Title: Lessons Learned in T1 Research: mouse to human
1Lessons Learned in T1 Research mouse to human
- Jean Y. Tang MD PhD
- Assistant Professor
- Department of Dermatology
2Mechanism of disease
In vitro experiments
Animal studies
Human clinical trials
New drugs
Epidemiological studies
3Lessons learned challenges
- Jack of all trades, Master of none
- Journals
- Conferences
- Students and trainees
- Not that many role models
- find a true believer and the experts
- Slower time to publication
- Grants enthusiasm from NIH
4- KL2/K23 Mentors
- Ervin Epstein, Childrens Hospital Oakland
Research Institute - Mary-Margaret Chren, Dept of Dermatology, UCSF
- Charles McCulloch, Steve Cummings, Dept of
Epidemiology and Biostatistics, UCSF
5Translational Research in BCC
Screen for drugs in cell lines and Ptch1/- mice
Clinical trials in PTCH1 /- BCNS patients
Observational studies at Kaiser/UCSF
6Summary of chemopreventive agents against BCCs
In vitro Mice Observational studies Clinical Trials
Celecoxib (oral) ? ? mixed ? in subset
Statin No No No N/A
Vitamin D3 ?? ?? ? Biomarker study
Hh Antagonist (Genentech) ??? ???? none Enrolling RCT
Itraconazole (antifungal) ?? ?? none Biomarker study
7Challenge Lesson Learned
Celecoxib (oral) Combining mouse and RCT Statistics, finding the experts
Statins Difficulty in combining mouse and epidemiologic results (Kaiser) OK to disagree
Vitamin D3 Difficulty of doing it all yourself lab, mouse, pilot clinical trial 1Mentor and his lab SFCC, EpiBio mentors -Public databases
Hh Antagonist Collaborations with Genentech -Good to have lab skills -RCT design
Itraconazole Collaborations with basic lab FDA approved drug -Nice to collaborate -Time to start the pilot trial
8Epidemiology of BCC
- 1 million BCC cases per yr in US
- Estimated annual incidence of 0.1 to 0.5
- Rare risk of metastasis lt 0.5
- 5th most costly cancer for Medicare
-
- The age-adjusted incidence per 100,000 white
individuals 475 cases in men, 250 cases in women
- The estimated lifetime risk of BCC in the white
population is 33-39 in men and 23-28 in women. - Risk of second BCC 44 in 3 yr
9- BCC basic science
- Almost all BCCs have mutations in PTCH1 tumor
suppressor gene - All BCCs have increased Hedgehog signaling
10Hedgehog signaling pathway regulates cell
proliferation and growth
11Basal cell nevus syndrome
Basal cell nevus syndrome are PTCH1/-
12Ptch1/- mice mimic BCNS phenotype develop BCC
tumors after IR or UV treatment Goodrich and
Scott, Science 1997Aszterbaum, Oro, Scott,
Epstein Nature Medicine 1999
13Mechanism of disease
Roadmap for finding new therapeutics
Hedgehog pathway
BCC cell lines
In vitro experiments
Ptch1 /- mice
Animal models
PTCH1/- Basal cell nevus syndrome patients
Human clinical trials
Patients with sporadic BCCs
Epidemiological studies
14Summary of chemopreventive agents against BCCs
In vitro Mice Observational studies Clinical Trials
Celecoxib (oral) ? ? mixed ? in subset
Statin No No No N/A
Vitamin D3 ?? ?? ? Biomarker study
Hh Antagonist (Genentech) ??? ???? none Enrolling RCT
Itraconazole (antifungal) ?? ?? none Biomarker study
15Genetic deletion of Cox1 or Cox2 decreases
microscopic BCCs in Ptch1/- mice
IR-treated Ptch1/- mice wild type (n24),
deleted for Cox1 (n12) or for Cox2 (n6). Mean
and SEM. plt0.05 Cox1 and Cox 2 KO Smithies
Cell 1995
16Celecoxib decreases microscropic BCC burden in
Ptch1/- mice (plt0.05)
17- Study design Phase II randomized,
double-blinded, placebo controlled trial - Subjects 60 patients with Basal Cell Nevus
Syndrome (BCNS) - Treatment oral Celecoxib at 200mg BID versus
placebo for 24 months followed by 12 months of
observation - Primary endpoint change in BCC numbers during
study periods
18Baseline characteristics of study participants
are similar in two groups (mean and SD)
Placebo (N27) Celecoxib (N33)
Age 42 12 47 12
Number of BCC tumors greater than 3mm 24 27 45 76
Body Mass Index 31 1.3 30 1.1
Male 48 58
Caucasian 96 100
With gt15 BCCs at baseline 41 39
Seen at California site 59 55
19BCNS subject with low number of BCCs at baseline
(lt15 tumors)
20BCNS subject with high number of BCCs at baseline
(gt15 tumors)
21How to analyze BCC development
- Regession technique Linear mixed models
- Calcuates a slope or rate (number of BCCs/yr) for
each patient - Compare percent change in rate of BCCs in placebo
and celecoxib groups - Accounts for drop-outs
- Adjust for age, gender, BCC at baseline
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23Celecoxib reduces BCC development in subjects
with less severe disease (lt 15 BCCs)
24Lessons learned importance of finding a reliable
mouse model
- Ptch1/- mice are a reliable model for testing
new anti-BCC agents in humans - Moderate effect of celecoxib on BCCs in mice and
in BCNS patients - Greater effect on tumor size rather than number
in both mice and BCNS patients
25Lessons learned statistics
- Statistics linear mixed models for determining
slope of BCCs in RCT - Regression models for tumors in mice
- Go to class
- Building a database (and managing)
- Go to class
26Lessons learned
- Long time to publication
- Journals and co-authors disagree on whether to
present data from mice and clinical trial study
together - Cancer Prevention Research
27Summary of chemopreventive agents against BCCs
In vitro Mice Observational studies Clinical Trials
Celecoxib (oral) ? ? mixed ? in subset
Statin No No No N/A
Vitamin D3 ?? ?? ? Biomarker study
Hh Antagonist (Genentech) ??? ???? none Enrolling RCT
Itraconazole (antifungal) ?? ?? none Biomarker study
28New and relatively safe agents that decrease
Hedgehog signaling
Cyclopamine
Smo
Gli
Corcoran and Scott, Proceedings of the Natl Acad
Sci 2006 Bijlsma and Peppelenbosch, PLOS Biology
2007
29Mechanism of disease
Statins blocks Hedgehog pathway
BCC cell lines
In vitro experiments
Ptch1 /- mice
Animal models
Human clinical trials
Statin therapy and risk of subsequent BCCs in
Kaiser cohort
Epidemiological studies
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31Lessons learned
- Have a good biomarker or target gene (Gli1 mRNA)
- Have a good way to measure bioavailability
(24OHase) - Have a reliable cell line
32Vitamin D3 decreases Gli mRNA in BCC cells
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34Topical Vitamin D3 decrease BCC development by
50 (plt0.05)
35Topical vitamin D3 decreases BCC development in
mice
Unadjusted p value Adjusted p value
Vitamin D3 -62 .008 -53 .042
1,25(OH)2D -36 .39 -33 .43
Statin -58 .10 -40 .30
Adjusted for gender and coat color of mouse
36Lessons learned
- Have a good biomarker or target gene (Gli1 mRNA)
- Have a good way to measure bioavailability
(24OHase) - Pilot trial of topical and oral vitamin D on
human BCC
37Mechanism of disease
Vit D3 blocks Hedgehog pathway
BCC cell lines
In vitro experiments
Ptch1 /- mice
Animal models
PTCH1/- Basal cell nevus syndrome patients
Human clinical trials
Vit D3 levels in BCC pts
Epidemiological studies
38Lesson Learned
- Translating from mouse studies to epidemiologic
studies (skip the human clinical trial/pilot) - Mouse to Epi (Ralph Gonzalez)
39- The association of serum vitamin D with skin
cancer risk in elderly men - Jean Y. Tang1,3, Neeta Parimi2, Angela Wu1,3,
John Boscardin1, Meg Chren1,Steven R.
Cummings1,2, Ervin Epstein3, and Douglas C.
Bauer1,2 - 1 University of California San Francisco, 2 San
Francisco Coordinating Center, California Pacific
Medical Center Research Institute, 3 Childrens
Hospital Oakland Research Institute
40(No Transcript)
41Table 3 Association of increasing serum 25(OH)D
levels with non-Â Â Â Â Â Â Â melanoma skin cancer Â
Adjusted for age (continuous variable), BMI
(continuous variable), season of blood draw, and
clinic site Adjusted for age, BMI, season of
blood draw, clinic site, outdoor walking activity
(continuous variable), and cigarette smoking
(yes/no)
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43Summary of chemopreventive agents against BCCs
In vitro Mice Observational studies Clinical Trials
Celecoxib (oral) ? ? mixed ? in subset
Statin No No No N/A
Vitamin D3 ?? ?? ? Biomarker study
Hh Antagonist (Genentech) ??? ???? none Enrolling RCT
Itraconazole (antifungal) ?? ?? none Biomarker study
44Cyclopamine
Smo
Gli
Williams and Wang , Proceedings of the Natl Acad
Sci 2003
45Placebo cream does not reduce BCC tumors
Day 0
Day 20
Day 35
46Untreated BCC
47Topical Hh Antagonist BCCs decreases BCC tumors
Day 35
Day 20
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49Hh Antagonist cream decreases Gli1 mRNA in BCC
tumors
S
Tu
Re
Re
Re
Tu
Tu
S
S
Tu
S
Tu
S
Tu
Tu
Tu
Hh Antagonist cream
Placebo
Lesson benefits of collaborator
50Lesson Benefits of UCSF Cancer Center core labs
51Topical Cur-414 treated BCC
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53Lessons learned mechanism of disease
- Topical and oral HH antagonists significantly
reduce murine BCCs by decreasing tumor
proliferation and/or inducing follicular
differentiation. - We know how to collect tumors, do these assays,
get to mechanism of disease in future trials
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55Investigator sponsored trial in BCC prevention
- Genentech Hh antagonist GDC 0449 150mg daily
- Phase II, placebo controlled RCT in 41 Basal Cell
Nevus Syndrome subjects - Primary endpoint change in BCCs at 12 mo and 18
mo
56New and relatively safe agents that decrease
Hedgehog signaling
Cyclopamine
Smo
Gli
J Kim and P Beachy, Stanford
57Mechanism of disease
Small molecule library screen for inhibitors of
Hedgehog pathway
Cell based assays
In vitro experiments
Ptch1 /- mice
Animal models
Patients with sporadic BCCs
Human clinical trials
58Day 4 irritation and necrosis, 11 mm
Day 0, BCC A 10mm
Day 11 residual BCC, 3mm
Itraconazole178
59Cyclodextrin5460
Day 0 BCC B (11 mm), BCC D (10 mm), BCC G (9mm)
Day 7 BCC B (11 mm), BCC D (10 mm), BCC G (9mm)
60Lessons learned
- Collaboration with another basic lab
- Post-doc fellows who are experts at specific
assays (5 years) vs training someone new - Focus on getting the first pilot clinical trial
of itraconazole on human BCCs - Measure Gli1mRNA in BCCs
- Measure Ki67
- Paired t-test (at biopsy and at excision)
- New opportunities/markets
61Lessons learned
- Easier to translate FDA approved drug or a drug
manufactured and tested by Pharma - already have
paid the - New agent (vitamin D) investigator pays
- Efficacy
- Stability
- GMP grade for human
- IND
62Challenge Lesson Learned
Celecoxib (oral) Combining mouse and RCT Statistics, finding the experts
Statins Difficulty in combining mouse and epidemiologic results (Kaiser) OK to disagree
Vitamin D3 Difficulty of doing it all yourself lab, mouse, pilot clinical trial 1Mentor and his lab SFCC, EpiBio mentors -Public databases
Hh Antagonist Collaborations with Genentech -Good to have lab skills -RCT design
Itraconazole Collaborations with basic lab FDA approved drug -Nice to collaborate -Time to start the pilot trial
63- Childrens Hospital Oakland
- Ervin Epstein
- Po Lin So
- Tony Zheng Xiao
- Elana Shpall
- Angela Wu
- Kris Chang
- Yefim Khaimsky
- UCSF EpiBiostat
- Charles McCulloch
- Ralph Gonzalez
- Steve Hulley
- Steve Cummings
- Doug Bauer
- Neeta Parimi
- John Boscardin
- Michael Kohn
- Kaiser Division of Research
- Maryam Asgari
- Genentech
- Fred de Sauvage
- Tracy Tang
- Chris Callahan
- UCSF Derm
- Meg Chren
- Dan Bikle
- Loretta Chan
- Funding Sources
- NRCC CTSA KL2
- NIAMS K23
- Prevent Cancer Foundation
- American Skin Association