Table 2 Urine potential biomarkers associated with ESCC.

From: Global metabolomics reveals potential urinary biomarkers of esophageal squamous cell carcinoma for diagnosis and staging

No.

RT(min)

m/z

metabolite identification

P-valuec

VIPd

trende

related pathway

The identification scoref

1

9.43

130.0501

Pyroglutamic acidb

3.65E-06

6.59

Glutamine metabolism

6

2

7.45

134.0591

Indoxylb

0.006

1.52

Tryptophan metabolism

6

3

2.27

139.0507

Urocanic acida,b

0.017

1.53

Histidine metabolism

8

4

1.45

162.1097

L-Carnitinea,b

0.021

2.79

Fatty acid transportation

8

5

2.27

165.0554

L-Fucosea,b

0.003

1.88

Fructose and mannose degradation

8

6

2.89

169.0378

Uric acida,b

4.89E-05

7.12

Purine metabolism

8

7

9.56

181.0719

Paraxanthineb

0.012

2.31

Caffeine metabolism

6

8

2.07

204.1249

Acetylcarnitineb

0.025

6.65

Fatty acid β oxidation

6

9

3.41

228.0801

Deoxycytidinea,b

2.51E-09

4.36

Pyrimidine metabolism

8

10

9.43

265.1169

Phenylacetylglutaminea,b

7.8E-07

12.91

Phenylalanine metabolism

8

11

11.93

274.2009

Heptanoylcarnitine (carnitine C 7:0)b

0.031

1.69

Fatty acid β oxidation

6

12

12.3

286.2005

Octenoylcarnitine (carnitine C 8:1)

0.008

2.13

Fatty acid β oxidation

4

13

13.39

300.2163

Nonenoylcarnitine (carnitine C 9:1)

0.025

1.39

Fatty acid β oxidation

4

14

14.03

302.2319

Nonanoylcarnitine (carnitine C 9:0)b

0.0025

3.39

Fatty acid β oxidation

6

15

14.92

316.2472

Decanoylcarnitine (carnitine C 10:0)a,b

0.012

1.36

Fatty acid β oxidation

8

16

15.14

328.2473

Undecenoylcarnitine (carnitine C 11:1)

0.019

1.78

Fatty acid β oxidation

4

17

5.08

330.0588

cAMPa,b

0.016

2.15

Purine metabolism

8

18

11.70

330.2650

Undecanoylcarnitine (carnitine C 11:0)b

0.019

1.45

Fatty acid β oxidation

6

19

4.94

346.0547

cGMPa,b

2E-14

3.17

Purine metabolism

8

  1. aMetabolites confirmed by standard compounds. bMetabolites provisionally identified by database searches and MS fragmentation. Others, proposals based on MS fragmentation and exact mass data. cP value of independent t-test. dVIP is variable importance in the projection obtained from OPLS-DA with a threshold of 1.0. eChange trend compared with controls. (↑): up-regulated. (↓): down-regulated. fThe identification score is calculated by the scoring metric.