Title |
Resolving breast cancer heterogeneity by searching reliable protein cancer biomarkers in the breast fluid secretome
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Published in |
BMC Cancer, July 2013
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DOI | 10.1186/1471-2407-13-344 |
Pubmed ID | |
Authors |
Ferdinando Mannello, Daniela Ligi |
Abstract |
One of the major goals in cancer research is to find and evaluate the early presence of biomarkers in human fluids and tissues. To resolve the complex cell heterogeneity of a tumor mass, it will be useful to characterize the intricate biomolecular composition of tumor microenvironment (the so called cancer secretome), validating secreted proteins as early biomarkers of cancer initiation and progression. This approach is not broadly applicable because of the paucity of well validated and FDA-approved biomarkers and because most of the candidate biomarkers are mainly organ-specific rather than tumor-specific. For these reasons, there is an urgent need to identify and validate a panel of biomarker combinations for early detection of human tumors. This is especially important for breast cancer, the cancer spread most worldwide among women. It is well known that patients with early diagnosed breast cancer live longer, require less extensive treatment and fare better than patients with more aggressive and/or advanced disease. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 2% |
Korea, Republic of | 1 | 2% |
Unknown | 54 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 14 | 25% |
Student > Ph. D. Student | 10 | 18% |
Student > Master | 10 | 18% |
Student > Bachelor | 4 | 7% |
Student > Doctoral Student | 3 | 5% |
Other | 9 | 16% |
Unknown | 6 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 23% |
Biochemistry, Genetics and Molecular Biology | 10 | 18% |
Agricultural and Biological Sciences | 10 | 18% |
Engineering | 4 | 7% |
Chemistry | 3 | 5% |
Other | 3 | 5% |
Unknown | 13 | 23% |