predicting the response of cervical cancer to radiotherapy

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Department of Gynecologic oncology Frank Roossink Identification of hypermethylation based markers

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Predicting the response of cervical cancer to radiotherapy. Identification of hypermethylation based markers. Frank Roossink. Cervical cancer. Introduction Cervical cancer Epigenetics Chromatin structure DNA methylation Project Aim Hypothesis Gene Selection Biotrove MSP - PowerPoint PPT Presentation

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Page 1: Predicting the response of cervical cancer to radiotherapy

Department of Gynecologic oncology

Frank Roossink

Identification of hypermethylation based

markers

Page 2: Predicting the response of cervical cancer to radiotherapy

• The second most common malignancy among women world-wide. In the Netherlands 700 patients present with cervical cancer

each year. World-wide this number is 450,000 cases and 250,000 deaths.

• Disproportionally towards less developed countries.

21-04-23 Identification of RT response methylation markers in cervical cancer 2

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 3: Predicting the response of cervical cancer to radiotherapy

21-04-23 Identification of RT response methylation markers in cervical cancer 3

Data from Globocan (2002)Data from Globocan (2002)

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 4: Predicting the response of cervical cancer to radiotherapy

• The second most common malignancy among women world-wide. In the Netherlands 700 patients present with cervical cancer

each year. World-wide this number is 450,000 cases and 250,000 deaths.

• Disproportionally towards less developed countries.

• 99.7% of all cervical cancer patients are human papilloma virus(HPV) positive. (Waalbomers, 1999)

70% is due to infection with types HPV-16 and HPV-18.

21-04-23 Identification of RT response methylation markers in cervical cancer 4

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 5: Predicting the response of cervical cancer to radiotherapy

21-04-23 Identification of RT response methylation markers in cervical cancer 5

0.3%

0.5%

0.6%

0.7%

1.0%

1.2%

1.3%

1.4%

2.2%

2.3%

2.6%

2.9%

17.3%

53.5%

6.7%

Roden and Wu Roden and Wu Nature ReviewsNature Reviews (2006) (2006)

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 6: Predicting the response of cervical cancer to radiotherapy

• Cancer is a disease of the genes.

• Changes in expression patterns of genes are thought to be the cause for the development of cancer.

• In cervical cancer these changes in expression are thought to initiate with the establishment HPV infection.

21-04-23 Identification of RT response methylation markers in cervical cancer 7

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 7: Predicting the response of cervical cancer to radiotherapy

Dermis

Basal layerBasement membrane

Midzone

Superficial zone

Normal cervix Squamous Intraepithelial lesion (SIL)

Low grade High grade

Invasive cancerASCUS

HPV infection

Infectious HPV particles

80% clearance

Viral integration

E6/E7 deregulation

Proliferation

20% Lesions Genetic instability

Adapted from Snijders et alAdapted from Snijders et al. J. of pathology . J. of pathology (2006), Woodman et al. (2006), Woodman et al. Nature reviewsNature reviews (2007). (2007).

Page 8: Predicting the response of cervical cancer to radiotherapy

Dermis

Basal layerBasement membrane

Midzone

Superficial zone

Normal cervix Squamous Intraepithelial lesion (SIL)

Low grade High grade

Invasive cancerASCUS

-Loss of Chr. 6p-DR of MHC class I

Adapted from Snijders et alAdapted from Snijders et al. J. of pathology . J. of pathology (2006), Woodman et al. (2006), Woodman et al. Nature reviewsNature reviews (2007). (2007).

-Loss of Chr. 3p,4q, 6q and 10p-UR telomerase

-DR GATA-3

Immortalization

-Loss of Chr. 1-DR TSLC1

Invasion

Page 9: Predicting the response of cervical cancer to radiotherapy

• Cancer is a disease of the genes.

• Changes in expression patterns of genes are thought to be the cause to the development of cancer.

• In cervical cancer these changes in expression are thought to initiate with the establishment HPV infection.

• Changes in expression patterns can be due to genetic or epigenetic alterations.

21-04-23 Identification of RT response methylation markers in cervical cancer 10

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 10: Predicting the response of cervical cancer to radiotherapy

“The branch of biology which studies

the causal interactions between genes and their products which bring the phenotype into being”

C.H. Waddington, 1942

21-04-23 Identification of RT response methylation markers in cervical cancer 11

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 11: Predicting the response of cervical cancer to radiotherapy

21-04-23 Identification of RT response methylation markers in cervical cancer 12

Waddington (1948)Waddington (1948)

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 12: Predicting the response of cervical cancer to radiotherapy

“Heritable states of gene-expression that are not due to

alterations in the underlying DNA sequence itself.”

21-04-23 Identification of RT response methylation markers in cervical cancer 13

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 13: Predicting the response of cervical cancer to radiotherapy

21-04-23 Identification of RT response methylation markers in cervical cancer 14

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 14: Predicting the response of cervical cancer to radiotherapy

21-04-23 Identification of RT response methylation markers in cervical cancer 15

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

3.5x

DNA packaging:• Every mitotic cell has 23 pair chromosomes.

• Approximately 30,000 genes.• Approximately 2m DNA per cell.

• Each individual consists of 10 billion cells.• That means 500,000 trips around the equator or

3.5 trips from the Sun to Pluto.

Page 15: Predicting the response of cervical cancer to radiotherapy

21-04-23 Identification of RT response methylation markers in cervical cancer 16

Molecular biology of the cell, 4Molecular biology of the cell, 4thth edition edition

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 16: Predicting the response of cervical cancer to radiotherapy

30nm fiber“Beads on a string”

Histone tail modificationsDNA double helix

Adapted from: http://www.newscientist.com/data/images/archive/2386/23865001.jpgAdapted from: http://www.newscientist.com/data/images/archive/2386/23865001.jpgMolecular biology of the cell, 4Molecular biology of the cell, 4thth edition edition

Page 17: Predicting the response of cervical cancer to radiotherapy

21-04-23 Identification of RT response methylation markers in cervical cancer 18

REF!!!REF!!!

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 18: Predicting the response of cervical cancer to radiotherapy

Histone modifications

21-04-23 Identification of RT response methylation markers in cervical cancer 19

Latham et al. Latham et al. Nature Structural & Molecular Biology, 2007Nature Structural & Molecular Biology, 2007

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 19: Predicting the response of cervical cancer to radiotherapy

• DNA methylation occurs at the 5th position of a cytosine.

• Cytosine that precede Guanine can become methylated So-called CpG dinucleotides.

• Methylation is mediated by DNA methyl transferases (DNMTs) de novo methylation

• DNMT-3a and DNMT-3b Maintenance

• DNMT-1

21-04-23 Identification of RT response methylation markers in cervical cancer 20

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 20: Predicting the response of cervical cancer to radiotherapy

21

Frontal viewSide view

Adapted from O’Gara et al.J Mol Biol. 1996 Sep 6;261(5):634-45

Page 21: Predicting the response of cervical cancer to radiotherapy

Frontal view

Adapted from O’Gara et al.J Mol Biol. 1996 Sep 6;261(5):634-45

Page 22: Predicting the response of cervical cancer to radiotherapy

• CpG dinucleotides are often found in clusters. So-called CpG islands.

• CpG-island A region with at least 200bp A G-C percentage of >50% CpG-ratio Obs-Exp >0.6 Found in promoter regions of >50% of all genes.

• Promoter hypermethylation can silence genes.

21-04-23 Identification of RT response methylation markers in cervical cancer 23

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 23: Predicting the response of cervical cancer to radiotherapy

21-04-23 Identification of RT response methylation markers in cervical cancer 24

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Normal Cancer

Page 24: Predicting the response of cervical cancer to radiotherapy

To identify genes, which methylation status predicts the

response to chemoradiation.

21-04-23 Identification of RT response methylation markers in cervical cancer 25

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 25: Predicting the response of cervical cancer to radiotherapy

Different methylation pattern in responding patients vs. non-

responding patients.

21-04-23 Identification of RT response methylation markers in cervical cancer 26

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 26: Predicting the response of cervical cancer to radiotherapy

• Originally our KWF-application listed 84 genes: 52 genes from array data. 32 genes from literature.

• Together with OMS, we will analyze our patient material using a Methylation Specific PCR based screen.

• Our new and improved list consists of 800+ genes.

21-04-23 Identification of RT response methylation markers in cervical cancer 27

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 27: Predicting the response of cervical cancer to radiotherapy

• MSP-based screening tool.• Combines the large screen capabilities of microarray

with the semi-quantitative analysis of Q-PCR.

21-04-23 Identification of RT response methylation markers in cervical cancer 28

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 28: Predicting the response of cervical cancer to radiotherapy

• Methylation specific PCR Bisulfite conversion.

21-04-23 Identification of RT response methylation markers in cervical cancer 29

A C G C G C G C C

A C G C G C G U U

Methylated DNA Unmethylated DNA

Differential sequenceDifferential sequence

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 29: Predicting the response of cervical cancer to radiotherapy

• Nucleoside DNMT inhibitors: DAC (Decitabine), 5-aza-C, Zebularin.

• Non-Nucleoside DNMT inhibitors: Hydralazine, EGCG, RG108, Procaine Procainamide

21-04-23 Identification of RT response methylation markers in cervical cancer 30

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Medium co

ntrol

M U M U M U M U M U M U M U

200nM DAC

M U 300nM

TSA

Combi DAC/T

SA 10µM

Hydralazin

e 1mM

VPA

Combi Hyd

r./VPA

5µM DAC

DAPK

M U M U

Leuco

cyte

IV

Page 30: Predicting the response of cervical cancer to radiotherapy

21-04-23 Identification of RT response methylation markers in cervical cancer 31

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Medium co

ntrol

5µM DAC

200nM DAC

M U M U M U M U M U M U M U M U M U M U M U M U

40µM Hyd

ralazine

1mM Hyd

ralazine

10µM Pro

cainamide

500µM Pro

cainamide

120µM Ze

bularine

1mM Ze

bularine

Medium re

seed

200nM DAC + 300nM

TSA Rese

ed

1mM Ze

bularine re

seed

Page 31: Predicting the response of cervical cancer to radiotherapy

• Summary Procainamide is a FDA approved drug which has demethylating

properties.• However, it has severe side-effects.

Also Zebularin has demethylating properties.• Draw-back: it kills monkeys…

21-04-23 Identification of RT response methylation markers in cervical cancer 32

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 32: Predicting the response of cervical cancer to radiotherapy

• Validation in a larger cohort of patient samples. Amsterdam series UMCG

• In vitro validation of our candidate genes. Over-expression of our candidate genes

• Clonogenic assay analysis. Knock-down of our candidate genes

• Clonogenic assay

21-04-23 Identification of RT response methylation markers in cervical cancer 33

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 33: Predicting the response of cervical cancer to radiotherapy

21-04-23 Identification of RT response methylation markers in cervical cancer 34

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Seeding of cells

IrradiationDay 10, 2, 4, 6, 8 and 10Gy

Read-outDay 10

Day 0

Page 34: Predicting the response of cervical cancer to radiotherapy

Clonogenic Assay

0 2 4 6 8 100.1

1

10

100

SiHaHeLa

Dose (Gy)

Surv

ivin

g fr

actio

n (%

)Clonogenic Assay

0 2 4 6 8 100.1

1

10

100

SiHa

Dose (Gy)

Surv

ivin

g fr

actio

n (%

)

21-04-23 Identification of RT response methylation markers in cervical cancer 35

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Clonogenic Assay

0 2 4 6 8 100.1

1

10

100

SiHaHeLaCaSki

Dose (Gy)

Surv

ivin

g fr

actio

n (%

)

Page 35: Predicting the response of cervical cancer to radiotherapy

21-04-23 Identification of RT response methylation markers in cervical cancer 36

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Seeding of cells

Read-outDay 15

Day 0

DAC/TSA treatment

Day 2-4 200nM DACDay 4 300nM TSA

Seeding of cellsDay 5

After 6h, irradiation.0, 2, 4, 6, 8 & 10 Gy

Page 36: Predicting the response of cervical cancer to radiotherapy

21-04-23 Identification of RT response methylation markers in cervical cancer 37

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

SiHa Clonogenic Assay

0 2 4 6 8 100.1

1

10

100

Medium

Dose (Gy)

Surv

ivin

g fr

actio

n (%

)

SiHa Clonogenic Assay

0 2 4 6 8 100.1

1

10

100

MediumDAC/TSA (200nM/300nM)

Dose (Gy)

Surv

ivin

g fr

actio

n (%

)

SiHa Clonogenic Assay

0 2 4 6 8 100.1

1

10

100

MediumDAC/TSA (200nM/300nM)Zubularine (1mM)

Dose (Gy)

Surv

ivin

g fr

actio

n (%

)

Page 37: Predicting the response of cervical cancer to radiotherapy

21-04-23 Identification of RT response methylation markers in cervical cancer 38

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 38: Predicting the response of cervical cancer to radiotherapy

• pcDNA3-HA-TAp73α Gift from G. Melino, Rome Italy

• pIRES2-EGFP-TAp73α

21-04-23 Identification of RT response methylation markers in cervical cancer 39

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 39: Predicting the response of cervical cancer to radiotherapy

21-04-23 Identification of RT response methylation markers in cervical cancer 40

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

SiHa pcDNA3-HA-TAp73α PBS control SiHa medium control αHA-tag (Y11) 1:50 SiHa pcDNA3-HA-TAp73α αHA-tag (Y11) 1:50

Appr. 37% transfection efficiency

SiH

a un

tran

sfec

ted

SiH

a pc

DN

A3-H

A-TA

p73α

SiH

a un

tran

sfec

ted

SiH

a pc

DN

A3-H

A-TA

p73α

SiH

a un

tran

sfec

ted

SiH

a pc

DN

A3-H

A-TA

p73α

Mar

ker

Mar

ker

Mar

ker

HA-TAp73α

αHA (F7, monoclonal mouse) 1:200 1hour, 30s exposure

Page 40: Predicting the response of cervical cancer to radiotherapy

pIRES2-EGFP

21-04-23 Identification of RT response methylation markers in cervical cancer 41

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

CMV

G.O.I.

IRES

GFP

KanR

NeoR

Page 41: Predicting the response of cervical cancer to radiotherapy

• MSP analysis of the selected genes, to see what the methylation status is of our 4 cell lines.

• RT-PCR to see if the genes are transcribed.

• Clone into pIRES2-EGFP.

• Develop RNAi constructs.

• Clonogenic assay of transfected cellswith RNAi and plasmid constructs

21-04-23 Identification of RT response methylation markers in cervical cancer 42

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of

investigation

• Summary

• Acknowledgements

Page 42: Predicting the response of cervical cancer to radiotherapy

• HeLa, SiHa are similar sensitive to RT in the clonogenic setting

• CaSki is more resistant than SiHa and HeLa.

• After DAC/TSA and Zebularin treatment prior to RT, SiHa cells are not changed in sensitivity to RT.

• Although procainamide is FDA approved (for arrythmia), we are unlikely to use it due to side-effects.

• Cloning strategies in progress

21-04-23 Identification of RT response methylation markers in cervical cancer 43

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 43: Predicting the response of cervical cancer to radiotherapy

• Our patient-material screen is starting shortly. Our candidate gene list has probably around 800 genes. Test samples already have been sent.

21-04-23 Identification of RT response methylation markers in cervical cancer 44

• Introduction Cervical cancer Epigenetics• Chromatin

structure• DNA methylation

• Project Aim Hypothesis Gene Selection Biotrove MSP Demethylation Validation Clonogenic assay In vitro validation Plan of investigation

• Summary

• Acknowledgements

Page 44: Predicting the response of cervical cancer to radiotherapy

21-04-2345

Gynecologic oncology G. Bea A. Wisman Mirjam Kok Maartje G. Noordhuis Ate G.J. van der Zee

Pathology Ed Schuuring

Medical oncology Steven de Jong