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Clinical Study of Tumor Angiogenesis and Perfusion Imaging Using Multi-slice Spiral Computed Tomography for Breast Cancer

  • Xu, Na (Department of Radiology, The First Hospital of Liaoning Medical College) ;
  • Lei, Zhen (Department of Radiology, The First Hospital of Liaoning Medical College) ;
  • Li, Xiao-Long (Department of Radiology, The General Hospital of Chinese People's Liberation Army) ;
  • Zhang, Jun (Department of Radiology, The Hospital of Shanqiao Group of China Railway) ;
  • Li, Chen (Central Laboratory, The First Hospital of Liaoning Medical College) ;
  • Feng, Guo-Quan (Department of Radiology, The First Hospital of Liaoning Medical College) ;
  • Li, Di-Nuo (Department of General Surgery, The First Hospital of Liaoning Medical College) ;
  • Liu, Jing-Yi (Department of Radiology, The First Hospital of Liaoning Medical College) ;
  • Wei, Qiang (Department of Radiology, The First Hospital of Liaoning Medical College) ;
  • Bian, Ting-Ting (Department of Radiology, The First Hospital of Liaoning Medical College) ;
  • Zou, Tian-Yu (Department of Radiology, The First Hospital of Liaoning Medical College)
  • Published : 2013.01.31

Abstract

Objectives: To explore the correlation between multi-slice spiral CT (MSCT) perfusion parameters and the expression of vascular endothelial growth factor (VEGF) as well as matrix metalloproteinase-2 (MMP-2) in breast cancer. Methods: Forty five breast cancer patients and 16 patients with benign breast tumor, both confirmed by pathology examination, were enrolled. All underwent MSCT perfusion imaging to obtain perfusion maps and data for parameters including blood flow (BF), blood volume (BV) and permeability surface (PS). Cancer patients did not receive treatment prior to surgery. The expression of VEGF and MMP-2 were examined with both immunohistochemistry and Western blotting. Results: The levels of VEGF and MMP-2 by immunohistochemistry were significantly higher in the breast cancer group (P < 0.01) than the benign tumor group. Relative OD values from Western blotting were also higher in cancer cases (P < 0.05). Similarly, the mean MSCT perfusion parameters (BF, BV, PS) were significantly higher in the breast cancer group (P < 0.01), BF and BV positively correlating with VEGF expression (r = 0.878 and 0.809 respectively, P < 0.01); PS and VEGF and MMP-2 expression were also positively correlated (r= 0.860, 0.786 respectively, P < 0.01). Conclusion: There is a correlation between breast cancer MSCT perfusion parameters and VEGF andMMP-2 expression, which might be useful for detection of breast lesions, qualitative diagnosis of breast cancer, and evaluation of breast cancer treatment.

References

  1. Ghasemi M, Emadian O, Naghshvar F, et al (2011). Immunohistochemical expression of vascular endothelial growth factor and its correlation with tumor grade in breast ductal carcinoma. Acta Med Iran, 49, 776-9.
  2. Jain R (2011). Perfusion CT imaging of brain tumors: an overview. Am J Neuroradiol, 32, 1570-7. https://doi.org/10.3174/ajnr.A2263
  3. Jezierska A, Motyl T (2009). Matrix metalloproteinase-2 involvement in breast cancer progression: a mini-review. Med Sci Monit, 15, RA32-40.
  4. Jobim FC, Schwartsmann G, Xavier NL, et al (2008). [Expression of MMP-9 and VEGF in breast cancer: correlation with other prognostic indicators]. Rev Bras Ginecol Obstet, 30, 287-93. https://doi.org/10.1590/S0100-72032008000600004
  5. Konukoglu D, Turhan MS, Celik V, Turna H (2007). Relation of serum vascular endothelial growth factor as an angiogenesis biomarker with nitric oxide & urokinase-type plasminogen activator in breast cancer patients. Indian J Med Res, 125, 747-51.
  6. Lei Z, Ma H, Xu N, Xi H (2011). The evaluation of anti-angiogenic treatment effects for implanted rabbit VX2 breast tumors using functional multi-slice spiral computed tomography (f-MSCT). Eur J Radiol, 78, 277-81. https://doi.org/10.1016/j.ejrad.2011.01.050
  7. Leiva-Salinas C, Provenzale JM, Wintermark M (2011). Responses to the 10 most frequently asked questions about perfusion CT. Am J Roentgenol, 196, 53-60. https://doi.org/10.2214/AJR.10.5705
  8. Park CM, Goo JM, Lee HJ, et al (2009). FN13762 murine breast cancer: region-by-region correlation of first-pass perfusion CT indexes with histologic vascular parameters. Radiology, 251, 721-30. https://doi.org/10.1148/radiol.2513081215
  9. Perrot-Applanat M, Di Benedetto M (2012). Autocrine functions of VEGF in breast tumor cells: Adhesion, survival, migration and invasion. Cell Adh Migr, 6, 547-53. https://doi.org/10.4161/cam.23332
  10. Sachdev JC, Jahanzeb M (2008). Evolution of bevacizumab-based therapy in the management of breast cancer. Clin Breast Cancer, 8, 402-10. https://doi.org/10.3816/CBC.2008.n.048
  11. Shimizu M, Saitoh Y, Itoh H (1990). Immunohistochemical staining of Ha-ras oncogene product in normal, benign, and malignant human pancreatic tissues. Hum Pathol, 21, 607-12. https://doi.org/10.1016/S0046-8177(96)90006-4
  12. Sledge GW, Jr. (2002). Vascular endothelial growth factor in breast cancer: biologic and therapeutic aspects. Semin Oncol, 29, 104-10. https://doi.org/10.1053/sonc.2002.34062
  13. So A, Lee TY (2011). Quantitative myocardial CT perfusion: a pictorial review and the current state of technology development. J Cardiovasc Comput Tomogr, 5, 467-81. https://doi.org/10.1016/j.jcct.2011.11.002
  14. SB, Somiari RI, Heckman CM, et al (2006). Circulating MMP2 and MMP9 in breast cancer -- potential role in classification of patients into low risk, high risk, benign disease and breast cancer categories. Int J Cancer, 119, 1403-11. https://doi.org/10.1002/ijc.21989
  15. Vinothini G, Aravindraja C, Chitrathara K, Nagini S (2011). Correlation of matrix metalloproteinases and their inhibitors with hypoxia and angiogenesis in premenopausal patients with adenocarcinoma of the breast. Clin Biochem, 44, 969-74. https://doi.org/10.1016/j.clinbiochem.2011.05.010
  16. Ahluwalia AS, Tarnawski A (2012). Critical Role of Hypoxia Sensor - HIF-1 in VEGF Gene Activation. Implications for Angiogenesis and Tissue Injury Healing. Curr Med Chem, 19, 90-7. https://doi.org/10.2174/092986712803413944
  17. Al-Raawi D, Abu-El-Zahab H, El-Shinawi M, Mohamed MM (2011). Membrane type-1 matrix metalloproteinase (MT1-MMP) correlates with the expression and activation of matrix metalloproteinase-2 (MMP-2) in inflammatory breast cancer. Int J Clin Exp Med, 4, 265-75.

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