1
o Retinoic acid receptor–related orphan receptor g (RORg) is the master transcription factor responsible for type 17 effector T cell differentiation and function. o Synthetic RORg agonists can modulate immune cell gene expression by enhancing type 17 helper (Th17) and cytokine (Tc17) T cells, stimulating a potent antitumor response that includes increased immune activity and decreased immune suppression (Figures 1 & 2). 1 o RORg agonists have shown promise as monotherapy and combination therapy in syngeneic tumor models. LYC-55716, A Novel Small-Molecule RORg Agonist Immuno-oncology Agent: Rationale for Tumor Selection and Clinical Evaluation of Gastric and Esophageal Carcinoma in Phase 2a Expansion Garry Weems, 1 Xiao Hu, 2 Xikui Liu, 2 Hongxiu Li, 2 Madhumita Bogdan, 2 Yilin Gao, 2 Brian Fox, 3 H. Jeffrey Wilkins, 1 Laura Carter 2 1 Lycera Corp., Plymouth Meeting, PA; 2 Lycera Corp., Ann Arbor, MI; 3 Celgene Corp., Seattle, WA. o The infiltration of T cells into the tumor microenvironment is positively associated with immunotherapy efficacy. o Analysis of TCGA RNA sequencing data indicated a high expression of T cell markers such as CD3e in both EC and GC (Figure 8). o Certain sterols can function as RORg ligands and partially activate RORg, 2 but sterol levels are likely low in exhausted T cells and can be influenced by cancer cells in the tumor microenvironment. o TCGA analysis of sterol efflux gene expression (a surrogate for endogenous ligand levels) revealed differential expression across tumor types (Figure 6). o Tumor types with low sterol efflux are expected to respond better to RORg agonist therapy. o TCGA data showed that GC and EC tumors express low levels of sterol efflux genes, suggesting that the levels of endogenous agonists in the tumor microenvironment are also low (Figure 6). Figure 3. Factors considered in tumor selection Figure 6. Expression of sterol efflux genes across tumor types o Bioinformatics assessments indicate high expression of RORg, and genes that support RORg expression, in GC and EC tumors. o Analyses of RORg biology suggest that GC and EC tumors are likely to respond to RORg agonist therapy. o High intratumoral expression of RORg target gene is correlated with improved survival for patients with GC and EC. o Immunotherapy efficacy is correlated with high levels of TILs and high mutational burden, both of which occur in GC and EC. o In summary, these analyses support the inclusion of GC and EC patients in an ongoing Phase 2 clinical trial of LYC-55716 (Table 2). Figure 8. Tumor-infiltrating lymphocytes across tumor types 1. Hu X, et al. OncoImmunology. 2016;5:e1254854. 2. Hu X, et al. Nat Chem Biol. 2015;11:141-7. 3. Lv L, et al. PLoS One. 2011;6:e18219. 4. Lu L, et al. J Immunother. 2013;36:451-8. 5. Wang B, et al. Cancer Immunol Immunother. 2013;62:1575-85. 6. Lida T, et al. Oncol Rep. 2014;31:605-12. 7. Chen J, et al. Int J Biol Sci. 2011;7:53-60. 8. Lawrence MS, et al. Nature. 2013;499:214-8. 9. Alexandrov LB, et al. Nature. 2013;500:415-21. CONCLUSIONS o Analysis of TCGA RNA sequencing data showed that 50% of EC and 70% of GC samples expressed moderate to high levels of RORgt (RORC2), indicating infiltration of Type 17 T cells into the tumors (Figure 4). Figure 4. Frequency of RORgt expression across tumor types Figure 7. Correlation between patient survival and IL-17 expression in published data 3,7 o A high mutational burden within the tumor microenvironment has also been associated with immunotherapy efficacy and progression-free survival (Figure 9). 8,9 o TCGA analysis indicated a high mutational burden in both EC and GC. Figure 5. Frequency of expression of genes that support RORgt expression Figure 1. RORg agonist as a novel immuno-oncology approach Abstract #67 o Genes such as IL6, IL17A, and IL23A also support RORgt induction and the formation of type 17 cells; tumors that highly express these genes may be more responsive to RORg agonist therapy. o RORgt-supportive genes were highly expressed in ~75% of GC and EC tumors (Figure 5). o A literature review indicated a significant survival advantage for EC and GC patients who have high intratumoral IL-17 expression and high levels of IL-17–producing tumor-infiltrating lymphocytes (TILs), compared with patients with low levels of IL-17 + TILs (Figure 7, Table 1). 3-7 Figure 9. Mutational burden across tumor types TARGET BIOLOGY REFERENCES DISCLOSURE: LYC-55716 is an investigational agent not yet approved by FDA: the safety and efficacy of LYC-55716 have not been established in patients. Copies of this poster obtained through Quick Response (QR) Code are for personal use only and may not be reproduced without permission from ASCO ® and the author of this poster. CLINICAL TRIAL CONTACT: [email protected] BACKGROUND & STRATEGY NSCLC Renal HNSCC Liver GE Ovarian Urothelial Cancer Target Expression RORg expression RORgt-inducing microenvironment 25 tumor types Clinical program identified tumor types that meet at least 2 of 3 categories Immuno-oncology Proof of Concept Immunotherapy responsive tumors Tumors with immune infiltrates Mutation burden Figure 2. RORg agonist LYC-55716 decreases coinhibitory molecules and increases costimulatory molecules Table 2. Tumors selected for inclusion in Phase 2a expansion o The first-in-class, oral, small-molecule LYC-55716 is an investigational agent that selectively activates RORg. o Phase 1 clinical testing of LYC-55716 identified a pharmacodynamically active dose and demonstrated that this agent was well tolerated in cancer patients. o During Phase 1 testing, bioinformatics assessments were conducted to support the inclusion of patients with gastric carcinoma (GC) and esophageal carcinoma (EC) in a Phase 2a expansion trial (NCT02929862) (Figure 3). The Cancer Genome Atlas (TCGA), other public datasets, and literature review Expression of RORg and RORg-inducing cytokines, signature genes associated with RORg biology, surrogate biomarkers for endogenous RORg ligands Immune profiles of the tumor microenvironments Correlates to patient prognosis/survival Gastroesophageal (GE), Non–Small-Cell Lung Cancer (NSCLC), Head & Neck Squamous Cell Carcinoma (HNSCC) Table 1. Published findings of the correlation between patient survival and IL-17 expression TARGET EXPRESSION IMMUNE PROFILE -80 -40 0 40 80 120 PD1 TIGIT CD160 LAIR1 TIM3 LAG3 CD73 CD39 CD226 CD27 CD137 IL17A % Change from Control 80% Tumor Type N Findings Reference Esophageal Squamous Cell Carcinoma 181 Density of IL-17 + TILs was inversely correlated with T score EC patients with IL-17 high TILs had significant survival advantage over those with IL-17 low TILs Lv T, et al., 2011 3 IL-17A promoted immune cell recruitment in human EC and infiltrating dendritic cells High CD1a + dendritic cells were associated with improved survival Lu L, et al., 2013 4 215 Density of IL-17 + cells in muscularis propria served as independent predictor of favorable survival Levels of IL-17 + cells in muscularis propria were positively associated with CD8 + T cells and activated macrophages Wang B, et al., 2013 5 Gastric Carcinoma 79 IL-17 in peritoneal lavage correlated with improved overall survival Lida T, et al., 2014 6 192 High levels of intratumor IL-17 showed significantly better 5-year overall survival Chen J, et al., 2011 7 INDICATION Non–small-cell lung cancer Gastroesophageal cancer Head and neck squamous cell carcinoma Ovarian cancer Renal cell carcinoma Urothelial carcinoma Targets RORg nuclear receptor, the master transcription factor for Type 17 T cells 1 RORg agonists activate a transcriptional program to modulate dual immuno-oncology pathways 2 Immune system killing of tumor cells & generation of anti- tumor memory 3 RORg AGONIST DECREASES IMMUNE SUPPRESSION Decreases regulatory T cells Lowers PD-1 expression and function Decreases coinhibitory molecule expression RORg AGONIST INCREASES IMMUNE ACTIVITY Enhances expression of costimulatory receptors Increases pro-immune chemokines and cytokines Increases effector cells in tumors Prolongs survival and memory responses of anti- tumor T cells RORg activation by agonist regulates transcription of target genes Cancer cells T cells Other immune cells DNA/chromatin T cell Agonist Target gene RORg RORg Target-driven responses produce beneficial anti-tumor effects Target Biology Endogenous ligand RORg expression & prognosis RORg agonist signature & prognosis 7 tumor types

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Page 1: LYC-55716, A Novel Small-Molecule ROR Agonist …...LYC-55716, A Novel Small-Molecule RORgAgonist Immuno-oncology Agent: Rationale for Tumor Selection and Clinical Evaluation of Gastric

oRetinoic acid receptor–related orphan receptor g (RORg) is the master transcription factor responsible for type 17 effector T cell differentiation and function.

o Synthetic RORg agonists can modulate immune cell gene expression by enhancing type 17 helper (Th17) and cytokine (Tc17) T cells, stimulating a potent antitumor response that includes increased immune activity and decreased immune suppression (Figures 1 & 2).1

oRORg agonists have shown promise as monotherapy and combination therapy in syngeneic tumor models.

LYC-55716, A Novel Small-Molecule RORg Agonist Immuno-oncology Agent: Rationale for Tumor Selection and Clinical Evaluation of Gastric and Esophageal Carcinoma in Phase 2a Expansion

Garry Weems,1 Xiao Hu,2 Xikui Liu,2 Hongxiu Li,2 Madhumita Bogdan,2 Yilin Gao,2 Brian Fox,3 H. Jeffrey Wilkins,1 Laura Carter2

1Lycera Corp., Plymouth Meeting, PA; 2Lycera Corp., Ann Arbor, MI; 3Celgene Corp., Seattle, WA.

o The infiltration of T cells into the tumor microenvironment is positively associated with immunotherapy efficacy.

o Analysis of TCGA RNA sequencing data indicated a high expression of T cell markers such as CD3e in both EC and GC (Figure 8).

o Certain sterols can function as RORg ligands and partially activate RORg,2 but sterol levels are likely low in exhausted T cells and can be influenced by cancer cells in the tumor microenvironment.o TCGA analysis of sterol efflux gene expression (a surrogate for

endogenous ligand levels) revealed differential expression across tumor types (Figure 6).

o Tumor types with low sterol efflux are expected to respond better to RORg agonist therapy.o TCGA data showed that GC and EC tumors express low levels of sterol

efflux genes, suggesting that the levels of endogenous agonists in the tumor microenvironment are also low (Figure 6).

Figure 3. Factors considered in tumor selection

Figure 6. Expression of sterol efflux genes across tumor types

o Bioinformatics assessments indicate high expression of RORg, and genes that support RORg expression, in GC and EC tumors.

o Analyses of RORg biology suggest that GC and EC tumors are likely to respond to RORg agonist therapy.o High intratumoral expression of RORg target gene is correlated with

improved survival for patients with GC and EC.

o Immunotherapy efficacy is correlated with high levels of TILs and high mutational burden, both of which occur in GC and EC.

o In summary, these analyses support the inclusion of GC and EC patients in an ongoing Phase 2 clinical trial of LYC-55716 (Table 2).

Figure 8. Tumor-infiltrating lymphocytes across tumor types

1. Hu X, et al. OncoImmunology. 2016;5:e1254854.2. Hu X, et al. Nat Chem Biol. 2015;11:141-7.3. Lv L, et al. PLoS One. 2011;6:e18219.4. Lu L, et al. J Immunother. 2013;36:451-8.5. Wang B, et al. Cancer Immunol Immunother.

2013;62:1575-85.

6. Lida T, et al. Oncol Rep. 2014;31:605-12.7. Chen J, et al. Int J Biol Sci. 2011;7:53-60.8. Lawrence MS, et al. Nature. 2013;499:214-8.9. Alexandrov LB, et al. Nature. 2013;500:415-21.

CONCLUSIONS

o Analysis of TCGA RNA sequencing data showed that 50% of EC and 70% of GC samples expressed moderate to high levels of RORgt (RORC2), indicating infiltration of Type 17 T cells into the tumors (Figure 4).

Figure 4. Frequency of RORgt expression across tumor types

Figure 7. Correlation between patient survival and IL-17 expression in published data 3,7

o A high mutational burden within the tumor microenvironment has also been associated with immunotherapy efficacy and progression-free survival (Figure 9).8,9

o TCGA analysis indicated a high mutational burden in both EC and GC.

Figure 5. Frequency of expression of genes that support RORgt expression

Figure 1. RORg agonist as a novel immuno-oncology approach

Abstract #67

o Genes such as IL6, IL17A, and IL23A also support RORgt induction and the formation of type 17 cells; tumors that highly express these genes may be more responsive to RORg agonist therapy.

o RORgt-supportive genes were highly expressed in ~75% of GC and EC tumors (Figure 5).

o A literature review indicated a significant survival advantage for EC and GC patients who have high intratumoral IL-17 expression and high levels of IL-17–producing tumor-infiltrating lymphocytes (TILs), compared with patients with low levels of IL-17+ TILs (Figure 7, Table 1).3-7

Figure 9. Mutational burden across tumor types

TARGET BIOLOGY

REFERENCES

DISCLOSURE: LYC-55716 is an investigational agent not yet approved by FDA: the safety and efficacy of LYC-55716 have not been established in patients. Copies of this poster obtained through Quick Response (QR) Code are for personal use only and may not be reproduced without permission from ASCO® and the author of this poster.CLINICAL TRIAL CONTACT: [email protected]

BACKGROUND & STRATEGY

NSCLCRenal

HNSCCLiver

GEOvarian

Urothelial Cancer

Target Expression• RORg expression• RORgt-inducing microenvironment• 25 tumor types

Clinical program identified tumor types that meet at least 2 of 3 categories

Immuno-oncology Proof of Concept• Immunotherapy responsive tumors• Tumors with immune infiltrates• Mutation burden

Figure 2. RORg agonist LYC-55716 decreases coinhibitory molecules and increases costimulatory molecules

Table 2. Tumors selected for inclusion in Phase 2a expansion

o The first-in-class, oral, small-molecule LYC-55716 is an investigational agent that selectively activates RORg.

o Phase 1 clinical testing of LYC-55716 identified a pharmacodynamically active dose and demonstrated that this agent was well tolerated in cancer patients.

o During Phase 1 testing, bioinformatics assessments were conducted to support the inclusion of patients with gastric carcinoma (GC) and esophageal carcinoma (EC) in a Phase 2a expansion trial (NCT02929862) (Figure 3).

• The Cancer Genome Atlas (TCGA), other public datasets, and literature review

• Expression of RORg and RORg-inducing cytokines, signature genes associated with RORg biology, surrogate biomarkers for endogenous RORg ligands

• Immune profiles of the tumor microenvironments• Correlates to patient prognosis/survival

Gastroesophageal (GE), Non–Small-Cell Lung Cancer (NSCLC), Head & Neck Squamous Cell Carcinoma (HNSCC)

Table 1. Published findings of the correlation between patient survival and IL-17 expression

TARGET EXPRESSIONIMMUNE PROFILE

-80 -40 0 40 80 120

PD1

TIGIT

CD160

LAIR1

TIM3

LAG3

CD73

CD39

CD226

CD27

CD137

IL17A

% Change from Control

80%

Tumor Type N Findings Reference

Esop

hage

al S

quam

ous

Cel

l Car

cino

ma

181

• Density of IL-17+ TILs was inversely correlated with T score

• EC patients with IL-17high TILs had significant survival advantage over those with IL-17low TILs

Lv T, et al.,20113

• IL-17A promoted immune cell recruitment in human EC and infiltrating dendritic cells

• High CD1a+ dendritic cells were associated with improved survival

Lu L, et al., 20134

215

• Density of IL-17+ cells in muscularis propriaserved as independent predictor of favorable survival

• Levels of IL-17+ cells in muscularis propriawere positively associated with CD8+ T cells and activated macrophages

Wang B, et al., 20135

Gas

tric

Car

cino

ma

79 • IL-17 in peritoneal lavage correlated with improved overall survival

Lida T, et al.,20146

192 • High levels of intratumor IL-17 showedsignificantly better 5-year overall survival

Chen J, et al., 20117

INDICATION

Non–small-cell lung cancer

Gastroesophageal cancer

Head and neck squamous cell carcinoma

Ovarian cancer

Renal cell carcinoma

Urothelial carcinoma

Targets RORg nuclear receptor, the master

transcription factor for Type 17 T cells

1

RORg agonists activate a transcriptional program

to modulate dual immuno-oncology

pathways

2

Immune system killing of tumor cells & generation of anti-

tumor memory

3

RORg AGONISTDECREASES IMMUNESUPPRESSION

• Decreases regulatory T cells• Lowers PD-1 expression and function• Decreases coinhibitory molecule expression

RORg AGONISTINCREASES IMMUNEACTIVITY

• Enhances expression of costimulatory receptors• Increases pro-immune chemokines and cytokines• Increases effector cells in tumors• Prolongs survival and memory responses of anti-

tumor T cells

RORg activationbyagonistregulatestranscriptionoftargetgenes

Cancercells

TcellsOtherimmunecells

DNA/chromatin

TcellAgonist

Targetgene

RORg

RORg

Target-drivenresponsesproducebeneficialanti-tumoreffects

Target Biology• Endogenous ligand RORg

expression & prognosis• RORg agonist signature &

prognosis• 7 tumor types