Literature DB >> 28915312

DCE- and DW-MRI as early imaging biomarkers of treatment response in a preclinical model of triple negative breast cancer.

Stephanie L Barnes1,2, Anna G Sorace3,4, Jennifer G Whisenant5, J Oliver McIntyre5,6, Hakmook Kang7, Thomas E Yankeelov1,2,3,4.   

Abstract

This work evaluates quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted MRI (DW-MRI) parameters as early biomarkers of response in a preclinical model of triple negative breast cancer (TNBC). The standard Tofts' model of DCE-MRI returns estimates of the volume transfer constant (Ktrans ) and the extravascular extracellular volume fraction (ve ). DW-MRI returns estimates of the apparent diffusion coefficient (ADC). Mice (n = 38) were injected subcutaneously with MDA-MB-231. Tumors were grown to approximately 275 mm3 and sorted into the following groups: saline controls, low-dose Abraxane (15 mg/kg) and high-dose Abraxane (25 mg/kg). Animals were imaged at days zero, one and three. On day three, tumors were extracted for immunohistochemistry. The positive percentage change in ADC on day one was significantly higher in both treatment groups relative to the control group (p < 0.05). In addition, the positive percentage change in Ktrans was significantly higher than controls (p < 0.05) on day one for the high-dose group and on days one and three for the low-dose group. The percentage change in tumor volume was significantly different between the high-dose and control groups on day three (p = 0.006). Histology confirmed differences at day three through reduced numbers of proliferating cells (Ki67 staining) in the high-dose group (p = 0.03) and low-dose group (p = 0.052) compared with the control group. Co-immunofluorescent staining of vascular maturity [using von Willebrand Factor (vWF) and α-smooth muscle actin (α-SMA)] indicated significantly higher vascular maturation in the low-dose group compared with the controls on day three (p = 0.03), and trending towards significance in the high-dose group compared with controls on day three (p = 0.052). These results from quantitative imaging with histological validation indicate that ADC and Ktrans have the potential to serve as early biomarkers of treatment response in murine studies of TNBC.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  ADC; Abraxane; Ktrans; MDA-Mb-231; TNBC; ve

Mesh:

Substances:

Year:  2017        PMID: 28915312     DOI: 10.1002/nbm.3799

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  9 in total

1.  Calibrating a Predictive Model of Tumor Growth and Angiogenesis with Quantitative MRI.

Authors:  David A Hormuth; Angela M Jarrett; Xinzeng Feng; Thomas E Yankeelov
Journal:  Ann Biomed Eng       Date:  2019-04-08       Impact factor: 3.934

Review 2.  Mechanism-Based Modeling of Tumor Growth and Treatment Response Constrained by Multiparametric Imaging Data.

Authors:  David A Hormuth; Angela M Jarrett; Ernesto A B F Lima; Matthew T McKenna; David T Fuentes; Thomas E Yankeelov
Journal:  JCO Clin Cancer Inform       Date:  2019-02

3.  Prediction of Clinical Pathologic Prognostic Factors for Rectal Adenocarcinoma: Volumetric Texture Analysis Based on Apparent Diffusion Coefficient Maps.

Authors:  Zhihua Lu; Lei Wang; Kaijian Xia; Heng Jiang; Xiaoyan Weng; Jianlong Jiang; Mei Wu
Journal:  J Med Syst       Date:  2019-11-07       Impact factor: 4.460

4.  Fast magnetic resonance fingerprinting for dynamic contrast-enhanced studies in mice.

Authors:  Yuning Gu; Charlie Y Wang; Christian E Anderson; Yuchi Liu; He Hu; Mette L Johansen; Dan Ma; Yun Jiang; Ciro Ramos-Estebanez; Susann Brady-Kalnay; Mark A Griswold; Chris A Flask; Xin Yu
Journal:  Magn Reson Med       Date:  2018-05-09       Impact factor: 4.668

5.  Multiparametric Analysis of Longitudinal Quantitative MRI data to Identify Distinct Tumor Habitats in Preclinical Models of Breast Cancer.

Authors:  Anum K Syed; Jennifer G Whisenant; Stephanie L Barnes; Anna G Sorace; Thomas E Yankeelov
Journal:  Cancers (Basel)       Date:  2020-06-24       Impact factor: 6.639

6.  Test-Retest Performance of a 1-Hour Multiparametric MR Image Acquisition Pipeline With Orthotopic Triple-Negative Breast Cancer Patient-Derived Tumor Xenografts.

Authors:  Xia Ge; James D Quirk; John A Engelbach; G Larry Bretthorst; Shunqiang Li; Kooresh I Shoghi; Joel R Garbow; Joseph J H Ackerman
Journal:  Tomography       Date:  2019-09

Review 7.  Preclinical Molecular Imaging for Precision Medicine in Breast Cancer Mouse Models.

Authors:  M F Fiordelisi; L Auletta; L Meomartino; L Basso; G Fatone; M Salvatore; M Mancini; A Greco
Journal:  Contrast Media Mol Imaging       Date:  2019-09-22       Impact factor: 3.161

8.  Apparent diffusion coefficient for the prediction of tumor response to neoadjuvant chemo-radiotherapy in locally advanced rectal cancer.

Authors:  Mengjing Zhao; Lihao Zhao; Han Yang; Yuxia Duan; Gang Li
Journal:  Radiat Oncol       Date:  2021-01-20       Impact factor: 3.481

9.  Quantifying Tumor Heterogeneity via MRI Habitats to Characterize Microenvironmental Alterations in HER2+ Breast Cancer.

Authors:  Anum S Kazerouni; David A Hormuth; Tessa Davis; Meghan J Bloom; Sarah Mounho; Gibraan Rahman; John Virostko; Thomas E Yankeelov; Anna G Sorace
Journal:  Cancers (Basel)       Date:  2022-04-06       Impact factor: 6.639

  9 in total

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