Researchers and clinicians seek routinely usable and noninvasive screening methods; however, available methods (i...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Biochemistry and Molecular Biology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388710/ https://www.ncbi.nlm.nih.gov/pubmed/37301378 http://dx.doi.org/10.1016/j.mcpro.2023.100590 |
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author | Luu, Gordon T. Ge, Chang Tang, Yisha Li, Kailiang Cologna, Stephanie M. Godwin, Andrew K. Burdette, Joanna E. Su, Judith Sanchez, Laura M. |
author_facet | Luu, Gordon T. Ge, Chang Tang, Yisha Li, Kailiang Cologna, Stephanie M. Godwin, Andrew K. Burdette, Joanna E. Su, Judith Sanchez, Laura M. |
author_sort | Luu, Gordon T. |
collection | PubMed |
description | Ovarian cancer, a leading cause of cancer-related deaths among women, has been notoriously difficult to screen for and diagnose early, as early detection significantly improves survival. Researchers and clinicians seek routinely usable and noninvasive screening methods; however, available methods (i.e., biomarker screening) lack desirable sensitivity/specificity. The most fatal form, high-grade serous ovarian cancer, often originate in the fallopian tube; therefore, sampling from the vaginal environment provides more proximal sources for tumor detection. To address these shortcomings and leverage proximal sampling, we developed an untargeted mass spectrometry microprotein profiling method and identified cystatin A, which was validated in an animal model. To overcome the limits of detection inherent to mass spectrometry, we demonstrated that cystatin A is present at 100 pM concentrations using a label-free microtoroid resonator and translated our workflow to patient-derived clinical samples, highlighting the potential utility of early stage detection where biomarker levels would be low. |
format | Online Article Text |
id | pubmed-10388710 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Society for Biochemistry and Molecular Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-103887102023-08-01 An Integrated Approach to Protein Discovery and Detection From Complex Biofluids Luu, Gordon T. Ge, Chang Tang, Yisha Li, Kailiang Cologna, Stephanie M. Godwin, Andrew K. Burdette, Joanna E. Su, Judith Sanchez, Laura M. Mol Cell Proteomics Research Ovarian cancer, a leading cause of cancer-related deaths among women, has been notoriously difficult to screen for and diagnose early, as early detection significantly improves survival. Researchers and clinicians seek routinely usable and noninvasive screening methods; however, available methods (i.e., biomarker screening) lack desirable sensitivity/specificity. The most fatal form, high-grade serous ovarian cancer, often originate in the fallopian tube; therefore, sampling from the vaginal environment provides more proximal sources for tumor detection. To address these shortcomings and leverage proximal sampling, we developed an untargeted mass spectrometry microprotein profiling method and identified cystatin A, which was validated in an animal model. To overcome the limits of detection inherent to mass spectrometry, we demonstrated that cystatin A is present at 100 pM concentrations using a label-free microtoroid resonator and translated our workflow to patient-derived clinical samples, highlighting the potential utility of early stage detection where biomarker levels would be low. American Society for Biochemistry and Molecular Biology 2023-06-09 /pmc/articles/PMC10388710/ /pubmed/37301378 http://dx.doi.org/10.1016/j.mcpro.2023.100590 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Luu, Gordon T. Ge, Chang Tang, Yisha Li, Kailiang Cologna, Stephanie M. Godwin, Andrew K. Burdette, Joanna E. Su, Judith Sanchez, Laura M. An Integrated Approach to Protein Discovery and Detection From Complex Biofluids |
title | An Integrated Approach to Protein Discovery and Detection From Complex Biofluids |
title_full | An Integrated Approach to Protein Discovery and Detection From Complex Biofluids |
title_fullStr | An Integrated Approach to Protein Discovery and Detection From Complex Biofluids |
title_full_unstemmed | An Integrated Approach to Protein Discovery and Detection From Complex Biofluids |
title_short | An Integrated Approach to Protein Discovery and Detection From Complex Biofluids |
title_sort | integrated approach to protein discovery and detection from complex biofluids |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388710/ https://www.ncbi.nlm.nih.gov/pubmed/37301378 http://dx.doi.org/10.1016/j.mcpro.2023.100590 |
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