Abstract:Objective: To investigate the correlation between ultrasonographic features with expression of biological indicators in breast invasive ductal carcinoma(IDC). Methods: The 117 cases of breast IDC tissues confirmed by pathology were described retrospectively by color Doppler ultrasound signs, including tumor size, edge, shape, distribution of calcification and morphology, rear echo, grade of flowing image, metastasis to lymph node and surrounding tissues invasion. We used immunohistochemical methods to detect the expression of ER, PR, HER-2, Ki67, p53 and analyze their correlations with ultrasonographic features. Results: The positive rate of ER, PR, HER-2, Ki67 and p53 in breast IDC were 70.9%, 59.0%, 66.7%, 70.1%, 51.3% respectively. Edge “glitches” sign of ultrasonographic features had correlation with the expression of ER, PR(P<0.05). The microcalcifications within the mass had correlation with the expression of HER-2, Ki67(P<0.05). The features of rear echo attenuation and flow grade level 2~3 had positive correlation with the expression of HER-2, Ki67, p53, but had no significant correlation with ER, PR(P>0.05). Whether lymph node metastasis and infiltration of surrounding tissue had correlation with the expression of ER, PR, HER-2, Ki67, p53(P<0.05), and tumor size, shape had no significant correlation with ER, PR, HER-2, Ki67, p53(P>0.05). The level of Ki67 and HER-2, p53 and HER-2 were positively correlated(r=0.290, P=0.001; r=0.254, P=0.006). The expression of Ki67 and p53 was positively correlated(r=0.222; P=0.016). Conclusion: There has correlation between ultrasonographic features and molecular biological markers, such as ER, PR, HER-2, Ki67, p53. Malignancy ultrasono-graphic features display a certain extent with the low level of ER, PR and high level of HER-2, Ki67, p53, then provide the guiding basis for individualized treatment and prognosis evaluation of patients with breast cancer.
姜文彬,任 甫. 乳腺浸润性导管癌超声征象与生物学指标相关性的研究[J]. 中国临床医学影像杂志, 2017, 28(2): 89-94.
JIANG Wen-bin, REN Fu. Correlation between ultrasonographic features with biological indicators in breast invasive ductal carcinoma. JOURNAL OF CHINA MEDICAL IMAGING, 2017, 28(2): 89-94.
[1]Sudarshan VK, Mookiah MR, Acharya UR, et al. Application of wavelet techniques for cancer diagnosis using ultrasound images: A Review[J]. Comput Biol Med, 2016, 69(1): 97-111.
[2]商晓光. 高频彩色多普勒超声对乳腺肿瘤的诊断及良恶性的鉴别诊断[J]. 中国煤炭工业医学杂志,2011,15(12):1915-1916.
[3]Yang Q, Liu HY, Liu D, et al. Ultrasonographic features of triple-negative breast cancer: a comparison with other breast cancer subtypes[J]. Asian Pac J Cancer Prev, 2015, 16(8): 3229-3232.
[4]McCormick Matthews LH, Noble F, Tod J, et al. Systematic review and Meta-analysis of immunohistochemical prognostic biomarkers in resected oesophageal adenocarcinoma[J]. Br J Cancer, 2015, 113(1): 107-118.
[5]Kimiloglu sahan E, Erdogan N, Ulusoy I, et al. P53, KI-67, CD117 expression in gastrointestinal and pancreatic neuroendocrine tumours and evaluation of their correlation with clinicopathological and prognostic parameters[J]. Turk J Gastroenterol, 2015, 26(2): 104-111.
[6]王少春,陈东风,曹长军,等. 乳腺癌患者超声钼靶X线表现及分子生物学指标临床观察[J]. 济宁医学院学报,2013,36(4):261-271.
[7]Yuan P, Xu B, Wang C, et al. Ki-67 expression in luminal type breast cancer and its association with the clinicopathology of the cancer[J]. Oncol Lett, 2016, 11(3): 2101-2105.
[8]Li JW, Mo M, Yu KD, et al. ER-poor and HER2-positive: a potential subtype of breast cancer to avoid axillary dissection in node positive patients after neoadjuvant chemo-trastuzumab therapy[J]. PLoS One, 2014, 9(12): e114646-114648.
[9]Shokouh TZ, Ezatollah A, Barand P. Interrelationships Between Ki67, HER2/neu, p53, ER, and PR Status and Their Associations With Tumor Grade and Lymph Node Involvement in Breast Carcinoma Subtypes: Retrospective Observational Analytical Study[J]. Medicine(Baltimore), 2015, 94(32): e1359-1364.
[10]Engels CC, Ruberta F, de Kruijf EM, et al. The prognostic value of apoptotic and proliferative markers in breast cancer[J]. Breast Cancer Res Treat, 2013, 142(2): 323-339.
[11]Laurinavicius A, Laurinaviciene A, Ostapenko V, et al. Immunohistochemistry profiles of breast ductal carcinoma: factor analysis of digital image analysis data[J]. Diagn Pathol, 2012, 7(27): 1543-1549.
[12]Shapochka DO, Zaletok SP, Gnidyuk MI. Relationship between NF-κB, ER, PR, Her2/neu, Ki67, p53 expression in human breast cancer[J]. Exp Oncol, 2012, 34(4): 358-363.