Identification of possible biomarkers for breast cancer from free fatty acid profiles determined by GC–MS and multivariate statistical analysis
The aim was to investigate the free fatty acid (FFA) metabolic profiles and to identify biomarkers that can be used to distinguish patients with breast cancer (BC) from benign (BE) patients or healthy controls. A total of 114 subjects were divided into the following three groups: BC patients, BE pat...
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| Published in | Clinical biochemistry Vol. 45; no. 1-2; pp. 127 - 133 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier Inc
01.01.2012
Elsevier |
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| Abstract | The aim was to investigate the free fatty acid (FFA) metabolic profiles and to identify biomarkers that can be used to distinguish patients with breast cancer (BC) from benign (BE) patients or healthy controls.
A total of 114 subjects were divided into the following three groups: BC patients, BE patients and controls. The FFA profiles in three groups were studied by gas chromatography–mass spectrometry coupled with multivariate statistical analysis.
Three saturated fatty acids (C14:0, C16:0 and C18:0) and three unsaturated fatty acids (C18:2, C18:3 and C20:5) in BC were significantly different than controls. Palmitic acid, stearic acid, linoleic acid and total FFA were identified as potential biomarkers distinguished BC from the other groups.
The alterations of FFA could reflect underlying metabolic changes in BC patients, and this study has demonstrated that FFA biomarkers might be helpful for prevention and characterization of BC patients.
▶ There were the changes of FFA profiles in BC, BE and controls. ▶ Serum FFA profiles might provide an approach to the discrimination of BC patients. ▶ Three type of FFA and total FFA were identified as biomarkers of BC. |
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| AbstractList | The aim was to investigate the free fatty acid (FFA) metabolic profiles and to identify biomarkers that can be used to distinguish patients with breast cancer (BC) from benign (BE) patients or healthy controls.
A total of 114 subjects were divided into the following three groups: BC patients, BE patients and controls. The FFA profiles in three groups were studied by gas chromatography-mass spectrometry coupled with multivariate statistical analysis.
Three saturated fatty acids (C14:0, C16:0 and C18:0) and three unsaturated fatty acids (C18:2, C18:3 and C20:5) in BC were significantly different than controls. Palmitic acid, stearic acid, linoleic acid and total FFA were identified as potential biomarkers distinguished BC from the other groups.
The alterations of FFA could reflect underlying metabolic changes in BC patients, and this study has demonstrated that FFA biomarkers might be helpful for prevention and characterization of BC patients. The aim was to investigate the free fatty acid (FFA) metabolic profiles and to identify biomarkers that can be used to distinguish patients with breast cancer (BC) from benign (BE) patients or healthy controls. A total of 114 subjects were divided into the following three groups: BC patients, BE patients and controls. The FFA profiles in three groups were studied by gas chromatography–mass spectrometry coupled with multivariate statistical analysis. Three saturated fatty acids (C14:0, C16:0 and C18:0) and three unsaturated fatty acids (C18:2, C18:3 and C20:5) in BC were significantly different than controls. Palmitic acid, stearic acid, linoleic acid and total FFA were identified as potential biomarkers distinguished BC from the other groups. The alterations of FFA could reflect underlying metabolic changes in BC patients, and this study has demonstrated that FFA biomarkers might be helpful for prevention and characterization of BC patients. ▶ There were the changes of FFA profiles in BC, BE and controls. ▶ Serum FFA profiles might provide an approach to the discrimination of BC patients. ▶ Three type of FFA and total FFA were identified as biomarkers of BC. The aim was to investigate the free fatty acid (FFA) metabolic profiles and to identify biomarkers that can be used to distinguish patients with breast cancer (BC) from benign (BE) patients or healthy controls.OBJECTIVESThe aim was to investigate the free fatty acid (FFA) metabolic profiles and to identify biomarkers that can be used to distinguish patients with breast cancer (BC) from benign (BE) patients or healthy controls.A total of 114 subjects were divided into the following three groups: BC patients, BE patients and controls. The FFA profiles in three groups were studied by gas chromatography-mass spectrometry coupled with multivariate statistical analysis.DESIGN AND METHODSA total of 114 subjects were divided into the following three groups: BC patients, BE patients and controls. The FFA profiles in three groups were studied by gas chromatography-mass spectrometry coupled with multivariate statistical analysis.Three saturated fatty acids (C14:0, C16:0 and C18:0) and three unsaturated fatty acids (C18:2, C18:3 and C20:5) in BC were significantly different than controls. Palmitic acid, stearic acid, linoleic acid and total FFA were identified as potential biomarkers distinguished BC from the other groups.RESULTSThree saturated fatty acids (C14:0, C16:0 and C18:0) and three unsaturated fatty acids (C18:2, C18:3 and C20:5) in BC were significantly different than controls. Palmitic acid, stearic acid, linoleic acid and total FFA were identified as potential biomarkers distinguished BC from the other groups.The alterations of FFA could reflect underlying metabolic changes in BC patients, and this study has demonstrated that FFA biomarkers might be helpful for prevention and characterization of BC patients.CONCLUSIONThe alterations of FFA could reflect underlying metabolic changes in BC patients, and this study has demonstrated that FFA biomarkers might be helpful for prevention and characterization of BC patients. |
| Author | Lv, Wuwen Yang, Tongshu |
| Author_xml | – sequence: 1 givenname: Wuwen surname: Lv fullname: Lv, Wuwen email: lvwuwen2010@163.com organization: Harbin University of Commence, Harbin, 150028, PR China – sequence: 2 givenname: Tongshu surname: Yang fullname: Yang, Tongshu organization: The Affiliated Tumor Hospital of Harbin Medical University, Harbin Medical University, Harbin, 150086, PR China |
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| Keywords | Biomarker Breast cancer Gas chromatography–mass spectrometry Free fatty acids Breast disease Statistical analysis Biological marker Exploration Lipids Malignant tumor Free fatty acid Gas chromatography-mass spectrometry Multivariate analysis Profile Mammary gland diseases Gas chromatography Clinical biology Mass spectrometry Cancer |
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| SubjectTerms | Adult Biological and medical sciences Biomarker Biomarkers - metabolism Biomarkers, Tumor - metabolism Breast cancer Breast Neoplasms - blood Breast Neoplasms - diagnosis Calibration Case-Control Studies Fatty Acids - chemistry Fatty Acids - metabolism Fatty Acids, Nonesterified - metabolism Fatty Acids, Unsaturated - metabolism Female Free fatty acids Gas Chromatography-Mass Spectrometry - methods Gas chromatography–mass spectrometry Gynecology. Andrology. Obstetrics Humans Investigative techniques, diagnostic techniques (general aspects) Mammary gland diseases Medical sciences Middle Aged Models, Statistical Multivariate Analysis Tumors |
| Title | Identification of possible biomarkers for breast cancer from free fatty acid profiles determined by GC–MS and multivariate statistical analysis |
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