Fingerprinting Breast Cancer vs. Normal Mammary Cells by Mass Spectrometric Analysis of Volatiles
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 528786261 | ||
| 005 | 20181217030314.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 180924e20140606xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.3929/ethz-b-000084899 |2 doi |
| 024 | 7 | 0 | |a 10.1038/srep05196 |2 doi |
| 035 | |a (ETHRESEARCH)oai:www.research-collecti.ethz.ch:20.500.11850/84899 | ||
| 245 | 0 | 0 | |a Fingerprinting Breast Cancer vs. Normal Mammary Cells by Mass Spectrometric Analysis of Volatiles |h [Elektronische Daten] |c [Jingjing He, Pablo M.-L. Sinues, Maija Hollmén, Xue Li, Michael Detmar, Renato; id_orcid 0000-0001-5211-4358 Zenobi] |
| 246 | 0 | |a Sci Rep | |
| 506 | |a Open access |2 ethresearch | ||
| 520 | 3 | |a There is increasing interest in the development of noninvasive diagnostic methods for early cancer detection, to improve the survival rate and quality of life of cancer patients. Identification of volatile metabolic compounds may provide an approach for noninvasive early diagnosis of malignant diseases. Here we analyzed the volatile metabolic signature of human breast cancer cell lines versus normal human mammary cells. Volatile compounds in the headspace of conditioned culture medium were directly fingerprinted by secondary electrospray ionization-mass spectrometry. The mass spectra were subsequently treated statistically to identify discriminating features between normal vs. cancerous cell types. We were able to classify different samples by using feature selection followed by principal component analysis (PCA). Additionally, high-resolution mass spectrometry allowed us to propose their chemical structures for some of the most discriminating molecules. We conclude that cancerous cells can release a characteristic odor whose constituents may be used as disease markers. | |
| 540 | |a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported |u http://creativecommons.org/licenses/by-nc-sa/3.0 |2 ethresearch | ||
| 690 | 7 | |a Mass spectrometry |2 ethresearch | |
| 690 | 7 | |a Diagnostic markers |2 ethresearch | |
| 700 | 1 | |a He |D Jingjing |e joint author | |
| 700 | 1 | |a Sinues |D Pablo M.-L |e joint author | |
| 700 | 1 | |a Hollmén |D Maija |e joint author | |
| 700 | 1 | |a Li |D Xue |e joint author | |
| 700 | 1 | |a Detmar |D Michael |e joint author | |
| 700 | 1 | |a Zenobi |D Renato; id_orcid 0000-0001-5211-4358 |e joint author | |
| 773 | 0 | |t Scientific Reports |d London : Nature Publishing Group |g 4, p. 5196 |x 2045-2322 | |
| 856 | 4 | 0 | |u http://hdl.handle.net/20.500.11850/84899 |q text/html |z WWW-Backlink auf das Repository (Open access) |
| 908 | |D 1 |a Journal Article |2 ethresearch | ||
| 950 | |B ETHRESEARCH |P 856 |E 40 |u http://hdl.handle.net/20.500.11850/84899 |q text/html |z WWW-Backlink auf das Repository (Open access) | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a He |D Jingjing |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Sinues |D Pablo M.-L |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Hollmén |D Maija |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Li |D Xue |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Detmar |D Michael |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Zenobi |D Renato; id_orcid 0000-0001-5211-4358 |e joint author | ||
| 950 | |B ETHRESEARCH |P 773 |E 0- |t Scientific Reports |d London : Nature Publishing Group |g 4, p. 5196 |x 2045-2322 | ||
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 949 | |B ETHRESEARCH |F ETHRESEARCH |b ETHRESEARCH |j Journal Article |c Open access | ||