We propose to investigate the angiogenesis status in stage I and II invasive ductal carcinoma (IDC) of the breast by immunohistochemistry (IHC) and magnetic resonance imaging (MRI). Angiogenesis is the formation of new blood vessels within tumors, which is essential for the growth and spread of cancer. Because angiogenesis is thought to be a very early event in cancer pathogenesis, a better characterization of its status may aid in appropriate management of disease by administering the most appropriate treatment protocol. Supporting evidence has indicated that the angiogenesis is associated with the aggressiveness of the primary cancer. The long-term goal is to predict the risk of future relapse and metastasis. The angiogenic molecular markers, including mutant p53, thrombospondin-1 (TSP-1), CD31 (vascular marker) and CD-105 (neovascular marker) vessel density, and VEGF (Vascular Endothelial Growth Factor), can be quantitatively measured with IHC analysis. These markers have been shown to be good prognostic indicators. However, since the study is performed from a thin slide of a cancer, the inadequate sampling may result in values that are not representative of the whole tumor. New vessel formation results in a higher vascularity and a leakier structure, which can be detected by dynamic contrast enhanced MRI. This technique has been shown as a non-invasive means to measure the vascular characteristics in tumors. The enhancement kinetics can be analyzed with pharmacokinetic models to derive the vascular volume and vascular permeability parameters. The former is related to the blood flow supplied to the tumor, and the latter is related to the leakage status (or, maturity) of vessels, which are two important properties of a tumor. Therefore, MRI can be used to measure the vascularity from a thorough sampling of the entire tumor, thus may provide supplementary information to the IHC markers for the assessment of angiogenesis more accurately. In this study we will apply IHC and dynamic MRI to characterize the angiogenic status of early breast cancer (invasive ductal carcinoma, stage I and II). The patients with suspected malignant breast lesions will be first studied with MRI. Then surgical biopsy will be performed, and the specimen will be sent for pathological examination and IHC. The patients will be followed closely for lymphatic involvement and developments of recurrence and metastasis. After the studies are completed, we will determine the predictive value of MRI, IHC, and a combination of MRI + IHC for their association with the initial lymph node involvement. If a strong correlation can be established, the painful procedure of lymph node dissection may be aborted. The successful outcome of the current proposal should enhance the accuracy of the prognostic factors and reduce the treatment-associated morbidity while also reducing the long-term mortality by selecting the """"""""correct treatment.""""""""

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA090437-05
Application #
6871249
Study Section
Special Emphasis Panel (ZRG1-CONC (01))
Program Officer
Menkens, Anne E
Project Start
2001-04-01
Project End
2007-03-31
Budget Start
2005-04-01
Budget End
2007-03-31
Support Year
5
Fiscal Year
2005
Total Cost
$397,425
Indirect Cost
Name
University of California Irvine
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
046705849
City
Irvine
State
CA
Country
United States
Zip Code
92697
Chen, J-H; Mehta, R S; Baek, H-M et al. (2011) Clinical characteristics and biomarkers of breast cancer associated with choline concentration measured by 1H MRS. NMR Biomed 24:316-24
Chen, Jeon-Hor; Nie, Ke; Bahri, Shadfar et al. (2010) Decrease in breast density in the contralateral normal breast of patients receiving neoadjuvant chemotherapy: MR imaging evaluation. Radiology 255:44-52
Newell, Dustin; Nie, Ke; Chen, Jeon-Hor et al. (2010) Selection of diagnostic features on breast MRI to differentiate between malignant and benign lesions using computer-aided diagnosis: differences in lesions presenting as mass and non-mass-like enhancement. Eur Radiol 20:771-81
Nie, Ke; Chang, Daniel; Chen, Jeon-Hor et al. (2010) Quantitative analysis of breast parenchymal patterns using 3D fibroglandular tissues segmented based on MRI. Med Phys 37:217-26
Chen, Jeon-Hor; Mehta, Rita S; Nalcioglu, O et al. (2010) Magnetic resonance imaging evaluation of noninflammatory breast cancer with skin involvement after neoadjuvant chemotherapy. Ann Surg Oncol 17:1964-5
Baek, H-M; Chen, J-H; Nalcioglu, O et al. (2010) Can proton MRS provide useful information for characterizing estrogen receptor status in breast cancer? Ann Oncol 21:663-5
McLaren, Christine E; Chen, Wen-Pin; Nie, Ke et al. (2009) Prediction of malignant breast lesions from MRI features: a comparison of artificial neural network and logistic regression techniques. Acad Radiol 16:842-51
Agrawal, Garima; Su, Min-Ying; Nalcioglu, Orhan et al. (2009) Significance of breast lesion descriptors in the ACR BI-RADS MRI lexicon. Cancer 115:1363-80
Chen, Jeon-Hor; Feig, Byron A; Hsiang, David J-B et al. (2009) Impact of MRI-evaluated neoadjuvant chemotherapy response on change of surgical recommendation in breast cancer. Ann Surg 249:448-54
Chen, J-H; Chang, D; Nie, K et al. (2009) Comparison of breast density in the contralateral normal breast of patients with invasive and in situ breast cancer measured on MRI. Ann Oncol 20:1449-50

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