Tumor treating fields in the management of Glioblastoma: opportunities for advanced imaging

被引:14
作者
Soni, Vikram S. [1 ]
Yanagihara, Ted K. [2 ]
机构
[1] New York Presbyterian Brooklyn Methodist Hosp, 506 Sixth St, Brooklyn, NY 11215 USA
[2] Univ N Carolina, 516 S Van Buren Rd, Eden, NC 27288 USA
关键词
Glioblastoma; Tumor treating fields; Biomarkers; Radiomics; RANDOMIZED PHASE-III; PHYSICIANS CHOICE CHEMOTHERAPY; ADJUVANT TEMOZOLOMIDE; RESPONSE ASSESSMENT; ELECTRIC-FIELDS; RECURRENCE; MULTIFORME; TTFIELDS; SURVIVAL; TRIAL;
D O I
10.1186/s40644-019-0259-8
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Alternating electric fields have been successfully applied to cancer cells in-vitro to disrupt malignant progression and this antimitotic therapy has now been proven to be efficacious in Phase II and Phase III randomized clinical trials of patients with glioblastoma. With additional clinical trials ongoing in a number of other malignancies, there is a crucial need for a better understanding of the radiographic predictors of response and standardization of surveillance imaging interpretation. However, many radiologists have yet to become familiarized with this emerging cancer therapy and there is little active investigation to develop prognostic or predictive imaging biomarkers. This article provides an overview of the pre-clinical data that elucidate the biologic mechanisms of alternating electric fields as a cancer therapy. Results from clinical trials in patients with glioblastoma are then reviewed while elaborating on the several limitations to adoption of this promising line of treatment. Finally, a proposal for the development of imaging markers as a means of overcoming some of these limitations is made, which may improve treatment utilization by augmenting patient selection not only in glioblastoma, but also other malignant conditions for which this therapy is currently being evaluated.
引用
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页数:11
相关论文
共 52 条
[1]   Imaging Surrogates of Infiltration Obtained Via Multiparametric Imaging Pattern Analysis Predict Subsequent Location of Recurrence of Glioblastoma [J].
Akbari, Hamed ;
Macyszyn, Luke ;
Da, Xiao ;
Bilello, Michel ;
Wolf, Ronald L. ;
Martinez-Lage, Maria ;
Biros, George ;
Alonso-Basanta, Michelle ;
O'Rourke, Donald M. ;
Davatzikos, Christos .
NEUROSURGERY, 2016, 78 (04) :572-580
[2]   Molecular-Based Recursive Partitioning Analysis Model for Glioblastoma in the Temozolomide Era A Correlative Analysis Based on NRG Oncology RTOG 0525 [J].
Bell, Erica Hlavin ;
Pugh, Stephanie L. ;
McElroy, Joseph P. ;
Gilbert, Mark R. ;
Mehta, Minesh ;
Klimowicz, Alexander C. ;
Magliocco, Anthony ;
Bredel, Markus ;
Robe, Pierre ;
Grosu, Anca-L. ;
Stupp, Roger ;
Curran, Walter, Jr. ;
Becker, Aline P. ;
Salavaggione, Andrea L. ;
Barnholtz-Sloan, Jill S. ;
Aldape, Kenneth ;
Blumenthal, Deborah T. ;
Brown, Paul D. ;
Glass, Jon ;
Souhami, Luis ;
Lee, Jeffrey ;
Brachman, David ;
Flickinger, John ;
Won, Minhee ;
Chakravarti, Arnab .
JAMA ONCOLOGY, 2017, 3 (06) :784-792
[3]   Multicenter phase II trial of temozolomide in patients with glioblastoma multiforme at first relapse [J].
Brada, M ;
Hoang-Xuan, K ;
Rampling, R ;
Dietrich, PY ;
Dirix, LY ;
Macdonald, D ;
Heimans, JJ ;
Zonnenberg, BA ;
Bravo-Marques, JM ;
Henriksson, R ;
Stupp, R ;
Yue, N ;
Bruner, J ;
Dugan, M ;
Rao, S ;
Zaknoen, S .
ANNALS OF ONCOLOGY, 2001, 12 (02) :259-266
[4]   The Somatic Genomic Landscape of Glioblastoma [J].
Brennan, Cameron W. ;
Verhaak, Roel G. W. ;
McKenna, Aaron ;
Campos, Benito ;
Noushmehr, Houtan ;
Salama, Sofie R. ;
Zheng, Siyuan ;
Chakravarty, Debyani ;
Sanborn, J. Zachary ;
Berman, Samuel H. ;
Beroukhim, Rameen ;
Bernard, Brady ;
Wu, Chang-Jiun ;
Genovese, Giannicola ;
Shmulevich, Ilya ;
Barnholtz-Sloan, Jill ;
Zou, Lihua ;
Vegesna, Rahulsimham ;
Shukla, Sachet A. ;
Ciriello, Giovanni ;
Yung, W. K. ;
Zhang, Wei ;
Sougnez, Carrie ;
Mikkelsen, Tom ;
Aldape, Kenneth ;
Bigner, Darell D. ;
Van Meir, Erwin G. ;
Prados, Michael ;
Sloan, Andrew ;
Black, Keith L. ;
Eschbacher, Jennifer ;
Finocchiaro, Gaetano ;
Friedman, William ;
Andrews, David W. ;
Guha, Abhijit ;
Iacocca, Mary ;
O'Neill, Brian P. ;
Foltz, Greg ;
Myers, Jerome ;
Weisenberger, Daniel J. ;
Penny, Robert ;
Kucherlapati, Raju ;
Perou, Charles M. ;
Hayes, D. Neil ;
Gibbs, Richard ;
Marra, Marco ;
Mills, Gordon B. ;
Lander, Eric ;
Spellman, Paul ;
Wilson, Richard .
CELL, 2013, 155 (02) :462-477
[5]   Use of FET PET in glioblastoma patients undergoing neurooncological treatment including tumour-treating fields: initial experience [J].
Ceccon, Garry ;
Lazaridis, Lazaros ;
Stoffels, Gabriele ;
Rapp, Marion ;
Weber, Manuel ;
Blau, Tobias ;
Lohmann, Phillip ;
Kebir, Sied ;
Herrmann, Ken ;
Fink, Gereon R. ;
Langen, Karl-Josef ;
Glas, Martin ;
Galldiks, Norbert .
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2018, 45 (09) :1626-1635
[6]   Predicting Glioblastoma Recurrence by Early Changes in the Apparent Diffusion Coefficient Value and Signal Intensity on FLAIR Images [J].
Chang, Peter D. ;
Chow, Daniel S. ;
Yang, Peter H. ;
Filippi, Christopher G. ;
Lignelli, Angela .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2017, 208 (01) :57-+
[7]   Temozolomide in the treatment of recurrent malignant glioma [J].
Chang, SM ;
Theodosopoulos, P ;
Lamborn, K ;
Malec, M ;
Rabbitt, J ;
Page, M ;
Prados, MD .
CANCER, 2004, 100 (03) :605-611
[8]   NovoTTF™-100A System (Tumor Treating Fields) transducer array layout planning for glioblastoma: a NovoTAL™ system user study [J].
Chaudhry, Aafia ;
Benson, Laura ;
Varshaver, Michael ;
Farber, Ori ;
Weinberg, Uri ;
Kirson, Eilon ;
Palti, Yoram .
WORLD JOURNAL OF SURGICAL ONCOLOGY, 2015, 13
[9]   Planning TTFields treatment using the NovoTAL system-clinical case series beyond the use of MRI contrast enhancement [J].
Connelly, Jennifer ;
Hormigo, Adilia ;
Mohilie, Nimish ;
Hu, Jethro ;
Chaudhry, Aafia ;
Blondin, Nicholas .
BMC CANCER, 2016, 16
[10]  
Connelly JM, 2017, NEURO-ONCOLOGY, V19, P157