Material and Methods - Institut Jules Bordet

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Transcript Material and Methods - Institut Jules Bordet

Patrick Flamen, MD, PhD Jules Bordet Instituut Free University Brussels (ULB)

“Integrated Molecular Imaging in Oncology using PET-CT (radiolabeled peptides) and MRI (DCE MRI and MRS).”

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Molecular Imaging:

What ? Why ? How ?

Positron Emission Tomography

Functional MRI

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Integration

imaging information (PET-MRI)

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translational and clinical research activities Clinical team (nuc med / functional radiology)

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Radiolabeled biomarkers (peptides)

Ga68-labeling

The Ultimate Goal of Molecular Imaging

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Patient tailored medicine

To adapt the treatment to the patient specific characteristics

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From : one treatment for all To: one patient one treatment This requires the knowledge of the underlying molecular defects of the cancer

+++ Multidisciplinarité +++

Networking > ULB (équipe cyclotron Erasme) > Européen (Munich / Amsterdam)

X-rays CT

Spectrum of Medical imaging

Radiology Nuclear Medicine MRI Echography PET SPECT STRUCTURAL / MORPHOLOGICAL METABOLIC / MOLECULAR

Imagerie Métabolique Caractérisation Métabolique du Nodule Pulmonaire

CT PET adenocarcinoma fibronecrotic nodule

PET-CT the new standard Nuclear Oncology

PET/CT with FDG CT PET anatomy metabolism Fusion

Rectal Cancer Staging

Treatment Response Assessment

A B chimiothérapie Baseline PET-CT PET-CT after 2 weeks chemo

Functional MRI : brain tumor

- (B) difusion-weighted imaging - (D&E) MR spectrometry

Structural Imaging

Anatomy; morphology; density

Functional Imaging

Perfusion; blood flow; contractility

Metabolic Imaging

Glucose ; amino acids consumption

Molecular Imaging

Receptor expression; enzymatic activity gene expression; DNA

Integrated Imaging PET-CT Metabolic / Molecular + Structural MULTIMODALITY IMAGING PET-MRI Metabolic / Molecular / Functional MULTIFUNCTIONAL IMAGING

WHY ? Patient tailored medicine

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To adapt the treatment to the patient specific characteristics

Early treatment response assessment

Predicting treatment response

Ithier Project Study Aim

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Early treatment response assessment

Imaging response to Imatinib

43 HU 30 HU Pre-Treatment 2 Months Post

Imaging Response to Glivec

Dr. S. Stroobants et al. (Eur J Cancer 2003) PFS according PET response 8 days after start of treatment 0 PET responders PET non-responders o o P < 0.001

Stroobants et al. Eur J Cancer 2003

Functional Imaging to Evaluate Response to Lapatinib

baseline lapatinib at surgery

Cristofanilli M, et al. Breast Cancer Res Treat. 2006;100 Supp 1:S5

Functional MRI for Early Response measurement M Lemort, Bordet, 2008

V Huyge, 2008 ASCO

Assessment of response adjuvant chemotherapy in Metastatic breast cancer

Du et al. J Clin Oncol. 2007 Aug 10;25(23):3440-7

Bone Metastatic Breast Cancer V Huyge, 2008 ASCO

PET response is related to treatment outcome PET non responders PET responders V Huyge, 2008 ASCO

Ithier Project Study Aim Predicting response to a targeted treatment By means of the identification the molecular target of the drug Examples:

her2/neu breast cancer receptor imaging

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predicting Herceptine treatment Radiolabeled trastuzumab (Zirconium-89 ? )

Hormone receptor imaging

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predicting response to anti-hormonal treatment

FDG-PET/CT pré-traitement; Récidive de lymphome.

immuno-PET/CT; dosimétrie avec anticorps marqués au Zr89 pré traitment.

FDG-PET/CT 6 mois après traitement par radioimmunothérapie avec anticorps marqués à l’Y90; rémission complète.

FDG-PET immuno-PET FDG response-PET

K Muylle, 2008, Lugano

Ithier 2008 Ga68 –labeled markers PET-CT for Molecular Imaging example: Ga68-DOTA-octreotide > neuro-endocrine tumors (staging) > breast cancer (related to ER expression) > prostate cancer

GENERATOR PRODUCED PET TRACERS Ge68-Ga68 generator Biosynthesis Ga68-DOTA-Toc (octreotide) Labeling SSR subtypes 2-5

Retroperitoneal metastatic LN

Retroperitoneal metastatic LN 11 mm largest diameter

Biosynthesis Module coupled to the Ga68-generator

Automated production Laptop directed Quality Controll GMP Ithier Project 2008 : Ga68-radiolabeled proteins for molecular cancer imaging

Thanks