Abstract 1816: Phenogenomic characterization of immunomodulatory purinergic signaling in glioblastoma

INTRODUCTION: Extracellular purinergic signaling plays critical roles in the regulation of tumor growth and anti-tumor immunity via autocrine/paracrine binding of metabolites to receptors on neoplastic and non-neoplastic populations. Extracellular purine concentrations are principally mediated by the ectonucleotidase enzymes CD39 and CD73, which catabolize ATP to adenosine. Within the tumor microenvironment, neoplastic, immune, and stromal cells expressing these enzymes may co-localize to generate an immunosuppressive adenosine-rich niche. However, the cellular composition, spatial architecture and phenotypic properties of these tumor ecosystems and their relationship to tumor genotype have been poorly characterized.

METHODS: We quantified CD73 expression by immunohistochemistry (IHC) in a cohort of CNS tumors [meningiomas(N=222), gliomas(N=244), ependymomas(N=44), medulloblastomas(N=24), craniopharyngiomas(N=38)]. We used publicly-available single-cell RNA-seq data and 36 marker multiplexed tissue imaging (t-CyCIF) of 139 clinically and genomically annotated glioblastomas to characterize CD39 and CD73 expressing populations, define immune architecture and tumor cell states at single cell resolution, evaluate spatial correlations, and identify markers of clinical outcome. Mass spectrometry imaging (MALDI-MSI) was employed to generate spatially-resolved quantification of purine metabolite levels in glioblastoma resections (N=9).

RESULTS: IHC revealed strong CD73 expression in meningiomas and gliomas. Tumor CD73 expression was associated with poor progression-free-survival in IDH-wildtype glioblastoma (p=0.04). scRNA-seq in glioblastoma revealed that CD73 is predominantly expressed by tumor cell populations, while CD39 is predominantly expressed by monocytic (macrophage, microglial) populations. t-CyCIF showed enrichment of EGFR, Ki-67, and TP53 expression in CD73-high tumor cells at a single cell level independent of genotype, as well as significant spatial correlation between CD73 expression in tumor cells and CD39 expression in macrophages. MALDI-MSI showed significantly greater adenosine concentrations in glioblastomas with high CD73 expression. CD73 expression significantly correlated with EGFR amplification or C-terminal deletion (EGFRvIII or variants), type-II interferon signaling, and PD-L1 expression in glioblastoma.

CONCLUSIONS: Phenogenomic analysis of purinergic signaling in glioblastoma revealed correlations between CD73 expression and genotype, adenosine concentration, and clinical outcome. Spatial analysis revealed interaction between macrophages CD39 expression and tumor cell CD73 expression, suggesting that these populations may interact to suppress anti-tumor immunity. Anti-CD73 therapy may provide therapeutic benefits in glioblastoma by blunting immunosuppressive and oncogenic adenosine signaling.

Citation Format: Shannon Coy, Jia-Ren Lin, Shu Wang, Sylwia Stopka, Rumana Rashid, Jaeho Hwang, Prasidda Khadka, Philipp Euskirchen, Pratiti Bandopadhayay, Patrick Y. Wen, Peter K. Sorger, Nathalie Agar, Keith L. Ligon, Mehdi Touat, Sandro Santagata. Phenogenomic characterization of immunomodulatory purinergic signaling in glioblastoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 1816.

Abstract 482: Rapid highly multiplexed immunoprofiling of human fixed tissues by Orion imaging

The dramatic impact of immune checkpoint inhibitors (ICIs) has focused interest in investigating immune-tumor cell interactions to understand mechanisms of ICI sensitivity and resistance, to identify patients that are responsive to specific treatments, and to develop new therapies. Multiplexed tissue imaging is a highly promising approach to immunoprofile tumors; it can assess many cell types and states within the context of preserved tumor architecture. However, the promise of highly multiplexed tissue imaging remains largely unfulfilled by current methods which are not compatible with pathology workflows. Here we present the development and implementation of Orion™ technology that permits whole-slide rapid single-pass imaging of up to 21 markers from formalin fixed paraffin embedded (FFPE) tissues. This method measures spectra for specific fluorophores to optimally sample the emitted light spectrum and distinguish multiple fluorescence excitation and emission channels across the spectral range of optical microscopes (~400-900 nm). To establish the utility of the Orion™ platform for immuno-phenotyping and immune checkpoint protein detection, we created an immunoprofiling panel of 21 qualified antibodies and labelled with fluorophores to subdivide the available emission spectrum in the 438-893 nm range. The panel includes markers that define subsets of T cells and macrophages. FFPE sections of human tonsil and matched primary and brain metastatic lung adenocarcinoma were stained and imaged in a single pass demonstrating staining patterns consistent with known micro-anatomic compartments and cell types in tonsil and identifying immune cell subtypes and heterogeneous checkpoint protein expression in tumor samples. An unexpected benefit of imaging with the Orion platform is the reduction of autofluorescence which is highly advantageous for the detection of proteins, like PD-L1, that function at very low levels. Orion imaging promises to accelerate discovery of predictive and prognostic biomarkers, enable pharmacodynamics study of immuno-oncology drugs undergoing clinical trials and ultimately provide clinically actionable diagnostic tests.

Citation Format: Jia-Ren Lin, Daniel E. Campton, Jeremy Cooper, Yu-An Chen, Erin F. McCarty, Keith L. Ligon, Eric P. Kaldjian, Kyla Teplitz, Steve Reese, Sandro Santagata, Peter K. Sorger. Rapid highly multiplexed immunoprofiling of human fixed tissues by Orion imaging [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 482.

Abstract 4: Temporal and spatial topography of cell proliferation in cancer

Uncontrolled cell proliferation is a defining feature of malignancy. Current understanding of proliferation, particularly in humans, derives primarily from studying cells growing rapidly in the non-physiological conditions of cell culture. However, tumors are exceedingly complex admixtures of different cell types and subclonal malignant populations comprising proliferative, non-proliferative, and arrested states that are influenced by physical, metabolic, and molecular conditions. Images of single or small sets of protein markers from fixed tissue samples only provide limited and static views into the nature of these complex states. Here we identify proliferation states and develop a quantitative framework to extract cell cycle dynamics from multiplexed, spatially-resolved tissue images of millions of tumor cells from human cancers and genetically engineered tumors in mice. Across spatial scales, tumors display intrinsic regional variability in proliferation patterns and in the coherence of cell cycle markers in high-dimensional space. Cell cycle dynamics and cell cycle coherence are not solely a function of tumor growth and oncogene expression and rapidly adapt following genetic and therapeutic perturbations. Replacing binary metrics with multivariate traits provides a quantitative framework for extracting multidimensional dynamic information from static images that is broadly applicable to the study of temporal processes within the native architecture of human disease tissues.

Citation Format: Giorgio Gaglia, Sheheryar Kabraji, Danae Argyropoulou, Yang Dai, Johann Bergholz, Shannon Coy, Jia-Ren Lin, Eric P. Winer, Deborah Dillon, Jean J. Zhao, Peter K. Sorger, Sandro Santagata. Temporal and spatial topography of cell proliferation in cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 4.

Abstract 122: Highly multiplexed, spatially-resolved tissue imaging of genetically engineered mouse models of cancer to discover and characterize immune regulators of tumorigenesis

Despite the encouraging success of immunotherapy for certain malignancies, most patients with solid tumors do not yet benefit from such therapies. It is therefore critical that we identify factors dictating responsiveness to immunotherapy by more completely characterizing tumor-immune interactions. Even though immunotherapies are used in humans, in-depth analysis of murine models is essential for a mechanistic understanding of the crosstalk among tumor, immune, and stromal components of the tumor microenvironment (TME): only animal models have the necessary manipulability and reproducibility for causal, mechanistic studies. However, murine modelling must be combined with spatially resolved analytical methods such as highly multiplexed tissue imaging that enable accurate characterization of the TME at a single-cell level. Here we use tissue cyclic immunofluorescence (t-CyCIF) multiplexed imaging to characterize the immune microenvironment of a mouse lung adenocarcinoma model initiated via lentiviral delivery of Cre recombinase into the lungs of KrasLSL-G12D/+;p53fl/fl (KP) mice. Using this new platform, we identify tumor cells and immune cell types (dendritic cells, NK cells, macrophages, B cells, helper T cells, regulator T cells and cytotoxic T cells). We characterize the effects of expressing tumor antigen (i.e., LucOS), of CRISPRa based upregulation of the chemokines (e.g., CXCL10), and of combination immune check point inhibitor treatments (e.g., one-week treatment with anti-PD-1 and anti-CTLA-4 (PC)). Remarkably the total immune composition of the mouse lungs remains relatively unchanged following these perturbations, but there are marked changes in the immune cell localization in tumor nodules, in the number and size of immune cell networks and in the functional activation states of cytotoxic T cells. For example, one week of PC treatment did not affect tumor burden and did not change the extent of immune cell infiltration however, it did drastically change cytotoxic T cell phenotypes with increased effector phenotypes (i.e., GzmB and Perforin expression and proliferation) and decreased exhaustion-like phenotypes (i.e., PD-1 and Tim-3 expression). Lymphocyte networks decreased in number but were closer to tumors. Using high-dimensional protein expression data to characterize GEMM models following in situ genetic or therapeutic perturbation is a powerful new platform to investigate tumor-immune interactions.

Citation Format: Giorgio Gaglia, Megan Burger, Claire Ritch, Danae Argyropoulou, Yang Dai, Shannon Coy, Jia-Ren Lin, Peter Sorger, Tyler Jacks, Sandro Santagata. Highly multiplexed, spatially-resolved tissue imaging of genetically engineered mouse models of cancer to discover and characterize immune regulators of tumorigenesis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 122.

Alliance A071601: Phase II trial of BRAF/MEK inhibition in newly diagnosed papillary craniopharyngiomas

2000

Background: Craniopharyngiomas, a rare brain tumor along the pituitary-hypothalamic axis, can cause significant clinical sequelae. Surgery and radiation, the only effective treatments, can cause significant morbidity. Genetic analysis of craniopharyngiomas revealed that 95% of papillary craniopharyngiomas (PCP) have BRAF V600E mutations (Brastianos et al. Nature Genetics 2014). We evaluated the efficacy of BRAF/MEK inhibition in patients (pts) with previously untreated PCP. Methods: Eligible pts without prior radiation whose PCP screened positively for BRAF mutations were treated with oral vemurafenib/cobimetinib in 28-day cycles. The primary endpoint of response rate (RR) based on centrally determined volumetric data was evaluated in 16 pts, where a partial response was defined as >20% decrease in volume. This single arm, Simon two-stage phase 2 trial had 89% power to detect a true RR of at least 30% (vs. the null RR 5%; alpha=0.04). In this design, 3 or more observed volumetric responses in 16 evaluable pts would be considered promising activity. Results: In the 16 pts evaluated, 56% were female, and the median age was 49.5 years. Median follow-up was 22 months (95% CI: 16-26.5) and median number of treatment cycles was 8. Three patients progressed after therapy was discontinued and none have died. Based on volumetric response criteria, 14 of 15 pts with volumetric data available for central review had response to therapy (93%; 95% CI: 68% to 99.8%). Of 16 patients evaluable based on local review, 15 had response to therapy (93.75%; 95% CI: 70% to 99.8%). The median tumor reduction was -83% (range: -52% to -99%). The one nonresponder received 2 days of treatment before coming off therapy due to toxicity. Median progression-free survival was not reached. Grade 3 toxicities at least possibly related to treatment occurred in 12 pts (rash in 6 pts). Grade 4 toxicities were observed in two pts: hyperglycemia (n=1) and increased CPK (n=1). Three pts discontinued treatment for adverse events. Conclusions: Vemurafenib/cobimetinib resulted in an objective response in all pts who received 1 or more cycles of therapy. Our study indicates that BRAF/MEK inhibitors could be a powerful tool in the treatment of previously untreated PCP and warrants further evaluation in larger studies. A second arm of this study is enrolling pts with progressive PCP after prior radiotherapy. Support: U10CA180821, U10CA180882; U24CA196171, U10CA180868 (NRG); Genentech; https://acknowledgments.alliancefound.org. Clinical trial information: NCT03224767.

Activity of PD-1 blockade with Nivolumab among patients with recurrent atypical/anaplastic meningioma: Phase II trial results

BACKGROUND

Programmed death-1 ligand (PD-L1) contributes to tumor immunosuppression and is upregulated in aggressive meningiomas. We performed a phase II study of nivolumab, a programmed death-1 (PD-1) blocking antibody among patients with grade ≥2 meningioma that recurred after surgery and radiation therapy.

METHODS

Twenty-five patients received nivolumab (240 mg biweekly) until progression, voluntary withdrawal, unacceptable toxicity, or death. Tumor mutational burden (TMB) and quantification of tumor infiltrating lymphocytes (TIL) were evaluated as potential immunocorrelative biomarkers. Change in neurologic function was prospectively assessed using the Neurologic Assessment in Neuro-Oncology (NANO) scale.

RESULTS

Enrolled patients had multiple recurrences including ≥3 prior surgeries and ≥2 prior courses of radiation in 60% and 72%, respectively. Nivolumab was well tolerated with no unexpected AEs. PFS-6 was 42.4% (95% CI: 22.8, 60.7) and the median OS was 30.9 months (95% CI: 17.6, NA). One patient achieved radiographic response (ongoing at 4.5 years). TMB was > 10/Mb in 2 of 15 profiled tumors (13.3%). Baseline TIL density was low but increased post-treatment in 3 patients including both patients with elevated TMB. Most patients who achieved PFS-6 maintained neurologic function prior to progression as assessed by NANO.

CONCLUSION

Nivolumab was well tolerated but failed to improve PFS-6, although a subset of patients appeared to derive benefit. Low levels of TMB and TIL density were typically observed. NANO assessment of neurologic function contributed to outcome assessment. Future studies may consider rationally designed combinatorial regimens.

Temporal and spatial topography of cell proliferation in cancer

3122

Background: Tumors are complex ecosystems where exogenous and endogenous cues are integrated to either stimulate or inhibit cancer cell proliferation. However, the nature of these complex cell cycle states, their spatial organization, response to perturbation, and implications for clinical outcomes, are poorly characterized in tumor tissues. Methods: We used multiplexed tissue imaging to develop a robust classifier of proliferation, the multivariate proliferation index (MPI), using 513 unique tumors across five cancer types. Next, we used dimensionality reduction analysis to assess how the patterns of cell cycle protein expression in tumors were altered in response to perturbation. Results: The MPI outperforms single markers, like Ki67, when classifying proliferative index across diverse tumor types and reveals the proliferative architecture of tumors in situ. We find that proliferative and non-proliferative cancer cells are organized across microscopic (cell-to-cell) and macroscopic (tissue-level) scales. Both domains are reshaped by therapy, and local clusters of proliferative and non-proliferative tumor cells preferentially neighbor distinct tumor-infiltrating immune cells. We further phenotyped non-proliferating cancer cells using markers of quiescent cancer cells, cancer stem cells, and dormant cancer cells. We found that these types of non-proliferating cancer cells can occupy distinct regions within the same primary tumor. In high-dimensional marker space, populations of proliferative cancer cells express canonical patterns of cell cycle protein markers, a property we refer to as “cell cycle coherence”. Untreated tumors exist in a continuum of coherence states, ranging from optimal coherence, akin to freely cycling cells in culture, to reduced coherence characterized by either cell cycle polarization or non-canonical marker expression. Coherence can be stereotypically altered by induction and abrogation of mitogen signaling in a HER2-driven model of breast cancer. Cell cycle coherence is modulated by neoadjuvant therapy in patients with localized breast cancer, and coherence is associated with disease-free survival after adjuvant therapy in patients with colorectal cancer, mesothelioma and glioblastoma. Conclusions: The MPI robustly defines proliferating and non-proliferating cells in tissues, with immediate implications for clinical practice and research. The coherence metrics capture the diversity of post-treatment cell cycle states directly in clinical samples, a fundamental step in advancing precision medicine. More broadly, replacing binary metrics with multivariate traits provides a quantitative framework to study temporal processes from fixed static images and to investigate the rich spatial biology of human cancers.

Palbociclib demonstrates intracranial activity in progressive brain metastases harboring cyclin-dependent kinase pathway alterations

Recent studies suggest that the cyclin-dependent kinase (CDK) pathway may be a therapeutic target for brain metastases (BM). Here, we present interim analysis of a basket trial evaluating the intracranial efficacy of the CDK inhibitor palbociclib in patients with progressive BM and CDK alterations. Our study met its primary endpoint and provides evidence for performing molecular testing of archival BM tissue, if available, to inform the choice of CNS-penetrant targeted therapy.

Abstract PS18-02: Highly multiplexed tissue-based cyclic immunofluorescence (t-CyCIF) for precision oncology identifies novel patterns of HER2 heterogeneity in breast cancer

Background

Immunohistochemical (IHC) evaluation has shown that human epidermal growth factor receptor 2 (HER2) may not be expressed homogeneously among all cancer cells within a given tumor. The clinical significance of intratumoral HER2 heterogeneity is unclear. Exploration of tumor heterogeneity is facilitated by tissue imaging technologies such as t-CyCIF, a highly multiplexed immunofluorescence microscopy technique that permits visualization of up to 60 antigens and analysis on a single cell level from formalin-fixed, paraffin-embedded tissue. To utilize t-CyCIF for the evaluation of breast tumors, this study was undertaken to: 1) validate antibodies to be used against the clinically relevant markers HER2, estrogen receptor (ER) and progesterone receptor (PR), and 2) use these antibodies along with other validated antibodies to define the tumor microenvironment (TME) to interrogate breast tumors at a single cell level.

Methods

T-CyCIF is an iterative whole-slide imaging process, in which successive four-channel images, each involving different antibodies, are collected from the same sample and then merged to generate a high-dimensional representation used for visualization and analysis. In phase one of this study, 948 tissue cores (representing 295 patients in triplicate) were used to validate HER2, ER, and PR antibodies against a single antibody commonly used in clinical practice as a reference. Analyses were performed at the level of tissue cores, cells and pixels. Inter-assay analyses were performed comparing: t-CyCIF vs. IHC, the latter assessed by digital pathology and two pathologists; and also, t-CyCIF vs. fluorescence in situ hybridization (FISH) for HER2. In the second phase, following selection of validated HER2, ER and PR antibodies, expression of CD45, CD68, PD-L1, p53, Ki67, pRB and the androgen receptor (AR) were evaluated at a single cell level in 312 HER2+ invasive breast cancer samples, representing 104 patients, to better understand the TME, cancer cell heterogeneity and the cell identities/states present in breast carcinomas.

Results

In the first phase of the study, 13 different ER, PR or HER2 antibodies were analyzed. The pixel-to-pixel evaluation, which evaluates concordance in staining, resulted in r scores of 0.86 (ER; Pearson correlation), 0.93 (PR) and 0.94 (HER2) and correlation scores in single-cell comparisons ranged from 0.76 to 0.81. Correlation scores on the tissue core level were high in the inter-assay analyses, i.e. t-CyCIF vs. IHC (e.g. r scores up to 0.87 and 0.91 for ER and HER2, respectively, on t-CyCIF vs. Aperio; and 0.85 to 0.94 by pathology review) and t-CyCIF vs. HER2 FISH (r scores up to 0.71). This resulted in validated fluorophore-conjugated antibody panels for use in t-CyCIF that correspond well to established standards. In the second phase, single cell analysis of HER2+ breast cancer was performed. Cancer cells were defined as keratin positive and using t-Distributed Stochastic Neighbor Embedding (t-SNE) seven cancer cell clusters were identified including two HER2hi clusters differing in ER, p53, AR and PD-L1 expression, two HER2lo clusters differing in PR, Ki67, pRB, p53 and AR and three HER2neg clusters differing in PR, Ki67, ER, PD-L1 and AR. Heterogeneity scores were calculated based on diversity among clusters.

Conclusion

This study is the first to evaluate the performance of breast cancer-specific antibodies in a highly multiplexed imaging platform such as t-CyCIF. Using the validated antibody panel, we uncovered patterns of expression of markers relevant to breast cancer biology that correlate with HER2 high, low and negative states. Ongoing studies are looking at correlations between HER2 heterogeneity, responses to therapy and clinical outcomes.

Citation Format: Jennifer L Guerriero, Jia-Ren Lin, Ricardo G Pastorello, Ziming Du, Shaolin Mei, Krishan Taneja, Stuart J Schnitt, Deborah A Dillon, Peter K Sorger, Sandro Santagata, Elizabeth A Mittendorf. Highly multiplexed tissue-based cyclic immunofluorescence (t-CyCIF) for precision oncology identifies novel patterns of HER2 heterogeneity in breast cancer [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS18-02.

Identification and Therapeutic Targeting of GPR20, Selectively Expressed in Gastrointestinal Stromal Tumors, with DS-6157a, a First-in-Class Antibody-Drug Conjugate

Currently, the only approved treatments for gastrointestinal stromal tumor (GIST) are tyrosine kinase inhibitors (TKI), which eventually lead to the development of secondary resistance mutations in KIT or PDGFRA and disease progression. Herein, we identified G protein-coupled receptor 20 (GPR20) as a novel non-tyrosine kinase target in GIST, developed new GPR20 IHC, and assessed GPR20 expression in cell lines, patient-derived xenografts, and clinical samples from two institutes (United States and Japan). We studied GPR20 expression stratified by treatment line, KIT expression, GIST molecular subtype, and primary tumor location. We produced DS-6157a, an anti-GPR20 antibody-drug conjugate with a novel tetrapeptide-based linker and DNA topoisomerase I inhibitor exatecan derivative (DXd). DS-6157a exhibited GPR20 expression-dependent antitumor activity in GIST xenograft models including a GIST model resistant to imatinib, sunitinib, and regorafenib. Preclinical pharmacokinetics and safety profile of DS-6157a support its clinical development as a potential novel GIST therapy in patients who are refractory or have resistance or intolerance to approved TKIs. SIGNIFICANCE: GPR20 is selectively expressed in GIST across all treatment lines, regardless of KIT/PDGFRA genotypes. We generated DS-6157a, a DXd-based antibody-drug conjugate that exhibited antitumor activity in GIST models by a different mode of action than currently approved TKIs, showing favorable pharmacokinetics and safety profiles.This article is highlighted in the In This Issue feature, p. 1307.

HAND1 and BARX1 Act as Transcriptional and Anatomic Determinants of Malignancy in Gastrointestinal Stromal Tumor

PURPOSE

Gastrointestinal stromal tumor (GIST) arises from interstitial cells of Cajal (ICC) or their precursors, which are present throughout the gastrointestinal tract. Although gastric GIST is commonly indolent and small intestine GIST more aggressive, a molecular understanding of disease behavior would inform therapy decisions in GIST. Although a core transcription factor (TF) network is conserved across GIST, accessory TFs HAND1 and BARX1 are expressed in a disease state-specific pattern. Here, we characterize two divergent transcriptional programs maintained by HAND1 and BARX1, and evaluate their association with clinical outcomes.

EXPERIMENTAL DESIGN

We evaluated RNA sequencing and TF chromatin immunoprecipitation with sequencing in GIST samples and cultured cells for transcriptional programs associated with HAND1 and BARX1. Multiplexed tissue-based cyclic immunofluorescence and IHC evaluated tissue- and cell-level expression of TFs and their association with clinical factors.

RESULTS

We show that HAND1 is expressed in aggressive GIST, modulating KIT and core TF expression and supporting proliferative cellular programs. In contrast, BARX1 is expressed in indolent and micro-GISTs. HAND1 and BARX1 expression were superior predictors of relapse-free survival, as compared with standard risk stratification, and they predict progression-free survival on imatinib. Reflecting the developmental origins of accessory TF programs, HAND1 was expressed solely in small intestine ICCs, whereas BARX1 expression was restricted to gastric ICCs.

CONCLUSIONS

Our results define anatomic and transcriptional determinants of GIST and molecular origins of clinical phenotypes. Assessment of HAND1 and BARX1 expression in GIST may provide prognostic information and improve clinical decisions on the administration of adjuvant therapy.

Targeting immunosuppressive macrophages overcomes PARP inhibitor resistance in BRCA1-associated triple-negative breast cancer

Despite objective responses to PARP inhibition and improvements in progression-free survival compared to standard chemotherapy in patients with BRCA-associated triple-negative breast cancer (TNBC), benefits are transitory. Using high dimensional single-cell profiling of human TNBC, here we demonstrate that macrophages are the predominant infiltrating immune cell type in BRCA-associated TNBC. Through multi-omics profiling we show that PARP inhibitors enhance both anti- and pro-tumor features of macrophages through glucose and lipid metabolic reprogramming driven by the sterol regulatory element-binding protein 1 (SREBP-1) pathway. Combined PARP inhibitor therapy with CSF-1R blocking antibodies significantly enhanced innate and adaptive anti-tumor immunity and extends survival in BRCA-deficient tumors in vivo and is mediated by CD8+ T-cells. Collectively, our results uncover macrophage-mediated immune suppression as a liability of PARP inhibitor treatment and demonstrate combined PARP inhibition and macrophage targeting therapy induces a durable reprogramming of the tumor microenvironment, thus constituting a promising therapeutic strategy for TNBC.

RARE-07. THE LANDSCAPE OF GENOMIC ALTERATIONS IN ADAMANTINOMATOUS CRANIOPHARYNGIOMAS

INTRODUCTION

Adamantinomatous craniopharyngiomas (ACPs) are characterized by activating mutations in the CTNNB1 gene. Here we perform a comprehensive genomic analysis of 23 ACPs to define the landscape of genomic alterations in this disease.

METHODS

We performed whole-genome sequencing of 24 ACPs and their matched normal tissues. We used Mutect 2.0 to detect mutations and indels in these samples and MutSig2CV to identify significant mutations. Copy numbers were called using the GATK4 pipeline and GISTIC 2.0 was applied to identify significant alterations. Finally, SvABA was applied to identify genome-wide structural variants and rearrangements.

RESULTS

18/24 (75%) of the sequenced ACPs harbored activating mutations in exon 3 of CTNNB1 gene with an average variant allele fraction (VAF) of 0.4±0.1. These mutations have previously been shown to activate the WNT signaling pathway in these tumors. No other significantly recurrent mutations were detected in our samples. The ACPs were quiet with regard to copy number alterations and no recurrent amplifications or deletions were detected. 528 structural variations and rearrangements were detected in total in all 24 samples with an average of 22 variants per sample. Gene-Set Enrichment Analysis (GSEA) of the RNAseq data revealed upregulation of WNT/B-catenin (FDR q-value <0.25) in the CTNNB1 mutant samples compared to CTNNB1 WT samples.

CONCLUSION

Our study identified previously described activating CTNNB1 mutations in the majority of ACPs. In addition, we identified several rearrangements and structural variations in these tumors that could play an important role in the pathogenesis of the disease.

TAMI-45. PHENOGENOMIC CHARACTERIZATION OF IMMUNOMODULATORY PURINERGIC SIGNALING IN GLIOBLASTOMA

INTRODUCTION

Purinergic signaling plays critical roles in the regulation of tumor growth and anti-tumor immunity via autocrine/paracrine binding of metabolites to receptors on neoplastic and non-neoplastic populations. Extracellular purine concentrations are mediated by the ectonucleotidase enzymes CD39 and CD73, which catabolize ATP to adenosine. Within tumors such as glioblastoma, neoplastic, immune, and stromal cells expressing these enzymes may co-localize to generate immunosuppressive adenosine-rich environments. However, the composition, architecture, and phenotypic properties of these tumor ecosystems and their relationship to tumor genotype are poorly characterized.

METHODS

We quantified CD73 expression by immunohistochemistry in a cohort of CNS tumors [meningiomas(n=222), gliomas(n=244), ependymomas(n=44), medulloblastomas(n=24), and craniopharyngiomas(n=38)]. We used publicly-available single-cell RNA-seq data and 36-marker multiplexed tissue imaging (t-CyCIF) of 139 clinically and genomically annotated glioblastoma resections to characterize CD39 and CD73-expressing populations, define the immune architecture and tumor cell-states at single cell resolution, and identify markers of clinical outcome. We used mass spectrometry imaging (MALDI-MSI) to generate spatially-resolved quantification of purine metabolite levels in glioblastoma resections (n=10).

RESULTS

CD73 exhibited strong expression in a subset of gliomas and meningiomas but was typically not expressed in ependymomas or medulloblastomas. CD73 expression correlated with poor progression-free-survival in IDH-wildtype glioblastoma (p=0.04). scRNA-seq and t-CyCIF in glioblastoma showed CD73 expression in tumor cells, and CD39 expression in macrophages and endothelial cells. MALDI-MSI showed significantly greater adenosine concentrations (3.5-fold;p=0.04) in glioblastomas with high CD73 expression. scRNA-seq showed direct correlations between stem-like mRNA expression, proliferation, and CD73 expression in DIPG. CD73 expression significantly correlated with EGFR amplification, interferon signaling, and PD-L1 expression in glioblastoma.

CONCLUSIONS

Phenogenomic analysis of purinergic immunomodulatory signaling revealed significant interplay between CD73 activity and genotype, adenosine concentration, differentiation-state, clinical outcome, and possible interaction between CD39-positive macrophages and CD73-positive neoplastic cells. Anti-CD73 therapy may provide therapeutic benefits in glioblastoma by blunting immunosuppressive and oncogenic adenosine signaling.

PATH-35. A SCALABLE MOLECULARLY INTEGRATED CLASSIFIER FOR MENINGIOMA OUTPERFORMS WHO CLASSIFICATION

The clinical behavior of meningiomas often belies their histopathologic grade. Increasing data suggest that molecular features augment classic World Health Organization (WHO) classification in predicting recurrent risk. We investigated the influence of histopathology, chromosome copy number, and treatment on meningioma outcome to construct a simple, scalable, molecularly integrated classifier. METHODS: We analyzed 684 meningiomas with genome-wide chromosomal copy-number profiling for clinical features, pre-/post-operative tumor volume, histopathology, and recurrence. We devised a point-based molecularly-integrated classification system (IC 1-3), incorporating mitotic count and nine common molecular alterations consistently associated with risk of recurrence across four independent statistical tests. We used brier curves, time-dependent area-under-the-curve, and average precision to assess model performance. We added treatment variables, including primary or recurrent status, tumor size, and extent of resection, to the Integrated class to formulate a nomogram of recurrence risk at 5 years. RESULTS: The Integrated Class significantly associated with recurrence in a multivariate model (IC Class 2 vs 1: HR 3.60, 95% CI 2.19-5.91; Class 3 vs 1: HR 5.15, 95% CI 3.28-8.09) and outperformed WHO grade in predicting recurrence (by integrated brier score, 0.093 vs 0.178, internally and independently validated). WHO Grade I and IC-1 exhibited 86% concordance, 31.5% between Grade II and IC-2, and 64% between Grade III and IC-3. WHO grade I meningiomas with IC 2-3 fared significantly worse than WHO grade II-III meningiomas with IC-1 designation. Each additional molecular feature incrementally strengthens the classifier, allowing for application of single-arm FISH or combinatorial genome-wide signatures based on available resources. Intriguingly, receipt of adjuvant radiation in newly diagnosed WHO Grade II-III or IC 2-3 meningiomas was associated with greater propensity for recurrence, after controlling for extent of resection. CONCLUSION: We present a scalable, molecularly-integrated classification for meningioma that better predicts recurrence compared to classic histopathologic grades to aid in clinical management.

TMOD-03. PAN-CANCER ANALYSIS OF ORTHOTOPIC PATIENT DERIVED XENOGRAFTS FROM BRAIN METASTASES

Brain metastases (BM) are a leading cause of cancer death and prognosis remains poor despite treatment advances at other sites. Models are central to therapeutic development, but few orthotopic patient-derived xenograft (PDX) models of BM exist. To represent diversity across BM types, we established a program to create orthotopic PDX at scale from all BM patients. To date BM were received from 100 patients and PDX attempted by direct brain injection (PDX, n=89) or injection of low passage patient-derived cell lines (PDCLX, n=11). We created 65 successful BM PDX from 13 cancers: 17 lung (55% take), 15 breast (68%), 6 melanoma (75%), 5 CNS lymphoma (83%), 3 gastrointestinal (75%), 2 esophageal (40%), 2 ovarian (67%), 1 sarcoma (100%), 1 laryngeal (100%), 1 prostate (100%), 1 pancreatic (100%), 1 uterine adenosarcoma (100%), and 1 yolk sac tumor (100%). Take rate was similar for models derived from patients with prior chemotherapy-only versus immune/targeted therapy-only (63 vs 58%). Fifteen patients had live tumor and matching PBMCs archived for modeling in vitro immunotherapy responses. Mean time to moribund among different cancer types ranged from 27 days (yolk sac tumor) to 177.5 days (ovarian). BM PDX had a favorable timeline for preclinical study (90% moribund at 180 days). All PDX retained high fidelity to the patient driver SNVs and copy aberrations, even at >P4. No significant differences noted by immunodeficient strain (SCID versus NSG) or injection site (orthotopic versus heterotopic). Explants from BM PDX were able to generate long-term cell lines (60%) or short-term cultures with qualitative concordance of model-to-patient responses to targeted therapy (Osimertinib, EGFRi) and immunotherapy (Pembrolizumab, PD1i). Genomic and clinical data were used to create the DFCI BM PDX cBioPortal for public release and models distribution will be available through the DFCI Center for Patient Derived Models.

PATH-03. CLINICAL UTILITY OF NEXT GENERATION SEQUENCING IN IDH-WILDTYPE GLIOBLASTOMA: THE DANA-FARBER CANCER INSTITUTE EXPERIENCE

BACKGROUND

Comprehensive next generation sequencing (NGS) is available through many academic institutions and commercial entities, and is incorporated in practice guidelines for glioblastoma (GBM). We retrospective evaluated the practice patterns and utility of incorporating NGS data into routine care of GBM patients at a clinical trials-focused academic center.

METHODS

We identified 1,011 consecutive adult patients with histologically confirmed GBM with OncoPanel testing, a targeted exome NGS platform of 447 cancer-associated genes at Dana Farber Cancer Institute (DFCI), from 2013-2019. We selected and retrospectively reviewed clinical records of all IDH-wildtype GBM patients treated at DFCI.

RESULTS

We identified 557 GBM IDH-wildtype patients, of which 227 were male (40.7%). OncoPanel testing revealed 833 single nucleotide variants and indels in 44 therapeutically relevant genes (Tier 1 or 2 mutations) including PIK3CA (n=51), BRAF (n=9), FGFR1 (n=8), MSH2 (n=4), MSH6 (n=2) and MLH1 (n=1). Copy number analysis revealed 509 alterations in 18 therapeutically relevant genes including EGFR amplification (n= 186), PDGFRA amplification (N=39) and CDKN2A/2B homozygous loss (N=223). Median overall survival was 17.5 months for the whole cohort. Seventy-four therapeutic clinical trials accrued 144 patients in the upfront setting (25.9%) and 203 patients (36.4%) at recurrence. Altogether, NGS data for 107 patients (19.2%) were utilized for clinical trial enrollment or targeted therapy indications. High mutational burden (>17mutations/Mb) was identified in 11/464 samples (2.4%); of whom 3/11 received immune checkpoint blockade. Four patients received compassionate use therapy targeting EGFRvIII (rindopepimut, n=2), CKD4/6 (abemaciclib, n=1) and BRAFV600E (dabrafenib/trametinib, n=1).

CONCLUSION

While NGS has greatly improved diagnosis and molecular classification, we highlight that NGS remains underutilized in selecting therapy in GBM, even in a setting where clinical trials and off-label therapies are relatively accessible. Continued efforts to develop better targeted therapies and efficient clinical trial design are required to maximize the potential benefits of genomically-stratified data.

CTNI-11. CC-115 IN NEWLY DIAGNOSED MGMT UNMETHYLATED GLIOBLASTOMA IN THE INDIVIDUALIZED SCREENING TRIAL OF INNOVATIVE GLIOBLASTOMA THERAPY (INSIGHT): A PHASE II RANDOMIZED BAYESIAN ADAPTIVE PLATFORM TRIAL

BACKGROUND

CC-115 is an oral, CNS-penetrant, selective inhibitor of mammalian target of rapamycin kinase (mTOR) and deoxyribonucleic acid-dependent protein kinase (DNA-PK). Both targets are important in glioblastoma; PI3K/Akt/mTOR signaling is hyperactive in most glioblastomas, and DNA-PK is integral to repair of radiotherapy-mediated DNA damage. To investigate CC-115 in newly diagnosed glioblastoma and explore potential genomic biomarker associations, CC-115 was evaluated in the Individualized Screening Trial of Innovative Glioblastoma Therapy (INSIGhT) trial, an adaptive platform trial designed to efficiently test experimental agents.

METHODS

Adults with newly diagnosed MGMT-unmethylated glioblastoma, with genomic data available, are eligible for this ongoing trial. Patients are adaptively randomized to one of several experimental arms or the control arm: standard radiotherapy with concurrent and adjuvant temozolomide. The primary endpoint is overall survival (OS). Patients randomized to CC-115 (10mg po BID) received it concurrently with radiotherapy and as adjuvant monotherapy. As the first in-human use of CC-115 with radiation, a safety lead-in 3 + 3 design was used.

RESULTS

Twelve patients were randomized to CC-115; seven patients had possible treatment-related CTCAE grade > 3 toxicity, including four pre-specified dose-limiting toxicities: liver function abnormality (n=1), hyperlipidemia (n=1), lipase elevation (n=1) and cerebral edema (n=1). There was no significant difference in progression-free survival (PFS, median 4.2 months [CC-115] vs. 5.2 months, p=0.9) or OS (median 10.1 months [CC-115] vs. 14.5 months, p=0.9) compared to the 50 patients randomized to the control arm. Based on early PFS results, randomization probability to CC-115 decreased from 25% to < 10% at time of the trial arm closure.

CONCLUSION

Concurrent and adjuvant CC-115 was associated with toxicity and failed to improve PFS or OS. The INSIGhT trial design allowed for more efficient testing of CC-115, decreasing patients and resources allocated to a therapy that was discontinued due to concerns about toxicity and unfavorable risk-to-benefit ratio.

CTNI-12. PRELIMINARY RESULTS OF THE ABEMACICLIB ARM IN THE INDIVIDUALIZED SCREENING TRIAL OF INNOVATIVE GLIOBLASTOMA THERAPY (INSIGHT): A PHASE II PLATFORM TRIAL USING BAYESIAN ADAPTIVE RANDOMIZATION

BACKGROUND

The cyclin D-CDK4/6-Rb pathway is activated in most glioblastomas. Abemaciclib is a potent CDK4/6 inhibitor with good brain penetration approved for ER/PR/HER2- breast cancer. In order to efficiently evaluate the potential impact of abemaciclib on overall survival (OS) in newly diagnosed glioblastoma and to simultaneously develop information regarding potential genomic biomarker associations, abemaciclib was included as an arm on the Individualized Screening Trial of Innovative Glioblastoma Therapy (INSIGhT) trial. INSIGhT is a phase II platform trial using response adaptive randomization and deep genomic profiling to more efficiently test experimental agents in MGMT unmethylated glioblastoma and potentially accelerate identification of novel therapies for phase III testing. Initial randomization was equal between abemaciclib, control, and two other experimental arms but subsequent randomization was adapted based on efficacy as determined by progression-free survival (PFS). Ineffective arms were discontinued and new arms added by protocol amendment. We report preliminary results for the abemaciclib arm which has completed accrual.

METHODS

Patients with newly diagnosed MGMT-unmethylated glioblastoma were randomized to receive either radiotherapy with concomitant and adjuvant temozolomide at standard doses or standard radiochemotherapy followed by adjuvant abemaciclib (150–200 mg orally BID) without temozolomide. Treatment continued until progression or development of unacceptable toxicities. The primary endpoint was OS. Association between abemaciclib efficacy and cyclin D-CDK4/6-Rb pathway genomic alterations was also investigated.

RESULTS

There were 123 patients (50 control; 73 treated with abemaciclib). Abemaciclib was generally well-tolerated with no new toxicity signals identified. PFS was significantly longer (p=0.03, logrank test) with abemaciclib (median 6.31 months 95% CI [5.29, 8.18]) compared to the control arm (5.16 months 95% CI [4.37, 6.28]). 28/50 control and 36/73 abemaciclib patients remain alive.

CONCLUSION

Preliminary analysis suggests that abemaciclib increases PFS compared to control. Updated toxicity, PFS and survival data and potential genomic biomarker associations will be presented.

Distinct genomic subclasses of high-grade/progressive meningiomas: NF2-associated, NF2-exclusive, and NF2-agnostic

BACKGROUND

Genomic studies of high-grade/progressive meningiomas have reported a heterogeneous mutation spectrum, identifying few recurrently mutated genes. Most studies have been underpowered to detect genomic subclasses of aggressive meningiomas due to relatively small number of available samples. Here, we present a genomic survey of one of the largest multi-institutional cohorts of high-grade/progressive meningiomas to date.

METHODS

850 high-grade/progressive meningiomas, including 441 WHO grade 2 and 176 WHO grade 3 meningiomas and 220 progressive WHO grade 1 meningiomas, were tested as part of a clinical testing program by hybridization capture of 406 cancer-related genes to detect base substitutions, indels, amplifications, deletions, and rearrangements. Information from pathology reports, histopathology review, and patient clinical data was assessed.

RESULTS

Genomic analyses converged to identify at least three distinct patterns of biologically-aggressive meningiomas. The first and most common contained NF2-mutant tumors (n = 426, 50%), was associated with male sex (64.4% %, p = 0.0001) and often harbored additional mutations in CDKN2A/B (24%), and the chromatin regulators ARID1A (9%), and KDM6A (6%). A second group (NF2-agnostic) featured TERT promoter (TERTp; n = 56) or TP53 mutations (n = 25) and were either NF2-mutant or wild-type, and displayed no association with either sex (p = 0.39). The remaining group generally lacked NF2 mutations, and accounted for 40% of the cases-with three subgroups. One consistent primarily of grade 3 lesions harboring alterations in chromatin regulators BAP1 (n = 22) or PBRM1 (n = 16). A second subgroup contained AKT1 (n = 26), PIK3CA (n = 14) and SMO (n = 7) mutant skull-based meningiomas, and a third mixed subgroup included 237 meningiomas with a heterogeneous spectrum of low frequency and non-recurrent alterations.

CONCLUSIONS

Our findings indicate that the patterns of genomic alterations in high-grade/progressive meningiomas commonly group into three different categories. The most common NF2-associated canonical group frequently harbored CDKN2A/B alterations, which is potentially amenable to targeted therapies. An NF2-agnostic group harbored frequent TERTp and TP53 mutations. The final subclass, distinct from the canonical NF2 mutant associated pathway, was partly characterized by BAP1/PBRM1 alterations (rhabdoid/papillary histology) or skull-base disease. Overall, these data increase our understanding of the pathobiology of high-grade/progressive meningiomas and can guide the design of clinical trials.

IRB APPROVAL STATUS

Reviewed and approved by Western IRB; Protocol No. 20152817.

Minerva: a light-weight, narrative image browser for multiplexed tissue images

Advances in highly multiplexed tissue imaging are transforming our understanding of human biology by enabling detection and localization of 10-100 proteins at subcellular resolution (Bodenmiller, 2016). Efforts are now underway to create public atlases of multiplexed images of normal and diseased tissues (Rozenblatt-Rosen et al., 2020). Both research and clinical applications of tissue imaging benefit from recording data from complete specimens so that data on cell state and composition can be studied in the context of overall tissue architecture. As a practical matter, specimen size is limited by the dimensions of microscopy slides (2.5 × 7.5 cm or ~2-8 cm2 of tissue depending on shape). With current microscopy technology, specimens of this size can be imaged at sub-micron resolution across ~60 spectral channels and ~106 cells, resulting in image files of terabyte size. However, the rich detail and multiscale properties of these images pose a substantial computational challenge (Rashid et al., 2020). See Rashid et al. (2020) for an comparison of existing visualization tools targeting these multiplexed tissue images.

Abstract 4729: Identifying genomic drivers of lung adenocarcinoma brain metastases

Although lung adenocarcinomas frequently metastasize to the brain, treatment options for lung adenocarcinoma brain metastases (BM-LUAD) are limited. We discovered novel candidate drivers of progression by using case-control analyses to compare whole-exome sequencing data from a cohort of 73 BM-LUAD to a control cohort of 503 primary lung adenocarcinomas. We identified MYC, YAP1 and MMP13 as genomic regions with significantly more frequent amplifications in BM-LUAD compared to control cohort. We validated that MYC, YAP1 and MMP13 can drive brain metastases in a patient-derived xenograft mouse model, where incidence of brain metastases was higher in mice injected with tumor cells expressing the candidate drivers compared to tumor cells expressing LacZ. These results indicate that somatic alterations can drive lung adenocarcinomas to metastasize to the brain. These candidate drivers may serve as therapeutic targets in patients with brain metastatic lung adenocarcinomas.

Citation Format: Naema Nayyar, David J. Shih, Ivanna Bihun, Ibiayi Dagogo-Jack, Corey M. Gill, Elisa Aquilanti, Mia Bertalan, Alexander Kaplan, Megan R. D'Andrea, Ugonma Chukwueke, Christopher Alvarez-Breckenridge, Matthew Lastrapes, Ben Kuter, Matthew R. Strickland, Juan Carlos Martinez-Gutierrez, Deepika Nagabhushan, Magali De Sauvage, Michael D. White, Brandyn A. Castro, Kaitlin Hoang, Sun Ha Paek, Sun Hye Park, Maria Martinez-Lage, Anna S. Berghoff, Parker Merrill, Elizabeth R. Gerstner, Tracy T. Batchelor, Matthew P. Frosch, Ryan P. Frazier, Darrell R. Borger, A John Iafrate, Sandro Santagata, Matthias Preusser, Daniel P. Cahill, Scott L. Carter, Priscilla K. Brastianos. Identifying genomic drivers of lung adenocarcinoma brain metastases [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 4729.

Abstract 5181: Therapeutic targeting of GPR20, selectively expressed in gastrointestinal stromal tumor (GIST), with DS-6157a, an antibody-drug conjugate (ADC)

More than 85% of GISTs are driven by activating mutations in KIT proto-oncogene receptor tyrosine kinase (KIT) or platelet-derived growth factor receptor alpha (PDGFRA). Currently, the only approved treatments for GIST are KIT directed tyrosine kinase inhibitors (TKIs). However, treatment with approved TKIs eventually results in disease progression most often due to the development of secondary resistance mutations in KIT. In addition, these agents have limited activity in PDGFRA mutant GIST and KIT/PDGFRA wild type (WT) GIST as primary therapy. Therefore, it is essential to develop novel therapeutic strategies with different modes of action in advanced GIST. G protein-coupled receptor 20 (GPR20) is an orphan GPCR selectively and abundantly expressed in GIST. GPR20 expression is regulated by FOXF1 and ETV1, transcription factors that play critical roles in KIT-driven GIST initiation, proliferation, and survival. We hypothesize that GPR20 is a potential therapeutic target for ADC development for the treatment of GIST. In this study, 1) GPR20 and KIT protein expression was assessed by IHC staining on GIST samples from DFCI (n=144) and NCCHE (n=100) as well as on normal and malignant tissue microarrays obtained commercially, and 2) an anti-GPR20 ADC (DS-6157a) was generated to evaluate antitumor activity in GIST models and to assess safety. GPR20 was expressed in more than 88% of the GIST samples analyzed, with higher expression levels in samples that: (I) received multiple treatment lines compared to naïve/early treated samples, (II) expressed higher KIT levels, (III) were small intestinal GIST, and/or (IV) had no KIT mutation, including succinate dehydrogenase (SDH) deficient GIST and neurofibromatosis type 1 (NF1)-associated GIST. The interstitial cells of Cajal were the only normal cells positive for GPR20. Normal mast cells expressed KIT but not GPR20. DS-6157a is an ADC composed of a humanized anti-GPR20 antibody, a Gly-Gly-Phe-Gly tetra-peptide-based linker, and a DNA topoisomerase I (TOP1) inhibitor Dxd. DS-6157a exhibited GPR20 expression-dependent cell growth-inhibitory activity and induced tumor regression with dosing at 3 to 10 mg/kg in multiple GIST xenograft models. In addition, DS-6157a showed antitumor activity in a GIST patient-derived xenograft model that was resistant to imatinib, sunitinib, and regorafenib. In vitro, DS-6157a induced TOP1 inhibitor-associated markers of DNA damage (phosphorylation of Chk1) and apoptosis (cleaved PARP) in GPR20 expressing cells. In preclinical toxicology studies using rats and cynomolgus monkeys, the pharmacokinetics and safety profile of DS-6157a were favorable at up to 200 mg/kg and 30 mg/kg, respectively. These data support the clinical development of DS-6157a as a potential novel GIST therapy with activity in patients that are resistant, refractory, or intolerant to approved TKIs.

Citation Format: Kenji Iida, Amr H. Abdelhamid, Akiko Kawano Nagatsuma, Tomoko Shibutani, Satoru Yasuda, Michiko Kitamura, Chiharu Hattori, Manabu Abe, Jun Hasegawa, Takuma Iguchi, Tsuyoshi Karibe, Takashi Nakada, Koichiro Inaki, Reiko Kamei, Yuki Abe, Jessica L. Andersen, Sandro Santagata, Matthew L. Hemming, Suzanne George, Toshihiko Doi, Atsushi Ochiai, George D. Demetri, Toshinori Agatsuma. Therapeutic targeting of GPR20, selectively expressed in gastrointestinal stromal tumor (GIST), with DS-6157a, an antibody-drug conjugate (ADC) [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5181.

46. PAN-CANCER ANALYSIS OF ORTHOTOPIC PATIENT DERIVED XENOGRAFTS FROM BRAIN METASTASES

Brain metastases (BM) are a leading cause of cancer death and prognosis remains poor despite treatment advances at other sites. Models are central to therapeutic development, but few orthotopic patient-derived xenograft (PDX) models of BM exist. To represent diversity across BM types, we established a program to create orthotopic PDX at scale from all BM patients. To date BM were received from 100 patients and PDX attempted by direct brain injection (PDX, n=89) or injection of low passage patient-derived cell lines (PDCLX, n=11). We created 65 successful BM PDX from 13 cancers: 17 lung (55% take), 15 breast (68%), 6 melanoma (75%), 5 CNS lymphoma (83%), 3 gastrointestinal (75%), 2 esophageal (40%), 2 ovarian (67%), 1 sarcoma (100%), 1 laryngeal (100%), 1 prostate (100%), 1 pancreatic (100%), 1 uterine adenosarcoma (100%), and 1 yolk sac tumor (100%). Take rate was similar for models derived from patients with prior chemotherapy-only versus immune/targeted therapy-only (63 vs 58%). Fifteen patients had live tumor and matching PBMCs archived for modeling in vitro immunotherapy responses. Mean time to moribund among different cancer types ranged from 27 days (yolk sac tumor) to 177.5 days (ovarian). BM PDX had a favorable timeline for preclinical study (90% moribund at 180 days). All PDX matched the patient driver SNVs and copy aberrations, even at >P4. No significant differences noted by immunodeficient strain (SCID versus NSG) or injection site (orthotopic versus heterotopic). Explants from BM PDX were able to generate long-term cell lines (60%) or short-term cultures with qualitative concordance of model-to-patient responses to targeted therapy (Osimertinib, EGFRi) and immunotherapy (Pembrolizumab, PD1i). Genomic and clinical data were used to create the DFCI BM PDX cBioPortal for public release and models distribution will be available through the DFCI Center for Patient Derived Models.