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Ovarian Cancers:
Evolving Paradigms in Research and Care
Report Release
Wednesday, March 2, 2016
• Congressionally mandated report
• Sponsored by the Centers for
Disease Control and Prevention
• IOM charged with completing the
work
• Multidisciplinary committee
assembled
• Four in-person meetings
Background
Statement of Task
An ad hoc committee under the auspices of the
Institute of Medicine will review the state of the
science in ovarian cancer and formulate
recommendations for action to advance the field.
The committee will:
• Summarize and examine the state of the
science in ovarian cancer research,
• Identify key gaps in the evidence base and the
challenges to addressing those gaps,
continued
Statement of Task (continued)
• Consider opportunities for advancing ovarian
cancer research, and
• Examine avenues for translation and
dissemination of new findings and
communication of new information to patients
and others.
The committee will make recommendations for
public- and private-sector efforts that could
facilitate progress in reducing the incidence of
and morbidity and mortality from ovarian cancer.
Biology
Innovative Research Designs
Supportive Care Research &
Practice
Prevention &
Early
Detection
Diagnosis &
Treatment
Secondary
Prevention &
Monitoring
for
Recurrence Management
of Recurrent
Disease
End-of-Life
Care
Long-Term
Survivorship
Methods to Reduce Practice-
Related Disparities
Intervention Development
Previvorship Survivorship
Conceptual Model
1. Prioritize study of high-grade serous carcinoma
2. More subtype-specific research is needed to
define various subtype characteristics
3. Collaboration is essential
a. Pooling and sharing of data and biospecimens
b. Use of consortia
4. Dissemination and implementation are final steps
for knowledge translation
Overarching Concepts
Ovarian Cancers:
Evolving Paradigms in
Research and Care
#Ovarian Cancers
www.nas.edu/OvarianCancers
High-grade serous
carcinoma
Carcinosarcoma
Endometrioid
carcinoma
70% - 74%
7% - 24%
10% - 26%
2% - 6% 0.6% - 7.1%
3% - 5%
1% - 7%
Ovarian Carcinomas – Not one disease
Ovarian Carcinomas – Origins
The fallopian tube is a likely site of most HGSC and
genetic models are expanding
Recommendation
• Strategies to increase genetic counseling and
testing for all women with ovarian cancer
• Wider offering of cascade testing
• Determine analytic performance and clinical
utility of testing for germline mutations
beyond BRCA1 and BRCA2 and mismatch
repair genes associated with Lynch Syndrome.
Supportive Care Along the
Survivorship Trajectory
• Most research focuses on treatment rather than on
how to improve the management of the acute and
long-term physical and psychosocial effects of
diagnosis and treatment across the trajectory of
survivorship.
• Most research on survivorship aggregates patients
of all cancer types
• Survivorship research on ovarian cancer rarely
distinguishes different subgroups – age, racial and
ethnic groups, stage, histology, etc.
Key Findings in IOM Report
Dissemination &
Implementation of Knowledge
“an active approach of spreading evidence-based
interventions to the target audience via determined
channels using planned strategies”
Biology
Innovative Research Designs
Supportive Care Research
& Practice
Prevention &
Early
Detection
Diagnosis &
Treatment
Secondary
Prevention &
Monitoring
for
Recurrence Management
of Recurrent
Disease
End-of-Life
Care
Long-Term
Survivorship
Intervention Development
Previvorship Survivorship
Prevention
& Early
Detection
Diagnosi
s &
Treatmen
t
Secondary
Prevention
&
Monitoring
for
Recurrence
Previvorshi
p
Survivorship
Managemen
t of
Recurrent
Disease
End-of-Life
Care
Long-Term
Survivorship
Methods to Reduce
Practice-Related
Disparities
Methods to Reduce
Practice-Related
DisparitiesSupportive Care Research
& Practice
Final steps for knowledge translation into practice
for all stakeholders
• Current methods for early detection in the general or
high-risk population do not have substantial impact
on mortality.
• Proven preventive strategies exist.
• All women with invasive ovarian cancer should
receive germline genetic testing.
• Genetic counseling and testing for the first-degree
relatives of women with a hereditary cancer
syndrome or germline mutation.
• Uniform implementation of the standard of care and
the inclusion of supportive care across the
survivorship trajectory.
Some key messages
Survivors’ acceptance of treatment side
effects evolves as goals of care change over
the cancer continuum
Melissa K. Frey
New York University Langone Medical Center
Verbal Disclosure
• Nothing to disclose.
• Ovarian cancer disease course
– Long overall survival
– Multiple treatment regimens
• What are meaningful clinical trial endpoints?
– Overall survival
– Progression-free survival
– Patient reported outcomes
– Health-related quality of life
• FDA workshop on alternative clinical trial endpoints (September 3, 2015)
– Co-sponsored by:
• Society of Gynecologic Oncology (SGO)
• American Society of Clinical Oncology (ASCO)
• American Association for Cancer Research (AACR)
Herzog TJ et al. Gynecol Oncol. 2014.
Background
• Exploring patient preferences
– OCNA Clinical Trial Endpoints: What do our patients consider important (2013)
– NYU/SHARE: A qualitative study of ovarian cancer survivors' perceptions of
endpoints and goals of care (2014)
• Shared decision-making
– Physician awareness of patient goals
– Incorporating goals when selecting treatment
– Maximizing treatment efficacy AND quality of life
Minion LE et al. Gynecol Oncol. 2016.
Frey MK et al. Gynecol Oncol. 2014.
Background
To determine whether survivors’ acceptance of
treatment side effects changes over the disease
continuum.
Objective
• Ovarian Cancer Survivorship Questionnaire
– Developed by Annie Ellis
– Combination of OCNA Clinical Trial Endpoints and NYU/SHARE
– 30 questions, Likert-type scale and multiple choice
• Questionnaire available online (8/1/2015-8/12/2015)
– Survivor networks
– Social media
• Completed online by self-identified ovarian cancer
survivors
• Consent for participation provided electronically
• Exempt status from NYU Langone Medical Center
Institutional Review Board
Annie Ellis
Patient Advocate
Methods
Age (years) (N = 328)
18-35 7 (2%)
36-50 63 (19%)
51-60 142 (43%)
61-70 91 (28%)
>70 25 (8%)
Race / Ethnicity
Non-Hispanic white 303 (92%)
Hispanic 10 (3%)
Non-Hispanic black 5 (2%)
Asian/Pacific Islander 3 (1%)
Other or Unknown 7 (2%)
Disease site
Ovary 267 (81%)
Fallopian tube 21 (6%)
Primary peritoneal 37 (11%)
Unknown 3 (1%)
Disease stage
I 55 (17%)
II 33 (10%)
III 194 (59%)
IV 37 (11%)
Unknown 9 (3%)
Results - Demographics
Time since cancer diagnosis (N = 328)
<12 months 44 (13%)
1-4 years 184 (56%)
5-9 years 59 (18%)
10-14 years 23 (7%)
15-19 years 10 (3%)
> 20 years 7 (2%)
Recurrent disease
Yes 142 (43%)
No 180 (55%)
No answer 6 (2%)
Undergoing treatment at time of questionnaire completion
Yes 119 (36%)
No 205 (63%)
No answer 4 (1%)
Results – Demographics
0
20
40
60
80
100
0 1 2 3 4 > 5
#Participants
# Prior treatment regimens received
Prior treatment regimens
What is your treatment goal?
Overall survival
45%
Progression-free
survival
12%
Quality of life
41%
No answer
2%
What is most meaningful to you?
Overall survival
39%
Minimizing treatment
side effects
11%
Minimizing disease
symptoms
6%
Ability to engage in
daily activities
35%
Attend a life event
0%
Time off treatment
6%
Other
3%
When selecting a treatment, what is your expectation?
Cure
35%
Remission
49%
Stable
disease
16%
All participants
When selecting a treatment, what is your expectation?
P < 0.001
Cure
50%
Remission
45%
Stable
disease
5%
Participants without recurrence
(N = 180)
Cure
16%
Remission
53%
Stable
disease
31%
Participants with at least one
recurrence (N = 142)
Which of these treatment side effects would you tolerate?
Goal of treatment:
Cure
Remission
Stable disease
Cure
Remission
Stable
disease
Bowel obstruction
Shortness of breath
Infection
Mucositis
Ototoxicity
Hand-foot syndrome
Pain
Memory loss
Nausea/vomiting
Headache
Sexual side effects
Flu-like symptoms
Arthralgia
Skin changes
Neuropathy
Constipation
Diarrhea
Fatigue
Alopecia
Treatment side effects (Goal = Cure)
% Participants willing to accept the side effect
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Bowel obstruction
Shortness of breath
Infection
Mucositis
Ototoxicity
Hand-foot syndrome
Pain
Memory loss
Nausea/vomiting
Headache
Sexual side effects
Flu-like symptoms
Arthralgia
Skin changes
Neuropathy
Constipation
Diarrhea
Fatigue
Alopecia
Percentage of survivors who would accept treatment side effects based on the goal
of treatment (Goal = Cure)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Percentage of survivors who would accept treatment side effects based on the goal
of treatment (Cure vs. Remission)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Percentage of survivors who would accept treatment side effects based on the goal
of treatment (Cure vs. Remission vs. Stable disease)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Expectation of cure among survivors with recurrent disease
Cure
16%
Remission
53%
Stable
disease
31%
Participants with recurrent disease
(N=142, 43%)
Expectation of cure among survivors with recurrent disease
Participants with recurrent disease
(N=142, 43%)
Stable
disease
Cure
(22 participants)
Remission
0% 20% 40% 60% 80% 100%
Bowel obstruction
Shortness of breath
Infection
Mucositis
Ototoxicity
Hand-foot syndrome
Pain
Memory loss
Nausea/vomiting
Headache
Sexual side effects
Flu-like symptoms
Arthralgia
Skin changes
Neuropathy
Constipation
Diarrhea
Alopecia
Fatigue
Cure Remission Stable disease
I would accept any side effects for
a CURE!!
I’d take anything that has less than
20% chance
of killing me immediately.
I would tolerate these side
effects if they were temporary.
I'd rather not tolerate any side
effects.
None!
Depends on severity and quality of
life tradeoffs.
This is a much bigger issue if
‘stable disease’is the best you can
get.
Facing this now, I have learned that
my tolerance for
side effects is pretty low under
these conditions.
Survivor comments by goal of treatment
• Acceptance of treatment side effects declines with changing goals
– Cure  remission  stable disease
• Goal of cure drives willing acceptance of treatment toxicity
• When selecting treatment balance treatment toxicities and quality
of life measures
• Survivors’ decision tool for selecting treatment therapies for
recurrent disease in development
Conclusions
Co-authors
• Annie E. Ellis, Patient Advocate
• Laura Koontz, PhD
• Savannah Shyne, MPH
• Jing-Yi Chern, MD
• Jessica Lee, MD
• Stephanie V. Blank, MD
Acknowledgements
Higher rates of clinically actionable multigene
panel results in Ashkenazi Jewish patients
Melissa Frey
New York University Langone Medical Center
Verbal disclosure
• Nothing to disclose.
• Next-generation sequencing
– Rapid
– Cost-effective
– Virtually unlimited number of genes
– Ovarian cancer genes – BRCA1, BRCA2, BARD1, BRIP1, MLH1, MSH2, MSH6, PALB2,
PMS2, RAD51C, RAD51D
• Clinical actionability
– Actionable mutations
• Mutations with known clinical manifestations and well-outlined cancer screening guidelines
– Non-actionable mutations
• Mutations in low- to moderate-risk genes for which consensus management guidelines have
not been established
Norquist BM et al. JAMA Oncol. 2015
Multigene panel testing for cancer syndromes
To determine if there are specific patient
populations in which multigene panels would
be more likely to affect clinical management.
Objective
• Review of multigene panel testing results at a single institution
• Study period: June 2013 - January 2015
• All genetic testing performed after consultation by a certified genetic
counselor
• Mutations were characterized as actionable or non-actionable
– National Comprehensive Cancer Network (NCCN) guidelines
– Genes not addressed by NCCN guidelines
– Consensus statements
– Expert opinion
• Statistical methods: T-test, Chi-square, Fisher’s exact test
Methods
Results - Patient Demographics
Gender (N = 454)
Female 435 (96%)
Male 19 (4%)
Race/ethnicity
Non-Hispanic white 362 (80%)
Non-Hispanic black 31 (7%)
Hispanic 29 (6%)
Asian/Pacific
Islander
32 (7%)
Ashkenazi Jewish ancestry
Ashkenazi Jewish 138 (30%)
Non-Ashkenazi Jewish 316 (70%)
Personal history of cancer 354 (78%)
Breast 251 (55%)
Ovarian 49 (11%)
Uterine 26 (6%)
Colorectal 20 (4%)
Family history of cancer 417 (92%)
Results - Multigene panels
454 patients
Pathogenic mutations
62 mutations identified
56 patients (12%)
19 genes
VUS
291 VUS identified
196 patients (43%)
38 genes
Actionable mutations
APC, ATM, BARD1, BRCA1, BRCA2,
BRIP1, CHEK2, MEN1, MLH1, MSH6,
PALB2, PMS2, PTEN, RAD51D
Non-actionable mutations
CDKN2A, FAM175A, FANCC,
FLCN, MUTYH
Actionable
79%
Non-
actionable
21%
• Actionable mutations
– 10% of all patients (47/454)
– 79% of all mutations (49/62)
• Non-actionable mutations
– 2% of all patients (9/454)
– 21% of all mutations (13/62)
• Age, gender, race, ethnicity, personal history of cancer and
family history of cancer were NOT associated with finding an
actionable mutation
Results – Clinical Actionability
Mutations (N = 62)
• No differences when comparing Ashkenazi to non-Ashkenazi
patients:
– Gender, personal history of cancer, family history of cancer, # mutations, #
VUS
• Mutations in Ashkenazi patients were significantly more
likely to be clinically actionable
Results - Ashkenazi Jewish ancestry
Ashkenazi
Jewish
(N=20)
Non-Ashkenazi
Jewish
(N=42)
P
value
Actionable
mutations
(N = 49)
19 (95%) 30 (71%)
Non-actionable
mutations
(N = 13)
1 (5%) 12 (29%) 0.04
Ashkenazi Jewish (N=138)
Actionable mutation
Non-actionable mutation
Pathogenic mutations in Ashkenazi and non-Ashkenazi Patients
Non-Ashkenazi Jewish (N=316)
FANCC, 1
APC, 6
BARD1, 1
BRCA2, 1
BRCA1, 1
BRIP1, 1
CHEK2, 7
MLH1, 1
MSH6, 1
CDKN2A, 1 FAM175A, 1
FANCC, 2
FLCN, 1
MUTYH, 7
ATM, 3
BRCA2, 4
BRCA1, 2
BRIP1, 5
CHEK2, 6
MEN1, 1
MLH1, 2
PALB2, 2
PMS2, 1
PTEN,
3
RAD51D, 1
Ashkenazi Jewish (N=138)
Actionable mutation
Non-actionable mutation
Pathogenic mutations in Ashkenazi and non-Ashkenazi Patients
Non-Ashkenazi Jewish (N=316)
FANCC, 1
APC, 6
BARD1, 1
BRCA2, 1
BRCA1, 1
BRIP1, 1
CHEK2, 7
MLH1, 1
MSH6, 1
CDKN2A, 1 FAM175A, 1
FANCC, 2
FLCN, 1
MUTYH, 7
ATM, 3
BRCA2, 4
BRCA1, 2
BRIP1, 5
CHEK2, 6
MEN1, 1
MLH1, 2
PALB2, 2
PMS2, 1
PTEN,
3
RAD51D, 1
2 BRCA1/2 mutations
BRCA1 (1)
BRCA2 (1)
6 BRCA1/2 mutations
BRCA1 (2)
BRCA2 (4)
FANCC, 1
APC, 6
BARD1, 1
BRCA2, 4
BRCA1, 4BRIP1, 1
CHEK2, 7
MLH1, 1
MSH6, 1
Ashkenazi Jewish (N=183)
Actionable mutation
Non-actionable mutation
Non-Ashkenazi Jewish (N=374)
CDKN2A, 1 FAM175A, 1
FANCC, 2
FLCN, 1
MUTYH, 7
ATM, 3
BRCA2, 4
BRCA1, 2BRIP1, 5
CHEK2, 6
MEN1, 1
MLH1, 2
PALB2, 2
PMS2, 1
PTEN,
3
RAD51D, 1
8 BRCA1/2 mutations
BRCA1 (4)
BRCA2 (4)
6 BRCA1/2 mutations
BRCA1 (2)
BRCA2 (4)
BRCA1/2 mutations from multigene panels and targeted single gene
BRCA1/2 screening (N=557)
Ashkenazi Jewish (N=138)
Actionable mutation
Non-actionable mutation
Pathogenic mutations in Ashkenazi and non-Ashkenazi Patients
Non-Ashkenazi Jewish (N=316)
FANCC, 1
APC, 6
BARD1, 1
BRCA2, 1
BRCA1, 1
BRIP1, 1
CHEK2, 7
MLH1, 1
MSH6, 1
CDKN2A, 1 FAM175A, 1
FANCC, 2
FLCN, 1
MUTYH, 7
ATM, 3
BRCA2, 4
BRCA1, 2
BRIP1, 5
CHEK2, 6
MEN1, 1
MLH1, 2
PALB2, 2
PMS2, 1
PTEN,
3
RAD51D, 1
Evolving understanding of
actionable vs. non-actionable
• Multigene panel testing discovered:
• Mutations in 56 patients (12%)
• VUS in 196 patients (43%)
• Multigene panel testing should be considered in
Ashkenazi Jewish patients
• Majority of mutations are actionable (95%)
• Mutations occur in multiple genes and are not limited to
BRCA1/2
Conclusions
Co-authors
• Gabriella Sandler, BS
• Rachel Sobolev, BS
• Sarah Kim, MD
• Rachelle Chambers, MS, CGC
• Jessica Martineau, MS, CGC
• Rebecca Y. Bassett, MS, CGC
• Stephanie V. Blank, MD
Acknowledgments
Gene Recommendations Source
APC Actionable Colorectal cancer - Colonoscopy every 5 years starting at age 40 Expert opinion
ATM Actionable Breast cancer - Recommend breast MRI NCCN Guidelines
BARD1
Emerging evidence
suggesting actionability
Ovarian cancer - Consider risk-reducing salpingo-oophorectomy
Norquist et al. JAMA
Oncol . 2015.
Ovarian cancer - Recommend/consider risk-reducing salpingo-oophorectomy
Breast cancer - Recommend breast MRI, discuss option of risk-reducing mastectomy
Ovarian cancer - Recommend/consider risk-reducing salpingo-oophorectomy
Breast cancer - Recommend breast MRI, discuss option of risk-reducing mastectomy
BRIP1 Actionable Ovarian cancer - Risk-reducing salpingo-oophorectomy NCCN Guidelines
CHEK2 Actionable Breast cancer - Recommend breast MRI NCCN Guidelines
Parathyroid glands, anterior pituitary, enteropancreatic endocrine cell tumors
Biochemical tests – calcium, PTH, gastrin, gastric acid output, secretin-stimulated
gastrin, fasting glucose, insulin, PRL, IGF-1
Imaging tests – MRI/CT scan
Colorectal cancer - Colonoscopy
Endometrial and ovarian cancer - Consider option of risk-reducing hysterectomy and
bilateral salpingo-oophorectomy, annual office endometrial sampling is an option
Gastric and small bowel cancer - Selected individuals or families or those of Asian
descent may consider EGD with extended duodenoscopy
Urothelial cancer - Consider annual urinalysis
Colorectal cancer - Colonoscopy
Endometrial and ovarian cancer - Consider option of risk-reducing hysterectomy and
bilateral salpingo-oophorectomy, annual office endometrial sampling is an option
PALB2 Actionable Breast cancer - Recommend breast MRI, discuss option of risk-reducing mastectomy NCCN Guidelines
Colorectal cancer - Colonoscopy
Endometrial and ovarian cancer - Consider option of risk-reducing hysterectomy and
bilateral salpingo-oophorectomy, annual office endometrial sampling is an option
Endometrial cancer - Discuss option of risk-reducing hysterectomy, consider annual
random endometrial biopsies and/or ultrasound
Breast cancer - Recommend breast MRI, discuss option of risk-reducing mastectomy
Thyroid cancer - Annual thyroid ultrasound
Colorectal cancer - Colonoscopy
Renal cancer - Consider renal ultrasound
RAD51D Actionable Ovarian cancer - Recommend/consider risk-reducing salpingo-oophorectomy NCCN Guidelines
Actionable Mutations
PMS2 Actionable NCCN Guidelines
PTEN Actionable NCCN Guidelines
MSH6 Actionable NCCN Guidelines
MLH1 Actionable NCCN Guidelines
MEN1 Actionable
Expert opinion /
consensus statements
BRCA1 Actionable NCCN Guidelines
BRCA2 Actionable NCCN Guidelines
CDKN2A Non-actionable
FAM175A Non-actionable
FANCC Non-actionable
FLCN Non-actionable
MUTYH Non-actionable
Non-Actionable Mutations
A PHASE III CLINICAL TRIAL OF BEVACIZUMAB WITH IV VERSUS IP
CHEMOTHERAPY IN OVARIAN, FALLOPIAN TUBEAND PRIMARY PERITONEAL
CARCINOMA NCI-SUPPLIED AGENT(S): BEVACIZUMAB (NSC #704865, IND #7921)
NCT01167712 a GOG/NRG Trial (GOG 252)
Joan L. Walker; Mark F Brady; Paul A DiSilvestro; Keiichi Fujiwara; David Alberts; Wenxin Zheng; Krishnansu
Tewari; David E Cohn; Matthew Powell; Linda van Le; Stephen Rubin; Susan A Davidson; Heidi J Gray;
Steven Waggoner; Tashanna Myers; Carol Aghajanian; Angeles Alvarez Secord; Robert S Mannel
GOG 252: IP chemo and dose dense Paclitaxel showed
improved OS, both have toxicities; which is best?
Should we use dose
dense Paclitaxel?
Should we use IP
chemotherapy?
Should we use
Bevacizumab?
• JGOG 3016 showed improved OS, but not
replicated in the US
• GOG 172 showed survival advantage, but was
toxic, with only 42% receiving 6 cycles;
additional studies were done to address the
toxicity:
-GOG9916/17 Substituted IP carbo for cisplatin
-GOG9921 Reduced IP cisplatin dose
• GOG 218 showed improved PFS with Bev, and
feasibly safe with IP Chemo
Arm 1: Dose dense Paclitaxel
Arm 2: IP Chemo substitute
Arm 3:
Include Bevacizumab
Key questions
for GOG 252 Indications and contemporary results
Implications for
GOG 252 schema
All:
IP chemo, reduced
cisplatin dose
Arm 1
Arm 2
Arm 3
GOG 252: Schema
• Stage II-III Epithelial
Carcinoma: Ovary,
Fallopian Tube,
Peritoneal
• Resected to optimal:
less than or equal to
1 cm visible tumor
by surgeon report
• Exploratory:
suboptimal (7%)
and Stage IV (5%)
Eligibility
Differences in Dosing in GOG 252 Arm 3 IP
Cisplatin compared to GOG 172
• Dose reduction cisplatin(100 down to 75 mg/m2)
• Infusion time reduction 135 mg/m2 paclitaxel(3 hr instead of 24h)
• All outpatient therapy
• Bevacizumab 15 mg/m2 for all arms on cycles 2-22
• Comparison arm dose dense paclitaxel with carbo IV AUC 6- GOG
262 (JGOG)
• Second experimentalArm IP carbo and dose dense paclitaxel
Progression Free Survival Optimal Stage II-III
(10% stage II)
• Estimated hazard ratios, and logrank tests are adjusted for stage of disease and size of
residual disease micro vs < 1cm
• CT required every 6 months for surveillance (not required in GOG 114/172)
Arm N Events Median PFS HR [95% CI] Logrank Logrank
IV Carbo 461 303 26.8 months Reference arm P-value Chi square
IP Carbo 464 300 28.7 months 0.947 [0.808-
1.11]
0.416 0.661
IP Cisp 456 307 27.8 months 1.01 [0.858-1.18] 0.727 0.122
P r o g r e s s i o n - F r e e S u r v iv a l b y T r e a t m e n t G r o u p
S ta g e II o r III O p ti m a l l y D e b u l k e d
T r e a tm e n t G r o u p E ve n ts T o ta l M e d i a n ( m o s )
1 : C r b ( IV ) + T + B e v 3 0 3 4 6 1 2 6 .8
2 : C r b ( IP ) + T + B e v 3 0 0 4 6 4 2 8 .7
3 : C i s ( IP ) + T + B e v 3 0 7 4 5 6 2 7 .8
0 .2
0 .4
0 .6
0 .8
1 .0
ProportionSurviving
Progression-Free
3 : C i s ( IP ) + T + B e v
2 : C r b ( IP ) + T + B e v
1 : C r b ( IV ) + T + B e v
T r e a tm e n t G r o u p
2 6 .8
2 8 .7
2 7 .8
E ve n ts T o ta l M e d i a n ( m o s )
3 0 3 4 6 1
3 0 0 4 6 4
3 0 7 4 5 6
Progression Free Survival Optimal Stage II-III
0.0 0 12 24 36 48 60 72
Months on Study
1 461 387 244 169 111 37 0
2 464 391 262 177 125 39 0
3 456 372 255 168 120 34 0
P r o g r e s s i o n -F r e e S u r v iv a l b y T r e a tm e n t G r o u p
S ta g e III w i th N o G ro s s R e s i d u a l D i s e a s e
• T re a tm e n t G ro u p E ve n ts To ta l M e d i a n ( m o s ) 1 : C rb (IV )+ T + B e v
1 4 4 2 3 9 3 1 .3
• 2 : C rb (IP )+ T + B e v 1 4 5 2 3 8 3 1 .8
• 3 : C i s (IP )+ T + B e v 1 3 8 2 3 9 3 3 .8
0 .2
0 .4
0 .6
0 .8
1 .0
ProportionSurviving
Progression-Free
3 : C i s (IP )+ T + B e v
2 : C rb (IP )+ T + B e v
1 : C rb (IV )+ T + B e v
T re a tm e n t G ro u p
3 1 .3
3 1 .8
3 3 .8
1 4 4 2 3 9
1 4 5 2 3 8
1 3 8 2 3 9
E ve n ts T o ta l M e d i a n ( m o s )
Progression Free Survival Optimal Stage III NGR
0.0 0 12 24 36 48 60 72
Months on Study
1 239 203 141 97 66 21 0
2 238 209 152 103 72 21 0
3 239 204 150 104 76 24 0
Across Study Comparisons for PFS
Arm Study PFS Median in mos
No visible dx Stage 3
PFS median mos
1 cm or less visible dx
GOG 114 & 172 IV cisplatin 33.4
GOG 172 IV cisplatin 43.2 18.3
GOG 252 IV carbo 31.3 26.8 (10% stage II)
GOG 114 & 172 IP cisplatin 43.2
GOG 172 IP cisplatin 60.4 23.8
GOG 252 IP carboplatin 31.8 28.7 (10% Stage II)
GOG 252 IP cisplatin 33.8 27.8 (10% Stage II)
Discussion
• Survival for optimal and no residual disease participants will not be
available for a few years.
• Dose reductions of paclitaxel and cisplatin as well as cross- over may
have compromised efficacy.
• Dose dense paclitaxel may have improved efficacy to allow us to
abandon IP chemo- must we wait- combine both?
• Bevacizumab interactions could have clouded analysis
Conclusions
• All arms have excessive toxicity
• Neurotoxicity is similarly high in all arms
• Reserve changes in treatment recommendations until survival data
available for no residual disease high grade serous Stage III
participants.
• IP Cisplatin increases bevacizumab associated HTN

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Ovarian Cancer: What's New?

  • 1. Ovarian Cancers: Evolving Paradigms in Research and Care Report Release Wednesday, March 2, 2016
  • 2. • Congressionally mandated report • Sponsored by the Centers for Disease Control and Prevention • IOM charged with completing the work • Multidisciplinary committee assembled • Four in-person meetings Background
  • 3. Statement of Task An ad hoc committee under the auspices of the Institute of Medicine will review the state of the science in ovarian cancer and formulate recommendations for action to advance the field. The committee will: • Summarize and examine the state of the science in ovarian cancer research, • Identify key gaps in the evidence base and the challenges to addressing those gaps, continued
  • 4. Statement of Task (continued) • Consider opportunities for advancing ovarian cancer research, and • Examine avenues for translation and dissemination of new findings and communication of new information to patients and others. The committee will make recommendations for public- and private-sector efforts that could facilitate progress in reducing the incidence of and morbidity and mortality from ovarian cancer.
  • 5. Biology Innovative Research Designs Supportive Care Research & Practice Prevention & Early Detection Diagnosis & Treatment Secondary Prevention & Monitoring for Recurrence Management of Recurrent Disease End-of-Life Care Long-Term Survivorship Methods to Reduce Practice- Related Disparities Intervention Development Previvorship Survivorship Conceptual Model
  • 6. 1. Prioritize study of high-grade serous carcinoma 2. More subtype-specific research is needed to define various subtype characteristics 3. Collaboration is essential a. Pooling and sharing of data and biospecimens b. Use of consortia 4. Dissemination and implementation are final steps for knowledge translation Overarching Concepts
  • 7. Ovarian Cancers: Evolving Paradigms in Research and Care #Ovarian Cancers www.nas.edu/OvarianCancers
  • 8. High-grade serous carcinoma Carcinosarcoma Endometrioid carcinoma 70% - 74% 7% - 24% 10% - 26% 2% - 6% 0.6% - 7.1% 3% - 5% 1% - 7% Ovarian Carcinomas – Not one disease
  • 10. The fallopian tube is a likely site of most HGSC and genetic models are expanding
  • 11. Recommendation • Strategies to increase genetic counseling and testing for all women with ovarian cancer • Wider offering of cascade testing • Determine analytic performance and clinical utility of testing for germline mutations beyond BRCA1 and BRCA2 and mismatch repair genes associated with Lynch Syndrome.
  • 12. Supportive Care Along the Survivorship Trajectory
  • 13. • Most research focuses on treatment rather than on how to improve the management of the acute and long-term physical and psychosocial effects of diagnosis and treatment across the trajectory of survivorship. • Most research on survivorship aggregates patients of all cancer types • Survivorship research on ovarian cancer rarely distinguishes different subgroups – age, racial and ethnic groups, stage, histology, etc. Key Findings in IOM Report
  • 14.
  • 15. Dissemination & Implementation of Knowledge “an active approach of spreading evidence-based interventions to the target audience via determined channels using planned strategies”
  • 16. Biology Innovative Research Designs Supportive Care Research & Practice Prevention & Early Detection Diagnosis & Treatment Secondary Prevention & Monitoring for Recurrence Management of Recurrent Disease End-of-Life Care Long-Term Survivorship Intervention Development Previvorship Survivorship Prevention & Early Detection Diagnosi s & Treatmen t Secondary Prevention & Monitoring for Recurrence Previvorshi p Survivorship Managemen t of Recurrent Disease End-of-Life Care Long-Term Survivorship Methods to Reduce Practice-Related Disparities Methods to Reduce Practice-Related DisparitiesSupportive Care Research & Practice Final steps for knowledge translation into practice for all stakeholders
  • 17. • Current methods for early detection in the general or high-risk population do not have substantial impact on mortality. • Proven preventive strategies exist. • All women with invasive ovarian cancer should receive germline genetic testing. • Genetic counseling and testing for the first-degree relatives of women with a hereditary cancer syndrome or germline mutation. • Uniform implementation of the standard of care and the inclusion of supportive care across the survivorship trajectory. Some key messages
  • 18.
  • 19. Survivors’ acceptance of treatment side effects evolves as goals of care change over the cancer continuum Melissa K. Frey New York University Langone Medical Center
  • 21. • Ovarian cancer disease course – Long overall survival – Multiple treatment regimens • What are meaningful clinical trial endpoints? – Overall survival – Progression-free survival – Patient reported outcomes – Health-related quality of life • FDA workshop on alternative clinical trial endpoints (September 3, 2015) – Co-sponsored by: • Society of Gynecologic Oncology (SGO) • American Society of Clinical Oncology (ASCO) • American Association for Cancer Research (AACR) Herzog TJ et al. Gynecol Oncol. 2014. Background
  • 22. • Exploring patient preferences – OCNA Clinical Trial Endpoints: What do our patients consider important (2013) – NYU/SHARE: A qualitative study of ovarian cancer survivors' perceptions of endpoints and goals of care (2014) • Shared decision-making – Physician awareness of patient goals – Incorporating goals when selecting treatment – Maximizing treatment efficacy AND quality of life Minion LE et al. Gynecol Oncol. 2016. Frey MK et al. Gynecol Oncol. 2014. Background
  • 23. To determine whether survivors’ acceptance of treatment side effects changes over the disease continuum. Objective
  • 24. • Ovarian Cancer Survivorship Questionnaire – Developed by Annie Ellis – Combination of OCNA Clinical Trial Endpoints and NYU/SHARE – 30 questions, Likert-type scale and multiple choice • Questionnaire available online (8/1/2015-8/12/2015) – Survivor networks – Social media • Completed online by self-identified ovarian cancer survivors • Consent for participation provided electronically • Exempt status from NYU Langone Medical Center Institutional Review Board Annie Ellis Patient Advocate Methods
  • 25. Age (years) (N = 328) 18-35 7 (2%) 36-50 63 (19%) 51-60 142 (43%) 61-70 91 (28%) >70 25 (8%) Race / Ethnicity Non-Hispanic white 303 (92%) Hispanic 10 (3%) Non-Hispanic black 5 (2%) Asian/Pacific Islander 3 (1%) Other or Unknown 7 (2%) Disease site Ovary 267 (81%) Fallopian tube 21 (6%) Primary peritoneal 37 (11%) Unknown 3 (1%) Disease stage I 55 (17%) II 33 (10%) III 194 (59%) IV 37 (11%) Unknown 9 (3%) Results - Demographics
  • 26. Time since cancer diagnosis (N = 328) <12 months 44 (13%) 1-4 years 184 (56%) 5-9 years 59 (18%) 10-14 years 23 (7%) 15-19 years 10 (3%) > 20 years 7 (2%) Recurrent disease Yes 142 (43%) No 180 (55%) No answer 6 (2%) Undergoing treatment at time of questionnaire completion Yes 119 (36%) No 205 (63%) No answer 4 (1%) Results – Demographics 0 20 40 60 80 100 0 1 2 3 4 > 5 #Participants # Prior treatment regimens received Prior treatment regimens
  • 27. What is your treatment goal? Overall survival 45% Progression-free survival 12% Quality of life 41% No answer 2%
  • 28. What is most meaningful to you? Overall survival 39% Minimizing treatment side effects 11% Minimizing disease symptoms 6% Ability to engage in daily activities 35% Attend a life event 0% Time off treatment 6% Other 3%
  • 29. When selecting a treatment, what is your expectation? Cure 35% Remission 49% Stable disease 16% All participants
  • 30. When selecting a treatment, what is your expectation? P < 0.001 Cure 50% Remission 45% Stable disease 5% Participants without recurrence (N = 180) Cure 16% Remission 53% Stable disease 31% Participants with at least one recurrence (N = 142)
  • 31. Which of these treatment side effects would you tolerate? Goal of treatment: Cure Remission Stable disease Cure Remission Stable disease Bowel obstruction Shortness of breath Infection Mucositis Ototoxicity Hand-foot syndrome Pain Memory loss Nausea/vomiting Headache Sexual side effects Flu-like symptoms Arthralgia Skin changes Neuropathy Constipation Diarrhea Fatigue Alopecia
  • 32. Treatment side effects (Goal = Cure) % Participants willing to accept the side effect 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Bowel obstruction Shortness of breath Infection Mucositis Ototoxicity Hand-foot syndrome Pain Memory loss Nausea/vomiting Headache Sexual side effects Flu-like symptoms Arthralgia Skin changes Neuropathy Constipation Diarrhea Fatigue Alopecia
  • 33. Percentage of survivors who would accept treatment side effects based on the goal of treatment (Goal = Cure) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  • 34. Percentage of survivors who would accept treatment side effects based on the goal of treatment (Cure vs. Remission) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  • 35. Percentage of survivors who would accept treatment side effects based on the goal of treatment (Cure vs. Remission vs. Stable disease) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  • 36. Expectation of cure among survivors with recurrent disease Cure 16% Remission 53% Stable disease 31% Participants with recurrent disease (N=142, 43%)
  • 37. Expectation of cure among survivors with recurrent disease Participants with recurrent disease (N=142, 43%) Stable disease Cure (22 participants) Remission 0% 20% 40% 60% 80% 100% Bowel obstruction Shortness of breath Infection Mucositis Ototoxicity Hand-foot syndrome Pain Memory loss Nausea/vomiting Headache Sexual side effects Flu-like symptoms Arthralgia Skin changes Neuropathy Constipation Diarrhea Alopecia Fatigue
  • 38. Cure Remission Stable disease I would accept any side effects for a CURE!! I’d take anything that has less than 20% chance of killing me immediately. I would tolerate these side effects if they were temporary. I'd rather not tolerate any side effects. None! Depends on severity and quality of life tradeoffs. This is a much bigger issue if ‘stable disease’is the best you can get. Facing this now, I have learned that my tolerance for side effects is pretty low under these conditions. Survivor comments by goal of treatment
  • 39. • Acceptance of treatment side effects declines with changing goals – Cure  remission  stable disease • Goal of cure drives willing acceptance of treatment toxicity • When selecting treatment balance treatment toxicities and quality of life measures • Survivors’ decision tool for selecting treatment therapies for recurrent disease in development Conclusions
  • 40. Co-authors • Annie E. Ellis, Patient Advocate • Laura Koontz, PhD • Savannah Shyne, MPH • Jing-Yi Chern, MD • Jessica Lee, MD • Stephanie V. Blank, MD Acknowledgements
  • 41.
  • 42. Higher rates of clinically actionable multigene panel results in Ashkenazi Jewish patients Melissa Frey New York University Langone Medical Center
  • 44. • Next-generation sequencing – Rapid – Cost-effective – Virtually unlimited number of genes – Ovarian cancer genes – BRCA1, BRCA2, BARD1, BRIP1, MLH1, MSH2, MSH6, PALB2, PMS2, RAD51C, RAD51D • Clinical actionability – Actionable mutations • Mutations with known clinical manifestations and well-outlined cancer screening guidelines – Non-actionable mutations • Mutations in low- to moderate-risk genes for which consensus management guidelines have not been established Norquist BM et al. JAMA Oncol. 2015 Multigene panel testing for cancer syndromes
  • 45. To determine if there are specific patient populations in which multigene panels would be more likely to affect clinical management. Objective
  • 46. • Review of multigene panel testing results at a single institution • Study period: June 2013 - January 2015 • All genetic testing performed after consultation by a certified genetic counselor • Mutations were characterized as actionable or non-actionable – National Comprehensive Cancer Network (NCCN) guidelines – Genes not addressed by NCCN guidelines – Consensus statements – Expert opinion • Statistical methods: T-test, Chi-square, Fisher’s exact test Methods
  • 47. Results - Patient Demographics Gender (N = 454) Female 435 (96%) Male 19 (4%) Race/ethnicity Non-Hispanic white 362 (80%) Non-Hispanic black 31 (7%) Hispanic 29 (6%) Asian/Pacific Islander 32 (7%) Ashkenazi Jewish ancestry Ashkenazi Jewish 138 (30%) Non-Ashkenazi Jewish 316 (70%) Personal history of cancer 354 (78%) Breast 251 (55%) Ovarian 49 (11%) Uterine 26 (6%) Colorectal 20 (4%) Family history of cancer 417 (92%)
  • 48. Results - Multigene panels 454 patients Pathogenic mutations 62 mutations identified 56 patients (12%) 19 genes VUS 291 VUS identified 196 patients (43%) 38 genes Actionable mutations APC, ATM, BARD1, BRCA1, BRCA2, BRIP1, CHEK2, MEN1, MLH1, MSH6, PALB2, PMS2, PTEN, RAD51D Non-actionable mutations CDKN2A, FAM175A, FANCC, FLCN, MUTYH
  • 49. Actionable 79% Non- actionable 21% • Actionable mutations – 10% of all patients (47/454) – 79% of all mutations (49/62) • Non-actionable mutations – 2% of all patients (9/454) – 21% of all mutations (13/62) • Age, gender, race, ethnicity, personal history of cancer and family history of cancer were NOT associated with finding an actionable mutation Results – Clinical Actionability Mutations (N = 62)
  • 50. • No differences when comparing Ashkenazi to non-Ashkenazi patients: – Gender, personal history of cancer, family history of cancer, # mutations, # VUS • Mutations in Ashkenazi patients were significantly more likely to be clinically actionable Results - Ashkenazi Jewish ancestry Ashkenazi Jewish (N=20) Non-Ashkenazi Jewish (N=42) P value Actionable mutations (N = 49) 19 (95%) 30 (71%) Non-actionable mutations (N = 13) 1 (5%) 12 (29%) 0.04
  • 51. Ashkenazi Jewish (N=138) Actionable mutation Non-actionable mutation Pathogenic mutations in Ashkenazi and non-Ashkenazi Patients Non-Ashkenazi Jewish (N=316) FANCC, 1 APC, 6 BARD1, 1 BRCA2, 1 BRCA1, 1 BRIP1, 1 CHEK2, 7 MLH1, 1 MSH6, 1 CDKN2A, 1 FAM175A, 1 FANCC, 2 FLCN, 1 MUTYH, 7 ATM, 3 BRCA2, 4 BRCA1, 2 BRIP1, 5 CHEK2, 6 MEN1, 1 MLH1, 2 PALB2, 2 PMS2, 1 PTEN, 3 RAD51D, 1
  • 52. Ashkenazi Jewish (N=138) Actionable mutation Non-actionable mutation Pathogenic mutations in Ashkenazi and non-Ashkenazi Patients Non-Ashkenazi Jewish (N=316) FANCC, 1 APC, 6 BARD1, 1 BRCA2, 1 BRCA1, 1 BRIP1, 1 CHEK2, 7 MLH1, 1 MSH6, 1 CDKN2A, 1 FAM175A, 1 FANCC, 2 FLCN, 1 MUTYH, 7 ATM, 3 BRCA2, 4 BRCA1, 2 BRIP1, 5 CHEK2, 6 MEN1, 1 MLH1, 2 PALB2, 2 PMS2, 1 PTEN, 3 RAD51D, 1 2 BRCA1/2 mutations BRCA1 (1) BRCA2 (1) 6 BRCA1/2 mutations BRCA1 (2) BRCA2 (4)
  • 53. FANCC, 1 APC, 6 BARD1, 1 BRCA2, 4 BRCA1, 4BRIP1, 1 CHEK2, 7 MLH1, 1 MSH6, 1 Ashkenazi Jewish (N=183) Actionable mutation Non-actionable mutation Non-Ashkenazi Jewish (N=374) CDKN2A, 1 FAM175A, 1 FANCC, 2 FLCN, 1 MUTYH, 7 ATM, 3 BRCA2, 4 BRCA1, 2BRIP1, 5 CHEK2, 6 MEN1, 1 MLH1, 2 PALB2, 2 PMS2, 1 PTEN, 3 RAD51D, 1 8 BRCA1/2 mutations BRCA1 (4) BRCA2 (4) 6 BRCA1/2 mutations BRCA1 (2) BRCA2 (4) BRCA1/2 mutations from multigene panels and targeted single gene BRCA1/2 screening (N=557)
  • 54. Ashkenazi Jewish (N=138) Actionable mutation Non-actionable mutation Pathogenic mutations in Ashkenazi and non-Ashkenazi Patients Non-Ashkenazi Jewish (N=316) FANCC, 1 APC, 6 BARD1, 1 BRCA2, 1 BRCA1, 1 BRIP1, 1 CHEK2, 7 MLH1, 1 MSH6, 1 CDKN2A, 1 FAM175A, 1 FANCC, 2 FLCN, 1 MUTYH, 7 ATM, 3 BRCA2, 4 BRCA1, 2 BRIP1, 5 CHEK2, 6 MEN1, 1 MLH1, 2 PALB2, 2 PMS2, 1 PTEN, 3 RAD51D, 1 Evolving understanding of actionable vs. non-actionable
  • 55. • Multigene panel testing discovered: • Mutations in 56 patients (12%) • VUS in 196 patients (43%) • Multigene panel testing should be considered in Ashkenazi Jewish patients • Majority of mutations are actionable (95%) • Mutations occur in multiple genes and are not limited to BRCA1/2 Conclusions
  • 56. Co-authors • Gabriella Sandler, BS • Rachel Sobolev, BS • Sarah Kim, MD • Rachelle Chambers, MS, CGC • Jessica Martineau, MS, CGC • Rebecca Y. Bassett, MS, CGC • Stephanie V. Blank, MD Acknowledgments
  • 57. Gene Recommendations Source APC Actionable Colorectal cancer - Colonoscopy every 5 years starting at age 40 Expert opinion ATM Actionable Breast cancer - Recommend breast MRI NCCN Guidelines BARD1 Emerging evidence suggesting actionability Ovarian cancer - Consider risk-reducing salpingo-oophorectomy Norquist et al. JAMA Oncol . 2015. Ovarian cancer - Recommend/consider risk-reducing salpingo-oophorectomy Breast cancer - Recommend breast MRI, discuss option of risk-reducing mastectomy Ovarian cancer - Recommend/consider risk-reducing salpingo-oophorectomy Breast cancer - Recommend breast MRI, discuss option of risk-reducing mastectomy BRIP1 Actionable Ovarian cancer - Risk-reducing salpingo-oophorectomy NCCN Guidelines CHEK2 Actionable Breast cancer - Recommend breast MRI NCCN Guidelines Parathyroid glands, anterior pituitary, enteropancreatic endocrine cell tumors Biochemical tests – calcium, PTH, gastrin, gastric acid output, secretin-stimulated gastrin, fasting glucose, insulin, PRL, IGF-1 Imaging tests – MRI/CT scan Colorectal cancer - Colonoscopy Endometrial and ovarian cancer - Consider option of risk-reducing hysterectomy and bilateral salpingo-oophorectomy, annual office endometrial sampling is an option Gastric and small bowel cancer - Selected individuals or families or those of Asian descent may consider EGD with extended duodenoscopy Urothelial cancer - Consider annual urinalysis Colorectal cancer - Colonoscopy Endometrial and ovarian cancer - Consider option of risk-reducing hysterectomy and bilateral salpingo-oophorectomy, annual office endometrial sampling is an option PALB2 Actionable Breast cancer - Recommend breast MRI, discuss option of risk-reducing mastectomy NCCN Guidelines Colorectal cancer - Colonoscopy Endometrial and ovarian cancer - Consider option of risk-reducing hysterectomy and bilateral salpingo-oophorectomy, annual office endometrial sampling is an option Endometrial cancer - Discuss option of risk-reducing hysterectomy, consider annual random endometrial biopsies and/or ultrasound Breast cancer - Recommend breast MRI, discuss option of risk-reducing mastectomy Thyroid cancer - Annual thyroid ultrasound Colorectal cancer - Colonoscopy Renal cancer - Consider renal ultrasound RAD51D Actionable Ovarian cancer - Recommend/consider risk-reducing salpingo-oophorectomy NCCN Guidelines Actionable Mutations PMS2 Actionable NCCN Guidelines PTEN Actionable NCCN Guidelines MSH6 Actionable NCCN Guidelines MLH1 Actionable NCCN Guidelines MEN1 Actionable Expert opinion / consensus statements BRCA1 Actionable NCCN Guidelines BRCA2 Actionable NCCN Guidelines CDKN2A Non-actionable FAM175A Non-actionable FANCC Non-actionable FLCN Non-actionable MUTYH Non-actionable Non-Actionable Mutations
  • 58.
  • 59. A PHASE III CLINICAL TRIAL OF BEVACIZUMAB WITH IV VERSUS IP CHEMOTHERAPY IN OVARIAN, FALLOPIAN TUBEAND PRIMARY PERITONEAL CARCINOMA NCI-SUPPLIED AGENT(S): BEVACIZUMAB (NSC #704865, IND #7921) NCT01167712 a GOG/NRG Trial (GOG 252) Joan L. Walker; Mark F Brady; Paul A DiSilvestro; Keiichi Fujiwara; David Alberts; Wenxin Zheng; Krishnansu Tewari; David E Cohn; Matthew Powell; Linda van Le; Stephen Rubin; Susan A Davidson; Heidi J Gray; Steven Waggoner; Tashanna Myers; Carol Aghajanian; Angeles Alvarez Secord; Robert S Mannel
  • 60. GOG 252: IP chemo and dose dense Paclitaxel showed improved OS, both have toxicities; which is best? Should we use dose dense Paclitaxel? Should we use IP chemotherapy? Should we use Bevacizumab? • JGOG 3016 showed improved OS, but not replicated in the US • GOG 172 showed survival advantage, but was toxic, with only 42% receiving 6 cycles; additional studies were done to address the toxicity: -GOG9916/17 Substituted IP carbo for cisplatin -GOG9921 Reduced IP cisplatin dose • GOG 218 showed improved PFS with Bev, and feasibly safe with IP Chemo Arm 1: Dose dense Paclitaxel Arm 2: IP Chemo substitute Arm 3: Include Bevacizumab Key questions for GOG 252 Indications and contemporary results Implications for GOG 252 schema All: IP chemo, reduced cisplatin dose
  • 61. Arm 1 Arm 2 Arm 3 GOG 252: Schema • Stage II-III Epithelial Carcinoma: Ovary, Fallopian Tube, Peritoneal • Resected to optimal: less than or equal to 1 cm visible tumor by surgeon report • Exploratory: suboptimal (7%) and Stage IV (5%) Eligibility
  • 62. Differences in Dosing in GOG 252 Arm 3 IP Cisplatin compared to GOG 172 • Dose reduction cisplatin(100 down to 75 mg/m2) • Infusion time reduction 135 mg/m2 paclitaxel(3 hr instead of 24h) • All outpatient therapy • Bevacizumab 15 mg/m2 for all arms on cycles 2-22 • Comparison arm dose dense paclitaxel with carbo IV AUC 6- GOG 262 (JGOG) • Second experimentalArm IP carbo and dose dense paclitaxel
  • 63. Progression Free Survival Optimal Stage II-III (10% stage II) • Estimated hazard ratios, and logrank tests are adjusted for stage of disease and size of residual disease micro vs < 1cm • CT required every 6 months for surveillance (not required in GOG 114/172) Arm N Events Median PFS HR [95% CI] Logrank Logrank IV Carbo 461 303 26.8 months Reference arm P-value Chi square IP Carbo 464 300 28.7 months 0.947 [0.808- 1.11] 0.416 0.661 IP Cisp 456 307 27.8 months 1.01 [0.858-1.18] 0.727 0.122
  • 64. P r o g r e s s i o n - F r e e S u r v iv a l b y T r e a t m e n t G r o u p S ta g e II o r III O p ti m a l l y D e b u l k e d T r e a tm e n t G r o u p E ve n ts T o ta l M e d i a n ( m o s ) 1 : C r b ( IV ) + T + B e v 3 0 3 4 6 1 2 6 .8 2 : C r b ( IP ) + T + B e v 3 0 0 4 6 4 2 8 .7 3 : C i s ( IP ) + T + B e v 3 0 7 4 5 6 2 7 .8 0 .2 0 .4 0 .6 0 .8 1 .0 ProportionSurviving Progression-Free 3 : C i s ( IP ) + T + B e v 2 : C r b ( IP ) + T + B e v 1 : C r b ( IV ) + T + B e v T r e a tm e n t G r o u p 2 6 .8 2 8 .7 2 7 .8 E ve n ts T o ta l M e d i a n ( m o s ) 3 0 3 4 6 1 3 0 0 4 6 4 3 0 7 4 5 6 Progression Free Survival Optimal Stage II-III 0.0 0 12 24 36 48 60 72 Months on Study 1 461 387 244 169 111 37 0 2 464 391 262 177 125 39 0 3 456 372 255 168 120 34 0
  • 65. P r o g r e s s i o n -F r e e S u r v iv a l b y T r e a tm e n t G r o u p S ta g e III w i th N o G ro s s R e s i d u a l D i s e a s e • T re a tm e n t G ro u p E ve n ts To ta l M e d i a n ( m o s ) 1 : C rb (IV )+ T + B e v 1 4 4 2 3 9 3 1 .3 • 2 : C rb (IP )+ T + B e v 1 4 5 2 3 8 3 1 .8 • 3 : C i s (IP )+ T + B e v 1 3 8 2 3 9 3 3 .8 0 .2 0 .4 0 .6 0 .8 1 .0 ProportionSurviving Progression-Free 3 : C i s (IP )+ T + B e v 2 : C rb (IP )+ T + B e v 1 : C rb (IV )+ T + B e v T re a tm e n t G ro u p 3 1 .3 3 1 .8 3 3 .8 1 4 4 2 3 9 1 4 5 2 3 8 1 3 8 2 3 9 E ve n ts T o ta l M e d i a n ( m o s ) Progression Free Survival Optimal Stage III NGR 0.0 0 12 24 36 48 60 72 Months on Study 1 239 203 141 97 66 21 0 2 238 209 152 103 72 21 0 3 239 204 150 104 76 24 0
  • 66. Across Study Comparisons for PFS Arm Study PFS Median in mos No visible dx Stage 3 PFS median mos 1 cm or less visible dx GOG 114 & 172 IV cisplatin 33.4 GOG 172 IV cisplatin 43.2 18.3 GOG 252 IV carbo 31.3 26.8 (10% stage II) GOG 114 & 172 IP cisplatin 43.2 GOG 172 IP cisplatin 60.4 23.8 GOG 252 IP carboplatin 31.8 28.7 (10% Stage II) GOG 252 IP cisplatin 33.8 27.8 (10% Stage II)
  • 67. Discussion • Survival for optimal and no residual disease participants will not be available for a few years. • Dose reductions of paclitaxel and cisplatin as well as cross- over may have compromised efficacy. • Dose dense paclitaxel may have improved efficacy to allow us to abandon IP chemo- must we wait- combine both? • Bevacizumab interactions could have clouded analysis
  • 68. Conclusions • All arms have excessive toxicity • Neurotoxicity is similarly high in all arms • Reserve changes in treatment recommendations until survival data available for no residual disease high grade serous Stage III participants. • IP Cisplatin increases bevacizumab associated HTN