Copyright
©The Author(s) 2019.
World J Meta-Anal. May 31, 2019; 7(5): 184-208
Published online May 31, 2019. doi: 10.13105/wjma.v7.i5.184
Published online May 31, 2019. doi: 10.13105/wjma.v7.i5.184
Sample types | Evidence of efficacy | Advantage | Disadvantage |
Blood-based biomarkers (serum, plasma, and dried blood spot) | A combination of 8 metabolites (99.3% sensitivity, 93.8% specificity, and AUC 0.996)[94] Gastrointestinal tract acid 446 (83.3% sensitivity, 84.8% specificity, 85.7%, and 52.1% , respectively)[96,97] Decanoic acid (87.87% sensitivity, 80.0% specificity, 71.0%, and 75.0%, respectively)[98,99] | Easily accessible Less affected by diet than urine Less diurnal variation and Less inter- and intra-subject variability than urine Stable over a 4-mo period frozen at -80 °C except at room temperature | Affected by smoking status More invasive than urine and stool Analysis can be more complex than urine |
Urine | Cross-validated panel of seven metabolites (97.5% sensitivity, 100% specificity, and AUC 0.998)[104] 10 different metabolites (100% sensitivity, 80% specificity but small sample size)[103] N1, N12-Diacetylspermine[105,106] | Easily accessible Less invasive than blood | More affected by diet than serum samples More diurnal variation and More inter- and intra-subject variability than serum A full day storing at room temperature or on cool packs altered metabolite concentration More than 2 freeze and thaw cycles affected the metabolic profile significantly |
Stool | A three metabolite panel (AUC 1.0 but very small sample size)[107] A metabolomics panel (AUC 0.94)[108] | Easily accessible Less invasive than blood | Inconvenient to collect of stool samples Low compliance |
- Citation: Hong JT, Kim ER. Current state and future direction of screening tool for colorectal cancer. World J Meta-Anal 2019; 7(5): 184-208
- URL: https://www.wjgnet.com/2308-3840/full/v7/i5/184.htm
- DOI: https://dx.doi.org/10.13105/wjma.v7.i5.184