Research Article
Biomarker Identification and Pathway Analysis by Serum Metabolomics of Lung Cancer
Table 2
GC/MS identification of potential serum biomarkers in lung cancer.
|
Number |
Retention time (min) | m/z |
Metabolites | Relative mass intensity | Control group | Preoperative lung cancer group (PRLC) | Postoperative lung cancer group (POLC) |
| 1 | 9.21 | 131.1089 | -Hydroxyisobutyric acid | 306.84 ± 153.64 | 556.54 ± 220.00* | 803.58 ± 329.41* | 2 | 12.23 | 132.1187 | Serine | 183.48 ± 96.63 | 114.92 ± 89.30*# | 284.16 ± 184.76 | 3 | 18.99 | 292.2003 | 2,3,4-Trihydroxybutyric acid | 71.89 ± 30.60 | 24.63 ± 24.13* | 23.02 ± 14.47* | 4 | 30.27 | 122.1582 | 9,12-Octadecadienoic acid | 9.88 ± 5.79 | 24.90 ± 18.09*# | 13.57 ± 9.30 | 5 | 30.38 | 117.0664 | Oleic acid | 244.99 ± 131.32 | 605.66 ± 361.44*# | 346.58 ± 164.66 |
|
|
*Compared with control group, ; #compared with postoperative lung cancer group, .
|