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Dr. Bhaswat S. ChakrabortySenior Vice President and Chairman,
R&D Science Core Committee, Cadila Pharmaceuticals Ltd.
National Conference on Innovation in Pharmaceutical Industry
L.J. Institute of Pharmacy 28th January 2012
Contents Clinical Development of a New Drug
Endpoint considerations
Merits and demerits
Overall survival
Tumor assessment based endpoints
QoL, biomarkers and symptom trial
Trial designs
Concluding comments
Clinical Development of New DrugsDevelopment Plan
Define target disease population
Dose range and schedule at which the drug can be shown to be simultaneously safe and effective, to the extent that the risk-benefit relationship is acceptable
Satisfying these broad aims usually requires an ordered program of clinical trials, each with its own specific objectives (ICH E8).
A marketing application should clearly describe the main content of such plans, and the contribution made by each trial.
A statistical summary, overview, or meta-analysis may be informative when medical questions are addressed in more than one trial.
Other major statistical issues (if any) that are expected to affect a number of trials in a common plan should be addressed in that plan
Cancer Research TodayResearch is conducted mainly on
New DrugsNew CombinationsRadiotherapySurgery
In the West, research is usually done by large co-operative groups, in addition to those mentioned for India
In IndiaLarge PharmaceuticalsCo-operative Groups, e.g., ICON (Indian Co-operative Oncology Network)
Regional Cancer Centres & Govt. sponsored studiesAcademia
What does FDA Look for in a Ca RCT?
FDA approves a drug application based onSubstantial evidence of efficacy & safety from “adequate
and well-controlled investigations” A valid comparison to a controlQuantitative assessment of the drug’s effect
(21 CFR 314.126.)
The design of cancer trials intended to support drug approval is very important
Oncology based NDAs are usually reviewed on fast track
Endpoints in Oncology Trials
Must show either direct evidence of clinical benefit or improvement in an established surrogate for clinical benefit
Clinical benefit: survival improvement Overall survival (OS)Progress-free survival (PFS)
Improvement in a patient’s quality of life (QOL)Other endpoints on which approval has been given are:
Objective response rate (ORR) by RECIST or any radiological tests or physical examinations
Improvement in survival, improvement in a QOL, improved physical functioning, or improved tumor-related symptoms do not always be predicted by, or correlate with, ORR
So, the Endpoint Metrics are:Time to event end points
SurvivalDisease free survivalProgress -free survival
Objective response ratesCompletePartialStable diseaseProgressive disease
Symptom end pointsPalliationQoL
Relative Merits
Endpoint Evidence Assessment Some Advantages Some Disadvantages
Survival Clinical benefit RCT needed Blinding not essential
Direct measure of benefit Easily measured Precisely measured
Requires larger and longer studies Potentially affected by crossover therapy Does not capture symptom benefit Includes noncancer deaths
Disease-Free Survival (DFS)
Surrogate for accelerated approval or regular approval*
RCT needed Blinding preferred
Considered to be clinical benefit by some Needs fewer patients and shorter studies than survival
Not a validated survival surrogate in most settings Subject to assessment bias Various definitions exist
Relative Merits..Endpoint Evidence Assessment Some Advantages Some Disadvantages
Objective Response Rate (ORR)
Surrogate for accelerated approval or regular approval*
Single-arm or randomized studies can be used Blinding preferred in comparative studies
Can be assessed in single-arm studies
Not a direct measure of benefit Usually reflects drug activity in a minority of patients Data are moderately complex compared to survival
Complete Response (CR)
Surrogate for accelerated approval or regular approval*
Single-arm or randomized studies can be used Blinding preferred in comparative studies
Durable CRs represent obvious benefit in some settings (see text) Can be assessed in single-arm studies
Few drugs produce high rates of CR Data are moderately complex compared to survival
Overall Survival (OS)OS: The time from randomization until death from any causeMeasured usually in the intent-to-treat (ITT) populationMost reliable cancer endpoint, and when studies can be
conducted to adequately assess survival, it is usually the preferred endpoint
Precise and easy to measureBias is not a factor in endpoint measurementSurvival improvement should be analyzed as a risk-benefit
analysis to assess clinical benefitOS should be evaluated in RCTs
Historical trials are seldom reliable for time-dependent endpoints (e.g., OS, PFS).
Rosell et al., Annals of Oncology 19: 362–369, 2008
Endpoints Based on Tumor AssessmentsDisease-free survival (DFS)Objective response rate (ORR)Time to tumor progression (TTP)Progress-free survival (PFS)Time-to-treatment failure (TTF)They are all time-dependent endpointsCollection and analysis of these endpoints are based on indirect
assessments, calculations, and estimates (e.g., tumor measurements)Two critical judgments:
1. whether the endpoint will support either accelerated approval or regular approval
2. endpoint should be evaluated for the potential of bias or uncertainty in tumor endpoint assessments
Drug applications using studies that rely on tumor measurement-based endpoints as sole evidence of efficacy may need confirmatory evidence from a second trial
Rosell et al., Annals of Oncology 19: 362–369, 2008
Cautions in Tumor AssessmentsAccuracy in measuring tumors can differ among tumor settingsImprecision can happen in locations where there is a lack of
demarcated margins (e.g., malignant mesothelioma, pancreatic cancer, brain tumors).
When the primary study endpoint is based on tumor measurements (e.g., PFS or ORR), tumor endpoint assessments generally should be verified by central reviewers blinded to study treatments This measure is especially important when the study is not blinded It may be appropriate for the FDA to audit a sample of the scans to
verify the central review process
Quality of Life (QoL) EndpointsGlobal health-related quality of life (HRQL) have not served
as primary efficacy endpoints in oncology drug approvals
They are usually patient reported outcome measures For example, the FACT-L is a 44-item self-report instrument which measures
multidimensional quality of life in Phase II and III lung cancer clinical trials
Reliability and validity of such multi-item instruments must be thoroughly examined
For QOL to be used as primary endpoints to support cancer drug approval, the FDA should be able to distinguish between improvement in tumor symptoms and lack of drug toxicity
An apparent effectiveness advantage based on a global QoL instrument can simply indicate less toxicity rather than effectiveness
BiomarkersUsually not a good idea for cancer drug approvalOther than paraprotein levels measured in blood and urine for
myeloma, biomarkers assayed from blood or body fluids have not served as primary endpoints
Not considered good predictors of clinical benefit The FDA has sometimes accepted tumor markers as elements of a
composite endpointe,g., clinical events such as significant decrease in performance status,
or bowel obstruction in conjunction with marked increases in CA-125 was considered progression in ovarian cancer patients
Biomarkers, however, can be useful in identifying prognostic factors and in selection of patients and stratification factors to be
considered in study designs
Specific Symptom EndpointsTime to progression of cancer symptoms, an endpoint similar to TTP, is a
direct measure of clinical benefit rather than a potential surrogateProblems in measuring progression (e.g., missing assessments) also exist in
evaluating time to symptomatic progressionBecause few cancer trials are blinded, assessments can be biased
delay between tumor progression and the onset of cancer symptoms can occur alternative treatments are initiated before achieving the symptom endpoint,
confounding this analysis patients may have minimal cancer symptoms also, tumor symptoms can be difficult to differentiate from drug toxicity
Important composite symptom endpoint should have components of similar clinical
importance and the results should not be exclusively attributed to one component
missing data & infrequent treatment are also confounding factors
Trial DesignsRandomized Clinical Trials (RCTs)Gold standard in Phase IIISingle centre CT
Primary and secondary indicationsSafety profile in patientsPharmacological / toxicological characteristics
Multi-centre CTConfirmation of the aboveEffect sizeSite, care and demographic differencesEpidemiological determinationComplexityFar superior to meta-analyzed determination of effect
0
Dif
fere
nce
in C
linic
al E
ffic
acy
(Є)
= Meaningful Difference
Non-Inferiority
Equivalence
Inferiority
Superiority
-
+
Non-Superiority
Equality
Other Trial Designs..Single arm studies
no available therapy and where major tumor regressions can be presumed to be attributed to the tested drug
ORR and response duration measurements
Non-inferiority (NI) trials should demonstrate that the new drug is not less effective than a standard
regimen (the active control) by a prespecified amount (noninferiority margin) NI margin is some fraction of (e.g., 50 percent) of the control drug effect (assay
sensitivity) the control should have a well-characterized survival benefit If the new drug is inferior to the active control by more than the NI margin, it
will be presumed to be ineffective
Other approaches No Treatment or Placebo Control Studies Isolating Drug Effect in Combinations Studies for Radio- and Chemotherapy Protectants
Study Design: ApproachesRandomised Controlled Trials (RCT) most preferred
approachDemonstrating superiority of the new therapy
Other approachesSingle arm studies (e.g., Phase II)
e.g., when many complete responses were observed or when toxicity was minimal or modest
Equivalence TrialsNo Treatment or Placebo Control StudiesIsolating Drug Effect in Combinations Studies for Radio- and Chemotherapy Protectants
Placebo Control Equality TrialsNo anticancer drug treatment in the control arm is
unethicalSometimes acceptable
E.g., in early stage cancer when standard practice is to give no treatment
Add-on design (also for adjuvants) all patients receive standard treatment plus either no additional
treatment or the experimental drug
Placebos preferred to no-treatment controls because they permit blinding
Unless very low toxicity, blinding may not be feasible because of a relatively high rate of recognizable toxicities
Drug or Therapy CombinationsUse the add-on design
Standard + PlaceboStandard + Drug X
Effects seen in early phases of development Establish the contribution of a drug to a standard regimenParticularly if the combination is more effective than any of
the individual components
Concluding Remarks Clinical testing of new Oncology products is very sophisticated and complex
Cancer clinical data is very complex (censored, skewed, often fraught with missing data point), therefore, proper hypothesization and statistical treatment of data are required
There are many endpoints that are scientifically valid but OS as primary end point is often preferred by regulatory agencies
Tumor assessment trials may need another confirmatory CT
Endpoints must be demonstrative (directly or indirectly) of clinical benefit
Missing data, infrequent treatment, increased type I error and other confounding factors must be addressed
Prospective RCTs are usually the preferred approach for evaluation of new therapies
Despite good knowledge in endpoints & trial design, meet & consult FDA before initiating a pivotal trial.
Thank you Very Much