Title: The NCI Approach To Drug Development
1The NCI Approach To Drug Development
- Edward A. Sausville, M.D., Ph.D.
- Developmental Therapeutics Program
- National Cancer Institute
2Goals Of Preclinical Drug Studies
Scientific framework
- Discovery of lead structures
- Refinement chemistry, pharmacology, efficacy
Early development - Late development formulation, dose form,
toxicology
3Goals Of Preclinical Drug Studies
Regulatory framework
- IND Investigational New Drug application
- approval by FDA to conduct human studies
- main criterion SAFETY AND LIKELY REVERSIBLE
TOXICITY allows start of Phase I trials
- NDA New Drug Application
- basis for sale to public
- main criteria SAFETY AND SOME MEASURE OF
EFFICACY result of Phase II/III trials
4Cancer DrugsHow Do We Know We Have A Winner?
- PHASE III CLINICAL TRIAL WINNER
- PHASE II POTENTIAL WINNER
Time?
- PRECLINICAL MODEL (e.g., mouse or rat)
Cytotoxic
5Cancer Drugs How To Pick A Winner?
VALIDATED CANCER TARGETS
- DNA
- Alkylators
- Antimetabolites
- Topo I / II
- Tubulin
- Receptors
- Nuclear
- Cell Surface (Immune?)
- Oncogene Proteins (2001 AT LAST!)
6Empirical Drug Discovery
7Problems With Empirical Models
- Lack of predictive power in vivo
- Poor correlation of non-human with human
pharmacology - Divorced from biology
- Inefficient many compounds screened
- developed, but have late clinical trials
outcome - at Phase III to define validation of compound
action
8KRN5500
Cell Membrane
9Effect Of KRN5500 On Colo-205 Athymic Mouse
Xenografts
10KRN5500 Plasma Concentrations On Effective
Schedule(20 mg/kg/d) In Mice
Plasma Concentration (?M)
Time (days)
11Summary Of KRN5500 Phase I
- 26 patients as IV once per day over 5 days
- Dose limiting toxicity interstitial
pneumonitis - MTD 2.9 mg/M2/d x 5
- Achieve only 0.75 - 1 ?M at 3.7 mg/M2/d x 5
- 4/6 patients with gt25 incr Cmax have
grade 4 toxicity
Data of J. P. Eder, DFCI
12In Vivo i.e., Intact Animal Tumor Models
- The information received depends on the
question asked - not all models are appropriate for all questions
- Drugs need different types of models at
different times - in their discovery / development life cycle
- Pharmacology models to qualify compound
- Efficacy models to define potential for
biologic effect - Target driven
- Target unselected
- Biology models to confirm ONLY the target
- or molecular events related to target are affected
13 In Vivo Activity vs Clinical Activity (39 Agents)
14Rational Drug Discovery
PHARMACOLOGY (to affect target)
MOLECULAR TARGET SCREEN
Biochemical Engineered cell Animal
(yeast/worm/fish)
CHEMISTRY
15How To Build A Cancer Cell
Cancer cells possess defined families of
lesions with common outcomes
- Misfiring or Abnormality of Cell Cycle
- Imbalance of Genes Regulating Cell Death
- Immortality / Telomerase
- Angiogenesis / Invasion Phenotype
- Oncogenes turned on - Suppressor genes
turned off - Mimic Growth Regulatory Signal
Transduction
G0
Tumor Size
(After Varmus, Bishop, Weinberg, Croce, Folkman,
Hanahan etc.)
16Molecular Target Definition - How To?
- BIOLOGY
- RETROFIT ACTIVE MOLECULES
- CLASSICAL
- CHEMICAL GENETICS
Cytogenetics Breakpoints
Molecules (bcr-abl) Positive
selection from tumor DNA Active
oncogenes (signal transduction) Tumor
gene expression profiling (CGAP) Binding
partners (geldanamycin, rapamycin, fumagillin)
Computational algorithm (molecule
target) Cell metabolism / Cell cycle
effects Suggest single targets
Inefficient Libraries of molecules and
precisely defined organisms
- COMPARE - Cluster analysis
17bcr-abl As Target Rationale
- Apparently pathogenetic in t9Q22 (Ph) CML/ALL
- Absence in normal tissues
- Modulate signal transduction events downstream
Maintenance of chronic phase Adjunct to bone
marrow transplantation
18bcr-abl Fusion Protein
bcr
SH2
SH2
V
SH2/SH3
kinase
NT
DNA
Actin
bcr
autophosphorylation
Phosphorylation of other substances
McWhirter JR, EMBO 121533, 1993
19Example Of Rational Approachbcr-abl directed
agents
Natural product empiric lead 1st
generation synthetic 2nd generation synthetic
in clinic
erbstatin
lavendustin
piceatannol
AG957
AG1112
CGP 57148B STI571
20STI571An Oral In Vivo Bcr-abl Kinase Inhibitor
(days)
(hrs)
(days)
Tyr phosphorylation in vivo
Antitumor activity in vivo
le Coutre et al, JNCI 91163, 1999
21Efficacy And Safety Of A Specific Inhibitor Of
The Bcr-abl Tyrosine Kinase In Chronic Myeloid
Leukemia
BRIAN J.DRUKER,M.D.,MOSHE TALPAZ,M.D.,DEBRA
J.RESTA,R.N.,BIN PENG,PH.D., ELISABETH
BUCHDUNGER,PH.D.,JOHN M.FORD,M.D.,NICHOLAS
B.LYDON,PH.D.,HAGOP KANTARJIAN,M.D., RENAUD
CAPDEVILLE,M.D.,SAYURI OHNO-JONES,B.S.,AND
CHARLES L.SAWYERS,M.D.
Ph Chromosome Cells
White Cell Count
in Metaphase
(cells x 10-3 / mm3)
Duration of Treatment with STI571 (Days)
NEJM 344 1031, 2001
22NCI Drug Discovery
A Marriage Of Empirical And Rational
Opportunities
- Aids to find targets / link targets with drugs
- -Cancer Genome Anatomy Project (CGAP)
- -Developmental Therapeutics Program In Vitro Drug
Screen - Where the target is known build its assessment
into the selection and development of a compound
e.g., 17-allylamino 17-demethoxy geldanamycin
(17-AAG) - Where the target is unknown, define it or a
proximal indicator of effect in parallel with
conventional development path e.g., UCN-01
protein kinase inhibitor
23Cancer Genome Anatomy Project PROCESS
24Gene Expression The Cells Fingerprint
Establishing for a cell the repertoire of genes
expressed, together with the amount of gene
products produced for each, yields a powerful
"fingerprint". Comparing the fingerprints of a
normal versus a cancer cell will highlight genes
that by their suspicious absence or presence
(such as Gene H ) deserve further scientific
scrutiny to determine whether such suspects play
a role in cancer, or can be exploited in a test
for early detection.
http//cgap.nci.nih.gov
25NCI In Vitro Drug Screen
26All Cell Lines
100
50
0
Percentage Growth
-50
-100
-7
-9
-8
-6
-5
-4
Log10 of Sample Concentration (Molar)
27Pattern Recognition AlgorithmCOMPARE
- Goal COMPARE degree of similarity of a new
- compound to standard agents
- Calculate mean GI50, TGI or LC50
- Display behavior of particular cell line as
deflection - from mean
- Calculate Pearson correlation coefficient
1 identity 0 no correlation
28Agents With Similar Mechanisms HaveSimilar Mean
Graphs
Leukemia NSCLC Small Cell Lung Colon CNS Me
lanoma Ovarian Renal
Taxol
Halichondrin B
Daunorubicin Topoisomerase II
Tubulin
29Drug Target ClusteringsReveal Clues To Mechanism
Nature Genetics 24 236, 2000 http//dtp.nci.nih.
gov
30Geldanamycin Structure
31Benzoquinoid AnsamycinsInitial Cell Pharmacology
- Reduce levels or inhibit transformation by a
large number of PTKs src, yes, fps, erbB1, lck - e.g., 17AAG decrease erbB2 under conditions where
overall transcription/translation little affected
150 100 50 0
MDA MB 453
p185 Protein p185 PY
Control
Hours
(Miller et al, Cancer Res 54 2724, 1994)
32DTP, NCI In Vivo EvaluationOf Geldanamycin In
PC3 Prostate CA
Early Stage, Athymic Mouse Xenograft
Route of administration i.p.
Conclude Narrow therapeutic index on this
schedule Solubility of agent major problem for
other schedules
33Geldanamycin Bead
34Geldanamycin BeadsIdentify Hsp90 As Binding
Partner
1) Bead-Geld 2) Bead-Geld Geld
3) Bead-Geld Geldampicin 4) Bead
Neckers et al, PNAS 918324, 1994
35Hsp 90
C.
A.
B.
36Three Dimensional View Of Geldanamycin Binding
Pocket In Amino Terminus Of Hsp90
Stebbins et al, Cell 89239, 1997
3717-AAG Binds To Hsp90 Shares Important Biologic
Activities With Geldanamycin
erbB2 ( of base line)
Raf-1 ( of base line)
dose (nM)
dose (nM)
Schulte Neckers, Cancer Chemother Pharmacol 42
273, 1998
38UCN-01
IC50
Potent antiproliferative agent Cell cycle
arrest DNA-damage G2 checkpoint abrogation
37nM 300-600 nM 50nM
(DTP screen)
39A DNA Damage G2 Checkpoint Is Mediated By CDKs
UCN-01 Action
40UCN-01 Infusional Phase I TrialG2 Checkpoint
Abrogation
G2 checkpoint abrogation
G2 checkpoint abrogation
nM UCN-01
UCN-01 (mg/m2/day)
41Challenges In Pursuing TheMolecular Therapeutics
Of Cancer
- Must change thinking from histologic to
molecular - diagnoses (CGAP, array technology)
- Develop new means (imaging, probes) to assess
- molecular pharmacodynamics
- Must move away from cytotoxicity as sole
primary - endpoint assess and evaluate cytostatic effect
- Promote patient participation in clinical
trials - Develop speed and efficiency in answering
critical - clinical questions
42Goals For Cancer Drug ScreeningIn The New
Millennium
- Associate novel chemotypes with defined targets
- may utilize purified targets at the front end
- may define targets in pathway/organisms
- may retrofit molecules to targets or pathways
- by statistical approaches
- Allows facile tools for chemical/pharmacological
- optimization
- Define targets of relevance to and translatable
in - early clinical trials
43SummaryDevelopmental Therapeutics Program, NCI
- Novel agents directed at molecular targets
- important to cancer pathogenesis
- and progression
- Interdisciplinary collaborators academia,
- industry, intramural NCI
- Contribute agents and regimens for use by
- intra / extramural investigators
44Acknowledgements
NCI
V. Narayanan, R. Schultz J. Johnson, S. OBarr M.
Hollingshead, S. Stinson L. Rubinstein A.Monks,
N. Scudiero K. Paull, D. Zaharevitz, S. Bates S.
Holbeck, J. Weinstein A. Senderowicz A. Murgo, S.
Arbuck G. Kaur, P. Worland, Q. Wang P.
OConnor L. Neckers, L. Whitesell D. Newman
H. Piwnica-Worms Wash U V. Pollack
Pfizer M. Roberge U. Brit. Columbia
45Our next speaker is Ms. Shannon Decker Office
of the Associate Director Developmental
Therapeutics Program