1,399 research outputs found

    Pirfenidone in unclassifiable interstitial lung disease: a subgroup analysis by concomitant mycophenolate mofetil and/or previous corticosteroid use

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    Introduction There are currently no approved treatments solely for unclassifiable interstitial lung disease (uILD); however, a recent trial showed this population can benefit from pirfenidone. We report a subgroup analysis of this trial to assess the effects of immunomodulators (concomitant mycophenolate mofetil [MMF] and/or previous corticosteroids) with pirfenidone in patients with uILD. Methods This was a multicenter, international, double-blind, randomized, placebo-controlled phase II trial of patients with progressive fibrosing uILD (NCT03099187). Patients were randomized (1:1) to receive pirfenidone 2403 mg/day or placebo. This analysis assessed forced vital capacity (FVC) change from baseline measured using site spirometry (key secondary endpoint) and safety over 24 weeks by concomitant MMF use at randomization (pre-specified analysis) and/or previous corticosteroid use (post hoc analysis). Results Overall, 253 patients were randomized, including 45 (17.8%) patients (pirfenidone, n = 23; placebo, n = 22) receiving concomitant MMF with/without previous corticosteroids (MMF subgroup); 79 (31.2%) patients (pirfenidone, n = 44; placebo, n = 35) receiving previous corticosteroids without MMF (corticosteroids/no-MMF subgroup); and 129 (51.0%) patients (pirfenidone, n = 60; placebo, n = 69) not receiving concomitant MMF or previous corticosteroids (no-corticosteroids/no-MMF subgroup). At 24 weeks, difference in mean (95% confidence interval) FVC change from baseline between pirfenidone and placebo was − 55.4 mL (− 206.7, 96.0; P = 0.4645) in the MMF subgroup; 128.4 mL (− 6.4, 263.3; P = 0.0617) in the corticosteroids/no-MMF subgroup; and 115.5 mL (35.1, 195.9; P = 0.0052) in the no-corticosteroids/no-MMF subgroup. All subgroups generally exhibited a similar pattern of treatment-emergent adverse events. Conclusion Although limited by design and small sample sizes, this analysis suggests pirfenidone may be less effective in patients with uILD receiving concomitant MMF, whereas a beneficial treatment effect was observed in patients not receiving concomitant MMF regardless of previous corticosteroid use. Pirfenidone was well tolerated regardless of MMF and/or corticosteroid use. Trial Registration Number ClinicalTrials.gov: NCT03099187

    Epiparasitic plants specialized on arbuscular mycorrhizal fungi

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    Over 400 non-photosynthetic species from 10 families of vascular plants obtain their carbon from fungi and are thus defined as myco-heterotrophs. Many of these plants are epiparasitic on green plants from which they obtain carbon by 'cheating' shared mycorrhizal fungi. Epiparasitic plants examined to date depend on ectomycorrhizal fungi for carbon transfer and exhibit exceptional specificity for these fungi, but for most myco-heterotrophs neither the identity of the fungi nor the sources of their carbon are known. Because many myco-heterotrophs grow in forests dominated by plants associated with arbuscular mycorrhizal fungi (AMF; phylum Glomeromycota), we proposed that epiparasitism would occur also between plants linked by AMF. On a global scale AMF form the most widespread mycorrhizae, thus the ability of plants to cheat this symbiosis would be highly significant. We analysed mycorrhizae from three populations of Arachnitis uniflora (Corsiaceae, Monocotyledonae), five Voyria species and one Voyriella species (Gentianaceae, Dicotyledonae), and neighbouring green plants. Here we show that non-photosynthetic plants associate with AMF and can display the characteristic specificity of epiparasites. This suggests that AMF mediate significant inter-plant carbon transfer in nature

    Differential Role of Human Choline Kinase α and β Enzymes in Lipid Metabolism: Implications in Cancer Onset and Treatment

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    11 pages, 6 figures, 1 table.Background The Kennedy pathway generates phosphocoline and phosphoethanolamine through its two branches. Choline Kinase (ChoK) is the first enzyme of the Kennedy branch of synthesis of 1phosphocholine, the major component of the plasma membrane. ChoK family of proteins is composed by ChoKα and ChoKβ isoforms, the first one with two different variants of splicing. Recently ChoKα has been implicated in the carcinogenic process, since it is over-expressed in a variety of human cancers. However, no evidence for a role of ChoKβ in carcinogenesis has been reported. Methodology/Principal Findings Here we compare the in vitro and in vivo properties of ChoKα1 and ChoKβ in lipid metabolism, and their potential role in carcinogenesis. Both ChoKα1 and ChoKβ showed choline and ethanolamine kinase activities when assayed in cell extracts, though with different affinity for their substrates. However, they behave differentially when overexpressed in whole cells. Whereas ChoKβ display an ethanolamine kinase role, ChoKα1 present a dual choline/ethanolamine kinase role, suggesting the involvement of each ChoK isoform in distinct biochemical pathways under in vivo conditions. In addition, while overexpression of ChoKα1 is oncogenic when overexpressed in HEK293T or MDCK cells, ChoKβ overexpression is not sufficient to induce in vitro cell transformation nor in vivo tumor growth. Furthermore, a significant upregulation of ChoKα1 mRNA levels in a panel of breast and lung cancer cell lines was found, but no changes in ChoKβ mRNA levels were observed. Finally, MN58b, a previously described potent inhibitor of ChoK with in vivo antitumoral activity, shows more than 20-fold higher efficiency towards ChoKα1 than ChoKβ. Conclusion/Significance This study represents the first evidence of the distinct metabolic role of ChoKα and ChoKβ isoforms, suggesting different physiological roles and implications in human carcinogenesis. These findings constitute a step forward in the design of an antitumoral strategy based on ChoK inhibition.This work has been supported by grants to JCL from Comunidad de Madrid (GR-SAL-0821-2004), Ministerio de Ciencia e Innovación (SAF2008-03750, RD06/0020/0016), Fundación Mutua Madrileña, and by a grant to ARM from Fundación Mutua Madrileña.Peer reviewe

    The impact of cluster connectedness on firm innovation: R&D effort and outcomes in the textile industry

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    This is an Author's Accepted Manuscript of an article published in "The impact of cluster connectedness on firm innovation: R&D effort and outcomes in the textile industry" version of the article as published in the Entrepreneurship and Regional Development, 2012 september,[copyright Taylor & Francis], available online at: http://www.tandfonline.com/10.1080/08985626.2012.710260"[EN] Recent research into the clustering effect on firms has moved away from a simplistic view to a more complex approach. More realistic and complex causal relationships are now considered when analysing these territorial networks. Specifically, this paper attempts to analyse how cluster connect- edness moderates the relationship of a firm's innovation effort and the results obtained from this effort. We want to question the commonly accepted direct and positive impact of R&D effort, and moreover, we suggest the existence of a saturation effect and that the level of cluster's inter-connectedness in the cluster moderates this effect. We have developed our empirical study focusing on the Spanish textile industrial cluster. This is a complex manufacturing industry that uses relatively low-technology manufacturing and R&D. Our findings suggest that the degree to which a firm is involved with, or connected to, other firms in the cluster can moderate the effect of the R&D effort on its innovation results. More generally, we aim to contribute to the discussion on the degree to which firms should be involved in the cluster network in order to operate efficiently and gain the maximum competitive advantages. Our findings have implications both in recent cluster and network literature as well for institutional policy.Molina Morales, FX.; Expósito Langa, M. (2012). The impact of cluster connectedness on firm innovation: R&D effort and outcomes in the textile industry. Entrepreneurship and Regional Development. 24(7-8):685-704. doi:10.1080/08985626.2012.710260S685704247-8Agarwal, R., Audretsch, D., & Sarkar, M. B. (2007). The process of creative construction: knowledge spillovers, entrepreneurship, and economic growth. Strategic Entrepreneurship Journal, 1(3-4), 263-286. doi:10.1002/sej.36Aharonson, B. S., Baum, J. A. C., & Feldman, M. P. (2007). Desperately seeking spillovers? Increasing returns, industrial organization and the location of new entrants in geographic and technological space. Industrial and Corporate Change, 16(1), 89-130. doi:10.1093/icc/dtl034Albino, V., Carbonara, N., & Giannoccaro, I. (2006). Innovation in industrial districts: An agent-based simulation model. International Journal of Production Economics, 104(1), 30-45. doi:10.1016/j.ijpe.2004.12.023Audretsch, D. B., & Lehmann, E. E. (2005). Does the Knowledge Spillover Theory of Entrepreneurship hold for regions? Research Policy, 34(8), 1191-1202. doi:10.1016/j.respol.2005.03.012Bell, G. G. (2005). Clusters, networks, and firm innovativeness. Strategic Management Journal, 26(3), 287-295. doi:10.1002/smj.448Bell, M., & Albu, M. (1999). Knowledge Systems and Technological Dynamism in Industrial Clusters in Developing Countries. World Development, 27(9), 1715-1734. doi:10.1016/s0305-750x(99)00073-xBelussi, F., & Arcangeli, F. (1998). A typology of networks: flexible and evolutionary firms. Research Policy, 27(4), 415-428. doi:10.1016/s0048-7333(98)00074-2Cantwell, J., & Piscitello, L. (2005). Recent Location of Foreign-owned Research and Development Activities by Large Multinational Corporations in the European Regions: The Role of Spillovers and Externalities. Regional Studies, 39(1), 1-16. doi:10.1080/0034340052000320824Boschma, R. A., & ter Wal, A. L. J. (2007). Knowledge Networks and Innovative Performance in an Industrial District: The Case of a Footwear District in the South of Italy. Industry & Innovation, 14(2), 177-199. doi:10.1080/13662710701253441Brass, D. J. (1984). Being in the Right Place: A Structural Analysis of Individual Influence in an Organization. Administrative Science Quarterly, 29(4), 518. doi:10.2307/2392937Breschi, S. (2001). Knowledge Spillovers and Local Innovation Systems: A Critical Survey. Industrial and Corporate Change, 10(4), 975-1005. doi:10.1093/icc/10.4.975CALANTONE, R. (1997). New product activities and performance: The moderating role of environmental hostility. Journal of Product Innovation Management, 14(3), 179-189. doi:10.1016/s0737-6782(97)00004-0Chell, E., & Baines, S. (2000). Networking, entrepreneurship and microbusiness behaviour. Entrepreneurship & Regional Development, 12(3), 195-215. doi:10.1080/089856200413464Chung, S. (Andy), Singh, H., & Lee, K. (2000). Complementarity, status similarity and social capital as drivers of alliance formation. Strategic Management Journal, 21(1), 1-22. doi:10.1002/(sici)1097-0266(200001)21:13.0.co;2-pCockburn, I. M., & Henderson, R. M. (2003). Absorptive Capacity, Coauthoring Behavior, and the Organization of Research in Drug Discovery. The Journal of Industrial Economics, 46(2), 157-182. doi:10.1111/1467-6451.00067Cohen, W. M., & Levinthal, D. A. (1989). Innovation and Learning: The Two Faces of R & D. The Economic Journal, 99(397), 569. doi:10.2307/2233763Cohen, W. M., & Levinthal, D. A. (1990). Absorptive Capacity: A New Perspective on Learning and Innovation. Administrative Science Quarterly, 35(1), 128. doi:10.2307/2393553Coleman, J. S. (1988). Social Capital in the Creation of Human Capital. American Journal of Sociology, 94, S95-S120. doi:10.1086/228943Coombs, J. E., Deeds, D. L., & Duane Ireland, R. (2009). Placing the choice between exploration and exploitation in context: a study of geography and new product development. Strategic Entrepreneurship Journal, 3(3), 261-279. doi:10.1002/sej.74Crestanello, P., & Tattara, G. (2011). Industrial Clusters and the Governance of the Global Value Chain: The Romania–Veneto Network in Footwear and Clothing. Regional Studies, 45(2), 187-203. doi:10.1080/00343401003596299Dierickx, I., & Cool, K. (1989). Asset Stock Accumulation and Sustainability of Competitive Advantage. Management Science, 35(12), 1504-1511. doi:10.1287/mnsc.35.12.1504Dyer, J. H., & Singh, H. (1998). The Relational View: Cooperative Strategy and Sources of Interorganizational Competitive Advantage. The Academy of Management Review, 23(4), 660. doi:10.2307/259056Eraydin, A., & Armatli-Köroğlu, B. (2005). Innovation, networking and the new industrial clusters: the characteristics of networks and local innovation capabilities in the Turkish industrial clusters. Entrepreneurship & Regional Development, 17(4), 237-266. doi:10.1080/08985620500202632Evenson, R. E., & Kislev, Y. (1973). Research and Productivity in Wheat and Maize. Journal of Political Economy, 81(6), 1309-1329. doi:10.1086/260129Expósito-Langa, M., Molina-Morales, F. X., & Capó-Vicedo, J. (2011). New Product Development and Absorptive Capacity in Industrial Districts: A Multidimensional Approach. Regional Studies, 45(3), 319-331. doi:10.1080/00343400903241535Foss, N. J. (1996). Higher-order industrial Capabilities and competitive advantage. Journal of Industry Studies, 3(1), 1-20. doi:10.1080/13662719600000001George, G., Robley Wood, D., & Khan, R. (2001). Networking strategy of boards: implications for small and medium-sized enterprises. Entrepreneurship & Regional Development, 13(3), 269-285. doi:10.1080/08985620110058115Giuliani, E. 2005. The structure of cluster knowledge networks: Uneven and selective, not pervasive and collective. DRUID Working Paper no. 05-11Giuliani, E., & Bell, M. (2005). The micro-determinants of meso-level learning and innovation: evidence from a Chilean wine cluster. Research Policy, 34(1), 47-68. doi:10.1016/j.respol.2004.10.008Glasmeier, A. (1991). Technological discontinuities and flexible production networks: The case of Switzerland and the world watch industry. Research Policy, 20(5), 469-485. doi:10.1016/0048-7333(91)90070-7Grant, R. M. (1996). Prospering in Dynamically-Competitive Environments: Organizational Capability as Knowledge Integration. Organization Science, 7(4), 375-387. doi:10.1287/orsc.7.4.375Guerrieri, P., & Pietrobelli, C. (2004). Industrial districts’ evolution and technological regimes: Italy and Taiwan. Technovation, 24(11), 899-914. doi:10.1016/s0166-4972(03)00048-8Huggins, R., & Johnston, A. (2010). Knowledge flow and inter-firm networks: The influence of network resources, spatial proximity and firm size. Entrepreneurship & Regional Development, 22(5), 457-484. doi:10.1080/08985620903171350Ibarra, H. (1992). Homophily and Differential Returns: Sex Differences in Network Structure and Access in an Advertising Firm. Administrative Science Quarterly, 37(3), 422. doi:10.2307/2393451Lane, P. J., & Lubatkin, M. (1998). Relative absorptive capacity and interorganizational learning. Strategic Management Journal, 19(5), 461-477. doi:10.1002/(sici)1097-0266(199805)19:53.0.co;2-lLechner, C., Frankenberger, K., & Floyd, S. W. (2010). Task Contingencies in the Curvilinear Relationships Between Intergroup Networks and Initiative Performance. Academy of Management Journal, 53(4), 865-889. doi:10.5465/amj.2010.52814620Levin, D. Z., & Cross, R. (2004). The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer. Management Science, 50(11), 1477-1490. doi:10.1287/mnsc.1030.0136Madill, J. J., Haines, G. H., & Riding, A. L. (2004). Networks and linkages among firms and organizations in the Ottawa-region technology cluster. Entrepreneurship & Regional Development, 16(5), 351-368. doi:10.1080/0898562042000188414Maskell, P. (1998). Low-Tech Competitive Advantages and the Role Of Proximity. European Urban and Regional Studies, 5(2), 99-118. doi:10.1177/096977649800500201Maskell, P. (2001). Towards a Knowledge-based Theory of the Geographical Cluster. Industrial and Corporate Change, 10(4), 921-943. doi:10.1093/icc/10.4.921McEvily, B., & Marcus, A. (2005). Embedded ties and the acquisition of competitive capabilities. Strategic Management Journal, 26(11), 1033-1055. doi:10.1002/smj.484McEvily, B., & Zaheer, A. (1999). Bridging ties: a source of firm heterogeneity in competitive capabilities. Strategic Management Journal, 20(12), 1133-1156. doi:10.1002/(sici)1097-0266(199912)20:123.0.co;2-7Xavier Molina-Morales, F., & Teresa Martínez-Fernández, M. (2006). Industrial districts: something more than a neighbourhood. Entrepreneurship & Regional Development, 18(6), 503-524. doi:10.1080/08985620600884750Molina-Morales, F. X., & Martínez-Fernández, M. T. (2009). Too much love in the neighborhood can hurt: how an excess of intensity and trust in relationships may produce negative effects on firms. Strategic Management Journal, 30(9), 1013-1023. doi:10.1002/smj.766Morrison, A. (2008). Gatekeepers of Knowledgewithin Industrial Districts: Who They Are, How They Interact. Regional Studies, 42(6), 817-835. doi:10.1080/00343400701654178Morrison, A., & Rabellotti, R. (2009). Knowledge and Information Networks in an Italian Wine Cluster. European Planning Studies, 17(7), 983-1006. doi:10.1080/09654310902949265Mowery, D. C., Oxley, J. E., & Silverman, B. S. (1996). Strategic alliances and interfirm knowledge transfer. Strategic Management Journal, 17(S2), 77-91. doi:10.1002/smj.4250171108Nahapiet, J., & Ghoshal, S. (1998). Social Capital, Intellectual Capital, and the Organizational Advantage. The Academy of Management Review, 23(2), 242. doi:10.2307/259373O’Connor, G. C. (1998). Market Learning and Radical Innovation: A Cross Case Comparison of Eight Radical Innovation Projects. Journal of Product Innovation Management, 15(2), 151-166. doi:10.1111/1540-5885.1520151Oba, B., & Semerciöz, F. (2005). Antecedents of trust in industrial districts: an empirical analysis of inter-firm relations in a Turkish industrial district. Entrepreneurship & Regional Development, 17(3), 163-182. doi:10.1080/08985620500102964Parrilli, M. D. (2009). Collective efficiency, policy inducement and social embeddedness: Drivers for the development of industrial districts. Entrepreneurship & Regional Development, 21(1), 1-24. doi:10.1080/08985620801886513Podolny, J. M., & Baron, J. N. (1997). Resources and Relationships: Social Networks and Mobility in the Workplace. American Sociological Review, 62(5), 673. doi:10.2307/2657354Porter, M. E. (1990). The Competitive Advantage of Nations. doi:10.1007/978-1-349-11336-1Pouder, R., & St. John, C. H. (1996). Hot Spots and Blind Spots: Geographical Clusters of Firms and Innovation. Academy of Management Review, 21(4), 1192-1225. doi:10.5465/amr.1996.9704071867Torre, A., & Rallet, A. (2005). Proximity and Localization. Regional Studies, 39(1), 47-59. doi:10.1080/0034340052000320842Rosenkopf, L., & Almeida, P. (2003). Overcoming Local Search Through Alliances and Mobility. Management Science, 49(6), 751-766. doi:10.1287/mnsc.49.6.751.16026Rosenthal, S. S., & Strange, W. C. (2003). Geography, Industrial Organization, and Agglomeration. Review of Economics and Statistics, 85(2), 377-393. doi:10.1162/003465303765299882Rowley, T., Behrens, D., & Krackhardt, D. (2000). Redundant governance structures: an analysis of structural and relational embeddedness in the steel and semiconductor industries. Strategic Management Journal, 21(3), 369-386. doi:10.1002/(sici)1097-0266(200003)21:33.0.co;2-mRusso, M. (1985). Technical change and the industrial district: The role of interfirm relations in the growth and transformation of ceramic tile production in Italy. Research Policy, 14(6), 329-343. doi:10.1016/0048-7333(85)90003-4Sammarra, A., & Belussi, F. (2006). Evolution and relocation in fashion-led Italian districts: evidence from two case-studies. Entrepreneurship & Regional Development, 18(6), 543-562. doi:10.1080/08985620600884685Simmie, J. (2004). Innovation and Clustering in the Globalised International Economy. Urban Studies, 41(5-6), 1095-1112. doi:10.1080/00420980410001675823Sparrowe, R. T., Liden, R. C., Wayne, S. J., & Kraimer, M. L. (2001). SOCIAL NETWORKS AND THE PERFORMANCE OF INDIVIDUALS AND GROUPS. Academy of Management Journal, 44(2), 316-325. doi:10.2307/3069458STABER, U. (2007). Contextualizing Research on Social Capital in Regional Clusters. International Journal of Urban and Regional Research, 31(3), 505-521. doi:10.1111/j.1468-2427.2007.00742.xStock, G. N., Greis, N. P., & Fischer, W. A. (2001). Absorptive capacity and new product development. The Journal of High Technology Management Research, 12(1), 77-91. doi:10.1016/s1047-8310(00)00040-7Tallman, S., Jenkins, M., Henry, N., & Pinch, S. (2004). Knowledge, Clusters, and Competitive Advantage. The Academy of Management Review, 29(2), 258. doi:10.2307/20159032Thompson, P., & Fox-Kean, M. (2005). Patent Citations and the Geography of Knowledge Spillovers: A Reassessment. American Economic Review, 95(1), 450-460. doi:10.1257/0002828053828509Tsai, W. (2001). KNOWLEDGE TRANSFER IN INTRAORGANIZATIONAL NETWORKS: EFFECTS OF NETWORK POSITION AND ABSORPTIVE CAPACITY ON BUSINESS UNIT INNOVATION AND PERFORMANCE. Academy of Management Journal, 44(5), 996-1004. doi:10.2307/3069443Tsai, W., & Ghoshal, S. (1998). SOCIAL CAPITAL AND VALUE CREATION: THE ROLE OF INTRAFIRM NETWORKS. Academy of Management Journal, 41(4), 464-476. doi:10.2307/257085Tushman, M., & Nadler, D. (1986). Organizing for Innovation. California Management Review, 28(3), 74-92. doi:10.2307/41165203Uzzi, B. (1997). Social Structure and Competition in Interfirm Networks: The Paradox of Embeddedness. Administrative Science Quarterly, 42(1), 35. doi:10.2307/2393808Varaldo, R., & Ferrucci, L. (1996). The evolutionary nature of the firm within industrial districts. European Planning Studies, 4(1), 27-34. doi:10.1080/09654319608720327Waxell, A., & Malmberg, A. (2007). What is global and what is local in knowledge-generating interaction? The case of the biotech cluster in Uppsala, Sweden. Entrepreneurship & Regional Development, 19(2), 137-159. doi:10.1080/08985620601061184Yli-Renko, H., Autio, E., & Sapienza, H. J. (2001). Social capital, knowledge acquisition, and knowledge exploitation in young technology-based firms. Strategic Management Journal, 22(6-7), 587-613. doi:10.1002/smj.183ZUCKER, L. G., DARBY, M. R., & ARMSTRONG, J. (1998). GEOGRAPHICALLY LOCALIZED KNOWLEDGE: SPILLOVERS OR MARKETS? Economic Inquiry, 36(1), 65-86. doi:10.1111/j.1465-7295.1998.tb01696.

    EGFR, CD10 and proliferation marker Ki67 expression in ameloblastoma: possible role in local recurrence

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    <p>Abstract</p> <p>Background</p> <p>Ameloblastoma is an odontogenic neoplasm characterized by local invasiveness and tendency towards recurrence.</p> <p>Aims</p> <p>Studying the role played by EGFR, CD10 and Ki67 in the recurrence of ameloblastoma.</p> <p>Methods</p> <p>This study was carried out on 22 retrospective cases of mandibular ameloblastoma from the period from Jan 2002 to Jan 2008 with follow up period until Jan 2011 (3 to 8 years follow up peroid). Archival materials were obtained from pathology department, Mansoura university. Paraffin sections of tumor tissue from all cases were submitted for routine H&E stains and immunohistochemistry using EGFR, CD10 and Ki67 monoclonal antibodies. Statistical analysis using of clinical data for all patients, tumor type, EGFR, CD10 and Ki67 expression in relation to recurrence were evaluated.</p> <p>Results</p> <p>Among the 22 cases, 10 cases were males and 12 were females with sex ratio 1:1.2. Age ranged from 34 to 59 years old with a mean age 44.18 year. Five cases showed local recurrence within studied period and proved by biopsy. No statistically significant relation was found between local recurrence and patient age, tumor size, tumor type, EGFR expression. There was a significant relation between CD10 expression as well as Ki67 labelling index and recurrence (P value = 0.003, 0.000 respectively).</p> <p>Conclusion</p> <p>Evaluation of CD10 and Ki67 status together with conventional histological evaluation can help in providing more information about the biologic behavior of the tumor, while EGFR could be a target of an expanding class of anticancer therapies.</p> <p>Since ameloblastomas are EGFR-positive tumors, anti-EGFR agents could be considered to reduce the size of large tumors and to treat unresectable tumors that are in close proximity to vital structures.</p> <p>Virtual Slides</p> <p>The virtual slide(s) for this article can be found here:</p> <p><url>http://www.diagnosticpathology.diagnomx.eu/vs/1902106905645651</url></p

    MiTF links Erk1/2 kinase and p21CIP1/WAF1 activation after UVC radiation in normal human melanocytes and melanoma cells

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    As a survival factor for melanocytes lineage cells, MiTF plays multiple roles in development and melanomagenesis. What role MiTF plays in the DNA damage response is currently unknown. In this report we observed that MiTF was phosphorylated at serine 73 after UVC radiation, which was followed by proteasome-mediated degradation. Unlike after c-Kit stimulation, inhibiting p90RSK-1 did not abolish the band shift of MiTF protein, nor did it abolish the UVC-mediated MiTF degradation, suggesting that phosphorylation on serine 73 by Erk1/2 is a key event after UVC. Furthermore, the MiTF-S73A mutant (Serine 73 changed to Alanine via site-directed mutagenesis) was unable to degrade and was continuously expressed after UVC exposure. Compared to A375 melanoma cells expressing wild-type MiTF (MiTF-WT), cells expressing MiTF-S73A mutant showed less p21WAF1/CIP1 accumulation and a delayed p21WAF1/CIP1 recovery after UVC. Consequently, cells expressing MiTF-WT showed a temporary G1 arrest after UVC, but cells expressing MiTF-S73A mutant or lack of MiTF expression did not. Finally, cell lines with high levels of MiTF expression showed higher resistance to UVC-induced cell death than those with low-level MiTF. These data suggest that MiTF mediates a survival signal linking Erk1/2 activation and p21WAF1/CIP1 regulation via phosphorylation on serine 73, which facilitates cell cycle arrest. In addition, our data also showed that exposure to different wavelengths of UV light elicited different signal pathways involving MiTF

    Resection of thoracic malignancies infiltrating cardiac structures with use of cardiopulmonary bypass

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    Background: Only few reports exist on malignant thoracic neoplasms that require cardiopulmonary bypass during resection. We aimed to investigate the early and late clinical outcome of these patients. Methods: Patients with thoracic malignancies that underwent surgery between 2002 and 2014 were analyzed. All patients had cardiopulomonary bypass support during resection. Clinical and perioperative data was retrospectively reviewed for outcome and overall survival. Results: Fifteen patients (12 female, mean age of 55 ± 15 years, range 24 to 80 years) were identified. Eleven (8 female) were diagnosed with primary thoracic malignomas and four with metastases. Three patients died early postoperatively. Patients diagnosed with sarcoma had a significantly worse outcome than non-sarcoma patients (83.3 ± 15.2 % after 1 year, 31.3 ± 24.5 % after 5 years vs. 83.3 ± 15.2 % after 1 year, 0 ± 0 % after 5 years, p = 0.005). Conclusions: Malignancies with extension into cardiac structures or infiltration of great vessels can be resected with cardiopulmonary bypass support and tolerable risk. Carefully selected patients can undergo advanced operative procedures with an acceptable 1-year-survival, but only few patients achieved good long-term outcome

    Fuel Conditions Associated with Native and Exotic Grasses in a Subtropical Dry Forest in Puerto Rico

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    Exotic grasses capable of increasing frequency and intensity of anthropogenic fire have invaded subtropical and tropical dry forests worldwide. Since many dry forest trees are susceptible to fire, this can result in decline of native species and loss of forest cover. While the contribution of exotic grasses to altered fire regimes has been well documented, the role of native grasses in contributing to fuel loads in dry forest has received little attention. We assessed differences in fuel conditions among native and exotic grasses within a subtropical dry forest preserve in Puerto Rico. We quantified fine fuel loads, fuel continuity, and seasonal changes in percent dead grass among the following grass patch types: (1) native grass with no known history of recent fire, (2) exotic grass that had burned once (single burn), and (3) exotic grass that burns frequently. Sampling was conducted during one wet season (August to October 2008) and again in the following dry season (February to March 2009). Overall, fine fuel loading was highest in native grass, but this was due to woody fuels rather than grass fuels. Percent of dead grass fuels increased with the transition from wet to dry season, and this increase was more pronounced for exotic grasses. Fuel continuity was highest in frequently burned exotic grass. Differences in grass phenology and fuel continuity may contribute to differences in fire frequency among native and exotic grass patches. Fuel management focused on prescribed fire should be used in conjunction with restoration of tree canopy to reduce fuels and limit development of a grass-fire cycle
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