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  1. Article ; Online: Recurrence pattern analysis after [68Ga]-DOTATATE-PET/CT -planned radiotherapy of high-grade meningiomas

    Barbara Zollner / Ute Ganswindt / Cornelius Maihöfer / Stefanie Corradini / Nathalie Lisa Albert / Christian Schichor / Claus Belka / Maximilian Niyazi

    Radiation Oncology, Vol 13, Iss 1, Pp 1-

    2018  Volume 9

    Abstract: Abstract Background The aim of the present study was to evaluate the influence of the applied safety margins of modern intensity-modulated radiotherapy (IMRT) in patients with high-grade meningiomas on local control and recurrence patterns. Methods ... ...

    Abstract Abstract Background The aim of the present study was to evaluate the influence of the applied safety margins of modern intensity-modulated radiotherapy (IMRT) in patients with high-grade meningiomas on local control and recurrence patterns. Methods Twenty patients with a neuropathological diagnosis of a high-grade meningioma (WHO°II or °III) treated with adjuvant or definitive radiotherapy between 2010 and 2015 were included in the present retrospective analysis. All patients were planned PET-based. Recurrence patterns were assessed by means of MRI and/or DOTATATE-PET/computertomography (CT). Results The median follow-up was 31.0 months [95% confidence interval (CI): 20.1–42.0] and the progression-free survival (PFS) after 24 months was 87.5%. Overall, four patients had a local recurrence of their meningioma. Of these, three were located in field according to the prior radiotherapy treatment region, while only one patient had a distant relapse. There were no independent factors influencing progression-free or overall survival (OS). Conclusion After radiotherapy (RT), patients with atypical or anaplastic meningiomas still have a defined risk of tumor recurrence. The aim of the present study was to examine mono-institutional data concerning target volume definition and recurrence patterns after radiotherapy of high-grade meningiomas as there are limited data available. Our data suggest that extended safety margins are necessary to achieve a favorable local control for high-grade meningiomas.
    Keywords Atypical and anaplastic meningioma ; Radiotherapy ; Recurrence pattern ; Safety margin ; IMRT ; Medical physics. Medical radiology. Nuclear medicine ; R895-920 ; Neoplasms. Tumors. Oncology. Including cancer and carcinogens ; RC254-282
    Subject code 610
    Language English
    Publishing date 2018-06-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Quantifying the length and variance of the eukaryotic cell cycle phases by a stochastic model and dual nucleoside pulse labelling.

    Tom Serge Weber / Irene Jaehnert / Christian Schichor / Michal Or-Guil / Jorge Carneiro

    PLoS Computational Biology, Vol 10, Iss 7, p e

    2014  Volume 1003616

    Abstract: A fundamental property of cell populations is their growth rate as well as the time needed for cell division and its variance. The eukaryotic cell cycle progresses in an ordered sequence through the phases G1, S, G2, and M, and is regulated by ... ...

    Abstract A fundamental property of cell populations is their growth rate as well as the time needed for cell division and its variance. The eukaryotic cell cycle progresses in an ordered sequence through the phases G1, S, G2, and M, and is regulated by environmental cues and by intracellular checkpoints. Reflecting this regulatory complexity, the length of each phase varies considerably in different kinds of cells but also among genetically and morphologically indistinguishable cells. This article addresses the question of how to describe and quantify the mean and variance of the cell cycle phase lengths. A phase-resolved cell cycle model is introduced assuming that phase completion times are distributed as delayed exponential functions, capturing the observations that each realization of a cycle phase is variable in length and requires a minimal time. In this model, the total cell cycle length is distributed as a delayed hypoexponential function that closely reproduces empirical distributions. Analytic solutions are derived for the proportions of cells in each cycle phase in a population growing under balanced growth and under specific non-stationary conditions. These solutions are then adapted to describe conventional cell cycle kinetic assays based on pulse labelling with nucleoside analogs. The model fits well to data obtained with two distinct proliferating cell lines labelled with a single bromodeoxiuridine pulse. However, whereas mean lengths are precisely estimated for all phases, the respective variances remain uncertain. To overcome this limitation, a redesigned experimental protocol is derived and validated in silico. The novelty is the timing of two consecutive pulses with distinct nucleosides that enables accurate and precise estimation of both the mean and the variance of the length of all phases. The proposed methodology to quantify the phase length distributions gives results potentially equivalent to those obtained with modern phase-specific biosensor-based fluorescent imaging.
    Keywords Biology (General) ; QH301-705.5
    Subject code 612
    Language English
    Publishing date 2014-07-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: BioMiner

    Chris Bauer / Karol Stec / Alexander Glintschert / Kristina Gruden / Christian Schichor / Michal Or-Guil / Joachim Selbig / Johannes Schuchhardt

    Cancer Informatics, Vol 2015, Iss 14, Pp 55-

    Paving the Way for Personalized Medicine

    2015  Volume 63

    Keywords Neoplasms. Tumors. Oncology. Including cancer and carcinogens ; RC254-282 ; Internal medicine ; RC31-1245 ; Medicine ; R
    Language English
    Publishing date 2015-04-01T00:00:00Z
    Publisher Libertas Academica
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Human Mesenchymal Stem Cells Exploit the Immune Response Mediating Chemokines to Impact the Phenotype of Glioblastoma

    Helena Motaln / Kristina Gruden / Matjaž Hren / Christian Schichor / Monika Primon / Ana Rotter / Tamara T. Lah

    Cell Transplantation, Vol

    2012  Volume 21

    Abstract: In contrast to the application of human mesenchymal stem cells (hMSCs) in regenerative medicine, only a limited number of studies are addressing their use in anticancer therapy. As the latter may represent a new hope to improve the survival of patients ... ...

    Abstract In contrast to the application of human mesenchymal stem cells (hMSCs) in regenerative medicine, only a limited number of studies are addressing their use in anticancer therapy. As the latter may represent a new hope to improve the survival of patients with glioblastoma multiformae (GBM), the most common and malignant form of the brain tumors, we aimed to investigate the interactions of hMSCs and GBM cells under in vitro conditions. Four hMSC clones and three different GBM cell lines were used to study their mutual paracrine interactions in cocultures compared to their monocultures, where cells were grown under the same experimental conditions. The effects on cell growth, proliferation, and invasion in Matrigel were quantified. Further, bioinformatics tools were used to relate these results to the data obtained from cytokine macroarrays and cDNA microarrays that revealed proteins and genes significantly involved in cellular cross-talk. We showed that hMSCs are responsible for the impairment of GBM cell invasion and growth, possibly via induction of their senescence. On the other hand, GBM cells inversely affected some of these characteristics in hMSCs. We found CCL2/MCP-1 to be the most significantly regulated chemokine during hMSC and U87-MG paracrine signaling in addition to several chemokines that may account for changed cocultured cells' phenotype by affecting genes associated with proliferation ( Pmepa-1, NF -κ B, IL-6, IL-1b ), invasion ( EphB2, Sod2, Pcdh18, Col7A1, Gja1, Mmp1/2 ), and senescence ( Kiaa1199, SerpinB2 ). As we functionally confirmed the role of CCL2/MCP-1 in GBM cell invasion we thereby propose a novel mechanism of CCL2/MCP-1 antimigratory effects on GBM cells, distinct from its immunomodulatory role. Significant alterations of GBM phenotype in the presence of hMSCs should encourage the studies on the naive hMSC use for GBM treatment.
    Keywords Medicine ; R
    Subject code 570
    Language English
    Publishing date 2012-07-01T00:00:00Z
    Publisher SAGE Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Krüppel-like factor 8 (KLF8) is expressed in gliomas of different WHO grades and is essential for tumor cell proliferation.

    Oliver Schnell / Alexander Romagna / Irene Jaehnert / Valerie Albrecht / Sabina Eigenbrod / Kathrin Juerchott / Hans Kretzschmar / Jörg-Christian Tonn / Christian Schichor

    PLoS ONE, Vol 7, Iss 1, p e

    2012  Volume 30429

    Abstract: Krüppel-like factor 8 (KLF8) has only recently been identified to be involved in tumor cell proliferation and invasion of several different tumor entities like renal cell carcinoma, hepatocellular carcinoma and breast cancer. In the present study, we ... ...

    Abstract Krüppel-like factor 8 (KLF8) has only recently been identified to be involved in tumor cell proliferation and invasion of several different tumor entities like renal cell carcinoma, hepatocellular carcinoma and breast cancer. In the present study, we show for the first time the expression of KLF8 in gliomas of different WHO grades and its functional impact on glioma cell proliferation. In order to get information about KLF8-mRNA regulation qPCR was performed and did not reveal any significant difference in samples (n = 10 each) of non-neoplastic brain (NNB), low-grade gliomas (LGG, WHO°II) and glioblastomas (GBM, WHO°IV). Immunohistochemistry of tissue samples (n = 7 LGG, 11 AA and 12 GBM) did not show any significant difference in the fraction of KLF8-immunopositive cells of all analyzed cells in LGG (87%), AA (80%) or GBM (89%). Tissue samples from cerebral breast cancer metastasis, meningiomas but also non-neoplastic brain demonstrated comparable relative cell counts as well. Moreover, there was no correlation between KLF8 expression and the expression pattern of the assumed proliferation marker Ki67, which showed high variability between different tumor grade (9% (LGG), 6% (AA) and 15% (GBM) of Ki67-immunopositive cells). Densitometric analysis of Western blotting revealed that the relative amount of KLF8-protein did also not differ between the highly aggressive and proliferative GBM (1.05) compared to LGG (0.93; p<0.05, studens t-test). As demonstrated for some other non-glial cancer entities, KLF8-knockdown by shRNA in U87-MG cells confirmed its functional relevance, leading to an almost complete loss of tumor cell proliferation. Selective blocking of KLF8 might represent a novel anti-proliferative treatment strategy for malignant gliomas. Yet, its simultaneous expression in non-proliferating tissues could hamper this approach.
    Keywords Medicine ; R ; Science ; Q
    Subject code 616
    Language English
    Publishing date 2012-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: External validation and recalibration of an incidental meningioma prognostic model – IMPACT

    Julie Woodfield / Boris Krischek / Giles Critchley / Damian Holliman / Angelos Kolias / Thomas Santarius / Ola Rominiyi / Michael McDermott / Michael D Jenkinson / Jörg-Christian Tonn / Mohsen Javadpour / Andrea Saladino / Tiit Illimar Mathiesen / Rory Piper / Michael Vogelbaum / Chaya Brodie / Sara Venturini / Daniel M Fountain / Roland Goldbrunner /
    Elliot Tilling / Felix Sahm / Priscilla Brastianos / Rory J Piper / Antonio Santoro / Sylvia Kurz / Pierfrancesco Lapolla / Andrea Mingoli / Jennifer Brown / Debraj Mukherjee / Simon Walling / Andrew Morokoff / Patrick Wen / Ghazaleh Tabatabai / Jill Barnholtz-Sloan / Ryan K Mathew / Alexander Smedley / Helen Shih / William Taylor / Minh Nguyen / Bryony Ford / Samantha J Mills / Tamara Ali / Ruwanthi Kolamunnage-Dona / Josephine Jung / Muhammed Elhadi / Erminia Albanese / Aswin Chari / David Rowland / Melissa Gough / Michael Cearns / Simon Lammy / Yasir Chowdhury / Christian Mawrin / Mahmoud Saleh / Jens Schittenhelm / Farshad Nassiri / Raymond Huang / Pietro Familiari / Manfred Westphal / Warren Selman / Daniel Brown / Nathan McSorley / Oliver Hanemann / Richard Pullicino / Francesco Gaillard / Mirjam Renovanz / Chris Barrett / Christine Jungk / Aaron Cohen-Gadol / Javier Martín-Alonso / Gelareh Zadeh / Hytham Hamid / Abdurrahman I Islim / Christopher P Millward / Shaveta Mehta / Usama Ali / Shelli Diane Koszdin / Theo Georgious / Andrew R Brodbelt / Mohamed Abdelsadg / Suhaib Abualsaud / Amro Abuleil / Kevin Agyemang / Hanan Akbari / Likhith Alakandy / Clarissa Alfonso / Arousa Ali / Michael Amoo / Mohamed A. R. Arbab / Mutiu Asha / Kareem Austin / Khaled Badran / Jarnail Bal / Parameswaran Bhattathiri / Paul M. Brennan / Andrew R. Brodbelt / Ferran Brugada-Bellsolà / Placido Bruzzaniti / Annabel Butcher / Rory S. Cairns / Michael Canty / Sachiv Chakravarti / Rebecca Chave-Cox / Anna Craig-McQuade / Peter Crossley / Elizabeth Culpin / Alessia D'Amico / Bassam Dabbous / Pedro David Delgado-López / Mohamed Draz / Katharine J. Drummond / Rusiru T. Ekanayaka / Ibrahim Elmaadawi / Omar Elmandouh / Mazin Elsharif / Daisy Evans / Andreas Fahlström / Fleur L. Fisher / Daniel M. Fountain / Keiko Fox / Chloé Gelder / Shamayitri Ghosh / Aimee Goel / Athanasios Grivas / Andrew Gvozdanovic / Allan Hall / Liv Hartrick / Samih Hassan / Jack Henry / Abdurrahman I. Islim / Asgeir S. Jakola / Michael D. Jenkinson / Sanjeeva Jeyaretna / Adrian Jimenez / Andranik Kahramanian / Neeraj Kalra / David O. Kamson / Oliver Kennion / Adham M. Khalafallah / Sarah Kingdon / Howra Ktayen / Aditaya Kumar / Jun Yi Lau / Jing Xian Lee / Ryan Leyden / Patricia Littlechild / Sophie Liu / Darmanin Lora-Kay / Vivia Lung / Stephen T. Magill / Hani J. Marcus / Fawaz E. Marhoom / Ryan K. Mathew / Calan Mathieson / Tobias Mederer / Torstien R. Meling / Samantha J. Mills / Christopher P. Millward / Mujtaba Mohammad / Amir H. Zamanipoor Najafabadi / Olivia Näslund / Imran Noorani / Gildas Patet / Omar N. Pathmanaban / Andrea Perera / Amit Persad / See Yung Phang / Rory J. Piper / Jonathan Pollock / Benjamin Price / Martin Proescholdt / James Robins / Bobby Sachdev / Fozia Saeed / Ieva Sataite / Antony Kevin Scafa / Verena Schadewaldt / Syed Wajahat Shah / Mustafa El Sheikh / Zenab Sher / Bente Sandvei Skeie / Agbolahan Sofela / Jerome St George / Torbjørn Strømsnes / Nigel Suttner / Philip Theodosopoulos / Manjul Tripathi / Ismail Ughratdar / James Ulrich / Adithya Varma / Anil Varma / Maria Velicu / Esther Wu / Jacob Young / Giuseppa Zancana / Catherine Zhang / Karolyn Au / Felix Behling / Linda Bi / Nicholas Butowski / Ana Castro / Marta Couce / Francesco Dimeco / Katherine J. Drummond / Ian Dunn / Craig Erker / Michelle Felicella / Eva Galanis / Norbert Galldiks / Caterina Giannini / Christel Herold-Mende / Luke Hnenny / Craig Horbinski / Gerhard Jungwirth / Timothy Kaufmann / Daniel Lachance / Christian Lafougere / Katrin Lamszus / Serge Makarenko / Tathiana Malta / Jennifer Moliterno-Gunel / HK Ng / Houtan Noushmehr / Arie Perry / Laila Poisson / Bianco Pollo / Aditya Ragunathan / David Raleigh / Franz Ricklefs / Antonio Santacroce / Christian Schichor / Nils Schimdt / Andrew Sloan / Matija Snuderl / Jim Snyder / Erik Sulman / Suganth Suppiah / Marcos Tatagiba / Marco Timmer / Andreas Von Deimling / Tobias Walbert / Justin Z. Wang / Stephen Yip / Gabriel Zada / Viktor Zherebitskiy / Michael T.C. Poon

    BMJ Open, Vol 12, Iss

    protocol for an international multicentre retrospective cohort study

    2022  Volume 1

    Keywords Medicine ; R
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher BMJ Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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