Skip to main content
Top
Published in: BMC Gastroenterology 1/2023

Open Access 01-12-2023 | Gastric Cancer | Research

A systems biology approach to pathogenesis of gastric cancer: gene network modeling and pathway analysis

Authors: Negar Mottaghi-Dastjerdi, Abozar Ghorbani, Hamed Montazeri, Pietro Hiram Guzzi

Published in: BMC Gastroenterology | Issue 1/2023

Login to get access

Abstract

Background

Gastric cancer (GC) ranks among the most common malignancies worldwide. This study aimed to find critical genes/pathways in GC pathogenesis.

Methods

Gene interactions were analyzed, and the protein–protein interaction network was drawn. Then enrichment analysis of the hub genes was performed and network cluster analysis and promoter analysis of the hub genes were done. Age/sex analysis was done on the identified genes.

Results

Eleven hub genes in GC were identified in the current study (ATP5A1, ATP5B, ATP5D, MT-ATP8, COX7A2, COX6C, ND4, ND6, NDUFS3, RPL8, and RPS16), mostly involved in mitochondrial functions. There was no report on the ATP5D, ND6, NDUFS3, RPL8, and RPS16 in GC. Our results showed that the most affected processes in GC are the metabolic processes, and the oxidative phosphorylation pathway was considerably enriched which showed the significance of mitochondria in GC pathogenesis. Most of the affected pathways in GC were also involved in neurodegenerative diseases. Promoter analysis showed that negative regulation of signal transduction might play an important role in GC pathogenesis. In the analysis of the basal expression pattern of the selected genes whose basal expression presented a change during the age, we found that a change in age may be an indicator of changes in disease insurgence and/or progression at different ages.

Conclusions

These results might open up new insights into GC pathogenesis. The identified genes might be novel diagnostic/prognostic biomarkers or potential therapeutic targets for GC. This work, being based on bioinformatics analysis act as a hypothesis generator that requires further clinical validation.
Literature
1.
go back to reference Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021;71(3):209–49.PubMedCrossRef Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021;71(3):209–49.PubMedCrossRef
2.
go back to reference Smyth EC, Nilsson M, Grabsch HI, van Grieken NC, Lordick F. Gastric cancer. Lancet. 2020;396(10251):635–48.PubMedCrossRef Smyth EC, Nilsson M, Grabsch HI, van Grieken NC, Lordick F. Gastric cancer. Lancet. 2020;396(10251):635–48.PubMedCrossRef
3.
go back to reference Vogelstein B, Kinzler KW. Cancer genes and the pathways they control. Nat Med. 2004;10(8):789–99.PubMedCrossRef Vogelstein B, Kinzler KW. Cancer genes and the pathways they control. Nat Med. 2004;10(8):789–99.PubMedCrossRef
4.
go back to reference Boussioutas A, Li H, Liu J, Waring P, Lade S, Holloway AJ, Taupin D, Gorringe K, Haviv I, Desmond PV. Distinctive patterns of gene expression in premalignant gastric mucosa and gastric cancer. Can Res. 2003;63(10):2569–77. Boussioutas A, Li H, Liu J, Waring P, Lade S, Holloway AJ, Taupin D, Gorringe K, Haviv I, Desmond PV. Distinctive patterns of gene expression in premalignant gastric mucosa and gastric cancer. Can Res. 2003;63(10):2569–77.
5.
go back to reference Nagini S. Carcinoma of the stomach: a review of epidemiology, pathogenesis, molecular genetics and chemoprevention. World J Gastrointest Oncol. 2012;4(7):156.PubMedPubMedCentralCrossRef Nagini S. Carcinoma of the stomach: a review of epidemiology, pathogenesis, molecular genetics and chemoprevention. World J Gastrointest Oncol. 2012;4(7):156.PubMedPubMedCentralCrossRef
6.
go back to reference Kulasingam V, Diamandis EP. Strategies for discovering novel cancer biomarkers through utilization of emerging technologies. Nat Clin Pract Oncol. 2008;5(10):588–99.PubMedCrossRef Kulasingam V, Diamandis EP. Strategies for discovering novel cancer biomarkers through utilization of emerging technologies. Nat Clin Pract Oncol. 2008;5(10):588–99.PubMedCrossRef
7.
go back to reference Tavassoly I, Hu Y, Zhao S, Mariottini C, Boran A, Chen Y, Li L, Tolentino RE, Jayaraman G, Goldfarb J, et al. Genomic signatures defining responsiveness to allopurinol and combination therapy for lung cancer identified by systems therapeutics analyses. Mol Oncol. 2019;13(8):1725–43.PubMedPubMedCentralCrossRef Tavassoly I, Hu Y, Zhao S, Mariottini C, Boran A, Chen Y, Li L, Tolentino RE, Jayaraman G, Goldfarb J, et al. Genomic signatures defining responsiveness to allopurinol and combination therapy for lung cancer identified by systems therapeutics analyses. Mol Oncol. 2019;13(8):1725–43.PubMedPubMedCentralCrossRef
9.
go back to reference Dorvash M, Farahmandnia M, Tavassoly I. A Systems Biology Roadmap to Decode mTOR Control System in Cancer. Interdiscip Sci. 2020;12(1):1–11.PubMedCrossRef Dorvash M, Farahmandnia M, Tavassoly I. A Systems Biology Roadmap to Decode mTOR Control System in Cancer. Interdiscip Sci. 2020;12(1):1–11.PubMedCrossRef
10.
go back to reference Tavassoly I, Parmar J, Shajahan-Haq A, Clarke R, Baumann W, Tyson J. Dynamic Modeling of the Interaction Between Autophagy and Apoptosis in Mammalian Cells. CPT Pharmacometrics Syst Pharmacol. 2015;4(4):263–72.PubMedPubMedCentralCrossRef Tavassoly I, Parmar J, Shajahan-Haq A, Clarke R, Baumann W, Tyson J. Dynamic Modeling of the Interaction Between Autophagy and Apoptosis in Mammalian Cells. CPT Pharmacometrics Syst Pharmacol. 2015;4(4):263–72.PubMedPubMedCentralCrossRef
11.
12.
go back to reference Mottaghi-Dastjerdi N, Soltany-Rezaee-Rad M, Sepehrizadeh Z, Roshandel G, Ebrahimifard F, Setayesh N. Genome expression analysis by suppression subtractive hybridization identified overexpression of Humanin, a target gene in gastric cancer chemoresistance. DARU J Pharm Sci. 2014;22(1):1–7.CrossRef Mottaghi-Dastjerdi N, Soltany-Rezaee-Rad M, Sepehrizadeh Z, Roshandel G, Ebrahimifard F, Setayesh N. Genome expression analysis by suppression subtractive hybridization identified overexpression of Humanin, a target gene in gastric cancer chemoresistance. DARU J Pharm Sci. 2014;22(1):1–7.CrossRef
13.
go back to reference Mottaghi-Dastjerdi N, Soltany-Rezaee-Rad M, Sepehrizadeh Z, Roshandel G, Ebrahimifard F, Setayesh N. Identification of novel genes involved in gastric carcinogenesis by suppression subtractive hybridization. Hum Exp Toxicol. 2015;34(1):3–11.PubMedCrossRef Mottaghi-Dastjerdi N, Soltany-Rezaee-Rad M, Sepehrizadeh Z, Roshandel G, Ebrahimifard F, Setayesh N. Identification of novel genes involved in gastric carcinogenesis by suppression subtractive hybridization. Hum Exp Toxicol. 2015;34(1):3–11.PubMedCrossRef
14.
go back to reference Mottaghi-Dastjerdi N, Soltany-Rezaee-Rad M, Sepehrizadeh Z, Roshandel G, Ebrahimifard F, Setayesh N. Gene expression profiling revealed overexpression of vesicle amine transport protein-1 (VAT-1) as a potential oncogene in gastric cancer. 2016. Mottaghi-Dastjerdi N, Soltany-Rezaee-Rad M, Sepehrizadeh Z, Roshandel G, Ebrahimifard F, Setayesh N. Gene expression profiling revealed overexpression of vesicle amine transport protein-1 (VAT-1) as a potential oncogene in gastric cancer. 2016.
15.
go back to reference Szklarczyk D, Franceschini A, Wyder S, Forslund K, Heller D, Huerta-Cepas J, Simonovic M, Roth A, Santos A, Tsafou KP. STRING v10: protein–protein interaction networks, integrated over the tree of life. Nucleic Acids Res. 2015;43(D1):D447–52.PubMedCrossRef Szklarczyk D, Franceschini A, Wyder S, Forslund K, Heller D, Huerta-Cepas J, Simonovic M, Roth A, Santos A, Tsafou KP. STRING v10: protein–protein interaction networks, integrated over the tree of life. Nucleic Acids Res. 2015;43(D1):D447–52.PubMedCrossRef
16.
go back to reference Smoot ME, Ono K, Ruscheinski J, Wang P-L, Ideker T. Cytoscape 2.8: new features for data integration and network visualization. Bioinformatics. 2010;27(3):431–2.PubMedPubMedCentralCrossRef Smoot ME, Ono K, Ruscheinski J, Wang P-L, Ideker T. Cytoscape 2.8: new features for data integration and network visualization. Bioinformatics. 2010;27(3):431–2.PubMedPubMedCentralCrossRef
17.
go back to reference Li M, Li D, Tang Y, Wu F, Wang J. CytoCluster: a cytoscape plugin for cluster analysis and visualization of biological networks. Int J Mol Sci. 2017;18(9):1880.PubMedPubMedCentralCrossRef Li M, Li D, Tang Y, Wu F, Wang J. CytoCluster: a cytoscape plugin for cluster analysis and visualization of biological networks. Int J Mol Sci. 2017;18(9):1880.PubMedPubMedCentralCrossRef
18.
go back to reference Bailey TL, Boden M, Buske FA, Frith M, Grant CE, Clementi L, Ren J, Li WW, Noble WS. MEME SUITE: tools for motif discovery and searching. Nucleic Acids Res. 2009;37(Web Server issue):W202-208.PubMedPubMedCentralCrossRef Bailey TL, Boden M, Buske FA, Frith M, Grant CE, Clementi L, Ren J, Li WW, Noble WS. MEME SUITE: tools for motif discovery and searching. Nucleic Acids Res. 2009;37(Web Server issue):W202-208.PubMedPubMedCentralCrossRef
20.
21.
go back to reference Lonsdale J, Thomas J, Salvatore M, Phillips R, Lo E, Shad S, Hasz R, Walters G, Garcia F, Young N. The genotype-tissue expression (GTEx) project. Nat Genet. 2013;45(6):580–5.CrossRef Lonsdale J, Thomas J, Salvatore M, Phillips R, Lo E, Shad S, Hasz R, Walters G, Garcia F, Young N. The genotype-tissue expression (GTEx) project. Nat Genet. 2013;45(6):580–5.CrossRef
22.
go back to reference Kwon CH, Park HJ, Choi YR, Kim A, Kim HW, Choi JH, Hwang CS, Lee SJ, Choi CI, Jeon TY. PSMB8 and PBK as potential gastric cancer subtype-specific biomarkers associated with prognosis. Oncotarget. 2016;7(16):21454.PubMedPubMedCentralCrossRef Kwon CH, Park HJ, Choi YR, Kim A, Kim HW, Choi JH, Hwang CS, Lee SJ, Choi CI, Jeon TY. PSMB8 and PBK as potential gastric cancer subtype-specific biomarkers associated with prognosis. Oncotarget. 2016;7(16):21454.PubMedPubMedCentralCrossRef
24.
go back to reference Consortium GO. The gene ontology (GO) project in 2006. Nucleic Acids Res. 2006;34(suppl_1):D322–6.CrossRef Consortium GO. The gene ontology (GO) project in 2006. Nucleic Acids Res. 2006;34(suppl_1):D322–6.CrossRef
25.
go back to reference Tavassoly I, Goldfarb J, Iyengar R. Systems biology primer: the basic methods and approaches. Essays Biochem. 2018;62(4):487–500.PubMedCrossRef Tavassoly I, Goldfarb J, Iyengar R. Systems biology primer: the basic methods and approaches. Essays Biochem. 2018;62(4):487–500.PubMedCrossRef
27.
go back to reference Ansari A, Rahman MS, Saha SK, Saikot FK, Deep A, Kim K-H. Function of the SIRT3 mitochondrial deacetylase in cellular physiology, cancer, and neurodegenerative disease. Aging Cell. 2017;16(1):4–16.PubMedCrossRef Ansari A, Rahman MS, Saha SK, Saikot FK, Deep A, Kim K-H. Function of the SIRT3 mitochondrial deacetylase in cellular physiology, cancer, and neurodegenerative disease. Aging Cell. 2017;16(1):4–16.PubMedCrossRef
28.
go back to reference Kinsella RJ, Kähäri A, Haider S, Zamora J, Proctor G, Spudich G, Almeida-King J, Staines D, Derwent P, Kerhornou A, et al. Ensembl BioMarts: a hub for data retrieval across taxonomic space. Database. 2011;2011:bar030.PubMedPubMedCentralCrossRef Kinsella RJ, Kähäri A, Haider S, Zamora J, Proctor G, Spudich G, Almeida-King J, Staines D, Derwent P, Kerhornou A, et al. Ensembl BioMarts: a hub for data retrieval across taxonomic space. Database. 2011;2011:bar030.PubMedPubMedCentralCrossRef
29.
go back to reference Chinnappan J, Ramu A, V VR, S AK. Integrative Bioinformatics approaches to therapeutic gene target selection in various cancers for Nitroglycerin. Sci Rep. 2021;11(1):22036.PubMedPubMedCentralCrossRef Chinnappan J, Ramu A, V VR, S AK. Integrative Bioinformatics approaches to therapeutic gene target selection in various cancers for Nitroglycerin. Sci Rep. 2021;11(1):22036.PubMedPubMedCentralCrossRef
30.
go back to reference Solaini G, Sgarbi G, Baracca A. Oxidative phosphorylation in cancer cells. Biochim Biophys Acta. 2011;1807(6):534–42.PubMedCrossRef Solaini G, Sgarbi G, Baracca A. Oxidative phosphorylation in cancer cells. Biochim Biophys Acta. 2011;1807(6):534–42.PubMedCrossRef
32.
go back to reference Weinberg F, Hamanaka R, Wheaton WW, Weinberg S, Joseph J, Lopez M, Kalyanaraman B, Mutlu GM, Budinger GS, Chandel NS. Mitochondrial metabolism and ROS generation are essential for Kras-mediated tumorigenicity. Proc Natl Acad Sci. 2010;107(19):8788–93.PubMedPubMedCentralCrossRef Weinberg F, Hamanaka R, Wheaton WW, Weinberg S, Joseph J, Lopez M, Kalyanaraman B, Mutlu GM, Budinger GS, Chandel NS. Mitochondrial metabolism and ROS generation are essential for Kras-mediated tumorigenicity. Proc Natl Acad Sci. 2010;107(19):8788–93.PubMedPubMedCentralCrossRef
35.
go back to reference Qi B, Han M. Microbial Siderophore Enterobactin Promotes Mitochondrial Iron Uptake and Development of the Host via Interaction with ATP Synthase. Cell. 2018;175(2):571-582.e511.PubMedCrossRef Qi B, Han M. Microbial Siderophore Enterobactin Promotes Mitochondrial Iron Uptake and Development of the Host via Interaction with ATP Synthase. Cell. 2018;175(2):571-582.e511.PubMedCrossRef
36.
go back to reference Liu F, Zhang Y, Men T, Jiang X, Yang C, Li H, Wei X, Yan D, Feng G, Yang J. Quantitative proteomic analysis of gastric cancer tissue reveals novel proteins in platelet-derived growth factor b signaling pathway. Oncotarget. 2017;8(13):22059.PubMedPubMedCentralCrossRef Liu F, Zhang Y, Men T, Jiang X, Yang C, Li H, Wei X, Yan D, Feng G, Yang J. Quantitative proteomic analysis of gastric cancer tissue reveals novel proteins in platelet-derived growth factor b signaling pathway. Oncotarget. 2017;8(13):22059.PubMedPubMedCentralCrossRef
37.
go back to reference Wang X, Chang X, He C, Fan Z, Yu Z, Yu B, Wu X, Hou J, Li J, Su L, et al. ATP5B promotes the metastasis and growth of gastric cancer by activating the FAK/AKT/MMP2 pathway. FASEB J. 2021;35(4):e20649.PubMedCrossRef Wang X, Chang X, He C, Fan Z, Yu Z, Yu B, Wu X, Hou J, Li J, Su L, et al. ATP5B promotes the metastasis and growth of gastric cancer by activating the FAK/AKT/MMP2 pathway. FASEB J. 2021;35(4):e20649.PubMedCrossRef
38.
go back to reference Dautant A, Meier T, Hahn A, Tribouillard-Tanvier D, Di Rago J-P, Kucharczyk R. ATP synthase diseases of mitochondrial genetic origin. Front Physiol. 2018;9:329.PubMedPubMedCentralCrossRef Dautant A, Meier T, Hahn A, Tribouillard-Tanvier D, Di Rago J-P, Kucharczyk R. ATP synthase diseases of mitochondrial genetic origin. Front Physiol. 2018;9:329.PubMedPubMedCentralCrossRef
39.
go back to reference Cavalcante GC, Marinho ANR, Anaissi AK, Vinasco-Sandoval T, Ribeiro-dos-Santos A, Vidal AF, de Araújo GS, Demachki S, Ribeiro-dos-Santos Â. Whole mitochondrial genome sequencing highlights mitochondrial impact in gastric cancer. Sci Rep. 2019;9(1):15716.PubMedPubMedCentralCrossRef Cavalcante GC, Marinho ANR, Anaissi AK, Vinasco-Sandoval T, Ribeiro-dos-Santos A, Vidal AF, de Araújo GS, Demachki S, Ribeiro-dos-Santos Â. Whole mitochondrial genome sequencing highlights mitochondrial impact in gastric cancer. Sci Rep. 2019;9(1):15716.PubMedPubMedCentralCrossRef
40.
go back to reference Wei J, Xie Q, Liu X, Wan C, Wu W, Fang K, Yao Y, Cheng P, Deng D, Liu Z. Identification the prognostic value of glutathione peroxidases expression levels in acute myeloid leukemia. Ann Transl Med. 2020;8(11):678.PubMedPubMedCentralCrossRef Wei J, Xie Q, Liu X, Wan C, Wu W, Fang K, Yao Y, Cheng P, Deng D, Liu Z. Identification the prognostic value of glutathione peroxidases expression levels in acute myeloid leukemia. Ann Transl Med. 2020;8(11):678.PubMedPubMedCentralCrossRef
41.
go back to reference Yuan Y, Wang W, Li H, Yu Y, Tao J, Huang S, Zeng Z. Nonsense and missense mutation of mitochondrial ND6 gene promotes cell migration and invasion in human lung adenocarcinoma. BMC Cancer. 2015;15(1):1–10.CrossRef Yuan Y, Wang W, Li H, Yu Y, Tao J, Huang S, Zeng Z. Nonsense and missense mutation of mitochondrial ND6 gene promotes cell migration and invasion in human lung adenocarcinoma. BMC Cancer. 2015;15(1):1–10.CrossRef
42.
go back to reference Pan J, Xiang Z, Dai Q, Wang Z, Liu B, Li C. Prediction of platinum-resistance patients of gastric cancer using bioinformatics. J Cell Biochem. 2019;120(8):13478–86.PubMedCrossRef Pan J, Xiang Z, Dai Q, Wang Z, Liu B, Li C. Prediction of platinum-resistance patients of gastric cancer using bioinformatics. J Cell Biochem. 2019;120(8):13478–86.PubMedCrossRef
43.
go back to reference Lu X, Long H. Nicotinamide N-methyltransferase as a potential marker for cancer. Neoplasma. 2018;65(5):656–63.PubMedCrossRef Lu X, Long H. Nicotinamide N-methyltransferase as a potential marker for cancer. Neoplasma. 2018;65(5):656–63.PubMedCrossRef
44.
go back to reference Peng WF, Bai F, Shao K, Shen LS, Li HH, Huang S. The key genes underlying pathophysiology association between the type 2-diabetic and colorectal cancer. J Cell Physiol. 2018;233(11):8551–7.PubMedCrossRef Peng WF, Bai F, Shao K, Shen LS, Li HH, Huang S. The key genes underlying pathophysiology association between the type 2-diabetic and colorectal cancer. J Cell Physiol. 2018;233(11):8551–7.PubMedCrossRef
45.
go back to reference Balluff B, Elsner M, Kowarsch A, Rauser S, Meding S, Schuhmacher C, Feith M, Herrmann K, Röcken C, Schmid RM, et al. Classification of HER2/neu Status in Gastric Cancer Using a Breast-Cancer Derived Proteome Classifier. J Proteome Res. 2010;9(12):6317–22.PubMedCrossRef Balluff B, Elsner M, Kowarsch A, Rauser S, Meding S, Schuhmacher C, Feith M, Herrmann K, Röcken C, Schmid RM, et al. Classification of HER2/neu Status in Gastric Cancer Using a Breast-Cancer Derived Proteome Classifier. J Proteome Res. 2010;9(12):6317–22.PubMedCrossRef
46.
go back to reference Elsner M, Rauser S, Maier S, Schöne C, Balluff B, Meding S, Jung G, Nipp M, Sarioglu H, Maccarrone G, et al. MALDI imaging mass spectrometry reveals COX7A2, TAGLN2 and S100–A10 as novel prognostic markers in Barrett’s adenocarcinoma. J Proteomics. 2012;75(15):4693–704. Elsner M, Rauser S, Maier S, Schöne C, Balluff B, Meding S, Jung G, Nipp M, Sarioglu H, Maccarrone G, et al. MALDI imaging mass spectrometry reveals COX7A2, TAGLN2 and S100–A10 as novel prognostic markers in Barrett’s adenocarcinoma. J Proteomics. 2012;75(15):4693–704.
47.
go back to reference Tian B-X, Sun W, Wang S-H, Liu P-J, Wang Y-C. Differential expression and clinical significance of COX6C in human diseases. Am J Transl Res. 2021;13(1):1.PubMedPubMedCentral Tian B-X, Sun W, Wang S-H, Liu P-J, Wang Y-C. Differential expression and clinical significance of COX6C in human diseases. Am J Transl Res. 2021;13(1):1.PubMedPubMedCentral
48.
go back to reference Battelli MG, Polito L, Bortolotti M, Bolognesi A. Xanthine oxidoreductase in cancer: more than a differentiation marker. Cancer Med. 2016;5(3):546–57.PubMedCrossRef Battelli MG, Polito L, Bortolotti M, Bolognesi A. Xanthine oxidoreductase in cancer: more than a differentiation marker. Cancer Med. 2016;5(3):546–57.PubMedCrossRef
49.
go back to reference Su F, Zhou FF, Zhang T, Wang DW, Zhao D, Hou XM, Feng MH. Quantitative proteomics identified 3 oxidative phosphorylation genes with clinical prognostic significance in gastric cancer. J Cell Mol Med. 2020;24(18):10842–54.PubMedPubMedCentralCrossRef Su F, Zhou FF, Zhang T, Wang DW, Zhao D, Hou XM, Feng MH. Quantitative proteomics identified 3 oxidative phosphorylation genes with clinical prognostic significance in gastric cancer. J Cell Mol Med. 2020;24(18):10842–54.PubMedPubMedCentralCrossRef
50.
go back to reference Miyake N, Yano S, Sakai C, Hatakeyama H, Matsushima Y, Shiina M, Watanabe Y, Bartley J, Abdenur JE, Wang RY. Mitochondrial complex III deficiency caused by a homozygous UQCRC2 mutation presenting with neonatal-onset recurrent metabolic decompensation. Hum Mutat. 2013;34(3):446–52.PubMedCrossRef Miyake N, Yano S, Sakai C, Hatakeyama H, Matsushima Y, Shiina M, Watanabe Y, Bartley J, Abdenur JE, Wang RY. Mitochondrial complex III deficiency caused by a homozygous UQCRC2 mutation presenting with neonatal-onset recurrent metabolic decompensation. Hum Mutat. 2013;34(3):446–52.PubMedCrossRef
51.
go back to reference Putignani L, Raffa S, Pescosolido R, Aimati L, Signore F, Torrisi MR, Grammatico P. Alteration of expression levels of the oxidative phosphorylation system (OXPHOS) in breast cancer cell mitochondria. Breast Cancer Res Treat. 2008;110(3):439–52.PubMedCrossRef Putignani L, Raffa S, Pescosolido R, Aimati L, Signore F, Torrisi MR, Grammatico P. Alteration of expression levels of the oxidative phosphorylation system (OXPHOS) in breast cancer cell mitochondria. Breast Cancer Res Treat. 2008;110(3):439–52.PubMedCrossRef
52.
go back to reference Bai YH, Zhan YB, Yu B, Wang WW, Wang L, Zhou JQ, Chen RK, Zhang FJ, Zhao XW, Duan WC. A novel tumor-suppressor, CDH18, inhibits glioma cell invasiveness via UQCRC2 and correlates with the prognosis of glioma patients. Cell Physiol Biochem. 2018;48(4):1755–70.PubMedCrossRef Bai YH, Zhan YB, Yu B, Wang WW, Wang L, Zhou JQ, Chen RK, Zhang FJ, Zhao XW, Duan WC. A novel tumor-suppressor, CDH18, inhibits glioma cell invasiveness via UQCRC2 and correlates with the prognosis of glioma patients. Cell Physiol Biochem. 2018;48(4):1755–70.PubMedCrossRef
53.
go back to reference Simonnet H, Alazard N, Pfeiffer K, Gallou C, Béroud C, Demont J, Bouvier R, Schägger H, Godinot C. Low mitochondrial respiratory chain content correlates with tumor aggressiveness in renal cell carcinoma. Carcinogenesis. 2002;23(5):759–68.PubMedCrossRef Simonnet H, Alazard N, Pfeiffer K, Gallou C, Béroud C, Demont J, Bouvier R, Schägger H, Godinot C. Low mitochondrial respiratory chain content correlates with tumor aggressiveness in renal cell carcinoma. Carcinogenesis. 2002;23(5):759–68.PubMedCrossRef
54.
go back to reference Cuezva JM, Sánchez-Aragó M, Sala S, Blanco-Rivero A, Ortega ÁD. A message emerging from development: the repression of mitochondrial β-F1-ATPase expression in cancer. J Bioenerg Biomembr. 2007;39(3):259–65.PubMedCrossRef Cuezva JM, Sánchez-Aragó M, Sala S, Blanco-Rivero A, Ortega ÁD. A message emerging from development: the repression of mitochondrial β-F1-ATPase expression in cancer. J Bioenerg Biomembr. 2007;39(3):259–65.PubMedCrossRef
56.
go back to reference Feichtinger RG, Neureiter D, Skaria T, Wessler S, Cover TL, Mayr JA, Zimmermann FA, Posselt G, Sperl W, Kofler B. Oxidative Phosphorylation System in Gastric Carcinomas and Gastritis. Oxid Med Cell Longev. 2017;2017:1320241.PubMedPubMedCentralCrossRef Feichtinger RG, Neureiter D, Skaria T, Wessler S, Cover TL, Mayr JA, Zimmermann FA, Posselt G, Sperl W, Kofler B. Oxidative Phosphorylation System in Gastric Carcinomas and Gastritis. Oxid Med Cell Longev. 2017;2017:1320241.PubMedPubMedCentralCrossRef
57.
go back to reference Ishikawa K, Takenaga K, Akimoto M, Koshikawa N, Yamaguchi A, Imanishi H, Nakada K, Honma Y, Hayashi J-I. ROS-generating mitochondrial DNA mutations can regulate tumor cell metastasis. Science. 2008;320(5876):661–4.PubMedCrossRef Ishikawa K, Takenaga K, Akimoto M, Koshikawa N, Yamaguchi A, Imanishi H, Nakada K, Honma Y, Hayashi J-I. ROS-generating mitochondrial DNA mutations can regulate tumor cell metastasis. Science. 2008;320(5876):661–4.PubMedCrossRef
58.
go back to reference Koshikawa N, Akimoto M, Hayashi J-I, Nagase H, Takenaga K. Association of predicted pathogenic mutations in mitochondrial ND genes with distant metastasis in NSCLC and colon cancer. Sci Rep. 2017;7(1):1–11.CrossRef Koshikawa N, Akimoto M, Hayashi J-I, Nagase H, Takenaga K. Association of predicted pathogenic mutations in mitochondrial ND genes with distant metastasis in NSCLC and colon cancer. Sci Rep. 2017;7(1):1–11.CrossRef
59.
go back to reference Imanishi H, Hattori K, Wada R, Ishikawa K, Fukuda S, Takenaga K, Nakada K, Hayashi J-I. Mitochondrial DNA mutations regulate metastasis of human breast cancer cells. PLoS One. 2011;6(8):e23401.PubMedPubMedCentralCrossRef Imanishi H, Hattori K, Wada R, Ishikawa K, Fukuda S, Takenaga K, Nakada K, Hayashi J-I. Mitochondrial DNA mutations regulate metastasis of human breast cancer cells. PLoS One. 2011;6(8):e23401.PubMedPubMedCentralCrossRef
60.
go back to reference Brinker AE, Vivian CJ, Koestler DC, Tsue TT, Jensen RA, Welch DR. Mitochondrial Haplotype Alters Mammary Cancer Tumorigenicity and Metastasis in an Oncogenic Driver-Dependent MannermtDNA-Oncogene Cross-Talk. Can Res. 2017;77(24):6941–9.CrossRef Brinker AE, Vivian CJ, Koestler DC, Tsue TT, Jensen RA, Welch DR. Mitochondrial Haplotype Alters Mammary Cancer Tumorigenicity and Metastasis in an Oncogenic Driver-Dependent MannermtDNA-Oncogene Cross-Talk. Can Res. 2017;77(24):6941–9.CrossRef
63.
go back to reference Xiao S, Zhou L. Gastric cancer: metabolic and metabolomics perspectives. Int J Oncol. 2017;51(1):5–17.PubMedCrossRef Xiao S, Zhou L. Gastric cancer: metabolic and metabolomics perspectives. Int J Oncol. 2017;51(1):5–17.PubMedCrossRef
65.
go back to reference Zhang K, Wang J, Zhu Y, Liu X, Li J, Shi Z, Cao M, Li Y. Identification of Hub Genes Associated With the Development of Stomach Adenocarcinoma by Integrated Bioinformatics Analysis. Front Oncol. 2022;12:844990.PubMedPubMedCentralCrossRef Zhang K, Wang J, Zhu Y, Liu X, Li J, Shi Z, Cao M, Li Y. Identification of Hub Genes Associated With the Development of Stomach Adenocarcinoma by Integrated Bioinformatics Analysis. Front Oncol. 2022;12:844990.PubMedPubMedCentralCrossRef
66.
go back to reference Salarikia SR, Kashkooli M, Taghipour MJ, Malekpour M, Negahdaripour M. Identification of hub pathways and drug candidates in gastric cancer through systems biology. Sci Rep. 2022;12(1):1–15.CrossRef Salarikia SR, Kashkooli M, Taghipour MJ, Malekpour M, Negahdaripour M. Identification of hub pathways and drug candidates in gastric cancer through systems biology. Sci Rep. 2022;12(1):1–15.CrossRef
67.
go back to reference Anvar MS, Minuchehr Z, Shahlaei M, Kheitan S. Gastric cancer biomarkers; A systems biology approach. Biochemistry and biophysics reports. 2018;13:141–6.CrossRef Anvar MS, Minuchehr Z, Shahlaei M, Kheitan S. Gastric cancer biomarkers; A systems biology approach. Biochemistry and biophysics reports. 2018;13:141–6.CrossRef
68.
go back to reference Li S, Shao J, Lou G, Wu C, Liu Y, Zheng M. MiR-144-3p-mediated dysregulation of EIF4G2 contributes to the development of hepatocellular carcinoma through the ERK pathway. J Exp Clin Cancer Res. 2021;40(1):1–14. Li S, Shao J, Lou G, Wu C, Liu Y, Zheng M. MiR-144-3p-mediated dysregulation of EIF4G2 contributes to the development of hepatocellular carcinoma through the ERK pathway. J Exp Clin Cancer Res. 2021;40(1):1–14.
69.
go back to reference Shahbazian D, Roux PP, Mieulet V, Cohen MS, Raught B, Taunton J, Hershey JW, Blenis J, Pende M, Sonenberg N. The mTOR/PI3K and MAPK pathways converge on eIF4B to control its phosphorylation and activity. EMBO J. 2006;25(12):2781–91.PubMedPubMedCentralCrossRef Shahbazian D, Roux PP, Mieulet V, Cohen MS, Raught B, Taunton J, Hershey JW, Blenis J, Pende M, Sonenberg N. The mTOR/PI3K and MAPK pathways converge on eIF4B to control its phosphorylation and activity. EMBO J. 2006;25(12):2781–91.PubMedPubMedCentralCrossRef
70.
go back to reference Fu L, Wang Z, Jiang F, Wei G, Sun L, Guo C, Wu J, Zhu J. High Expression of EIF4G2 Mediated by the TUG1/Hsa-miR-26a-5p Axis Is Associated with Poor Prognosis and Immune Infiltration of Gastric Cancer. J Oncol. 2022;2022:9342283.PubMedPubMedCentralCrossRef Fu L, Wang Z, Jiang F, Wei G, Sun L, Guo C, Wu J, Zhu J. High Expression of EIF4G2 Mediated by the TUG1/Hsa-miR-26a-5p Axis Is Associated with Poor Prognosis and Immune Infiltration of Gastric Cancer. J Oncol. 2022;2022:9342283.PubMedPubMedCentralCrossRef
71.
go back to reference Tang Z, Kang B, Li C, Chen T, Zhang Z. GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis. Nucleic Acids Res. 2019;47(W1):W556-w560.PubMedPubMedCentralCrossRef Tang Z, Kang B, Li C, Chen T, Zhang Z. GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis. Nucleic Acids Res. 2019;47(W1):W556-w560.PubMedPubMedCentralCrossRef
Metadata
Title
A systems biology approach to pathogenesis of gastric cancer: gene network modeling and pathway analysis
Authors
Negar Mottaghi-Dastjerdi
Abozar Ghorbani
Hamed Montazeri
Pietro Hiram Guzzi
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Gastroenterology / Issue 1/2023
Electronic ISSN: 1471-230X
DOI
https://doi.org/10.1186/s12876-023-02891-4

Other articles of this Issue 1/2023

BMC Gastroenterology 1/2023 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.