GCIG Translational research Brainstorming day Lisbon, Oct 27, 2016 - - PowerPoint PPT Presentation

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GCIG Translational research Brainstorming day Lisbon, Oct 27, 2016 - - PowerPoint PPT Presentation

GCIG Translational research Brainstorming day Lisbon, Oct 27, 2016 Experience from TransPORTEC Carien Creutzberg Radiation Oncology, Leiden University Medical Centre, The Netherlands Management of endometrial cancer past 20 yrs Move from


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Experience from TransPORTEC

Carien Creutzberg

Radiation Oncology, Leiden University Medical Centre, The Netherlands

GCIG Translational research Brainstorming day

Lisbon, Oct 27, 2016

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SLIDE 2

Management of endometrial cancer – past 20 yrs

  • Move from ‘same for all’ to selected treatment approach
  • Randomised trials for adjuvant therapy
  • Increasingly risk-based treatment selection
  • Current focus on
  • effective adjuvant therapy for high-risk disease
  • molecular basis of endometrial cancer development and

new targets for therapy

  • individual risk assessment and treatment directed by

molecular characteristics

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Stage I intermediate risk (n=714):

  • grade 1 or 2 with ≥50% invasion
  • grade 2 or 3 with <50% invasion
  • TAH-BSO without lymphadenectomy

R

pelvic radiotherapy (46 Gy) no further treatment

Creutzberg et al, Lancet 2000

PORTEC-1 trial (1990-1997)

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Stage I-IIA endometrial carcinoma, N = 427

  • High-intermediate risk factors
  • Hysterectomy and BSO

R

pelvic radiotherapy vaginal brachytherapy

Nout et al, Lancet 2010

PORTEC-2 trial (2000-2006)

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PORTEC-1 and 2 biobank In total 947 (85%) endometrioid endometrial tumour tissues from PORTEC-1 and -2 trials obtained for biobank Strong clinical and pathology collaboration in NL After central pathology review:

283 Low-/low-intermediate risk 588 High-intermediate-risk 76 High-risk

Stelloo et al, Clinical Cancer Research 2016

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Quantification of LVSI in PORTEC-1 and 2 (n=954)

Nout et al, ASTRO 2014; Bosse et al, EJC 2015

Substantial LVSI: HR 4.6 Mild LVSI: HR 2.2

Risk of distant metastases by LVSI

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SLIDE 7

Quantification of LVSI in PORTEC-1 and 2

Nout et al, ASTRO 2014; Bosse et al, EJC 2015

All 954 patients Substantial LVSI (5%) Risk of pelvic recurrence

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L1-CAM

Zeimet, JNCI 2013; Bosse, EJC 2014; Van der Putten for ENITEC, Br J Cancer 2016

L1-CAM strong negative prognostic factor

  • About 7-10% overall L1CAM+
  • More often L1CAM+ in grade 3, p53+, NEEC
  • Confirmed in large ENITEC series (1200)

Zeimet et al 2013 Bosse et al 2014

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Molecular characteristics of endometrial cancer

TGCA, Kandoth et al, Nature 2013

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The Cancer Genome Atlas

TGCA, Kandoth et al, Nature 2013

Limitations:

  • Heterogenous cohort (stage I:

70%, stage II-IV: 30%)

  • Variable adjuvant treatment (RT

20%, CT 10%, RT+CT 10%, unknown 60%)

  • Small numbers
  • Not a practical approach
  • Validation needed
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PORTEC-1 and -2 translational studies

  • Improved risk assessment of endometrial cancer by

comprehensive analysis of molecular factors

  • High concordance of molecular tumor alterations between

pre-operative curettage and hysterectomy specimens

  • Substantial lymph-vascular space invasion (LVSI) is a significant

risk factor for recurrence in endometrial cancer

  • L1 cell adhesion molecule is a strong predictor for distant

recurrence and overall survival in early stage endometrial cancer

  • Prognostic significance of POLE proofreading mutations

Bosse et al 2014, 2015; Stelloo et al 2014, 2015, 2016; van Gool et al 2015

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Molecular analysis (FFPE) - methods

  • Identification of the 4 molecular subgroups by surrogate markers
  • 1. POLE: Sanger sequencing exon 9 and 13 (coverage >85% of proofreading mutations)
  • 2. MSI: promega MSI assay and MMR protein expression
  • 3. p53: IHC and TP53 Sanger sequencing exon 5-8 in uncertain cases
  • 4. NSMP: -
  • Analysis of potential other classifiers
  • Hotspot mutation analysis in 13 genes: Sequenom Massarray

BRAF, CDKNA2, CTNNB1, FBXW7, FGFR2, FGFR3, HRAS, KRAS, NRAS, PIK3CA, PPP2R1A , PTEN

  • IHC: ARID1a, β-catenin, ER, PR, L1CAM, PTEN
  • Association with outcome
  • Log rank and univariable analysis, Multivariable Cox models, AUC

Stelloo et al, Clinical Cancer Research 2016

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SLIDE 13
  • 861 tumours classified

Four molecular subgroups in PORTEC-1 and 2 8.9% p53 59.0% NSMP 26.3% MSI 5.9% POLE

3% Multiple classifying alterations

1.5% MSI & p53 <1% p53 & POLE <1% MSI & POLE <1% MSI, p53 & POLE

Stelloo et al, Clinical Cancer Research 2016

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Molecular analysis PORTEC-1 and 2 cohort (N=834)

Stelloo et al, Clinical Cancer Research 2016

P O LE N SM P M S I p53 I

The 4 TCGA subgroups by surrogate markers

Locoregional recurrence

5 1 0 0 .0 0 .5 1 .0 T im e (ye a rs) P -value < 0.001 5 1 0 0 .0 0 .5 1 .0 T im e (ye a rs) P -va lu e < 0.0 01 5 1 0 0 .0 0 .5 1 .0 T im e (ye a rs) P -value < 0.001

Distant metastasis Overall survival

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SLIDE 15

Consistent in independent studies

Talhouk et al, Br J Cancer 2015

A clinically applicable molecular-based classification for endometrial cancers

  • 152 -> 143 patients evaluable
  • 17% serous/mixed
  • 39% low risk, 16% intermediate risk, 45% high risk
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Molecular analysis PORTEC-1 and 2 cohort (N=834)

Stelloo et al, Clinical Cancer Research 2016

  • Clinical and pathological characteristics:

Age, grade, myometrial invasion, LVSI, treatment

  • Four molecular subgroups:

POLE, MSI, p53 and remaining

  • Hotspot mutations:

BRAF, CDKNA2, CTNNB1, FBXW7, FGFR2, FGFR3, HRAS, KRAS, NRAS, PIK3CA, PPP2R1A , PTEN

  • Protein expression:

ARID1a, β-catenin, ER, PR, L1CAM, PTEN LVSI POLE, MSI, p53 CTNNB1 L1CAM

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SLIDE 17

Stelloo et al, Clinical Cancer Research 2016

Molecular integrated risk profile PORTEC-1 and 2 cohort

  • 55% of high-intermediate risk patients reclassified to favourable
  • 15% of high-intermediate risk patients reclassified to unfavourable
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New PORTEC-4a trial design

  • Molecular integrated vs standard indications for adjuvant treatment:

Endometrial carcinoma Surgery and pathology diagnosis FIGO 2009 – high intermediate risk Stage IA (with invasion), any age and grade 3 (with or without LVSI) Stage IB, grade 1-2 and age > 60 Stage IB, grade 1-2 and LVSI+ Stage IB, grade 3 without LVSI Stage II (microscopic), grade 1 Randomisation

Utrecht Ijsselmeer Groningen Drenthe Noord Holland Gelderland Limburg Flevoland Zuid Holland Noord Brabant Zeeland Overijssel Friesland Waddenzee
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New PORTEC-4a trial design

  • Molecular integrated vs standard indications for adjuvant treatment:

Individual treatment recommendation based on molecular pathology analysis 2 1 Standard treatment recommendation based on clinicopathological factors Vaginal brachytherapy Vaginal brachytherapy (~40%) Observation (~55%) External beam radiation therapy (~5%) Follow-up and Quality of Life Randomisation

Favourable Intermediate Unfavourable

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PORTEC-3 trial for high-risk endometrial cancer

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Pelvic RT (48.6 Gy)

  • uniform treatment schedule
  • upfront pathology review
  • quality of life analysis

PORTEC - 3

Pelvic RT plus 2x cisplatin

  • > 4x carboplatin/paclitaxel
  • Stage I high risk, stage II-II, NEEC

686

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Pooled randomised NSGO/EORTC/Iliade trials

Radiotherapy +/- Chemotherapy

Progression free survival Overall survival

Hogberg et al, EJC 2010

PFS 69 vs 78%, p=0.009 OS 75 vs 82%, p=0.07

Serous and clear cell cancers in NSGO/EORTC trial (33%)

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PORTEC-3 trial – toxicity and quality of life

Not at all A little Quite a bit Very much

de Boer et al, Lancet Oncology 2016

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TransPORTEC Consortium

  • International collaboration
  • PORTEC-3 participating groups
  • Clinical PI, pathologists, scientists, stats
  • Central PORTEC-3 biobank
  • Joint projects with different work packages
  • Ultimate aims
  • Molecular prognostic factors
  • Predictors for efficacy of chemotherapy
  • Immune response
  • New targets for therapy
  • In depth understanding of driver mutations,

mechanisms of cancer development and spread

PORTEC - 3

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TransPORTEC Consortium

  • Central biobank, well defined processes and QA

PORTEC-3 BIOBANK LUMC TransPORTEC participants TransPORTEC participants Collect tumorblocks ~500 cases Distribute TMA and DNA

Courtesy of Tjalling Bosse

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TransPORTEC Biobank - workflow

1 tumorblock per case with PORTEC-3 number REGISTRATION PORTEC-3 DATABASE Processing - Step1 HE & 15-20 blancs QUALITY CONTROL GYN-PATHOLOGIST Processing – Step 2 TMA en DNA

  • Database with PORTEC-3 numbers
  • Unique ID ensures confidentiality
  • Patient ID is maintained in a locked area
  • Quality score in database
  • Indicate tumor, tumor/stroma and

normal for TMA and DNA isolation

  • HE are scanned
  • Blancs stored at 4C

PORTEC-3 Biobank (approx. 450 tumor samples)

  • 3x Tumor
  • 3x Tumorstroma
  • 10ng/ul tumor+normal
  • Storage -200C matrix
  • 15-20 blanc slide
  • Storage at -40C
  • 3x tumorcores in tubes
  • Storage at -40C
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SLIDE 26

TransPORTEC Consortium

  • Meetings twice yearly
  • Started with collection of TransPORTEC-pilot series (n=100)

test of biobanking and distributing of material to groups

  • Collection and shipping of PORTEC-3 tissue samples
  • Problems and issues
  • Consent for donation of tissues sample at the time of patient

consent -> in principle this was clear from the start

  • Some groups had to check again for patient consent, and have a

MTA with each center despite this being in the PORTEC-3 CTA

  • Some pathology labs refused to participate despite patient

consent

  • Range of 0 to 97% completeness of biobanking, overall ~63%
  • Delays with identification, collection, MTA, shipping …..
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SLIDE 27
  • 3 joint papers published
  • 4 in press / in preparation

TransPORTEC pilot studies

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POLE in high grade / high risk EC

Church et al, JNCI 2015; Stelloo et al, Mod Path 2014, Meng et al Gyn Oncol 2014 Meng et al, Gyn Onc. 2014

TransPORTEC pilot study

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Immune response in POLE-mutant EC

Proposed mechanism how ultramutation results in a favourable prognosis

Van Gool et al, OncoImmunology 2015

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L1-CAM - relation to p53

Van Gool et al, Mod Pathol 2015

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TransPORTEC pilot studies

  • 3 papers published
  • 4 in press / in preparation

Topics:

  • Markers of the p53 pathway further refine molecular profiling

in high risk endometrial cancer

  • Immunological profiling of molecularly classified high-risk

endometrial cancers identifies POLE-mutant and MSI cancers as candidates for checkpoint inhibition

  • DNA repair pathways and genomic instability score
  • Combined molecular and immunological stratification for

immunotherapeutic treatment of high risk endometrial cancer

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TransPORTEC Consortium

  • PORTEC-3 biobank nearly completed
  • Processing started
  • Plans for funding applications to be submitted at time of

PORTEC-3 trial analysis

  • Combined umbrella project with work packages
  • Preliminary work and independent validation
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Recent progress and future developments

  • Towards selective use of adjuvant treatment
  • Clinical trials standard with translational component

 Standard consenting for tissue collection  Immediate transfer of block to central biobank with rigorous QA and expert pathology review  Clear collaboration rules within the group

  • Clinical trials with molecular factor-directed therapy
  • Individualised treatment based on integrated clinico-

pathological and molecular characteristics

  • Integration of molecular and immunological factors and

treatment approaches

  • New targets for therapy
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Marnix Lybeert Catharina Hospital Eindhoven Jan Jobsen Medisch Spectrum Twente Enschede Ina Jürgenliemk-Schulz University Medical Center Utrecht Jan Willem Mens Daniel den Hoed Cancer Centre Rotterdam Karin De Winter Bernard Verbeeten Institute Tilburg Ludy Lutgens MAASTRO clinic Maastricht Betty Pras UMC Groningen Elzbieta vd Steen-Banasik Radiotherapy Institute Arnhem Marika Stenfert Kroese Radiotherapy Institute Deventer Annerie Slot Radiotherapy Institute Leeuwarden Jan Willem Leer RadboudMC Nijmegen Lon Uitterhoeve Academic Medical Center Amsterdam Baukelien van Triest NKI/vLeeuwenhoekhuis Amsterdam Tanja Stam Westeinde Hospital Den Haag Peter Koper Leyenburg Hospital Den Haag Otto Meijer VUMC Amsterdam Veronique Coen Radiotherapy Institute Vlissingen Remi Nout Leiden University Medical Center

Utrecht Ijsselmeer Groningen Drenthe Noord Holland Gelderland Limburg Flevoland Zuid Holland Noord Brabant Zeeland Overijssel Friesland Waddenzee

Thanks

Hein Putter, Wim van Putten PORTEC statisticians Karen Adema, Philine van den Tol PORTEC datamanagers Vincent Smit, Harry Hollema, Henk Beerman PORTEC pathologists

Remi Nout Vincent Smit Tjalling Bosse Stephanie de Boer Ellen Stelloo Inge van Gool

PORTEC study group

PORTEC - 3

International Intergroup Trial