Skip to main content
Top
Published in: Journal of Ovarian Research 1/2017

Open Access 01-12-2017 | Research

The value of DCE-MRI in assessing histopathological and molecular biological features in induced rat epithelial ovarian carcinomas

Authors: Su Juan Yuan, Tian Kui Qiao, Jin Wei Qiang, Song Qi Cai, Ruo Kun Li

Published in: Journal of Ovarian Research | Issue 1/2017

Login to get access

Abstract

Background

To investigate dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) for assessing histopathological and molecular biological features in induced rat epithelial ovarian carcinomas (EOCs).

Methods

7,12-dimethylbenz[A]anthracene (DMBA) was applied to induce EOCs in situ in 46 SD rats. Conventional MRI and DCE-MRI were performed to evaluate the morphology and perfusion features of the tumors, including the time-signal intensity curve (TIC), volume transfer constant (Ktrans), rate constant (Kep), extravascular extracellular space volume ratio (Ve) and initial area under the curve (IAUC). DCE-MRI parameters were correlated with histological grade, microvascular density (MVD), vascular endothelial growth factor (VEGF) and fraction of Ki67-positive cells and the serum level of cancer antigen 125 (CA125).

Results

Thirty-five of the 46 rats developed EOCs. DCE-MRI showed type III TIC more frequently than type II (29/35 vs. 6/35, p < 0.001) in EOCs. The two types of TIC of tumors had significant differences in the histological grade, MVD, expression of VEGF and Ki67, and the serum level of CA125 (all p < 0.01). Ktrans, Kep and IAUC values showed significant differences in different histological grades in overall and pairwise comparisons except for IAUC in grade 2 vs. grade 3 (all p < 0.01). There was no significant difference in Ve values among the three grade groups (p > 0.05). Ktrans, Kep and IAUC values were positively correlated with MVD, VEGF and Ki67 expression (all p < 0.01). Ve was not significantly correlated with MVD, VEGF expression, Ki67 expression and the CA125 level (all p > 0.05).

Conclusions

TIC types and perfusion parameters of DCE-MRI can reflect tumor grade, angiogenesis and cell proliferation to some extent, thereby helping treatment planning and predicting prognosis.
Literature
1.
2.
go back to reference Mohaghegh P, Rockall AG. Imaging strategy for early ovarian cancer: characterization of adnexal masses with conventional and advanced imaging techniques. Radiographics. 2012;32:1751–73.CrossRefPubMed Mohaghegh P, Rockall AG. Imaging strategy for early ovarian cancer: characterization of adnexal masses with conventional and advanced imaging techniques. Radiographics. 2012;32:1751–73.CrossRefPubMed
3.
go back to reference Tuncbilek N, Tokatli F, Altaner S, Sezer A, Türe M, Omurlu IK, et al. Prognostic value DCE-MRI parameters in predicting factor disease free survival and overall survival for breast cancer patients. Eur J Radiol. 2012;81:863–7.CrossRefPubMed Tuncbilek N, Tokatli F, Altaner S, Sezer A, Türe M, Omurlu IK, et al. Prognostic value DCE-MRI parameters in predicting factor disease free survival and overall survival for breast cancer patients. Eur J Radiol. 2012;81:863–7.CrossRefPubMed
4.
go back to reference Koo HR, Cho N, Song IC, Kim H, Chang JM, Yi A, et al. Correlation of perfusion parameters on dynamic contrast-enhanced MRI with prognostic factors and subtypes of breast cancers. J Magn Reson Imaging. 2012;36:145–51.CrossRefPubMed Koo HR, Cho N, Song IC, Kim H, Chang JM, Yi A, et al. Correlation of perfusion parameters on dynamic contrast-enhanced MRI with prognostic factors and subtypes of breast cancers. J Magn Reson Imaging. 2012;36:145–51.CrossRefPubMed
5.
go back to reference Bali MA, Metens T, Denolin V, Delhaye M, Demetter P, Closset J. et al. Tumoral and nontumoral pancreas: correlation between quantitative dynamic contrast-enhanced MR imaging and histopathologic parameters. Radiology. 2011;261: 456–66. Bali MA, Metens T, Denolin V, Delhaye M, Demetter P, Closset J. et al. Tumoral and nontumoral pancreas: correlation between quantitative dynamic contrast-enhanced MR imaging and histopathologic parameters. Radiology. 2011;261: 456–66.
6.
go back to reference De Bruyne S, Van Damme N, Smeets P, Ferdinande L, Ceelen W, Mertens J, et al. Value of DCE-MRI and FDG-PET/CT in the prediction of response to preoperative chemotherapy with bevacizumab for colorectal liver metastases. Br J Cancer. 2012;106:1926–33.CrossRefPubMedPubMedCentral De Bruyne S, Van Damme N, Smeets P, Ferdinande L, Ceelen W, Mertens J, et al. Value of DCE-MRI and FDG-PET/CT in the prediction of response to preoperative chemotherapy with bevacizumab for colorectal liver metastases. Br J Cancer. 2012;106:1926–33.CrossRefPubMedPubMedCentral
7.
go back to reference Seitz M, Shukla-Dave A, Bjartell A, Touijer K, Sciarra A, Bastian PJ, et al. Functional magnetic resonance imaging in prostate cancer. Eur Urol. 2009;55:801–14.CrossRefPubMed Seitz M, Shukla-Dave A, Bjartell A, Touijer K, Sciarra A, Bastian PJ, et al. Functional magnetic resonance imaging in prostate cancer. Eur Urol. 2009;55:801–14.CrossRefPubMed
8.
9.
go back to reference Huang Y, Jiang W, Wang Y, Zheng Y, Cong Q, Xu C. Enhanced efficacy and specificity of epithelial ovarian carcinogenesis by embedding a DMBA-coated cloth strip in the ovary of rat. J Ovarian Res. 2012;5:21–8.CrossRefPubMedPubMedCentral Huang Y, Jiang W, Wang Y, Zheng Y, Cong Q, Xu C. Enhanced efficacy and specificity of epithelial ovarian carcinogenesis by embedding a DMBA-coated cloth strip in the ovary of rat. J Ovarian Res. 2012;5:21–8.CrossRefPubMedPubMedCentral
10.
go back to reference Tofts PS, Brix G, Buckley DL, Evelhoch JL, Henderson E, Knopp MV, et al. Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging. 1999;10:223–32.CrossRefPubMed Tofts PS, Brix G, Buckley DL, Evelhoch JL, Henderson E, Knopp MV, et al. Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging. 1999;10:223–32.CrossRefPubMed
11.
go back to reference Gupta R, Moupachi SS, Poorey VK. Sinonasal masses: a retrospective analysis. Indian J Otolaryngol Head Neck Surg. 2013;65:52–6.CrossRefPubMed Gupta R, Moupachi SS, Poorey VK. Sinonasal masses: a retrospective analysis. Indian J Otolaryngol Head Neck Surg. 2013;65:52–6.CrossRefPubMed
12.
go back to reference Thomassin-Naggara I, Daraï E, Cuenod CA, Rouzier R, Callard P, Bazot M. Dynamic contrast-enhanced magnetic resonance imaging: a useful tool for characterizing ovarian epithelial tumors. J Magn Reson Imaging. 2008;28:111–20.CrossRefPubMed Thomassin-Naggara I, Daraï E, Cuenod CA, Rouzier R, Callard P, Bazot M. Dynamic contrast-enhanced magnetic resonance imaging: a useful tool for characterizing ovarian epithelial tumors. J Magn Reson Imaging. 2008;28:111–20.CrossRefPubMed
14.
15.
go back to reference Bamias A, Sotiropoulou M, Zagouri F, Trachana P, Sakellariou K, Kostouros E, et al. Prognostic evaluation of tumour type and other histopathological characteristics in advanced epithelial ovarian cancer, treated with surgery and paclitaxel/carboplatin chemotherapy: cell type is the most useful prognostic factor. Eur J Cancer. 2012;48:1476–83.CrossRefPubMed Bamias A, Sotiropoulou M, Zagouri F, Trachana P, Sakellariou K, Kostouros E, et al. Prognostic evaluation of tumour type and other histopathological characteristics in advanced epithelial ovarian cancer, treated with surgery and paclitaxel/carboplatin chemotherapy: cell type is the most useful prognostic factor. Eur J Cancer. 2012;48:1476–83.CrossRefPubMed
16.
go back to reference Yi H, Ye J, Yang XM, Zhang LW, Zhang ZG, Chen YP. High-grade ovarian cancer secreting effective exosomes in tumor angiogenesis. Int J Clin Exp Pathol. 2015;8:5062–70.PubMedPubMedCentral Yi H, Ye J, Yang XM, Zhang LW, Zhang ZG, Chen YP. High-grade ovarian cancer secreting effective exosomes in tumor angiogenesis. Int J Clin Exp Pathol. 2015;8:5062–70.PubMedPubMedCentral
17.
go back to reference Mikalsen LT, Dhakal HP, Bruland OS, Nesland JM, Olsen DR. Quantification of angiogenesis in breast cancer by automated vessel identification in CD34 immunohistochemical sections. Anticancer Res. 2011;31:4053–60.PubMed Mikalsen LT, Dhakal HP, Bruland OS, Nesland JM, Olsen DR. Quantification of angiogenesis in breast cancer by automated vessel identification in CD34 immunohistochemical sections. Anticancer Res. 2011;31:4053–60.PubMed
18.
19.
go back to reference Thomas LN, Chedrawe ER, Barnes PJ, Too CK. Prolactin/androgen-inducible carboxypeptidase-D increases with nitrotyrosine and Ki67 for breast cancer progression in vivo, and upregulates progression markers VEGF-C and Runx2 in vitro. Breast Cancer Res Treat. 2017;164:27–40.CrossRefPubMed Thomas LN, Chedrawe ER, Barnes PJ, Too CK. Prolactin/androgen-inducible carboxypeptidase-D increases with nitrotyrosine and Ki67 for breast cancer progression in vivo, and upregulates progression markers VEGF-C and Runx2 in vitro. Breast Cancer Res Treat. 2017;164:27–40.CrossRefPubMed
20.
go back to reference Morgado M, Sutton MN, Simmons M, Warren CR, Lu Z, Constantinou PE, et al. Tumor necrosis factor-α and interferon-γ stimulate MUC16 (CA125) expression in breast, endometrial and ovarian cancers through NFκB. Oncotarget. 2016;7:14871–84.CrossRefPubMedPubMedCentral Morgado M, Sutton MN, Simmons M, Warren CR, Lu Z, Constantinou PE, et al. Tumor necrosis factor-α and interferon-γ stimulate MUC16 (CA125) expression in breast, endometrial and ovarian cancers through NFκB. Oncotarget. 2016;7:14871–84.CrossRefPubMedPubMedCentral
21.
go back to reference Zhang Y, Xu Y, Ma J, Pang X, Dong M. Adrenomedullin promotes angiogenesis in epithelial ovarian cancer through upregulating hypoxia-inducible factor-1α and vascular endothelial growth factor. Sci Rep. 2017;7:40524–32.CrossRefPubMedPubMedCentral Zhang Y, Xu Y, Ma J, Pang X, Dong M. Adrenomedullin promotes angiogenesis in epithelial ovarian cancer through upregulating hypoxia-inducible factor-1α and vascular endothelial growth factor. Sci Rep. 2017;7:40524–32.CrossRefPubMedPubMedCentral
22.
go back to reference Dai Y, Jiang J, Wang Y, Jin Z, Hu S. The correlation and clinical implication of VEGF-C expression in microvascular density and lymph node metastasis of gastric carcinoma. Am J Transl Res. 2016;8:5741–7.PubMedPubMedCentral Dai Y, Jiang J, Wang Y, Jin Z, Hu S. The correlation and clinical implication of VEGF-C expression in microvascular density and lymph node metastasis of gastric carcinoma. Am J Transl Res. 2016;8:5741–7.PubMedPubMedCentral
23.
go back to reference Zhou D, Cheng SQ, Ji HF, Wang JS, Xu HT, Zhang GQ, et al. Evaluation of protein pigment epithelium-derived factor (PEDF) and microvessel density (MVD) as prognostic indicators in breast cancer. J Cancer Res Clin Oncol. 2010;136:1719–27.CrossRefPubMed Zhou D, Cheng SQ, Ji HF, Wang JS, Xu HT, Zhang GQ, et al. Evaluation of protein pigment epithelium-derived factor (PEDF) and microvessel density (MVD) as prognostic indicators in breast cancer. J Cancer Res Clin Oncol. 2010;136:1719–27.CrossRefPubMed
24.
go back to reference Liu P, Sun YL, Du J, Hou XS, Meng H. CD105/Ki67 coexpression correlates with tumor progression and poor prognosis in epithelial ovarian cancer. Int J Gynecol Cancer. 2012;22:586–92.CrossRefPubMed Liu P, Sun YL, Du J, Hou XS, Meng H. CD105/Ki67 coexpression correlates with tumor progression and poor prognosis in epithelial ovarian cancer. Int J Gynecol Cancer. 2012;22:586–92.CrossRefPubMed
25.
go back to reference Pelissier A, Roulot A, Guéry B, Bonneau C, Bellet D, Rouzier R. Serum CA125 and HE4 levels as predictors for optimal interval surgery and platinum sensitivity after neoadjuvant platinum-based chemotherapy in patients with advanced epithelial ovarian cancer. J Ovarian Res. 2016;9:61–6.CrossRefPubMedPubMedCentral Pelissier A, Roulot A, Guéry B, Bonneau C, Bellet D, Rouzier R. Serum CA125 and HE4 levels as predictors for optimal interval surgery and platinum sensitivity after neoadjuvant platinum-based chemotherapy in patients with advanced epithelial ovarian cancer. J Ovarian Res. 2016;9:61–6.CrossRefPubMedPubMedCentral
26.
go back to reference Li X, Hu JL, Zhu LM, Sun XH, Sheng HQ, Zhai N, et al. The clinical value of dynamic contrast-enhanced MRI in differential diagnosis of malignant and benign ovarian lesions. Tumour Biol. 2015;36:5515–22.CrossRefPubMed Li X, Hu JL, Zhu LM, Sun XH, Sheng HQ, Zhai N, et al. The clinical value of dynamic contrast-enhanced MRI in differential diagnosis of malignant and benign ovarian lesions. Tumour Biol. 2015;36:5515–22.CrossRefPubMed
27.
go back to reference Türkbey B, Thomasson D, Pang Y, Bernardo M, Choyke PL. The role of dynamic contrast-enhanced MRI in cancer diagnosis and treatment. Diagn Interv Radiol. 2010;16:186–92.PubMed Türkbey B, Thomasson D, Pang Y, Bernardo M, Choyke PL. The role of dynamic contrast-enhanced MRI in cancer diagnosis and treatment. Diagn Interv Radiol. 2010;16:186–92.PubMed
28.
go back to reference Ren J, Huan Y, Wang H, Chang YJ, Zhao HT, Ge YL, et al. Dynamic contrast-enhanced MRI of benign prostatic hyperplasia and prostatic carcinoma: correlation with angiogenesis. Clin Radiol. 2008;63:153–9.CrossRefPubMed Ren J, Huan Y, Wang H, Chang YJ, Zhao HT, Ge YL, et al. Dynamic contrast-enhanced MRI of benign prostatic hyperplasia and prostatic carcinoma: correlation with angiogenesis. Clin Radiol. 2008;63:153–9.CrossRefPubMed
29.
go back to reference Li HM, Qiang JW, Xia GL, Zhao SH, Ma FH, Cai SQ, et al. MRI for differentiating ovarian endometrioid adenocarcinoma from high-grade serous adenocarcinoma. J Ovarian Res. 2015;8:26–33.CrossRefPubMedPubMedCentral Li HM, Qiang JW, Xia GL, Zhao SH, Ma FH, Cai SQ, et al. MRI for differentiating ovarian endometrioid adenocarcinoma from high-grade serous adenocarcinoma. J Ovarian Res. 2015;8:26–33.CrossRefPubMedPubMedCentral
30.
go back to reference Yao WW, Zhang H, Ding B, Fu T, Jia H, Pang L, et al. Rectal cancer: 3D dynamic contrast-enhanced MRI; correlation with microvascular density and clinicopathological features. Radiol Med. 2011;116:366–74.CrossRefPubMed Yao WW, Zhang H, Ding B, Fu T, Jia H, Pang L, et al. Rectal cancer: 3D dynamic contrast-enhanced MRI; correlation with microvascular density and clinicopathological features. Radiol Med. 2011;116:366–74.CrossRefPubMed
31.
go back to reference Ahn SJ, An CS, Koom WS, Song HT, Suh JS. Correlations of 3T DCE-MRI quantitative parameters with microvessel density in a human-colorectal-cancer xenograft mouse model. Korean J Radiol. 2011;12:722–30.CrossRefPubMedPubMedCentral Ahn SJ, An CS, Koom WS, Song HT, Suh JS. Correlations of 3T DCE-MRI quantitative parameters with microvessel density in a human-colorectal-cancer xenograft mouse model. Korean J Radiol. 2011;12:722–30.CrossRefPubMedPubMedCentral
32.
go back to reference Hirashima Y, Yamada Y, Tateishi U, Kato K, Miyake M, et al. Pharmacokinetic parameters from 3-Tesla DCE-MRI as surrogate biomarkers of antitumor effects of bevacizumab plus FOLFIRI in colorectal cancer with liver metastasis. Int J Cancer. 2012;130:2359–65.CrossRefPubMed Hirashima Y, Yamada Y, Tateishi U, Kato K, Miyake M, et al. Pharmacokinetic parameters from 3-Tesla DCE-MRI as surrogate biomarkers of antitumor effects of bevacizumab plus FOLFIRI in colorectal cancer with liver metastasis. Int J Cancer. 2012;130:2359–65.CrossRefPubMed
Metadata
Title
The value of DCE-MRI in assessing histopathological and molecular biological features in induced rat epithelial ovarian carcinomas
Authors
Su Juan Yuan
Tian Kui Qiao
Jin Wei Qiang
Song Qi Cai
Ruo Kun Li
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Journal of Ovarian Research / Issue 1/2017
Electronic ISSN: 1757-2215
DOI
https://doi.org/10.1186/s13048-017-0362-z

Other articles of this Issue 1/2017

Journal of Ovarian Research 1/2017 Go to the issue