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. 2018 Jun 25;109(7):2315–2326. doi: 10.1111/cas.13629

Table 2.

Summary of potential biomarkers of breast cancer progression by UPLC/MS analysis

m/z RT (min) Metabolitea Adductb Related pathway Contentc
LC/NC MT/LC
318.241 7.19989 9‐cis‐Retinoic acid M + NH4 [1+] Retinol metabolism Down* Down**
176.066 0.89564 l‐Dihydroorotic acid M + NH4 [1+] Pyrimidine metabolism Up* Up**
274.092 4.90187 Sphinganine M + NH4 [1+] Sphingolipid metabolism Up* Up**
546.353 8.60841 LysoPC(0:0/18:0) M + Na [1+] Glycerophospholipid metabolism Up* Up**
459.248 7.43676 LPA(18:1(9Z)/0:0) M + Na [1+] Glycerophospholipid metabolism Up* Up**
487.280 8.81888 SM(d18:0/16:1(9Z)) M + H [1+] Sphingolipid metabolism Up* Up**

LC, localized breast cancer serum sample; LPA, lysophosphatidic acid; lysoPC, lysophosphatidylcholine; MT, metastatic breast cancer serum sample; m/z, mass‐to‐charge ratio; NC, normal control sample; RT, retention time; SM, sphingomyelin; UPLC/MS, ultra‐performance liquid chromatography/mass spectroscopy.

a

Metabolites formally identified by standard comparison.

b

Ionospheric models of mass spectrometry cationic scanning.

c

Comparison of characteristic metabolites’ integral peak area in the 3 groups.

Non‐parametric test was used for comparisons among the groups (*< .05, **< .01).