Literature DB >> 21780098

Pharmacokinetic parameters from 3-Tesla DCE-MRI as surrogate biomarkers of antitumor effects of bevacizumab plus FOLFIRI in colorectal cancer with liver metastasis.

Yoshinori Hirashima1, Yasuhide Yamada, Ukihide Tateishi, Ken Kato, Mototaka Miyake, Yosuke Horita, Kohei Akiyoshi, Atsuo Takashima, Natsuko Okita, Daisuke Takahari, Takako Nakajima, Tetsuya Hamaguchi, Yasuhiro Shimada, Kuniaki Shirao.   

Abstract

Bevacizumab (BV) is an antivascular endothelial growth factor antibody. When administered with other chemotherapeutic drugs, BV-combined regimens prolong survival of colorectal cancer patients. We conducted a phase II trial to confirm the pharmacokinetic parameters from 3-Tesla dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) as surrogate biomarkers of BV + FOLFIRI regimen efficacy in colorectal cancer with liver metastases. DCE-MRI was performed before treatment, on the seventh day after first treatment and every 8 weeks thereafter using a 3-Tesla MRI system. DCE-MRI parameters-area under the contrast concentration versus time curve at 90 and 180 s (AUC90 and AUC180, respectively) after contrast injection, and volume transfer constant of contrast agents (K(trans) and K(ep) ) were calculated from liver metastases. Fifty-eight liver metastases were analyzed. Univariate analysis revealed that a decrease in K(trans) ratios (ΔK(trans) ), K(ep) ratios (ΔK(ep) ), AUC90 ratios (ΔAUC90) and AUC180 ratios (ΔAUC180) correlated with higher response (all p < 0.0001) and longer time to progression (TTP) (ΔK(trans) : p = 0.001; ΔK(ep) : p = 0.004; ΔAUC90: p = 0.006; ΔAUC180: p < 0.0001). Multivariate analysis showed that ΔAUC180 was correlated with higher response (p = 0.009), and ΔK(trans) and ΔAUC180 were correlated with longer TTP (ΔK(trans) : p = 0.001; ΔAUC180: p = 0.024). ΔK(trans) and ΔAUC180 are pharmacodynamic biomarkers of the blood perfusion of BV + FOLFIRI. Our data suggest that ΔK(trans) and ΔK(ep) can predict response to chemotherapy at 1 week. Changes in 3-Tesla DCE-MRI parameters confirmed the potential of these biomarkers of blood perfusion as surrogate predictors of response and TTP.
Copyright © 2011 UICC.

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Year:  2011        PMID: 21780098     DOI: 10.1002/ijc.26282

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  25 in total

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Authors:  Jian-Feng Yang; Zhen-Hua Zhao; Yu Zhang; Li Zhao; Li-Ming Yang; Min-Ming Zhang; Bo-Yin Wang; Ting Wang; Bao-Chun Lu
Journal:  World J Gastroenterol       Date:  2016-04-07       Impact factor: 5.742

2.  Texture features of colorectal liver metastases on pretreatment contrast-enhanced CT may predict response and prognosis in patients treated with bevacizumab-containing chemotherapy: a pilot study including comparison with standard chemotherapy.

Authors:  Marco Ravanelli; Giorgio Maria Agazzi; Elena Tononcelli; Elisa Roca; Paolo Cabassa; Gianluca Baiocchi; Alfredo Berruti; Roberto Maroldi; Davide Farina
Journal:  Radiol Med       Date:  2019-06-06       Impact factor: 3.469

3.  Changes in hepatic perfusion assessed by dynamic contrast enhanced MRI, associated with morphologic evaluation, in patients with liver metastases from colorectal cancer treated with first-line chemotherapy.

Authors:  Marco Tampellini; Dario Gned; Chiara Baratelli; Maria Pia Brizzi; Azzurra Ottone; Irene Alabiso; Chiara Bertaggia; Massimo Di Maio; Giorgio Vittorio Scagliotti; Andrea Veltri
Journal:  Radiol Med       Date:  2016-09-06       Impact factor: 3.469

4.  Dynamic contrast enhanced MR imaging for evaluation of angiogenesis of hepatocellular nodules in liver cirrhosis in N-nitrosodiethylamine induced rat model.

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7.  Monitoring the effects of bevacizumab beyond progression in a murine colorectal cancer model: a functional imaging approach.

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9.  Trastuzumab improves tumor perfusion and vascular delivery of cytotoxic therapy in a murine model of HER2+ breast cancer: preliminary results.

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Journal:  Breast Cancer Res Treat       Date:  2016-01-20       Impact factor: 4.872

Review 10.  The use of molecular imaging combined with genomic techniques to understand the heterogeneity in cancer metastasis.

Authors:  R Chowdhury; B Ganeshan; S Irshad; K Lawler; M Eisenblätter; H Milewicz; M Rodriguez-Justo; K Miles; P Ellis; A Groves; S Punwani; T Ng
Journal:  Br J Radiol       Date:  2014-03-06       Impact factor: 3.039

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