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Copyright © 2018 IQVIA. All rights reserved.
October 2018
Nikos Kostaras, General Manager, IQVIA Greece
The impact of innovation in Oncology:
New opportunities and challenges
1
• The analyses, their interpretation, and related information contained herein are made and provided subject to the assumptions, methodologies,
caveats, and variables described in this report and are based on third party sources and data reasonably believed to be reliable. No warranty is
made as to the completeness or accuracy of such third party sources or data.
• As with any attempt to estimate future events, the forecasts, projections, conclusions, and other information included herein are subject to certain
risks and uncertainties, and are not to be considered guarantees of any particular outcome.
• All reproduction rights, quotations, broadcasting, publications reserved. No part of this presentation may be reproduced or transmitted in any
form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without express
written consent of IQVIA.
• ©2018 IQVIA Incorporated and its affiliates. All rights reserved. Trademarks are registered in the United States and in various other countries.
Disclaimer
2
US, top five EU, and Japan = 75% of the global oncology market
10%
22%
46%
9%
14%
PharmergingEU5
RoWUS Japan
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
2012 2013 2014 2015 2016 2017
US EU5 Pharmerging Japan RoW Global%
gro
wth
Oncology market share by region 2017
$109 Bn (list price, pre-rebates and discounts)
Oncology growth by region 2012-17 (list
price, pre-rebates and discounts)
Source: IQVIA MIDAS Restricted MAT Q4 2017; Growth in LCUS,
3
The cancer treatment landscape has been transformed since 2011New Active Substance Launches 2011–2017 by Indication
Source: IQVIA, ARK R&D Intelligence, Feb 2017; IQVIA Institute, Mar 2017; IQVIA MIDAS QTR restricted MAT Q3 2017
Lung
Pancreatic
Leukemia
Thyroid
Neuro-
blastoma
GIST
Sarcoma
Multiple
myelomaProstate
Gastric Polycythemia
vera
Basal
cell
carcinoma
Cervical
Ovarian
Castleman’s
Lymphoma
Colorectal
cancer
Melanoma
Breast
RenalBladder
Head andNeck
• cabozantinib
• lenvatinib
• nivolumab• abemaciclib
• ado-trastuzumab emtansine
• neratinib
• palbociclib
• ribociclib
• cobimetinib
• dabrafenib
• nivolumab
• pembrolizumab
• talimogene
laherparepvec
• trametinib
• nivolumab
• ramucirumab
• tipiracil/trifluridine
• acalabrutinib (MCL)• axicabtagene ciloleucel (DLBCL)
• belinostat (PTCL)• copanlisib (FL)• ibrutinib (MCL, WM)
• idelalisib (CLL, FL, SLL)• nivolumab (Hodgkin’s)• obinutuzumab (FL)
• pembrolizumab (HL)
• bevacizumab
• niraparib
• olaparib
• rucaparib
• sonidegib
• daratumumab
• elotuzumab
• ixazomib
• panobinostat
• pomalidomide• ra 223 dichloride
• eribulin
• olaratumab
• trabectedin
• afatinib
• alectinib
• atezolizumab
• brigatinib
• ceritinib
• gefitinib
• necitumumab
• nivolumab
• osimertinib
• pembrolizumab
• ramucirumab
• blinatumomab (ALL)
• daunorubicin + cytarabine (AML)
• enasidenib (AML)
• ibrutinib (CLL)
• inotuzumab ozogamicin (ALL)
• midostaurin (AML)
• obinutuzumab (CLL, FL)
• tisagenlecleucel (ALL)
• venetoclax (CLL)
• lenvatinib mesylate
• dinutuximab
• atezolizumab
• avelumab
• durvalumab
• nivolumab
• pembrolizumab
• nivolumab
• pembrolizumab
• pembrolizumab
• ramucirumab
• ruxolitinib
• bevacizumab
• irinotecan
liposome
• siltuximab
• regorafenibMerkel
cell
Liver
• nivolumab
• regorafenib
• avelumab
4
75% of all targeted treatments in Oncology are used in multiple indications especially checkpoint inhibitors
8
3
14
30
18
0
5
10
15
20
25
30
2-4 10+5-7 8-101
Targeted drugs by Number of Indications in EU5 + Japan
Number of Indications
Nu
mb
er
of D
rug
s
Checkpoint inhibitors make up the
upper crust with many used in an
array of 10+ Indications
The majority of targeted cancer
products are used in 2-4 indications
Source: IQVIA Thought Leadership, Oncology Dynamics, MAT Q4 2017, Patient Level Oncology Survey Data, Excludes patients participating in Clinical Trials
5
A wide array of immuno-oncology drugs, some with novelmechanisms, are in development across multiple tumor types
Select Mechanisms of Action for Multiple Tumor Types
Chart notes: Data query included immuno-oncology therapies sorted by highest status. Diagnostic molecules were not included. Sponsors include industry and
non-industry. For molecules with multiple mechanisms and disease, the first listed mechanism or disease was chosen. PD-1 = Programmed cell death protein 1;
PD-L1 = Programmed death-ligand 1; INDO = Indoleamine-pyrrole-2,3-dioxygenase inhibitor; CTLA4 = cytotoxic T-lymphocyte-associated protein 4; APRIL = A
proliferation-inducing ligand; TKIs = tyrosine kinase inhibitors; EGFR = Epidermal growth factor receptor; * includes metastatic
Source: Clarivate Analytics Cortellis, Apr 2018; IQVIA Institute, Apr 2018..
6
The number of oncologists has steadily been growing, but the noise generated by new drugs and companies is overwhelming
Number of specialist oncologists
2018
63’708
2012
54’903
USJPCN*ESITUKFRDE
2018
524 per Mn people
2012
457 per Mn people
Number of specialist oncologists per Mn people
Note: *13 main cities represented only; for JP: Oncology specialty does not exist and patients are treated by the respective specialists according to the type of cancer, i.e.: gastrologists, urologist, gynecologist or pneumologist; population data
from world bank open data 2016 numbers used for 2018
Source: IQVIA Channel Dynamics
7
Payers enacted several new provisions in 2017 to modify theirapproach to purchasing and reimbursement
Chart notes: ICER = Institute for Clinical and Economic Review; FDA = Food and Drug Administration: NICE = National Institute for Health and Care Excellence;
CDF = Cancer Drugs Fund; NRDL = National Reimbursement Drug List; DLO = Dopolnitel’noe Lekarstvennoe Obespechenie, or the Programme for Supplementary
Pharmaceutical Provision.
Source: IQVIA Institute, IQVIA PharmaQuery, Mar 2018
Selected Purchasing and Reimbursement Actions Globally
8
Higher focus on exploring multiple potential applications of products in the earlier stages of drug development
49% 53%
64% 67%
20%23%
25%25%
8%
10%
13%8%
7%
5%
1%1%
Phase 4
3%4%
2% 2% 3%3%
3%
4%
Phase 2
100%
Phase 3Phase 1
6+
2
3
1
5
4
More then 50%
of Phase I Trials
include multiple
indications
This number
drops down to
35% in Phase III
Number of
indications
included
simultaneously
in a single trial
Number of Indications included in Oncology Clinical Trial started 2014 to 2017
Source: IQVIA Thought Leadership, www.clinicaltrial.gov, Last access April 2018,
9
Trials using biomarkers to stratify patients susceptible toresponse made up 34% of oncology trials in 2017
Chart notes: Citeline’s Trialtrove’s dataset was used to create a year over year analysis for the number of biomarkers in oncology trials. Biomarker trials were identified
using the following trial tags: biomarker/efficacy, biomarker/toxicity, PGX-biomarker identification/evaluation, PGX-pathogen, PGX-patient preselection/stratification.
Trials were industry only and interventional. Terminated and planned trials were excluded. Trials with healthy volunteers were excluded.
Source: Trialtrove, Pharma Intelligence, Apr 2018; IQVIA Institute, Apr 2018
Number and Percent of Oncology Trials by Biomarker Type, Phase I-III, 2010—2017
10
Today’s Clinical Trials present familiar challenges and new complexities
1 Impact Report (2013) Tufts CSDD 15(1) 2 Impact Report (2016) Tufts CSDD 18(1). 3 Clinical Trial Delays: America’s Patient Recruitment Dilemma (2012). Drugdevelopment-technology.com 4 Getz KA & Campo RA (2017) Nature Reviews
Drug Discovery 16, 307
57%of trials have a
protocol amendment2
80%of trials are delayed, often
recruitment related3
48%of sites miss their
targets1
61%increase in
inclusion/exclusion criteria4
The shift towards targeted therapies in oncology creates the following challenges resulting in
significant costs and inefficiencies.
11
Consequences: 1) net price pressures, 2) more stringent evidence requirements and 3) increasing RWE expectations
Key market trends
Source: IQVIA Consulting Services PMA Solution and European Thought Leadership
Net price pressures Evidence Requirements1 2 RWE Expectations3
Growing net price
constraints due to
persisting budgetary
pressures
Increasingly stringent
evidence requirements,
with payers have an
increasing preference for
OS, with PFS only accepted
in specific situations or pro
tem
Greater pressure on
manufacturers to generate
RWE to prove value pre-
and post-launch especially
when seeking approval
based on a phase 2 or
single arm trial
12
Pharma facing new challenges to commercialization
Source: IQVIA Thought Leadership
Increased difficulty to define
launch sequence of indications
and price strategy across multiple
indications
Better scientific understanding
resulting in increased scrutiny
over product value and benefits
by payers and regulators
Tightly defined patient populations
resulting in increased number of
trials, missed enrolment targets,
elongation of trial duration and
inevitably protocol amendments
Misalignment between regulators
and payers regarding evidence
needs and comparator to use
13
The ‘noise’ generated by a large pipeline is going to intensify
Late Phase Oncology Pipeline Molecules, 2006–2016
Note: Late Phase includes phase II to registration
Source: IQVIA, ARK R&D Intelligence, Dec 2016; IQVIA Institute, Mar 2016
0
100
200
300
400
500
600
700
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
Targeted Small Molecules Targeted Biologics Cytotoxics Hormonals Radiotherapies
# o
f m
ole
cu
les
Year
14
Clinical trials incorporating digital health tools in oncology havebeen limited, but show a range of positive impacts
Chart notes: Withings Wi-Fi Scale used in one of the studies to send data to app was mapped to Nokia HealthMate as the likely receiving app
Source: IQVIA AppScript Evidence Database; Apr 2018; IQVIA Institute, May 2018
Clinical Efficacy Studies on Oncology Apps in 2017 &
Tools Used in These Trials
Mobile Cancer Apps by Cancer
Sub-Type Targeted
Thank you
Nikos Kostaras
General Manager, IQVIA, Greece