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<strong>and</strong> glycerol were found to be lower in the metastasis<br />

group. Alanine <strong>and</strong> glycerol could get into the glycolytic<br />

pathway through gluconeogenesis, which produced more<br />

energy for the tumor progression <strong>and</strong> metastasis. The<br />

decreased level <strong>of</strong> L-proline in the metastasis group may<br />

be interpreted as increased dem<strong>and</strong> for structural proteins<br />

synthesis. These proteins, including receptors, membrane<br />

channels <strong>and</strong> enzymes, play an important role in tumor<br />

progression <strong>and</strong> metastasis [37-39] . Moreover, the higher<br />

level <strong>of</strong> myo-inositol in metastasis group urine, was consistent<br />

with the reduction <strong>of</strong> myo-inositol in lung cancer<br />

tissues [40] . The amount <strong>of</strong> myo-inositol may be a potential<br />

indicator for gastric cancer metastasis, as it has been<br />

reported that the Gly:Myo-inositol ratio may be a useful<br />

index for brain tumor classification [41] .<br />

What the difference <strong>of</strong> metabolite changes <strong>of</strong> butanoic<br />

acid <strong>and</strong> pyrimidine between the normal <strong>and</strong> the cancer<br />

groups, <strong>and</strong> the decreased levels <strong>of</strong> butanoic acid <strong>and</strong><br />

L-threonic acid in the metastasis group indicates remains<br />

unclear.<br />

In conclusion, GC/MS revealed detailed information<br />

on the metabolic pr<strong>of</strong>ile <strong>of</strong> normal <strong>and</strong> cancer urine <strong>and</strong><br />

was found to be suitable, in t<strong>and</strong>em with the PCA model,<br />

for the identification <strong>of</strong> metabolic variations characteristic<br />

<strong>of</strong> the gastric cancer. Furthermore, seven metabolites<br />

have been selected, which constructed a diagnostic model<br />

for distinguishing the non-metastatic <strong>and</strong> the metastatic<br />

gastric cancer. To our knowledge, this is the first report<br />

on urinary metabolomic investigation <strong>of</strong> gastric cancer<br />

metastasis by GC/MS. On the basis <strong>of</strong> this research, we<br />

believe that urinary metabolomic information obtained by<br />

GC/MS might play a significant role in the early diagnosis<br />

<strong>and</strong> screening metastasis or recurrence <strong>of</strong> gastric cancer.<br />

COMMENTS<br />

Background<br />

Gastric cancer is the second leading cause <strong>of</strong> cancer death worldwide, <strong>and</strong> in<br />

many Asian countries. Tumor metastasis is one <strong>of</strong> the leading causes <strong>of</strong> cancer<br />

death. Metabolic alterations play a role in the biology <strong>of</strong> cancer. The urinary<br />

metabolites as gastric cancer or tumor recurrence biomarkers can be obtained<br />

by investigating the urinary metabolic pr<strong>of</strong>iling.<br />

Research frontiers<br />

Metabolomics is a post-genomic research field for analysis <strong>of</strong> low molecular<br />

weight compounds in biological systems, <strong>and</strong> its approaches <strong>of</strong>fer an analysis<br />

<strong>of</strong> metabolite level changes in biological samples. Recently, metabolomic<br />

method has shown great potentials in identifying the new diagnostic markers<br />

<strong>and</strong> therapeutic targets for cancers. However, metabolomic studies on cancer<br />

metastasis remain scarce.<br />

Innovations <strong>and</strong> breakthroughs<br />

Recently, metabolomic studies on gastric cancer <strong>and</strong> colon cancer tissues have<br />

been conducted. Compared with tissues <strong>and</strong> serum, markers acquired from<br />

urine are noninvasive <strong>and</strong> convenient, especially in the <strong>patients</strong> with recurrent<br />

gastric cancer. This is the first report on urinary metabolomic investigation in<br />

gastric cancer using gas chromatography/mass spectrometry (GC/MS).<br />

Applications<br />

Potential metabolic biomarkers in urine could be used for early diagnosis <strong>and</strong><br />

screening the metastasis or the recurrence <strong>of</strong> gastric cancer.<br />

Terminology<br />

Metabolomics is a post-genomic research field for analysis <strong>of</strong> low molecular<br />

weight compounds in biological systems, <strong>and</strong> its approaches <strong>of</strong>fer an analysis<br />

<strong>of</strong> metabolite level changes in biological samples. Because <strong>of</strong> its peak resolu-<br />

WJG|www.wjgnet.com<br />

Hu JD et al . Urinary metabolomic pr<strong>of</strong>ile <strong>and</strong> gastric cancer<br />

tion, high sensitivity <strong>and</strong> reproducibility, GC/MS has been widely utilized in<br />

metabolomics.<br />

Peer review<br />

This manuscript evaluates tumor metabolism with a goal to identify possible<br />

biomarkers with potential diagnostic value <strong>and</strong> the potential for prediction <strong>of</strong><br />

tumor metastasis. The authors concluded that the urinary metabolomic pr<strong>of</strong>iling<br />

<strong>of</strong> each group is different, <strong>and</strong> the selected metabolites might be instructive to<br />

clinical diagnosis or screening metastasis for gastric cancer. This is a relevant<br />

r<strong>and</strong>omized control trial using an animal model to evaluate a non-invasive<br />

method for surveillance <strong>of</strong> gastric cancer.<br />

REFERENCES<br />

1 Leung WK, Wu MS, Kakugawa Y, Kim JJ, Yeoh KG, Goh KL,<br />

Wu KC, Wu DC, Sollano J, Kachintorn U, Gotoda T, Lin JT,<br />

You WC, Ng EK, Sung JJ. Screening for gastric cancer in Asia:<br />

current evidence <strong>and</strong> practice. Lancet Oncol 2008; 9: 279-287<br />

2 Brenner H, Rothenbacher D, Arndt V. Epidemiology <strong>of</strong><br />

stomach cancer. Methods Mol Biol 2009; 472: 467-477<br />

3 De Vita F, Vecchione L, Galizia G, Di Martino N, Fabozzi T,<br />

Catalano G, Ciardiello F, Orditura M. Perspectives in adjuvant<br />

therapy <strong>of</strong> gastric cancer. Oncology 2009; 77 Suppl 1: 38-42<br />

4 Cunningham D, Chua YJ. East meets west in the treatment<br />

<strong>of</strong> gastric cancer. N Engl J Med 2007; 357: 1863-1865<br />

5 Tashiro A, Sano M, Kinameri K, Fujita K, Takeuchi Y.<br />

Comparing mass screening techniques for gastric cancer in<br />

Japan. <strong>World</strong> J Gastroenterol 2006; 12: 4873-4874<br />

6 Catalano V, Labianca R, Beretta GD, Gatta G, de Braud F,<br />

Van Cutsem E. Gastric cancer. Crit Rev Oncol Hematol 2009;<br />

71: 127-164<br />

7 Shin CM, Kim N, Yang HJ, Cho SI, Lee HS, Kim JS, Jung<br />

HC, Song IS. Stomach cancer risk in gastric cancer relatives:<br />

interaction between Helicobacter pylori infection <strong>and</strong> family<br />

history <strong>of</strong> gastric cancer for the risk <strong>of</strong> stomach cancer. J Clin<br />

Gastroenterol 2010; 44: e34-e39<br />

8 Hao Y, Yu Y, Wang L, Yan M, Ji J, Qu Y, Zhang J, Liu B, Zhu<br />

Z. IPO-38 is identified as a novel serum biomarker <strong>of</strong> gastric<br />

cancer based on clinical proteomics technology. J Proteome<br />

Res 2008; 7: 3668-3677<br />

9 Chan DC, Chen CJ, Chu HC, Chang WK, Yu JC, Chen YJ,<br />

Wen LL, Huang SC, Ku CH, Liu YC, Chen JH. Evaluation<br />

<strong>of</strong> serum amyloid A as a biomarker for gastric cancer. Ann<br />

Surg Oncol 2007; 14: 84-93<br />

10 Kang X, Zhang L, Sun J, Ni Z, Ma Y, Chen X, Sheng X, Chen<br />

T. Prohibitin: a potential biomarker for tissue-based detection<br />

<strong>of</strong> gastric cancer. J Gastroenterol 2008; 43: 618-625<br />

11 Al-Moundhri MS, Al-Shukaili A, Al-Nabhani M, Al-Bahrani<br />

B, Burney IA, Rizivi A, Ganguly SS. Measurement <strong>of</strong><br />

circulating levels <strong>of</strong> VEGF-A, -C, <strong>and</strong> -D <strong>and</strong> their receptors,<br />

VEGFR-1 <strong>and</strong> -2 in gastric adenocarcinoma. <strong>World</strong> J Gastroenterol<br />

2008; 14: 3879-3883<br />

12 Abbaszadegan MR, Moaven O, Sima HR, Ghafarzadegan K,<br />

A'rabi A, Forghani MN, Raziee HR, Mashhadinejad A, Jafarzadeh<br />

M, Esmaili-Sh<strong>and</strong>iz E, Dadkhah E. p16 promoter hypermethylation:<br />

a useful serum marker for early detection<br />

<strong>of</strong> gastric cancer. <strong>World</strong> J Gastroenterol 2008; 14: 2055-2060<br />

13 Wu H, Xue R, Tang Z, Deng C, Liu T, Zeng H, Sun Y, Shen<br />

X. Metabolomic investigation <strong>of</strong> gastric cancer tissue using<br />

gas chromatography/mass spectrometry. Anal Bioanal Chem<br />

2010; 396: 1385-1395<br />

14 Madsen R, Lundstedt T, Trygg J. Chemometrics in metabolomics--a<br />

review in human disease diagnosis. Anal Chim<br />

Acta 2010; 659: 23-33<br />

15 Vinayavekhin N, Homan EA, Saghatelian A. Exploring disease<br />

through metabolomics. ACS Chem Biol 2010; 5: 91-103<br />

16 Hirayama A, Kami K, Sugimoto M, Sugawara M, Toki N,<br />

Onozuka H, Kinoshita T, Saito N, Ochiai A, Tomita M, Esumi<br />

H, Soga T. Quantitative metabolome pr<strong>of</strong>iling <strong>of</strong> colon<br />

<strong>and</strong> stomach cancer microenvironment by capillary electrophoresis<br />

time-<strong>of</strong>-flight mass spectrometry. Cancer Res 2009;<br />

733 February 14, 2011|Volume 17|Issue 6|

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