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Monitoring the progression of metastatic breast cancer on nanoporous silica chips
Breast cancer accounted for 15 per cent of total cancer deaths in female patients in 2010. Although significant progress has been made in treating early-stage breast cancer patients, there is still no effective therapy targeting late-stage metastatic breast cancers except for the conventional chemot...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society Publishing
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3318679/ https://www.ncbi.nlm.nih.gov/pubmed/22509065 http://dx.doi.org/10.1098/rsta.2011.0444 |
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author | Fan, Jia Deng, Xiaoyong Gallagher, James W. Huang, Haiyu Huang, Yi Wen, Jianguo Ferrari, Mauro Shen, Haifa Hu, Ye |
author_facet | Fan, Jia Deng, Xiaoyong Gallagher, James W. Huang, Haiyu Huang, Yi Wen, Jianguo Ferrari, Mauro Shen, Haifa Hu, Ye |
author_sort | Fan, Jia |
collection | PubMed |
description | Breast cancer accounted for 15 per cent of total cancer deaths in female patients in 2010. Although significant progress has been made in treating early-stage breast cancer patients, there is still no effective therapy targeting late-stage metastatic breast cancers except for the conventional chemotherapy interventions. Until effective therapy for later-stage cancers emerges, the identification of biomarkers for the early detection of tumour metastasis continues to hold the key to successful management of breast cancer therapy. Our study concentrated on the low molecular weight (LMW) region of the serum protein and the information it contains for identifying biomarkers that could reflect the ongoing physiological state of all tissues. Owing to technical difficulties in harvesting LMW species, studying these proteins/peptides has been challenging until now. In our study, we have recently developed nanoporous chip-based technologies to separate small proteins/peptides from the large proteins in serum. We used nanoporous silica chips, with a highly periodic nanostructure and uniform pore size distribution, to isolate LMW proteins and peptides from the serum of nude mice with MDA-MB-231 human breast cancer lung metastasis. By matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and biostatistical analysis, we were able to identify protein signatures unique to different stages of cancer development. The approach and results reported in this study possess a significant potential for the discovery of proteomic biomarkers that may significantly enhance personalized medicine targeted at metastatic breast cancer. |
format | Online Article Text |
id | pubmed-3318679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | The Royal Society Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-33186792012-05-28 Monitoring the progression of metastatic breast cancer on nanoporous silica chips Fan, Jia Deng, Xiaoyong Gallagher, James W. Huang, Haiyu Huang, Yi Wen, Jianguo Ferrari, Mauro Shen, Haifa Hu, Ye Philos Trans A Math Phys Eng Sci Articles Breast cancer accounted for 15 per cent of total cancer deaths in female patients in 2010. Although significant progress has been made in treating early-stage breast cancer patients, there is still no effective therapy targeting late-stage metastatic breast cancers except for the conventional chemotherapy interventions. Until effective therapy for later-stage cancers emerges, the identification of biomarkers for the early detection of tumour metastasis continues to hold the key to successful management of breast cancer therapy. Our study concentrated on the low molecular weight (LMW) region of the serum protein and the information it contains for identifying biomarkers that could reflect the ongoing physiological state of all tissues. Owing to technical difficulties in harvesting LMW species, studying these proteins/peptides has been challenging until now. In our study, we have recently developed nanoporous chip-based technologies to separate small proteins/peptides from the large proteins in serum. We used nanoporous silica chips, with a highly periodic nanostructure and uniform pore size distribution, to isolate LMW proteins and peptides from the serum of nude mice with MDA-MB-231 human breast cancer lung metastasis. By matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and biostatistical analysis, we were able to identify protein signatures unique to different stages of cancer development. The approach and results reported in this study possess a significant potential for the discovery of proteomic biomarkers that may significantly enhance personalized medicine targeted at metastatic breast cancer. The Royal Society Publishing 2012-05-28 /pmc/articles/PMC3318679/ /pubmed/22509065 http://dx.doi.org/10.1098/rsta.2011.0444 Text en This journal is © 2012 The Royal Society http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Fan, Jia Deng, Xiaoyong Gallagher, James W. Huang, Haiyu Huang, Yi Wen, Jianguo Ferrari, Mauro Shen, Haifa Hu, Ye Monitoring the progression of metastatic breast cancer on nanoporous silica chips |
title | Monitoring the progression of metastatic breast cancer on nanoporous silica chips |
title_full | Monitoring the progression of metastatic breast cancer on nanoporous silica chips |
title_fullStr | Monitoring the progression of metastatic breast cancer on nanoporous silica chips |
title_full_unstemmed | Monitoring the progression of metastatic breast cancer on nanoporous silica chips |
title_short | Monitoring the progression of metastatic breast cancer on nanoporous silica chips |
title_sort | monitoring the progression of metastatic breast cancer on nanoporous silica chips |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3318679/ https://www.ncbi.nlm.nih.gov/pubmed/22509065 http://dx.doi.org/10.1098/rsta.2011.0444 |
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