Registration for a live webinar on 'Precision medicine treatment for anticancer drug resistance' is now open.
See webinar detailsWe noted you are experiencing viewing problems
-
Check with your IT department that JWPlatform, JWPlayer and Amazon AWS & CloudFront are not being blocked by your network. The relevant domains are *.jwplatform.com, *.jwpsrv.com, *.jwpcdn.com, jwpltx.com, jwpsrv.a.ssl.fastly.net, *.amazonaws.com and *.cloudfront.net. The relevant ports are 80 and 443.
-
Check the following talk links to see which ones work correctly:
Auto Mode
HTTP Progressive Download Send us your results from the above test links at access@hstalks.com and we will contact you with further advice on troubleshooting your viewing problems. -
No luck yet? More tips for troubleshooting viewing issues
-
Contact HST Support access@hstalks.com
-
Please review our troubleshooting guide for tips and advice on resolving your viewing problems.
-
For additional help, please don't hesitate to contact HST support access@hstalks.com
We hope you have enjoyed this limited-length demo
This is a limited length demo talk; you may
login or
review methods of
obtaining more access.
- View the Talks
-
1. Adaptive clinical trials: overview 1
- Prof. Yu Shyr
-
2. Adaptive clinical trials: overview 2
- Prof. Yu Shyr
-
3. Bayesian adaptive designs for clinical trials
- Prof. Benjamin Saville
-
4. Adaptive clinical trial design: randomization
- Prof. Hao Liu
-
5. Adaptive designs for phase I trials 1
- Prof. Anastasia Ivanova
-
6. Adaptive designs for phase I trials 2
- Prof. Anastasia Ivanova
-
7. Case studies of adaptive early phase trials
- Prof. Daniel Normolle
-
8. Phase II clinical trials - traditional approaches
- Prof. Fei Ye
-
9. Phase II clinical trials - Bayesian methods
- Prof. Fei Ye
-
10. Seamless phase II/III trials
- Prof. Elizabeth Garrett-Mayer
- Mr. Nathaniel O’Connell
-
11. Frequentist approaches: sample size in adaptive clinical designs
- Prof. Tatsuki Koyama
-
14. Ethical issues in adaptive clinical trials
- Dr. Spencer Phillips Hey
-
15. Implementation of adaptive methods in early phase clinical trials
- Prof. Gina Petroni
-
16. Design early phase drug combination trials: methods
- Prof. Ying Yuan
-
17. Design early phase drug combination trials: software
- Prof. Ying Yuan
-
18. Adaptation in likelihood trials
- Prof. Jeffrey Blume
Printable Handouts
Navigable Slide Index
- Introduction
- Outline
- Phase I clinical trials
- Single-agent dose finding
- Drug combination
- Motivations for drug combination
- Challenges of drug combination trials (1)
- Challenges of drug combination trials (2)
- Challenges of drug combination trials (3)
- MTD contour
- Challenges of drug combination trials: summary
- Design combination trials
- Part I: drug-combination designs for single MTD
- Finding a single MTD
- Linearization approach: zig-zag path
- Linearization approach: linear path
- Linearization approach
- BOIN design (1)
- BOIN design (2)
- Finding MTD directly
- BOIN drug-combination design (1)
- BOIN drug-combination design (2)
- Dose escalation
- Dose de-escalation
- BOIN drug-combination design (3)
- BOIN drug-combination design (4)
- Part II: drug-combination designs for MTD contour
- Finding the MTD contour (1)
- Finding MTD contour is more challenging
- Robustness is an issue
- Finding the MTD contour (2)
- Divide and conquer
- Waterfall design (1)
- Waterfall design (2)
- Waterfall design (3)
- Transition between subtrials (1)
- Transition between subtrials (2)
- Selection of the MTD contour
Topics Covered
- Challenges of drug combination trials
- Phase I combination trial designs for finding a single MTD
- Linearization approach
- BOIN design
- Phase I combination trial design for finding the MTD contour
- Waterfall design
Talk Citation
Yuan, Y. (2017, May 29). Design early phase drug combination trials: methods [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 21, 2024, from https://doi.org/10.69645/NUBM3070.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Ying Yuan has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
Design early phase drug combination trials: methods
Published on May 29, 2017
29 min
A selection of talks on Pharmaceutical Sciences
Transcript
Please wait while the transcript is being prepared...
0:00
Hello. My name is Ying Yuan.
I'm a professor in Biostatistics
at MD Anderson Cancer Center.
Today I'm going to talk about
how to design early phase drug combination trial.
0:11
So here is outline of the talk.
First, I will talk about the challenges
for designing drug combination trials
then I will talk about some specific designs
for drug combination trial,
specifically, I will talk about
how to design a trial to find a single MTD,
and how to design a trial
to find its MTD contour.
Then I will introduce some software
to implement those designs,
and I will finish the talk
with a summary statement.
0:38
As we know, the primary objective
of phase I trial
is to find its maximum tolerated dose,
which is defined as a dose
with a specific targeted toxicity rate
like 30%.
So for single-agent trials,
the standard assumption is that
toxicity monotonically increases with the dose.
So in this case, we only find a dose
with a specific target toxicity rate.
1:01
And in this monotonic assumption means,
for the single-agent trial
the toxicity order is known.
And this greatly simplifies
the dose escalation and de-escalation.
For example, if we know the current dose
is below the MTD,
we only need to escalate the dose.
If we know the current dose
is above the MTD,
we only needed to de-escalate the dose.
1:24
In recent years, there is a lot of
interest in drug combination trial.
So if you look at the medical journal,
most of the published phase I trial
are drug combination trials.
And why people are interested
in drug combination trials
is it because they are looking for
synergistic treatment effect.