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For: Lin Y, Ma C, Liu C, Wang Z, Yang J, Liu X, Shen Z, Wu R. NMR-based fecal metabolomics fingerprinting as predictors of earlier diagnosis in patients with colorectal cancer. Oncotarget. 2016;7:29454-29464. [PMID: 27107423 DOI: 10.18632/oncotarget.8762] [Cited by in Crossref: 60] [Cited by in F6Publishing: 59] [Article Influence: 15.0] [Reference Citation Analysis]
Number Citing Articles
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2 Giskeødegård GF, Madssen TS, Euceda LR, Tessem MB, Moestue SA, Bathen TF. NMR-based metabolomics of biofluids in cancer. NMR Biomed 2018;:e3927. [PMID: 29672973 DOI: 10.1002/nbm.3927] [Cited by in Crossref: 16] [Cited by in F6Publishing: 15] [Article Influence: 5.3] [Reference Citation Analysis]
3 Lin Y, Ma C, Bezabeh T, Wang Z, Liang J, Huang Y, Zhao J, Liu X, Ye W, Tang W, Ouyang T, Wu R. 1 H NMR-based metabolomics reveal overlapping discriminatory metabolites and metabolic pathway disturbances between colorectal tumor tissues and fecal samples. Int J Cancer. 2019;145:1679-1689. [PMID: 30720869 DOI: 10.1002/ijc.32190] [Cited by in Crossref: 15] [Cited by in F6Publishing: 16] [Article Influence: 7.5] [Reference Citation Analysis]
4 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]
5 Huart J, Leenders J, Taminiau B, Descy J, Saint-Remy A, Daube G, Krzesinski JM, Melin P, de Tullio P, Jouret F. Gut Microbiota and Fecal Levels of Short-Chain Fatty Acids Differ Upon 24-Hour Blood Pressure Levels in Men. Hypertension 2019;74:1005-13. [PMID: 31352822 DOI: 10.1161/HYPERTENSIONAHA.118.12588] [Cited by in Crossref: 36] [Cited by in F6Publishing: 25] [Article Influence: 18.0] [Reference Citation Analysis]
6 Loktionov A. Biomarkers for detecting colorectal cancer non-invasively: DNA, RNA or proteins? World J Gastrointest Oncol 2020; 12(2): 124-148 [PMID: 32104546 DOI: 10.4251/wjgo.v12.i2.124] [Cited by in CrossRef: 20] [Cited by in F6Publishing: 19] [Article Influence: 20.0] [Reference Citation Analysis]
7 Erben V, Bhardwaj M, Schrotz-King P, Brenner H. Metabolomics Biomarkers for Detection of Colorectal Neoplasms: A Systematic Review. Cancers (Basel). 2018;10:246. [PMID: 30060469 DOI: 10.3390/cancers10080246] [Cited by in Crossref: 23] [Cited by in F6Publishing: 19] [Article Influence: 7.7] [Reference Citation Analysis]
8 Cui M, Trimigno A, Aru V, Rasmussen MA, Khakimov B, Engelsen SB. Influence of Age, Sex, and Diet on the Human Fecal Metabolome Investigated by 1H NMR Spectroscopy. J Proteome Res 2021;20:3642-53. [PMID: 34048241 DOI: 10.1021/acs.jproteome.1c00220] [Reference Citation Analysis]
9 Le Gall G, Guttula K, Kellingray L, Tett AJ, Ten Hoopen R, Kemsley EK, Savva GM, Ibrahim A, Narbad A. Metabolite quantification of faecal extracts from colorectal cancer patients and healthy controls. Oncotarget. 2018;9:33278-33289. [PMID: 30279959 DOI: 10.18632/oncotarget.26022] [Cited by in Crossref: 13] [Cited by in F6Publishing: 10] [Article Influence: 4.3] [Reference Citation Analysis]
10 Zhgun ES, Ilina EN. Fecal Metabolites As Non-Invasive Biomarkers of Gut Diseases. Acta Naturae 2020;12:4-14. [PMID: 32742723 DOI: 10.32607/actanaturae.10954] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
11 Hong JT, Kim ER. Current state and future direction of screening tool for colorectal cancer. World J Meta-Anal 2019; 7(5): 184-208 [DOI: 10.13105/wjma.v7.i5.184] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
12 Ye W, Lin Y, Bezabeh T, Ma C, Liang J, Zhao J, Ouyang T, Tang W, Wu R. 1 H NMR-based metabolomics of paired esophageal tumor tissues and serum samples identifies specific serum biomarkers for esophageal cancer. NMR Biomed 2021;34:e4505. [PMID: 33783927 DOI: 10.1002/nbm.4505] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
13 Lee JS, Kim SY, Chun YS, Chun YJ, Shin SY, Choi CH, Choi HK. Characteristics of fecal metabolic profiles in patients with irritable bowel syndrome with predominant diarrhea investigated using 1 H-NMR coupled with multivariate statistical analysis. Neurogastroenterol Motil 2020;32:e13830. [PMID: 32125749 DOI: 10.1111/nmo.13830] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
14 Ciborowski M, Kisluk J, Pietrowska K, Samczuk P, Parfieniuk E, Kowalczyk T, Kozlowski M, Kretowski A, Niklinski J. Development of LC-QTOF-MS method for human lung tissue fingerprinting. A preliminary application to nonsmall cell lung cancer. Electrophoresis 2017;38:2304-12. [PMID: 28440547 DOI: 10.1002/elps.201700022] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 1.8] [Reference Citation Analysis]
15 Huang J, Weinstein SJ, Moore SC, Derkach A, Hua X, Liao LM, Gu F, Mondul AM, Sampson JN, Albanes D. Serum Metabolomic Profiling of All-Cause Mortality: A Prospective Analysis in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) Study Cohort. Am J Epidemiol 2018;187:1721-32. [PMID: 29390044 DOI: 10.1093/aje/kwy017] [Cited by in Crossref: 15] [Cited by in F6Publishing: 12] [Article Influence: 7.5] [Reference Citation Analysis]
16 Zhang Q, Wang J, Zhang C, Liao S, Li P, Xu D, Lv Y, Yang M, Kong L. The components of Huang-Lian-Jie-Du-Decoction act synergistically to exert protective effects in a rat ischemic stroke model. Oncotarget 2016;7:80872-87. [PMID: 27779107 DOI: 10.18632/oncotarget.12645] [Cited by in Crossref: 23] [Cited by in F6Publishing: 23] [Article Influence: 7.7] [Reference Citation Analysis]
17 Chen Y, Zhang J, Guo L, Liu L, Wen J, Xu L, Yan M, Li Z, Zhang X, Nan P, Jiang J, Ji J, Zhang J, Cai W, Zhuang H, Wang Y, Zhu Z, Yu Y. A characteristic biosignature for discrimination of gastric cancer from healthy population by high throughput GC-MS analysis. Oncotarget 2016;7:87496-510. [PMID: 27589838 DOI: 10.18632/oncotarget.11754] [Cited by in Crossref: 22] [Cited by in F6Publishing: 20] [Article Influence: 7.3] [Reference Citation Analysis]
18 Nannini G, Meoni G, Tenori L, Ringressi MN, Taddei A, Niccolai E, Baldi S, Russo E, Luchinat C, Amedei A. Fecal metabolomic profiles: A comparative study of patients with colorectal cancer vs adenomatous polyps. World J Gastroenterol 2021; 27(38): 6430-6441 [PMID: 34720532 DOI: 10.3748/wjg.v27.i38.6430] [Reference Citation Analysis]
19 Dalla Pozza E, Dando I, Pacchiana R, Liboi E, Scupoli MT, Donadelli M, Palmieri M. Regulation of succinate dehydrogenase and role of succinate in cancer. Semin Cell Dev Biol 2020;98:4-14. [PMID: 31039394 DOI: 10.1016/j.semcdb.2019.04.013] [Cited by in Crossref: 32] [Cited by in F6Publishing: 31] [Article Influence: 16.0] [Reference Citation Analysis]
20 Madatali Abuwani A, Priyadarshini Dash S, Ganesan R, Renu K, Vellingiri B, Kandasamy S, C R SR, Valsala Gopalakrishnan A. Gut microbiome and metabolic response in non-alcoholic fatty liver disease. Clin Chim Acta 2021;523:304-14. [PMID: 34666025 DOI: 10.1016/j.cca.2021.10.014] [Reference Citation Analysis]
21 Nishiumi S, Kobayashi T, Kawana S, Unno Y, Sakai T, Okamoto K, Yamada Y, Sudo K, Yamaji T, Saito Y, Kanemitsu Y, Okita NT, Saito H, Tsugane S, Azuma T, Ojima N, Yoshida M. Investigations in the possibility of early detection of colorectal cancer by gas chromatography/triple-quadrupole mass spectrometry. Oncotarget. 2017;8:17115-17126. [PMID: 28179577 DOI: 10.18632/oncotarget.15081] [Cited by in Crossref: 28] [Cited by in F6Publishing: 30] [Article Influence: 7.0] [Reference Citation Analysis]
22 Anand S, Bose C, Kaur H, Mande SS. 'GutFeel': an in silico method for predicting gut health status based on the metabolic functional capabilities of the resident microbiome. FEBS Lett 2021;595:1825-43. [PMID: 33997973 DOI: 10.1002/1873-3468.14107] [Reference Citation Analysis]
23 Ranjan R, Sinha N. Nuclear magnetic resonance (NMR)-based metabolomics for cancer research. NMR Biomed 2019;32:e3916. [PMID: 29733484 DOI: 10.1002/nbm.3916] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
24 Yusof HM, Ab-Rahim S, Wan Ngah WZ, Nathan S, A Jamal AR, Mazlan M. Metabolomic characterization of colorectal cancer cell lines highlighting stage-specific alterations during cancer progression. Bioimpacts 2021;11:147-56. [PMID: 33842285 DOI: 10.34172/bi.2021.22] [Reference Citation Analysis]
25 Graça G, Lau CE, Gonçalves LG. Exploring Cancer Metabolism: Applications of Metabolomics and Metabolic Phenotyping in Cancer Research and Diagnostics. Adv Exp Med Biol 2020;1219:367-85. [PMID: 32130709 DOI: 10.1007/978-3-030-34025-4_19] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
26 Cubiella J, Clos-Garcia M, Alonso C, Martinez-Arranz I, Perez-Cormenzana M, Barrenetxea Z, Berganza J, Rodríguez-Llopis I, D'Amato M, Bujanda L, Diaz-Ondina M, Falcón-Pérez JM. Targeted UPLC-MS Metabolic Analysis of Human Faeces Reveals Novel Low-Invasive Candidate Markers for Colorectal Cancer. Cancers (Basel) 2018;10:E300. [PMID: 30200467 DOI: 10.3390/cancers10090300] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
27 Yan S, Huang J, Chen Z, Jiang Z, Li X, Chen Z. Metabolomics in gut microbiota: applications and challenges. Science Bulletin 2016;61:1151-3. [DOI: 10.1007/s11434-016-1142-7] [Cited by in Crossref: 19] [Cited by in F6Publishing: 8] [Article Influence: 3.8] [Reference Citation Analysis]
28 Clos-Garcia M, Garcia K, Alonso C, Iruarrizaga-Lejarreta M, D'Amato M, Crespo A, Iglesias A, Cubiella J, Bujanda L, Falcón-Pérez JM. Integrative Analysis of Fecal Metagenomics and Metabolomics in Colorectal Cancer. Cancers (Basel) 2020;12:E1142. [PMID: 32370168 DOI: 10.3390/cancers12051142] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 7.0] [Reference Citation Analysis]
29 Armitage EG, Ciborowski M. Applications of Metabolomics in Cancer Studies. Adv Exp Med Biol 2017;965:209-34. [PMID: 28132182 DOI: 10.1007/978-3-319-47656-8_9] [Cited by in Crossref: 39] [Cited by in F6Publishing: 35] [Article Influence: 9.8] [Reference Citation Analysis]
30 Wang Z, Lin Y, Liang J, Huang Y, Ma C, Liu X, Yang J. NMR-based metabolomic techniques identify potential urinary biomarkers for early colorectal cancer detection. Oncotarget. 2017;8:105819-105831. [PMID: 29285295 DOI: 10.18632/oncotarget.22402] [Cited by in Crossref: 28] [Cited by in F6Publishing: 25] [Article Influence: 7.0] [Reference Citation Analysis]
31 Tarashi S, Siadat SD, Ahmadi Badi S, Zali M, Biassoni R, Ponzoni M, Moshiri A. Gut Bacteria and their Metabolites: Which One Is the Defendant for Colorectal Cancer? Microorganisms 2019;7:E561. [PMID: 31766208 DOI: 10.3390/microorganisms7110561] [Cited by in Crossref: 11] [Cited by in F6Publishing: 4] [Article Influence: 5.5] [Reference Citation Analysis]
32 Wishart DS. Metabolomics for Investigating Physiological and Pathophysiological Processes. Physiol Rev 2019;99:1819-75. [PMID: 31434538 DOI: 10.1152/physrev.00035.2018] [Cited by in Crossref: 98] [Cited by in F6Publishing: 95] [Article Influence: 49.0] [Reference Citation Analysis]
33 Wu J, Wu M, Wu Q. Identification of potential metabolite markers for colon cancer and rectal cancer using serum metabolomics. J Clin Lab Anal 2020;34:e23333. [PMID: 32281150 DOI: 10.1002/jcla.23333] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
34 Therdtatha P, Song Y, Tanaka M, Mariyatun M, Almunifah M, Manurung NEP, Indriarsih S, Lu Y, Nagata K, Fukami K, Ikeda T, Lee YK, Rahayu ES, Nakayama J. Gut Microbiome of Indonesian Adults Associated with Obesity and Type 2 Diabetes: A Cross-Sectional Study in an Asian City, Yogyakarta. Microorganisms 2021;9:897. [PMID: 33922321 DOI: 10.3390/microorganisms9050897] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
35 Pereira Braga C, Adamec J. Metabolome Analysis. Encyclopedia of Bioinformatics and Computational Biology. Elsevier; 2019. pp. 463-75. [DOI: 10.1016/b978-0-12-809633-8.20134-9] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
36 da Silva Duarte V, Dos Santos Cruz BC, Tarrah A, Sousa Dias R, de Paula Dias Moreira L, Lemos Junior WJF, Fidélis Silva LC, Rocha Santana G, Licursi de Oliveira L, Gouveia Peluzio MDC, Mantovani HC, Corich V, Giacomini A, de Paula SO. Chemoprevention of DMH-Induced Early Colon Carcinogenesis in Male BALB/c Mice by Administration of Lactobacillus Paracasei DTA81. Microorganisms 2020;8:E1994. [PMID: 33327620 DOI: 10.3390/microorganisms8121994] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
37 Yusof HM, Ab-Rahim S, Suddin LS, Saman MSA, Mazlan M. Metabolomics Profiling on Different Stages of Colorectal Cancer: A Systematic Review. Malays J Med Sci 2018;25:16-34. [PMID: 30914860 DOI: 10.21315/mjms2018.25.5.3] [Cited by in Crossref: 5] [Cited by in F6Publishing: 8] [Article Influence: 1.7] [Reference Citation Analysis]
38 Mackner LM, Hatzakis E, Allen JM, Davies RH, Kim SC, Maltz RM, Bailey MT. Fecal microbiota and metabolites are distinct in a pilot study of pediatric Crohn's disease patients with higher levels of perceived stress. Psychoneuroendocrinology 2020;111:104469. [PMID: 31654986 DOI: 10.1016/j.psyneuen.2019.104469] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
39 Vernia F, Valvano M, Fabiani S, Stefanelli G, Longo S, Viscido A, Latella G. Are Volatile Organic Compounds Accurate Markers in the Assessment of Colorectal Cancer and Inflammatory Bowel Diseases? A Review. Cancers (Basel) 2021;13:2361. [PMID: 34068419 DOI: 10.3390/cancers13102361] [Reference Citation Analysis]
40 Sahdev AK, Raj V, Singh AK, Rai A, Keshari AK, De A, Samanta A, Kumar U, Rawat A, Kumar D, Nath S, Prakash A, Saha S. Ameliorative effects of pyrazinoic acid against oxidative and metabolic stress manifested in rats with dimethylhydrazine induced colonic carcinoma. Cancer Biol Ther 2017;18:304-13. [PMID: 28358223 DOI: 10.1080/15384047.2017.1310341] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 3.0] [Reference Citation Analysis]
41 Hernandez-Baixauli J, Quesada-Vázquez S, Mariné-Casadó R, Gil Cardoso K, Caimari A, Del Bas JM, Escoté X, Baselga-Escudero L. Detection of Early Disease Risk Factors Associated with Metabolic Syndrome: A New Era with the NMR Metabolomics Assessment. Nutrients 2020;12:E806. [PMID: 32197513 DOI: 10.3390/nu12030806] [Cited by in Crossref: 9] [Cited by in F6Publishing: 6] [Article Influence: 9.0] [Reference Citation Analysis]
42 Chetwynd AJ, Ogilvie LA, Nzakizwanayo J, Pazdirek F, Hoch J, Dedi C, Gilbert D, Abdul-Sada A, Jones BV, Hill EM. The potential of nanoflow liquid chromatography-nano electrospray ionisation-mass spectrometry for global profiling the faecal metabolome. J Chromatogr A 2019;1600:127-36. [PMID: 31047664 DOI: 10.1016/j.chroma.2019.04.028] [Cited by in Crossref: 10] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
43 Jia H, Shen X, Guan Y, Xu M, Tu J, Mo M, Xie L, Yuan J, Zhang Z, Cai S, Zhu J, Zhu Z. Predicting the pathological response to neoadjuvant chemoradiation using untargeted metabolomics in locally advanced rectal cancer. Radiother Oncol 2018;128:548-56. [PMID: 30041962 DOI: 10.1016/j.radonc.2018.06.022] [Cited by in Crossref: 19] [Cited by in F6Publishing: 19] [Article Influence: 6.3] [Reference Citation Analysis]
44 Liang JH, Lin Y, Ouyang T, Tang W, Huang Y, Ye W, Zhao JY, Wang ZN, Ma CC. Nuclear magnetic resonance-based metabolomics and metabolic pathway networks from patient-matched esophageal carcinoma, adjacent noncancerous tissues and urine. World J Gastroenterol 2019; 25(25): 3218-3230 [PMID: 31333313 DOI: 10.3748/wjg.v25.i25.3218] [Cited by in CrossRef: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
45 Jakobsen LM, Yde CC, Van Hecke T, Jessen R, Young JF, De Smet S, Bertram HC. Impact of red meat consumption on the metabolome of rats. Mol Nutr Food Res 2017;61. [PMID: 27734579 DOI: 10.1002/mnfr.201600387] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 2.6] [Reference Citation Analysis]
46 Veziant J, Villéger R, Barnich N, Bonnet M. Gut Microbiota as Potential Biomarker and/or Therapeutic Target to Improve the Management of Cancer: Focus on Colibactin-Producing Escherichia coli in Colorectal Cancer. Cancers (Basel) 2021;13:2215. [PMID: 34063108 DOI: 10.3390/cancers13092215] [Reference Citation Analysis]
47 Nagana Gowda GA, Raftery D. Recent Advances in NMR-Based Metabolomics. Anal Chem 2017;89:490-510. [PMID: 28105846 DOI: 10.1021/acs.analchem.6b04420] [Cited by in Crossref: 95] [Cited by in F6Publishing: 75] [Article Influence: 19.0] [Reference Citation Analysis]
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49 Cui M, Trimigno A, Aru V, Khakimov B, Engelsen SB. Human Faecal 1 H NMR Metabolomics: Evaluation of Solvent and Sample Processing on Coverage and Reproducibility of Signature Metabolites. Anal Chem 2020;92:9546-55. [DOI: 10.1021/acs.analchem.0c00606] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
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52 Li J, Li J, Lyu N, Ma Y, Liu F, Feng Y, Yao L, Hou Z, Song X, Zhao H, Li X, Wang Y, Xiao C, Zhu B. Composition of fecal microbiota in low-set rectal cancer patients treated with FOLFOX. Ther Adv Chronic Dis 2020;11:2040622320904293. [PMID: 32153743 DOI: 10.1177/2040622320904293] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
53 Zhou CB, Fang JY. The regulation of host cellular and gut microbial metabolism in the development and prevention of colorectal cancer. Crit Rev Microbiol 2018;44:436-54. [PMID: 29359994 DOI: 10.1080/1040841X.2018.1425671] [Cited by in Crossref: 9] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
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