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).”

Molecular Imaging:

What ? Why ? How ?

Positron Emission Tomography

Functional MRI

Integration

imaging information (PET-MRI)

 

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

Radiolabeled biomarkers (peptides)

Ga68-labeling

The Ultimate Goal of Molecular Imaging

Patient tailored medicine

To adapt the treatment to the patient specific characteristics

» »

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

To adapt the treatment to the patient specific characteristics

Early treatment response assessment

Predicting treatment response

Ithier Project Study Aim

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

» »

predicting Herceptine treatment Radiolabeled trastuzumab (Zirconium-89 ? )

Hormone receptor imaging

»

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