27 results on '"Kery M"'
Search Results
2. Variable retention times for rectrices at different loci in a Golden Eagle
- Author
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Ellis, David H, Kery, M, and BioStor
- Published
- 2004
3. New observations of the Peregrine Falcon (Falco peregrinus) in Peru
- Author
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Kery, M and BioStor
- Published
- 2002
4. Hierarchical Bayes Estimation of Species Richness and Occupancy in Spatially Replicated Surveys
- Author
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Kéry, M. and Royle, J. A.
- Published
- 2008
- Full Text
- View/download PDF
5. Imperfect detection and its consequences for monitoring for conservation
- Author
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Kéry, M. and Schmidt, B. R.
- Published
- 2008
6. Can dynamic occupancy models improve predictions of species' range dynamics? A test using Swiss birds
- Author
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Briscoe, NJ, Zurell, D, Elith, J, Koenig, C, Fandos, G, Malchow, A-K, Kery, M, Schmid, H, Guillera-Arroita, G, Briscoe, NJ, Zurell, D, Elith, J, Koenig, C, Fandos, G, Malchow, A-K, Kery, M, Schmid, H, and Guillera-Arroita, G
- Abstract
Predictions of species' current and future ranges are needed to effectively manage species under environmental change. Species ranges are typically estimated using correlative species distribution models (SDMs), which have been criticized for their static nature. In contrast, dynamic occupancy models (DOMs) explicitily describe temporal changes in species' occupancy via colonization and local extinction probabilities, estimated from time series of occurrence data. Yet, tests of whether these models improve predictive accuracy under current or future conditions are rare. Using a long-term data set on 69 Swiss birds, we tested whether DOMs improve the predictions of distribution changes over time compared to SDMs. We evaluated the accuracy of spatial predictions and their ability to detect population trends. We also explored how predictions differed when we accounted for imperfect detection and parameterized models using calibration data sets of different time series lengths. All model types had high spatial predictive performance when assessed across all sites (mean AUC > 0.8), with flexible machine learning SDM algorithms outperforming parametric static and DOMs. However, none of the models performed well at identifying sites where range changes are likely to occur. In terms of estimating population trends, DOMs performed best, particularly for species with strong population changes and when fit with sufficient data, while static SDMs performed very poorly. Overall, our study highlights the importance of considering what aspects of performance matter most when selecting a modelling method for a particular application and the need for further research to improve model utility. While DOMs show promise for capturing range dynamics and inferring population trends when fitted with sufficient data, computational constraints on variable selection and model fitting can lead to reduced spatial accuracy of predictions, an area warranting more attention.
- Published
- 2021
7. Inferring species richness using multispecies occupancy modeling: Estimation performance and interpretation
- Author
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Guillera-Arroita, G, Kery, M, Lahoz-Monfort, JJ, Guillera-Arroita, G, Kery, M, and Lahoz-Monfort, JJ
- Abstract
Multispecies occupancy models can estimate species richness from spatially replicated multispecies detection/non-detection survey data, while accounting for imperfect detection. A model extension using data augmentation allows inferring the total number of species in the community, including those completely missed by sampling (i.e., not detected in any survey, at any site). Here we investigate the robustness of these estimates. We review key model assumptions and test performance via simulations, under a range of scenarios of species characteristics and sampling regimes, exploring sensitivity to the Bayesian priors used for model fitting. We run tests when assumptions are perfectly met and when violated. We apply the model to a real dataset and contrast estimates obtained with and without predictors, and for different subsets of data. We find that, even with model assumptions perfectly met, estimation of the total number of species can be poor in scenarios where many species are missed (>15%-20%) and that commonly used priors can accentuate overestimation. Our tests show that estimation can often be robust to violations of assumptions about the statistical distributions describing variation of occupancy and detectability among species, but lower-tail deviations can result in large biases. We obtain substantially different estimates from alternative analyses of our real dataset, with results suggesting that missing relevant predictors in the model can result in richness underestimation. In summary, estimates of total richness are sensitive to model structure and often uncertain. Appropriate selection of priors, testing of assumptions, and model refinement are all important to enhance estimator performance. Yet, these do not guarantee accurate estimation, particularly when many species remain undetected. While statistical models can provide useful insights, expectations about accuracy in this challenging prediction task should be realistic. Where knowledge about spec
- Published
- 2019
8. Joint species distribution models with species correlations and imperfect detection
- Author
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Tobler, MW, Kery, M, Hui, FKC, Guillera-Arroita, G, Knaus, P, Sattler, T, Tobler, MW, Kery, M, Hui, FKC, Guillera-Arroita, G, Knaus, P, and Sattler, T
- Abstract
Spatiotemporal patterns in biological communities are typically driven by environmental factors and species interactions. Spatial data from communities are naturally described by stacking models for all species in the community. Two important considerations in such multispecies or joint species distribution models (JSDMs) are measurement errors and correlations between species. Up to now, virtually all JSDMs have included either one or the other, but not both features simultaneously, even though both measurement errors and species correlations may be essential for achieving unbiased inferences about the distribution of communities and species co-occurrence patterns. We developed two presence-absence JSDMs for modeling pairwise species correlations while accommodating imperfect detection: one using a latent variable and the other using a multivariate probit approach. We conducted three simulation studies to assess the performance of our new models and to compare them to earlier latent variable JSDMs that did not consider imperfect detection. We illustrate our models with a large Atlas data set of 62 passerine bird species in Switzerland. Under a wide range of conditions, our new latent variable JSDM with imperfect detection and species correlations yielded estimates with little or no bias for occupancy, occupancy regression coefficients, and the species correlation matrix. In contrast, with the multivariate probit model we saw convergence issues with large data sets (many species and sites) resulting in very long run times and larger errors. A latent variable model that ignores imperfect detection produced correlation estimates that were consistently negatively biased, that is, underestimated. We found that the number of latent variables required to represent the species correlation matrix adequately may be much greater than previously suggested, namely around n/2, where n is community size. The analysis of the Swiss passerine data set exemplifies how not accounting
- Published
- 2019
9. Pyruvate dehydrogenase kinase 1 and carbonic anhydrase IX targeting in hypoxic tumors
- Author
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Kery, M., primary, Oravcova, N., additional, Radenkovic, S., additional, Iuliano, F., additional, Tomaskova, J., additional, and Golias, T., additional
- Published
- 2019
- Full Text
- View/download PDF
10. Model-based approaches to deal with detectability: a comment on Hutto (2016a)
- Author
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Marques, TA, Thomas, L, Kery, M, Buckland, ST, Borchers, DL, Rexstad, E, Fewster, RM, Mackenzie, DI, Royle, JA, Guillera-Arroita, G, Handel, CM, Pavlacky, DC, Camp, RJ, Marques, TA, Thomas, L, Kery, M, Buckland, ST, Borchers, DL, Rexstad, E, Fewster, RM, Mackenzie, DI, Royle, JA, Guillera-Arroita, G, Handel, CM, Pavlacky, DC, and Camp, RJ
- Published
- 2017
11. Incorporating Imperfect Detection into Joint Models of Communities: A response to Warton et al.
- Author
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Beissinger, SR, Iknayan, KJ, Guillera-Arroita, G, Zipkin, EF, Dorazio, RM, Royle, JA, Kery, M, Beissinger, SR, Iknayan, KJ, Guillera-Arroita, G, Zipkin, EF, Dorazio, RM, Royle, JA, and Kery, M
- Published
- 2016
12. Enhanced metabolism as a common feature of cancer plasticity
- Author
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PANISOVA, E., primary, KERY, M., additional, KOPACEK, J., additional, PASTOREKOVA, S., additional, and SVASTOVA, E., additional
- Published
- 2016
- Full Text
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13. Improving the analysis of movement data from marked individuals through explicit estimation of observer heterogeneity
- Author
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Korner-Nievergelt, F., Sauter, A., Atkinson, P.W., Guelat, J., Kania, W., Kery, M., Koppen, U., Robinson, R.A., Schaub, M., Thorup, K., Van der Jeugd, H.P., Van Noordwijk, A.J., Korner-Nievergelt, F., Sauter, A., Atkinson, P.W., Guelat, J., Kania, W., Kery, M., Koppen, U., Robinson, R.A., Schaub, M., Thorup, K., Van der Jeugd, H.P., and Van Noordwijk, A.J.
- Abstract
Ring re-encounter data, in particular ring recoveries, have made a large contribution to our understanding of bird movements. However, almost every study based on ring re-encounter data has struggled with the bias caused by unequal observer distribution. Re-encounter probabilities are strongly heterogeneous in space and over time. If this heterogeneity can be measured or at least controlled for, the enormous number of ring re-encounter data collected can be used effectively to answer many questions. Here, we review four different approaches to account for heterogeneity in observer distribution in spatial analyses of ring re-encounter data. The first approach is to measure re-encounter probability directly. We suggest that variation in ring re-encounter probability could be estimated by combining data whose re-encounter probabilities are close to one (radio or satellite telemetry) with data whose re-encounter probabilities are low (ring re-encounter data). The second approach is to measure the spatial variation in re-encounter probabilities using environmental covariates. It should be possible to identify powerful predictors for ring re-encounter probabilities. A third approach consists of the comparison of the actual observations with all possible observations using randomization techniques. We encourage combining such randomisations with ring re-encounter models that we discuss as a fourth approach. Ring re-encounter models are based on the comparison of groups with equal re-encounter probabilities. Together these four approaches could improve our understanding of bird movements considerably. We discuss their advantages and limitations and give directions for future research., Ring re-encounter data, in particular ring recoveries, have made a large contribution to our understanding of bird movements. However, almost every study based on ring re-encounter data has struggled with the bias caused by unequal observer distribution. Re-encounter probabilities are strongly heterogeneous in space and over time. If this heterogeneity can be measured or at least controlled for, the enormous number of ring re-encounter data collected can be used effectively to answer many questions. Here, we review four different approaches to account for heterogeneity in observer distribution in spatial analyses of ring re-encounter data. The first approach is to measure re-encounter probability directly. We suggest that variation in ring re-encounter probability could be estimated by combining data whose re-encounter probabilities are close to one (radio or satellite telemetry) with data whose re-encounter probabilities are low (ring re-encounter data). The second approach is to measure the spatial variation in re-encounter probabilities using environmental covariates. It should be possible to identify powerful predictors for ring re-encounter probabilities. A third approach consists of the comparison of the actual observations with all possible observations using randomization techniques. We encourage combining such randomisations with ring re-encounter models that we discuss as a fourth approach. Ring re-encounter models are based on the comparison of groups with equal re-encounter probabilities. Together these four approaches could improve our understanding of bird movements considerably. We discuss their advantages and limitations and give directions for future research.
- Published
- 2010
14. Mobile, X-band, Polarimetric Doppler Radar Observations of the 4 May 2007 Greensburg, Kansas, Tornadic Supercell
- Author
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Tanamachi, Robin L., primary, Bluestein, Howard B., additional, Houser, Jana B., additional, Frasier, Stephen J., additional, and Hardwick, Kery M., additional
- Published
- 2012
- Full Text
- View/download PDF
15. INTERSTATE.
- Author
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Regan, Kery M.
- Subjects
- INTERSTATE (Poem)
- Abstract
Presents the poem 'Interstate.'
- Published
- 2003
16. LOUISVILLE.
- Author
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Regan, Kery M.
- Subjects
- LOUISVILLE (Poem)
- Abstract
Presents the poem 'Louisville.'
- Published
- 2003
17. ESSENCE/WINTER 2001.
- Author
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Regan, Kery M.
- Subjects
- ESSENCE/WINTER 2001 (Poem)
- Abstract
Presents the poem 'Essence/Winter 2001.'
- Published
- 2003
18. The Tumor Microbiome Reacts to Hypoxia and Can Influence Response to Radiation Treatment in Colorectal Cancer.
- Author
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Benej M, Hoyd R, Kreamer M, Wheeler CE, Grencewicz DJ, Choueiry F, Chan CHF, Zakharia Y, Ma Q, Dodd RD, Ulrich CM, Hardikar S, Churchman ML, Tarhini AA, Robinson LA, Singer EA, Ikeguchi AP, McCarter MD, Tinoco G, Husain M, Jin N, Tan AC, Osman AEG, Eljilany I, Riedlinger G, Schneider BP, Benejova K, Kery M, Papandreou I, Zhu J, Denko N, and Spakowicz D
- Subjects
- Animals, Mice, Humans, Microbiota radiation effects, Cell Line, Tumor, Female, Colorectal Neoplasms radiotherapy, Colorectal Neoplasms microbiology, Tumor Hypoxia radiation effects, Mice, Inbred BALB C, Mice, Nude
- Abstract
Tumor hypoxia has been shown to predict poor patient outcomes in several cancer types, partially because it reduces radiation's ability to kill cells. We hypothesized that some of the clinical effects of hypoxia could also be due to its impact on the tumor microbiome. Therefore, we examined the RNA sequencing data from the Oncology Research Information Exchange Network database of patients with colorectal cancer treated with radiotherapy. We identified microbial RNAs for each tumor and related them to the hypoxic gene expression scores calculated from host mRNA. Our analysis showed that the hypoxia expression score predicted poor patient outcomes and identified tumors enriched with certain microbes such as Fusobacterium nucleatum. The presence of other microbes, such as Fusobacterium canifelinum, predicted poor patient outcomes, suggesting a potential interaction between hypoxia, the microbiome, and radiation response. To experimentally investigate this concept, we implanted CT26 colorectal cancer cells into immune-competent BALB/c and immune-deficient athymic nude mice. After growth, in which tumors passively acquired microbes from the gastrointestinal tract, we harvested tumors, extracted nucleic acids, and sequenced host and microbial RNAs. We stratified tumors based on their hypoxia score and performed a metatranscriptomic analysis of microbial gene expression. In addition to hypoxia-tropic and -phobic microbial populations, analysis of microbial gene expression at the strain level showed expression differences based on the hypoxia score. Thus, hypoxia gene expression scores seem to associate with different microbial populations and elicit an adaptive transcriptional response in intratumoral microbes, potentially influencing clinical outcomes., Significance: Tumor hypoxia reduces radiotherapy efficacy. In this study, we explored whether some of the clinical effects of hypoxia could be due to interaction with the tumor microbiome. Hypoxic gene expression scores associated with certain microbes and elicited an adaptive transcriptional response in others that could contribute to poor clinical outcomes., (©2024 The Authors; Published by the American Association for Cancer Research.)
- Published
- 2024
- Full Text
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19. Pharmacological Regulation of Tumor Hypoxia in Model Murine Tumors and Spontaneous Canine Tumors.
- Author
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Benej M, Wu J, Kreamer M, Kery M, Corrales-Guerrero S, Papandreou I, Williams TM, Li Z, Graves EE, Selmic LE, and Denko NC
- Abstract
Background: Hypoxia is found in many solid tumors and is associated with increased disease aggressiveness and resistance to therapy. Reducing oxygen demand by targeting mitochondrial oxidative metabolism is an emerging concept in translational cancer research aimed at reducing hypoxia. We have shown that the U.S. Food and Drug Administration (FDA)-approved drug papaverine and its novel derivative SMV-32 are potent mitochondrial complex I inhibitors., Methods: We used a dynamic in vivo luciferase reporter system, pODD-Luc, to evaluate the impact of pharmacological manipulation of mitochondrial metabolism on the levels of tumor hypoxia in transplanted mouse tumors. We also imaged canine patients with blood oxygen level-dependent (BOLD) MRI at baseline and one hour after a dose of 1 or 2 mg/kg papaverine., Results: We showed that the pharmacological suppression of mitochondrial oxygen consumption (OCR) in tumor-bearing mice increases tumor oxygenation, while the stimulation of mitochondrial OCR decreases tumor oxygenation. In parallel experiments in a small series of spontaneous canine sarcomas treated at The Ohio State University (OSU) Veterinary Medical Center, we observed a significant increase in BOLD signals indicative of an increase in tumor oxygenation of up to 10-50 mm HgO
2 ., Conclusion: In both transplanted murine tumors and spontaneous canine tumors we found that decreasing mitochondrial metabolism can decrease tumor hypoxia, potentially offering a therapeutic advantage.- Published
- 2021
- Full Text
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20. Lipid droplet storage promotes murine pancreatic tumor growth.
- Author
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Grachan JJ, Kery M, Giaccia AJ, Denko NC, and Papandreou I
- Subjects
- Animals, Carcinoma, Pancreatic Ductal pathology, Cell Growth Processes physiology, Lipid Metabolism, Mice, Pancreatic Neoplasms pathology, Carcinoma, Pancreatic Ductal metabolism, Lipid Droplets metabolism, Neoplasm Proteins metabolism, Pancreatic Neoplasms metabolism
- Abstract
Hypoxia Inducible Lipid Droplet Associated (HILPDA) is frequently overexpressed in tumors and promotes neutral lipid storage. The impact of Hilpda on pancreatic ductal adenocarcinoma (PDAC) tumor growth is not known. In order to evaluate Hilpda‑dependent lipid storage mechanisms, expression of Hilpda in murine pancreatic cells (KPC) was genetically manipulated. Lipid droplet (LD) abundance and triglyceride content in vitro were measured, and model tumor growth in nu/nu mice was determined. The results showed that excess lipid supply increased triglyceride storage and LD formation in KPC cells in a HILPDA‑dependent manner. Contrary to published results, inhibition of Adipose Triglyceride Lipase (ATGL) did not ameliorate the triglyceride abundance differences between Hilpda WT and KO cells. Hilpda ablation significantly decreased the growth rate of model tumors in immunocompromised mice. In conclusion, Hilpda is a positive regulator of triglyceride storage and lipid droplet formation in murine pancreatic cancer cells in vitro and lipid accumulation and tumor growth in vivo . Our data suggest that deregulated ATGL is not responsible for the absence of LDs in KO cells in this context.
- Published
- 2021
- Full Text
- View/download PDF
21. Emerging strategies to target cancer metabolism and improve radiation therapy outcomes.
- Author
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Kery M and Papandreou I
- Subjects
- Adaptation, Physiological, Animals, Ataxia Telangiectasia Mutated Proteins metabolism, DNA physiology, DNA Damage physiology, DNA Repair physiology, Genomic Instability, Glutamine metabolism, Glutarates metabolism, Glutathione metabolism, Humans, Immunotherapy, Isocitrate Dehydrogenase genetics, Ketoglutaric Acids metabolism, Lipid Peroxidation, Mice, Neoplasms therapy, Nucleotides biosynthesis, Oxygen Consumption drug effects, Phospholipids radiation effects, Radiation-Sensitizing Agents pharmacology, Reactive Oxygen Species metabolism, Stress, Physiological, Treatment Outcome, Tumor Microenvironment physiology, Neoplasms metabolism, Neoplasms radiotherapy, Radiation Tolerance physiology
- Abstract
Cancer-specific metabolic changes support the anabolic needs of the rapidly growing tumor, maintain a favorable redox balance, and help cells adapt to microenvironmental stresses like hypoxia and nutrient deprivation. Radiation is extensively applied in a large number of cancer treatment protocols but despite its curative potential, radiation resistance and treatment failures pose a serious problem. Metabolic control of DNA integrity and genomic stability can occur through multiple processes, encompassing cell cycle regulation, nucleotide synthesis, epigenetic regulation of gene activity, and antioxidant defenses. Given the important role of metabolic pathways in oxidative damage responses, it is necessary to assess the potential for tumor-specific radiosensitization by novel metabolism-targeted therapies. Additionally, there are opportunities to identify molecular and functional biomarkers of vulnerabilities to combination treatments, which could then inform clinical decisions. Here, we present a curated list of metabolic pathways in the context of ionizing radiation responses. Glutamine metabolism influences DNA damage responses by mechanisms such as synthesis of nucleotides for DNA repair or of glutathione for ROS detoxification. Repurposed oxygen consumption inhibitors have shown promising radiosensitizing activity against murine model tumors and are now in clinical trials. Production of 2-hydroxy glutarate by isocitrate dehydrogenase1/2 neomorphic oncogenic mutants interferes with the function of α-ketoglutarate-dependent enzymes and modulates Ataxia Telangiectasia Mutated (ATM) signaling and glutathione pools. Radiation-induced oxidative damage to membrane phospholipids promotes ferroptotic cell loss and cooperates with immunotherapies to improve tumor control. In summary, there are opportunities to enhance the efficacy of radiotherapy by exploiting cell-inherent vulnerabilities and dynamic microenvironmental components of the tumor.
- Published
- 2020
- Full Text
- View/download PDF
22. CA IX Stabilizes Intracellular pH to Maintain Metabolic Reprogramming and Proliferation in Hypoxia.
- Author
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Benej M, Svastova E, Banova R, Kopacek J, Gibadulinova A, Kery M, Arena S, Scaloni A, Vitale M, Zambrano N, Papandreou I, Denko NC, and Pastorekova S
- Abstract
Tumor hypoxia represents a severe microenvironmental stress that is frequently associated with acidosis. Cancer cells respond to these stresses with changes in gene expression that promote survival at least in part through pH regulation and metabolic reprogramming. Hypoxia-induced carbonic anhydrase IX (CA IX) plays a critical adaptive role in response to hypoxic and acidic environments by catalytically hydrating extracellular CO
2 to produce bicarbonate for buffering intracellular pH (pHi). We used proteome-wide profiling to study the cellular response to transient CA IX knockdown in hypoxia and found a decrease in the levels of key glycolytic enzymes and lactate dehydrogenase A (LDHA). Interestingly, the activity of LDH was also decreased as demonstrated by native in-gel activity assay. These changes led to a significant reduction in glycolytic flux and extracellular lactate levels in cancer cells in vitro , contributing to a decrease in proliferation. Interestingly, addition of the alternative LDH substrate alpha-ketobutyrate restored LDHA activity, extracellular acidification, pHi, and cellular proliferation. These results indicate that in the absence of CA IX, reduction of pHi disrupts LDHA activity and hinders the cellular capacity to regenerate NAD+ and secrete protons to the extracellular space. Hypoxia-induced CA IX therefore mediates adaptation to microenvironmental hypoxia and acidosis directly, by enzymatically converting extracellular CO2 to bicarbonate, and indirectly, by maintaining glycolysis-permissive intracellular milieu., (Copyright © 2020 Benej, Svastova, Banova, Kopacek, Gibadulinova, Kery, Arena, Scaloni, Vitale, Zambrano, Papandreou, Denko and Pastorekova.)- Published
- 2020
- Full Text
- View/download PDF
23. CAIX Regulates Invadopodia Formation through Both a pH-Dependent Mechanism and Interplay with Actin Regulatory Proteins.
- Author
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Debreova M, Csaderova L, Burikova M, Lukacikova L, Kajanova I, Sedlakova O, Kery M, Kopacek J, Zatovicova M, Bizik J, Pastorekova S, and Svastova E
- Subjects
- Actins metabolism, Animals, Antineoplastic Agents, Immunological pharmacology, Carbonic Anhydrase IX antagonists & inhibitors, Carbonic Anhydrase IX metabolism, Fluorescent Antibody Technique, Humans, Mice, Neoplasm Metastasis, Neoplasms drug therapy, Neoplasms etiology, Neoplasms metabolism, Neoplasms pathology, Phosphorylation, Proteolysis, Signal Transduction, Sodium-Bicarbonate Symporters metabolism, Actin-Related Protein 2-3 Complex metabolism, Carbonic Anhydrase IX genetics, Hydrogen-Ion Concentration, Podosomes metabolism
- Abstract
Tumor metastasis is tightly linked with invasive membrane protrusions, invadopodia, formed by actively invading tumor cells. Hypoxia and pH modulation play a role in the invadopodia formation and in their matrix degradation ability. Tumor-associated carbonic anhydrase IX (CAIX), induced by hypoxia, is essential for pH regulation and migration, predisposing it as an active component of invadopodia. To investigate this assumption, we employed silencing and inhibition of CA9, invadopodia isolation and matrix degradation assay. Quail chorioallantoic membranes with implanted tumor cells, and lung colonization assay in murine model were used to assess efficiency of in vivo invasion and the impact of CAIX targeting antibodies. We showed that CAIX co-distributes to invadopodia with cortactin, MMP14, NBCe1, and phospho-PKA. Suppression or enzymatic inhibition of CAIX leads to impaired invadopodia formation and matrix degradation. Loss of CAIX attenuated phosphorylation of Y421-cortactin and influenced molecular machinery coordinating actin polymerization essential for invadopodia growth. Treatment of tumor cells by CAIX-specific antibodies against carbonic or proteoglycan domains results in reduced invasion and extravasation in vivo . For the first time, we demonstrated in vivo localization of CAIX within invadopodia. Our findings confirm the key role of CAIX in the metastatic process and gives rationale for its targeting during anti-metastatic therapy.
- Published
- 2019
- Full Text
- View/download PDF
24. Microenvironmental control of glucose metabolism in tumors by regulation of pyruvate dehydrogenase.
- Author
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Golias T, Kery M, Radenkovic S, and Papandreou I
- Subjects
- Animals, Carbohydrate Metabolism, Citric Acid Cycle, Humans, Models, Biological, Neoplasms pathology, Neoplasms therapy, Protein Serine-Threonine Kinases metabolism, Pyruvate Dehydrogenase Acetyl-Transferring Kinase, Glucose metabolism, Neoplasms metabolism, Pyruvate Dehydrogenase Complex metabolism, Tumor Microenvironment
- Abstract
During malignant progression cancer cells undergo a series of changes, which promote their survival, invasiveness and metastatic process. One of them is a change in glucose metabolism. Unlike normal cells, which mostly rely on the tricarboxylic acid cycle (TCA), many cancer types rely on glycolysis. Pyruvate dehydrogenase complex (PDC) is the gatekeeper enzyme between these two pathways and is responsible for converting pyruvate to acetyl-CoA, which can then be processed further in the TCA cycle. Its activity is regulated by PDP (pyruvate dehydrogenase phosphatases) and PDHK (pyruvate dehydrogenase kinases). Pyruvate dehydrogenase kinase exists in 4 tissue specific isoforms (PDHK1-4), the activities of which are regulated by different factors, including hormones, hypoxia and nutrients. PDHK1 and PDHK3 are active in the hypoxic tumor microenvironment and inhibit PDC, resulting in a decrease of mitochondrial function and activation of the glycolytic pathway. High PDHK1/3 expression is associated with worse prognosis in patients, which makes them a promising target for cancer therapy. However, a better understanding of PDC's enzymatic regulation in vivo and of the mechanisms of PDHK-mediated malignant progression is necessary for the design of better PDHK inhibitors and the selection of patients most likely to benefit from such inhibitors., (© 2018 UICC.)
- Published
- 2019
- Full Text
- View/download PDF
25. Pyruvate dehydrogenase kinase 1 and carbonic anhydrase IX targeting in hypoxic tumors.
- Author
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Kery M, Oravcova N, Radenkovic S, Iuliano F, Tomaskova J, and Golias T
- Subjects
- Carbonic Anhydrase IX metabolism, Cell Line, Tumor, Humans, Hypoxia-Inducible Factor 1, alpha Subunit metabolism, Neoplasms metabolism, Protein Serine-Threonine Kinases metabolism, Pyruvate Dehydrogenase Acetyl-Transferring Kinase, Carbonic Anhydrase IX antagonists & inhibitors, Hypoxia, Neoplasms drug therapy, Protein Serine-Threonine Kinases antagonists & inhibitors
- Abstract
Pyruvate dehydrogenase kinase 1 (PDHK1) and carbonic anhydrase IX (CAIX) are some of the most hypoxia-inducible proteins associated with tumors, implicated in glucose metabolism and pH regulation, respectively. They both appear to be necessary for model tumor growth, and their high level of expression in human tumors predicts poor patient outcome. Another thing they have in common is that hypoxia not only induces their expression but also their enzymatic activity. This work therefore simultaneously targets these two hypoxia-inducible proteins either pharmacologically or genetically in vitro and in vivo, leading to decreased cancer cell survival and significantly slower model tumor growth. It also suggests that CAIX and PDHK1 are important for cells originating from a colorectal primary tumor, as well as from its metastasis. Moreover, our analysis reveals a unique relationship between these two HIF-1 target genes. In conclusion, the attributes of PDHK1 and CAIX predict them to be promising targets for the design of new, specific inhibitors that could negatively influence tumor cell proliferation and survival, or increase efficacy of standard treatment regimens, and at the same time avoid normal tissue toxicity.
- Published
- 2018
- Full Text
- View/download PDF
26. Lactate stimulates CA IX expression in normoxic cancer cells.
- Author
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Panisova E, Kery M, Sedlakova O, Brisson L, Debreova M, Sboarina M, Sonveaux P, Pastorekova S, and Svastova E
- Abstract
Besides hypoxia, other factors and molecules such as lactate, succinate, and reactive oxygen species activate transcription factor hypoxia-inducible factor-1 (HIF-1) even in normoxia. One of the main target gene products of HIF-1 is carbonic anhydrase IX (CA IX). CA IX is overexpressed in many tumors and serves as prognostic factor for hypoxic, aggressive and malignant cancers. CA IX is also induced in normoxia in high cell density. In this study, we observed that lactate induces CA IX expression in normoxic cancer cells in vitro and in vivo . We further evidenced that participation of both HIF-1 and specificity protein 1 (SP1) transcription factors is crucial for lactate-driven normoxic induction of the CA9 gene. By inducing CA IX, lactate can facilitate the maintenance of cancer cell aggressive behavior in normoxia., Competing Interests: CONFLICTS OF INTEREST The authors have declared that no conflicts of interest exists.
- Published
- 2017
- Full Text
- View/download PDF
27. Hierarchical distance-sampling models to estimate population size and habitat-specific abundance of an island endemic.
- Author
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Sillett TS, Chandler RB, Royle JA, Kery M, and Morrison SA
- Subjects
- Animals, California, Models, Biological, Population Density, Seasons, Ecosystem, Islands, Passeriformes physiology
- Abstract
Population size and habitat-specific abundance estimates are essential for conservation management. A major impediment to obtaining such estimates is that few statistical models are able to simultaneously account for both spatial variation in abundance and heterogeneity in detection probability, and still be amenable to large-scale applications. The hierarchical distance-sampling model of J. A. Royle, D. K. Dawson, and S. Bates provides a practical solution. Here, we extend this model to estimate habitat-specific abundance and rangewide population size of a bird species of management concern, the Island Scrub-Jay (Aphelocoma insularis), which occurs solely on Santa Cruz Island, California, USA. We surveyed 307 randomly selected, 300 m diameter, point locations throughout the 250-km2 island during October 2008 and April 2009. Population size was estimated to be 2267 (95% CI 1613-3007) and 1705 (1212-2369) during the fall and spring respectively, considerably lower than a previously published but statistically problematic estimate of 12 500. This large discrepancy emphasizes the importance of proper survey design and analysis for obtaining reliable information for management decisions. Jays were most abundant in low-elevation chaparral habitat; the detection function depended primarily on the percent cover of chaparral and forest within count circles. Vegetation change on the island has been dramatic in recent decades, due to release from herbivory following the eradication of feral sheep (Ovis aries) from the majority of the island in the mid-1980s. We applied best-fit fall and spring models of habitat-specific jay abundance to a vegetation map from 1985, and estimated the population size of A. insularis was 1400-1500 at that time. The 20-30% increase in the jay population suggests that the species has benefited from the recovery of native vegetation since sheep removal. Nevertheless, this jay's tiny range and small population size make it vulnerable to natural disasters and to habitat alteration related to climate change. Our results demonstrate that hierarchical distance-sampling models hold promise for estimating population size and spatial density variation at large scales. Our statistical methods have been incorporated into the R package unmarked to facilitate their use by animal ecologists, and we provide annotated code in the Supplement.
- Published
- 2012
- Full Text
- View/download PDF
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