Research Article
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Tümör Doku Heterojenitesinin 2DE Proteomik Yaklaşımıyla Gösterilmesi

Year 2022, Volume: 12 Issue: 2, 301 - 314, 30.06.2022
https://doi.org/10.31832/smj.1066524

Abstract

Amaç: Birçok hastalığın ve kanserlerin biyolojik mekanizmalarının incelenmesinde yaygın olarak kullanılan proteomik yaklaşımlar, hastalık sürecinin izlenmesinde, biyobelirteçlerin ve potansiyel terapötik hedeflerin tanımlanmasında kullanılagelmektedir. Proteomik alanında kullanılan biyolojik örnekler arasında serum gibi biyolojik sıvılar ve doku gibi katı örnekler sayılabilir. Bu bağlamda analiz edilen doku örneklerinin kalitesi, örneğin alındığı bölgenin doğruluğu ve hatta örneğin alınmasından sonra proteomik araştırma laboratuarına ulaşıncaya kadar geçen süre gibi pre-analitik süreçler çok önemlidir. Biz bu çalışmamızda, tümör dokusu içerisinde iki farklı bölgeden alınan örneklerin çözünür proteom profillerini karşılaştırmayı ve varsa tümör heterojenitesini göstermeyi amaçladık.
Gereç ve Yöntemler: Cushing sendromu tanısı ile opere edilen bir hastanın adrenokortikal tümör dokusunun iki farklı bölgesinden (adenoma ve adenoma içi) ve sağlıklı dokusundan elde edilen proteinler 2DE yöntemi ile ayrıştırılarak karşılaştırmalı analize tabi tutulmuştur. Örnekler arasında regülasyon düzeyinde farklılık görülen protein sayısı belirlenmiş ve jellerden kesilerek MALDI-TOF/TOF kütle spektrometresi aracılığı ile tanımlanmıştır.
Bulgular: Kontrol dokusuna göre adenom bölgesinde 17 protein, adenom içi bölgede ise 13 proteinin seviyelerinde regülasyon tespit edilmiştir. Bu proteinler çoğu enerji metabolizması, hücre iskeleti organizasyonu ve hücresel stres ile ilişkili proteinlerdir.
Sonuç: Bu çalışma tümör dokusu içerisinde örneğin alındığı bölgenin proteom profilini ne ölçüde etkilediğini göstermiştir. Tümör dokusundan iki farklı bölgeden aldığımız örneklerde daha çok enerji metabolizması ile ilişkili proteinler olmak üzere bazı proteinlerin ifadelerinde ciddi farklılıklar görülmüştür. Bu durum özellikle biyobelirteç arayışlarının olduğu çalışmalarda proteomik bulgularının yorumlanmasında dikkat edilmesi gerektiği ve proteomik çalışmalarında örnek sayısının mümkün olduğunca fazla tutulması gerektiğini vurgulamaktadır.

Supporting Institution

Kocaeli Üniversitesi

Project Number

KOÜ-BAP TSA-2020-1545

Thanks

Bu araştırma Kocaeli Üniversitesi Bilimsel Araştırma Birimi tarafından desteklenmiştir (Proje No: KOÜ-BAP TSA-2020-1545). Dokunun patolojik incelemesini yaptığı için Dr. Büşra Yaprak Bayrak’a teşekkür ederiz.

References

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The Demonstration of Tumor Heterogeneity using 2DE Proteomic Approach

Year 2022, Volume: 12 Issue: 2, 301 - 314, 30.06.2022
https://doi.org/10.31832/smj.1066524

Abstract

Objective: Proteomic approaches, have been used in monitoring the disease processes and identification of biomarkers. Biological samples used in the field of proteomics include biological fluids and solid samples. In this context, pre-analytical processes e.g., tissue sample quality, sampling site accuracy and sample transfer time to the site of proteomic laboratory are very important. In this study, the proteome profiles of samples taken from two different regions within a tumor tissue were compared to show tumor heterogeneity.
Material and Methods: Proteins obtained from two different regions of adrenocortical tumor tissue (adenoma and intra-adenoma) and healthy tissue of a patient who was operated on with the diagnosis of Cushing's syndrome were separated by 2DE and subjected to comparative analysis. The number of differentially regulated proteins among the samples was determined and identified by MALDI-TOF/TOF mass spectrometry.
Results: Seventeen and thirteen proteins were differentially regulated in the adenoma and intra adenoma regions compared to the control tissue, respectively. These proteins mostly associated with energy metabolism, cytoskeletal organization, and cellular stress.
Conclusion: This study showed to what extent the sample area in the tumor tissue affects the proteome profile. The samples taken from two different regions of a same tumor tissue displayed serious differences in the expressions of some proteins, mostly those associated with energy metabolism. This highlights the need to be careful in interpreting proteomic findings, especially in studies where biomarkers are sought. To minimize sample variation, as many samples as possible should be studied in proteomic studies.

Project Number

KOÜ-BAP TSA-2020-1545

References

  • Referans1. Anderson NG, Anderson NL. Twenty years of two-dimensional electrophoresis: past, present and future. Electrophoresis. Mar 1996;17(3):443-53. doi:10.1002/elps.1150170303
  • Referans2. Olivier M, Asmis R, Hawkins GA, Howard TD, Cox LA. The Need for Multi-Omics Biomarker Signatures in Precision Medicine. Int J Mol Sci. Sep 26 2019;20(19)doi:10.3390/ijms20194781
  • Referans3. Pandey A, Mann M. Proteomics to study genes and genomes. Nature. Jun 15 2000;405(6788):837-46. doi:10.1038/35015709
  • Referans4. Gramolini A, Lau E, Liu PP. Identifying Low-Abundance Biomarkers: Aptamer-Based Proteomics Potentially Enables More Sensitive Detection in Cardiovascular Diseases. Circulation. Jul 26 2016;134(4):286-9. doi:10.1161/CIRCULATIONAHA.116.022940
  • Referans5. Hanash S, Taguchi A. Application of proteomics to cancer early detection. Cancer J. Nov-Dec 2011;17(6):423-8. doi:10.1097/PPO.0b013e3182383cab
  • Referans6. Jiang S, Wang Y, Liu Z. The application of urinary proteomics for the detection of biomarkers of kidney diseases. Adv Exp Med Biol. 2015;845:151-65. doi:10.1007/978-94-017-9523-4_15
  • Referans7. Lin JL, Bonnichsen MH, Nogeh EU, Raftery MJ, Thomas PS. Proteomics in detection and monitoring of asthma and smoking-related lung diseases. Expert Rev Proteomics. Jun 2010;7(3):361-72. doi:10.1586/epr.10.9
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  • Referans10. Nakayasu ES, Gritsenko M, Piehowski PD, et al. Tutorial: best practices and considerations for mass-spectrometry-based protein biomarker discovery and validation. Nat Protoc. Aug 2021;16(8):3737-3760. doi:10.1038/s41596-021-00566-6
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  • Referans14. Yoneten KK, Kasap M, Arga KY, Akpinar G, Utkan NZ. Decreased serum levels of glycerol-3- phosphate dehydrogenase 1 and monoacylglycerol lipase act as diagnostic biomarkers for breast cancer. Cancer Biomark. Oct 12 2021;doi:10.3233/CBM-203093
  • Referans15. Teke K, Kasap M, Simsek E, et al. SERPIN A5 may have a potential as a biomarker in reflecting the improvement of semen quality in infertile men who underwent varicocele repair. Andrologia. Aug 2021;53(7):e14081. doi:10.1111/and.14081
  • Referans16. Poli G, Ceni E, Armignacco R, et al. 2D-DIGE proteomic analysis identifies new potential therapeutic targets for adrenocortical carcinoma. Oncotarget. Mar 20 2015;6(8):5695-706. doi:10.18632/oncotarget.3299
  • Referans17. Lim MD, Dickherber A, Compton CC. Before You Analyze a Human Specimen, Think Quality, Variability, and Bias. Anal Chem. Jan 1 2011;83(1):8-13. doi:10.1021/ac1018974
  • Referans18. Espina V, Edmiston KH, Heiby M, et al. A portrait of tissue phosphoprotein stability in the clinical tissue procurement process. Mol Cell Proteomics. Oct 2008;7(10):1998-2018. doi:10.1074/mcp.M700596-MCP200
  • Referans19. Meric-Bernstam F, Akcakanat A, Chen H, et al. Influence of biospecimen variables on proteomic biomarkers in breast cancer. Clin Cancer Res. Jul 15 2014;20(14):3870-83. doi:10.1158/1078-0432.CCR-13-1507
  • Referans20. Gundisch S, Hauck S, Sarioglu H, et al. Variability of protein and phosphoprotein levels in clinical tissue specimens during the preanalytical phase. J Proteome Res. Dec 7 2012;11(12):5748-62. doi:10.1021/pr300560y
  • Referans21. Gundisch S, Grundner-Culemann K, Wolff C, et al. Delayed times to tissue fixation result in unpredictable global phosphoproteome changes. J Proteome Res. Oct 4 2013;12(10):4424-34. doi:10.1021/pr400451z
  • Referans22. Baker AF, Dragovich T, Ihle NT, Williams R, Fenoglio-Preiser C, Powis G. Stability of phosphoprotein as a biological marker of tumor signaling. Clin Cancer Res. Jun 15 2005;11(12):4338-40. doi:10.1158/1078-0432.CCR-05-0422
  • Referans23. Pinhel IF, Macneill FA, Hills MJ, et al. Extreme loss of immunoreactive p-Akt and p-Erk1/2 during routine fixation of primary breast cancer. Breast Cancer Res. 2010;12(5):R76. doi:10.1186/bcr2719
  • Referans24. Gao X, Yamazaki Y, Tezuka Y, et al. Intratumoral heterogeneity of the tumor cells based on in situ cortisol excess in cortisol-producing adenomas; similar to An association among morphometry, genotype and cellular senescence similar to. J Steroid Biochem. Nov 2020;204doi:ARTN 105764 10.1016/j.jsbmb.2020.105764
  • Referans25. Bertagna X, Guignat L, Groussin L, Bertherat J. Cushing's disease. Best Pract Res Clin Endocrinol Metab. Oct 2009;23(5):607-23. doi:10.1016/j.beem.2009.06.001
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  • Referans27. Newell-Price J, Bertagna X, Grossman AB, Nieman LK. Cushing's syndrome. Lancet. May 13 2006;367(9522):1605-17. doi:10.1016/S0140-6736(06)68699-6
  • Referans28. Nieman LK, Biller BM, Findling JW, et al. The diagnosis of Cushing's syndrome: an Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab. May 2008;93(5):1526-40. doi:10.1210/jc.2008-0125
  • Referans29. Tabarin A, Perez P. Pros and cons of screening for occult Cushing syndrome. Nat Rev Endocrinol. Mar 22 2011;7(8):445-55. doi:10.1038/nrendo.2011.51
  • Referans30. Bansal V, El Asmar N, Selman WR, Arafah BM. Pitfalls in the diagnosis and management of Cushing's syndrome. Neurosurg Focus. Feb 2015;38(2):E4. doi:10.3171/2014.11.FOCUS14704
  • Referans31. Clayton RN, Raskauskiene D, Reulen RC, Jones PW. Mortality and morbidity in Cushing's disease over 50 years in Stoke-on-Trent, UK: audit and meta-analysis of literature. J Clin Endocrinol Metab. Mar 2011;96(3):632-42. doi:10.1210/jc.2010-1942
  • Referans32. Duan K, Hernandez KG, Mete O. Clinicopathological correlates of adrenal Cushing's syndrome. Postgrad Med J. Jun 2015;91(1076):331-42. doi:10.1136/postgradmedj-2014-202612rep
  • Referans33. Kjellin H, Johansson H, Hoog A, Lehtio J, Jakobsson PJ, Kjellman M. Differentially expressed proteins in malignant and benign adrenocortical tumors. PLoS One. 2014;9(2):e87951. doi:10.1371/journal.pone.0087951
  • Referans34. Yang MS, Wang HS, Wang BS, et al. A comparative proteomic study identified calreticulin and prohibitin up-regulated in adrenocortical carcinomas. Diagn Pathol. Apr 15 2013;8:58. doi:10.1186/1746-1596-8-58
  • Referans35. Kotlowska A, Malinski E, Sworczak K, Kumirska J, Stepnowski P. The urinary steroid profile in patients diagnosed with adrenal incidentaloma. Clin Biochem. Apr 2009;42(6):448-54. doi:10.1016/j.clinbiochem.2008.12.027
  • Referans36. Kotlowska A, Sworczak K, Stepnowski P. Urine metabolomics analysis for adrenal incidentaloma activity detection and biomarker discovery. J Chromatogr B Analyt Technol Biomed Life Sci. Feb 15 2011;879(5-6):359-63. doi:10.1016/j.jchromb.2010.12.021
  • Referans37. Arlt W, Biehl M, Taylor AE, et al. Urine steroid metabolomics as a biomarker tool for detecting malignancy in adrenal tumors. J Clin Endocrinol Metab. Dec 2011;96(12):3775-84. doi:10.1210/jc.2011-1565
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There are 52 citations in total.

Details

Primary Language Turkish
Subjects Health Care Administration
Journal Section Articles
Authors

Aylin Kanlı 0000-0002-0674-0072

Turgay Şimşek 0000-0002-5733-6301

Murat Kasap This is me 0000-0001-8527-2096

Gürler Akpınar 0000-0002-9675-3714

Zafer Cantürk 0000-0002-0042-9742

Project Number KOÜ-BAP TSA-2020-1545
Publication Date June 30, 2022
Submission Date February 2, 2022
Published in Issue Year 2022 Volume: 12 Issue: 2

Cite

AMA Kanlı A, Şimşek T, Kasap M, Akpınar G, Cantürk Z. Tümör Doku Heterojenitesinin 2DE Proteomik Yaklaşımıyla Gösterilmesi. Sakarya Tıp Dergisi. June 2022;12(2):301-314. doi:10.31832/smj.1066524

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