Proton MR Spectroscopy and Diffusion MR Imaging Monitoring to Predict Tumor Response to Interstitial Photodynamic Therapy for Glioblastoma

Despite recent progress in conventional therapeutic approaches, the vast majority of glioblastoma recur locally, indicating that a more aggressive local therapy is required. Interstitial photodynamic therapy (iPDT) appears as a very promising and complementary approach to conventional therapies. However, an optimal fractionation scheme for iPDT remains the indispensable requirement. To achieve that major goal, we suggested following iPDT tumor response by a non-invasive imaging monitoring. Nude rats bearing intracranial glioblastoma U87MG xenografts were treated by iPDT, just after intravenous injection of AGuIX® nanoparticles, encapsulating PDT and imaging agents. Magnetic Resonance Imaging (MRI) and Magnetic Resonance Spectroscopy (MRS) allowed us an original longitudinal follow-up of post-treatment effects to discriminate early predictive markers. We successfully used conventional MRI, T2 star (T2*), Diffusion Weighted Imaging (DWI) and MRS to extract relevant profiles on tissue cytoarchitectural alterations, local vascular disruption and metabolic information on brain tumor biology, achieving earlier assessment of tumor response. From one day post-iPDT, DWI and MRS allowed us to identify promising markers such as the Apparent Diffusion Coefficient (ADC) values, lipids, choline and myoInositol levels that led us to distinguish iPDT responders from non-responders. All these responses give us warning signs well before the tumor escapes and that the growth would be appreciated.

[1]  Soonmee Cha,et al.  Modern Brain Tumor Imaging , 2015, Brain tumor research and treatment.

[2]  P. Perriat,et al.  Multifunctional ultrasmall nanoplatforms for vascular-targeted interstitial photodynamic therapy of brain tumors guided by real-time MRI. , 2015, Nanomedicine : nanotechnology, biology, and medicine.

[3]  E. Bullinger,et al.  A Model-Based Pharmacokinetics Characterization Method of Engineered Nanoparticles for Pilot Studies , 2015, IEEE Transactions on NanoBioscience.

[4]  Peiou Lu,et al.  Evaluation of the Diagnostic Performance of Magnetic Resonance Spectroscopy in Brain Tumors: A Systematic Review and Meta-Analysis , 2014, PloS one.

[5]  C. Wahlestedt,et al.  Emerging treatment strategies for glioblastoma multiforme , 2014, EMBO molecular medicine.

[6]  B. Rosen,et al.  Advanced magnetic resonance imaging of the physical processes in human glioblastoma. , 2014, Cancer research.

[7]  P. Perriat,et al.  Advantages of gadolinium based ultrasmall nanoparticles vs molecular gadolinium chelates for radiotherapy guided by MRI for glioma treatment , 2014, Cancer Nanotechnology.

[8]  Denis Le Bihan,et al.  Diffusion MRI: what water tells us about the brain , 2014, EMBO molecular medicine.

[9]  François Guillemin,et al.  Photodynamic therapy of malignant brain tumours: a complementary approach to conventional therapies. , 2014, Cancer treatment reviews.

[10]  Christopher P. Hess,et al.  Susceptibility-weighted MR imaging of radiation therapy-induced cerebral microbleeds in patients with glioma: a comparison between 3T and 7T , 2014, Neuroradiology.

[11]  D. Quail,et al.  Microenvironmental regulation of tumor progression and metastasis , 2014 .

[12]  Hsiao-Wen Chung,et al.  Advanced MR Imaging of Gliomas: An Update , 2013, BioMed research international.

[13]  K. Moghissi,et al.  Photodynamic Therapy (PDT): PDT Mechanisms , 2013, Clinical endoscopy.

[14]  O. Tillement,et al.  Multifunctional Peptide-Conjugated Hybrid Silica Nanoparticles for Photodynamic Therapy and MRI , 2012, Theranostics.

[15]  A G Sorensen,et al.  Pseudoprogression and Pseudoresponse: Imaging Challenges in the Assessment of Posttreatment Glioma , 2011, American Journal of Neuroradiology.

[16]  G. Rosenberg,et al.  Blood-brain barrier breakdown in acute and chronic cerebrovascular disease. , 2011, Stroke.

[17]  H. Feng,et al.  Photodynamic therapy boosts anti‐glioma immunity in mice: A dependence on the activities of T cells and complement C3 , 2011, Journal of cellular biochemistry.

[18]  Michael R Hamblin,et al.  Cell Death Pathways in Photodynamic Therapy of Cancer , 2011, Cancers.

[19]  Benoît You,et al.  A model of vascular tumour growth in mice combining longitudinal tumour size data with histological biomarkers. , 2011, European journal of cancer.

[20]  B. Bobek-Billewicz,et al.  Differentiation between brain tumor recurrence and radiation injury using perfusion, diffusion-weighted imaging and MR spectroscopy. , 2010, Folia neuropathologica.

[21]  T Bastogne,et al.  Phenomenological modeling of tumor diameter growth based on a mixed effects model. , 2010, Journal of theoretical biology.

[22]  F. Guillemin,et al.  Neuropilin-1 Targeting Photosensitization-Induced Early Stages of Thrombosis via Tissue Factor Release , 2010, Pharmaceutical Research.

[23]  Zenon Starčuk,et al.  Quantitation of magnetic resonance spectroscopy signals: the jMRUI software package , 2009 .

[24]  F. Guillemin,et al.  Response surface methodology: an extensive potential to optimize in vivo photodynamic therapy conditions. , 2009, International journal of radiation oncology, biology, physics.

[25]  P. Sundgren MR Spectroscopy in Radiation Injury , 2009, American Journal of Neuroradiology.

[26]  François Guillemin,et al.  Monte Carlo modeling of multilayer phantoms with multiple fluorophores: simulation algorithm and experimental validation. , 2009, Journal of biomedical optics.

[27]  F. Howe,et al.  Taurine: a potential marker of apoptosis in gliomas , 2009, British Journal of Cancer.

[28]  P. Choyke,et al.  Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. , 2009, Neoplasia.

[29]  L. Shen,et al.  Apparent diffusion coefficient: potential imaging biomarker for prediction and early detection of response to chemotherapy in hepatic metastases. , 2008, Radiology.

[30]  David J Collins,et al.  Technology Insight: water diffusion MRI—a potential new biomarker of response to cancer therapy , 2008, Nature Clinical Practice Oncology.

[31]  Jochen Herms,et al.  Long-sustaining response in a patient with non-resectable, distant recurrence of glioblastoma multiforme treated by interstitial photodynamic therapy using 5-ALA: case report , 2008, Journal of Neuro-Oncology.

[32]  Luc Taillandier,et al.  Computational modeling of the WHO grade II glioma dynamics: principles and applications to management paradigm , 2008, Neurosurgical Review.

[33]  Loukas G Astrakas,et al.  Predicting survival of children with CNS tumors using proton magnetic resonance spectroscopic imaging biomarkers. , 2007, International journal of oncology.

[34]  Mauricio Castillo,et al.  Clinical role of proton magnetic resonance spectroscopy in oncology: brain, breast, and prostate cancer. , 2006, The Lancet. Oncology.

[35]  Guido Gerig,et al.  User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.

[36]  F. Zanella,et al.  Fluorescence-guided surgery with 5-aminolevulinic acid for resection of malignant glioma: a randomised controlled multicentre phase III trial. , 2006, The Lancet. Oncology.

[37]  F. Guillemin,et al.  A peptide competing with VEGF165 binding on neuropilin-1 mediates targeting of a chlorin-type photosensitizer and potentiates its photodynamic activity in human endothelial cells. , 2006, Journal of controlled release : official journal of the Controlled Release Society.

[38]  Bradford A Moffat,et al.  Therapeutic Efficacy of DTI-015 using Diffusion Magnetic Resonance Imaging as an Early Surrogate Marker , 2004, Clinical Cancer Research.

[39]  Michal Neeman,et al.  Photodynamic therapy of established prostatic adenocarcinoma with TOOKAD: a biphasic apparent diffusion coefficient change as potential early MRI response marker. , 2004, Neoplasia.

[40]  Ying Lu,et al.  Survival analysis in patients with glioblastoma multiforme: Predictive value of choline‐to‐n‐acetylaspartate index, apparent diffusion coefficient, and relative cerebral blood volume , 2004, Journal of magnetic resonance imaging : JMRI.

[41]  C. Eskey,et al.  Diffusion-weighted imaging in the follow-up of treated high-grade gliomas: tumor recurrence versus radiation injury. , 2004, AJNR. American journal of neuroradiology.

[42]  D. Galanaud,et al.  Multimodal magnetic resonance imaging of the central nervous system. , 2003, Biochimie.

[43]  K. Hoang-Xuan,et al.  Recommendations for the management of adult patients with intracranial glioma ( 2002 ) , 2022 .

[44]  Roland Hustinx,et al.  Imaging gliomas with positron emission tomography and single-photon emission computed tomography. , 2003, Seminars in nuclear medicine.

[45]  Kunio Tanaka,et al.  In vivo single‐voxel proton MR spectroscopy in brain lesions with ring‐like enhancement , 2001, NMR in biomedicine.

[46]  R. de Beer,et al.  Java-based graphical user interface for MRUI, a software package for quantitation of in vivo/medical magnetic resonance spectroscopy signals , 2001, Comput. Biol. Medicine.

[47]  J. M. Taylor,et al.  Diffusion magnetic resonance imaging: an early surrogate marker of therapeutic efficacy in brain tumors. , 2000, Journal of the National Cancer Institute.

[48]  R. Gonzalez,et al.  Diffusion-weighted MR imaging of the brain. , 2000, Radiology.

[49]  Vanhamme,et al.  Improved method for accurate and efficient quantification of MRS data with use of prior knowledge , 1997, Journal of magnetic resonance.

[50]  H. Qian,et al.  Prognostic factor from MR spectroscopy in rat with astrocytic tumour during radiation therapy. , 2015, The British journal of radiology.

[51]  F. Ducray,et al.  [Advances in adults' gliomas biology, imaging and treatment]. , 2010, Bulletin du cancer.

[52]  Thomas Pongratz,et al.  ALA and malignant glioma: fluorescence-guided resection and photodynamic treatment. , 2007, Journal of environmental pathology, toxicology and oncology : official organ of the International Society for Environmental Toxicology and Cancer.

[53]  Henry Hirschberg,et al.  Influence of light fluence rate on the effects of photodynamic therapy in an orthotopic rat glioma model. , 2006, Journal of neurosurgery.

[54]  M E Meyerand,et al.  Classification of biopsy-confirmed brain tumors using single-voxel MR spectroscopy. , 1999, AJNR. American journal of neuroradiology.