Schaefer-Klein, Janet

Abstract High-grade gliomas (HGGs) are aggressive tumors with poor outcomes and limited treatment options. Here, we combined genomic and transcriptomic tumor profiling with drug testing in a patient-derived 3-dimensional culture model to identify individualized treatments and predictive biomarkers. Activity of single agents targeting frequently dysregulated glioma pathways was relatively poor ex vivo and generally reflected historical patient data. However, compounds targeting PI3K, epigenetic, and survival/senescence signaling were effective in some cases. Drug sensitivity correlated with transcriptional rather than genomic features and suggested heterogeneity as a resistance mechanism. Bromodomain and extraterminal domain inhibition was particularly effective in tumors enriched in the mesenchymal transcriptional subtype, promoted proneural transition, and was overcome by upregulated PI3K signaling. Notably, combinations were largely effective, with 6 strategies exhibiting stronger efficacy than corresponding single agents in most cases (58-77%). This study identifies HGG vulnerabilities and associated biomarkers, resistance mechanisms, and effective combination strategies that warrant further clinical validation. Graphical Abstract

Despite ongoing efforts to employ structure-based methods to discover targeted protein degraders (TPD), the prevailing strategy remains synthesizing a focused set of heterobifunctional compounds and screening them for target protein degradation.

Abstract Antibody-drug conjugates (ADCs) are increasingly being used in clinic, and many novel ADCs are being tested in clinical trials. Most ADCs act by delivering cytotoxic payloads into target cells. The activity of most ADCs is predicated upon internalization to release the cytotoxic payloads intracellularly to act on the malignant cells. The degree of ADC internalization is incomplete or absent for many cell surface targets, limiting the activity of ADCs. PROTACs are heterobifunctional molecules that result in the polyubiquitylation of their targets by inducing proximity with E3 ligases. The proteasome then recognizes the poly-ubiquitin chains and degrades these targets. We hypothesized that PROTACs that act on the same targets as ADCs could improve the internalization and efficacy of these ADCs. Using multiple cell lines derived from breast, lung or pancreatic cancers that express the oncogenic cell surface proteins EGFR (ERBB1), HER2 (ERBB2) or MET (HGF), we measured antibody internalization with live cell imaging. Antibodies were labeled with a pH sensitive reagent that fluoresces red (640 nm) upon exposure to acidic environments. Fluorescence was measured over time to create an area under the curve which was compared between the cell lines that were treated with and without PROTACs. Antibody internalization was observed in all cell lines that expressed the targets recognized by the antibodies. The addition of PROTACs targeting the same oncogenic cell surface proteins as the antibodies significantly increased antibody internalization beyond that observed without PROTACs. Internalization of antibodies was confirmed by measuring intracellular immunoglobulins by Western blot. Antibody internalization with PROTACs was dose-dependent, increased over time and was blocked by either the clatharin inhibitor Dyngo4a or the proteasome inhibitor MG132. In the case of HER2 for which there are FDA-approved anti-HER2 ADCs, the cytotoxicity of trastuzumab emtansine (TDM1) significantly increased with the addition of a HER2-targeting PROTAC across a range of doses. PROTACs that target the same oncogenic cell surface proteins as antibodies improve antibody internalization and ADC cytotoxicity, in a process dependent upon clatharin and the proteasome. This novel application of PROTACs may impact the use of ADCs, and provides a rationale to combine these agents in clinical trials. Citation Format: Ezequiel J. Tolosa, Lin Yang, Jennifer Ayers-Ringler, Jayapal Mallareddy, Janet Schaefer-Klein, Farhad Kosari, Amar Natarajan, Aaron S. Mansfield. Proteolysis targeting chimera (PROTAC)-driven internalization of antibodies targeting oncogenic cell surface receptors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4518.

Background Immune checkpoint inhibitors (ICIs) are now a first-line treatment option for patients with pleural mesothelioma with the recent approval of ipilimumab and nivolumab. Mesothelioma has a low tumor mutation burden and no robust predictors of survival with ICI. Since ICIs enable adaptive antitumor immune responses, we investigated T-cell receptor (TCR) associations with survival in participants from two clinical trials treated with ICI. Methods We included patients with pleural mesothelioma who were treated with nivolumab (NivoMes, NCT02497508) or nivolumab and ipilimumab (INITIATE, NCT03048474) after first-line therapy. TCR sequencing was performed with the ImmunoSEQ assay in 49 and 39 pretreatment and post-treatment patient peripheral blood mononuclear cell (PBMC) samples. These data were integrated with TCR sequences found in bulk RNAseq data by TRUST4 program in 45 and 35 pretreatment and post-treatment tumor biopsy samples and TCR sequences from over 600 healthy controls. The TCR sequences were clustered into groups of shared antigen specificity using GIANA. Associations of TCR clusters with overall survival were determined by cox proportional hazard analysis. Results We identified 4.2 million and 12 thousand complementarity-determining region 3 (CDR3) sequences from PBMCs and tumors, respectively, in patients treated with ICI. These CDR3 sequences were integrated with 2.1 million publically available CDR3 sequences from healthy controls and clustered. ICI-enhanced T-cell infiltration and expanded T cell diversity in tumors. Cases with TCR clones in the top tertile in the pretreatment tissue or in circulation had significantly better survival than the bottom two tertiles (p<0.04). Furthermore, a high number of shared TCR clones between pretreatment tissue and in circulation was associated with improved survival (p=0.01). To potentially select antitumor clusters, we filtered for clusters that were (1) not found in healthy controls, (2) recurrent in multiple patients with mesothelioma, and (3) more prevalent in post-treatment than pretreatment samples. The detection of two-specific TCR clusters provided significant survival benefit compared with detection of 1 cluster (HR<0.001, p=0.026) or the detection of no TCR clusters (HR=0.10, p=0.002). These two clusters were not found in bulk tissue RNA-seq data and have not been reported in public CDR3 databases. Conclusions We identified two unique TCR clusters that were associated with survival on treatment with ICI in patients with pleural mesothelioma. These clusters may enable approaches for antigen discovery and inform future targets for design of adoptive T cell therapies.

Abstract Diffuse gliomas are aggressive brain tumors that lack effective therapies. Despite advances in the molecular characterization of gliomas, targeted treatments have failed to improve patient outcomes to date. Here, we employed a functional genomics approach to rapidly identify therapeutic vulnerabilities and provide a strategy to individualize patient treatment. Our process combined comprehensive genomic and transcriptomic tumor profiling, custom algorithms and visualization software for data integration, and preclinical 3-dimensional ex vivo models (mcancers) for drug screening to assess response to therapeutic agents targeting specific molecular alterations. A total of 32 cases, including 5 oligodendrogliomas (1 primary and 4 recurrent), 5 astrocytomas (1 primary and 4 recurrent), and 22 glioblastomas (5 primary and 17 recurrent), were included in the study. Immunohistochemistry and integrated genomics confirmed that mcancers maintain key molecular alterations, including mutations, chromosomal rearrangements and focal amplifications, cellularity, and heterogeneity, faithfully recapitulating the original tumor. A total of 119 single drugs and 183 combinations were tested, including a panel of 26-brain penetrant targeted agents (18 single drugs and 8 combinations) that was curated to target common glioma oncogenic pathways and was tested across all cases. A strong correlation was observed between therapeutic vulnerabilities of glioma mcancers to targeted agents (EGFR, MET, PDGFR, HDAC inhibitors, etc.) and clinical experience. Single agent activity of panel compounds in the ex vivo setting was generally poor, with only 35% mCancers exhibiting &gt; 70% growth inhibition at Cmax. In contrast, combination strategies, especially ones including epigenetic drugs, were significantly more effective (affecting 22 out of 32 mCancers), underscoring the molecular complexity of gliomas and the need for clinical trials testing combination treatments. Our data identified a number of novel combination treatments with significant efficacy across glioma subtypes and molecular profiles, suggesting that our functional genomics pipeline can guide treatment selection and inform clinical trial enrollment for gliomas.

Genome-wide association studies have identified an association between two intronic single nucleotide polymorphisms (SNPs), rs12722489 and rs2104286, in the interleukin-2 receptor alpha-chain gene ( IL2RA) and susceptibility to multiple sclerosis (MS). We studied these SNPs in association with susceptibility to and severity of MS in a population-based cohort of 220 patients from Olmsted County, Minnesota, compared with 442 matched controls. We sequenced the exons, splice sites and 5’ and 3’ untranslated regions in 27 randomly selected MS patients (powered for allele frequency ≥0.04) to search for mutations. No novel missense mutation was identified. Two patients (7.5%) had an exon 2 SNP ( rs4308625) and two patients had an exon 4 SNP ( rs2228149), both synonymous.

Background: Association of the HLA-DRB1*1501 allele with multiple sclerosis is well established, but its association with neuromyelitis optica has only been evaluated in small populations. Methods: We performed a case-control genetic association study to evaluate the association of HLA-DRB1*1501 with neuromyelitis optica. The single nucleotide polymorphism rs3135388, which tags HLA-DRB1*1501, was genotyped in 164 patients with neuromyelitis optica, 220 patients with multiple sclerosis and 959 controls matched for age, gender and ethnicity. Genotyping for rs3135388 was performed by Taqman-based 5' nuclease assay. Results: Rs3135388*A was positively associated with multiple sclerosis (OR = 3.93; 95% CI = 2.58—5.97, p = 1.18 × 10 -09 ) but negatively associated with NMO (OR = 0.57; 95% CI = 0.36—0.91, p = 0.01). Conclusions: Multiple sclerosis and neuromyelitis optica differ in their associations with DRB1*1501.