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Médicaments biologiques: Critères
d’enregistrement et de developpement
Prof. Jean Marc NABHOLTZ
Director ,Division of Clinical Research,
Jean Perrin Comprehensive Cancer Center of Auvergne, Clermont-Ferrand,
FRANCE
Professor and Former Director, Cancer Therapy Development Program
University of California at Los Angeles (UCLA), CA, USA
Founder and Past Chairman, Breast Cancer International Research Group
(BCIRG)
Jean Perrin Comprehensive
Cancer Center of Auvergne
Clermont-Ferrand - France
.
Breast Cancer Drug
Development
NEW SINGLE AGENT
2nd LINE M+
1st LINE M+
ADJUVANT
NEW
COMBINATIONS M
+
Nabholtz et al. SABCS
Trial design
•  The quality of a clinical trial
depends upon its design
•  A good quality trial should
–  ask a good question
–  Define the proper patient population
Analysis of trial findings
•  Main analysis specified by the Statistical
Plan (SAP)
– Scientific Hypothesis
–  Sample size
– Patient population à Nb of Events
•  Intent to Treat+++
•  Evaluable
•  Use hazard ratio/confidence intervals in
preference to p-values
SAP, statistical analysis plan
•  Use appropriate key endpoint(s) to
determine the answer:
–  PFS
–  TTF
–  Response
–  Clinical benefit (Hormonotherapy/
targeted therapies…)
–  Overall survival
•  Concept of Therapeutic Index
•  Quality of life
Analysis of trial findings
6 « Document réservé à l’usage exclusif des médecins régionaux/centres investigateurs »
Scénarios critère principal
X Pivot et al, ESMO 2012, LBA5_PR
Équivalent
Supérieur
Non Inférieur
Inférieur
A
B
C
D
E
0,85 1 1,15 1,3 1,45 1,6
HR
Pivot X. et al. SABCS 2012
7 « Document réservé à l’usage exclusif des médecins régionaux/centres investigateurs »
Equivalence
7
Traitement	
  Expérimental	
  (CT-­‐P6)	
  
Absence	
  d’effet	
  
ORR	
  
Equivalence	
  
Non	
  
équivalence	
  
Traitement de Référence (T)
-­‐15	
  	
   	
  15	
  	
   Non	
  
équivalence	
  
On accepte que C fasse un peu moins bien ou un peu mieux que T de 15% en ORR
H0 : |T – C| ≥ M vs. H1 : |T – C| < M
0	
  
8 « Document réservé à l’usage exclusif des médecins régionaux/centres investigateurs »
Non Inferiority
8
Experimental	
  Therapy	
  
No	
  effect	
  
Non	
  Inferiority	
  
Reference	
  rherapy)	
  
Inferiority	
  
0	
  
Unilateral	
  SituaJon	
  
13	
  December	
  2012	
  EMA/CHMP/205/95/Rev.4/	
  
Guidelines	
  on	
  the	
  evaluaEon	
  
	
  of	
  anEcancer	
  medicinal	
  products	
  in	
  man	
  
	
  
1.  Significant	
  clinical	
  benefit	
  based	
  on	
  improved	
  efficacy	
  	
  
Efficacy	
  greater	
  than	
  that	
  of	
  an	
  authorised	
  medicinal	
  product	
  should	
  
be	
  assessed	
  using	
  clinically	
  meaningful	
  endpoint(s)	
  in	
  adequate	
  and	
  
well-­‐controlled	
  clinical	
  trials.	
  	
  
2.  Significant	
  clinical	
  benefit	
  based	
  on	
  improved	
  safety	
  	
  
Non	
  inferiority	
  on	
  efficacy	
  and	
  robust	
  improved	
  safety.	
  	
  
3.  Significant	
  clinical	
  benefit	
  based	
  on	
  major	
  contribuJon	
  to	
  
paJent	
  care	
  	
  
A	
  new	
  mode	
  of	
  administraEon	
  could	
  be	
  considered	
  a	
  clinical	
  benefit.	
  	
  
13	
  December	
  2012	
  EMA/CHMP/205/95/Rev.4	
  Oncology	
  	
  
Guidelines	
  on	
  the	
  evaluaEon	
  	
  
of	
  anEcancer	
  medicinal	
  products	
  in	
  man	
  	
  
	
  
•  Acceptable	
  primary	
  endpoints	
  include	
  cure	
  
rate,	
  OS	
  and	
  PFS/DFS.	
  	
  
•  If	
  PFS/DFS	
  is	
  the	
  selected	
  primary	
  endpoint,	
  
OS	
  should	
  be	
  reported	
  as	
  a	
  secondary	
  and	
  vice	
  
versa.	
  	
  
FDA Approvals of Oncology Drugs:
1990–2002
—  A review of FDA approvals has shown that during
the period
1990–2002
—  only 32% of the regular marketing authorizations
used OS as the basis for approval
—  progression-based and ORR endpoints were the
dominant clinical endpoints used to support
marketing authorizations
—  In first-line mBC, 100% of all regular marketing
authorizations were based on progression-based
or ORR endpoints
Johnson, et al. JCO 2003
Recommended Clinical Endpoints Vary
Between Regulatory Bodies: FDA
• United States Food and Drug
Administration (FDA)
– recommends OS as the primary trial
endpoint in oncology
FDA guidance for industry 2009
“The analysis of overall survival may be confounded by cross-over and/or
subsequent therapies. PFS, measured prior to the introduction of other therapies,
may more accurately depict a treatment’s therapeutic effect.”
FDA Oncology Head Richard Pazdur
“PFS can reflect tumor growth and be assessed before the determination of a
survival benefit. Its determination is not confounded by subsequent therapy.”
FDA guidance for industry: clinical trial endpoints
for the approval of cancer drugs and biologics
Primary Endpoint of MBC Trials
(by time)
Verma et al Oncologist 2011
Only 12% of all MBC trials have shown
an improvement in OS
Verma et al Oncologist 2011
PFS, progression-free survival; OS, overall survival; TTP, time-to-progression
NR – Not Reported
Median TTP, mo 7.4 4.6 .0001
Response Rate, % 50 32 .0001
Median duration 9.1 6.1 .0001
of response, mo
Median TTF, mo 6.6 4.5 .0001
Chemotherapy ± Herceptin as First-Line
Therapy (H0648g): Summary of Benefits
H + CT
(n = 235)
CT
(n = 234)
Slamon et al. N Eng J Med, 2001.
P value
5 15 25 35 45
Months
0.2
0
0.4
0.6
0.8
1.0
Herceptin + CT
CT
ProbabilityAlive
Overall Survival
RR = .80
p = .046
20.3 mo 25.1 mo
65 % of CT group crossed over to Herceptin
Comparative Study
H0648g
Slamon et al. N Eng J Med, 2001.
0 10 20 30 40 50
Months
0.0
0.2
0.4
0.6
0.8
1.0
Herceptin +Chemo (n = 169)
Chemo Alone (n = 176)
Risk ratio = 0.70
p=0.007
95% Cl = 0.54, 0.91
Survival
Chemotherapy +/- Herceptin, 1st line MBC
Clinical Outcomes Analysis
FISH -FISH+
Probability
0 10 20 30 40 50
Months
0.0
0.2
0.4
0.6
0.8
1.0 Herceptin + Chemo (n =
50)
Chemo Alone (n = 56)
Risk ratio = 1.13
p=ns
95% Cl = 0.72, 1.79
Nabholtz et al. Semin Oncol, 2000.
Breast Cancer Drug
Development
NEW SINGLE AGENT
2nd LINE M+
1st LINE M+
ADJUVANT
NEW
COMBINATIONS M
+
Updated Nabholtz et al. SABCS 1994.NEOADJUVANT
pCR	
  CORRELATES	
  WITH	
  BETTER	
  EFS	
  	
  
IN	
  SUBSETS	
  OF	
  BC	
  INCLUDING	
  HER2+	
  BC	
  
A	
  FDA	
  led	
  Meta-­‐analysis	
  (N=11,955	
  paJents	
  /	
  1,989	
  HER2+)	
  	
  
Cortazar;	
  Lancet	
  2014	
  (in	
  press)	
  
San	
  Antonio	
  Breast	
  Cancer	
  Symposium	
  -­‐	
  Cancer	
  Therapy	
  and	
  Research	
  Center	
  at	
  UT	
  Health	
  Science	
  Center	
  –	
  December	
  10-­‐14,	
  2013	
  
This	
  presentaEon	
  is	
  the	
  intellectual	
  property	
  of	
  the	
  presenter.	
  	
  Contact	
  marEne.piccart@bordet.be	
  for	
  permission	
  to	
  reprint	
  and/or	
  distribute	
  
Trastuzumab	
  
No	
  Trastuzumab	
  
pCR	
  rates	
  (%)	
  
Lum A Lum B/HER2- Lum B/HER2+
non lum/ HER2+ TN all pCR
pCR	
  to	
  predict	
  breast	
  cancer	
  outcome?	
  
von Minckwitz et al. JCO 2012
SUBPOPULATION	
  
DEFINITION	
  
REGIMEN	
   N	
  
MEDIAN	
  FU	
  
(MONTHS)	
  
DFS	
  	
   p-­‐value	
  
pCR	
  vs	
  non-­‐
pCR	
  
OS	
   p-­‐value	
  	
  
pCR	
  vs	
  
non-­‐pCR	
  HR	
   95%	
  CI	
   HR	
   95%	
  CI	
  
HER2	
  SUBGROUP	
  
HER2+	
  
-­‐	
  CT	
  with	
  Trastuzumab	
  
-­‐	
  CT	
  without	
  Trastuzumab	
  
665	
  
662	
  
46.3	
  
2.85	
  
2.10	
  
[1.69-­‐4.83]	
  
[1.27-­‐3.48]	
  
<0	
  .001	
  
0.04	
  
14.11	
  
2.05	
  
[1.93-­‐103.03]	
  
[1.03-­‐4.10]	
  
0.009**	
  
0.04*	
  
Luminal	
  HER2+	
  
Pure	
  HER2+	
  
-­‐	
  CT	
  with	
  Trastuzumab	
  
-­‐	
  CT	
  without	
  Trastuzumab	
  
-­‐	
  CT	
  with	
  Trastuzumab	
  
-­‐	
  CT	
  without	
  Trastuzumab	
  
356	
  
395	
  
298	
  
239	
  
46.3	
  
1.227	
  	
  
1.180	
  	
  
8.738	
  
3.953	
  
[0.63-­‐2.37]	
  
[0.59-­‐2.36]	
  
	
  [3.17-­‐24.12]	
  
	
  [1.89-­‐8.28]	
  
n.s.	
  
n.s.	
  
<	
  0.001**	
  
<	
  0.001**	
  
29.72	
  	
  
0.94	
  	
  
13.80	
  
4.91	
  
[0.63-­‐>1.000]	
  	
  
[0.37-­‐2.41]	
  	
  
[1.87-­‐102]	
  
	
  [1.75-­‐13.77]	
  
n.s.	
  
n.s.	
  
0.01**	
  
0.002**	
  
TRIPLE	
  NEGATIVE	
  SUBGROUP	
  
HR-­‐/HER2-­‐	
  
-­‐	
  Anthracyclines/Taxanes	
  or,	
  
-­‐	
  Taxanes/AnJmetabolites	
  or,	
  
-­‐Anthracylines/Taxanes/AlkylaJng	
  
agents	
  
911	
   46.3	
   6.020	
   [3.92-­‐9.25]	
   <0.001**	
   12.41	
   [5.82-­‐26.49]	
   <0.001**	
  
von	
  Minckwitz	
  G,	
  et	
  al,	
  	
  
J	
  Clin	
  Oncol	
  2012	
  
pCR to predict breast cancer outcome?
Generated 27NOV13 17:07 by F_EFS4LandmarkHR_slide.sas (r3892) from data as of 13
'
Generated 27NOV13 17:07 by F_EFS4Landmark_slide.sas (r3892) from data as of 13-NOV-2013 11:21 (UTC)
'
LANDMARK	
  ANALYSIS:	
  EFS	
  BY	
  PCR	
  
All	
  paJents	
  
This	
  presentaEon	
  is	
  the	
  intellectual	
  property	
  of	
  the	
  presenter.	
  	
  Contact	
  marEne.piccart@bordet.be	
  for	
  permission	
  to	
  reprint	
  and/or	
  distribute	
  
San	
  Antonio	
  Breast	
  Cancer	
  Symposium	
  -­‐	
  Cancer	
  Therapy	
  and	
  Research	
  Center	
  at	
  UT	
  Health	
  Science	
  Center	
  –	
  December	
  10-­‐14,	
  2013	
  
Tests	
  for	
  interacJon:	
  pCR	
  x	
  HR	
  p=0.34	
  
Generated 27NOV13 17:07 by F_EFS4LandmarkHR_slide.sas (r3892) from data as of 13-
'
Tests	
  for	
  interacJon:	
  	
  
Lap	
  +	
  Tras	
  vs.	
  Tras	
  x	
  pCR,	
  p=0.42	
  
Lap	
  vs.	
  Tras	
  x	
  pCR,	
  p=0.94	
  
LANDMARK	
  POPULATION	
  BY	
  ARM:	
  EFS	
  BY	
  PCR	
  
This	
  presentaEon	
  is	
  the	
  intellectual	
  property	
  of	
  the	
  presenter.	
  	
  Contact	
  marEne.piccart@bordet.be	
  for	
  permission	
  to	
  reprint	
  and/or	
  distribute	
  
San	
  Antonio	
  Breast	
  Cancer	
  Symposium	
  -­‐	
  Cancer	
  Therapy	
  and	
  Research	
  Center	
  at	
  UT	
  Health	
  Science	
  Center	
  –	
  December	
  10-­‐14,	
  2013	
  
Generated 27NOV13 17:08 by F_EFS4LandmarkTrt_slide.sas (r3892) from data as of 13-NOV-2013 11:21 (UTC)
'
Generated 27NOV13 17:08 by F_EFS4LandmarkTrt_slide.sas (r3892) from data as of 13-NOV-2013 11:21 (UTC)
'
Generated 27NOV13 17:08 by F_EFS4LandmarkTrt_slide.sas (r3892) from da
'
'
Generated 27NOV13 17:23 by F_OS4LandmarkHR_slide.sas (r3897) from data as of 13-N
'
Generated 27NOV13 17:23 by F_OS4LandmarkHR_slide.sas (r3897) from data as of 13-NOV-2013 1
Generated 27NOV13 17:08 by F_OS4Landmark_slide.sas (r3893) from data as of 13-NOV-2013 11:21 (UTC)
'
LANDMARK	
  ANALYSIS:	
  OS	
  BY	
  PCR	
  
All	
  paJents	
  
This	
  presentaEon	
  is	
  the	
  intellectual	
  property	
  of	
  the	
  presenter.	
  	
  Contact	
  marEne.piccart@bordet.be	
  for	
  permission	
  to	
  reprint	
  and/or	
  distribute	
  
San	
  Antonio	
  Breast	
  Cancer	
  Symposium	
  -­‐	
  Cancer	
  Therapy	
  and	
  Research	
  Center	
  at	
  UT	
  Health	
  Science	
  Center	
  –	
  December	
  10-­‐14,	
  2013	
  
Tests	
  for	
  interacJon:	
  pCR	
  x	
  HR	
  p=0.36	
  
pCR	
  en	
  Europe	
  
The	
  note	
  for	
  guidance	
  does	
  not	
  address	
  the	
  possible	
  use	
  of	
  
pathological	
  complete	
  remission	
  (pCR)	
  as	
  primary	
  endpoint	
  in	
  
neoadjuvant	
  trials	
  for	
  high-­‐risk	
  early-­‐stage	
  breast	
  cancer	
  
	
  
Currently,	
  there	
  is	
  liqle	
  regulatory	
  experience	
  with	
  this	
  
endpoint	
  and	
  the	
  published	
  data	
  are	
  limited.	
  Further	
  
experience	
  and	
  robust	
  prospecJve	
  clinical	
  data	
  are	
  warranted	
  
before	
  firm	
  recommendaJons	
  can	
  be	
  made.	
  	
  
27	
  November	
  2012	
  EMA/768937/2012	
  Answers	
  from	
  the	
  CHMP	
  ScienEfic	
  Advisory	
  Group	
  (SAG)	
  
for	
  Oncology	
  for	
  Revision	
  of	
  the	
  anEcancer	
  guideline	
  	
  
hep://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformaEon/Guidances/
UCM30550	
  1.pdf)	
  	
  
	
  
13	
  December	
  2012	
  EMA/CHMP/205/95/Rev.4/	
  
Guidelines	
  on	
  the	
  evaluaEon	
  
	
  of	
  anEcancer	
  medicinal	
  products	
  in	
  man	
  
	
  
1.  Significant	
  clinical	
  benefit	
  based	
  on	
  improved	
  efficacy	
  	
  
Efficacy	
  greater	
  than	
  that	
  of	
  an	
  authorised	
  medicinal	
  product	
  should	
  
be	
  assessed	
  using	
  clinically	
  meaningful	
  endpoint(s)	
  in	
  adequate	
  and	
  
well-­‐controlled	
  clinical	
  trials.	
  	
  
2.  Significant	
  clinical	
  benefit	
  based	
  on	
  improved	
  safety	
  	
  
Non	
  inferiority	
  on	
  efficacy	
  and	
  robust	
  improved	
  safety.	
  	
  
3.  Significant	
  clinical	
  benefit	
  based	
  on	
  major	
  contribuJon	
  to	
  
paJent	
  care	
  	
  
A	
  new	
  mode	
  of	
  administraEon	
  could	
  be	
  considered	
  a	
  clinical	
  benefit.	
  	
  
Phase III, non-inferiority trial
Stratification factors
Breast cancer type (operable vs.
locally advanced vs. inflammatory)
Oestrogen receptor status
(positive vs. negative vs. unknown)
Secondary endpoints
PK: Observed Ctrough at pre-dose cycle 13;
predicted Ctrough for pre-dose Cycle 8 and 13
Efficacy: tpCR (pCR in breast and axilla);
overall response rate and time to response;
event-free and overall survival
Safety (including immunogenicity)
HER2+	
  EBC	
  
(N=596)	
  
A	
  trastuzumab	
  
B	
  trastuzumab	
  
surgery	
  
Follow-­‐up:	
  24	
  mo	
  
pCR	
  
18	
  cycles/	
  1year	
  
Docetaxel
75 mg/m2
FEC
500/75/500
Neo-­‐adjuvant	
   Adjuvant	
  
R	
  
1	
  :1	
  
HannaH:	
  Both	
  co-­‐primary	
  endpoints	
  met	
  
PK Efficacy
Difference in pCR rate: 4.7%†
(95% CI: –4.0, 13.4)
Geometric mean ratio: 1.33*
(90% CI: 1.24, 1.44)
SerumCtroughlevels
pCRinthebreast
Trastuzumab SC
(n = 234)
Trastuzumab IV
(n = 235)
Trastuzumab SC
(n = 260)
Trastuzumab IV
(n = 263)
51.8
µg/mL
69.0
µg/mL
45.4%
40.7%
100
75
50
25
0
100
75
50
25
0
Trastuzumab SC demonstrated a comparable efficacy and PK profile to the IV
formulation
* Non-inferiority margin for the ratio between groups of 0.80
† Non-inferiority margin for the difference between groups of –12.5%
CI, confidence interval
Ismael G, et al. Lancet Oncol 2012; 13:869–878.
PrefHer:	
  PaEents	
  overwhelmingly	
  
preferred	
  trastuzumab	
  SC	
  over	
  IV	
  
SC preferred (exact binomial): Overall = 91.5% (95% CI 87.2% to 94.7%)
Pivot X, et al. Lancet Oncol 2013; 14:962–970.
IV	
   No	
  pref	
  
6.8%	
  
n	
  =	
  16	
  
n	
  =	
  4	
  
1.7%	
  
3.5%	
  
n	
  =	
  11	
  
94.7%	
  
n	
  =	
  54	
  
1.8%	
  
n	
  =	
  1	
  
7.8%	
  
n	
  =	
  14	
  
1.7%	
  
n	
  =	
  3	
  
90.5%	
  
n	
  =	
  162	
  
91.5%	
  
n	
  =	
  216	
  
SC	
  
CONCLUSION	
  
•  Analysis	
  of	
  the	
  compound	
  
– Define	
  the	
  appropriate	
  quesEon	
  
•  Define	
  the	
  type	
  of	
  trial	
  
–  	
  Superiority,	
  Equivalence,	
  Non-­‐inferiority…	
  
– Non-­‐inferiority	
  trials	
  become	
  more	
  and	
  more	
  
common	
  
•  Define	
  the	
  endpoints	
  
–  	
  Primary	
  endpoint	
  
– 	
  	
  Secondary	
  endpoints	
  
CONCLUSION	
  
•  Follow	
  the	
  guidelines	
  of	
  regulatory	
  agencies	
  
•  Learn	
  to	
  interpret	
  the	
  results	
  within	
  the	
  
defined	
  quesEon	
  
•  Define	
  the	
  impacy	
  for	
  clinical	
  pracEce	
  

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Jean Marc Nabholtz : Médicaments biologiques : Critères d’enregistrement et de developpement

  • 1. Médicaments biologiques: Critères d’enregistrement et de developpement Prof. Jean Marc NABHOLTZ Director ,Division of Clinical Research, Jean Perrin Comprehensive Cancer Center of Auvergne, Clermont-Ferrand, FRANCE Professor and Former Director, Cancer Therapy Development Program University of California at Los Angeles (UCLA), CA, USA Founder and Past Chairman, Breast Cancer International Research Group (BCIRG) Jean Perrin Comprehensive Cancer Center of Auvergne Clermont-Ferrand - France .
  • 2. Breast Cancer Drug Development NEW SINGLE AGENT 2nd LINE M+ 1st LINE M+ ADJUVANT NEW COMBINATIONS M + Nabholtz et al. SABCS
  • 3. Trial design •  The quality of a clinical trial depends upon its design •  A good quality trial should –  ask a good question –  Define the proper patient population
  • 4. Analysis of trial findings •  Main analysis specified by the Statistical Plan (SAP) – Scientific Hypothesis –  Sample size – Patient population à Nb of Events •  Intent to Treat+++ •  Evaluable •  Use hazard ratio/confidence intervals in preference to p-values SAP, statistical analysis plan
  • 5. •  Use appropriate key endpoint(s) to determine the answer: –  PFS –  TTF –  Response –  Clinical benefit (Hormonotherapy/ targeted therapies…) –  Overall survival •  Concept of Therapeutic Index •  Quality of life Analysis of trial findings
  • 6. 6 « Document réservé à l’usage exclusif des médecins régionaux/centres investigateurs » Scénarios critère principal X Pivot et al, ESMO 2012, LBA5_PR Équivalent Supérieur Non Inférieur Inférieur A B C D E 0,85 1 1,15 1,3 1,45 1,6 HR Pivot X. et al. SABCS 2012
  • 7. 7 « Document réservé à l’usage exclusif des médecins régionaux/centres investigateurs » Equivalence 7 Traitement  Expérimental  (CT-­‐P6)   Absence  d’effet   ORR   Equivalence   Non   équivalence   Traitement de Référence (T) -­‐15      15     Non   équivalence   On accepte que C fasse un peu moins bien ou un peu mieux que T de 15% en ORR H0 : |T – C| ≥ M vs. H1 : |T – C| < M 0  
  • 8. 8 « Document réservé à l’usage exclusif des médecins régionaux/centres investigateurs » Non Inferiority 8 Experimental  Therapy   No  effect   Non  Inferiority   Reference  rherapy)   Inferiority   0   Unilateral  SituaJon  
  • 9. 13  December  2012  EMA/CHMP/205/95/Rev.4/   Guidelines  on  the  evaluaEon    of  anEcancer  medicinal  products  in  man     1.  Significant  clinical  benefit  based  on  improved  efficacy     Efficacy  greater  than  that  of  an  authorised  medicinal  product  should   be  assessed  using  clinically  meaningful  endpoint(s)  in  adequate  and   well-­‐controlled  clinical  trials.     2.  Significant  clinical  benefit  based  on  improved  safety     Non  inferiority  on  efficacy  and  robust  improved  safety.     3.  Significant  clinical  benefit  based  on  major  contribuJon  to   paJent  care     A  new  mode  of  administraEon  could  be  considered  a  clinical  benefit.    
  • 10. 13  December  2012  EMA/CHMP/205/95/Rev.4  Oncology     Guidelines  on  the  evaluaEon     of  anEcancer  medicinal  products  in  man       •  Acceptable  primary  endpoints  include  cure   rate,  OS  and  PFS/DFS.     •  If  PFS/DFS  is  the  selected  primary  endpoint,   OS  should  be  reported  as  a  secondary  and  vice   versa.    
  • 11. FDA Approvals of Oncology Drugs: 1990–2002 —  A review of FDA approvals has shown that during the period 1990–2002 —  only 32% of the regular marketing authorizations used OS as the basis for approval —  progression-based and ORR endpoints were the dominant clinical endpoints used to support marketing authorizations —  In first-line mBC, 100% of all regular marketing authorizations were based on progression-based or ORR endpoints Johnson, et al. JCO 2003
  • 12. Recommended Clinical Endpoints Vary Between Regulatory Bodies: FDA • United States Food and Drug Administration (FDA) – recommends OS as the primary trial endpoint in oncology FDA guidance for industry 2009 “The analysis of overall survival may be confounded by cross-over and/or subsequent therapies. PFS, measured prior to the introduction of other therapies, may more accurately depict a treatment’s therapeutic effect.” FDA Oncology Head Richard Pazdur “PFS can reflect tumor growth and be assessed before the determination of a survival benefit. Its determination is not confounded by subsequent therapy.” FDA guidance for industry: clinical trial endpoints for the approval of cancer drugs and biologics
  • 13. Primary Endpoint of MBC Trials (by time) Verma et al Oncologist 2011
  • 14. Only 12% of all MBC trials have shown an improvement in OS Verma et al Oncologist 2011 PFS, progression-free survival; OS, overall survival; TTP, time-to-progression NR – Not Reported
  • 15. Median TTP, mo 7.4 4.6 .0001 Response Rate, % 50 32 .0001 Median duration 9.1 6.1 .0001 of response, mo Median TTF, mo 6.6 4.5 .0001 Chemotherapy ± Herceptin as First-Line Therapy (H0648g): Summary of Benefits H + CT (n = 235) CT (n = 234) Slamon et al. N Eng J Med, 2001. P value
  • 16. 5 15 25 35 45 Months 0.2 0 0.4 0.6 0.8 1.0 Herceptin + CT CT ProbabilityAlive Overall Survival RR = .80 p = .046 20.3 mo 25.1 mo 65 % of CT group crossed over to Herceptin Comparative Study H0648g Slamon et al. N Eng J Med, 2001.
  • 17. 0 10 20 30 40 50 Months 0.0 0.2 0.4 0.6 0.8 1.0 Herceptin +Chemo (n = 169) Chemo Alone (n = 176) Risk ratio = 0.70 p=0.007 95% Cl = 0.54, 0.91 Survival Chemotherapy +/- Herceptin, 1st line MBC Clinical Outcomes Analysis FISH -FISH+ Probability 0 10 20 30 40 50 Months 0.0 0.2 0.4 0.6 0.8 1.0 Herceptin + Chemo (n = 50) Chemo Alone (n = 56) Risk ratio = 1.13 p=ns 95% Cl = 0.72, 1.79 Nabholtz et al. Semin Oncol, 2000.
  • 18. Breast Cancer Drug Development NEW SINGLE AGENT 2nd LINE M+ 1st LINE M+ ADJUVANT NEW COMBINATIONS M + Updated Nabholtz et al. SABCS 1994.NEOADJUVANT
  • 19. pCR  CORRELATES  WITH  BETTER  EFS     IN  SUBSETS  OF  BC  INCLUDING  HER2+  BC   A  FDA  led  Meta-­‐analysis  (N=11,955  paJents  /  1,989  HER2+)     Cortazar;  Lancet  2014  (in  press)   San  Antonio  Breast  Cancer  Symposium  -­‐  Cancer  Therapy  and  Research  Center  at  UT  Health  Science  Center  –  December  10-­‐14,  2013   This  presentaEon  is  the  intellectual  property  of  the  presenter.    Contact  marEne.piccart@bordet.be  for  permission  to  reprint  and/or  distribute   Trastuzumab   No  Trastuzumab   pCR  rates  (%)  
  • 20. Lum A Lum B/HER2- Lum B/HER2+ non lum/ HER2+ TN all pCR pCR  to  predict  breast  cancer  outcome?   von Minckwitz et al. JCO 2012
  • 21. SUBPOPULATION   DEFINITION   REGIMEN   N   MEDIAN  FU   (MONTHS)   DFS     p-­‐value   pCR  vs  non-­‐ pCR   OS   p-­‐value     pCR  vs   non-­‐pCR  HR   95%  CI   HR   95%  CI   HER2  SUBGROUP   HER2+   -­‐  CT  with  Trastuzumab   -­‐  CT  without  Trastuzumab   665   662   46.3   2.85   2.10   [1.69-­‐4.83]   [1.27-­‐3.48]   <0  .001   0.04   14.11   2.05   [1.93-­‐103.03]   [1.03-­‐4.10]   0.009**   0.04*   Luminal  HER2+   Pure  HER2+   -­‐  CT  with  Trastuzumab   -­‐  CT  without  Trastuzumab   -­‐  CT  with  Trastuzumab   -­‐  CT  without  Trastuzumab   356   395   298   239   46.3   1.227     1.180     8.738   3.953   [0.63-­‐2.37]   [0.59-­‐2.36]    [3.17-­‐24.12]    [1.89-­‐8.28]   n.s.   n.s.   <  0.001**   <  0.001**   29.72     0.94     13.80   4.91   [0.63-­‐>1.000]     [0.37-­‐2.41]     [1.87-­‐102]    [1.75-­‐13.77]   n.s.   n.s.   0.01**   0.002**   TRIPLE  NEGATIVE  SUBGROUP   HR-­‐/HER2-­‐   -­‐  Anthracyclines/Taxanes  or,   -­‐  Taxanes/AnJmetabolites  or,   -­‐Anthracylines/Taxanes/AlkylaJng   agents   911   46.3   6.020   [3.92-­‐9.25]   <0.001**   12.41   [5.82-­‐26.49]   <0.001**   von  Minckwitz  G,  et  al,     J  Clin  Oncol  2012   pCR to predict breast cancer outcome?
  • 22.
  • 23. Generated 27NOV13 17:07 by F_EFS4LandmarkHR_slide.sas (r3892) from data as of 13 ' Generated 27NOV13 17:07 by F_EFS4Landmark_slide.sas (r3892) from data as of 13-NOV-2013 11:21 (UTC) ' LANDMARK  ANALYSIS:  EFS  BY  PCR   All  paJents   This  presentaEon  is  the  intellectual  property  of  the  presenter.    Contact  marEne.piccart@bordet.be  for  permission  to  reprint  and/or  distribute   San  Antonio  Breast  Cancer  Symposium  -­‐  Cancer  Therapy  and  Research  Center  at  UT  Health  Science  Center  –  December  10-­‐14,  2013   Tests  for  interacJon:  pCR  x  HR  p=0.34   Generated 27NOV13 17:07 by F_EFS4LandmarkHR_slide.sas (r3892) from data as of 13- '
  • 24. Tests  for  interacJon:     Lap  +  Tras  vs.  Tras  x  pCR,  p=0.42   Lap  vs.  Tras  x  pCR,  p=0.94   LANDMARK  POPULATION  BY  ARM:  EFS  BY  PCR   This  presentaEon  is  the  intellectual  property  of  the  presenter.    Contact  marEne.piccart@bordet.be  for  permission  to  reprint  and/or  distribute   San  Antonio  Breast  Cancer  Symposium  -­‐  Cancer  Therapy  and  Research  Center  at  UT  Health  Science  Center  –  December  10-­‐14,  2013   Generated 27NOV13 17:08 by F_EFS4LandmarkTrt_slide.sas (r3892) from data as of 13-NOV-2013 11:21 (UTC) ' Generated 27NOV13 17:08 by F_EFS4LandmarkTrt_slide.sas (r3892) from data as of 13-NOV-2013 11:21 (UTC) ' Generated 27NOV13 17:08 by F_EFS4LandmarkTrt_slide.sas (r3892) from da ' '
  • 25. Generated 27NOV13 17:23 by F_OS4LandmarkHR_slide.sas (r3897) from data as of 13-N ' Generated 27NOV13 17:23 by F_OS4LandmarkHR_slide.sas (r3897) from data as of 13-NOV-2013 1 Generated 27NOV13 17:08 by F_OS4Landmark_slide.sas (r3893) from data as of 13-NOV-2013 11:21 (UTC) ' LANDMARK  ANALYSIS:  OS  BY  PCR   All  paJents   This  presentaEon  is  the  intellectual  property  of  the  presenter.    Contact  marEne.piccart@bordet.be  for  permission  to  reprint  and/or  distribute   San  Antonio  Breast  Cancer  Symposium  -­‐  Cancer  Therapy  and  Research  Center  at  UT  Health  Science  Center  –  December  10-­‐14,  2013   Tests  for  interacJon:  pCR  x  HR  p=0.36  
  • 26. pCR  en  Europe   The  note  for  guidance  does  not  address  the  possible  use  of   pathological  complete  remission  (pCR)  as  primary  endpoint  in   neoadjuvant  trials  for  high-­‐risk  early-­‐stage  breast  cancer     Currently,  there  is  liqle  regulatory  experience  with  this   endpoint  and  the  published  data  are  limited.  Further   experience  and  robust  prospecJve  clinical  data  are  warranted   before  firm  recommendaJons  can  be  made.     27  November  2012  EMA/768937/2012  Answers  from  the  CHMP  ScienEfic  Advisory  Group  (SAG)   for  Oncology  for  Revision  of  the  anEcancer  guideline     hep://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformaEon/Guidances/ UCM30550  1.pdf)      
  • 27. 13  December  2012  EMA/CHMP/205/95/Rev.4/   Guidelines  on  the  evaluaEon    of  anEcancer  medicinal  products  in  man     1.  Significant  clinical  benefit  based  on  improved  efficacy     Efficacy  greater  than  that  of  an  authorised  medicinal  product  should   be  assessed  using  clinically  meaningful  endpoint(s)  in  adequate  and   well-­‐controlled  clinical  trials.     2.  Significant  clinical  benefit  based  on  improved  safety     Non  inferiority  on  efficacy  and  robust  improved  safety.     3.  Significant  clinical  benefit  based  on  major  contribuJon  to   paJent  care     A  new  mode  of  administraEon  could  be  considered  a  clinical  benefit.    
  • 28. Phase III, non-inferiority trial Stratification factors Breast cancer type (operable vs. locally advanced vs. inflammatory) Oestrogen receptor status (positive vs. negative vs. unknown) Secondary endpoints PK: Observed Ctrough at pre-dose cycle 13; predicted Ctrough for pre-dose Cycle 8 and 13 Efficacy: tpCR (pCR in breast and axilla); overall response rate and time to response; event-free and overall survival Safety (including immunogenicity) HER2+  EBC   (N=596)   A  trastuzumab   B  trastuzumab   surgery   Follow-­‐up:  24  mo   pCR   18  cycles/  1year   Docetaxel 75 mg/m2 FEC 500/75/500 Neo-­‐adjuvant   Adjuvant   R   1  :1  
  • 29. HannaH:  Both  co-­‐primary  endpoints  met   PK Efficacy Difference in pCR rate: 4.7%† (95% CI: –4.0, 13.4) Geometric mean ratio: 1.33* (90% CI: 1.24, 1.44) SerumCtroughlevels pCRinthebreast Trastuzumab SC (n = 234) Trastuzumab IV (n = 235) Trastuzumab SC (n = 260) Trastuzumab IV (n = 263) 51.8 µg/mL 69.0 µg/mL 45.4% 40.7% 100 75 50 25 0 100 75 50 25 0 Trastuzumab SC demonstrated a comparable efficacy and PK profile to the IV formulation * Non-inferiority margin for the ratio between groups of 0.80 † Non-inferiority margin for the difference between groups of –12.5% CI, confidence interval Ismael G, et al. Lancet Oncol 2012; 13:869–878.
  • 30. PrefHer:  PaEents  overwhelmingly   preferred  trastuzumab  SC  over  IV   SC preferred (exact binomial): Overall = 91.5% (95% CI 87.2% to 94.7%) Pivot X, et al. Lancet Oncol 2013; 14:962–970. IV   No  pref   6.8%   n  =  16   n  =  4   1.7%   3.5%   n  =  11   94.7%   n  =  54   1.8%   n  =  1   7.8%   n  =  14   1.7%   n  =  3   90.5%   n  =  162   91.5%   n  =  216   SC  
  • 31. CONCLUSION   •  Analysis  of  the  compound   – Define  the  appropriate  quesEon   •  Define  the  type  of  trial   –   Superiority,  Equivalence,  Non-­‐inferiority…   – Non-­‐inferiority  trials  become  more  and  more   common   •  Define  the  endpoints   –   Primary  endpoint   –     Secondary  endpoints  
  • 32. CONCLUSION   •  Follow  the  guidelines  of  regulatory  agencies   •  Learn  to  interpret  the  results  within  the   defined  quesEon   •  Define  the  impacy  for  clinical  pracEce