Spatio-Temporal Dynamics of Hypoxia during Radiotherapy
Events
Loading … Spinner

Mendeley | Further Information

{"title"=>"Spatio-temporal dynamics of hypoxia during radiotherapy", "type"=>"journal", "authors"=>[{"first_name"=>"Harald", "last_name"=>"Kempf", "scopus_author_id"=>"36144042800"}, {"first_name"=>"Marcus", "last_name"=>"Bleicher", "scopus_author_id"=>"7006707245"}, {"first_name"=>"Michael", "last_name"=>"Meyer-Hermann", "scopus_author_id"=>"6602091186"}, {"first_name"=>"Sonia", "last_name"=>"Rocha", "scopus_author_id"=>"7006653234"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"26273841", "doi"=>"10.1371/journal.pone.0133357", "sgr"=>"84943173174", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "scopus"=>"2-s2.0-84943173174", "issn"=>"19326203", "pui"=>"606195001"}, "id"=>"c0636a47-9f75-34b7-84c0-642f7a36a8b9", "abstract"=>"Tumour hypoxia plays a pivotal role in cancer therapy for most therapeutic approaches from radiotherapy to immunotherapy. The detailed and accurate knowledge of the oxygen distribution in a tumour is necessary in order to determine the right treatment strategy. Still, due to the limited spatial and temporal resolution of imaging methods as well as lacking fundamental understanding of internal oxygenation dynamics in tumours, the precise oxygen distribution map is rarely available for treatment planing. We employ an agent-based in silico tumour spheroid model in order to study the complex, localized and fast oxygen dynamics in tumour micro-regions which are induced by radiotherapy. A lattice-free, 3D, agent-based approach for cell representation is coupled with a high-resolution diffusion solver that includes a tissue density-dependent diffusion coefficient. This allows us to assess the space- and time-resolved reoxygenation response of a small subvolume of tumour tissue in response to radiotherapy. In response to irradiation the tumour nodule exhibits characteristic reoxygenation and re-depletion dynamics which we resolve with high spatio-temporal resolution. The reoxygenation follows specific timings, which should be respected in treatment in order to maximise the use of the oxygen enhancement effects. Oxygen dynamics within the tumour create windows of opportunity for the use of adjuvant chemotherapeutica and hypoxia-activated drugs. Overall, we show that by using modelling it is possible to follow the oxygenation dynamics beyond common resolution limits and predict beneficial strategies for therapy and in vitro verification. Models of cell cycle and oxygen dynamics in tumours should in the future be combined with imaging techniques, to allow for a systematic experimental study of possible improved schedules and to ultimately extend the reach of oxygenation monitoring available in clinical treatment.", "link"=>"http://www.mendeley.com/research/spatiotemporal-dynamics-hypoxia-during-radiotherapy", "reader_count"=>20, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Librarian"=>1, "Researcher"=>5, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>7, "Student > Master"=>2, "Other"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Librarian"=>1, "Researcher"=>5, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>7, "Student > Master"=>2, "Other"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Engineering"=>1, "Agricultural and Biological Sciences"=>7, "Medicine and Dentistry"=>5, "Physics and Astronomy"=>1, "Chemistry"=>1, "Computer Science"=>4}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>5}, "Chemistry"=>{"Chemistry"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>7}, "Computer Science"=>{"Computer Science"=>4}, "Unspecified"=>{"Unspecified"=>1}}, "reader_count_by_country"=>{"Germany"=>1}, "group_count"=>2}

Scopus | Further Information

{"@_fa"=>"true", "link"=>[{"@_fa"=>"true", "@ref"=>"self", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84943173174"}, {"@_fa"=>"true", "@ref"=>"author-affiliation", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84943173174?field=author,affiliation"}, {"@_fa"=>"true", "@ref"=>"scopus", "@href"=>"https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84943173174&origin=inward"}, {"@_fa"=>"true", "@ref"=>"scopus-citedby", "@href"=>"https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84943173174&origin=inward"}], "prism:url"=>"https://api.elsevier.com/content/abstract/scopus_id/84943173174", "dc:identifier"=>"SCOPUS_ID:84943173174", "eid"=>"2-s2.0-84943173174", "dc:title"=>"Spatio-temporal dynamics of hypoxia during radiotherapy", "dc:creator"=>"Kempf H.", "prism:publicationName"=>"PLoS ONE", "prism:eIssn"=>"19326203", "prism:volume"=>"10", "prism:issueIdentifier"=>"8", "prism:pageRange"=>nil, "prism:coverDate"=>"2015-08-14", "prism:coverDisplayDate"=>"14 August 2015", "prism:doi"=>"10.1371/journal.pone.0133357", "citedby-count"=>"7", "affiliation"=>[{"@_fa"=>"true", "affilname"=>"Frankfurt Institute for Advanced Studies", "affiliation-city"=>"Frankfurt am Main", "affiliation-country"=>"Germany"}, {"@_fa"=>"true", "affilname"=>"Helmholtz Centre for Infection Research (HZI)", "affiliation-city"=>"Braunschweig", "affiliation-country"=>"Germany"}], "pubmed-id"=>"26273841", "prism:aggregationType"=>"Journal", "subtype"=>"ar", "subtypeDescription"=>"Article", "article-number"=>"e0133357", "source-id"=>"10600153309", "openaccess"=>"1", "openaccessFlag"=>true}

Facebook

  • {"url"=>"http%3A%2F%2Fjournals.plos.org%2Fplosone%2Farticle%3Fid%3D10.1371%252Fjournal.pone.0133357", "share_count"=>5, "like_count"=>8, "comment_count"=>0, "click_count"=>0, "total_count"=>13}

Counter

  • {"month"=>"8", "year"=>"2015", "pdf_views"=>"35", "xml_views"=>"5", "html_views"=>"155"}
  • {"month"=>"9", "year"=>"2015", "pdf_views"=>"23", "xml_views"=>"1", "html_views"=>"48"}
  • {"month"=>"10", "year"=>"2015", "pdf_views"=>"26", "xml_views"=>"0", "html_views"=>"76"}
  • {"month"=>"11", "year"=>"2015", "pdf_views"=>"23", "xml_views"=>"0", "html_views"=>"90"}
  • {"month"=>"12", "year"=>"2015", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"98"}
  • {"month"=>"1", "year"=>"2016", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"33"}
  • {"month"=>"2", "year"=>"2016", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"32"}
  • {"month"=>"3", "year"=>"2016", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"47"}
  • {"month"=>"4", "year"=>"2016", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"45"}
  • {"month"=>"5", "year"=>"2016", "pdf_views"=>"14", "xml_views"=>"0", "html_views"=>"32"}
  • {"month"=>"6", "year"=>"2016", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"31"}
  • {"month"=>"7", "year"=>"2016", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"22"}
  • {"month"=>"8", "year"=>"2016", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"15"}
  • {"month"=>"9", "year"=>"2016", "pdf_views"=>"10", "xml_views"=>"0", "html_views"=>"25"}
  • {"month"=>"10", "year"=>"2016", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"28"}
  • {"month"=>"11", "year"=>"2016", "pdf_views"=>"2", "xml_views"=>"0", "html_views"=>"15"}
  • {"month"=>"12", "year"=>"2016", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"18"}
  • {"month"=>"1", "year"=>"2017", "pdf_views"=>"6", "xml_views"=>"2", "html_views"=>"17"}
  • {"month"=>"2", "year"=>"2017", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"28"}
  • {"month"=>"3", "year"=>"2017", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"25"}
  • {"month"=>"4", "year"=>"2017", "pdf_views"=>"11", "xml_views"=>"0", "html_views"=>"21"}
  • {"month"=>"5", "year"=>"2017", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"36"}
  • {"month"=>"6", "year"=>"2017", "pdf_views"=>"1", "xml_views"=>"0", "html_views"=>"25"}
  • {"month"=>"7", "year"=>"2017", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"25"}
  • {"month"=>"8", "year"=>"2017", "pdf_views"=>"5", "xml_views"=>"1", "html_views"=>"10"}
  • {"month"=>"9", "year"=>"2017", "pdf_views"=>"5", "xml_views"=>"1", "html_views"=>"25"}
  • {"month"=>"10", "year"=>"2017", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"25"}
  • {"month"=>"11", "year"=>"2017", "pdf_views"=>"1", "xml_views"=>"0", "html_views"=>"63"}
  • {"month"=>"12", "year"=>"2017", "pdf_views"=>"7", "xml_views"=>"1", "html_views"=>"96"}
  • {"month"=>"1", "year"=>"2018", "pdf_views"=>"4", "xml_views"=>"1", "html_views"=>"24"}
  • {"month"=>"2", "year"=>"2018", "pdf_views"=>"2", "xml_views"=>"1", "html_views"=>"5"}
  • {"month"=>"3", "year"=>"2018", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"11"}
  • {"month"=>"4", "year"=>"2018", "pdf_views"=>"6", "xml_views"=>"1", "html_views"=>"10"}
  • {"month"=>"5", "year"=>"2018", "pdf_views"=>"9", "xml_views"=>"1", "html_views"=>"7"}
  • {"month"=>"6", "year"=>"2018", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"5"}
  • {"month"=>"7", "year"=>"2018", "pdf_views"=>"6", "xml_views"=>"3", "html_views"=>"7"}
  • {"month"=>"8", "year"=>"2018", "pdf_views"=>"3", "xml_views"=>"1", "html_views"=>"6"}
  • {"month"=>"9", "year"=>"2018", "pdf_views"=>"2", "xml_views"=>"0", "html_views"=>"6"}
  • {"month"=>"10", "year"=>"2018", "pdf_views"=>"6", "xml_views"=>"2", "html_views"=>"7"}
  • {"month"=>"11", "year"=>"2018", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"13"}
  • {"month"=>"12", "year"=>"2018", "pdf_views"=>"0", "xml_views"=>"0", "html_views"=>"8"}
  • {"month"=>"1", "year"=>"2019", "pdf_views"=>"12", "xml_views"=>"1", "html_views"=>"19"}
  • {"month"=>"2", "year"=>"2019", "pdf_views"=>"18", "xml_views"=>"0", "html_views"=>"14"}
  • {"month"=>"3", "year"=>"2019", "pdf_views"=>"16", "xml_views"=>"0", "html_views"=>"7"}
  • {"month"=>"4", "year"=>"2019", "pdf_views"=>"18", "xml_views"=>"0", "html_views"=>"17"}
  • {"month"=>"5", "year"=>"2019", "pdf_views"=>"4", "xml_views"=>"1", "html_views"=>"7"}

Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2212932"], "description"=>"<p>Further parameters and sources for cell interaction, nutrient diffusion and consumption can be found in [<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0133357#pone.0133357.ref052\" target=\"_blank\">52</a>] and [<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0133357#pone.0133357.ref056\" target=\"_blank\">56</a>].</p>", "links"=>[], "tags"=>["reoxygenation", "silico tumour spheroid model", "right treatment strategy", "tumour nodule exhibits", "Radiotherapy Tumour hypoxia", "oxygen distribution map", "radiotherapy", "oxygen dynamics", "oxygen enhancement effects", "response", "oxygenation dynamics"], "article_id"=>1511328, "categories"=>["Biological Sciences"], "users"=>["Harald Kempf", "Marcus Bleicher", "Michael Meyer-Hermann"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133357.t001", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Listing_of_parameters_used_in_the_model_/1511328", "title"=>"Listing of parameters used in the model.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-08-14 03:09:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2212930"], "description"=>"<p>Persistence and stability of the reoxygenation response during multiple fractions and in prolonged irradiation regimes. Tumours where either irradiated with doses of 2 Gy per 24h (left column) or 4 Gy per 48h (right column). While a stable reoxygenation response can be observed, full reoxygenation is only possible if oxygen enhancement effects are suppressed via <i>O</i><sub>max</sub> = 1 as shown in the bottom row.</p>", "links"=>[], "tags"=>["reoxygenation", "silico tumour spheroid model", "right treatment strategy", "tumour nodule exhibits", "Radiotherapy Tumour hypoxia", "oxygen distribution map", "radiotherapy", "oxygen dynamics", "oxygen enhancement effects", "response", "oxygenation dynamics"], "article_id"=>1511326, "categories"=>["Biological Sciences"], "users"=>["Harald Kempf", "Marcus Bleicher", "Michael Meyer-Hermann"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133357.g006", "stats"=>{"downloads"=>3, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Reoxygenation_during_repeated_radiation_delivery_/1511326", "title"=>"Reoxygenation during repeated radiation delivery.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-14 03:09:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2212926"], "description"=>"<p>Irradiation has been performed with a dose of 4 Gy at day 14, either with normal oxygen enhancement (<i>O</i><sub>max</sub> = 2.9, left column) or with suppressed oxygen enhancement (<i>O</i><sub>max</sub> = 1, right column). (<b>a-b</b>) Pre- (left) and post-radiation (right) cutsection with oxygenation staining of cells as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0133357#pone.0133357.g003\" target=\"_blank\">Fig 3(c) and 3(d)</a>. (<b>c-d</b>) Fraction of cells which are subjected to different oxygen levels during growth and irradiation. Dot marker shows treatment-induced increase in hypoxic cells and star marker the regrowth-induced increase (refer to main text for details). (<b>e-f</b>) Lateral concentration profile of oxygen in the tumour spheroid at different time points during growth and treatment.</p>", "links"=>[], "tags"=>["reoxygenation", "silico tumour spheroid model", "right treatment strategy", "tumour nodule exhibits", "Radiotherapy Tumour hypoxia", "oxygen distribution map", "radiotherapy", "oxygen dynamics", "oxygen enhancement effects", "response", "oxygenation dynamics"], "article_id"=>1511322, "categories"=>["Biological Sciences"], "users"=>["Harald Kempf", "Marcus Bleicher", "Michael Meyer-Hermann"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133357.g004", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Reoxygenation_of_the_spheroid_in_response_to_a_single_radiation_dose_/1511322", "title"=>"Reoxygenation of the spheroid in response to a single radiation dose.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-14 03:09:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2212934"], "description"=>"<div><p>Tumour hypoxia plays a pivotal role in cancer therapy for most therapeutic approaches from radiotherapy to immunotherapy. The detailed and accurate knowledge of the oxygen distribution in a tumour is necessary in order to determine the right treatment strategy. Still, due to the limited spatial and temporal resolution of imaging methods as well as lacking fundamental understanding of internal oxygenation dynamics in tumours, the precise oxygen distribution map is rarely available for treatment planing. We employ an agent-based <i>in silico</i> tumour spheroid model in order to study the complex, localized and fast oxygen dynamics in tumour micro-regions which are induced by radiotherapy. A lattice-free, 3D, agent-based approach for cell representation is coupled with a high-resolution diffusion solver that includes a tissue density-dependent diffusion coefficient. This allows us to assess the space- and time-resolved reoxygenation response of a small subvolume of tumour tissue in response to radiotherapy. In response to irradiation the tumour nodule exhibits characteristic reoxygenation and re-depletion dynamics which we resolve with high spatio-temporal resolution. The reoxygenation follows specific timings, which should be respected in treatment in order to maximise the use of the oxygen enhancement effects. Oxygen dynamics within the tumour create windows of opportunity for the use of adjuvant chemotherapeutica and hypoxia-activated drugs. Overall, we show that by using modelling it is possible to follow the oxygenation dynamics beyond common resolution limits and predict beneficial strategies for therapy and <i>in vitro</i> verification. Models of cell cycle and oxygen dynamics in tumours should in the future be combined with imaging techniques, to allow for a systematic experimental study of possible improved schedules and to ultimately extend the reach of oxygenation monitoring available in clinical treatment.</p></div>", "links"=>[], "tags"=>["reoxygenation", "silico tumour spheroid model", "right treatment strategy", "tumour nodule exhibits", "Radiotherapy Tumour hypoxia", "oxygen distribution map", "radiotherapy", "oxygen dynamics", "oxygen enhancement effects", "response", "oxygenation dynamics"], "article_id"=>1511330, "categories"=>["Biological Sciences"], "users"=>["Harald Kempf", "Marcus Bleicher", "Michael Meyer-Hermann"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133357", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Spatio_Temporal_Dynamics_of_Hypoxia_during_Radiotherapy_/1511330", "title"=>"Spatio-Temporal Dynamics of Hypoxia during Radiotherapy", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-14 03:09:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2212916"], "description"=>"<p>Illustration of selected hypoxia sources and a hypoxic tumour micro-region in tumour tissue. Hypoxic micro-regions will usually form a characteristic tiled pattern throughout a tumour. For <i>in vitro</i> examples of patterning in tumour xenografts see Fig 2 in reference [<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0133357#pone.0133357.ref013\" target=\"_blank\">13</a>].</p>", "links"=>[], "tags"=>["reoxygenation", "silico tumour spheroid model", "right treatment strategy", "tumour nodule exhibits", "Radiotherapy Tumour hypoxia", "oxygen distribution map", "radiotherapy", "oxygen dynamics", "oxygen enhancement effects", "response", "oxygenation dynamics"], "article_id"=>1511312, "categories"=>["Biological Sciences"], "users"=>["Harald Kempf", "Marcus Bleicher", "Michael Meyer-Hermann"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133357.g001", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Hypoxia_sources_in_tumours_and_diffusion_range_of_substances_/1511312", "title"=>"Hypoxia sources in tumours and diffusion range of substances.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-14 03:09:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2212929"], "description"=>"<div><p>(<b>a-d</b>) Change in the oxygen concentration (left column, difference in mM) and the density-dependent oxygen diffusion coefficient (right column, difference in μm<sup>2</sup>/s) between a pre- and post-radiated tumour state. Visualisation shows the difference in a central cutslice of the diffusion system (x and y denote grid nodes over 1000 μm, z and the color palette illustrate the difference in the according units). (a-b) show the rise in local oxygen concentration and the increase in the diffusivity as difference between a pre-radiated state and 12 hours after irradiation with 4 Gy and <i>O</i><sub>max</sub> = 2.9, (c-d) for 4 Gy and <i>O</i><sub>max</sub> = 1 with 24 hours difference. The dissolution and permeabilisation of dead cells will lead to a significant rise of oxygen diffusion into the tumour bulk. This influx is in parts due to a lower local consumption but also due to local increase in tissue diffusivity.</p>\n<p>(<b>e</b>) Integral oxygen <i>P</i>(<i>t</i>) in the tumour spheroid in response to a single irradiation dose of 4 Gy x-rays at day 14 with full or suppressed oxygen enhancement in effect. The integral signal can be quantitatively compared to PET signals.</p></div>", "links"=>[], "tags"=>["reoxygenation", "silico tumour spheroid model", "right treatment strategy", "tumour nodule exhibits", "Radiotherapy Tumour hypoxia", "oxygen distribution map", "radiotherapy", "oxygen dynamics", "oxygen enhancement effects", "response", "oxygenation dynamics"], "article_id"=>1511325, "categories"=>["Biological Sciences"], "users"=>["Harald Kempf", "Marcus Bleicher", "Michael Meyer-Hermann"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133357.g005", "stats"=>{"downloads"=>3, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Changes_in_oxygenation_and_diffusivity_in_response_to_irradiation_and_integral_oxygen_concentration_as_PET_equivalent_/1511325", "title"=>"Changes in oxygenation and diffusivity in response to irradiation and integral oxygen concentration as PET-equivalent.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-14 03:09:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2212925"], "description"=>"<p>(<b>a</b>) Central cut-section through an <i>in silico</i> EMT6 tumour spheroid after 12 days of growth. Normoxic cells (pO<sub>2</sub> > 2.5%) in blue, cells below 2.5% pO<sub>2</sub> in purple, below 0.5% in red and necrotic cells in grey. Slice thickness is 40 μm. Compare to the <i>in vitro</i> immunodetection of pimonidazole in hypoxic cells in the peri-necrotic regions of a tumour spheroids (T47D after 10–14 days of growth) in Fig 3a in [<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0133357#pone.0133357.ref080\" target=\"_blank\">80</a>] (bar size in both images 50 μm). (<b>b</b>) Lateral concentration profiles of glucose and oxygen. The higher reach of survival-promoting glucose will lead to the formation of an anoxic region (between grey and brown dashed line). Hypoxic cells will be found in low-oxygen regions (between red and grey dashed line) and normoxic cells beyond the red dashed line. Compare also reference [<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0133357#pone.0133357.ref001\" target=\"_blank\">1</a>]. (<b>c</b>) Central cut-section of 40 μm thickness through an <i>in silico</i> EMT6 tumour with oxygen-dependent staining after 2, 6.5, 8.3, 9.5 and 10.2 days of growth. Cell staining corresponds to the line color in graph (d) (green cells are above 7.8%pO<sub>2</sub>). (<b>d</b>) Development of cell populations below defined oxygen concentrations in the spheroid as visualised in (c).</p>", "links"=>[], "tags"=>["reoxygenation", "silico tumour spheroid model", "right treatment strategy", "tumour nodule exhibits", "Radiotherapy Tumour hypoxia", "oxygen distribution map", "radiotherapy", "oxygen dynamics", "oxygen enhancement effects", "response", "oxygenation dynamics"], "article_id"=>1511321, "categories"=>["Biological Sciences"], "users"=>["Harald Kempf", "Marcus Bleicher", "Michael Meyer-Hermann"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133357.g003", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distribution_of_nutrients_in_the_spheroid_and_de_oxygenation_during_growth_/1511321", "title"=>"Distribution of nutrients in the spheroid and de-oxygenation during growth.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-14 03:09:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2212919"], "description"=>"<p>(<b>a</b>) Overview of the cell cycle regulation, cell responses to environmental factors and radiation. (<b>b</b>) Survival curves for cells in specific cycle phases and with increased radioresistance due to quiescence, as described with the linear-quadratic model <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0133357#pone.0133357.e014\" target=\"_blank\">Eq 5</a>. (<b>c</b>) Dependency of the oxygen enhancement ratio on the local oxygen concentration employed in order to alter the radiation response for hypoxic cells according to <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0133357#pone.0133357.e015\" target=\"_blank\">Eq 6</a>, calculated according to equation 8 from [<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0133357#pone.0133357.ref059\" target=\"_blank\">59</a>].</p>", "links"=>[], "tags"=>["reoxygenation", "silico tumour spheroid model", "right treatment strategy", "tumour nodule exhibits", "Radiotherapy Tumour hypoxia", "oxygen distribution map", "radiotherapy", "oxygen dynamics", "oxygen enhancement effects", "response", "oxygenation dynamics"], "article_id"=>1511315, "categories"=>["Biological Sciences"], "users"=>["Harald Kempf", "Marcus Bleicher", "Michael Meyer-Hermann"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133357.g002", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Regulation_of_the_cell_cycle_and_radiation_reaction_/1511315", "title"=>"Regulation of the cell cycle and radiation reaction.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-14 03:09:51"}

PMC Usage Stats | Further Information

  • {"unique-ip"=>"7", "full-text"=>"6", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"8"}
  • {"unique-ip"=>"24", "full-text"=>"23", "pdf"=>"10", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"9", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"9"}
  • {"unique-ip"=>"12", "full-text"=>"11", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"10"}
  • {"unique-ip"=>"11", "full-text"=>"7", "pdf"=>"10", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
  • {"unique-ip"=>"16", "full-text"=>"14", "pdf"=>"16", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"11"}
  • {"unique-ip"=>"15", "full-text"=>"11", "pdf"=>"11", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"12"}
  • {"unique-ip"=>"29", "full-text"=>"19", "pdf"=>"14", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"1"}
  • {"unique-ip"=>"7", "full-text"=>"6", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"3"}
  • {"unique-ip"=>"8", "full-text"=>"7", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"5"}
  • {"unique-ip"=>"10", "full-text"=>"7", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"7"}
  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"8"}
  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"9"}
  • {"unique-ip"=>"10", "full-text"=>"8", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"10"}
  • {"unique-ip"=>"3", "full-text"=>"4", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"11"}
  • {"unique-ip"=>"7", "full-text"=>"8", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
  • {"unique-ip"=>"5", "full-text"=>"3", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"1"}
  • {"unique-ip"=>"9", "full-text"=>"8", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
  • {"unique-ip"=>"8", "full-text"=>"8", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
  • {"unique-ip"=>"4", "full-text"=>"2", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"4"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"5"}
  • {"unique-ip"=>"1", "full-text"=>"1", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"6"}
  • {"unique-ip"=>"1", "full-text"=>"0", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
  • {"unique-ip"=>"4", "full-text"=>"5", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"8"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"11", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
  • {"unique-ip"=>"5", "full-text"=>"6", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
  • {"unique-ip"=>"6", "full-text"=>"3", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"1"}
  • {"unique-ip"=>"7", "full-text"=>"6", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
  • {"unique-ip"=>"7", "full-text"=>"9", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"3", "full-text"=>"7", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"3", "full-text"=>"5", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
  • {"unique-ip"=>"5", "full-text"=>"4", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
  • {"unique-ip"=>"12", "full-text"=>"13", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"6"}
  • {"unique-ip"=>"6", "full-text"=>"4", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"4", "full-text"=>"3", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}

Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
Loading … Spinner
There are currently no alerts