Discovery and optimization of narrow spectrum inhibitors of Tousled like kinase 2 (TLK2) using quantitative structure activity relationships

The oxindole scaffold has been the center of several kinase drug discovery programs, some of which have led to approved medicines. A series of two oxindole matched pairs from the literature were identified where TLK2 was potently inhibited as an off-target kinase. The oxindole has long been considered a promiscuous kinase inhibitor template, but across these four specific literature oxindoles TLK2 activity was consistent, while the kinome profile was radically different ranging from narrow to broad spectrum kinome coverage. We synthesized a large series of analogues, utilizing quantitative structure-activity relationship (QSAR) analysis, water mapping of the kinase ATP binding sites, kinome profiling, and small-molecule x-ray structural analysis to optimize TLK2 inhibition and kinome selectivity. This resulted in the identification of several narrow spectrum, sub-family selective, chemical tool compounds including 128 (UNC-CA2-103) that could enable elucidation of TLK2 biology.

PIP4K2C inhibition reverses autophagic flux impairment induced by SARS-CoV-2

In search for broad-spectrum antivirals, we discovered a small molecule inhibitor, RMC-113, that potently suppresses the replication of multiple RNA viruses including SARS-CoV-2 in human lung organoids. We demonstrated selective dual inhibition of the lipid kinases PIP4K2C and PIKfyve by RMC-113 and target engagement by its clickable analog. Advanced lipidomics revealed alteration of SARS-CoV-2-induced phosphoinositide signature by RMC-113 and linked its antiviral effect with functional PIP4K2C and PIKfyve inhibition. We discovered PIP4K2C's roles in SARS-CoV-2 entry, RNA replication, and assembly/egress, validating it as a druggable antiviral target. Integrating proteomics, single-cell transcriptomics, and functional assays revealed that PIP4K2C binds SARS-CoV-2 nonstructural protein 6 and regulates virus-induced impairment of autophagic flux. Reversing this autophagic flux impairment is a mechanism of antiviral action of RMC-113. These findings reveal virus-induced autophagy regulation via PIP4K2C, an understudied kinase, and propose dual inhibition of PIP4K2C and PIKfyve as a candidate strategy to combat emerging viruses.

Illuminating function of the understudied druggable kinome

The human kinome, with more than 500 proteins, is crucial for cell signaling and disease. Yet, about one-third of kinases lack in-depth study. The Data and Resource Generating Center for Understudied Kinases has developed multiple resources to address this challenge including creation of a heavy amino acid peptide library for parallel reaction monitoring and quantitation of protein kinase expression, use of understudied kinases tagged with a miniTurbo-biotin ligase to determine interaction networks by proximity-dependent protein biotinylation, NanoBRET probe development for screening chemical tool target specificity in live cells, characterization of small molecule chemical tools inhibiting understudied kinases, and computational tools for defining kinome architecture. These resources are available through the Dark Kinase Knowledgebase, supporting further research into these understudied protein kinases.

Combined kinome inhibition states are predictive of cancer cell line sensitivity to kinase inhibitor combination therapies

Protein kinases are a primary focus in targeted therapy development for cancer, owing to their role as regulators in nearly all areas of cell life. Recent strategies targeting the kinome with combination therapies have shown promise, such as trametinib and dabrafenib in advanced melanoma, but empirical design for less characterized pathways remains a challenge. Computational combination screening is an attractive alternative, allowing in-silico filtering prior to experimental testing of drastically fewer leads, increasing efficiency and effectiveness of drug development pipelines. In this work, we generated combined kinome inhibition states of 40,000 kinase inhibitor combinations from kinobeads-based kinome profiling across 64 doses. We then integrated these with transcriptomics from CCLE to build machine learning models with elastic-net feature selection to predict cell line sensitivity across nine cancer types, with accuracy R2 ∼ 0.75-0.9. We then validated the model by using a PDX-derived TNBC cell line and saw good global accuracy (R2 ∼ 0.7) as well as high accuracy in predicting synergy using four popular metrics (R2 ∼ 0.9). Additionally, the model was able to predict a highly synergistic combination of trametinib and omipalisib for TNBC treatment, which incidentally was recently in phase I clinical trials. Our choice of tree-based models for greater interpretability allowed interrogation of highly predictive kinases in each cancer type, such as the MAPK, CDK, and STK kinases. Overall, these results suggest that kinome inhibition states of kinase inhibitor combinations are strongly predictive of cell line responses and have great potential for integration into computational drug screening pipelines. This approach may facilitate the identification of effective kinase inhibitor combinations and accelerate the development of novel cancer therapies, ultimately improving patient outcomes.

Discovery and Optimization of Narrow Spectrum Inhibitors of Tousled Like Kinase 2 (TLK2) Using Quantitative Structure Activity Relationships

The oxindole scaffold has been the center of several kinase drug discovery programs, some of which have led to approved medicines. A series of two oxindole matched pairs from the literature were identified where TLK2 was a potent off-target kinase. The oxindole has long been considered a promiscuous inhibitor template, but across these 4 specific literature oxindoles TLK2 activity was consistent, while the kinome profile was radically different from narrow to broad spectrum coverage. We synthesized a large series of analogues and through quantitative structure-activity relationship (QSAR) analysis, water mapping of the kinase ATP binding sites, small-molecule x-ray structural analysis and kinome profiling, narrow spectrum, sub-family selective, chemical tool compounds were identified to enable elucidation of TLK2 biology.

Combined CDK4/6 and ERK1/2 Inhibition Enhances Antitumor Activity in NF1-Associated Plexiform Neurofibroma

PURPOSE

Plexiform neurofibromas (PNF) are peripheral nerve sheath tumors that cause significant morbidity in persons with neurofibromatosis type 1 (NF1), yet treatment options remain limited. To identify novel therapeutic targets for PNF, we applied an integrated multi-omic approach to quantitatively profile kinome enrichment in a mouse model that has predicted therapeutic responses in clinical trials for NF1-associated PNF with high fidelity.

EXPERIMENTAL DESIGN

Utilizing RNA sequencing combined with chemical proteomic profiling of the functionally enriched kinome using multiplexed inhibitor beads coupled with mass spectrometry, we identified molecular signatures predictive of response to CDK4/6 and RAS/MAPK pathway inhibition in PNF. Informed by these results, we evaluated the efficacy of the CDK4/6 inhibitor, abemaciclib, and the ERK1/2 inhibitor, LY3214996, alone and in combination in reducing PNF tumor burden in Nf1flox/flox;PostnCre mice.

RESULTS

Converging signatures of CDK4/6 and RAS/MAPK pathway activation were identified within the transcriptome and kinome that were conserved in both murine and human PNF. We observed robust additivity of the CDK4/6 inhibitor, abemaciclib, in combination with the ERK1/2 inhibitor, LY3214996, in murine and human NF1(Nf1) mutant Schwann cells. Consistent with these findings, the combination of abemaciclib (CDK4/6i) and LY3214996 (ERK1/2i) synergized to suppress molecular signatures of MAPK activation and exhibited enhanced antitumor activity in Nf1flox/flox;PostnCre mice in vivo.

CONCLUSIONS

These findings provide rationale for the clinical translation of CDK4/6 inhibitors alone and in combination with therapies targeting the RAS/MAPK pathway for the treatment of PNF and other peripheral nerve sheath tumors in persons with NF1.

Combined kinome inhibition states are predictive of cancer cell line sensitivity to kinase inhibitor combination therapies

Protein kinases are a primary focus in targeted therapy development for cancer, owing to their role as regulators in nearly all areas of cell life. Kinase inhibitors are one of the fastest growing drug classes in oncology, but resistance acquisition to kinase-targeting monotherapies is inevitable due to the dynamic and interconnected nature of the kinome in response to perturbation. Recent strategies targeting the kinome with combination therapies have shown promise, such as the approval of Trametinib and Dabrafenib in advanced melanoma, but similar empirical combination design for less characterized pathways remains a challenge. Computational combination screening is an attractive alternative, allowing in-silico screening prior to in-vitro or in-vivo testing of drastically fewer leads, increasing efficiency and effectiveness of drug development pipelines. In this work, we generate combined kinome inhibition states of 40,000 kinase inhibitor combinations from kinobeads-based kinome profiling across 64 doses. We then integrated these with baseline transcriptomics from CCLE to build robust machine learning models to predict cell line sensitivity from NCI-ALMANAC across nine cancer types, with model accuracy R2 ~ 0.75-0.9 after feature selection using elastic-net regression. We further validated the model's ability to extend to real-world examples by using the best-performing breast cancer model to generate predictions for kinase inhibitor combination sensitivity and synergy in a PDX-derived TNBC cell line and saw reasonable global accuracy in our experimental validation (R2 ~ 0.7) as well as high accuracy in predicting synergy using four popular metrics (R2 ~ 0.9). Additionally, the model was able to predict a highly synergistic combination of Trametinib (MEK inhibitor) and Omipalisib (PI3K inhibitor) for TNBC treatment, which incidentally was recently in phase I clinical trials for TNBC. Our choice of tree-based models over networks for greater interpretability also allowed us to further interrogate which specific kinases were highly predictive of cell sensitivity in each cancer type, and we saw confirmatory strong predictive power in the inhibition of MAPK, CDK, and STK kinases. Overall, these results suggest that kinome inhibition states of kinase inhibitor combinations are strongly predictive of cell line responses and have great potential for integration into computational drug screening pipelines. This approach may facilitate the identification of effective kinase inhibitor combinations and accelerate the development of novel cancer therapies, ultimately improving patient outcomes.

Abstract PD4-09: PD4-09 Single cell RNA-sequencing identifies intra-tumoral cellular heterogeneity and drug-induced subpopulation shifts in Triple Negative Breast Cancer mouse models

Introduction: Triple Negative Breast Cancer (TNBC) is an aggressive disease with a poor prognosis that accounts for 10-20% of breast cancer cases worldwide. Intra-tumoral heterogeneity and tumor cell plasticity are thought to contribute to drug resistance in TNBCs. Our work aims to: 1) precisely identify the intra-tumoral heterogeneity in cellular states present within TNBC, and 2) test whether drugs can block or initiate plasticity between subpopulations to improve drug sensitivity. We hypothesize that treatment(s) induce cellular plasticity, thus causing cells to shift into resistant states that persist until treatment is removed. We further hypothesize that these resistant subpopulations give rise to new tumor outgrowths once the treatment stops. Methods: To test this, we are treating TP53-/- Genetically Engineered Mouse Model (GEMM) syngeneic transplant tumors of the basal-like TNBC phenotype with the chemotherapeutic doublet of carboplatin/paclitaxel, and targeted agents implicated in plasticity including the MEK inhibitor trametinib, a chromatin remodeling inhibitor I-BET151, and the dihydroorotate dehydrogenase inhibitor brequinar. To identify cellular subpopulations and examine their response to treatment, we performed both in vivo and in vitro drug sensitivity testing, as well as gene expression profiling using single cell RNA-sequencing (scRNAseq). Results: We have identified clear intra-tumoral heterogeneity with at least 6 distinct cell states present, including basal, mesenchymal/claudin-low, and proliferative subpopulations in vivo in most TNBC GEMM models. We performed 18 individual scRNAseq experiments on the TP53-/- 2225L GEMM transplant line with the aforementioned treatments and untreated controls in triplicate and compared subpopulation frequencies in treated versus untreated tumors. Notably, treatment with trametinib and brequinar caused the rise of two rare subpopulations (i.e. 1% to 3-4% of total tumor cells) that express genes consistent with previously described drug-tolerant persisters (DTP), which we have called “Epithelial-DTP” (Tacstd2, Krt6a, and Cryab enriched) and “Mesenchymal-DTP” (Snai2 and Sca-1 enriched). A gene signature generated from the Epithelial-DTP subpopulation predicted poor patient outcomes in neoadjuvant chemotherapy treated TNBC patients. Further, in TNBC patient-derived xenografts (PDX), these two DTP subpopulations are also present and induced by treatment to an even greater frequency. Ongoing experiments include the use of fluorescence-activated cell sorting to isolate and functionally test the tumor-initiating capabilities of these two rare cell subpopulations. In addition, many experiments are underway to identify means to therapeutically target these DTP cells, with these results to be presented. Ultimately, identifying these rare drug resistant subpopulations, and identifying means to eradicate them, could vastly improve therapeutic regimens and outcomes for patients with TNBCs.

Citation Format: Cherise R. Glodowski, Kevin R. Mott, Denis Okumu, Michael P. East, Timothy C. Elston, Gary L. Johnson, Charles M. Perou. PD4-09 Single cell RNA-sequencing identifies intra-tumoral cellular heterogeneity and drug-induced subpopulation shifts in Triple Negative Breast Cancer mouse models [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr PD4-09.

Abstract PR011: Proteomic profiling reveals subtype specific kinase expression in pancreatic cancer

We have previously identified two tumor specific molecular subtypes in pancreatic ductal adenocarcinoma (PDAC), basal-like and classical. Although basal-like tumors are found in less than 20% of patients, patients with basal-like tumors have a worse prognosis and are largely resistant to FOLFIRINOX chemotherapy. To identify targetable basal-like subtype specific vulnerabilities in PDAC, we utilized Multiplexed kinase Inhibitor Beads and Mass Spectrometry (MIB-MS) to profile the kinome in patient derived xenograft (PDX) models that recapitulate the tumor subtypes found in patients. MIB-MS results show that kinase expression is significantly associated with molecular subtype. Notably, basal-like tumors show increased expression of receptor tyrosine kinases (RTKs) including EGFR, MET, and IGF1R and MAP kinase members MEK2 and BRAF indicating activation of the MAP kinase signaling cascade. These RTKs including EGFR are also differentially expressed in primary patient tumors suggesting the true efficacy of EGFR and other kinase inhibitors in basal-like tumors may have been masked by the larger proportion of patients (>80%) with unresponsive classical tumors. Furthermore, inhibition of MAP kinase signaling with the MEK inhibitor trametinib results in kinome reprogramming exclusive to classical tumors. MIB-MS profiling reveals upregulation of TAOK3 and MEK3/6 indicating activation of p38 MAP kinase signaling as a classical subtype specific compensatory mechanism against MEK inhibition. Overall, these results present actionable basal-like subtype specific kinase targets by defining a novel subtype specific kinome in PDAC. Precision approaches in clinical trials are needed to determine if new and previously thought to be disappointing kinase inhibitors may be efficacious in patients with basal-like tumors.

Citation Format: Yi Xu, Ashley B. Morrison, Silvia G. Herrera, Michael P. East, Gary L. Johnson, Jen Jen Yeh. Proteomic profiling reveals subtype specific kinase expression in pancreatic cancer [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr PR011.

Numb-associated kinases are required for SARS-CoV-2 infection and are cellular targets for antiviral strategies

The coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to pose serious threats to global health. We previously reported that AAK1, BIKE and GAK, members of the Numb-associated kinase family, control intracellular trafficking of multiple RNA viruses during viral entry and assembly/egress. Here, using both genetic and pharmacological approaches, we probe the functional relevance of NAKs for SARS-CoV-2 infection. siRNA-mediated depletion of AAK1, BIKE, GAK, and STK16, the fourth member of the NAK family, suppressed SARS-CoV-2 infection in human lung epithelial cells. Both known and novel small molecules with potent AAK1/BIKE, GAK or STK16 activity suppressed SARS-CoV-2 infection. Moreover, combination treatment with the approved anti-cancer drugs, sunitinib and erlotinib, with potent anti-AAK1/BIKE and GAK activity, respectively, demonstrated synergistic effect against SARS-CoV-2 infection in vitro. Time-of-addition experiments revealed that pharmacological inhibition of AAK1 and BIKE suppressed viral entry as well as late stages of the SARS-CoV-2 life cycle. Lastly, suppression of NAKs expression by siRNAs inhibited entry of both wild type and SARS-CoV-2 pseudovirus. These findings provide insight into the roles of NAKs in SARS-CoV-2 infection and establish a proof-of-principle that pharmacological inhibition of NAKs can be potentially used as a host-targeted approach to treat SARS-CoV-2 with potential implications to other coronaviruses.

Abstract 3248: Acquired resistance to targeted inhibitors in EGFR-driven glioblastoma: Identification of dual kinase targets

Glioblastoma (GBM) is a devastating primary brain tumor with <5% 5-year survival. CDKN2A deletion (~60%) and EGFR amplification (~55%) mutations frequently co-occur in these tumors. EGFR is an attractive therapeutic target due to its mutational frequency and availability of brain-penetrant tyrosine kinase inhibitors (TKI). Several EGFR TKI have failed clinically, due in part to acquired resistance. To mechanistically examine this type of resistance, we used a panel of ten genetically engineered mouse astrocyte lines harboring Cdkn2a deletion and EGFRvIII, a common (~30%) activating mutation. Resistant cells were generated via long-term exposure to gefitinib or erlotinib, either in vitro or in vivo. Both transcriptomic (RNAseq) and proteomic (multiplexed inhibitor beads with mass spectrometry, MIB-MS) experiments showed that cell lines clustered primarily by resistance phenotype and secondarily by method of resistance development when analyzed using principal component analysis and unsupervised hierarchical clustering. Kinases involved in proliferation and differentiation signaling pathways (ex: Pdgfrb, Pdk2, Tnik, Mapk3, Fgfr2) were upregulated in both RNAseq and MIB-MS datasets and thus represent putative druggable targets for dual kinase inhibition. Analysis of commonly upregulated kinases and their commercially available inhibitors revealed dovitinib and dasatinib, two brain-penetrant drugs approved for other cancer indications, as candidates for dual inhibition with an EGFR TKI. Resistant cell lines were all more sensitive to dovitinib than their drug-naïve parents; however, sensitivity to dasatinib varied. BLISS analysis of dual treatment with EGFR TKI neratinib and dasatinib or dovitinib revealed synergistic drug interactions in most lines. Additionally, drug-naïve cells displayed a robust, acute proteomic response to EGFR TKI afatinib over 48h, while the response of resistant lines was significantly blunted. This model system can also be used to examine acute vs. long-term kinome response to EGFR TKI. Acute response was examined by treating drug-naïve cells with afatinib over 48h, and long-term kinome rewiring was observed by comparing untreated cells to gefitinib- and erlotinib-resistant cell lines. Combing both RNAseq datasets for kinases upregulated in both drug-naïve cells over a 48h EGFR TKI treatment course and in resistant cell lines compared to their sensitive parents reveals 21 and 13 common kinases, respectively, at p<0.001. Eight of these kinases (Cdk19, Ddr1, Kalrn, Khk, Mapk3, Pink1, Tnik, Ulk2) appear in both the in vitro and in vivo datasets, indicating a conserved kinome response regardless of method of resistance generation. Overall, integrated kinome profiling in GBM models with defined mutational profiles provides a powerful framework to identify novel therapeutic targets that could significantly alter current treatment paradigms.

Citation Format: Abigail K. Shelton, Erin Smithberger, Madison Butler, Allie Stamper, Ryan E. Bash, Steve P. Angus, Michael P. East, Gary L. Johnson, Michael E. Berens, Frank B. Furnari, Ryan Miller. Acquired resistance to targeted inhibitors in EGFR-driven glioblastoma: Identification of dual kinase targets [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3248.

Abstract 1857: Glioblastoma growth is suppressed dual inhibition of EGFR and CDK6 kinases

Glioblastoma (GBM) is a malignant brain tumor that has proven difficult to treat, despite expressing promising targets such as EGFRvIII. EGFRvIII, a mutant version of the epidermal growth factor receptor (EGFR), is constitutively active and not present in normal brain cells. The tumor specificity of EGFRvIII and the frequent EGFR amplification seen in GBM make EGFR a potentially attractive therapeutic target; however, clinical studies have shown little to no efficacy for EGFR tyrosine kinase inhibitors (TKI). One reason for this lack of efficacy may be adaptive resistance. We used RNA sequencing and multiplexed inhibitor beads with mass spectrometry (MIB-MS) to study the transcriptomes and kinomes of genetically engineered mouse astrocytes to investigate this resistance and identify potential targets for dual inhibition. Out of 329 kinases detected by MIB-MS, 76 were differentially expressed between cells with Cdkn2a deletion (“C”) and cells that also overexpressed EGFRvIII (“CEv3”). Thirty-four of these kinases were overexpressed in the CEv3 cells relative to the parental C cells (log2 fold change of 5.6, p<1x105). One of these kinases, Cdk6, is also significantly overexpressed in CEv3 cells versus cells that have a further loss of function mutation of Pten (“CEv3P”) (log2 fold change of 5.6, p<1x105). Despite this significant differential expression at the protein level, RNA expression of Cdk6 was similar between cell lines. When these cells were treated with the CDK6 inhibitor abemaciclib, CEv3 cells were found to be significantly more sensitive to inhibition than C and CEv3P cells (IC50 of 0.10 μM vs. 0.18 μM and 0.23 μM, respectively). Similarly, when cells were treated with abemaciclib in combination with the EGFR inhibitor neratinib, there was significantly higher synergy in CEv3 cells than C or CEv3P cells. Genotypically-matched patient-derived xenograft (PDX) cells were assayed for EGFR-CDK6 inhibitor synergy and showed a similar pattern of greater synergy in cells with EGFRvIII overexpression and functional PTEN than cells with EGFRvIII overexpression and PTEN loss. CEv3 and CEv3P cells were orthotopically implanted into mice and treated with neratinib, abemaciclib, or a combination. In CEv3-injected mice, combination treatment led to significantly longer survival than either single agent or control treatment. However, in CEv3P-injected mice, no survival difference was seen between any of the treatment arms. Taken together, these data provide strong evidence that CDK6 is a promising target for combination treatment with EGFR inhibitors in glioblastoma.

Citation Format: Erin Smithberger, Abigail K. Shelton, Ryan E. Bash, Madison K. Butler, Alex R. Flores, Allie Stamper, Steven P. Angus, Michael P. East, Gary L. Johnson, Michael E. Berens, Frank B. Furnari, Ryan Miller. Glioblastoma growth is suppressed dual inhibition of EGFR and CDK6 kinases [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1857.

Identification of 4-anilino-quin(az)oline as a cell active Protein Kinase Novel 3 (PKN3) inhibitor chemotype

Deep annotation of a library of 4-anilinoquinolines led to the identification of 7-iodo- N -(3,4,5-trimethoxyphenyl)quinolin-4-amine 16 as a potent inhibitor (IC 50 = 14 nM) of Protein Kinase Novel 3 (PKN3) with micromolar activity in cells. Compound 16 is a potential tool compound to study the cell biology of PKN3 and its role in pancreatic and prostate cancer and T-cell acute lymphoblastic leukemia. These 4-anilinoquinolines may also be useful tools to uncover the therapeutic potential of PKN3 inhibition in a broad range of diseases.

Abstract P3-15-01: Patients and Researchers Together (PART); a patient-centered tumor tissue collection PARTnership between patients and researchers to increase tissue donations for breast cancer research

Introduction: Translational research is essential to the success of every cancer center. Increasingly doctors ask patients to donate tissue to study all aspects of the disease to improve cancer treatments and quality of life. Patients are key stakeholders and partners in the success of the translational research process. The University of North Carolina (UNC), Lineberger Comprehensive Cancer Center (LCCC) researchers would like to increase the number of patients that donate tissue to support research and value patients who donate. Securing the right tissues at the right time, and processing and storing them properly is essential for research that leads to breakthrough discoveries. Purpose: LCCC supports the inclusion of patient advocates in all cancer center research. Therefore, the UNC Breast SPORE patient advocates initiated a program called Patients and Researchers Together (PART) to ensure patients work closely with researchers to drive the best research forward. The PART-Tissue program aims to develop a process to increase the donation and usage of patient donated tissues. This program is built on significant patient engagement that leads to a bi-directional patient and researcher PARTnership. We believe patients will be more willing to donate tissue if they are informed about the research process, understand the impact research has to improve patient’s lives, and are valued as PARTners of LCCC. Objectives: The first objective is to promote the excellence of LCCC translational research to all stakeholders, including patients and the community. Second; create a patient-centered tissue donation program that will meet researcher needs across LCCC, and Third; ensure the tissue collection process is primarily focused on recognizing patient’s voluntary contributions while minimizing patient burden. Methods: We first created a multi-stakeholder committee to ensure the participation of key stakeholders in all activities. We developed a process to identify relevant materials to assist in tissue donation at LCCC. The project focused on a Lineberger breast cancer tissue collection protocol (LCCC9819). We discussed patient, researcher and clinician/surgeon needs that reflect the vision of the PART program. We identified the need for several types of informational materials for patients, developed them with multi-stakeholder involvement and evaluated their accuracy, readability, understandability, and health literacy. We assessed the current and future needs of LCCC researchers by conducting interviews and surveys. We also engaged patient advocates as PARTners throughout this project. Results: We initiated the PART-Tissue program in August 2020 and we have engaged multiple stakeholders throughout the project. We evaluated LCCC9819 from the patient, research and clinical perspectives. We identified a series of informational materials needed for patients to introduce them to the value of tissue donation and to introduce them to the LCCC9819 protocol. We developed two introductory materials and a study summary. We conducted interviews and developed a survey to collect information about researcher needs at LCCC. In pilot interviews, we noticed a high need for fresh tissue, which requires real-time coordination between clinicians, clinical research coordinators, surgeons, pathologists and researchers. We also developed a website to connect directly with patients and the community about the importance of tissue donation that can lead to discoveries in cancer risk reduction and treatment. The goal is to develop a process where patients feel encouraged to donate tissue samples and are appreciated as partners with researchers who use the tissue to improve the lives of cancer patients.

Citation Format: Patricia A. Spears, Vernal Branch, Jennifer A. Potter, Missy Van Lokeren, Nasrin H. Babadi, Adriana S. Beltran, Laurie Betts, Coleen Crespo, Barbara Dean, Amy L. Garrett, Laura T. Jensen, Gary L. Johnson, Hayley Morris, Philip Spanheimer, Charles M. Perou, Lisa A. Carey, H. Shelton Earp. Patients and Researchers Together (PART); a patient-centered tumor tissue collection PARTnership between patients and researchers to increase tissue donations for breast cancer research [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P3-15-01.

Adaptive chromatin remodeling and transcriptional changes of the functional kinome in tumor cells in response to targeted kinase inhibition

Pharmacological inhibition of protein kinases induces adaptive reprogramming of tumor cell regulatory networks by altering expression of genes that regulate signaling, including protein kinases. Adaptive responses are dependent on transcriptional changes resulting from remodeling of enhancer and promoter landscapes. Enhancer and promoter remodeling in response to targeted kinase inhibition is controlled by changes in open chromatin state and by activity of specific transcription factors, such as c-MYC. This review focuses on the dynamic plasticity of protein kinase expression of the tumor cell kinome and the resulting adaptive resistance to targeted kinase inhibition. Plasticity of the functional kinome has been shown in patient window trials where triple-negative and human epidermal growth factor receptor 2–positive breast cancer patient tumors were characterized by RNAseq after biopsies before and after 1 week of therapy. The expressed kinome changed dramatically during drug treatment, and these changes in kinase expression were shown in cell lines and xenografts in mice to be correlated with adaptive tumor cell drug resistance. The dynamic transcriptional nature of the kinome also differs for inhibitors targeting different kinase signaling pathways (e.g., BRAF-MEK-ERK versus PI3K-AKT) that are commonly activated in cancers. Heterogeneity arising from differences in gene regulation and mutations represents a challenge to therapeutic durability and prevention of clinical drug resistance with drug-tolerant tumor cell populations developing and persisting through treatment. We conclude that understanding the heterogeneity of kinase expression at baseline and in response to therapy is imperative for development of combinations and timing intervals of therapies making interventions durable.

PRM-LIVE with Trapped Ion Mobility Spectrometry and Its Application in Selectivity Profiling of Kinase Inhibitors

Parallel reaction monitoring (PRM) has emerged as a popular approach for targeted protein quantification. With high ion utilization efficiency and first-in-class acquisition speed, the timsTOF Pro provides a powerful platform for PRM analysis. However, sporadic chromatographic drift in peptide retention time represents a fundamental limitation for the reproducible multiplexing of targets across PRM acquisitions. Here, we present PRM-LIVE, an extensible, Python-based acquisition engine for the timsTOF Pro, which dynamically adjusts detection windows for reproducible target scheduling. In this initial implementation, we used iRT peptides as retention time standards and demonstrated reproducible detection and quantification of 1857 tryptic peptides from the cell lysate in a 60 min PRM-LIVE acquisition. As an application in functional proteomics, we use PRM-LIVE in an activity-based protein profiling platform to assess binding selectivity of small-molecule inhibitors against 220 endogenous human kinases.

Synthesis and Evaluation of Novel 1,2,6-Thiadiazinone Kinase Inhibitors as Potent Inhibitors of Solid Tumors

A focused series of substituted 4H-1,2,6-thiadiazin-4-ones was designed and synthesized to probe the anti-cancer properties of this scaffold. Insights from previous kinase inhibitor programs were used to carefully select several different substitution patterns. Compounds were tested on bladder, prostate, pancreatic, breast, chordoma, and lung cancer cell lines with an additional skin fibroblast cell line as a toxicity control. This resulted in the identification of several low single digit micro molar compounds with promising therapeutic windows, particularly for bladder and prostate cancer. A number of key structural features of the 4H-1,2,6-thiadiazin-4-one scaffold are discussed that show promising scope for future improvement.

Brigatinib causes tumor shrinkage in both NF2-deficient meningioma and schwannoma through inhibition of multiple tyrosine kinases but not ALK

Neurofibromatosis Type 2 (NF2) is an autosomal dominant genetic syndrome caused by mutations in the NF2 tumor suppressor gene resulting in multiple schwannomas and meningiomas. There are no FDA approved therapies for these tumors and their relentless progression results in high rates of morbidity and mortality. Through a combination of high throughput screens, preclinical in vivo modeling, and evaluation of the kinome en masse, we identified actionable drug targets and efficacious experimental therapeutics for the treatment of NF2 related schwannomas and meningiomas. These efforts identified brigatinib (ALUNBRIG^®), an FDA-approved inhibitor of multiple tyrosine kinases including ALK, to be a potent inhibitor of tumor growth in established NF2 deficient xenograft meningiomas and a genetically engineered murine model of spontaneous NF2 schwannomas. Surprisingly, neither meningioma nor schwannoma cells express ALK. Instead, we demonstrate that brigatinib inhibited multiple tyrosine kinases, including EphA2, Fer and focal adhesion kinase 1 (FAK1). These data demonstrate the power of the de novo unbiased approach for drug discovery and represents a major step forward in the advancement of therapeutics for the treatment of NF2 related malignancies.

FOXA1 and adaptive response determinants to HER2 targeted therapy in TBCRC 036

Inhibition of the HER2/ERBB2 receptor is a keystone to treating HER2-positive malignancies, particularly breast cancer, but a significant fraction of HER2-positive (HER2+) breast cancers recur or fail to respond. Anti-HER2 monoclonal antibodies, like trastuzumab or pertuzumab, and ATP active site inhibitors like lapatinib, commonly lack durability because of adaptive changes in the tumor leading to resistance. HER2+ cell line responses to inhibition with lapatinib were analyzed by RNAseq and ChIPseq to characterize transcriptional and epigenetic changes. Motif analysis of lapatinib-responsive genomic regions implicated the pioneer transcription factor FOXA1 as a mediator of adaptive responses. Lapatinib in combination with FOXA1 depletion led to dysregulation of enhancers, impaired adaptive upregulation of HER3, and decreased proliferation. HER2-directed therapy using clinically relevant drugs (trastuzumab with or without lapatinib or pertuzumab) in a 7-day clinical trial designed to examine early pharmacodynamic response to antibody-based anti-HER2 therapy showed reduced FOXA1 expression was coincident with decreased HER2 and HER3 levels, decreased proliferation gene signatures, and increased immune gene signatures. This highlights the importance of the immune response to anti-HER2 antibodies and suggests that inhibiting FOXA1-mediated adaptive responses in combination with HER2 targeting is a potential therapeutic strategy.

Limited inhibition of multiple nodes in a driver network blocks metastasis

Metastasis suppression by high-dose, multi-drug targeting is unsuccessful due to network heterogeneity and compensatory network activation. Here, we show that targeting driver network signaling capacity by limited inhibition of core pathways is a more effective anti-metastatic strategy. This principle underlies the action of a physiological metastasis suppressor, Raf Kinase Inhibitory Protein (RKIP), that moderately decreases stress-regulated MAP kinase network activity, reducing output to transcription factors such as pro-metastastic BACH1 and motility-related target genes. We developed a low-dose four-drug mimic that blocks metastatic colonization in mouse breast cancer models and increases survival. Experiments and network flow modeling show limited inhibition of multiple pathways is required to overcome variation in MAPK network topology and suppress signaling output across heterogeneous tumor cells. Restricting inhibition of individual kinases dissipates surplus signal, preventing threshold activation of compensatory kinase networks. This low-dose multi-drug approach to decrease signaling capacity of driver networks represents a transformative, clinically relevant strategy for anti-metastatic treatment.

SOX4 and SMARCA4 cooperatively regulate PI3k signaling through transcriptional activation of TGFBR2

Dysregulation of PI3K/Akt signaling is a dominant feature in basal-like or triple-negative breast cancers (TNBC). However, the mechanisms regulating this pathway are largely unknown in this subset of aggressive tumors. Here we demonstrate that the transcription factor SOX4 is a key regulator of PI3K signaling in TNBC. Genomic and proteomic analyses coupled with mechanistic studies identified TGFBR2 as a direct transcriptional target of SOX4 and demonstrated that TGFBR2 is required to mediate SOX4-dependent PI3K signaling. We further report that SOX4 and the SWI/SNF ATPase SMARCA4, which are uniformly overexpressed in basal-like tumors, form a previously unreported complex that is required to maintain an open chromatin conformation at the TGFBR2 regulatory regions in order to mediate TGFBR2 expression and PI3K signaling. Collectively, our findings delineate the mechanism by which SOX4 and SMARCA4 cooperatively regulate PI3K/Akt signaling and suggest that this complex may play an essential role in TNBC genesis and/or progression.

FGFR4 regulates tumor subtype differentiation in luminal breast cancer and metastatic disease

Mechanisms driving tumor progression from less aggressive subtypes to more aggressive states represent key targets for therapy. We identified a subset of luminal A primary breast tumors that give rise to HER2-enriched (HER2E) subtype metastases, but remain clinically HER2 negative (cHER2-). By testing the unique genetic and transcriptomic features of these cases, we developed the hypothesis that FGFR4 likely participates in this subtype switching. To evaluate this, we developed 2 FGFR4 genomic signatures using a patient-derived xenograft (PDX) model treated with an FGFR4 inhibitor, which inhibited PDX growth in vivo. Bulk tumor gene expression analysis and single-cell RNA sequencing demonstrated that the inhibition of FGFR4 signaling caused molecular switching. In the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) breast cancer cohort, FGFR4-induced and FGFR4-repressed signatures each predicted overall survival. Additionally, the FGFR4-induced signature was an independent prognostic factor beyond subtype and stage. Supervised analysis of 77 primary tumors with paired metastases revealed that the FGFR4-induced signature was significantly higher in luminal/ER+ tumor metastases compared with their primaries. Finally, multivariate analysis demonstrated that the FGFR4-induced signature also predicted site-specific metastasis for lung, liver, and brain, but not for bone or lymph nodes. These data identify a link between FGFR4-regulated genes and metastasis, suggesting treatment options for FGFR4-positive patients, whose high expression is not caused by mutation or amplification.

Nf1-Mutant Tumors Undergo Transcriptome and Kinome Remodeling after Inhibition of either mTOR or MEK

Loss of the tumor suppressor NF1 leads to activation of RAS effector pathways, which are therapeutically targeted by inhibition of mTOR (mTORi) or MEK (MEKi). However, therapeutic inhibition of RAS effectors leads to the development of drug resistance and ultimately disease progression. To investigate molecular signatures in the context of NF1 loss and subsequent acquired drug resistance, we analyzed the exomes, transcriptomes, and kinomes of Nf1-mutant mouse tumor cell lines and derivatives of these lines that acquired resistance to either MEKi or mTORi. Biochemical comparisons of this unique panel of tumor cells, all of which arose in Nf1^+/- mice, indicate that loss of heterozygosity of Nf1 as an initial genetic event does not confer a common biochemical signature or response to kinase inhibition. Although acquired drug resistance by Nf1-mutant tumor cells was accompanied by altered kinomes and irreversibly altered transcriptomes, functionally in multiple Nf1-mutant tumor cell lines, MEKi resistance was a stable phenotype, in contrast to mTORi resistance, which was reversible. Collectively, these findings demonstrate that Nf1-mutant tumors represent a heterogeneous group biochemically and undergo broader remodeling of kinome activity and gene expression in response to targeted kinase inhibition.

Discrete Adaptive Responses to MEK Inhibitor in Subpopulations of Triple-Negative Breast Cancer

Triple-negative breast cancers contain a spectrum of epithelial and mesenchymal phenotypes. SUM-229PE cells represent a model for this heterogeneity, maintaining both epithelial and mesenchymal subpopulations that are genomically similar but distinct in gene expression profiles. We identified differential regions of open chromatin in epithelial and mesenchymal cells that were strongly correlated with regions of H3K27ac. Motif analysis of these regions identified consensus sequences for transcription factors that regulate cell identity. Treatment with the MEK inhibitor trametinib induced enhancer remodeling that is associated with transcriptional regulation of genes in epithelial and mesenchymal cells. Motif analysis of enhancer peaks downregulated in response to chronic treatment with trametinib identified AP-1 motif enrichment in both epithelial and mesenchymal subpopulations. Chromatin immunoprecipitation sequencing (ChIP-seq) of JUNB identified subpopulation-specific localization, which was significantly enriched at regions of open chromatin. These results indicate that cell identity controls localization of transcription factors and chromatin-modifying enzymes to enhancers for differential control of gene expression. We identified increased H3K27ac at an enhancer region proximal to CXCR7, a G-protein-coupled receptor that increased 15-fold in expression in the epithelial subpopulation during chronic treatment. RNAi knockdown of CXCR7 inhibited proliferation in trametinib-resistant cells. Thus, adaptive resistance to chronic trametinib treatment contributes to proliferation in the presence of the drug. Acquired amplification of KRAS following trametinib dose escalation further contributed to POS cell proliferation. Adaptive followed by acquired gene expression changes contributed to proliferation in trametinib-resistant cells, suggesting inhibition of early transcriptional reprogramming could prevent resistance and the bypass of targeted therapy. IMPLICATIONS: We defined the differential responses to trametinib in subpopulations of a clinically relevant in vitro model of TNBC, and identified both adaptive and acquired elements that contribute to the emergence of drug resistance mediated by increased expression of CXCR7 and amplification of KRAS.

Irreversible JNK1-JUN inhibition by JNK-IN-8 sensitizes pancreatic cancer to 5-FU/FOLFOX chemotherapy

Over 55,000 people in the United States are diagnosed with pancreatic ductal adenocarcinoma (PDAC) yearly, and fewer than 20% of these patients survive a year beyond diagnosis. Chemotherapies are considered or used in nearly every PDAC case, but there is limited understanding of the complex signaling responses underlying resistance to these common treatments. Here, we take an unbiased approach to study protein kinase network changes following chemotherapies in patient-derived xenograft (PDX) models of PDAC to facilitate design of rational drug combinations. Proteomics profiling following chemotherapy regimens reveals that activation of JNK-JUN signaling occurs after 5-fluorouracil plus leucovorin (5-FU + LEU) and FOLFOX (5-FU + LEU plus oxaliplatin [OX]), but not after OX alone or gemcitabine. Cell and tumor growth assays with the irreversible inhibitor JNK-IN-8 and genetic manipulations demonstrate that JNK and JUN each contribute to chemoresistance and cancer cell survival after FOLFOX. Active JNK1 and JUN are specifically implicated in these effects, and synergy with JNK-IN-8 is linked to FOLFOX-mediated JUN activation, cell cycle dysregulation, and DNA damage response. This study highlights the potential for JNK-IN-8 as a biological tool and potential combination therapy with FOLFOX in PDAC and reinforces the need to tailor treatment to functional characteristics of individual tumors.

EPH receptor signaling as a novel therapeutic target in NF2-deficient meningioma

Background

Meningiomas are the most common primary brain tumor in adults, and somatic loss of the neurofibromatosis 2 (NF2) tumor suppressor gene is a frequent genetic event. There is no effective treatment for tumors that recur or continue to grow despite surgery and/or radiation. Therefore, targeted therapies that either delay tumor progression or cause tumor shrinkage are much needed. Our earlier work established mammalian target of rapamycin complex mTORC1/mTORC2 activation in NF2-deficient meningiomas.

Methods

High-throughput kinome analyses were performed in NF2-null human arachnoidal and meningioma cell lines to identify functional kinome changes upon NF2 loss. Immunoblotting confirmed the activation of kinases and demonstrated effectiveness of drugs to block the activation. Drugs, singly and in combination, were screened in cells for their growth inhibitory activity. Antitumor drug efficacy was tested in an orthotopic meningioma model.

Results

Erythropoietin-producing hepatocellular receptor tyrosine kinases (EPH RTKs), c-KIT, and Src family kinase (SFK) members, which are biological targets of dasatinib, were among the top candidates activated in NF2-null cells. Dasatinib significantly inhibited phospho-EPH receptor A2 (pEPHA2), pEPHB1, c-KIT, and Src/SFK in NF2-null cells, showing no cross-talk with mTORC1/2 signaling. Posttreatment kinome analyses showed minimal adaptive changes. While dasatinib treatment showed some activity, dual mTORC1/2 inhibitor and its combination with dasatinib elicited stronger growth inhibition in meningiomas.

Conclusion

Co-targeting mTORC1/2 and EPH RTK/SFK pathways could be a novel effective treatment strategy for NF2-deficient meningiomas.

GSK2801, a BAZ2/BRD9 Bromodomain Inhibitor, Synergizes with BET Inhibitors to Induce Apoptosis in Triple-Negative Breast Cancer

Screening of an inhibitor library targeting kinases and epigenetic regulators identified several molecules having antiproliferative synergy with extraterminal domain (BET) bromodomain (BD) inhibitors (JQ1, OTX015) in triple-negative breast cancer (TNBC). GSK2801, an inhibitor of BAZ2A/B BDs, of the imitation switch chromatin remodeling complexes, and BRD9, of the SWI/SNF complex, demonstrated synergy independent of BRD4 control of P-TEFb-mediated pause-release of RNA polymerase II. GSK2801 or RNAi knockdown of BAZ2A/B with JQ1 selectively displaced BRD2 at promoters/enhancers of ETS-regulated genes. Additional displacement of BRD2 from rDNA in the nucleolus coincided with decreased 45S rRNA, revealing a function of BRD2 in regulating RNA polymerase I transcription. In 2D cultures, enhanced displacement of BRD2 from chromatin by combination drug treatment induced senescence. In spheroid cultures, combination treatment induced cleaved caspase-3 and cleaved PARP characteristic of apoptosis in tumor cells. Thus, GSK2801 blocks BRD2-driven transcription in combination with BET inhibitor and induces apoptosis of TNBC. IMPLICATIONS: Synergistic inhibition of BDs encoded in BAZ2A/B, BRD9, and BET proteins induces apoptosis of TNBC by a combinatorial suppression of ribosomal DNA transcription and ETS-regulated genes.

Abstract 3019: Dynamic kinome profiling of EGFRvIII-driven murine astrocyte models of glioblastoma reveals targets for dual kinase inhibitor therapy

Glioblastoma (GBM) is an aggressive brain tumor with few effective treatments. Epidermal growth factor receptor (EGFR) is frequently amplified and mutated in GBM, leading to trials of several EGFR tyrosine kinase inhibitors, but none have proven successful. One potential reason for failure is acquired resistance, particularly acute, adaptive responses in the kinome. To study this adaptive resistance mechanism, we used RNA-seq and multiplex inhibitor bead/mass spectrometry (MIB-MS) to analyze transcriptomes and kinomes of genetically-engineered murine astrocytes with genotypes commonly seen in human GBM. We previously showed that 38% (86 of 228) of the expressed kinome varied among a panel of genetically diverse murine astrocytes harboring Cdkn2a deletion (C) plus Pten deletion (CP), wild-type human EGFR (CE) or EGFRvIII (CEv3) overexpression, or both overexpressed EGFRvIII and Pten deletion (CEv3P). Pairwise genotype comparisons revealed multiple differentially activated kinases, including Pdgfrb, Fgfr2, Lyn, Ddr1, and several Ephrin family members. We further investigated these potential targets for dual therapy with EGFR TKI by examining the transcriptional response of cultured astrocytes at 4, 24, and 48 hours after 3 μM afatinib. Afatinib induced no kinome changes in C and only 3 kinases (Fn3k, Prkg2, and Syk) were altered in CP astrocytes. Despite similar baseline gene expression profiles, CE astrocytes overexpressing wild-type EGFR responded significantly differently than C astrocytes without. Five kinases (Dclk1, Epha3, Epha7, Fgfr3, and Prkg1) were induced, while 14 were repressed. Six were similarly repressed in CEv3 (Bub1, Nek2, Pask, Plk4, Prkcb, and Vrk1). Whereas the kinase transcriptome response was blunted in C, CP, and CE astrocytes, afatinib induced altered expression of significantly more kinases in CEv3 (82) and CEv3P cells (49). One particularly attractive target in CEv3 astrocytes was Epha4, which afatinib induced >40-fold. Dual inhibition of EGFRvIII and Epha4 kinases may thus provide an opportunity for more effective targeted therapy.

Citation Format: Erin Smithberger, Abigail K. Shelton, Madison K. Butler, Alex R. Flores, Ryan E. Bash, Steven P. Angus, Noah Sciaky, Harshil D. Dhruv, Gary L. Johnson, Michael E. Berens, Frank B. Furnari, C. Ryan Miller. Dynamic kinome profiling of EGFRvIII-driven murine astrocyte models of glioblastoma reveals targets for dual kinase inhibitor therapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3019.

Abstract 331: Dynamic kinome targeting reveals kinases involved in acquired resistance to tyrosine kinase inhibitors in EGFR-driven glioblastomas

Glioblastoma (GBM) is a devastating primary brain tumor with limited treatment options. Extensive molecular characterization has revealed two particularly frequent mutations: CDKN2A deletion (50-60%) and EGFR (40-50%). EGFRvIII (~35%) is a constitutively active truncation mutant with exons 2-7 deleted. EGFR is a particularly attractive therapeutic target due to frequent activating mutations, such as EGFRvIII, and ready availability of multiple targeted inhibitors. Several EGFR tyrosine kinase inhibitors (TKI) have failed clinically, due in part to acquired resistance. To mechanistically examine this type of resistance, we used genetically-engineered mouse astrocytes harboring homozygous deletions of Cdkn2a, as well as EGFRvIII (CEv3). CEv3 astrocytes were made intrinsically resistant to the EGFR TKI gefitinib or erlotinib via long-term exposure, both in vitro and in vivo. We found that long-term gefitinib or erlotinib exposure conferred variable levels of cross resistance to a panel of second- and third-generation EGFR TKI (ΔIC50 1.12-36.1-fold), relative to non-resistant parent lines. We have previously shown that dynamic kinome reprogramming may be responsible for TKI resistance in glioblastoma. Therefore, we used a chemical proteomics method, multiplexed inhibitor beads and mass spectrometry (MIB-MS), to examine changes in the expressed and functional kinome, in both the presence or absence of one of several EGFR TKI known to penetrate the blood-brain barrier. Additionally, we performed RNA sequencing (RNA-seq) to inspect transcriptomic alterations in response to these drugs. RNA-seq showed that resistant CEv3 mouse astrocytes clustered separately from their non-resistant in vitro and in vivo counterparts. Acquired resistance also induced transcriptome alterations governing cellular metabolism, including upregulation of metabolic pathways and downregulation of RNA processing genes. Importantly, the kinase transcriptome was rewired, as 67 kinases were differentially expressed across parental and resistant cell lines (Q<0.001). Probing the dynamic kinome response to afatinib, an EGFR TKI, using RNA-seq identified two potential kinases involved in acute, adaptive resistance to afatinib, Bmx and Ntrk3. Integrated kinome profiling using RNA-seq and MIB-MS in murine models of GBM with defined mutational profiles provides a powerful framework to define novel therapeutic targets that could significantly alter current treatment paradigms.

Citation Format: Abby Shelton, Erin Smithberger, Madison Butler, Alex Flores, Ryan Bash, Steve Angus, Noah Sciaky, Harshil Dhruv, Gary L. Johnson, Michael E. Berens, Frank Furnari, C. Ryan Miller. Dynamic kinome targeting reveals kinases involved in acquired resistance to tyrosine kinase inhibitors in EGFR-driven glioblastomas [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 331.

A proteasome-resistant fragment of NIK mediates oncogenic NF-κB signaling in schwannomas

Schwannomas are common, highly morbid and medically untreatable tumors that can arise in patients with germ line as well as somatic mutations in neurofibromatosis type 2 (NF2). These mutations most commonly result in the loss of function of the NF2-encoded protein, Merlin. Little is known about how Merlin functions endogenously as a tumor suppressor and how its loss leads to oncogenic transformation in Schwann cells (SCs). Here, we identify nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB)-inducing kinase (NIK) as a potential drug target driving NF-κB signaling and Merlin-deficient schwannoma genesis. Using a genomic approach to profile aberrant tumor signaling pathways, we describe multiple upregulated NF-κB signaling elements in human and murine schwannomas, leading us to identify a caspase-cleaved, proteasome-resistant NIK kinase domain fragment that amplifies pathogenic NF-κB signaling. Lentiviral-mediated transduction of this NIK fragment into normal SCs promotes proliferation, survival, and adhesion while inducing schwannoma formation in a novel in vivo orthotopic transplant model. Furthermore, we describe an NF-κB-potentiated hepatocyte growth factor (HGF) to MET proto-oncogene receptor tyrosine kinase (c-Met) autocrine feed-forward loop promoting SC proliferation. These innovative studies identify a novel signaling axis underlying schwannoma formation, revealing new and potentially druggable schwannoma vulnerabilities with future therapeutic potential.

Far away from the lamppost

This Formal Comment responds to a recent Meta-Research Article by identifying initiatives that are already in place for funding risky exploratory research that illuminate mysteries of the dark genome.

Application of Integrated Drug Screening/Kinome Analysis to Identify Inhibitors of Gemcitabine-Resistant Pancreatic Cancer Cell Growth

Continuous exposure of a pancreatic cancer cell line MIA PaCa-2 (MiaS) to gemcitabine resulted in the formation of a gemcitabine-resistant subline (MiaR). In an effort to discover kinase inhibitors that inhibited MiaR growth, MiaR cells were exposed to kinase inhibitors (PKIS-1 library) in a 384-well screening format. Three compounds (UNC10112721A, UNC10112652A, and UNC10112793A) were identified that inhibited the growth of MiaR cells by more than 50% (at 50 nM). Two compounds (UNC10112721A and UNC10112652A) were classified as cyclin-dependent kinase (CDK) inhibitors, whereas UNC10112793A was reported to be a PLK inhibitor. Dose-response experiments supported the efficacy of these compounds to inhibit growth and increase apoptosis in 2D cultures of these cells. However, only UNC10112721A significantly inhibited the growth of 3D spheroids composed of MiaR cells and GFP-tagged cancer-associated fibroblasts. Multiplexed inhibitor bead (MIB)-mass spectrometry (MS) kinome competition experiments identified CDK9, CLK1-4, DYRK1A, and CSNK1 as major kinase targets for UNC10112721A in MiaR cells. Another CDK9 inhibitor (CDK-IN-2) replicated the growth inhibitory effects of UNC10112721A, whereas inhibitors against the CLK, DYRK, or CSNK1 kinases had no effect. In summary, these studies describe a coordinated approach to discover novel kinase inhibitors, evaluate their efficacy in 3D models, and define their specificity against the kinome.

Abstract IA23: Enhancer remodeling in response to MEK inhibition in TNBC

In contrast to acquired resistance to targeted therapeutics via genomic changes, adaptive resistance in cancer involves rapid cellular reprogramming at a nongenomic level. In triple-negative breast cancer (TNBC) a robust transcriptional adaptation to MEK inhibition (MEKi) by the MEK inhibitor, trametinib, is observed in both TNBC patients and preclinical models. This transcriptional adaptation includes upregulation of bypass signaling molecules, including receptor tyrosine kinases (RTKs), to reactivate cellular proliferation programs in the presence of the initial drug challenge.

Rather than attempting to antagonize RTK upregulation using a secondary kinase inhibitor in conjunction with the initial, primary targeted therapeutic, we have employed a strategy to broadly inhibit MEKi-induced transcriptional adaptation through the use of BET bromodomain inhibitors. BET protein family bromodomains bind to acetylated lysine moieties of histone subunits or transcription factors to regulate transcriptional elongation via recruitment of P-TEFb, a RNA polymerase II regulatory complex containing CDK9 and Cyclin T1. In TNBC we found the combination of MEKi + BET bromodomain inhibition (BETi) resulted in durable tumor cell growth inhibition not obtained with trametinib alone, nor with different kinase inhibitor combinations. Importantly, we observed in vivo MEKi + BETi synergy in orthotopic SUM159PT xenograft and T11 and 2225 mouse orthotopic syngeneic transplant models of TNBC. This synergism is not limited to TNBC, as we have shown that MEKi + BETi results in durable growth suppression in HER2+ breast cancer.

A central question is the mechanism of BETi efficacy in the context of suppressing adaptation to targeted therapeutics. We asked if BRD4 function at enhancers is critical for adaptive transcription in response to MEK1/2 inhibition by trametinib. We found vast chromatin remodeling in the form of de novo enhancer formation and remodeling in response to trametinib in TNBC cells. Enhancers with pronounced BRD4 density and co-occupied with prototypical enhancer marks (H3K27ac, MED1, H3K4me1) were rapidly (1-4 h) formed genome-wide, including at sites proximal to receptor tyrosine kinase loci including DDR1, KDR, FGFR2, and PDGFRB, each influential in TNBC adaptive resistance. Trametinib-responsive enhancers were remodeled across the genome, but with BETi the total number of enhancers remained near baseline. In fact, BETi was able to disrupt enhancers seeded in response to trametinib. We observed correlation of transcriptional induction of genes proximal to the enhancer density induced by trametinib and a corresponding correlative decrease in transcript levels of the cognate genes of the seeded enhancers with combination MEKi+BETi treatment.

Does the enhancer paradigm provide a potential source of pharmacologic targets for attenuating adaptive transcription beyond that of BRD4? In addition to BETi, we found that pharmacologic perturbation of CBP/p300 acetyltransferase, capable of depositing acetylation at H3K27 of enhancers, or core P-TEFb constituent CDK9 abrogated adaptive RTK upregulation elicited by MEKi. BRD4 directly associates with the transcriptional regulator JMJD6, a JmjC family demethylase, and, accordingly, the use of a pan-JmjC family demethylase inhibitor or siRNA targeting JMJD6 diminished RTK adaption. Similar response abrogation was achieved with depletion of the histone H3 lysine 36 methyltransferase NSD3 or by depleting CDK7, whose transcriptional regulatory activity is conferred by phosphorylation of its substrates including CDK9 and the carboxy-terminal domain (CTD) of RNA polymerase II. While small-molecule inhibitors are currently not yet available or are pre-phase I for many of these purported strategies to block adaptive resistance, our preclinical data suggest that protein complexes of drug-induced enhancers may be a largely untapped frontier of epigenetic targets to block adaptive bypass resistance to targeted therapies.

Citation Format: Jon Zawistowski, Samantha Bevill, Gary L. Johnson. Enhancer remodeling in response to MEK inhibition in TNBC [abstract]. In: Proceedings of the AACR Special Conference: Advances in Breast Cancer Research; 2017 Oct 7-10; Hollywood, CA. Philadelphia (PA): AACR; Mol Cancer Res 2018;16(8_Suppl):Abstract nr IA23.

Abstract B34: Novel synergistic combination therapies with BET bromodomain inhibitors in triple-negative breast cancer

Adaptive resistance to targeted cancer therapies is a universal problem in cancer treatment where tumor cells circumvent targeted pathway inhibition to reactivate growth signaling. In our previous work, we observed genome-wide enhancer remodeling following MEK inhibition (MEKi) capable of driving adaptive gene transcription in triple-negative breast cancer (TNBC). Adaptive enhancers were enriched for the BET bromodomain protein BRD4 and cotreatment with MEKi and BET inhibitor (JQ1) could durably suppress TNBC growth in multiple cell lines and preclinical mouse models. There are currently 10 BET inhibitors in clinical trials being tested as single agents across multiple tumor types including TNBC. There is also a growing body of preclinical literature using epigenetic inhibitors to block the adaptive ability of tumor cells in combination with multiple targeted therapies. This led us to screen for inhibitors that synergize with JQ1 to suppress growth of TNBC using a 176-compound library enriched for epigenetic and kinase inhibitors. We performed synergy screens in 6 TNBC cell lines across 6 doses of JQ1 and each library compound. Using the Bliss Independence model to assess synergy, we found that inhibition of MEK, CDK9, Aurora Kinase, CREBBP/P300, and BAZ2A/B was strongly synergistic with JQ1. BRD4, CDK9, and the acetyltransferase CREBBP/P300 are all members of the P-TEFb transcriptional elongation complex. When we performed additional synergy screens against the P300 bromodomain inhibitor CPI-637, we found a significant overlap in synergistic targets with the JQ1 screen including MEK, BET bromodomain proteins, ERK, Aurora Kinase, and CDK9. BAZ2A/B inhibition using the small-molecule inhibitor GSK2801, which targets the bromodomain of BAZ2A/B, synergized significantly stronger with JQ1 across all cell lines compared to CPI637. BAZ2A/B proteins are members of nucleosome remodeling complexes that mediate DNA silencing by aiding in recruitment of histone modifying enzymes. Ongoing studies seek to understand the role of BAZ2A/B and the mechanism of GSK2801 synergy with BET bromodomain inhibition using RNA sequencing and ChIP sequencing experiments. These results define novel targets that synergize with JQ1 to suppress tumor cell growth and illuminate additional mechanisms of transcriptional regulation driven by BET bromodomain proteins in TNBC.

Citation Format: Samantha M. Bevill, Noah Sciaky, Brian T. Golitz, Naim U. Rashid, Jon S. Zawistowski, Gary L. Johnson. Novel synergistic combination therapies with BET bromodomain inhibitors in triple-negative breast cancer [abstract]. In: Proceedings of the AACR Special Conference: Advances in Breast Cancer Research; 2017 Oct 7-10; Hollywood, CA. Philadelphia (PA): AACR; Mol Cancer Res 2018;16(8_Suppl):Abstract nr B34.

Abstract 4179: A novel approach for antimetastatic therapies against TNBC utilizing a physiologic suppressor

Metastatic progression of tumors is the major cause of death in patients with triple-negative breast cancer (TNBC). However, since metastasis is a multistep process, unraveling its complexity is a major challenge. One effective way of tackling this question is to study natural blockers of the metastatic process, metastasis suppressors, and identify the mechanisms by which they regulate metastasis. Raf kinase inhibitory protein (RKIP), a protein that regulates kinase activity, is a suppressor of TNBC metastasis. Although RKIP inhibits the activity of key kinases such as Raf-1, GRK2, NIK/IKK in cultured cells, the kinase targets of RKIP in tumors are not known. To address this question, we used a mass spectrometry approach involving inhibitor-conjugated beads to identify kinases that are downregulated by RKIP in human TNBC xenograft tumors. Our results identified a network of stress kinases targeted by RKIP, including kinases that have not been previously reported as RKIP targets. In order to unravel the effect of this stress network on metastatic gene expression, we investigated genes that correlate with RKIP expression in TCGA breast cancer patient data set. We identified prometastatic genes such as APC and DOCK4 as novel RKIP targets in in vitro and in vivo models of TNBC. We also demonstrated these genes are downstream of the RKIP-stress network. Finally, by using a high-throughput invasion assay, we developed a low-dose multidrug cocktail of small-molecule kinase inhibitors that mimic RKIP's antimetastatic role in TNBCs. Elucidating RKIP function at a systems level reveals the interplay between key metastatic signaling cascades, particularly in relation to cell motility and invasion. Our findings suggest that the low-dose multidrug combination that targets a network of stress kinases is a viable antimetastatic therapy for TNBC patients.

Citation Format: Ali Ekrem Yesilkanal, Daniel C. Rabe, Payal Tiwari, Casey Frankenberger, Gary L. Johnson, Marsha Rosner. A novel approach for antimetastatic therapies against TNBC utilizing a physiologic suppressor [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4179.

Abstract 2372: Kinome profiling of non-germline, genetically engineered mouse models of glioblastoma driven by Cdkn2a, Egfr, and/or Pten mutations reveals genotype-dependent kinase targets

The most attractive target for personalized medicine of glioblastoma (GBM) remains epidermal growth factor receptor (EGFR), due to its frequency in and specificity for the disease and the number of drugs that target its tyrosine kinase domain. Yet several EGFR tyrosine kinase inhibitors (TKI) have failed clinically, in part due to multiple molecular mechanisms of resistance. The most common oncogenic mutation in GBM is EGFRvIII, while the most common tumor suppressors lost are CDKN2A and PTEN. Mutations in these 3 genes frequently co-occur. To identify potentially attractive kinase targets for use in combination regiments with an EGFR TKI, we used multiplex inhibitor bead/mass spectrometry (MIB-MS) and RNA-seq to examine the baseline kinomes and transcriptomes of non-germline genetically engineered mouse (nGEM) models of GBM, specifically cultured Cdkn2a-null murine astrocytes (C) engineered to harbor human EGFRvIII (CEv3), Pten deletion (CP), or both (CEv3P). Among these 4 lines, 5.2-9.7% of the transcriptome was differentially expressed using DESeq2 at Q<0.001. Gene set analysis showed progressive loss of astrocyte and gain of stemness signatures in more heavily mutated cells (CEv3P>CEv3> CP>C), suggesting that EGFRvIII and Pten deletions cooperate to induce astrocyte de-differentiation into glioma stem cells (GSC). Principal components analysis showed a significant influence of both EGFRvIII (component 1, 44-48% variance) and Pten (component 2, ~33% variance) status on the transcriptome and kinome. Of the 228 expressed kinases detected using MIB-MS, 86 (38%) were differentially expressed in 1 or more genotypes. Integrated transcriptome and kinome analysis showed that Egfr was significantly over-expressed and hyperactive in EGFRvIII-mutated cells. Akt1 showed a non-expression driven increase in kinase activity in Pten-deleted cells, consistent with known effects of Pten on PI3K signaling. Pairwise genotype comparisons revealed 5-20 additional kinases that were differentially activated. Some, including Pdgfrb, Fgfr2, Lyn, Ddr1, and several members of the Ephrin family, represent potential targets for dual therapy with EGFR TKI. Clinically-curated human GBM patient-derived xenograft (PDX) models matched to CEv3P, CEv3, CP, and C nGEM models will afford comparisons in a patient-based preclinical setting for translational support. Functional kinome analysis using targeted EGFR TKI and MIB-MS in nGEM and PDX will help define the kinase networks required for EGFRvIII-driven GBM pathogenesis and may aid in the identification of novel treatment combinations.

Citation Format: Erin Smithberger, Alex R. Flores, Madison K. Butler, Harshil D. Dhruv, Gary L. Johnson, Michael E. Berens, Frank B. Furnari, C. Ryan Miller. Kinome profiling of non-germline, genetically engineered mouse models of glioblastoma driven by Cdkn2a, Egfr, and/or Pten mutations reveals genotype-dependent kinase targets [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2372.

Abstract 1633: Chemical proteomics identifies druggable proteins in ALK-driven neuroblastomas

The discovery of mutations in the ALK oncogene as the genetic etiology of familial neuroblastoma (NB) and as somatically acquired in 14% of patients with the most aggressive form of the disease has positioned ALK as the major tractable oncogene product for targeted therapy in NB. ALK tyrosine kinase domain mutations are found mostly at three hotspots (F1174, F1245 and R1275), with the F1174* and F1245* mutations conferring broad resistance to crizotinib. We have recently demonstrated that lorlatinib, a novel ATP-competitive macrocyclic ALK inhibitor, overcomes de novo resistance and exerts unprecedented activity as a single agent in patient-derived xenografts (PDXs) harboring F1174L or F1245C mutations, while also inducing durable responses in R1275Q xenografts. The objective of our work was to identify differences in reprogramming of the kinome upon ALK inhibition with crizotinib and lorlatinib. We hypothesize that identification of the targets through which lorlatinib mediates its superior anti-tumor effects will provide insights into the mechanisms by which full-length ALK inhibition abrogates tumorigenesis, activates compensatory pathways, and uncover novel targets to overcome resistance to ALK inhibition. We used Multiplexed Inhibitor Beads coupled with Mass Spectrometry (MIB/MS) to quantitatively measure kinase activity dynamics on a proteomic scale. Three PDX models harboring F1174L (COG-N-453x) or the other two most-common mutations, R1275Q (NB1643) and R1245C (Felix) were treated with either crizotinib (100 mg/kg/day) or lorlatinib (10 mg/kg/day) for 2.5 days or 6.5 days prior to MIB/MS analysis. Lorlatinib more potently inhibited ALK and preferentially inhibited a series of other tyrosine kinases, correlating with the superior efficacy of lorlatinib in pre-clinical studies. Moreover, a number of kinases involved in G2/M cell cycle transition including PLK1, CHEK1 and aurora kinases were significantly inhibited by lorlatinib, proposing that this multi-kinase inhibition is responsible for the robust anti-tumor activity observed in vivo with lorlatinib. We interrogated the role of SHP2, a ubiquitously expressed SH2 domain-containing tyrosine phosphatase recently implicated in the proliferation of receptor-tyrosine kinase driven cancers and shown to have a direct role in the G2/M checkpoint. Inhibition of ALK by treatment with lorlatinib as well as shRNA knockdown of ALK in SY5Y (ALK F1174L, PTPN11 T507K) and NB1643 NB cell lines showed decreased levels of pSHP2. Depletion of SHP2 using CRISPR constructs significantly inhibited cell proliferation in SY5Y, suggesting that SHP2 plays a crucial role in ALK driven NB. Additionally, knockdown of ALK in SY5Y downregulated PLK1 expression and arrested cells in G2/M phase. Whether SHP2 is regulated primarily downstream of ALK or jointly through alternative or compensatory signaling networks warrants further investigation.

Citation Format: Smita Matkar, Renata Sano, Colleen Larmour, Kateryna Krytska, Gabriela M. Witek, Mark Gerelus, Tim J. Stuhlmiller, Gary L. Johnson, Yael P. Mosse. Chemical proteomics identifies druggable proteins in ALK-driven neuroblastomas [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1633.

Combined kinase inhibitors of MEK1/2 and either PI3K or PDGFR are efficacious in intracranial triple-negative breast cancer

Background

Triple-negative breast cancer (TNBC), lacking expression of hormone and human epidermal growth factor receptor 2 receptors, is an aggressive subtype that frequently metastasizes to the brain and has no FDA-approved systemic therapies. Previous literature demonstrates mitogen-activated protein kinase kinase (MEK) pathway activation in TNBC brain metastases. Thus, we aimed to discover rational combinatorial therapies with MEK inhibition, hypothesizing that co-inhibition using clinically available brain-penetrant inhibitors would improve survival in preclinical models of TNBC brain metastases.

Methods

Using human-derived TNBC cell lines, synthetic lethal small interfering RNA kinase screens were evaluated with brain-penetrant inhibitors against MEK1/2 (selumetinib, AZD6244) or phosphatidylinositol-3 kinase (PI3K; buparlisib, BKM120). Mice bearing intracranial TNBC tumors (SUM149, MDA-MB-231Br, MDA-MB-468, or MDA-MB-436) were treated with MEK, PI3K, or platelet derived growth factor receptor (PDGFR; pazopanib) inhibitors alone or in combination. Tumors were analyzed by western blot and multiplexed kinase inhibitor beads/mass spectrometry to assess treatment effects.

Results

Screens identified MEK+PI3K and MEK+PDGFR inhibitors as tractable, rational combinations. Dual treatment of selumetinib with buparlisib or pazopanib was synergistic in TNBC cells in vitro. Both combinations improved survival in intracranial SUM149 and MDA-MB-231Br, but not MDA-MB-468 or MDA-MB-436. Treatments decreased mitogen-activated protein kinase (MAPK) and PI3K (Akt) signaling in sensitive (SUM149 and 231Br) but not resistant models (MDA-MB-468). Exploratory analysis of kinome reprogramming in SUM149 intracranial tumors after MEK ± PI3K inhibition demonstrates extensive kinome changes with treatment, especially in MAPK pathway members.

Conclusions

Results demonstrate that rational combinations of the clinically available inhibitors selumetinib with buparlisib or pazopanib may prove to be promising therapeutic strategies for the treatment of some TNBC brain metastases. Additionally, effective combination treatments cause widespread alterations in kinase pathways, including targetable potential resistance drivers.

Combination therapy with potent PI3K and MAPK inhibitors overcomes adaptive kinome resistance to single agents in preclinical models of glioblastoma

Background

Glioblastoma (GBM) is the most common and aggressive primary brain tumor. Prognosis remains poor despite multimodal therapy. Developing alternative treatments is essential. Drugs targeting kinases within the phosphoinositide 3-kinase (PI3K) and mitogen-activated protein kinase (MAPK) effectors of receptor tyrosine kinase (RTK) signaling represent promising candidates.

Methods

We previously developed a non-germline genetically engineered mouse model of GBM in which PI3K and MAPK are activated via Pten deletion and KrasG12D in immortalized astrocytes. Using this model, we examined the influence of drug potency on target inhibition, alternate pathway activation, efficacy, and synergism of single agent and combination therapy with inhibitors of these 2 pathways. Efficacy was then examined in GBM patient-derived xenografts (PDX) in vitro and in vivo.

Results

PI3K and mitogen-activated protein kinase kinase (MEK) inhibitor potency was directly associated with target inhibition, alternate RTK effector activation, and efficacy in mutant murine astrocytes in vitro. The kinomes of GBM PDX and tumor samples were heterogeneous, with a subset of the latter harboring MAPK hyperactivation. Dual PI3K/MEK inhibitor treatment overcame alternate effector activation, was synergistic in vitro, and was more effective than single agent therapy in subcutaneous murine allografts. However, efficacy in orthotopic allografts was minimal. This was likely due to dose-limiting toxicity and incomplete target inhibition.

Conclusion

Drug potency influences PI3K/MEK inhibitor-induced target inhibition, adaptive kinome reprogramming, efficacy, and synergy. Our findings suggest that combination therapies with highly potent, brain-penetrant kinase inhibitors will be required to improve patient outcomes.

Traditional and systems biology based drug discovery for the rare tumor syndrome neurofibromatosis type 2

Neurofibromatosis 2 (NF2) is a rare tumor suppressor syndrome that manifests with multiple schwannomas and meningiomas. There are no effective drug therapies for these benign tumors and conventional therapies have limited efficacy. Various model systems have been created and several drug targets have been implicated in NF2-driven tumorigenesis based on known effects of the absence of merlin, the product of the NF2 gene. We tested priority compounds based on known biology with traditional dose-concentration studies in meningioma and schwann cell systems. Concurrently, we studied functional kinome and gene expression in these cells pre- and post-treatment to determine merlin deficient molecular phenotypes. Cell viability results showed that three agents (GSK2126458, Panobinostat, CUDC-907) had the greatest activity across schwannoma and meningioma cell systems, but merlin status did not significantly influence response. In vivo, drug effect was tumor specific with meningioma, but not schwannoma, showing response to GSK2126458 and Panobinostat. In culture, changes in both the transcriptome and kinome in response to treatment clustered predominantly based on tumor type. However, there were differences in both gene expression and functional kinome at baseline between meningioma and schwannoma cell systems that may form the basis for future selective therapies. This work has created an openly accessible resource (www.synapse.org/SynodosNF2) of fully characterized isogenic schwannoma and meningioma cell systems as well as a rich data source of kinome and transcriptome data from these assay systems before and after treatment that enables single and combination drug discovery based on molecular phenotype.

Mass Spectrometry-Based Proteomics Reveals Potential Roles of NEK9 and MAP2K4 in Resistance to PI3K Inhibition in Triple-Negative Breast Cancers

Activation of PI3K signaling is frequently observed in triple-negative breast cancer (TNBC), yet PI3K inhibitors have shown limited clinical activity. To investigate intrinsic and adaptive mechanisms of resistance, we analyzed a panel of patient-derived xenograft models of TNBC with varying responsiveness to buparlisib, a pan-PI3K inhibitor. In a subset of patient-derived xenografts, resistance was associated with incomplete inhibition of PI3K signaling and upregulated MAPK/MEK signaling in response to buparlisib. Outlier phosphoproteome and kinome analyses identified novel candidates functionally important to buparlisib resistance, including NEK9 and MAP2K4. Knockdown of NEK9 or MAP2K4 reduced both baseline and feedback MAPK/MEK signaling and showed synthetic lethality with buparlisib in vitro A complex in/del frameshift in PIK3CA decreased sensitivity to buparlisib via NEK9/MAP2K4-dependent mechanisms. In summary, our study supports a role for NEK9 and MAP2K4 in mediating buparlisib resistance and demonstrates the value of unbiased omic analyses in uncovering resistance mechanisms to targeted therapy.Significance: Integrative phosphoproteogenomic analysis is used to determine intrinsic resistance mechanisms of triple-negative breast tumors to PI3K inhibition. Cancer Res; 78(10); 2732-46. ©2018 AACR.

Unexplored therapeutic opportunities in the human genome

A large proportion of biomedical research and the development of therapeutics is focused on a small fraction of the human genome. In a strategic effort to map the knowledge gaps around proteins encoded by the human genome and to promote the exploration of currently understudied, but potentially druggable, proteins, the US National Institutes of Health launched the Illuminating the Druggable Genome (IDG) initiative in 2014. In this article, we discuss how the systematic collection and processing of a wide array of genomic, proteomic, chemical and disease-related resource data by the IDG Knowledge Management Center have enabled the development of evidence-based criteria for tracking the target development level (TDL) of human proteins, which indicates a substantial knowledge deficit for approximately one out of three proteins in the human proteome. We then present spotlights on the TDL categories as well as key drug target classes, including G protein-coupled receptors, protein kinases and ion channels, which illustrate the nature of the unexplored opportunities for biomedical research and therapeutic development.

Unexplored therapeutic opportunities in the human genome

This corrects the article DOI: 10.1038/nrd.2018.14.

Proteomic analysis defines kinase taxonomies specific for subtypes of breast cancer

Multiplexed small molecule inhibitors covalently bound to Sepharose beads (MIBs) were used to capture functional kinases in luminal, HER2-enriched and triple negative (basal-like and claudin-low) breast cancer cell lines and tumors. Kinase MIB-binding profiles at baseline without perturbation proteomically distinguished the four breast cancer subtypes. Understudied kinases, whose disease associations and pharmacology are generally unexplored, were highly represented in MIB-binding taxonomies and are integrated into signaling subnetworks with kinases that have been previously well characterized in breast cancer. Computationally it was possible to define subtypes using profiles of less than 50 of the more than 300 kinases bound to MIBs that included understudied as well as metabolic and lipid kinases. Furthermore, analysis of MIB-binding profiles established potential functional annotations for these understudied kinases. Thus, comprehensive MIBs-based capture of kinases provides a unique proteomics-based method for integration of poorly characterized kinases of the understudied kinome into functional subnetworks in breast cancer cells and tumors that is not possible using genomic strategies. The MIB-binding profiles readily defined subtype-selective differential adaptive kinome reprogramming in response to targeted kinase inhibition, demonstrating how MIB profiles can be used in determining dynamic kinome changes that result in subtype selective phenotypic state changes.