Cytostatic Responses Research Articles

Computational Modeling of Drug Response Identifies Mutant-Specific Constraints for Dosing panRAF and MEK Inhibitors in Melanoma.

This study explores the potential of pre-clinical in vitro cell line response data and computational modeling in identifying the optimal dosage requirements of pan-RAF (Belvarafenib) and MEK (Cobimetinib) inhibitors in melanoma treatment. Our research is motivated by the critical role of drug combinations in enhancing anti-cancer responses and the need to close the knowledge gap around selecting effective dosing strategies to maximize their potential. In a drug combination screen of 43 melanoma cell lines, we identified specific dosage landscapes of panRAF and MEK inhibitors for NRAS vs. BRAF mutant melanomas. Both experienced benefits, but with a notably more synergistic and narrow dosage range for NRAS mutant melanoma (mean Bliss score of 0.27 in NRAS vs. 0.1 in BRAF mutants). Computational modeling and follow-up molecular experiments attributed the difference to a mechanism of adaptive resistance by negative feedback. We validated the in vivo translatability of in vitro dose-response maps by predicting tumor growth in xenografts with high accuracy in capturing cytostatic and cytotoxic responses. We analyzed the pharmacokinetic and tumor growth data from Phase 1 clinical trials of Belvarafenib with Cobimetinib to show that the synergy requirement imposes stricter precision dose constraints in NRAS mutant melanoma patients. Leveraging pre-clinical data and computational modeling, our approach proposes dosage strategies that can optimize synergy in drug combinations, while also bringing forth the real-world challenges of staying within a precise dose range. Overall, this work presents a framework to aid dose selection in drug combinations.

The Semaphorin 3A-Neuropilin-1 Pathway Promotes Clonogenic Growth of Glioblastoma via Activation of TGFβ Signaling.

Glioblastoma (GBM) is the most lethal brain cancer with a dismal prognosis. Stem-like GBM cells (GSCs) are a major driver of GBM propagation and recurrence, thus understanding the molecular mechanisms that promote GSCs may lead to effective therapeutic approaches. Through in vitro clonogenic growth-based assays, we determined mitogenic activities of the ligand molecules that are implicated in neural development. We have identified that Semaphorin 3A (Sema3A), originally known as an axon guidance molecule in the central nervous system, promotes clonogenic growth of GBM cells but not normal neural progenitor cells (NPCs). Mechanistically, Sema3A binds to its receptor Neuropilin-1 (NRP1) and facilitates an interaction between NRP1 and TGF receptor 1 (TGFR1), which in turn leads to activation of canonical TGF signaling in both GSCs and NPCs. TGF signaling enhances self-renewal and survival of GBM tumors through induction of key stem cell factors, but it evokes cytostatic responses in NPCs. Blockage of the Sema3A-NRP1 axis via shRNA-mediated knockdown of Sema3A or NRP1 impeded clonogenic growth and TGF pathway activity in GSCs and inhibited tumor growth in vivo. Taken together, these findings suggest that the Sema3A-NRP1-TGFR1 signaling axis is a critical regulator of GSC propagation and a potential therapeutic target for GBM.

PP2A-based triple-strike therapy overcomes mitochondrial apoptosis resistance in brain cancer cells.

Mitochondrial glycolysis and hyperactivity of the phosphatidylinositol 3-kinase-protein kinase B (AKT) pathway are hallmarks of malignant brain tumors. However, kinase inhibitors targeting AKT (AKTi) or the glycolysis master regulator pyruvate dehydrogenase kinase (PDKi) have failed to provide clinical benefits for brain tumor patients. Here, we demonstrate that heterogeneous glioblastoma (GB) and medulloblastoma (MB) cell lines display only cytostatic responses to combined AKT and PDK targeting. Biochemically, the combined AKT and PDK inhibition resulted in the shutdown of both target pathways and priming to mitochondrial apoptosis but failed to induce apoptosis. In contrast, all tested brain tumor cell models were sensitive to a triplet therapy, in which AKT and PDK inhibition was combined with the pharmacological reactivation of protein phosphatase 2A (PP2A) by NZ-8-061 (also known as DT-061), DBK-1154, and DBK-1160. We also provide proof-of-principle evidence for in vivo efficacy in the intracranial GB and MB models by the brain-penetrant triplet therapy (AKTi + PDKi + PP2A reactivator). Mechanistically, PP2A reactivation converted the cytostatic AKTi + PDKi response to cytotoxic apoptosis, through PP2A-elicited shutdown of compensatory mitochondrial oxidative phosphorylation and by increased proton leakage. These results encourage the development of triple-strike strategies targeting mitochondrial metabolism to overcome therapy tolerance in brain tumors.

Abstract P6-12-06: Neratinib vs. Trastuzumab plus Ribociclib in ERBB2-positive breast cancer: Preclinical mechanistic efficacy study

Abstract Background: Despite the wide-ranging clinical success of human epidermal growth factor receptor 2 (HER2)-directed therapies, many HER2-positive breast cancer patients eventually progress because of the development of primary or acquired resistance. PIK3CA is found often mutated in breast cancer (>30%, TCGA dataset) and responsible for HER2-directed treatment failure. Purpose: Inhibition of pan-tyrosine kinases of HER-receptors along with the blockade of estrogen receptor (ER) prevents the activation of downstream effectors and crosstalk between HER2 and ER, leading to tumor cell death. Similarly, the combined inhibition of HER2-receptor signaling with cell cycle arrest leads to efficient tumor cell apoptosis. Here, we evaluate the mechanistic efficacy and comparability of neratinib (N) (an irreversible pan-ERBB tyrosine kinase inhibitor) in combination with fulvestrant (F) against ribociclib (R) plus trastuzumab (T) in HER2-amplified breast cancer cells. Methods: HER2+ breast cancer cell lines with Rb- wild-type- BT474 (ER+), SKBR3 (ER-), and MDA-MB453 (ER-, PIK3CA mutated [H1047R]) were used for the study. Cells were treated with N+F (F added in ER+ cell line only) or R or T as a single-agent or combination and assessed for real-time proliferation, 3D ON-TOP assay, changes in mitochondrial potential, and apoptosis. Cells treated with R and/or T were additionally examined for cell cycle arrest and changes in CDK4 mRNA transcription. Baseline CCND1 mRNA transcripts were quantified by RT-qPCR. Immunohistochemistry was used to assess baseline BCL2 expression in HER2+ tumor microarrays (TMA). Western blot was used to evaluate the effects on key downstream signaling proteins in response to the above treatment or combination. Results: High CCND1 expression was found in HER2+ cell lines that show promise for CDK4/6 inhibition. High BCL2 expression was found in HER2+ TMA that confirmed the natural resistance to programmed cell death. BT474 and MDA-MB453 were highly sensitive to N (+F), and high growth inhibition was evident at lower doses (< 20 nM). SKBR3 was comparatively less sensitive to N monotherapy and required dosing >160 nM to induce marked cell death. BT474 and MDA-MB453 had pronounced cytostatic responses to R or T+R, while a moderate response was observed in SKBR3. Substantial reduction in CDK4 transcription was noted following R or R+T treatment in MDA-MB453/BT474 but not in SKBR3. Apoptosis assays confirmed enhanced cell death with the R+T combination in BT474 and MDA-MB453 but not in SKBR3. Inhibition of key downstream oncogenic signaling (p-AKT/p-S6RP/p-ERK) was more evident with N compared to R, T, or R+T combination. Attenuated p-Rb expression (Ser 780 & Ser 807/811) was detected in all cell lines from R administration, indicating interruption in cell cycle progression. Conclusion: Mechanistically, N+F was superior to T+R in terms of inhibition of HER2 and its downstream signaling in the HER2+/ER+ BC model. N+F induced significantly more apoptosis and inhibited cell proliferation compared to T+R. Additionally, N monotherapy was highly effective in HER2-amplified/ER-negative breast cancer cells with PIK3CA mutation. Citation Format: Nischal Koirala, Jennifer Aske, Xiaoqian Lin, Nandini Dey, Pradip De. Neratinib vs. Trastuzumab plus Ribociclib in ERBB2-positive breast cancer: Preclinical mechanistic efficacy study [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 P6-12-06.

Multiparametric Tumor Organoid Drug Screening Using Widefield Live-Cell Imaging for Bulk and Single-Organoid Analysis.

Patient-derived tumor organoids (PDTOs) hold great promise for preclinical and translational research and predicting the patient therapy response from ex vivo drug screenings. However, current adenosine triphosphate (ATP)-based drug screening assays do not capture the complexity of a drug response (cytostatic or cytotoxic) and intratumor heterogeneity that has been shown to be retained in PDTOs due to a bulk readout. Live-cell imaging is a powerful tool to overcome this issue and visualize drug responses more in-depth. However, image analysis software is often not adapted to the three-dimensionality of PDTOs, requires fluorescent viability dyes, or is not compatible with a 384-well microplate format. This paper describes a semi-automated methodology to seed, treat, and image PDTOs in a high-throughput, 384-well format using conventional, widefield, live-cell imaging systems. In addition, we developed viability marker-free image analysis software to quantify growth rate-based drug response metrics that improve reproducibility and correct growth rate variations between different PDTO lines. Using the normalized drug response metric, which scores drug response based on the growth rate normalized to a positive and negative control condition, and a fluorescent cell death dye, cytotoxic and cytostatic drug responses can be easily distinguished, profoundly improving the classification of responders and non-responders. In addition, drug-response heterogeneity can by quantified from single-organoid drug response analysis to identify potential, resistant clones. Ultimately, this method aims to improve the prediction of clinical therapy response by capturing a multiparametric drug response signature, which includes kinetic growth arrest and cell death quantification.

A [Pt(cis-1,3-diaminocycloalkane)Cl2] analog exhibits hallmarks typical of immunogenic cell death inducers in model cancer cells

The platinum drugs belong to prevailing chemotherapeutics used in the treatment of cancer. At present, however, the search for new anticancer metal-based drugs that operate by the mechanisms distinct from those of the conventional chemotherapeutics is very active. Furthermore, it has been demonstrated that cytotoxic chemotherapy and immunotherapy may exert a highly synergistic anticancer activity. Thus, the development of antitumor platinum and other metal-based drugs that exhibit cytostatic effects and concurrently elicit immunogenic cell death (ICD) has shown promise for cancer treatment. Notably, conventional platinum drug oxaliplatin ([Pt(1R,2R-DACH)(oxalate)], DACH = diaminocyclohexane) is a well-known agent that displays both cytostatic and immune responses. Moreover, it was also demonstrated that even minor derivatization of the unleaving cycloalkyl moiety in oxaliplatin might have a pronounced effect on its immunomodulatory activity. Here, we investigated how replacing the 1R,2R- diaminocyclohexane ring by 1,3-diaminocycloalkane (alkane = butane, pentane, or hexane) affects the ability to evoke secretion of damage-associated molecular patterns characteristic of ICD in model murine colorectal carcinoma cell line CT26. The results indicate that among the investigated [Pt(cis-1,3-diaminocycloalkane)Cl2] complexes, the complex containing the cyclobutyl moiety exhibits the hallmarks typical of ICD inducers. Thus, [Pt(cis-1,3-diaminocyclobutane)Cl2] may expand the spectrum of anticancer chemotherapeutics capable of inducing ICD in cancer cells and might be of interest for further (pre)clinical development.

Systematic Analysis of Cytostatic TGF-Beta Response in Mesenchymal-Like Hepatocellular Carcinoma Cell Lines.

Hepatocellular carcinoma (HCC) is one of the most challenging malignancies, with high morbidity and mortality rates. The transforming growth factor-β (TGF-β) pathway plays a dual role in HCC, acting as both tumor suppressor and promoter. A thorough understanding of the mechanisms underlying its opposing functions is important. The growth suppressive effects of TGF-β remain largely unknown for mesenchymal HCC cells. Using a systematic approach, here we assess the cytostatic TGF-β responses and intracellular transduction of the canonical TGF-β/Smad signaling cascade in mesenchymal-like HCC cell lines. Nine mesenchymal-like HCC cell lines, including SNU182, SNU387, SNU398, SNU423, SNU449, SNU475, Mahlavu, Focus, and Sk-Hep1, were used in this study. The cytostatic effects of TGF-β were evaluated by cell cycle analysis, BrdU labeling, and SA-β-Gal assay. RT-PCR and western blot analysis were utilized to determine the mRNA and protein expression levels of TGF-β signaling components and cytostatic genes. Immunoperoxidase staining and luciferase reporter assays were performed to comprehend the transduction of the canonical TGF-β pathway. We report that mesenchymal-like HCC cell lines are resistant to TGF-β-induced growth suppression. The vast majority of cell lines have an active canonical signaling from the cell membrane to the nucleus. Three cell lines had lost the expression of cytostatic effector genes. Our findings reveal that cytostatic TGF-β responses have been selectively lost in mesenchymal-like HCC cell lines. Notably, their lack of responsiveness was not associated with a widespread impairment of TGF-β signaling cascade. These cell lines may serve as valuable models for studying the molecular mechanisms underlying the loss of TGF-β-mediated cytostasis during hepatocarcinogenesis.

Targeting NAD+ Biosynthesis Overcomes Panobinostat and Bortezomib-Induced Malignant Glioma Resistance

To improve therapeutic responses in patients with glioma, new combination therapies that exploit a mechanistic understanding of the inevitable emergence of drug resistance are needed. Intratumoral heterogeneity enables a low barrier to resistance in individual patients with glioma. We reasoned that targeting two or more fundamental processes that gliomas are particularly dependent upon could result in pleiotropic effects that would reduce the diversity of resistant subpopulations allowing convergence to a more robust therapeutic strategy. In contrast to the cytostatic responses observed with each drug alone, the combination of the histone deacetylase inhibitor panobinostat and the proteasome inhibitor bortezomib synergistically induced apoptosis of adult and pediatric glioma cell lines at clinically achievable doses. Resistance that developed was examined using RNA-sequencing and pharmacologic screening of resistant versus drug-naïve cells. Quinolinic acid phosphoribosyltransferase (QPRT), the rate-determining enzyme for de novo synthesis of NAD+ from tryptophan, exhibited particularly high differential gene expression in resistant U87 cells and protein expression in all resistant lines tested. Reducing QPRT expression reversed resistance, suggesting that QPRT is a selective and targetable dependency for the panobinostat-bortezomib resistance phenotype. Pharmacologic inhibition of either NAD+ biosynthesis or processes such as DNA repair that consume NAD+ or their simultaneous inhibition with drug combinations, specifically enhanced apoptosis in treatment-resistant cells. Concomitantly, de novo vulnerabilities to known drugs were observed. IMPLICATIONS: These data provide new insights into mechanisms of treatment resistance in gliomas, hold promise for targeting recurrent disease, and provide a potential strategy for further exploration of next-generation inhibitors.

Combined inhibition of the PI3K/mTOR/MEK pathway induces Bim/Mcl-1-regulated apoptosis in pancreatic cancer cells

ABSTRACTPancreatic ductal adenocarcinoma (PDAC) progression and chemotherapy insensitivity have been associated with aberrant PI3K/mTOR/MEK signalling. However, cell death responses activated by inhibitors of these pathways can differ – contextually varying with tumour genetic background. Here, we demonstrate that combining the dual PI3K/mTOR inhibitor PF5212384 (PF384) and MEK inhibitor PD325901 (PD901) more effectively induces apoptosis compared with either agent alone, independent of KRAS mutational status in PDAC cell lines. Additionally, a non-caspase dependent decrease in cell viability upon PF384 treatment was observed, and may be attributed to autophagy and G0/G1 cell cycle arrest. Using reverse phase protein arrays, we identify key molecular events associated with the conversion of cytostatic responses (elicited by single inhibitor treatments) into a complete cell death response when PF384 and PD901 are combined. This response was also independent of KRAS mutation, occurring in both BxPC3 (KRAS wildtype) and MIA-PaCa-2 (KRASG12C mutated) cells. In both cell lines, Bim expression increased in response to PF384/PD901 treatment (by 60% and 48%, respectively), while siRNA-mediated silencing of Bim attenuated the apoptosis induced by combination treatment. In parallel, Mcl-1 levels decreased by 36% in BxPC3, and 30% in MIA-PaCa-2 cells. This is consistent with a functional role for Mcl-1, and siRNA-mediated silencing enhanced apoptosis in PF384/PD901-treated MIA-PaCa-2 cells, whilst Mcl-1 overexpression decreased apoptosis induction by 24%. Moreover, a novel role was identified for PDCD4 loss in driving the apoptotic response to PF384/PD901 in BxPC3 and MIA-PaCa-2 cell lines. Overall, our data indicates PF384/PD901 co-treatment activates the same apoptotic mechanism in wild-type or KRAS mutant PDAC cells.

Abstract P2-07-03: Systematic characterization of kinase inhibitors reveals heterogeneity in responses by class and cell line

Abstract Several publications have addressed concerns surrounding drug response screens by pointing out sources of variability and by presenting recommendations for better experimental methods and more robust analytical approaches. In the presented profiling effort, we integrated the latest advances in drug response measurement and focused on data diversity and quality rather than on breadth. We selected 32 breast cancer cell lines with a strong bias towards triple negative lines as well as 4 cell lines established from relevant patient-derived xenografts. We evaluated a panel of clinically relevant kinase inhibitors using a microscopy-based dose response assay to measure drug potency, and to quantify drug efficacy in terms of growth inhibition (GR metrics) and cell death. The use of the GR metrics to quantify drug sensitivity enabled us to identify and study differences between cytostatic and cytotoxic responses. This systematic dose response dataset is complemented by measurements of baseline transcript expression levels by mRNAseq, quantification of absolute abundance of ˜12,000 proteins, and relative phosphoprotein levels by shotgun mass spectrometry across all cell lines. Additionally, the baseline activity of transcription factors and kinases were inferred from the mRNA (using VIPER) and phosphoprotein (using kinase enrichment analysis) data, respectively. The complementarity of these multi-omics data has allowed us to address questions about the landscape of breast cancer cell lines such as: Where do the patient-derived lines lay relative to the conventional cell lines? How consistent are the landscapes defined by each dataset? How does integration across datasets provide mechanistic insight into signaling pathways that are active in each cancer subtypes? The measured and inferred baseline data were used to build predictors of the observed drug responses with the goal of identifying the biological processes responsible for the differences in sensitivity across drugs and cell lines. Overall the dataset that has been collected is a valuable resource for understanding drug response in triple negative breast cancer, and the molecular mechanisms that influence it. Citation Format: Mills CE, Subramanian K, Hafner M, Chung M, Boswell SA, Everley RA, Juric D, Sorger PK. Systematic characterization of kinase inhibitors reveals heterogeneity in responses by class and cell line [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P2-07-03.

New Tirucallane-Type Triterpenoids from Guarea guidonia.

The aerial parts of Guarea guidonia afforded three new tirucallane-type triterpenoids: 3,4-seco-tirucalla-4(28),8(9),24(25)-trien-7α,11α-dihydroxy-21,23-epoxy-3,11-olide, named guareolide (1: ), 3,4-seco-tirucalla-4(28),7(8),24(25)-trien-21-hydroxy-21,23-epoxy-3-oic acid, named guareoic acid A (2: ), and 3,4-seco-tirucalla-4(28),7(8),24(25)-trien-21,23-epoxy-3-oic acid, named guareoic acid B (3: ), of which 1: possessed an unusual seven-membered lactone ring. Seven known terpenes were also isolated and characterized as flindissone, 7-acetyldihydronomilin, picroquassin E, boscartol C, and cneorubins A, B, and X. Their structures were determined by spectroscopic methods including one-dimensional and two-dimensional nuclear magnetic resonance analysis and high-resolution mass spectrometry. The isolates were investigated for their potential cytotoxic activity on Jurkat, HeLa, and MCF7 cancer cell lines. Flindissone and compound 2: showed an antiproliferative activity in all cell lines. Further studies revealed that flindissone, the most active compound, induced in Jurkat and HeLa cells both cytostatic and cytotoxic responses.

Snail mediates crosstalk between TGFβ and LXRα in hepatocellular carcinoma.

Understanding the complexity of changes in differentiation and cell survival in hepatocellular carcinoma (HCC) is essential for the design of new diagnostic tools and therapeutic modalities. In this context, we have analyzed the crosstalk between transforming growth factor β (TGFβ) and liver X receptor α (LXRα) pathways. TGFβ is known to promote cytostatic and pro-apoptotic responses in HCC, and to facilitate mesenchymal differentiation. We here demonstrate that stimulation of the nuclear LXRα receptor system by physiological and clinically useful agonists controls the HCC response to TGFβ. Specifically, LXRα activation antagonizes the mesenchymal, reactive oxygen species and pro-apoptotic responses to TGFβ and the mesenchymal transcription factor Snail mediates this crosstalk. In contrast, LXRα activation and TGFβ cooperate in enforcing cytostasis in HCC, which preserves their epithelial features. LXRα influences Snail expression transcriptionally, acting on the Snail promoter. These findings propose that clinically used LXR agonists may find further application to the treatment of aggressive, mesenchymal HCCs, whose progression is chronically dependent on autocrine or paracrine TGFβ.

Modeling Cytostatic and Cytotoxic Responses to New Treatment Regimens for Ovarian Cancer.

The margin for optimizing polychemotherapy is wide, but a quantitative comparison of current and new protocols is rare even in preclinical settings. In silico reconstruction of the proliferation process and the main perturbations induced by treatment provides insight into the complexity of drug response and grounds for a more objective rationale to treatment schemes. We analyzed 12 treatment groups in trial on an ovarian cancer xenograft, reproducing current therapeutic options for this cancer including one-, two-, and three-drug schemes of cisplatin (DDP), bevacizumab (BEV), and paclitaxel (PTX) with conventional and two levels ("equi" and "high") of dose-dense schedules. All individual tumor growth curves were decoded via separate measurements of cell death and other antiproliferative effects, gaining fresh insight into the differences between treatment options. Single drug treatments were cytostatic, but only DDP and PTX were also cytotoxic. After treatment, regrowth stabilized with increased propensity to quiescence, particularly with BEV. More cells were killed by PTX dose-dense-equi than with PTX conventional, but with the addition of DDP, cytotoxicity was similar and considerably less than expected from that of individual drugs. In the DDP/PTX dose-dense-high scheme, both cell death and regrowth impairment were intensified enough to achieve complete remission, and addition of BEV increased cell death in all schemes. The results support the option for dose-dense PTX chemotherapy with active single doses, showing the relative additional contribution of BEV, but also indicate negative drug interactions in concomitant DDP/PTX treatments, suggesting that sequential schedules could improve antitumor efficacy. Cancer Res; 77(23); 6759-69. ©2017 AACR.

Cytotoxic triterpenes from Salvia buchananii roots

A pentacyclic triterpene, named salvibuchanic acid (1), together with five known compounds, were isolated from the roots of Salvia buchananii Hedge (Lamiaceae). The structural characterisation of all compounds was performed by spectroscopic analyses, including 1D and 2D NMR and HRESIMS experiments. The lupane triterpene (1) and hyptadienic acid (2) were investigated for their potential cytotoxic activity on Jurkat, HeLa and MCF7 cell lines. Both compounds showed an interesting antiproliferative activity with similar potency in all cell lines. By means of flow cytometric studies, hyptadienic acid (2) induced in HeLa cells a S cell cycle block, while 1 elicited both cytostatic and cytotoxic responses.

Abstract 2385: Systematic characterization of kinase inhibitors reveals heterogeneity in responses by class and cell line

Abstract Several publications have addressed concerns surrounding drug response screens by pointing out sources of variability and by presenting recommendations for better experimental methods and more robust analytical approaches. In the presented profiling effort, we integrated the latest advances in drug response measurement and focused on data diversity and quality rather than on breadth. We selected 32 breast cancer cell lines with a strong bias towards triple negative lines as well as 4 cell lines established from relevant patient-derived xenografts. We evaluated a panel of clinically relevant kinase inhibitors using a microscopy-based drug response assay to measure drug potency, and to quantify drug efficacy in terms of growth inhibition (GR metrics) and cell death. The use of the GR metrics to quantify drug sensitivity enabled us to identify and study differences between cytostatic and cytotoxic responses. This systematic dose response dataset is complemented by measurements of baseline mRNA expression levels by RNAseq and endogenous protein levels by shotgun mass spectrometry across all cell lines. The completeness and controlled conditions under which these data sets were collected provide confidence in their integration. The baseline RNA and protein expression levels were used to build predictors of the measured drug responses with the goal of identifying the biological processes responsible for the differences in sensitivity across drugs and cell lines. Differences in the phenotypic responses of cell lines to kinase inhibitors with the same nominal targets have been investigated, and associated with variable inhibitor polypharmacology. Citation Format: Caitlin E. Mills, Marc Hafner, Dejan Juric, Peter K. Sorger. Systematic characterization of kinase inhibitors reveals heterogeneity in responses by class and cell line [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2385. doi:10.1158/1538-7445.AM2017-2385

Different Concentrations of Titanium Dioxide Nanoparticles Induce Autophagy Followed by Growth Inhibition or Cell Death in A375 Melanoma Cells

: Dysregulation of autophagy is currently known as a contributing factor to tumorigenesis. Accordingly, exploring novel compounds with autophagy - modulating properties is a priority in cancer research. While a number of synthetic compounds have been developed, autophagy - modulating Nanoparticles (NPs), such as titanium dioxide (TiO2), have been recently considered. This research investigated the effects of a well - dispersed form of TiO2 NPs on autophagic vesicle formation in human melanoma A375 cells. The cells were treated with different concentrations of TiO2 NPs (1 - 100 µg/mL) for 24 hours, then growth, cell death, and autophagy were, respectively, evaluated by trypan blue exclusion test, MTT assay, and acridine orange staining. The results showed that well - dispersed TiO2 NPs induced growth inhibition in a dose dependent manner, while cell death was only observed at high concentrations (100 µg/mL). In addition, a significant increase in Acidic Vesicular Organelles (AVO) formation was detected at all concentrations of NPs after 24 hours, suggesting that TiO2 NPs may induce both cytostatic and cytotoxic autophagic responses, depending on the concentration.

High-Order Drug Combinations Are Required to Effectively Kill Colorectal Cancer Cells

Like classical chemotherapy regimens used to treat cancer, targeted therapies will also rely upon polypharmacology, but tools are still lacking to predict which combinations of molecularly targeted drugs may be most efficacious. In this study, we used image-based proliferation and apoptosis assays in colorectal cancer cell lines to systematically investigate the efficacy of combinations of two to six drugs that target critical oncogenic pathways. Drug pairs targeting key signaling pathways resulted in synergies across a broad spectrum of genetic backgrounds but often yielded only cytostatic responses. Enhanced cytotoxicity was observed when additional processes including apoptosis and cell cycle were targeted as part of the combination. In some cases, where cell lines were resistant to paired and tripled drugs, increased expression of antiapoptotic proteins was observed, requiring a fourth-order combination to induce cytotoxicity. Our results illustrate how high-order drug combinations are needed to kill drug-resistant cancer cells, and they also show how systematic drug combination screening together with a molecular understanding of drug responses may help define optimal cocktails to overcome aggressive cancers. Cancer Res; 76(23); 6950-63. ©2016 AACR.

New sesquiterpene lactones from Ambrosia cumanensis Kunth

Eleven sesquiterpene lactones, including three new natural products (1–3), were isolated from the n-butanolic extract of Ambrosia cumanensis Kunth. aerial parts. The structure of all isolated compounds was elucidated by 1D- and 2D-NMR, and MS analyses. All compounds were tested for their antiproliferative activity on HeLa, Jurkat, and U937 cell lines. Compound 3, 2,3-dehydropsilostachyn C, showed cytotoxic activity with different potency in all cell lines. By means of flow cytometric studies, compound 3 was demonstrated to induce in Jurkat cells a G2/M cell cycle block, while in U937 elicited both cytostatic and cytotoxic responses.

A high-content image-based method for quantitatively studying context-dependent cell population dynamics.

Tumor progression results from a complex interplay between cellular heterogeneity, treatment response, microenvironment and heterocellular interactions. Existing approaches to characterize this interplay suffer from an inability to distinguish between multiple cell types, often lack environmental context, and are unable to perform multiplex phenotypic profiling of cell populations. Here we present a high-throughput platform for characterizing, with single-cell resolution, the dynamic phenotypic responses (i.e. morphology changes, proliferation, apoptosis) of heterogeneous cell populations both during standard growth and in response to multiple, co-occurring selective pressures. The speed of this platform enables a thorough investigation of the impacts of diverse selective pressures including genetic alterations, therapeutic interventions, heterocellular components and microenvironmental factors. The platform has been applied to both 2D and 3D culture systems and readily distinguishes between (1) cytotoxic versus cytostatic cellular responses; and (2) changes in morphological features over time and in response to perturbation. These important features can directly influence tumor evolution and clinical outcome. Our image-based approach provides a deeper insight into the cellular dynamics and heterogeneity of tumors (or other complex systems), with reduced reagents and time, offering advantages over traditional biological assays.

Abstract 1311: High order drug combinations are required to effectively kill colorectal cancer cells

Abstract Tumors are complex biological systems that often retain proliferative capacity even when challenged with drug treatment. Given this resiliency, drug combinations may provide greater therapeutic benefit, however, which molecules to combine and how many to include in combinations for effective responses is not clear yet. Using image-based proliferation and apoptosis assays in colorectal cancer cell lines we systematically investigated combinations that ranged in number from two to six drugs and targeted critical oncogenic pathways. Drug pairs targeting key signaling pathways resulted in synergies across a broad spectrum of genetic backgrounds, but often yielded only cytostatic responses. Enhanced cytotoxicity was observed when additional processes including apoptosis and cell cycle were targeted as part of the combination. In many cases, where cell lines were resistant to two- and three-way drug combinations, increased expression of anti-apoptotic proteins was observed and induction of cytotoxic responses required up to fourth-order combinations. Our results demonstrate that high-order drug combinations might be needed to kill cancers and show how systematic drug combination screening together with a molecular understanding of drug responses can guide their identification. Citation Format: Thomas Horn, Stephane Ferretti, Nicolas Ebel, Angela Tam, Samuel Ho, Fred Harbinski, Ali Farsidjani, Matt Zubrowski, William R. Sellers, Robert Schlegel, Dale Porter, Erick Morris, Jens Wuerthner, Sebastien Jeay, Joel Greshock, Ensar Halilovic, Levi A. Garraway, Giordano Caponigro, Joseph Lehar. High order drug combinations are required to effectively kill colorectal cancer cells. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 1311.