ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2012
Monitoring the progression of metastatic breast cancer on nanoporous silica chips.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Prognostic role of matrix metalloproteinase 9 in early breast cancer.Oncology letters · 2021Article
- Discovery of Missing Methylation Sites on Endogenous Peptides of Human Cell Lines.Journal of the American Society for Mass Spectrometry · 2019Article
- Profiling of Cross-Functional Peptidases Regulated Circulating Peptides in BRCA1 Mutant Breast Cancer.Journal of proteome research · 2016Article
- Mesoporous silica chip: enabled peptide profiling as an effective platform for controlling bio-sample quality and optimizing handling procedure.Clinical proteomics · 2016Article
- Circulating peptidome to indicate the tumor-resident proteolysis.Scientific reports · 2015Article
- Convergence of nanotechnology and cancer prevention: are we there yet?Cancer prevention research (Philadelphia, Pa.) · 2014Review
- Antibody-free detection of Mycobacterium tuberculosis antigen using customized nanotraps.Analytical chemistry · 2014Article
- Post-genomics nanotechnology is gaining momentum: nanoproteomics and applications in life sciences.Omics : a journal of integrative biology · 2014Review
- Future directions for monitoring treatment responses in breast cancer.Journal of Cancer · 2014Review
- Nanotechnologies in glycoproteomics.Clinical proteomics · 2014Review
- Circulating proteolytic products of carboxypeptidase N for early detection of breast cancer.Clinical chemistry · 2014Article
- Serum peptidomic biomarkers for pulmonary metastatic melanoma identified by means of a nanopore-based assay.Cancer letters · 2013Article
- Silicon micro- and nanofabrication for medicine.Advanced healthcare materials · 2013Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
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.
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