High-throughput and high-sensitivity quantitative analysis of serum unsaturated fatty acids by chip-based nanoelectrospray ionization-Fourier transform ion cyclotron resonance mass spectrometry: Early stage diagnostic biomarkers of pancreatic cancer
In this study, Fourier transform ion cyclotron resonance mass spectrometry (FTICR MS) coupled with chip-based direct-infusion nanoelectrospray ionization source (CBDInanoESI) in a negative ion mode is first employed to evaluate the effect of serum and its corresponding supernatant matrixes on the re...
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Published in | Analyst (London) Vol. 139; no. 7; pp. 1697 - 1706 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
England
07.04.2014
|
Subjects | |
Online Access | Get full text |
ISSN | 0003-2654 1364-5528 1364-5528 |
DOI | 10.1039/C3AN02130K |
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Abstract | In this study, Fourier transform ion cyclotron resonance mass spectrometry (FTICR MS) coupled with chip-based direct-infusion nanoelectrospray ionization source (CBDInanoESI) in a negative ion mode is first employed to evaluate the effect of serum and its corresponding supernatant matrixes on the recoveries of serum free fatty acids (FFAs) based on spike-and-recovery experimental strategy by adding analytes along with analog internal standard (IS). The recoveries between serum (69.8–115.6%) and the supernatant (73.6–99.0%) matrixes are almost identical. Multiple point internal standard calibration curves between the concentration ratios of individual fatty acids to ISs, (C
17:1
as IS of C
16:1
, C
18:3
, C
18:2
, or C
18:1
or C
21:0
as IS of C
20:4
or C
22:6
)
versus
their corresponding intensity ratios were constructed for C
16:1
, C
18:3
, C
18:2
, C
18:1
, C
20:4
and C
22:6
, respectively, with correlation coefficients of greater than 0.99, lower limits of detection between 0.3 and 1.8 nM, and intra- and inter-day precision (relative standard deviations <18%), along with the linear dynamic range of three orders of magnitude. Sequentially, this advanced analytical platform was applied to perform simultaneous quantitative and qualitative analysis of multiple targets,
e.g.
, serum supernatant unsaturated FFAs from 361 participants including 95 patients with pancreatic cancer (PC), 61 patients with pancreatitis and 205 healthy controls. Experimental results indicate that the levels of C
18:1
, C
18:2
, C
18:3
, C
20:4
and C
22:6
, as well as the level ratios of C
18:2
/C
18:1
and C
18:3
/C
18:1
of the PC patients were significantly decreased compared with those of healthy controls and the patients with pancreatitis (
p
< 0.01). It is worth noting that the ratio of C
18:2
/C
18:1
, polyunsaturated fatty acids (PUFAs) (C
18:2
, C
18:3
, C
20:4
, and C
22:6
), panel a (C
16:1
, C
18:3
, C
18:2
, C
20:4
and C
22:6
) and panel b (C
18:2
/C
18:1
and C
18:3
/C
18:1
) performed excellent diagnostic ability, with an area under the receiver operating characteristic curve of ≥0.869, sensitivity of ≥85.7%, and specificity of ≥86.7% for differentiating the early stage PC from non-cancer subjects, which are greatly higher than those of clinically used serum biomarker CA 19-9. More importantly, this platform can also provide a fast and easy way to quantify the levels of FFAs in less than 30 s per sample. |
---|---|
AbstractList | In this study, Fourier transform ion cyclotron resonance mass spectrometry (FTICR MS) coupled with chip-based direct-infusion nanoelectrospray ionization source (CBDInanoESI) in a negative ion mode is first employed to evaluate the effect of serum and its corresponding supernatant matrixes on the recoveries of serum free fatty acids (FFAs) based on spike-and-recovery experimental strategy by adding analytes along with analog internal standard (IS). The recoveries between serum (69.8-115.6%) and the supernatant (73.6-99.0%) matrixes are almost identical. Multiple point internal standard calibration curves between the concentration ratios of individual fatty acids to ISs, (C(17:1) as IS of C(16:1), C(18:3), C(18:2), or C(18:1) or C(21:0) as IS of C(20:4) or C(22:6)) versus their corresponding intensity ratios were constructed for C(16:1), C(18:3), C(18:2), C(18:1), C(20:4) and C(22:6), respectively, with correlation coefficients of greater than 0.99, lower limits of detection between 0.3 and 1.8 nM, and intra- and inter-day precision (relative standard deviations <18%), along with the linear dynamic range of three orders of magnitude. Sequentially, this advanced analytical platform was applied to perform simultaneous quantitative and qualitative analysis of multiple targets, e.g., serum supernatant unsaturated FFAs from 361 participants including 95 patients with pancreatic cancer (PC), 61 patients with pancreatitis and 205 healthy controls. Experimental results indicate that the levels of C(18:1), C(18:2), C(18:3), C(20:4) and C(22:6), as well as the level ratios of C(18:2)/C(18:1) and C(18:3)/C(18:1) of the PC patients were significantly decreased compared with those of healthy controls and the patients with pancreatitis (p < 0.01). It is worth noting that the ratio of C(18:2)/C(18:1), polyunsaturated fatty acids (PUFAs) (C(18:2), C(18:3), C(20:4), and C(22:6)), panel a (C(16:1), C(18:3), C(18:2), C(20:4) and C(22:6)) and panel b (C(18:2)/C(18:1) and C(18:3)/C(18:1)) performed excellent diagnostic ability, with an area under the receiver operating characteristic curve of ≥0.869, sensitivity of ≥85.7%, and specificity of ≥86.7% for differentiating the early stage PC from non-cancer subjects, which are greatly higher than those of clinically used serum biomarker CA 19-9. More importantly, this platform can also provide a fast and easy way to quantify the levels of FFAs in less than 30 s per sample. In this study, Fourier transform ion cyclotron resonance mass spectrometry (FTICR MS) coupled with chip-based direct-infusion nanoelectrospray ionization source (CBDInanoESI) in a negative ion mode is first employed to evaluate the effect of serum and its corresponding supernatant matrixes on the recoveries of serum free fatty acids (FFAs) based on spike-and-recovery experimental strategy by adding analytes along with analog internal standard (IS). The recoveries between serum (69.8-115.6%) and the supernatant (73.6-99.0%) matrixes are almost identical. Multiple point internal standard calibration curves between the concentration ratios of individual fatty acids to ISs, (C sub(17:1) as IS of C sub(16:1), C sub(18:3), C sub(18:2), or C sub(18:1) or C sub(21:0) as IS of C sub(20:4) or C sub(22:6)) versustheir corresponding intensity ratios were constructed for C sub(16:1), C sub(18:3), C sub(18:2), C sub(18:1), C sub(20:4) and C sub(22:6), respectively, with correlation coefficients of greater than 0.99, lower limits of detection between 0.3 and 1.8 nM, and intra- and inter-day precision (relative standard deviations <18%), along with the linear dynamic range of three orders of magnitude. Sequentially, this advanced analytical platform was applied to perform simultaneous quantitative and qualitative analysis of multiple targets, e.g., serum supernatant unsaturated FFAs from 361 participants including 95 patients with pancreatic cancer (PC), 61 patients with pancreatitis and 205 healthy controls. Experimental results indicate that the levels of C sub(18:1), C sub(18:2), C sub(18:3), C sub(20:4) and C sub(22:6), as well as the level ratios of C sub(18:2)/C sub(18:1) and C sub(18:3)/C sub(18:1) of the PC patients were significantly decreased compared with those of healthy controls and the patients with pancreatitis (p< 0.01). It is worth noting that the ratio of C sub(18:2)/C sub(18:1), polyunsaturated fatty acids (PUFAs) (C sub(18:2), C sub(18:3), C sub(20:4), and C sub(22:6)), panel a (C sub(16:1), C sub(18:3), C sub(18:2), C sub(20:4) and C sub(22:6)) and panel b (C sub(18:2)/C sub(18:1) and C sub(18:3)/C sub(18:1)) performed excellent diagnostic ability, with an area under the receiver operating characteristic curve of greater than or equal to 0.869, sensitivity of greater than or equal to 85.7%, and specificity of greater than or equal to 86.7% for differentiating the early stage PC from non-cancer subjects, which are greatly higher than those of clinically used serum biomarker CA 19-9. More importantly, this platform can also provide a fast and easy way to quantify the levels of FFAs in less than 30 s per sample. In this study, Fourier transform ion cyclotron resonance mass spectrometry (FTICR MS) coupled with chip-based direct-infusion nanoelectrospray ionization source (CBDInanoESI) in a negative ion mode is first employed to evaluate the effect of serum and its corresponding supernatant matrixes on the recoveries of serum free fatty acids (FFAs) based on spike-and-recovery experimental strategy by adding analytes along with analog internal standard (IS). The recoveries between serum (69.8–115.6%) and the supernatant (73.6–99.0%) matrixes are almost identical. Multiple point internal standard calibration curves between the concentration ratios of individual fatty acids to ISs, (C 17:1 as IS of C 16:1 , C 18:3 , C 18:2 , or C 18:1 or C 21:0 as IS of C 20:4 or C 22:6 ) versus their corresponding intensity ratios were constructed for C 16:1 , C 18:3 , C 18:2 , C 18:1 , C 20:4 and C 22:6 , respectively, with correlation coefficients of greater than 0.99, lower limits of detection between 0.3 and 1.8 nM, and intra- and inter-day precision (relative standard deviations <18%), along with the linear dynamic range of three orders of magnitude. Sequentially, this advanced analytical platform was applied to perform simultaneous quantitative and qualitative analysis of multiple targets, e.g. , serum supernatant unsaturated FFAs from 361 participants including 95 patients with pancreatic cancer (PC), 61 patients with pancreatitis and 205 healthy controls. Experimental results indicate that the levels of C 18:1 , C 18:2 , C 18:3 , C 20:4 and C 22:6 , as well as the level ratios of C 18:2 /C 18:1 and C 18:3 /C 18:1 of the PC patients were significantly decreased compared with those of healthy controls and the patients with pancreatitis ( p < 0.01). It is worth noting that the ratio of C 18:2 /C 18:1 , polyunsaturated fatty acids (PUFAs) (C 18:2 , C 18:3 , C 20:4 , and C 22:6 ), panel a (C 16:1 , C 18:3 , C 18:2 , C 20:4 and C 22:6 ) and panel b (C 18:2 /C 18:1 and C 18:3 /C 18:1 ) performed excellent diagnostic ability, with an area under the receiver operating characteristic curve of ≥0.869, sensitivity of ≥85.7%, and specificity of ≥86.7% for differentiating the early stage PC from non-cancer subjects, which are greatly higher than those of clinically used serum biomarker CA 19-9. More importantly, this platform can also provide a fast and easy way to quantify the levels of FFAs in less than 30 s per sample. In this study, Fourier transform ion cyclotron resonance mass spectrometry (FTICR MS) coupled with chip-based direct-infusion nanoelectrospray ionization source (CBDInanoESI) in a negative ion mode is first employed to evaluate the effect of serum and its corresponding supernatant matrixes on the recoveries of serum free fatty acids (FFAs) based on spike-and-recovery experimental strategy by adding analytes along with analog internal standard (IS). The recoveries between serum (69.8-115.6%) and the supernatant (73.6-99.0%) matrixes are almost identical. Multiple point internal standard calibration curves between the concentration ratios of individual fatty acids to ISs, (C(17:1) as IS of C(16:1), C(18:3), C(18:2), or C(18:1) or C(21:0) as IS of C(20:4) or C(22:6)) versus their corresponding intensity ratios were constructed for C(16:1), C(18:3), C(18:2), C(18:1), C(20:4) and C(22:6), respectively, with correlation coefficients of greater than 0.99, lower limits of detection between 0.3 and 1.8 nM, and intra- and inter-day precision (relative standard deviations <18%), along with the linear dynamic range of three orders of magnitude. Sequentially, this advanced analytical platform was applied to perform simultaneous quantitative and qualitative analysis of multiple targets, e.g., serum supernatant unsaturated FFAs from 361 participants including 95 patients with pancreatic cancer (PC), 61 patients with pancreatitis and 205 healthy controls. Experimental results indicate that the levels of C(18:1), C(18:2), C(18:3), C(20:4) and C(22:6), as well as the level ratios of C(18:2)/C(18:1) and C(18:3)/C(18:1) of the PC patients were significantly decreased compared with those of healthy controls and the patients with pancreatitis (p < 0.01). It is worth noting that the ratio of C(18:2)/C(18:1), polyunsaturated fatty acids (PUFAs) (C(18:2), C(18:3), C(20:4), and C(22:6)), panel a (C(16:1), C(18:3), C(18:2), C(20:4) and C(22:6)) and panel b (C(18:2)/C(18:1) and C(18:3)/C(18:1)) performed excellent diagnostic ability, with an area under the receiver operating characteristic curve of ≥0.869, sensitivity of ≥85.7%, and specificity of ≥86.7% for differentiating the early stage PC from non-cancer subjects, which are greatly higher than those of clinically used serum biomarker CA 19-9. More importantly, this platform can also provide a fast and easy way to quantify the levels of FFAs in less than 30 s per sample.In this study, Fourier transform ion cyclotron resonance mass spectrometry (FTICR MS) coupled with chip-based direct-infusion nanoelectrospray ionization source (CBDInanoESI) in a negative ion mode is first employed to evaluate the effect of serum and its corresponding supernatant matrixes on the recoveries of serum free fatty acids (FFAs) based on spike-and-recovery experimental strategy by adding analytes along with analog internal standard (IS). The recoveries between serum (69.8-115.6%) and the supernatant (73.6-99.0%) matrixes are almost identical. Multiple point internal standard calibration curves between the concentration ratios of individual fatty acids to ISs, (C(17:1) as IS of C(16:1), C(18:3), C(18:2), or C(18:1) or C(21:0) as IS of C(20:4) or C(22:6)) versus their corresponding intensity ratios were constructed for C(16:1), C(18:3), C(18:2), C(18:1), C(20:4) and C(22:6), respectively, with correlation coefficients of greater than 0.99, lower limits of detection between 0.3 and 1.8 nM, and intra- and inter-day precision (relative standard deviations <18%), along with the linear dynamic range of three orders of magnitude. Sequentially, this advanced analytical platform was applied to perform simultaneous quantitative and qualitative analysis of multiple targets, e.g., serum supernatant unsaturated FFAs from 361 participants including 95 patients with pancreatic cancer (PC), 61 patients with pancreatitis and 205 healthy controls. Experimental results indicate that the levels of C(18:1), C(18:2), C(18:3), C(20:4) and C(22:6), as well as the level ratios of C(18:2)/C(18:1) and C(18:3)/C(18:1) of the PC patients were significantly decreased compared with those of healthy controls and the patients with pancreatitis (p < 0.01). It is worth noting that the ratio of C(18:2)/C(18:1), polyunsaturated fatty acids (PUFAs) (C(18:2), C(18:3), C(20:4), and C(22:6)), panel a (C(16:1), C(18:3), C(18:2), C(20:4) and C(22:6)) and panel b (C(18:2)/C(18:1) and C(18:3)/C(18:1)) performed excellent diagnostic ability, with an area under the receiver operating characteristic curve of ≥0.869, sensitivity of ≥85.7%, and specificity of ≥86.7% for differentiating the early stage PC from non-cancer subjects, which are greatly higher than those of clinically used serum biomarker CA 19-9. More importantly, this platform can also provide a fast and easy way to quantify the levels of FFAs in less than 30 s per sample. |
Author | Qiu, Ling Wang, Yanmin Li, Zhili Zhang, Yaping Qin, Xuzhen |
Author_xml | – sequence: 1 givenname: Yaping surname: Zhang fullname: Zhang, Yaping organization: Department of Biophysics and structural biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing 100005, PR China – sequence: 2 givenname: Ling surname: Qiu fullname: Qiu, Ling organization: Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China – sequence: 3 givenname: Yanmin surname: Wang fullname: Wang, Yanmin organization: Department of Clinical Laboratory, Heze Municipal Hospital, , PR China – sequence: 4 givenname: Xuzhen surname: Qin fullname: Qin, Xuzhen organization: Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China – sequence: 5 givenname: Zhili surname: Li fullname: Li, Zhili organization: Department of Biophysics and structural biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing 100005, PR China |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24551873$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1021/pr100101p 10.1021/pr400337b 10.3322/caac.21166 10.1158/1078-0432.CCR-13-0209 10.1016/j.cell.2009.11.027 10.1021/ac202220b 10.1177/1087057113496276 10.1148/radiol.2312031025 10.1177/1087057112441013 10.1021/ac301984t 10.1021/pr200550p 10.1016/j.cca.2012.08.010 10.1016/j.jchromb.2010.08.035 10.1194/jlr.M008011 10.1089/adt.2009.0200 10.1080/01635581.2012.716138 10.1002/rcm.1747 10.1021/ac0260692 10.1038/nprot.2011.335 10.1016/j.biochi.2009.01.008 10.1002/rcm.6420 10.1097/00006676-199411000-00008 10.1016/j.mehy.2013.03.027 10.1002/rcm.1587 10.1007/s10495-008-0298-2 10.1259/bjr/42007785 10.1016/j.ejso.2006.10.004 10.1007/s13277-011-0297-8 10.1373/clinchem.2007.089011 10.1177/1087057110391656 10.1158/0008-5472.CAN-13-0308 10.1158/1078-0432.CCR-10-3074 10.1002/elps.201200390 10.1177/107327480801500402 10.1016/j.aca.2013.07.060 10.1021/ac202602u 10.1021/pr9004162 10.1158/1055-9965.EPI-12-1033 10.1016/j.clinbiochem.2011.10.011 |
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References | Li (C3AN02130K-(cit22)/*[position()=1]) 2013; 27 Leveridge (C3AN02130K-(cit27)/*[position()=1]) 2014; 19 Hellmuth (C3AN02130K-(cit29)/*[position()=1]) 2012; 84 Molina (C3AN02130K-(cit39)/*[position()=1]) 2012; 33 Goonetilleke (C3AN02130K-(cit38)/*[position()=1]) 2007; 33 Wikoff (C3AN02130K-(cit14)/*[position()=1]) 2007; 53 Rocha (C3AN02130K-(cit21)/*[position()=1]) 2011; 10 Kim (C3AN02130K-(cit17)/*[position()=1]) 2010; 9 Tan (C3AN02130K-(cit20)/*[position()=1]) 2013; 12 Highkin (C3AN02130K-(cit25)/*[position()=1]) 2011; 16 Klapman (C3AN02130K-(cit2)/*[position()=1]) 2008; 15 Qiu (C3AN02130K-(cit15)/*[position()=1]) 2009; 8 Wickremsinhe (C3AN02130K-(cit33)/*[position()=1]) 2005; 19 Huang (C3AN02130K-(cit8)/*[position()=1]) 2013; 73 Kamphorst (C3AN02130K-(cit31)/*[position()=1]) 2011; 83 Goggins (C3AN02130K-(cit5)/*[position()=1]) 2011; 17 Nomura (C3AN02130K-(cit10)/*[position()=1]) 2010; 140 Serini (C3AN02130K-(cit11)/*[position()=1]) 2009; 14 Siegel (C3AN02130K-(cit1)/*[position()=1]) 2013; 63 Zhang (C3AN02130K-(cit23)/*[position()=1]) 2013; 794 Holt (C3AN02130K-(cit24)/*[position()=1]) 2009; 7 Macasek (C3AN02130K-(cit37)/*[position()=1]) 2012; 64 Calder (C3AN02130K-(cit12)/*[position()=1]) 2009; 91 Ramautar (C3AN02130K-(cit19)/*[position()=1]) 2013; 34 Israel (C3AN02130K-(cit3)/*[position()=1]) 2004; 231 Ren (C3AN02130K-(cit7)/*[position()=1]) 2013; 80 Kobayashi (C3AN02130K-(cit18)/*[position()=1]) 2013; 22 Lee (C3AN02130K-(cit4)/*[position()=1]) 2012; 85 Wu (C3AN02130K-(cit26)/*[position()=1]) 2012; 17 Zhang (C3AN02130K-(cit36)/*[position()=1]) 2013; 19 Satake (C3AN02130K-(cit6)/*[position()=1]) 1994; 9 Leuthold (C3AN02130K-(cit34)/*[position()=1]) 2004; 18 Liu (C3AN02130K-(cit32)/*[position()=1]) 2010; 878 Guo (C3AN02130K-(cit13)/*[position()=1]) 2012; 414 Dethy (C3AN02130K-(cit35)/*[position()=1]) 2003; 75 Persson (C3AN02130K-(cit30)/*[position()=1]) 2010; 51 Dunn (C3AN02130K-(cit28)/*[position()=1]) 2011; 6 Lv (C3AN02130K-(cit9)/*[position()=1]) 2012; 45 Dai (C3AN02130K-(cit16)/*[position()=1]) 2012; 84 |
References_xml | – volume: 9 start-page: 4368 year: 2010 ident: C3AN02130K-(cit17)/*[position()=1] publication-title: J. Proteome Res. doi: 10.1021/pr100101p – volume: 12 start-page: 3000 year: 2013 ident: C3AN02130K-(cit20)/*[position()=1] publication-title: J. Proteome Res. doi: 10.1021/pr400337b – volume: 63 start-page: 11 year: 2013 ident: C3AN02130K-(cit1)/*[position()=1] publication-title: Ca-Cancer J. Clin. doi: 10.3322/caac.21166 – volume: 19 start-page: 4983 year: 2013 ident: C3AN02130K-(cit36)/*[position()=1] publication-title: Clin. Cancer Res. doi: 10.1158/1078-0432.CCR-13-0209 – volume: 140 start-page: 49 year: 2010 ident: C3AN02130K-(cit10)/*[position()=1] publication-title: Cell doi: 10.1016/j.cell.2009.11.027 – volume: 83 start-page: 9114 year: 2011 ident: C3AN02130K-(cit31)/*[position()=1] publication-title: Anal. Chem. doi: 10.1021/ac202220b – volume: 19 start-page: 278 year: 2014 ident: C3AN02130K-(cit27)/*[position()=1] publication-title: J. Biomol. Screening doi: 10.1177/1087057113496276 – volume: 231 start-page: 365 year: 2004 ident: C3AN02130K-(cit3)/*[position()=1] publication-title: Radiology doi: 10.1148/radiol.2312031025 – volume: 17 start-page: 761 year: 2012 ident: C3AN02130K-(cit26)/*[position()=1] publication-title: J. Biomol. Screening doi: 10.1177/1087057112441013 – volume: 84 start-page: 10245 year: 2012 ident: C3AN02130K-(cit16)/*[position()=1] publication-title: Anal. Chem. doi: 10.1021/ac301984t – volume: 10 start-page: 4314 year: 2011 ident: C3AN02130K-(cit21)/*[position()=1] publication-title: J. Proteome Res. doi: 10.1021/pr200550p – volume: 414 start-page: 135 year: 2012 ident: C3AN02130K-(cit13)/*[position()=1] publication-title: Clin. Chim. Acta doi: 10.1016/j.cca.2012.08.010 – volume: 878 start-page: 2817 year: 2010 ident: C3AN02130K-(cit32)/*[position()=1] publication-title: J. Chromatogr. B: Anal. Technol. Biomed. Life Sci. doi: 10.1016/j.jchromb.2010.08.035 – volume: 51 start-page: 2761 year: 2010 ident: C3AN02130K-(cit30)/*[position()=1] publication-title: J. Lipid Res. doi: 10.1194/jlr.M008011 – volume: 7 start-page: 495 year: 2009 ident: C3AN02130K-(cit24)/*[position()=1] publication-title: Assay Drug Dev. Technol. doi: 10.1089/adt.2009.0200 – volume: 64 start-page: 946 year: 2012 ident: C3AN02130K-(cit37)/*[position()=1] publication-title: Nutr. Cancer doi: 10.1080/01635581.2012.716138 – volume: 19 start-page: 47 year: 2005 ident: C3AN02130K-(cit33)/*[position()=1] publication-title: Rapid Commun. Mass Spectrom. doi: 10.1002/rcm.1747 – volume: 75 start-page: 805 year: 2003 ident: C3AN02130K-(cit35)/*[position()=1] publication-title: Anal. Chem. doi: 10.1021/ac0260692 – volume: 6 start-page: 1060 year: 2011 ident: C3AN02130K-(cit28)/*[position()=1] publication-title: Nat. Protocols doi: 10.1038/nprot.2011.335 – volume: 91 start-page: 791 year: 2009 ident: C3AN02130K-(cit12)/*[position()=1] publication-title: Biochimie doi: 10.1016/j.biochi.2009.01.008 – volume: 27 start-page: 24 year: 2013 ident: C3AN02130K-(cit22)/*[position()=1] publication-title: Rapid Commun. Mass Spectrom. doi: 10.1002/rcm.6420 – volume: 9 start-page: 720 year: 1994 ident: C3AN02130K-(cit6)/*[position()=1] publication-title: Pancreas doi: 10.1097/00006676-199411000-00008 – volume: 80 start-page: 833 year: 2013 ident: C3AN02130K-(cit7)/*[position()=1] publication-title: Med. Hypotheses doi: 10.1016/j.mehy.2013.03.027 – volume: 18 start-page: 1995 year: 2004 ident: C3AN02130K-(cit34)/*[position()=1] publication-title: Rapid Commun. Mass Spectrom. doi: 10.1002/rcm.1587 – volume: 14 start-page: 135 year: 2009 ident: C3AN02130K-(cit11)/*[position()=1] publication-title: Apoptosis doi: 10.1007/s10495-008-0298-2 – volume: 85 start-page: 571 year: 2012 ident: C3AN02130K-(cit4)/*[position()=1] publication-title: Br. J. Radiol. doi: 10.1259/bjr/42007785 – volume: 33 start-page: 266 year: 2007 ident: C3AN02130K-(cit38)/*[position()=1] publication-title: Eur. J. Surg. Oncol. doi: 10.1016/j.ejso.2006.10.004 – volume: 33 start-page: 799 year: 2012 ident: C3AN02130K-(cit39)/*[position()=1] publication-title: Tumor Biol. doi: 10.1007/s13277-011-0297-8 – volume: 53 start-page: 2169 year: 2007 ident: C3AN02130K-(cit14)/*[position()=1] publication-title: Clin. Chem. doi: 10.1373/clinchem.2007.089011 – volume: 16 start-page: 272 year: 2011 ident: C3AN02130K-(cit25)/*[position()=1] publication-title: J. Biomol. Screening doi: 10.1177/1087057110391656 – volume: 73 start-page: 4992 year: 2013 ident: C3AN02130K-(cit8)/*[position()=1] publication-title: Cancer Res. doi: 10.1158/0008-5472.CAN-13-0308 – volume: 17 start-page: 635 year: 2011 ident: C3AN02130K-(cit5)/*[position()=1] publication-title: Clin. Cancer Res. doi: 10.1158/1078-0432.CCR-10-3074 – volume: 34 start-page: 86 year: 2013 ident: C3AN02130K-(cit19)/*[position()=1] publication-title: Electrophoresis doi: 10.1002/elps.201200390 – volume: 15 start-page: 280 year: 2008 ident: C3AN02130K-(cit2)/*[position()=1] publication-title: Cancer Control doi: 10.1177/107327480801500402 – volume: 794 start-page: 82 year: 2013 ident: C3AN02130K-(cit23)/*[position()=1] publication-title: Anal. Chim. Acta doi: 10.1016/j.aca.2013.07.060 – volume: 84 start-page: 1483 year: 2012 ident: C3AN02130K-(cit29)/*[position()=1] publication-title: Anal. Chem. doi: 10.1021/ac202602u – volume: 8 start-page: 4844 year: 2009 ident: C3AN02130K-(cit15)/*[position()=1] publication-title: J. Proteome Res. doi: 10.1021/pr9004162 – volume: 22 start-page: 571 year: 2013 ident: C3AN02130K-(cit18)/*[position()=1] publication-title: Cancer Epidemiol., Biomarkers Prev. doi: 10.1158/1055-9965.EPI-12-1033 – volume: 45 start-page: 127 year: 2012 ident: C3AN02130K-(cit9)/*[position()=1] publication-title: Clin. Biochem. doi: 10.1016/j.clinbiochem.2011.10.011 |
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SubjectTerms | Adult Age Factors Aged Biomarkers - blood Case-Control Studies Cyclotrons Diagnostic systems Early Diagnosis Fatty acids Fatty Acids, Unsaturated - blood Female High-Throughput Screening Assays - instrumentation High-Throughput Screening Assays - methods Humans Male Middle Aged Nanostructure Pancreatic Neoplasms - blood Pancreatitis - blood Panels Patients Polycarbonates Reproducibility of Results Sensitivity and Specificity Serums Sex Factors Spectrometry, Mass, Electrospray Ionization - instrumentation Spectrometry, Mass, Electrospray Ionization - methods Spectroscopy, Fourier Transform Infrared - instrumentation Spectroscopy, Fourier Transform Infrared - methods Unsaturated |
Title | High-throughput and high-sensitivity quantitative analysis of serum unsaturated fatty acids by chip-based nanoelectrospray ionization-Fourier transform ion cyclotron resonance mass spectrometry: Early stage diagnostic biomarkers of pancreatic cancer |
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