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Correlation of PDGF-BB and Ki-67 Expressions with MRI Features and Levels of ER, PR, and HER-2 of Patients with Invasive Ductal Carcinoma in Different Age Groups
Authors:  Qian Zhao, M.D., Diandian Chen, M.M., Yaqi Ma, M.M., and Jianwei Zhang, M.D.
  Objective: To investigate the correlation of PDGF-BB and Ki-67 expressions with MRI features and levels of ER, PR, and HER-2 of patients with invasive ductal carcinoma (IDC) in different age groups.
Study Design:
A total of 160 patients who were pathologically confirmed with IDC and who received biomarker testing and preoperative dynamic contrast-enhanced MRI scan at our hospital were recruited. They were divided into young age group (≤40 years, n=62) and middle to old age group (>40 years old, n=98). The expressions of PDGF-BB and Ki-67 in the cancerous and paracancerous tissues were detected by immunohistochemistry.
The PDGF-BB and Ki-67 expressions in the cancerous tissues were significantly higher than those in the paracancerous tissues. There were significant differences between the age groups in the contrast enhancement pattern upon MRI and whether the lesion boundaries were smooth or not (p<0.05). However, different age groups were not significantly different in the maximum tumor diameter, lesion shape features, and time signal intensity curve type (p>0.05). The PDGF-BB and Ki-67 expressions in the cancerous tissues were correlated with the levels of ER and PR, maximum tumor diameter, histological grade, and lesion shape features (p<0.05). Spearman’s correlation analysis indicated a positive correlation between PDGF-BB and Ki-67 expressions in the cancerous tissues (r=0.293, p=0.046). The tumor size varied significantly in patients with low and high PDGF-BB and Ki-67 expressions (p<0.05).
PDGF-BB and Ki-67 play a crucial role in the occurrence and development of IDC. The expressions of PDGF-BB and Ki-67 were correlated with other biomarkers and tumor diameter. However, their expressions were not correlated with other MRI manifestations except for tumor diameter.
Keywords:  breast cancer, immunohistochemistry, invasive ductal carcinoma, MRI, pathological markers, prognosis
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