Literature DB >> 29859790

DCE-MRI-Derived Measures of Tumor Hypoxia and Interstitial Fluid Pressure Predict Outcomes in Cervical Carcinoma.

Trude G Simonsen1, Kjersti V Lund2, Tord Hompland1, Gunnar B Kristensen3, Einar K Rofstad4.   

Abstract

PURPOSE: The poor outcome of locally advanced cervical cancer has been associated with extensive hypoxia and high interstitial fluid pressure (IFP) in the primary tumor. In the present study, measures of tumor hypoxia and IFP were provided using dynamic contrast-enhanced (DCE)-magnetic resonance imaging (MRI) and related to the treatment outcomes. METHODS AND MATERIALS: The data from 54 cervical cancer patients treated with concurrent cisplatin-based chemoradiotherapy were studied. A low-enhancing tumor volume (LETV) and peritumoral fluid flow velocity (v0) were used as measures of tumor hypoxia and IFP, respectively.
RESULTS: Poor disease-free survival and overall survival were associated with large LETV and high v0. The multivariate analysis results suggested that the prognostic power of v0 and LETV is independent of established clinical prognostic factors and that the prognostic power of v0 is strong compared with that of LETV. The outcomes was especially poor for patients with a high v0 combined with a large LETV and especially good for those with a low v0 combined with a small LETV, with 5-year disease-free survival and overall survival of 13% versus 100%, respectively.
CONCLUSIONS: The outcome of locally advanced cervical carcinoma seems to be influenced strongly by the tumor IFP and to a lesser extent by tumor hypoxia. DCE-MRI might have the power to provide important biomarkers for the outcome of cervical cancer.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29859790     DOI: 10.1016/j.ijrobp.2018.04.035

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  7 in total

1.  How Tumor Cells Can Make Use of Interstitial Fluid Flow in a Strategy for Metastasis.

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Journal:  Cell Mol Bioeng       Date:  2019-03-27       Impact factor: 2.321

2.  Intratumor Heterogeneity in Interstitial Fluid Pressure in Cervical and Pancreatic Carcinoma Xenografts.

Authors:  Lise Mari K Hansem; Ruixia Huang; Catherine S Wegner; Trude G Simonsen; Jon-Vidar Gaustad; Anette Hauge; Einar K Rofstad
Journal:  Transl Oncol       Date:  2019-06-04       Impact factor: 4.243

3.  Tumor Microenvironment Modifications Recorded With IVIM Perfusion Analysis and DCE-MRI After Neoadjuvant Radiotherapy: A Preclinical Study.

Authors:  François Lallemand; Natacha Leroi; Silvia Blacher; Mohamed Ali Bahri; Evelyne Balteau; Philippe Coucke; Agnès Noël; Alain Plenevaux; Philippe Martinive
Journal:  Front Oncol       Date:  2021-12-21       Impact factor: 6.244

4.  Targeting self-assembled F127-peptide polymer with pH sensitivity for release of anticancer drugs.

Authors:  Wenzhao Han; Fanwei Meng; Hao Gan; Feng Guo; Junfeng Ke; Liping Wang
Journal:  RSC Adv       Date:  2021-01-05       Impact factor: 3.361

Review 5.  The Role of Imaging Biomarkers to Guide Pharmacological Interventions Targeting Tumor Hypoxia.

Authors:  Bernard Gallez
Journal:  Front Pharmacol       Date:  2022-07-15       Impact factor: 5.988

6.  Computational Modeling of Interstitial Fluid Pressure and Velocity in Head and Neck Cancer Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging: Feasibility Analysis.

Authors:  Eve LoCastro; Ramesh Paudyal; Yousef Mazaheri; Vaios Hatzoglou; Jung Hun Oh; Yonggang Lu; Amaresha Shridhar Konar; Kira Vom Eigen; Alan Ho; James R Ewing; Nancy Lee; Joseph O Deasy; Amita Shukla-Dave
Journal:  Tomography       Date:  2020-06

7.  Computational Modeling of Interstitial Fluid Pressure and Velocity in Non-small Cell Lung Cancer Brain Metastases Treated With Stereotactic Radiosurgery.

Authors:  Nathaniel Swinburne; Eve LoCastro; Ramesh Paudyal; Jung Hun Oh; Neil K Taunk; Akash Shah; Kathryn Beal; Behroze Vachha; Robert J Young; Andrei I Holodny; Amita Shukla-Dave; Vaios Hatzoglou
Journal:  Front Neurol       Date:  2020-05-28       Impact factor: 4.003

  7 in total

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