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THE SEARCH FOR BIOMARKER IN RCC
Viktor Grünwald, MD
Interdisciplinary GU Oncology
University Hospital Essen
DISCLOSURE OF INTEREST
Employment: University Hospital Essen
Honoraria for speaker engagements and advisory roles: Art tempi, AstraZeneca, Astellas, BMS, Cerulean, COCS, ClinSol, EUSAPharm, EISAI, Ipsen, MedUpdate, Merck Serono, MSD Merck, MedKomAkademie, Novartis, NewConceptOncology, Lilly, Johnson & Johnson, PharmaMar, PeerVoice, Pfizer, Roche, StreamedUp!, ThinkWired!
Funding: BMS, Novartis, EISAI, Pfizer, MSD, AstraZeneca, Roche, Ipsen
Ownership of any stocks and shares: AstraZeneca, BMS, MSD
WHICH BIOMARKERS CAN BE USED FOR PREDICTION?
• baseline marker (pre-therapeutic)
• RCC subtypes
• TNM
• IMDC
• molecular marker (PBRM1, BAP1)
• Immunogenicity (PD-L1, CD8 cells)
• on-treatment marker
• CT changes (RECIST)
• serum marker
DEFINITIONS
Marker can be predictive, prognostic or both
Prognostic
• correlates with overall survival (OS) upon
standard intervention
Predictive
• correlates with therapeutic outcome (PFS)
Gore et al. ASCO 2007
ESTABLISHED CLINICAL PROGNOSTIC PARAMETERS
Clinical and laboratory parameters are standard prognostic factors
time to
medical
treatmen
t
Hyper-
calcaemi
a
Anemia
Perform
ance
status
LDH
Thromb
o-
cytophili
a
Neutro-
philia IMDCtime to
medical
treatmen
t
Hyper-
calcaemi
a
Anemia
Perform
ance
status
GOOD RISK RCC HAVE A DISTINCT BIOLOGY
Selection of VEGF-driven tumors
Heng et al. (2009). JCO, 27(34), 5794–5799.
Rini et al. ESMO 2018: LBA31
∆ good vs. interm./poor risk (%) P-value
HIF2a +57 0.03
VEGFA +67 0.07
VEGFR-1 +100 0.02
VEGFR-2 +128 0.009
VEGFR-3 +52 0.03
Beuselinck et al. ESMO 2018: 869PD
CHROMATIN REMODELING IS KEY IN RCC CARCINOGENESIS
Kapur, P. et al. Effects on survival of BAP1 and PBRM1 mutations in sporadic clear-cell renal-cell
carcinoma: a retrospective analysis with independent validation. Lancet Oncol 14, 159–167 (2013).
CCRCC - A DIVERSE DISEASE
Hsieh, J., Le, V., Oyama, T., Ricketts, C., Ho, T., Cheng, E. (2018). Chromosome 3p Loss-Orchestrated VHL, HIF, and Epigenetic Deregulation in Clear Cell
Renal Cell Carcinoma. Journal of Clinical Oncology 36(36), JCO2018792549 - 3539. https://dx.doi.org/10.1200/jco.2018.79.2549
POTENTIAL IMPROVEMENT OF CURRENT CLINICAL SCOREBAP1, PBRM1 and TP53 may improve clinical risk systems - validation to be
performed
TP53mt
BAP1mt
PBRM1wt*
1. MD, M. H. V. et al. Genomically annotated risk model for advanced renal-cell carcinoma: a retrospective cohort study. Lancet Oncology 1–11 (2018). doi:10.1016/S1470-2045(18)30648-X
negative prognosticators
*or mutated in
combination with
concurrent TP53 or BAP1
mutation
KDM5C, TERT SETD2 were not significant
PBRM1mt
PBRM1, ALSO A PUTATIVE PREDICTIVE MARKER FOR PD-
1I?
Miao, D., Margolis, C., Gao, W., Voss, M., Li, W., Martini, D., Norton, C., Bossé, D., Wankowicz, S., Cullen, D., Horak, C., Wind-Rotolo, M., Tracy, A., Giannakis,
M., Hodi, F., Drake, C., Ball, M., Allaf, M., Snyder, A., Hellmann, M., Ho, T., Motzer, R., Signoretti, S., Kaelin, W., Choueiri, T., Allen, E. (2018). Genomic
correlates of response to immune checkpoint therapies in clear cell renal cell carcinoma Science (New York, NY) 359(6377), 801 - 806.
https://dx.doi.org/10.1126/science.aan5951
NOT CONFIRMED IN SUBGROUPS FROM PROSPECTIVE TRIAL
McDermott, D. et al. (2018). Clinical activity and molecular correlates of response to atezolizumab alone or in combination with bevacizumab versus sunitinib in renal cell carcinoma Nature Medicine 24(6), 749-757. https://dx.doi.org/10.1038/s41591
NEITHER IN A SEPARATE COHORT
Study did not show association in pts. treated with checkpoint inhibitors
Hakimi et al. 2019 ASCO GU : abstr. 666 Total cohort N=2,152. RCC cohort: 143
n=143 (RCC only)
PRECISION ONCOLOGY - ANY CHANCE IN MRCC?
Genetic differences may lead to molecular oncology
Gerlinger et al. (2012). NEJM, 366(10), 883–892.
http://doi.org/10.1056/NEJMoa1113205Bailey, M. et al. (2018). Comprehensive Characterization of Cancer Driver Genes and
Mutations Cell 173(2), 371 - 385.e18. https://dx.doi.org/10.1016/j.cell.2018.02.060
WHOLE EXOME SEQUENCING - WORK IN PROCESS
Always consider limitations of a given technique in the clinic
Shi, W. et al. Reliability of Whole-Exome Sequencing for Assessing Intratumor Genetic Heterogeneity. CellReports 25, 1446–1457 (2018).
• intratumor heterogeneity difficult to distinguish from
sequencing artifacts
• 69% of somatic mutations are false positive
• 34-80% of somatic mutation are background noise
• exclusion of mutations in low-mappable regions may
help
TYPE 1 PAPILLARY RCC - A MET-DRIVEN DISEASE?
Albiges, et al. J Clin Oncol 2018
MOLECULAR ONCOLOGY IN MRCC
Crizotinib is active in MET+ papillary type 1 mRCC
Schöffski, P., Wozniak, A., Escudier, B., Rutkowski, P., Anthoney, A., Bauer, S., Sufliarsky, J., Herpen, C., Lindner, L., Grünwald, V., Zakotnik, B., Lerut, E., Debiec-Rychter, M.,
Marreaud, S., Lia, M., Raveloarivahy, T., Collette, S., Albiges, L. (2017). Crizotinib achieves long-lasting disease control in advanced papillary renal-cell carcinoma type 1 patients with
MET mutations or amplification. EORTC 90101 CREATE trial EUROPEAN JOURNAL OF CANCER 87(), 147 - 163. https://dx.doi.org/10.1016/j.ejca.2017.10.014
TSC MUTATIONS
A putative predictor for mTOR inhibition?
Rosset, C., Netto, C., Ashton-Prolla, P. (2017). TSC1 and TSC2 gene
mutations and their implications for treatment in Tuberous Sclerosis
Complex: a review Genetics and Molecular Biology 40(AHEAD), 0-0.
https://dx.doi.org/10.1590/1678-4685-gmb-2015-0321
Voss, M., Chen, D., Reising, A. et al.. (2019). PTEN Expression, Not Mutation Status in TSC1, TSC2, or mTOR,
Correlates with the Outcome on Everolimus in Patients with Renal Cell Carcinoma Treated on the Randomized
RECORD-3 Trial. Clinical cancer research : an official journal of the American Association for Cancer Research
25(2), 506 - 514. https://dx.doi.org/10.1158/1078-0432.ccr-18-1833
PTEN EXPRESSION
Instead PTEN level predicts PFS for mTORi, but not for TKI
Voss, M., Chen, D., Reising, A. et al.. (2019). PTEN Expression, Not Mutation Status in TSC1, TSC2, or mTOR, Correlates with the Outcome on Everolimus in Patients with Renal Cell Carcinoma
Treated on the Randomized RECORD-3 Trial. Clinical cancer research : an official journal of the American Association for Cancer Research 25(2), 506 - 514. https://dx.doi.org/10.1158/1078-
0432.ccr-18-1833
SunitinibEverolimus
BASELINE QOL IS PROGNOSTIC
Poor QoL scores correlate with poor OS
FKSI-DRS-P FACIT-F
Grünwald et al. ESMO 2016: 817P
IS QOL IMPROVEMENT PROGNOSTIC IN MRCC?
Patients who improve in QoL achieve a better OS
Cella, D. et al. Quality of life in patients with advanced renal cell carcinoma given nivolumab versus everolimus in CheckMate 025: a randomised, open-label, phase 3 trial. Lancet Oncol 17,
994–1003 (2016).
QoLlow QoLhigh
EARLY TUMOR SHRINKAGE IS PROGNOSTIC IN MRCC
Patients with ≧10% tumor shrinkage have favorable outcome
1. Grünwald, V., Lin, X., Kalanovic, D. & Simantov, R. Early Tumour Shrinkage: A Tool for the Detection of Early Clinical Activity in Metastatic Renal Cell Carcinoma. Eur Urol 70, 1006–1015
(2016).
2. Grünwald, V., Dietrich, M. & Pond, G. R. Early tumor shrinkage is independently associated with improved overall survival among patients with metastatic renal cell carcinoma: a validation
study using the COMPARZ cohort. World journal of urology 369, 722–7 (2018).
DIFFERENCES IN RESPONSE PATTERN BETWEEN CPI AND TKI EXIST
≧ 50% tumor shrinkage is prognostic with CPI treatment
950P Grünwald et al. ESMO 2019
HYPERPROGRESSION IS A CLINICAL REALITY (CPI THERAPY)
Patient selection may help to decrease this risk
1. Escudier, B. et al. Treatment Beyond Progression in Patients with Advanced Renal Cell Carcinoma Treated with Nivolumab in CheckMate 025. Eur Urol 72, 368–376 (2017).
INTERPLAY OF PD-L1 AND TILS
PD-L1 is only 1 component of a complex system
H&E PD-L1 TILs (CD3+)
Mansfield et al. (2016). Annals of Oncology, mdw289. http://doi.org/10.1093/annonc/mdw289
NSCLC (primary)
CNS mets.
N=146 paired lesions, 73 cases. Discrepencies: 14% (tumor), 26% (TILs)
PD-L1 IS A REASONABLE PREDICTOR IN 1ST LINE
Enrichment for CR can be achieved by PD-L1 status in mRCC
Pembrolizumab1 Atezolizuamb2 Ipilimumab + nivolumab3
PD-L1+ PD-L1- PD-L1+ PD-L1- PD-L1+ PD-L1-
ORR 50 26 28 NR 53 36
PR 44 26 13 NR 39 27
CR 7 0 15 NR 14 9
1McDermott et al. ASCO 2018: 4500. 2McDermott et al. Nat Med 2018 pp1-14. 3Escudier et al. ESMO 2017: LBA5
PD-L1 STATUS IS PREDICTIVE FOR IPI-NIVO
284 202 155 119 102 90 70 23 9 1 0278 200 138 105 83 67 43 25 11 1 0
PD-L1 <1% (n = 562) PD-L1 ≥1% (n = 214)
HR (95% CI) 0.48 (0.28–0.82)P = 0.0003
Median PFS, months (95% CI)NIVO + IPI 22.8 (9.4–NE)SUN 5.9 (4.4–7.1)
HR (95% CI) 1.00 (0.74–1.36)P = 0.9670
Median PFS, months (95% CI)NIVO + IPI 11.0 (8.1–14.9)SUN 10.4 (7.5–13.8)
NIVOSUN
No. at Risk
100 77 61 54 50 48 41 21 8 2 0114 63 40 24 17 13 9 4 0 0 3
0.8
0.9
1.0
0.4
0.5
0.6
0.7
0 963 21181512 302724
0.1
0.0
0.2
0.3
0.8
0.9
1.0
0.4
0.5
0.6
0.7
0 963 21181512 302724
0.1
0.0
0.2
0.3
Prog
ress
ion-
Free
Sur
viva
l (Pr
obab
ility
)
MonthsMonths
Escudier et al ESMO 2017 LBA5
HOWEVER, IT LACKS PROGNOSTIC ABILITY
Motzer et al. SITC 2017: O38
BEST OF BOTH WORLDS - TIME TO RE-THINK
VEGFi-CPI combos dilute predictivity of risk categories
Motzer et al, ESMO 2018 LBA6_PR
JAVELIN101: AXI-AVELU
Mod. Motzer R et al. ASCO-GU 2018, Abstract No. 578
CAN WE DO BETTER?
Genetic signatures may dissect treatment strategies
Mod. Rini BI et al. ESMO 2018, Proffered paper session – Genitourinary tumours, non prostate, Abstract No. LBA31
Tumour cells
T-effector cells
Myeloid cells
Vasculature
AngiogenesisHigh
T-effectorHigh
T-effectorHigh
MyeloidHighT-effectorHigh
MyeloidLow
PD-L1 IHC
Angi
o-ge
nesi
sIm
mun
e, A
ntig
en
Pres
enta
tion
Mye
loid
In
flam
-m
atio
n
3 -3-2-1012 PD-L1 IHC
IC0 IC1 IC2 IC3
IMMOTION151: ANGIOGENIC SIGNATURE
Impact is not exclusive to sunitinib treatment
Mod. Rini BI et al. ESMO 2018, Proffered paper session – Genitourinary tumours, non prostate, Abstract No. LBA31
Sunitinib
PFS
Months
AngiogenesisLow (n=177)AngiogenesisHigh (n=230)
PFS
Atezolizumab + Bevacizumab
AngiogenesisLow (n=151)AngiogenesisHigh (n=265)
Months
HR (95% CI)
Sunitinib Atezo + Bev
Angiogenesis (High vs. Low) 0.59 (0.47, 0.75) 0.86 (0.67, 1.1)
5.95 10.12 8.94 12.45
IMMOTION151: T-EFFECTOR CELLS
Teff high RCC are more responsive to ATEZO-BEV
Mod. Rini BI et al. ESMO 2018, Proffered paper session – Genitourinary tumours, non prostate, Abstract No. LBA31
T-effectorLow
PFS
Months
Sunitinib (n=182)Atezo + Bev (n=164)
PFS
T-effectorHigh
Sunitinib (n=234)Atezo + Bev (n=243)
Months
HR (95% CI)
T-effectorLow T-effectorHigh
Atezo + Bev vs. Sunitinib 0.91 (0.73, 1.14) 0.76 (0.59, 0.99)
8.41 9.72 8.34 12.45
• T-effector gene signature did not differentiate PFS within the Sunitinib or Atezolizumab + Bevacizumab treatment arms
Rini B, et al. IMmotion151 Biomarkers. ESMO 2018 [abstract LBA31]. http://bit.ly/2yaVgyI
P = 0.35PD-L1 Expression
61%
39% 43%
57%
25%
Patie
nts
(%)
100%
75%
50%
0%
Favourable Intermediate/Poorn = 156 n = 667
Patie
nts
(%)
100%
75%
50%
25%
0%
Favourable Intermediate/Poorn = 156 n = 667
P = 0.1T-effector Gene Signature
64%
36% 43%
57%
Patie
nts
(%)
100%
75%
50%
25%
0%
Favourable Intermediate/Poorn = 156 n = 667
P = 8.26e-05Angiogenesis Gene Signature
26%
74%
57%
43%
AngioLow
AngioHighTeff
Low
TeffHigh
NegativePositive
Angiogenesis Gene Expression Is Higher in Favourable MSKCC Risk Group
CONCLUSIONS
• pre-therapeutic marker guide treatment choice in mRCC
• Current clinical risk categories are both, predictive and prognostic
• QoL, PBRM1, TP53 and BAP1 are candidate markers for further advancement
• On-treatment markers are more difficult to interpret
• Improvement in QoL or quality of response correlate with better prognosis
• PD-L1 enriches for complete responses during CPI treatment
• Combinations of TKI + CPI require novel marker for prediction