miR-335 Targets SIAH2 and Confers Sensitivity to Anti-Cancer Drugs by Increasing the Expression of HDAC3

We previously reported the role of histone deacetylase 3 (HDAC3) in response to anti-cancer drugs. The decreased expression of HDAC3 in anti-cancer drug-resistant cancer cell line is responsible for the resistance to anti-cancer drugs. In this study, we investigated molecular mechanisms associated with regulation of HDAC3 expression. MG132, an inhibitor of proteasomal degradation, induced the expression of HDAC3 in various anti-cancer drug-resistant cancer cell lines. Ubiquitination of HDAC3 was observed in various anti-cancer drug-resistant cancer cell lines. HDAC3 showed an interaction with SIAH2, an ubiquitin E3 ligase, that has increased expression in various anti-cancer drug-resistant cancer cell lines. miRNA array analysis showed the decreased expression of miR-335 in these cells. Targetscan analysis predicted the binding of miR-335 to the 3′-UTR of SIAH2. miR-335-mediated increased sensitivity to anti-cancer drugs was associated with its effect on HDAC3 and SIAH2 expression. miR-335 exerted apoptotic effects and inhibited ubiquitination of HDAC3 in anti-cancer drug-resistant cancer cell lines. miR-335 negatively regulated the invasion, migration, and growth rate of cancer cells. The mouse xenograft model showed that miR-335 negatively regulated the tumorigenic potential of cancer cells. The down-regulation of SIAH2 conferred sensitivity to anti-cancer drugs. The results of the study indicated that the miR-335/SIAH2/HDAC3 axis regulates the response to anti-cancer drugs.     

RB1 Status in Triple Negative Breast Cancer Cells Dictates Response to Radiation Treatment and Selective Therapeutic Drugs

Triple negative breast cancer (TNBC) includes basal-like and claudin-low subtypes for which only chemotherapy and radiation therapy are currently available. The retinoblastoma (RB1) tumor suppressor is frequently lost in human TNBC. Knockdown of RB1 in luminal BC cells was shown to affect response to endocrine, radiation and several antineoplastic drugs. However, the effect of RB1 status on radiation and chemo-sensitivity in TNBC cells and whether RB1 status affects response to divergent or specific treatment are unknown. Using multiple basal-like and claudin-low cell lines, we hereby demonstrate that RB-negative TNBC cell lines are highly sensitive to gamma-irradiation, and moderately more sensitive to doxorubicin and methotrexate compared to RB-positive TNBC cell lines. In contrast, RB1 status did not affect sensitivity of TNBC cells to multiple other drugs including cisplatin (CDDP), 5-fluorouracil, idarubicin, epirubicin, PRIMA-1^met, fludarabine and PD-0332991, some of which are used to treat TNBC patients. Moreover, a non-biased screen of ∼3400 compounds, including FDA-approved drugs, revealed similar sensitivity of RB-proficient and -deficient TNBC cells. Finally, ESA⁺/CD24^−/low/CD44⁺ cancer stem cells from RB-negative TNBC lines were consistently more sensitive to gamma-irradiation than RB-positive lines, whereas the effect of chemotherapy on the cancer stem cell fraction varied irrespective of RB1 expression. Our results suggest that patients carrying RB-deficient TNBCs would benefit from gamma-irradiation as well as doxorubicin and methotrexate therapy, but not necessarily from many other anti-neoplastic drugs.     

Targeted intracellular site-specific drug delivery: photosensitizer targeting to melanoma cell nuclei

A number of drugs are regarded as possessing local activity because their effects take place at an extremely short distance from their location site in the cell. The response of different cellular compartments to these effects is different. Such substances as photosensitizers (PSs), which are used in photodynamic cancer therapy, should be targeted to the cell compartments where their effect is the most pronounced. This study describes the construction and properties of the chimeric modular recombinant transporters (MRTs) expressed in Escherichia coli and used for PS targeting. These constructs include (1) the alpha-melanocyte-stimulating hormone as a ligand module, which is internalized by the target cells (mouse melanoma); (2) the optimized SV40 large T-antigen nuclear localization signal; (3) the hemoglobin-like protein from E. coli as a carrier module; (4) the endosomolytic module, the translocation domain of the diphtheria toxin. These MRTs were used for PS targeting to the mouse melanoma cell nuclei, the most PS-damaged intracellular compartment, which resulted in a PS photocytotoxic effect increase of several orders of magnitude. In our opinion, MRTs, which target locally active drugs into the desired cell compartment and thereby enhance the drug response, represent a new generation of the pharmacological agents.     

The effect of intracellular ascorbate on the susceptibility of HL60 and Jurkat cells to chemotherapy agents

Chemotherapy agents initiate tumour cell apoptosis and this is thought to involve oxidative stress. In this study we have investigated the effect of the important antioxidant Vitamin C (ascorbate) on the response of HL60 and Jurkat cells to three chemotherapy drugs, namely etoposide, melphalan and arsenic trioxide (As₂O₃). Cells grown in routine culture media are deficient in ascorbate and to determine its effect on chemotherapy drug-induced apoptosis we supplemented the cells prior to drug exposure. We found that ascorbate had a varied effect on apoptosis and cell cycle progression. Etoposide-induced apoptosis in HL60 cells was significantly increased in ascorbate-loaded cells as measured by caspase-3 activation and DNA degradation, and this appeared to reflect a decrease in the number of necrotic cells rather than increased cytotoxicity. In contrast, ascorbate had no effect on etoposide-induced apoptosis in Jurkat cells. In both cell types melphalan-induced apoptosis was unaffected by intracellular ascorbate, whereas both apoptosis and growth arrest with low concentrations of As₂O₃ were diminished. These results indicate that intracellular ascorbate can affect cell responses to chemotherapy drugs in a complex and somewhat unpredictable manner and that it may play an important role in the responsiveness of tumour cells to chemotherapy regimes. This study was supported by the Health Research Council of New Zealand.     

Similarity of behaviour of granule cells in hippocampus to that predicted by informon theory

In a “population” experiment on potentiation in hippocampus a large electrode in the perforant path (pp) stimulates granule cells which in turn excite basket cells; basket cells inhibit granule cells. A large electrode in the molecular layer among synapses from pp to granule cells records a “population EPSP”; if the electrode is placed in the granule cell body layer it records a “population spike” which is related to the discharge rate of granule cells. In the simulation of a granule/basket cell pair previously described the corresponding theoretical quantities are “postsynaptic state” and “internal state of the neurone” which determines its discharge rate.Experimental and theoretical waveforms in response to pp stimulation are compared; they agree reasonably well over a wide range of stimulus frequency and duration. The theory offers an explanation of some of the experimental waveforms.A prediction is made; some drugs increase and some drugs decrease the effectiveness of inhibitory synapses. A drug which increases the inhibitory effect of basket cells should, as a long term effect, increase the potentiation of the variable synapses from pp to granule cells and conversely, drugs which decrease inhibition should decrease potentiation.     

Targeted Intracellular Site-Specific Drug Delivery: Photosensitizer Targeting to Melanoma Cell Nuclei

A number of drugs are regarded as possessing local activity because their effects take place at an extremely short distance from their location site in the cell. The response of different cellular compartments to these effects is different. Such substances as photosensitizers (PSs), which are used in photodynamic cancer therapy, should be targeted to the cell compartments where their effect is the most pronounced. This study describes the construction and properties of the chimeric modular recombinant transporters (MRTs) expressed in Escherichia coli and used for PS targeting. These constructs include (1) the -melanocyte-stimulating hormone as a ligand module, which is internalized by the target cells (mouse melanoma); (2) the optimized SV40 large T-antigen nuclear localization signal; (3) the hemoglobin-like protein from E. coli as a carrier module; (4) the endosomolytic module, the translocation domain of the diphtheria toxin. These MRTs were used for PS targeting to the mouse melanoma cell nuclei, the most PS-damaged intracellular compartment, which resulted in a PS photocytotoxic effect increase of several orders of magnitude. In our opinion, MRTs, which target locally active drugs into the desired cell compartment and thereby enhance the drug response, represent a new generation of the pharmacological agents.     

miR-326-Histone Deacetylase-3 Feedback Loop Regulates the Invasion and Tumorigenic and Angiogenic Response to Anti-cancer Drugs

Histone modification is known to be associated with multidrug resistance phenotypes. Cancer cell lines that are resistant or have been made resistant to anti-cancer drugs showed lower expression levels of histone deacetylase-3 (HDAC3), among the histone deacetylase(s), than cancer cell lines that were sensitive to anti-cancer drugs. Celastrol and Taxol decreased the expression of HDAC3 in cancer cell lines sensitive to anti-cancer drugs. HDAC3 negatively regulated the invasion, migration, and anchorage-independent growth of cancer cells. HDAC3 conferred sensitivity to anti-cancer drugs in vitro and in vivo. TargetScan analysis predicted miR-326 as a negative regulator of HDAC3. ChIP assays and luciferase assays showed a negative feedback loop between HDAC3 and miR-326. miR-326 decreased the apoptotic effect of anti-cancer drugs, and the miR-326 inhibitor increased the apoptotic effect of anti-cancer drugs. miR-326 enhanced the invasion and migration potential of cancer cells. The miR-326 inhibitor negatively regulated the tumorigenic, metastatic, and angiogenic potential of anti-cancer drug-resistant cancer cells. HDAC3 showed a positive feedback loop with miRNAs such as miR-200b, miR-217, and miR-335. miR-200b, miR-217, and miR-335 negatively regulated the expression of miR-326 and the invasion and migration potential of cancer cells while enhancing the apoptotic effect of anti-cancer drugs. TargetScan analysis predicted miR-200b and miR-217 as negative regulators of cancer-associated gene, a cancer/testis antigen, which is known to regulate the response to anti-cancer drugs. HDAC3 and miR-326 acted upstream of the cancer-associated gene. Thus, we show that the miR-326-HDAC3 feedback loop can be employed as a target for the development of anti-cancer therapeutics.     

Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties

Predicting the response of a specific cancer to a therapy is a major goal in modern oncology that should ultimately lead to a personalised treatment. High-throughput screenings of potentially active compounds against a panel of genomically heterogeneous cancer cell lines have unveiled multiple relationships between genomic alterations and drug responses. Various computational approaches have been proposed to predict sensitivity based on genomic features, while others have used the chemical properties of the drugs to ascertain their effect. In an effort to integrate these complementary approaches, we developed machine learning models to predict the response of cancer cell lines to drug treatment, quantified through IC₅₀ values, based on both the genomic features of the cell lines and the chemical properties of the considered drugs. Models predicted IC₅₀ values in a 8-fold cross-validation and an independent blind test with coefficient of determination R² of 0.72 and 0.64 respectively. Furthermore, models were able to predict with comparable accuracy (R² of 0.61) IC50s of cell lines from a tissue not used in the training stage. Our in silico models can be used to optimise the experimental design of drug-cell screenings by estimating a large proportion of missing IC₅₀ values rather than experimentally measuring them. The implications of our results go beyond virtual drug screening design: potentially thousands of drugs could be probed in silico to systematically test their potential efficacy as anti-tumour agents based on their structure, thus providing a computational framework to identify new drug repositioning opportunities as well as ultimately be useful for personalized medicine by linking the genomic traits of patients to drug sensitivity.     

Genomic signatures to guide the use of chemotherapeutics

Using in vitro drug sensitivity data coupled with Affymetrix microarray data, we developed gene expression signatures that predict sensitivity to individual chemotherapeutic drugs. Each signature was validated with response data from an independent set of cell line studies. We further show that many of these signatures can accurately predict clinical response in individuals treated with these drugs. Notably, signatures developed to predict response to individual agents, when combined, could also predict response to multidrug regimens. Finally, we integrated the chemotherapy response signatures with signatures of oncogenic pathway deregulation to identify new therapeutic strategies that make use of all available drugs. The development of gene expression profiles that can predict response to commonly used cytotoxic agents provides opportunities to better use these drugs, including using them in combination with existing targeted therapies.     

Cellular responses to a prolonged delay in mitosis are determined by a DNA damage response controlled by Bcl-2 family proteins

Anti-cancer drugs that disrupt mitosis inhibit cell proliferation and induce apoptosis, although the mechanisms of these responses are poorly understood. Here, we characterize a mitotic stress response that determines cell fate in response to microtubule poisons. We show that mitotic arrest induced by these drugs produces a temporally controlled DNA damage response (DDR) characterized by the caspase-dependent formation of γH2AX foci in non-apoptotic cells. Following exit from a delayed mitosis, this initial response results in activation of DDR protein kinases, phosphorylation of the tumour suppressor p53 and a delay in subsequent cell cycle progression. We show that this response is controlled by Mcl-1, a regulator of caspase activation that becomes degraded during mitotic arrest. Chemical inhibition of Mcl-1 and the related proteins Bcl-2 and Bcl-x_L by a BH3 mimetic enhances the mitotic DDR, promotes p53 activation and inhibits subsequent cell cycle progression. We also show that inhibitors of DDR protein kinases as well as BH3 mimetics promote apoptosis synergistically with taxol (paclitaxel) in a variety of cancer cell lines. Our work demonstrates the role of mitotic DNA damage responses in determining cell fate in response to microtubule poisons and BH3 mimetics, providing a rationale for anti-cancer combination chemotherapies.     

Neutrophils Are Not Less Sensitive Than Other Blood Leukocytes to the Genomic Effects of Glucocorticoids

BackgroundNeutrophils are generally considered less responsive to glucocorticoids compared to other inflammatory cells. The reported increase in human neutrophil survival mediated by these drugs partly supports this assertion. However, it was recently shown that dexamethasone exerts potent anti-inflammatory effects in equine peripheral blood neutrophils. Few comparative studies of glucocorticoid effects in neutrophils and other leukocytes have been reported and a relative insensitivity of neutrophils to these drugs could not be ruled out.ObjectiveWe assessed glucocorticoid-responsiveness in equine and human peripheral blood neutrophils and neutrophil-depleted leukocytes.MethodsBlood neutrophils and neutrophil-depleted leukocytes were isolated from 6 healthy horses and 4 human healthy subjects. Cells were incubated for 5 h with or without LPS (100 ng/mL) alone or combined with hydrocortisone, prednisolone or dexamethasone (10⁻⁸ M and 10⁻⁶ M). IL-1β, TNF-α, IL-8, glutamine synthetase and GR-α mRNA expression was quantified by qPCR. Equine neutrophils were also incubated for 20 h with or without the three glucocorticoids and cell survival was assessed by flow cytometry and light microscopy on cytospin preparations.ResultsWe found that glucocorticoids down-regulated LPS-induced pro-inflammatory mRNA expression in both cell populations and species. These drugs also significantly increased glutamine synthetase gene expression in both equine cell populations. The magnitude of glucocorticoid response between cell populations was generally similar in both species. We also showed that dexamethasone had a comparable inhibitory effect on pro-inflammatory gene expression in both human and equine neutrophils. As reported in other species, glucocorticoids significantly increase the survival in equine neutrophils.ConclusionsGlucocorticoids exert genomic effects of similar magnitude on neutrophils and on other blood leukocytes. We speculate that the poor response to glucocorticoids observed in some chronic neutrophilic diseases such as severe asthma or COPD is not explained by a relative lack of inhibition of these drugs on pro-inflammatory cytokines expression in neutrophils.     

Responses of the melanophores of the medaka, Oryzias latipes, to adrenergic drugs: evidence for involvement of alpha 2 adrenergic receptors mediating melanin aggregation

1. Melanin-aggregation response of the medaka melanophores to a series of adrenergic drugs were examined. 2. Concentration-response curves for the drugs indicated that the melanin-aggregating effects of alpha 2 adrenergic agonists, naphazoline, tramazoline and clonidine, were more than 100-fold greater than that of alpha 1 agonists, phenylpropanolamine, phenylephrine, oxymetazoline and methoxamine. 3. The inhibitory effect of alpha 2 antagonist, yohimbine, on the cell responses to the agonists were also about 100-fold greater than that of alpha 1 antagonists, corynanthine and prazosin. 4. These results indicate that adrenergic receptors which mediate melanin-aggregation response of the cells are alpha 2 in nature.     

An Assessment of the Role of Opioid Receptors in the Response to Cannabimimetic Drugs

Cannabimimetic drugs have been shown to inhibit adenylate cyclase activity in N18TG2 neuroblastoma cells. This investigation examines the possible role of opioid receptors in the cannabimimetic response. Opioid receptors of the delta subtype were found on N18TG2 membranes using [3H]D-Ala2-D-Leu5-enkephalin. No mu or kappa receptors were detected using selective ligands for these sites. The delta binding affinity and capacity were unaltered by cannabimimetic drugs. To test if cannabimimetic drugs may modulate opioid effector mechanisms, cyclic AMP metabolism was determined in intact cells and in membranes. N18TG2 adenylate cyclase was inhibited by the cannabimimetic drugs delta 9-tetrahydrocannabinol and desacetyllevonantradol, and by the opioid agents morphine, etorphine, and D-Ala2-Met5-enkephalinamide. The opioid inhibition was reversed by naloxone and naltrexone; however, the cannabimimetic response was unaffected. Both cannabimimetic and opioid drugs decreased cyclic AMP accumulation in intact cells, but opioid antagonists blocked the response only to the latter. Thus, cannabimimetic effects are observed even though opioid receptors are blocked by antagonist drugs. The interaction between desacetyllevonantradol and etorphine was neither synergistic nor additive at maximal concentrations, suggesting that these two drugs operate via the same effector mechanism. Other neuronal cell lines having an opioid response were also examined. The cannabimimetic inhibition of cyclic AMP accumulation in NG108-15 neuroblastoma X glioma cells was not as great as the response in N18TG2. N4TG1 neuroblastoma cells did not respond to cannabimimetic drugs under any conditions tested. Thus, the cannabimimetic inhibition of adenylate cyclase is not universally observed, and the efficacy of the cannabimimetic response does not correlate with the efficacy of the opioid response.     

Variation in Drug Sensitivity of Malignant Mesothelioma Cell Lines with Substantial Effects of Selenite and Bortezomib,Highlights Need for Individualized Therapy

Background

Malignant mesothelioma cells have an epithelioid or sarcomatoid morphology, both of which may be present in the same tumor. The sarcomatoid phenotype is associated with worse prognosis and heterogeneity of mesothelioma cells may contribute to therapy resistance, which is often seen in mesothelioma. This study aimed to investigate differences in sensitivity between mesothelioma cell lines to anti-cancer drugs. We studied two novel drugs, selenite and bortezomib and compared their effect to four conventional drugs. We also investigated the immunoreactivity of potential predictive markers for drug sensitivity; Pgp, MRP-1, ERCC1, RRM1, TS, xCT and proteasome 20S subunit.

Materials and methods

We treated six mesothelioma cell lines with selenite, bortezomib, carboplatin, pemetrexed, doxorubicin or gemcitabine as single agents and in combinations. Viability was measured after 24 and 48 hours. Immunocytochemistry was used to detect predictive markers.

Results

As a single agent, selenite was effective on four out of six cell lines, and in combination with bortezomib yielded the greatest response in the studied mesothelioma cell lines. Cells with an epithelioid phenotype were generally more sensitive to the different drugs than the sarcomatoid cells. Extensive S-phase arrest was seen in pemetrexed-sensitive cell lines. MRP-1 predicted sensitivity of cell lines to treatment with carboplatin and xCT predicted pemetrexed effect.

Conclusions

The observed heterogeneity in sensitivity of mesothelioma cell lines with different morphology highlights the need for more individualized therapy, requiring development of methods to predict drug sensitivity of individual tumors. Selenite and bortezomib showed a superior effect compared to conventional drugs, motivating clinical testing of these agents as future treatment regime components for patients with malignant mesothelioma.     

Influence of human tumor suppressor PTEN on sensitivity of malignant cells to anticancer drugs

The influence of the human tumor suppressor PTEN on sensitivity of tumor cells to cytostatic drugs was studied. Rat ras-transformed (N-ras ^Asp12 ) fibroblasts were stably transfected with a full-size PTEN gene. Transfected clone was characterized by an enhanced expression of PTEN and a more normal phenotype in comparison with the parental cells. The effect of transient transfection with PTEN on the sensitivity of several malignant cell lines to the cytostatic drugs colchicine and adriablastine was studied. These drugs differ from each other in action mechanisms and intracellular targets. The tumor cell lines tested in this study included parental cell lines and stable sublines possessing drug resistance due to overexpression of P-glycoprotein. In all cell lines, introduction of exogenous PTEN caused a decrease in proliferation rates. This indicated that transgene was active. The chemosensitivity of some drug-resistant sublines was changed after PTEN transfection, but the drug sensitivity of parental cell lines remained unaffected. The effect of PTEN overexpression on chemosensitivity of malignant cells to cytostatic drugs was found to depend both on their mechanisms of action and on the origin of transfected cells. Our data suggest that PTEN is involved into the molecular mechanisms of drug resistance in cells studied.     

Monensin blocks the transport of diphtheria toxin to the cell cytoplasm

Lysosomotropic amines are believed to inhibit the transport of diphtheria toxin to the cell cytoplasm by raising the pH within intracellular vesicles. If so, then other drugs that dissipate intracellular proton gradients should have a similar effect on toxin transport. We found that monensin, a proton ionophore unrelated to lysosomotropic amines, is a potent inhibitor of the cytotoxic effect of diphtheria toxin. Monensin appears to block the escape of endocytosed toxin from a vesicle to the cytoplasm. Monensin fails to protect cells from the effects of diphtheria toxin that is bound to the cell surface and exposed to acidic medium, suggesting that the step normally blocked by the drug is circumvented under these conditions. The inhibition of toxin transport caused by monensin could not be relieved when monensin was replaced by ammonium chloride, nor when ammonium chloride was again replaced by monensin. This suggests that both drugs block the same step of toxin transport. The effect of monensin on the transport of diphtheria toxin to the cytoplasm is consistent with the proposal (Draper and Simon. 1980. J. Cell Biol. 87:849-854; Sandvig and Olsnes. 1980. J. Cell Biol. 87:828-832) that the toxin is endocytosed and then, in response to an acidic environment, penetrates through the membrane of an intracellular vesicle to reach the cytoplasm.     

Computational framework to understand the clinical stages of COVID-19 and visualization of time course for various treatment strategies

Coronavirus disease 2019 is known to be regulated by multiple factors such as delayed immune response, impaired T cell activation, and elevated levels of proinflammatory cytokines. Clinical management of the disease remains challenging due to interplay of various factors as drug candidates may elicit different responses depending on the staging of the disease. In this context, we propose a computational framework which provides insights into the interaction between viral infection and immune response in lung epithelial cells, with an aim of predicting optimal treatment strategies based on infection severity. First, we formulate the model for visualizing the nonlinear dynamics during the disease progression considering the role of T cells, macrophages and proinflammatory cytokines. Here, we show that the model is capable of emulating the dynamic and static data trends of viral load, T cell, macrophage levels, interleukin (IL)-6 and TNF-α levels. Second, we demonstrate the ability of the framework to capture the dynamics corresponding to mild, moderate, severe, and critical condition. Our result shows that, at late phase (>15 days), severity of disease is directly proportional to pro-inflammatory cytokine IL6 and tumor necrosis factor (TNF)-α levels and inversely proportional to the number of T cells. Finally, the simulation framework was used to assess the effect of drug administration time as well as efficacy of single or multiple drugs on patients. The major contribution of the proposed framework is to utilize the infection progression model for clinical management and administration of drugs inhibiting virus replication and cytokine levels as well as immunosuppressant drugs at various stages of the disease.