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Eleventh European International Kidney Cancer Symposium29-30 April 2016 Crowne Plaza Barcelona—Fira Center, Barcelona, Spain
Biomarkers for Targeted Therapy in RCC:
Any Progress?
James J. Hsieh, MD PhD
Medicine, GU Oncology
Memorial Sloan Kettering Cancer Center
Eleventh European International Kidney Cancer Symposium29-30 April 2016 Crowne Plaza Barcelona—Fira Center, Barcelona, Spain
Kidney Cancer Care
Before 2005, The Dark Age
Motzer RJ, et al. J Clin Oncol 2000;1928-35
Survival With Chemotherapy and Cytokines Retrospective
MSK Experience
Years Following Systemic Therapy
Tick mark (I) indicates last follow-up
Pro
po
rtio
n S
urv
ivin
g
Cytokine therapy (396 patients, 48 alive)
Interferon- 294 patients
Interleukin-2 68 patients
Both 34 patients
Chemotherapy (274 patients, 9 alive)
1.0
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0.0
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Interferon Response rate = 12%
Median PFS to Interferon= 4.7 months
Motzer RJ, et al. J Clin Oncol 2002;20:289–296
6
Current Signaling Targets in ccRCC (8 approved, 1 coming)
RAS
RAF
MEK
MAPK
HIF1/2
Target Genes
PI3K
AKT
mTORC1
Tumor Cell
Nucleus
HIF-1/2α
PTEN
Everolimus
Temsirolimus
Endothelial Cell
TIE2
Bevacizumab
FGF
PDGF
VEGF Sunitinib, Sorafenib,
Pazopanib, Axitinib
FGFR
PDGFR
VEGFR
Angiogenesis
mTORC2
TSC1/2
S6K
4EBP1
Rheb
HIF-1/2α
VHL
MET
Cabozantinib
Lenzatinib
1992-2005
Treatment for ccRCC(Past, Now & Future)
Sorafenib
Sunitinib
Temsirolimus
High dose interleukin-
2
2005 2006 2007 2008 2009
Bevacizumab + IFN
AxitinibInterferon- Everolimus
2010
Pazopanib
2012 2013-2015
Nivolumab
2016
Dark Age Modern Age Golden Age
• Lenvatinib
• Ipilimumab etc.
• Precision
• Combination Sequence
• Immunization
• Prevention
• DetectionHsieh, April, 2016
Cabozantinib
Targeted Therapy 2005-2015
Pan-Omics of Three Major Kidney Cancer Types
Creighton et al. Cell Reports 2016
A Clear Picture of Clear Cell Renal Cell Carcinoma
(Stage I ~ IV) (A Disease of Loss of 3p TSGs)
Hakimi et al. EU 2013, Nat Gen 2013
49%
29%
8%
6%
8%
MSKCC (n=185)
Swanton et al. NEJM 2012; NG 2014
Therapeutic Reponses & GenomicsCorrelations between Gene Mutations and Outcomes
of Targeted Therapy (VEGF & mTORC1 Inhibitors) of Patients
With Metastatic Clear Cell Renal Cell Carcinoma.
?
298 Cases:
128 Everolimus; 170 Temsirolimus
Treatment duration ≥20 months
14 cases: 7 Everolimus; 7 Temsirolimus
265 Cases
100 everolimus; 165 temsirolimus
6 cases
2 Everolimus; 4 Temsirolimus
13 Cases
6 Everolimus; 7 Temsirolimus
Remove patients receiving combination therapies
Remove patients without research consent to tissue procurement
Remove patients without tissue specimens available for analysis
The MSKCC mTOR Inhibitor Cohort
Voss et al. CCR 2014
R1
R2
R3
R4
R1
R49-
Voss et al. CCR 2014
Mutations in TSC1, TSC2, and MTOR are associated with response to
rapalogs in patients with metastatic Renal Cell Carcinoma.
Kwiatkowski DJ, Choueiri TK, Fay AP, Rini BI, Thorner AR, De Velasco G, Tyburczy M, Hamieh L, Albiges L,
Agarwal N, Ho TH, Song J, Pignon JC, Barrios PM, Michaelson MD, Van Allen EM, Krajewski KM, Porta C, Pal
SK, Bellmunt J, McDermott DF, Heng DY, Gray KP, Signoretti S.
Clin Cancer Res. 2016 Feb 1. pii: clincanres.2631.2015. [Epub ahead of print] PMID: 26831717
Voss et al. CCR 2014, Wei et al. NRU 2015
Now & Near Future:
Omics-Based Precision Therapy
Immunotherapy
Overcome Resistance (Multipharmacy)
Cancer Cell. 2014 Sep 8;26(3):309-17
PBRM1: The Second Most Commonly Mutated Gene in Human ccRCC
Loss of Vhl and Pbrm1 in mouse kidney causes
polycystic kidney disease and early mortality.
Ksp;Vhl-/-;Pbrm1-/- mice develop
multifocal clear cell kidney cancer
PBRM1 functions like an electrical resistor
in restraining the transcription of
HIF and STAT target genes when VHL is lost.
Convergence on the mTOR pathway activation
among ccRCC from mouse Ksp;VhlF/F;Pbrm1F/F mouse Hif1-TRACK,
and human VHL/PBRM1 mutants.
Three distinct genetic/epigenetic events in the development of ccRCC.
RECORD-3 (Whole 471 & NGS ccRCC 220)
OS, overall survival;
PFS, progression-free survival.
85% ccRCC
Primary endpoint analysis:
Median PFS first-line (mo)
Everolimus Sunitinib
7.9
(8.3 NGS)
10.7
(10.8 NGS)
Hazard Ratio = 1.4
2-Sided 95% CI [1.2–1.8]
Primary
• PFS – 1st-line noninferiority of everolimus to sunitinib
Key Secondary
• PFS – combined
• OS (E-S 22.4 months; S-E 29.5 months)
• Safety
Study endpoints
Motzer RJ et al. J Clin Oncol. 2014
1 : 1
R
A
N
D
O
M
I
Z
E
Everolimus
n=238
(109 NGS)
SC
RE
EN
Sunitinib
n=233
(111 NGS)
1st Line
Everolimus
n=99
(53 NGS)
Sunitinib
n=108
(59 NGS)Cro
sso
ver u
po
n
pro
gre
ss
ion
2nd Line
RECORD-3 vs. Published Datasets (Stage I-IV)
VHL PBRM1
BAP1
SETD2
KMD5C PTEN
49%
82%
52%
75% (n=164)
0% 50% 100%
Haikimi 2013 (n=185)
Sato 2013 (n=240)
TCGA (n=417)
RECORD-3 (n=220)
29%
41%
33%
46% (n=101)
0% 20% 40% 60% 80% 100%
Haikimi 2013 (n=185)
Sato 2013 (n=240)
TCGA (n=417)
RECORD-3 (n=220)
8%
11%
12%
30% (n=65)
0% 20% 40% 60% 80% 100%
Haikimi 2013 (n=185)
Sato 2013 (n=240)
TCGA (n=417)
RECORD-3 (n=220)
6%
10%
10%
19% (n=42)
0% 25% 50%
Haikimi 2013 (n=185)
Sato 2013 (n=240)
TCGA (n=417)
RECORD-3 (n=220)
8%
4%
7%
15% (n=32)
0% 25% 50%
Haikimi 2013 (n=185)
Sato 2013 (n=240)
TCGA (n=417)
RECORD-3 (n=220)
1.TCGA Nature. 2013; 2. Sato Y et al. Nat Genet. 2013; 3. Haikimi A et al. Eur Urol. 2013
2%
4%
12% (n=26)
0% 25% 50%
Sato 2013 (n=240)
TCGA (n=417)
RECORD-3 (n=220)
PFS1L and PBRM1 Mutation in ccRCC
PBRM1 Mutations: Comparable Benefit from Everolimus and Sunitinib
RED: Everolimus
Blue: Sunitinib
MT
WT
PFS1L and BAP1 Mutation in ccRCC
BAP1 Mutations: Worse on either
Everolimus or Sunitinib
RED: Everolimus
Blue: Sunitinib
MT
WT
Three Distinct ccRCC Molecular Subgroups
Differential Overall Survival on Targeted Therapies
(Treatment Sequence Matters)
BAP1 20%
PBRM1 46%
KDM5C 15%
Genetic Alteration Missense Mutation Truncating Mutation
BAP1
KDM5C
PBRM1
PFS1L and KDM5C Mutation in ccRCC
KDM5C Mutations with Exceptional Sunitinib Benefit
RED: Everolimus
Blue: Sunitinib
MT
WT
KDM5C MT Male Patients are
Long-term Responders to Sunitinib
RED: Sun-Eve
Green: Eve-Sun
MT
WT
BAP1 Gr (19%) PBRM1 Gr (35%) KDM5C Gr (14%) WT Gr (32%)
Proposed 2016 ccRCC Molecular Subgroups
For Precision Therapeutics
Hsieh et al. 2016
Currently Off
Treatment
Since Jan 2016
25yo
Saudi
Arabia
Male
Metastatic
Kidney
Cancer
Ipi+Nivo plus XRT in 2015
Kidney Cancer Evolution
& Therapeutic Opportunities
A Braided River Model
Wei & Hsieh, NRU 2015
Multipharmacy
Immuotherapy
Multipharmacy
MSKCC
TKCRP
4/2016
MSK Kidney Cancer
Core Lab
James HsiehDina Djesevic
Jianing Xu
Amrita Nargund
Toshinao Oyama
Jozefina Casucelli
Chelsea Ray
Maria Becerra
Yiyu Dong
Smrutiben Mehta
Yasin Senbabaoglu
Emily ChengToru Wakamatsu
Kwanghee Kim
Yogesh Ganesan
Song Han
Yuchen Xie
MetabolomicsMetabolon
Genomics
NYGC
Antibodies
Eureka
Cores
IGO/CMO
Metabolomics
ProteomicsSurgery
Paul Russo
Ari Hakimi
J. Coleman
Brandon Manley
Comp BioChris Sander
Nils WeinholdEdward ReznikJohn Chodera
Steven AlbaneseChristina Leslie
Hatice Osmangeyoglu
Radiology
Hedi Hricak
Kayvan Keshari
Evis Sala
Omer Aras
Jeremy Durack
Biostatistics
Mithat Gonen
Irina Ostrovnaya
Elli Papaemmanuil
Venkat Seshan
Emily Zabor
Medicine
Bob Motzer
James Hsieh
Martin Voss
Darren Feldman
Joe Lee
Maria Carlo
Pathology
Victor Reuter
Ying-Bei Chen
Satish Tickoo
Chris Iacobuzio
Mike Berger
Lu Wang
TCGA
& KCA
& ACKC
& Rare KCA
Immunology
Ming Li
NIH NCI
The Randy & Kathy MacDonald Fund
The Tuttle Fund
The Dahan TFE3 Fund
The Weiss Fund
The Bryan Fund
Rock Out For the Cure
Cycle for Survival
Functional Genomics Initiative
Pfizer Inc.
Novartis Inc.
CGI Inc.
Than
Thank You