Hypofractionated Radiation Versus Conventional Fractionated Radiation: A Network Analysis Hypofractionated Radiation Versus Conventional Fractionated Radiation
Journal of Lasers in Medical Sciences,
Vol. 13 (2022),
10 January 2022
,
Page e39
Abstract
Introduction: Conventional fractionation (CF) and hypofractionation (HF) are two radiotherapy methods against cancer, which are applied in medicine. Understanding the efficacy and molecular mechanism of the two methods implies more investigations. In the present study, proteomic findings about the mentioned methods relative to the controls were analyzed via network analysis. Methods: The significant differentially expressed proteins (DEPs) of prostate cancer (PCa) cell line DU145 in response to CF and HF radiation therapy versus controls were extracted from the literature. The protein-protein interaction (PPI) networks were constructed via the STRING database via Cytoscape software. The networks were analyzed by “NetworkAnalyzer” to determine hub DEPs. Results: 126 and 63 significant DEPs were identified for treated DU145 with CF and HF radiation respectively. The PPI networks were constructed by the queried DEPs plus 100 first neighbors. ALB, CD44, THBS1, EPCAM, F2, KRT19, and MCAM were highlighted as common hubs. VTM, OCLN, HSPB1, FLNA, AHSG, and SERPINC1 appeared as the discriminator hub between the studied cells. Conclusion: 70% of the hubs were common between CF and HF conditions, and they induced radio-resistance activity in the survived cells. Six central proteins which discriminate the function of the two groups of irradiated cells were introduced. On the basis of these findings, it seems that DU145-CF cells, relative to the DU145-UF cells, are more radio-resistant.
Keywords:
- Radioresistant; Protein expression; DU145 cell line; Network analysis; Hub node
How to Cite
Arjmand, B. ., Rezaei-Tavirani, M., Hamzeloo-Moghadam, M. ., Razzaghi, Z. ., Khodadoost, M. ., Okhovatian, F. ., Zamanian-Azodi, M. ., & Ansari, . M. . (2022). Hypofractionated Radiation Versus Conventional Fractionated Radiation: A Network Analysis: Hypofractionated Radiation Versus Conventional Fractionated Radiation. Journal of Lasers in Medical Sciences, 13, e39. Retrieved from https://journals.sbmu.ac.ir/jlms/article/view/38702
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2. Hoffmann AL, Den Hertog D, Siem AY, Kaanders JH, Huizenga H. Convex reformulation of biologically-based multi-criteria intensity-modulated radiation therapy optimization including fractionation effects. Physics in Medicine & Biology. 2008;53(22):6345.
3. Schürmann R, Vogel S, Ebel K, Bald I. The Physico‐Chemical Basis of DNA Radiosensitization: Implications for Cancer Radiation Therapy. Chemistry–A European Journal. 2018;24(41):10271-9.
4. Griffin RJ, Ahmed MM, Amendola B, Belyakov O, Bentzen SM, Butterworth KT, et al. Understanding high-dose, ultra-high dose rate, and spatially fractionated radiation therapy. International Journal of Radiation Oncology* Biology* Physics. 2020;107(4):766-78.
5. Li H, Galperin-Aizenberg M, Pryma D, Simone II CB, Fan Y. Unsupervised machine learning of radiomic features for predicting treatment response and overall survival of early stage non-small cell lung cancer patients treated with stereotactic body radiation therapy. Radiotherapy and Oncology. 2018;129(2):218-26.
6. Fan P-C, Zhang Y, Wang Y, Wei W, Zhou Y-X, Xie Y, et al. Quantitative proteomics reveals mitochondrial respiratory chain as a dominant target for carbon ion radiation: Delayed reactive oxygen species generation caused DNA damage. Free Radical Biology and Medicine. 2019;130:436-45.
7. Li Z, Li N, Shen L, Fu J. Quantitative proteomic analysis identifies MAPK15 as a potential regulator of radioresistance in nasopharyngeal carcinoma cells. Frontiers in Oncology. 2018;8:548.
8. Manfredi M, Brandi J, Di Carlo C, Vita Vanella V, Barberis E, Marengo E, et al. Mining cancer biology through bioinformatic analysis of proteomic data. Expert review of proteomics. 2019;16(9):733-47.
9. Ventura TMO, Ribeiro NR, Taira EA, de Lima Leite A, Dionizio A, Rubira CMF, et al. Radiotherapy changes the salivary proteome in head and neck cancer patients: evaluation before, during, and after treatment. Clinical Oral Investigations. 2022;26(1):225-58.
10. Pan H-T, Ding H-G, Fang M, Yu B, Cheng Y, Tan Y-J, et al. Proteomics and bioinformatics analysis of altered protein expression in the placental villous tissue from early recurrent miscarriage patients. Placenta. 2018;61:1-10.
11. Zamanian–Azodi M, Rezaei–Tavirani M, Hasanzadeh H, Rad SR, Dalilan S. Introducing biomarker panel in esophageal, gastric, and colon cancers; a proteomic approach. Gastroenterology and Hepatology from bed to bench. 2015;8(1):6.
12. Rezaei-Tavirani M, Rezaei-Tavirani S, Mansouri V, Rostami-Nejad M, Rezaei-Tavirani M. Protein-protein interaction network analysis for a biomarker panel related to human esophageal adenocarcinoma. Asian Pacific journal of cancer prevention: APJCP. 2017;18(12):3357.
13. Abbaszadeh H-A, Peyvandi AA, Sadeghi Y, Safaei A, Zamanian-Azodi M, Khoramgah MS, et al. Er: YAG laser and cyclosporin A effect on cell cycle regulation of human gingival fibroblast cells. Journal of lasers in medical sciences. 2017;8(3):143.
14. Patil A, Kinoshita K, Nakamura H. Hub promiscuity in protein-protein interaction networks. International journal of molecular sciences. 2010;11(4):1930-43.
15. Kurganovs N, Wang H, Huang X, Ignatchenko V, Macklin A, Khan S, et al. A proteomic investigation of isogenic radiation resistant prostate cancer cell lines. PROTEOMICS–Clinical Applications. 2021;15(5):2100037.
16. Ghiam AF, Taeb S, Huang X, Huang V, Ray J, Scarcello S, et al. Long non-coding RNA urothelial carcinoma associated 1 (UCA1) mediates radiation response in prostate cancer. Oncotarget. 2017;8(3):4668.
17. Torres LN, Salgado CL, Dubick MA, Cap AP, Torres Filho IP. Role of albumin on endothelial basement membrane and hemostasis in a rat model of hemorrhagic shock. Journal of Trauma and Acute Care Surgery. 2021;91(2S):S65-S73.
18. Kaur S, Bronson SM, Pal-Nath D, Miller TW, Soto-Pantoja DR, Roberts DD. Functions of thrombospondin-1 in the tumor microenvironment. International Journal of Molecular Sciences. 2021;22(9):4570.
19. Mal A, Bukhari AB, Singh RK, Kapoor A, Barai A, Deshpande I, et al. EpCAM-Mediated Cellular Plasticity Promotes Radiation Resistance and Metastasis in Breast Cancer. Frontiers in cell and developmental biology. 2021;8:597673.
20. Kvolik S, Jukic M, Matijevic M, Marjanovic K, Glavas-Obrovac L. An overview of coagulation disorders in cancer patients. Surgical oncology. 2010;19(1):e33-e46.
21. Kabir NN, Rönnstrand L, Kazi JU. Keratin 19 expression correlates with poor prognosis in breast cancer. Molecular biology reports. 2014;41(12):7729-35.
22. Zoni E, Astrologo L, Ng CK, Piscuoglio S, Melsen J, Grosjean J, et al. Therapeutic targeting of CD146/MCAM reduces bone metastasis in prostate cancer. Molecular cancer research. 2019;17(5):1049-62.
23. Bera A, Subramanian M, Karaian J, Eklund M, Radhakrishnan S, Gana N, et al. Functional role of vitronectin in breast cancer. PloS one. 2020;15(11):e0242141.
24. Shen T-L, Liu M-N, Zhang Q, Feng W, Yu W, Fu X-L, et al. The positive role of vitronectin in radiation induced lung toxicity: the in vitro and in vivo mechanism study. Journal of translational medicine. 2018;16(1):1-12.
25. Gruber S, Cini N, Kowald L-M, Mayer J, Rohorzka A, Kuess P, et al. Upregulated epithelial junction expression represents a novel parameter of the epithelial radiation response to fractionated irradiation in oral mucosa. Strahlentherapie und Onkologie. 2018;194(8):771-9.
26. Rajesh Y, Biswas A, Banik P, Pal I, Das S, Borkar SA, et al. Transcriptional regulation of HSPB1 by Friend leukemia integration-1 factor modulates radiation and temozolomide resistance in glioblastoma. Oncotarget. 2020;11(13):1097.
27. Wang Z, He S, Jiang M, Li X, Chen N. Mechanism Study on Radiosensitization Effect of Curcumin in Bladder Cancer Cells Regulated by Filamin A. Dose-Response. 2022;20(2):15593258221100997.
28. Arjmand B, Vafaee R, Razzaghi M, Rezaei-Tavirani M, Ahmadzadeh A, Rezaei-Tavirani S, et al. Central Proteins of Plasma in Response to Low-Level Laser Therapy Involve in Body Hemostasis and Wound Repair. Journal of Lasers in Medical Sciences. 2020;11(Suppl 1):S55.
29. Kilik R, Bober P, Ropovik I, Beňačka R, Genči J, Nečas A, et al. Proteomic analysis of plasma proteins after low-level laser therapy in rats. Physiological Research. 2019;68:S399-S404.
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