Araştırma Makalesi
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Yıl 2023, Cilt: 24 Sayı: 4, 343 - 348, 30.12.2023

Supraja Salwaji Anuradha Ananthaneni Puneeth Horatti Kuberappa Bhavana Bagalad Mohan Kumar Pasupuleti Vijay Srinivas Guduru

Öz

Kaynakça

  • 1. Pereira MC, Oliveira DT, Landman G, Kowalski LP. Histologic subtypes of oral squamous cell carcinoma: prognostic relevance. J Can Dent Assoc 2007; 73: 339-44.
  • 2. Rivera C, Venegas B. Histological and molecular aspects of oral squamous cell carcinoma (Review). Oncol Lett 2014; 8: 7-11.
  • 3. Liviu Feller, Johan Lemmer.Oral squamous cell carcinoma: epidemiology, clinical presentation and treatment. J Cancer Ther 2012; 3: 263-8.
  • 4. Varshitha A. Prevalence of oral cancer in india. A/J. Pharm. Sci. & Res 2015; 7: 845-8.
  • 5. Shih-An Liu. A literature analysis of the risk factors for oral cancer. In: Dr. Kalu U. E. Ogburekeeditor. Oral cancer. China: InTech; 2012.p.65-78.
  • 6. Khalili J. Oral cancer: risk factors, prevention and diagnostic. Exp Oncol 2008; 30: 259-64.
  • 7. De Bont R, van Larebeke N. Endogenous DNA damage in humans: a review of quantitative data. Mutagenesis 2004; 19: 169-85.
  • 8. Choi S, Myers JN. Molecular pathogenesis of oral squamous cell carcinoma: implications for therapy. J Dent Res 2008; 87: 14-32.
  • 9. Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell 2011; 144: 646-74.
  • 10. Rothenberg SM, Ellisen LW. The molecular pathogenesis of headand neck squamous cell carcinoma. J Clin Invest 2012; 122: 1951-7.
  • 11. van Zyl A, Bunn BK. Clinical features of oral cancer. SADJ 2012; 67: 566-9.
  • 12. Akhter M, Hossain S, Rahman QB, Molla MR. A study on histological grading of oral squamous cell carcinoma and its co-relationshipwith regional metastasis. J Oral Maxillofac Pathol 2011; 15: 168-76.
  • 13. Ankur B, Sonal S, Monali C. Histopathological grading systemsinoral squamous cell carcinoma: A Review.J.Int Oral Health 2010; 2: 1-10.
  • 14. Jasmin S. Histopathology of oral squamous cell carcinoma- Areview. TMU J Dent 2014; 1: 141-4.
  • 15. Goutaniz LP, Pavlopoulos PM, Papadogeorgakis N.Fractal analysisin the study of oral cancer. Austral-Asian J Cancer 2012; 11: 5-12.
  • 16. Hübner MR, Eckersley-Maslin MA, Spector DL. Chromatinorganization and transcriptional regulation. Curr Opin Genet Dev2013; 23: 89-95.
  • 17. Yinti SR, N S, Boaz K, Lewis AJ, Ashokkumar PJ, Kapila SN. NuclearFractal Dimensions as a Tool for Prognostication of Oral SquamousCell Carcinoma. J Clin Diagn Res 2015; 9: EC21-5.
  • 18. Phulari RG, Rathore RS, Talegaon TP. Nuclear fractal dimension: A new objective approach for discriminating normal mucosa, dysplasia and carcinoma. J Oral Maxillofac Pathol 2016; 20: 400-4.
  • 19. Goutzanis L, Papadogeorgakis N, Pavlopoulos PM, Katti K, PetsinisV, Plochoras I, et al. Nuclear fractal dimension as a prognosticfactor in oral squamous cell carcinoma. Oral Oncol 2008; 44: 345-53.
  • 20. Mincione G, Di Nicola M, Di Marcantonio MC, Muraro R, Piattelli A, Rubini C, et al. Nuclear fractal dimension in oral squamouscell carcinoma: a novel method for the evaluation of grading, staging, and survival. J Oral Pathol Med 2015; 44: 680-4.
  • 21. Malatesta M. Transmission Electron Microscopy as a Powerful Tool to Investigate the Interaction of Nanoparticles with SubcellularStructures. Int J Mol Sci 2021; 22: 12789.
  • 22. Lam J, Katti P, Biete M, Mungai M, AshShareef S, Neikirk K, et al. A Universal Approach to Analyzing Transmission ElectronMicroscopy with ImageJ. Cells 2021; 10: 2177.

Fractal Analysis of Nuclear Architecture in Oral Squamous Cell Carcinoma by Using Transmission Electron Microscopy: An Original Research

Yıl 2023, Cilt: 24 Sayı: 4, 343 - 348, 30.12.2023

Supraja Salwaji Anuradha Ananthaneni Puneeth Horatti Kuberappa Bhavana Bagalad Mohan Kumar Pasupuleti Vijay Srinivas Guduru

Öz

Objective: A tumor’s histological traits can be digitally assessed and quantified using fractal dimension (FD), a mathematical measureof a shape’s irregularity and complexity. The goal of this study was to examine and contrast the nuclear FD between normal andoral squamous cell carcinoma (OSCC).
Materials and Methods: The present study comprised 15 OSCC patients and 15 patients in an age- and sex-matched control group. Fresh biopsy was taken from both groups reported over a period of one year at St. Joseph Dental College, Duggirala, Italy. Half of the tissue sample was used for transmission electron microscopy and the remaining half for H&E staining for grading. Fractal boxcounting on the ImageJ program serves forthe analysis of images in the assessment of nuclear architecture. The FD of the nucleuswas calculated in accordance with the Sarkar fractal box counting method.
Results: Results showed a statistically significant increase in the mean nuclear FD value of OSCC compared with normal mucosa. The minimum FD value of the nucleus obtained for normal mucosa is 0.7516 and the maximum value is 1.7982, whereas for OSCC, the minimum FD value of the nucleus is 1.8230 and maximum value of 1.9587. Mean ± standard deviation value of FD of the nucleusin normal mucosa is 1.5806±0.2928 and in OSCC is 1.9244±0.0414.
Conclusion: Significant differences in FD values were obtained compared with normal oral mucosa, thus crediting this as a novel and interesting tool in the diagnosis of cancer. Because the fractal analysis technique is non-invasive and cost-effective, it canbeused in developing countries.

Anahtar Kelimeler

Fractal dimension nuclear architecture oral squamous cell carcinoma transmission electron microscopy

Kaynakça

  • 1. Pereira MC, Oliveira DT, Landman G, Kowalski LP. Histologic subtypes of oral squamous cell carcinoma: prognostic relevance. J Can Dent Assoc 2007; 73: 339-44.
  • 2. Rivera C, Venegas B. Histological and molecular aspects of oral squamous cell carcinoma (Review). Oncol Lett 2014; 8: 7-11.
  • 3. Liviu Feller, Johan Lemmer.Oral squamous cell carcinoma: epidemiology, clinical presentation and treatment. J Cancer Ther 2012; 3: 263-8.
  • 4. Varshitha A. Prevalence of oral cancer in india. A/J. Pharm. Sci. & Res 2015; 7: 845-8.
  • 5. Shih-An Liu. A literature analysis of the risk factors for oral cancer. In: Dr. Kalu U. E. Ogburekeeditor. Oral cancer. China: InTech; 2012.p.65-78.
  • 6. Khalili J. Oral cancer: risk factors, prevention and diagnostic. Exp Oncol 2008; 30: 259-64.
  • 7. De Bont R, van Larebeke N. Endogenous DNA damage in humans: a review of quantitative data. Mutagenesis 2004; 19: 169-85.
  • 8. Choi S, Myers JN. Molecular pathogenesis of oral squamous cell carcinoma: implications for therapy. J Dent Res 2008; 87: 14-32.
  • 9. Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell 2011; 144: 646-74.
  • 10. Rothenberg SM, Ellisen LW. The molecular pathogenesis of headand neck squamous cell carcinoma. J Clin Invest 2012; 122: 1951-7.
  • 11. van Zyl A, Bunn BK. Clinical features of oral cancer. SADJ 2012; 67: 566-9.
  • 12. Akhter M, Hossain S, Rahman QB, Molla MR. A study on histological grading of oral squamous cell carcinoma and its co-relationshipwith regional metastasis. J Oral Maxillofac Pathol 2011; 15: 168-76.
  • 13. Ankur B, Sonal S, Monali C. Histopathological grading systemsinoral squamous cell carcinoma: A Review.J.Int Oral Health 2010; 2: 1-10.
  • 14. Jasmin S. Histopathology of oral squamous cell carcinoma- Areview. TMU J Dent 2014; 1: 141-4.
  • 15. Goutaniz LP, Pavlopoulos PM, Papadogeorgakis N.Fractal analysisin the study of oral cancer. Austral-Asian J Cancer 2012; 11: 5-12.
  • 16. Hübner MR, Eckersley-Maslin MA, Spector DL. Chromatinorganization and transcriptional regulation. Curr Opin Genet Dev2013; 23: 89-95.
  • 17. Yinti SR, N S, Boaz K, Lewis AJ, Ashokkumar PJ, Kapila SN. NuclearFractal Dimensions as a Tool for Prognostication of Oral SquamousCell Carcinoma. J Clin Diagn Res 2015; 9: EC21-5.
  • 18. Phulari RG, Rathore RS, Talegaon TP. Nuclear fractal dimension: A new objective approach for discriminating normal mucosa, dysplasia and carcinoma. J Oral Maxillofac Pathol 2016; 20: 400-4.
  • 19. Goutzanis L, Papadogeorgakis N, Pavlopoulos PM, Katti K, PetsinisV, Plochoras I, et al. Nuclear fractal dimension as a prognosticfactor in oral squamous cell carcinoma. Oral Oncol 2008; 44: 345-53.
  • 20. Mincione G, Di Nicola M, Di Marcantonio MC, Muraro R, Piattelli A, Rubini C, et al. Nuclear fractal dimension in oral squamouscell carcinoma: a novel method for the evaluation of grading, staging, and survival. J Oral Pathol Med 2015; 44: 680-4.
  • 21. Malatesta M. Transmission Electron Microscopy as a Powerful Tool to Investigate the Interaction of Nanoparticles with SubcellularStructures. Int J Mol Sci 2021; 22: 12789.
  • 22. Lam J, Katti P, Biete M, Mungai M, AshShareef S, Neikirk K, et al. A Universal Approach to Analyzing Transmission ElectronMicroscopy with ImageJ. Cells 2021; 10: 2177.
Toplam 22 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Patoloji
Bölüm Araştırma Makalesi
Yazarlar

Supraja Salwaji

Anuradha Ananthaneni

Puneeth Horatti Kuberappa

Bhavana Bagalad

Mohan Kumar Pasupuleti

Vijay Srinivas Guduru

Yayımlanma Tarihi 30 Aralık 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 24 Sayı: 4

Kaynak Göster

EndNote Salwaji S, Ananthaneni A, Horatti Kuberappa P, Bagalad B, Kumar Pasupuleti M, Srinivas Guduru V (01 Aralık 2023) Fractal Analysis of Nuclear Architecture in Oral Squamous Cell Carcinoma by Using Transmission Electron Microscopy: An Original Research. Meandros Medical And Dental Journal 24 4 343–348.