PI3K INHIBITION Gianluca Gaidano, M.D., Ph.D Division of Hematology - - PowerPoint PPT Presentation
PI3K INHIBITION Gianluca Gaidano, M.D., Ph.D Division of Hematology - - PowerPoint PPT Presentation
PI3K INHIBITION Gianluca Gaidano, M.D., Ph.D Division of Hematology Department of Translational Medicine Amedeo Avogadro University of Eastern Piedmont Novara-Italy Disclosures Roche (Advisory Board) Janssen (Advisory Board) Amgen (Advisory
Disclosures
Roche (Advisory Board) Janssen (Advisory Board) Amgen (Advisory board, research support) Gilead (Speakers’ bureau) Novartis (Advisory Board) Morphosys (Advisory Board) Abbvie (Advisory Board) Karyopharm (Advisory Board)
Outline
- Rationale for the need to circumvent genotoxic refractoriness
- The B cell receptor in B cell malignancies
- Therapeutic targets of the B cell receptor cascade: PI3K
NF-kB
BIRC3 NFKBIE
NOTCH
NOTCH1 FBXW7 SPEN Apoptosis BCL2
TLR
MYD88
Molecularly deregulated cellular programs in indolent B-cell malignancies
mIR15/16 DNA damage response
P
TP53
P
TP53
P
Cell cycle TP53 ATM SF3B1 POT1 CDKN2A MYC
Puente, Nature 2015
Pathogenesis of CLL
Initiation Progression Chemorefractoriness Transformation Microenvironment Interactions Trasforming Lesion Secondary Lesion Predisposition Promotion/Accumulation
Polygenic IRF4 IRF8 MYC Other del13q +12 TP53 NOTCH1 SF3B1 BIRC3 ATM MYC CDKN2A Signaling pathways BCR NF-kB TLR CD38 VLA-4 integrins NOTCH CXCR4
Font size according to gene mutation prevalence Fabbri, J Exp Med 2011; Puente, Nature 2011; Rossi, Blood 2011; Quesada, Nat Genet 2011; Wang, N Engl J Med 2011; Rossi, Blood 2012, Puente, Nature 2015
CLL mutations disclosed by NGS studies
- One of the tumor with the lowest background mutation load (0.6 per Mb)
- No unifying gene mutations
- TP53, NOTCH1, SF3B1, ATM mutated in >5% CLL
TP53 abnormalities in CLL
5’ 3’ 1 DNA BINDING EX4 EX9 393 Missense Nonsense Frameshift
TP53
Frequency
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% MBL Early stage CLL CLL requiring treatment F-refactory CLL Richter syndrome TP53 M del17p13 TP53 M/del17p13 N=1/63 (1.5%) N=30/318 (9.4%) N=44/99 (44.4%) N=25/38 (65.7%) N=13/268 (4.8%) Dohner et al, New Engl J Med 2000 ; Rasi et al, Haematologica 2012; Zainuddin et al, Leuk Res 2011; Zenz et al J Clin Oncol 2010;Rossi et al Blood 2011
NOTCH11 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
SF3B1 TP531 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
17p1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
11q1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
121 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
13q1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
IGHV-U1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
All normal IGHV U +12 17p- 11q- 13q- IGHV M
NOTCH1 SF3B1 TP53 17p 11q 12 13q IGHV-U
Chr17
DNA damage P p53 P p21 cyclin B p53 P cyclin B cdc2 p21 BAX Caspase 9 Apoptosis Cell cycle arrest
17p-censored 11q-censored +12q-censored 13q-single- censored No aberration- censored
Months Hallek et al, ASH 2009 0 6 12 18 24 30 36 42 48 1.0 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 0 6 12 18 24 30 36 42 48 54 PFS Months
FCR
17p- on FCR
TP53 abnormalities in CLL
Stilgenbaueret al, ASH 2012 FC and TP53WT FC and TP53mut FCR and TP53WT FCR and TP53mut
EHA-20: Ljungstrom S121; Tausch LB2070 (novel FCR prognosticators)
Allo-SCT in High-Risk CLL CLL3X: multicenter GCLLSG
24 48 72 96 50 100 unknown (18) 17p- (13) 11q- (26)
- ther (21)
13q- (12)
Months from SCT
Dreger P, et al., Blood 2010; Dreger P, et al. Blood 2013
Genomic aberrations
Event-free Survival
Clonal architecture of TP53 mutated CLL
Scenario 1 Scenario 2 Scenario 3
TP53 mutation representation 80% TP53 mutation representation 20% TP53 mutation representation 1%
Detectable by Sanger sequencing Barely detectable by Sanger sequencing Not detectable by Sanger sequencing
TP53 unmutated Solely subclonal TP53 M Clonal TP53 M
263 122 15 18 4 28 6 Events Total 5-year OS 95% CI 77 263 75.1% 69.5-80.7% 9 18 46.3% 22.0-70.6% 19 28 34.6% 15.8-53.4%
- .0042
.<.0001 .0042
- .6926
<.0001 .6926
- p from pairwise comparisons
- No. at risk
Small TP53 mutated subclones have the same unfavorable prognostic impact as clonal TP53 defects
Rossi, Blood 2014
- 20%
0% 20% 40% 60% 80% 100%
- 10 -5
5 10 15 20 25 30 35 40 45 del17p p.G244D
Allele frequency ID9245 0.9% 66.0% 58.0%
FCR CR Diagnosis months Relapse Refractoriness
TP53 M (p.G244D)
Small TP53 mutated subclones are selected by treatment because of their chemoresistance
Small TP53 mutated subclone admixed to TP53 wild type clones Removal of TP53 wild type clones and selection of the TP53 mutated subclone Expansion of the TP53 mutated clone
Diagnosis Chemotherapy Progression Chemotherapy Refractoriness
TP53 mutated CLL cell
TP53 unmutated Solely subclonal TP53 M Clonal TP53 M
Poor outcome
Rossi, Blood 2014
Outline
- Rationale for the need to circumvent genotoxic refractoriness
- The B cell receptor in B cell malignancies
- Therapeutic targets of the B cell receptor cascade: PI3K
VH genes=44-52 D genes=27 JH genes=6 Cm VH D JH Cm 6-26 aa CDR3 VL VH CL CH SHM
P P
LYN SYK LYN
P P
LYN SYK
P P
SYK
External antigens Cell autonomous BCR signal
P P P P
LYN SYK
Y Y Y Y P P P P
LYN SYK
Y Y Y Y
von Minden MD et al, Nature. 2012
BCR rearrangement is the first genetic hit in CLL
Interaction between the CDR3 region of one BCR with another BCR that functions as an autoantigen Autoantigens exposed on apoptotic cells Microbial antigens
Chu CC et al, Blood. 2008; Catera R et al, Mol Med. 2008; Steininger C et al, Blood. 2012
Chronic BCR signaling
Stromal cell Nurse like cell
SDF-1
(CXCL12)
Solid Tissue
Blood
Exit
Blood
BCR signaling TLR signaling
CD5
CLL
CXCR4 CD38 BCR
CLL
CXCR4 CD5 CD38 BCR
CLL
CXCR4 CD5 CD38 BCR
CLL
CXCR4 CD5 CD38 BCR
CLL
CXCR4 CD5 CD38 BCR CLL CXCR4 CD38 BCR CLL CXCR4 CD38 BCR
Release
Death Life
Proliferative compartment Resting, re-entry compartment
CD5
Bulk
CD5
Re-initiate or survive/rest
CLL cells interact with the microenvironment through the BCR to gain proliferative advantages
Antigens?
Structural evidences
- Frequent expression of stereotyped BCRs: recognition of common antigens
Functional evidences
- High levels of BCR target genes in CLL cells
- Expression of constitutively active BCR signaling molecules
- BCR activation supports CLL cell survival in vitro
Clinical evidences
- Strong association between clinical course and IGHV mutation status
- BCR reactivity in vitro correlates with clinical course
- Response to BCR inhibitors
Hamblin et al, Blood 1999 Damle et al, Blood 1999 Messmer et al, J Exp Med. 2004 Agathangelidis A et al, Blood. 2012 Herishanu Y et al. Blood 2011 Byrd et al, NEJM 2013
Evidence that the initial expansion
- f the CLL clones is BCR driven
Outline
- Rationale for the need to circumvent genotoxic refractoriness
- The B cell receptor in B cell malignancies
- Therapeutic targets of the B cell receptor cascade: PI3K
Therapeutic targeting of BCR signalling
BCR: B-cell receptor; CML: chronic myeloid leukaemia
Wiestner A. J Clin Oncol 2013;31:128–130.
Antigen BCR CD79 Extracellular Intracellular
P P P P P P P P P
BTK LYN LYN S Y K A B PI3Kδ AKT mTOR PLCγ2 PKCβ IKK
NF-ĸB
PIP2 PIP3
Ibrutinib Acalabrutinib Idelalisib
P
S Y K
The different PI3Ks
p110ɑ p110β
p110δ
p110γ p85ɑ,β p55ɑ,γ p50ɑ p101 PI3K-C2ɑ PI3K-C2β PI3K-C2γ hVps34p
? p150
I II III
PI
B Class
Regulation Tyr kinase / associations Gβγ
? ?
PI / PI4P / PI4,5P2
C
PIK
Ras-B
C2
PI / PI4P
Adaptor/Regulat
- ry
subunit Catalytic subunit
A
C
PIK
Ras-B
C2 C
PIK
Ras-B
C2
PX
C2 C
PIK
C2
Ras-B: Ras binding domain Adapted from Vanhaesebroeck B, et al. Nat Rev Mol Cell Biol 2012;13:195–203.
PI3Kδ activates many downstream signalling pathways and is involved in crosstalk between multiple receptors RTK
P P P P P P
PIP2
P P P
PIP3
Class IB p110γ
GTP
ɑ β/γ GPCR Class IA
SH2 SH2
p110 ɑ/β/δ p85ɑ/β
Ras
SH3
Stimulation-dependent activation of Class I PI3K
GPCR: G protein-coupled receptor: RTK: receptor tyrosine kinase Adapted from: Guillermet-Guibert J, et al. Proc Natl Acad Sci USA 2008; 105:8292–8297. Maier U, et al. J Biol Chem 1999; 274:29311–29317; Kubo H, et al. Biochem J 2005; 392:607–614.
PI3Kδ (p110δ) catalyses conversion of PIP2 to PIP3, which acts as a second messenger
PTEN: phosphatase and tensin homologue
- 1. Castillo JJ, et al. Onco Targets Ther 2014; 7:333‒342.
- 2. Somoza JR, et al. J Biol Chem 2015; 290:8439-8446.
PIP3 acts as a second messenger to activate pathways that regulate metabolism, proliferation and motility2
P p110 p85
PIP2 PIP3 PTEN Metabolism Migration Cell survival Cell and organ size Motility DNA damage Nutrient response Cell cycle
P P
PI3Kδ inhibition impacts multiple critical pathways in B-cell malignancies
Survival Survival Proliferation Chemokine secretion Motility Homing Retention Adhesion
BCAP: B-cell adaptor for PI3K; BCR: B-cell receptor; BTK: Bruton's tyrosine kinase; GEF: guanine nucleotide exchange factor; mTOR: mammalian target of rapamycin; PI3K: phosphatidylinositol-3- kinase; PKC: protein kinase C; SFK: Src family kinase; SYK: spleen tyrosine kinase Coutre S, et al. Leuk Lymphoma 2015; ePub ahead of print.
aCD19+ cells from patients with CLL
CLL: chronic lymphocytic leukaemia; FL: follicular lymphoma; PI3K: phosphatidylinositol-3-kinase; MZL: marginal zone lymphoma; WM: Waldenström macroglobulinaemia 1. Herman SE, et al. Blood 2010; 116:2078‒88.
- 2. Yahiaoui OI, et al. BMC Cancer 2014; 14:565.
- 3. Leseux L, et al. Blood 2006; 108:4156–4162.
PI3K is constitutively activated in B-cell malignancies
- PI3K pathway may be constitutively activated in
some patients with FL,2,3 WM and MZL
CLL cellsa have a significantly higher intrinsic PI3K activity than normal B cells (p=0.006)1
PI3K activity per µg of protein
1.75 1.00 0.75 0.50 0.25 1.25 1.50
CLL cells Normal B cells
Idelalisib: a potent and selective inhibitor of PI3Kδ
In vitro activitya (IC50)1 of Idelalisib and activity in cell-based assays (EC50)2 PI3K isoform IC50 (nM)1a IC50-based PI3Kδ fold selectivity1 EC50 (nM)2 EC50-based PI3Kδ fold selectivity2 19 1 8.9 1 8600 453 >10,000 1124 4000 210 1419 153 2100 110 2500 281
ɑ β γ δ
a In presence of 2xKm adenosine triphosphate
EC50: half maximal effective concentration; IC50: half maximal inhibitory concentration; PI3K: phosphatidylinositol-3-kinase
- 1. Somoza JR, et al. J Biol Chem 2015;290:8439-8446.
- 2. Zydelig CHMP assessment report (Jul 2014; available at
www.ema.europa.eu).
Propeller shape of Idelalisib contributes to its potency and selectivity for p110δ
Idelalisib is a first-in-class, oral, reversible inhibitor selective for PI3Kδ Idelalisib bound Idelalisib specifically binds to p110δ
To date, no mutations in the Idelalisib binding site have been reported
Idelalisib directly inhibits PI3Kδ activation via the BCR
Control BCR stimulation* Idelalisib Idelalisib + BCR stimulation*
P-Akt Akt ERK1/2 β-actin P-ERK1/2
Immunoblot using Ab or phospho-specific (P) Ab
Idelalisib inhibited BCR-induced AKT activation in CLL cells Idelalisib inhibited BCR-stimulated cell survival in IGHV mutated and unmutated CLL cells
CLL cell survival absolute numbers at 48 hours (%) Control BCR stimulation* Idelalisib (5μM) + BCR stimulation* 100 40 60 80 20
IGHV mutated IGHV unmutated
aStimulated with anti-IgM antibody
BCR: B-cell receptor; CLL: chronic lymphocytic leukaemia; PI3K: phosphatidylinositol-3-kinase Hoellenriegel J, et al. Blood 2011; 118:3603‒3612
Idelalisib abrogates survival signals from the tumour microenvironment
Idelalisib significantly inhibited survival of CLL cells co-cultured with NLCs * * * *
20 40 60 80 100 48 hours
CLL CLL + NLC CLL + NLC + Zydelig (0.5 µM) CLL + NLC + Zydelig (1 µM) CLL + NLC + Zydelig (5 µM) CLL + NLC + Zydelig (10 µM)
CLL cell survivala (%) +NLC
*p<0.05 Idelalisib + CLL + NCL vs CLL + NLC
a Viabilities of Idelalisib-treated
samples were normalised to values in CLL + NLC group NLC: nurse-like cells Hoellenriegel J, et al. Blood 2011; 118:3603‒3612.
Idelalisib inhibits CLL cell chemotaxis and migration
P-Akt Akt ERK1/2 β-actin P-ERK1/2
Control BCR stimulation* Idelalisib + BCR stimulation* CXCL12 Idelalisib Idelalisib + CXCL12 CXCL13 Idelalisib + CXCL13
Idelalisib decreased chemotaxis of CLL cells in response to CXCL12 and CXCL13
Control Idelalisib 2000 4000 6000 8000 10000 Control CXCL12 CXCL13
Chemotaxis (migrated cells)
No chemokine p<0.05 p<0.05
Idelalisib abrogated activation of CXCR4 and CXCR5 in CLL cells
*Stimulated with anti-IgM monoclonal antibody CXCL: C-X-C motif chemokine ligand; PI3K: phosphatidylinositol-3-kinase Hoellenriegel J, et al. Blood 2011; 118:3603‒12
2 4 6 8 1 0 1 2 1 4 1 6 1 8 2 0 2 2 2 4 2 6 2 0 4 0 6 0 8 0 1 0 0 T im e (m o n th s )
P ro g re s s io n -fre e S u rv iv a l (% )
2 4 6 8 1 0 1 2 1 4 1 6 1 8 2 0 2 2 2 4 2 6 2 0 4 0 6 0 8 0 1 0 0
T im e (m o n th s ) O ve ra ll S u rv iv a l (% )
Idelalisib + R (n=110) Placebo + R (n=110) Idelalisib + R (n=91) Placebo + R (n=93)
Sharman et al. Blood 2014 124:330 (ASH meeting abstracts).
Overall survival Progression-free survival
Salvage treatment: idelalisib ORR idelalisib+R: 77% ORR placebo+R: 15%
Highly unfavourable features: PFS <24 months after previous Tx Appropriate for non cytotoxic treatment
- ANC <1000
- Plt <50
- CrCl <60 ml/min
- CIRS >6
Updated results from Phase 3 idelalisib and ofatumumab: PFS
Robak et al., EHA 2016, #P213
Updated results from Phase 3 idelalisib and ofatumumab: OS
Robak et al., EHA 2016, #P213
Badoux Blood 2011; Fisher J Clin Oncol 2011; O’Brien, ASH 2014; Sharman ASH 2014; Byrd ASH 2015; Stilgenbauer, ASH 2015
Chemoimmunotherapy (CIT) vs novel agents in TP53 disrupted CLL
0% 20% 40% 60% 80% 100%
Response rate
0% 20% 40% 60% 80% 100%
CR PR PR-L
35% 7% 83% 78% 79%
12-months PFS
18% 22% 80% 79% 72%
Response rate PFS
CIT Novel agents CIT Novel agents
Relapsed/Refractory CLL
0.2 0.4 0.6 0.8 1.0 Proportion With PFS 6 12 18 24 30 36 42 Months del(17p) del(11q) No del(17p) or del(11q) + Censored
TP53 disruption is a prognostic biomarker in CLL treated with ibrutinib Ibrutnib in trials Venetoclax Idelalisib+R Ibrutinib in real-world practice
Byrd JC, Blood 2015; Thompson PA, Cancer 2015; Winqvist M, Haematologica 2016; Barrientos, ASCO,2015, 7011; Roberts, et al New Engl J Med 2016
Comprehensive approaches incorporating clinical, serum, genetic, and molecular markers into a single risk score: CLL-IPI
Kutsch N BJ, J Clin Oncol 2015;33(suppl). Abstract 7002; Wierda W, J Clin Oncol 2011;29:4088-4095; Pflug N, Blood 2014;124:49-62
Variable Adverse factor Coeff. HR TP53 (17p) deleted and/or mutated 1.442 4.2 Grading 4 Prognostic Score 0 – 10 IGHV status Unmutated 0.941 2.6 B2M, mg/L > 3.5 0.665 2.0 Clinical stage Binet B/C or Rai I-IV 0.499 1.6 Age > 65 years 0.555 1.7 2 1 2 1
Risk group Score Patients N (%) 5-year OS, % Very High 7 – 10 62 (5) 23.3 3.6 High 4 – 6 326 (27) 63.6 1.9 Intermediate 2 – 3 464 (39) 79.4 3.5 Low 0 – 1 340 (29) 93.2
Time (months) Overall survival
Low Intermediate High Very high
Time (months) Time to first treatment
Low Intermediate High Very high
CLL-IPI score and prognostic factor analysis in R/R CLL in patients treated with idelalisib
Soumerai et al. EHA 2016, #P214.
Lymph node
BCR
CLL
CLL
Blood
chemokines
Kinase Kinase
integrins
Kinase Inhibitor
De Rooij, Blood 2012; Ponader, Blood 2012; Herman, abstract #185 CLL CLL CLL CLL
Redistribution lymphocytosis
Ibrutinib:
- Bruising, bleeding
- Atrial fibrillation
- Hypertension
- Arthralgia
- Drug interactions
CYP3A4 inducers/inhibitors affect inrutinib levels
Toxicities of BCR inhibitors
Idelalisib:
- Transaminitis
- Diarrhea/colitis
- Pneumonitis
- Infections
- Drug interactions
Idelalisib inhibits CYP3A4
Mutations that are inert under chemotherapy may become dangerous under new agents and vice versa
FCR resitant subclone KI resistant subclone
FCR
BTK inhibitors
Switch to another BCRi
ORR = 67%
Mato et al, ASH 2015
Switch to venetoclax
Coutre et al, EHA 2016
Phase 2 study of venetoclax in R/R CLL to ibrutinib or idelalisib
Old and new agents for CLL treatment
Idelalisib Venetoclax
BCL2
BCR
PI3K BTK
Ibrutinib Acalabrutinib Fludarabine Cyclophosphamide Bendamustine Chlorambucil Obinutuzumab Rituximab Ofatumumab
Can treatment decision be informed by biomarkers?
Ibrutinib FCR/BR Clb+anti-CD20 Idelalisib+R Venetoclax Ibrutinib Chemoimmunotherapy
TP53 status IGHV status
Chemoimmunotherapy
TP53 status
Untreated Relapsed
Two patients had no post-baseline evaluation: a one patient was not evaluable and
b one patient had disease progression on the basis of lymph node biopsy, no baseline evaluation
SPD: sums of the products of the perpendicular dimensions Gopal AK, et al. ASH 2014 (Abstract 1708).
Idelalisib effectively reduced lymph node size in 89% of FL patients
56% of patients achieved lymph node response (long-term follow-up; June 2014 cut-off)
SPD of measured lymph nodes, best % change from baseline Individual FL patients (n=72) +50 –25 +25 –50 –75 –100
a b
Includes patients who achieved a complete response or partial response (or minor response for LPL/WM) according to independent review committee assessments Gopal AK, et al. ASH 2014 (Abstract 1708, poster presentation).
Disease progression delayed in a heavily pretreated iNHL population
PFS (%) Time from start of treatment (months)
Patients at risk, n 72 35 18 11 5 1 28 12 7 4 4 1 15 6 3 2 – – 10 7 5 5 3 2
Long-term follow-up Median PFS (all patients):11.0 months
100 50 75 25 6 12 24 30 18
MZL (n=15) LPL/WM (n=10) FL (n=72) SLL (n=28)
- 1. Gopal AK, et al. N Engl J Med 2014; 370:1008–1018.
- 2. Gopal AK, et al. ASH 2014 (Abstract 1708, poster presentation).
OS prolonged in a heavily pretreated iNHL population
100 50 75 25 3 15 21 18 24 6 9 12 OS (%) Time from start of treatment (months)
Updated median OS: 30.8 months2
Median OS: 20.3 months1
Mechanism of BCR inhibitors: main clinical implications
- BCR inhibitors “circumvent” the chemorefractoriness to genotoxic agents
(classical chemo)
- BCR inhibitors “circumvent” TP53 disruption
- The mechanism of BCR inhibitors is independent of acquisition of MRD
negativity
BCR
LYN
Fcγ-R
CD79A DAG
CARD11
CD79B BLNK Y Y Y Y
P P
ITAM
PKCβ SYK
BTK
PLCγ2 MALT1 BCL10
IP3
P
NF-κB
Target Genes IKBKB
IKKα IKKγ
P P CD22 P P SHP-1
TCF3 ID3
IgH IgL LYN PI3Kδ AKT
SHP-1