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Comparison of mRNA and ncRNA expression profiles in colon cancer patients with system biology approach between 2020 and 2021
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Elian Ganji1    , Maliheh Entezari 2, Seyed Mohammad Poorhosseini3 |
1- MSc Student, Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
2- Farhikhtegan Medical Convergence sciences Research Center, Farhikhtegan Hospital Tehran Medical sciences, Islamic Azad University, Tehran, Iran , drmentezari@gmail.com
3- Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran |
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Abstract: (398 Views) |
Background: A group of cells that divide more than normal tissue is called a cancerous tumor. In most cases, colon cancer which are lumps of flesh originating from the inner lining of the colon staining from intestinal polyps. Elucidating the regulatory relationships between mRNA and lncRNA can contribute to the regulation pattern of gene expression in malignant colorectal cancer. In this study, the integration of weight gene co-expression network in malignant tumor was investigated by analyzing expression data from samples of normal and cancer patients.
Materials and methods: The data used in this article included lncRNA and mRNA exosomal sequences extracted from Exorbase and GEO database. The weighted gene co-expression network was used to group genes and find gene groups that have a significant correlation.
Results: In this study, the pathological importance of the groups was classified using the level of expression of the groups. Between the groups, the green group had the most correlation and significance, and for this reason, it is assumed that they have the top impact on the progression of cancer.
Conclusion: Considering the key genes HSPA1B, PPP2R3B and HSPA1A suggested in this study by comparing healthy and sick people and identifying the difference in gene expression profile, a suitable biomarker can be identified to detect people with colorectal cancer.
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| Keywords: Colorectal cancer, Gene expression, Gene regulation networks, System biology |
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Full-Text [PDF 1057 kb]
(198 Downloads)
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Semi-pilot: Basic |
Subject:
Genetic
Received: 2023/05/27 | Accepted: 2023/08/19 | Published: 2023/12/1
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1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2018;68394-424. [ DOI:10.3322/caac.21492] 2. Arnold M, Sierra MS, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global patterns and trends in colorectal cancer incidence and mortality. Gut 2017;66:683-91. [ DOI:10.1136/gutjnl-2015-310912] 3. Fitzmaurice C, Allen C, Barber RM, Barregard L, Bhutta ZA, Brenner H, et al. Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 32 cancer groups, 1990 to 2015: a systematic analysis for the global burden of disease study. JAMA Oncol 2017;3:524-48. [ DOI:10.1001/jamaoncol.2016.5688] 4. Dekker E, Tanis PJ, Vleugels JL, Kasi PM, Wallace M. Pure-AMC. Lancet 2019;394:1467-80. [ DOI:10.1016/S0140-6736(19)32319-0] 5. Keum N, Giovannucci E. Global burden of colorectal cancer: emerging trends, risk factors and prevention strategies. Nat Rev Gastroenterol Hepatol 2019;16:713-32. [ DOI:10.1038/s41575-019-0189-8] 6. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer statistics, 2021. Ca Cancer J Clin 2021;71:7-33. [ DOI:10.3322/caac.21654] 7. Szczuka I, Wierzbicki J, Serek P, Szczęśniak-Sięga BM, Krzystek-Korpacka M. Heat shock proteins HSPA1 and HSP90AA1 are upregulated in colorectal polyps and can be targeted in cancer cells by anti-inflammatory oxicams with arylpiperazine pharmacophore and benzoyl moiety substitutions at thiazine ring. Biomolecules 2021;11:1588. [ DOI:10.3390/biom11111588] 8. Chung C. Unique glioma requiring unique management. Int J Radiat Oncol Biol Phys 2020;108:520-21. [ DOI:10.1016/j.ijrobp.2019.09.021] 9. Yong L, YuFeng Z, Guang B. Association between PPP2CA expression and colorectal cancer prognosis tumor marker prognostic study. Int J Surg 2018;59:80-9. [ DOI:10.1016/j.ijsu.2018.09.020] 10. Wang H, Liu J, Li J, Zang D, Wang X, Chen Y, et al. Identification of gene modules and hub genes in colon adenocarcinoma associated with pathological stage based on WGCNA analysis. Cancer Genet 2020;242:1-7. [ DOI:10.1016/j.cancergen.2020.01.052] 11. Acharya UR, Fujita H, Oh SL, Hagiwara Y, Tan JH, Adam M. Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals. Information Sciences 2017;415:190-8. [ DOI:10.1016/j.ins.2017.06.027] 12. Zhao H, Chen S, Fu Q. Exosomes from CD133+ cells carrying circ‐ABCC1 mediate cell stemness and metastasis in colorectal cancer. J Cell Biochem 2020;121:3286-97. [ DOI:10.1002/jcb.29600] 13. Jin Y, Li R, Zhang Z, Ren J, Song X, Zhang G. ZBED1/DREF: A transcription factor that regulates cell proliferation. Oncol Lett 2020;20:137. [ DOI:10.3892/ol.2020.11997] 14. Qin Y, Sun W, Wang Z, Dong W, He L, Zhang T, et al. RBM47/SNHG5/FOXO3 axis activates autophagy and inhibits cell proliferation in papillary thyroid carcinoma. Cell Death Dis 2022;13:270. [ DOI:10.1038/s41419-022-04728-6] 15. Koveitypour Z, Panahi F, Vakilian M, Peymani M, Seyed Forootan F, Nasr Esfahani MH,et al. Signaling pathways involved in colorectal cancer progression. Cell Biosci 2019;9:1-4. [ DOI:10.1186/s13578-019-0361-4] 16. Kumar A, Deep A, Gupta RK, Atam V, Mohindra S. Brain Microstructural Correlates of Cognitive Dysfunction in Clinically and Biochemically Normal Hepatitis C Virus Infection. J Clin Exp Hepatol 2017;7:198-204. [ DOI:10.1016/j.jceh.2017.03.011] 17. Katz DH, Deo RC, Aguilar FG, Selvaraj S, Martinez EE, Beussink-Nelson L, et al. Phenomapping for the identification of hypertensive patients with the myocardial substrate for heart failure with preserved ejection fraction. J Cardiovasc Translat Res 2017;10:275-84. [ DOI:10.1007/s12265-017-9739-z] 18. Polubothu S, Zecchin D, Al-Olabi L, Lionarons DA, Harland M, Horswell S, et al. Inherited duplications of PPP2R3B predispose to nevi and melanoma via a C21orf91-driven proliferative phenotype. Genet Med 2021;23:1636-47. [ DOI:10.1038/s41436-021-01204-y] 19. Jiang S, Wang Y, Xiong Y, Feng Y, Tang J, Song R. Highexpression of ZBED1 affects proliferation and apoptosis in gastric cancer. Int J Clin Exp Pathol 2018;11:4019. 20. Wang X, Wang Y, Fang Z, Wang H, Zhang J, Zhang L,et al. Targeting HSPA1A in ARID2-deficient lung adenocarcinoma. Nat Sci Rev 2021;8:nwab014. [ DOI:10.1093/nsr/nwab014] 21. Guan Y, Zhu X, Liang J, Wei M, Huang S, Pan X. Upregulation of HSPA1A/HSPA1B/HSPA7 and downregulation of HSPA9 were related to poor survival in colon cancer. Front Oncol 2021;11:749673. [ DOI:10.3389/fonc.2021.749673] |
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Ganji E, Entezari M, Poorhosseini S M. Comparison of mRNA and ncRNA expression profiles in colon cancer patients with system biology approach between 2020 and 2021. MEDICAL SCIENCES 2023; 33 (4) :322-337 URL: http://tmuj.iautmu.ac.ir/article-1-2106-en.html
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