BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Chen JL, Tang HQ, Hu JD, Fan J, Hong J, Gu JZ. Metabolomics of gastric cancer metastasis detected by gas chromatography and mass spectrometry. World J Gastroenterol 2010; 16(46): 5874-5880 [PMID: 21155010 DOI: 10.3748/wjg.v16.i46.5874] [Cited by in CrossRef: 36] [Cited by in F6Publishing: 32] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Li J, Wang Q, Zheng Y, Zhou P, Xu X, Liu X, Zhao L, Liu H. Development of a mass spectrometry-based pseudotargeted metabolomics strategy to analyze hormone-stimulated gastric cancer cells. J Pharm Biomed Anal 2020;180:113041. [PMID: 31855724 DOI: 10.1016/j.jpba.2019.113041] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
2 Chan AW, Gill RS, Schiller D, Sawyer MB. Potential role of metabolomics in diagnosis and surveillance of gastric cancer. World J Gastroenterol 2014; 20(36): 12874-12882 [PMID: 25278684 DOI: 10.3748/wjg.v20.i36.12874] [Cited by in CrossRef: 33] [Cited by in F6Publishing: 26] [Article Influence: 4.1] [Reference Citation Analysis]
3 Kouremenos KA, Johansson M, Marriott PJ. Advances in gas chromatographic methods for the identification of biomarkers in cancer. J Cancer 2012;3:404-20. [PMID: 23074381 DOI: 10.7150/jca.4956] [Cited by in Crossref: 28] [Cited by in F6Publishing: 22] [Article Influence: 2.8] [Reference Citation Analysis]
4 Gu J, Hu X, Shao W, Ji T, Yang W, Zhuo H, Jin Z, Huang H, Chen J, Huang C, Lin D. Metabolomic analysis reveals altered metabolic pathways in a rat model of gastric carcinogenesis. Oncotarget 2016;7:60053-73. [PMID: 27527852 DOI: 10.18632/oncotarget.11049] [Cited by in Crossref: 22] [Cited by in F6Publishing: 22] [Article Influence: 5.5] [Reference Citation Analysis]
5 Han J, Li Q, Chen Y, Yang Y. Recent Metabolomics Analysis in Tumor Metabolism Reprogramming. Front Mol Biosci 2021;8:763902. [PMID: 34901157 DOI: 10.3389/fmolb.2021.763902] [Reference Citation Analysis]
6 Kadam W, Wei B, Li F. Metabolomics of Gastric Cancer. Adv Exp Med Biol 2021;1280:291-301. [PMID: 33791990 DOI: 10.1007/978-3-030-51652-9_20] [Reference Citation Analysis]
7 Yuan LW, Yamashita H, Seto Y. Glucose metabolism in gastric cancer: The cutting-edge. World J Gastroenterol 2016; 22(6): 2046-2059 [PMID: 26877609 DOI: 10.3748/wjg.v22.i6.2046] [Cited by in CrossRef: 39] [Cited by in F6Publishing: 42] [Article Influence: 6.5] [Reference Citation Analysis]
8 Gu J, Huang C, Hu X, Xia J, Shao W, Lin D. Nuclear magnetic resonance-based tissue metabolomic analysis clarifies molecular mechanisms of gastric carcinogenesis. Cancer Sci 2020;111:3195-209. [PMID: 32369664 DOI: 10.1111/cas.14443] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 4.0] [Reference Citation Analysis]
9 Lu X, Ji LJ, Chen JL. Metabolomic profiling of neoplastic lesions in mice. Methods Enzymol 2014;543:261-73. [PMID: 24924137 DOI: 10.1016/B978-0-12-801329-8.00013-1] [Cited by in Crossref: 2] [Article Influence: 0.3] [Reference Citation Analysis]
10 Rodríguez-Tomàs E, Arenas M, Gómez J, Acosta J, Trilla J, López Y, Árquez M, Torres L, Araguas P, Hernández-Aguilera A, Baiges-Gaya G, Castañé H, Camps J, Joven J. Identification of potential metabolic biomarkers of rectal cancer and of the effect of neoadjuvant radiochemotherapy. PLoS One 2021;16:e0250453. [PMID: 33886674 DOI: 10.1371/journal.pone.0250453] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
11 Kaur H, Mao S, Li Q, Sameni M, Krawetz SA, Sloane BF, Mattingly RR. RNA-Seq of human breast ductal carcinoma in situ models reveals aldehyde dehydrogenase isoform 5A1 as a novel potential target. PLoS One 2012;7:e50249. [PMID: 23236365 DOI: 10.1371/journal.pone.0050249] [Cited by in Crossref: 27] [Cited by in F6Publishing: 26] [Article Influence: 2.7] [Reference Citation Analysis]
12 Fong MY, McDunn J, Kakar SS. Identification of metabolites in the normal ovary and their transformation in primary and metastatic ovarian cancer. PLoS One 2011;6:e19963. [PMID: 21625518 DOI: 10.1371/journal.pone.0019963] [Cited by in Crossref: 95] [Cited by in F6Publishing: 94] [Article Influence: 8.6] [Reference Citation Analysis]
13 Farid SG, Morris-Stiff G. "OMICS" technologies and their role in foregut primary malignancies. Curr Probl Surg. 2015;52:409-441. [PMID: 26527526 DOI: 10.1067/j.cpsurg.2015.08.001] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 0.7] [Reference Citation Analysis]
14 Wang D, Li W, Zou Q, Yin L, Du Y, Gu J, Suo J. Serum metabolomic profiling of human gastric cancer and its relationship with the prognosis. Oncotarget 2017;8:110000-15. [PMID: 29299125 DOI: 10.18632/oncotarget.21314] [Cited by in Crossref: 5] [Cited by in F6Publishing: 9] [Article Influence: 1.0] [Reference Citation Analysis]
15 Xiao S, Li S, Yuan Z, Zhou L. Pyrroline-5-carboxylate reductase 1 (PYCR1) upregulation contributes to gastric cancer progression and indicates poor survival outcome. Ann Transl Med. 2020;8:937. [PMID: 32953737 DOI: 10.21037/atm-19-4402] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 4.5] [Reference Citation Analysis]
16 Kałużna-czaplińska J, Jóźwik J. Current applications of chromatographic methods for diagnosis and identification of potential biomarkers in cancer. TrAC Trends in Analytical Chemistry 2014;56:1-12. [DOI: 10.1016/j.trac.2013.12.007] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 0.8] [Reference Citation Analysis]
17 Sasada S, Miyata Y, Tsutani Y, Tsuyama N, Masujima T, Hihara J, Okada M. Metabolomic analysis of dynamic response and drug resistance of gastric cancer cells to 5-fluorouracil. Oncol Rep. 2013;29:925-931. [PMID: 23232983 DOI: 10.3892/or.2012.2182] [Cited by in Crossref: 18] [Cited by in F6Publishing: 17] [Article Influence: 1.8] [Reference Citation Analysis]
18 Chang JJ, Wang XY, Zhang W, Tan C, Sheng WQ, Xu MD. Comprehensive molecular characterization and identification of prognostic signature in stomach adenocarcinoma on the basis of energy-metabolism-related genes. World J Gastrointest Oncol 2022; 14(2): 478-497 [DOI: 10.4251/wjgo.v14.i2.478] [Reference Citation Analysis]
19 Jayavelu ND, Bar NS. Metabolomic studies of human gastric cancer: Review. World J Gastroenterol 2014; 20(25): 8092-8101 [PMID: 25009381 DOI: 10.3748/wjg.v20.i25.8092] [Cited by in CrossRef: 40] [Cited by in F6Publishing: 32] [Article Influence: 5.0] [Reference Citation Analysis]
20 Chan AW, Mercier P, Schiller D, Bailey R, Robbins S, Eurich DT, Sawyer MB, Broadhurst D. (1)H-NMR urinary metabolomic profiling for diagnosis of gastric cancer. Br J Cancer. 2016;114:59-62. [PMID: 26645240 DOI: 10.1038/bjc.2015.414] [Cited by in Crossref: 53] [Cited by in F6Publishing: 47] [Article Influence: 7.6] [Reference Citation Analysis]
21 Mishur RJ, Rea SL. Applications of mass spectrometry to metabolomics and metabonomics: detection of biomarkers of aging and of age-related diseases. Mass Spectrom Rev 2012;31:70-95. [PMID: 21538458 DOI: 10.1002/mas.20338] [Cited by in Crossref: 102] [Cited by in F6Publishing: 95] [Article Influence: 9.3] [Reference Citation Analysis]
22 Cicek AE, Bederman I, Henderson L, Drumm ML, Ozsoyoglu G. ADEMA: an algorithm to determine expected metabolite level alterations using mutual information. PLoS Comput Biol 2013;9:e1002859. [PMID: 23341761 DOI: 10.1371/journal.pcbi.1002859] [Cited by in Crossref: 17] [Cited by in F6Publishing: 16] [Article Influence: 1.9] [Reference Citation Analysis]
23 Taware R, Taunk K, Pereira JAM, Dhakne R, Kannan N, Soneji D, Câmara JS, Nagarajaram HA, Rapole S. Investigation of urinary volatomic alterations in head and neck cancer: a non-invasive approach towards diagnosis and prognosis. Metabolomics 2017;13. [DOI: 10.1007/s11306-017-1251-6] [Cited by in Crossref: 13] [Cited by in F6Publishing: 3] [Article Influence: 2.6] [Reference Citation Analysis]
24 Fan J, Hong J, Hu JD, Chen JL. Ion chromatography based urine amino Acid profiling applied for diagnosis of gastric cancer. Gastroenterol Res Pract. 2012;2012:474907. [PMID: 22888338 DOI: 10.1155/2012/474907] [Cited by in Crossref: 15] [Cited by in F6Publishing: 19] [Article Influence: 1.5] [Reference Citation Analysis]
25 Mirnezami R, Kinross JM, Vorkas PA, Goldin R, Holmes E, Nicholson J, Darzi A. Implementation of molecular phenotyping approaches in the personalized surgical patient journey. Ann Surg. 2012;255:881-889. [PMID: 22156927 DOI: 10.1097/sla.0b013e31823e3c43] [Cited by in Crossref: 30] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]
26 Jin H, Qiao F, Chen L, Lu C, Xu L, Gao X. Serum metabolomic signatures of lymph node metastasis of esophageal squamous cell carcinoma. J Proteome Res. 2014;13:4091-4103. [PMID: 25162382 DOI: 10.1021/pr500483z] [Cited by in Crossref: 45] [Cited by in F6Publishing: 46] [Article Influence: 5.6] [Reference Citation Analysis]
27 Jiang J, Li B, He W, Huang C. Dietary serine supplementation: Friend or foe? Curr Opin Pharmacol 2021;61:12-20. [PMID: 34547701 DOI: 10.1016/j.coph.2021.08.011] [Reference Citation Analysis]
28 Chen JL, Fan J, Yan LS, Guo HQ, Xiong JJ, Ren Y, Hu JD. Urine Metabolite Profiling of Human Colorectal Cancer by Capillary Electrophoresis Mass Spectrometry Based on MRB. Gastroenterol Res Pract. 2012;2012:125890. [PMID: 23243419 DOI: 10.1155/2012/125890] [Cited by in Crossref: 15] [Cited by in F6Publishing: 15] [Article Influence: 1.5] [Reference Citation Analysis]
29 Yang Y, Zhang J, Liu Y, Li B, Li J, Zheng L, Wang L. Metabonomic analysis of metastatic lung tissue in breast cancer mice by an integrated NMR-based metabonomics approach. RSC Adv 2017;7:28001-8. [DOI: 10.1039/c7ra02069d] [Cited by in Crossref: 2] [Article Influence: 0.4] [Reference Citation Analysis]
30 Yong Chan EC, Mal M, Pasikanti KK. Metabonomics. Gas Chromatography. Elsevier; 2012. pp. 545-62. [DOI: 10.1016/b978-0-12-385540-4.00024-9] [Cited by in Crossref: 1] [Article Influence: 0.1] [Reference Citation Analysis]
31 Ammar NM, Hassan H, Ahmed R, El Gendy AE, Abd-ElGawad A, Farrag AR, Farag AR, Elshamy A, Afifi S. Gastro-protective effect of Artemisia sieberi essential oil against ethanol-induced ulcer in rats as revealed via biochemical, histopathological and metabolomics analysis. Biomarkers 2022;:1-45. [PMID: 34978233 DOI: 10.1080/1354750X.2021.2025428] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
32 McNiven EM, German JB, Slupsky CM. Analytical metabolomics: nutritional opportunities for personalized health. J Nutr Biochem. 2011;22:995-1002. [PMID: 21999844 DOI: 10.1016/j.jnutbio.2011.05.016] [Cited by in Crossref: 46] [Cited by in F6Publishing: 37] [Article Influence: 4.6] [Reference Citation Analysis]
33 Chen ZY, Jiang N, Guo S, Li BB, Yang JQ, Chai SB, Yan HF, Sun PM, Zhang T, Sun HW, Yang HM, Zhou JL, Cui Y. Effect of simulated microgravity on metabolism of HGC-27 gastric cancer cells. Oncol Lett 2020;19:3439-50. [PMID: 32269617 DOI: 10.3892/ol.2020.11451] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
34 Liu HN, Wu H, Tseng YJ, Chen YJ, Zhang DY, Zhu L, Dong L, Shen XZ, Liu TT. Serum microRNA signatures and metabolomics have high diagnostic value in gastric cancer. BMC Cancer 2018;18:415. [PMID: 29653559 DOI: 10.1186/s12885-018-4343-4] [Cited by in Crossref: 15] [Cited by in F6Publishing: 15] [Article Influence: 3.8] [Reference Citation Analysis]
35 Trivedi DK, Iles RK. Do not just do it, do it right: urinary metabolomics -establishing clinically relevant baselines: Choosing correct tools for shotgun urinary metabolomics. Biomed Chromatogr 2014;28:1491-501. [DOI: 10.1002/bmc.3219] [Cited by in Crossref: 15] [Cited by in F6Publishing: 13] [Article Influence: 1.9] [Reference Citation Analysis]
36 Gao X, Guo R, Li Y, Kang G, Wu Y, Cheng J, Jia J, Wang W, Li Z, Wang A, Xu H, Jia Y, Li Y, Qi X, Wei Z, Wei C. Contribution of upregulated aminoacyl-tRNA biosynthesis to metabolic dysregulation in gastric cancer. J Gastroenterol Hepatol 2021. [PMID: 34159625 DOI: 10.1111/jgh.15592] [Reference Citation Analysis]