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. 2019 May 8;11(1):3–14. doi: 10.3892/mco.2019.1853

Table II.

Characteristics of studies.

Sample size

Study Country Patients with CRC Healthy controls Polyps adenoma Sample extraction Analytical platform Data analysis Total metabolites detected No. of metabolites significantly different (Refs.)
Qiu et al, 2009 China 64 65 Yes GC-TOF-MS MATLAB 7.0 22 21 (19)
UPLC-TOF-MS MarkerLynx 4.1 16 13
Nishiumi et al, 2012 Japan 60 60 Yes GC-MS MetAlign 126 54 (20)
Tan et al, 2013 China 101 102 Yes GC-TOF-MS ChromaTOF 107 34 (21)
UPLC-TOF-MS MarkerLynx 4.1 147 44
Cross et al, 2014 USA 254 254 Yes UPLC-GC-MS SAS 9.1.3 and R language 3.0.1 278 21 (22)
Zamani et al, 2014 Iran 33 33 No NMR Chenomix 6.4 14 14 (23)
Deng et al, 2016 USA 28 55 44 No NMR Bruker TopSpin 3.5 70 5 (24)
Uchiyama et al, 2017 Japan 56 60 59 Yes CE-TOF-MS PeakStat 139 70 (25)
Long et al, 2017 USA 30, 50 30, 50 30, 50 Unknown LC-MS Stata version 10.1- 404 50 (26)
Nishiumi et al, 2017 Japan 282 291 Yes GC-QqQ-MS JMP12 64 41 (27)

CRC, colorectal cancer; GC, gas chromatography; MS, mass spectrometry; TOF-MS, time-of-flight MS; UPLC, ultra-performance liquid chromatography; NMR, nuclear magnetic resonance; CE, capillary electrophoresis; LC, liquid chromatography; QqQ, triple-quadrupole.