Matches in SemOpenAlex for { <https://semopenalex.org/work/W2958018840> ?p ?o ?g. }
- W2958018840 endingPage "156" @default.
- W2958018840 startingPage "145" @default.
- W2958018840 abstract "Aim The negative impact of tumour hypoxia on cancer treatment outcome has been long-known, yet there has been little success combating it. This paper investigates the potential role of in silico modelling to help test emerging hypoxia-targeting treatments in cancer therapy. Methods A Medline search was undertaken on the current landscape of in silico models that simulate cancer therapy and evaluate their ability to test hypoxia-targeting treatments. Techniques and treatments to combat tumour hypoxia and their current challenges are also presented. Results Hypoxia-targeting treatments include tumour reoxygenation, hypoxic cell radiosensitization with nitroimidazoles, hypoxia-activated prodrugs and molecular targeting. Their main challenges are toxicity and not achieving adequate delivery to hypoxic regions of the tumour. There is promising research toward combining two or more of these techniques. Different types of in silico therapy models have been developed ranging from temporal to spatial and from stochastic to deterministic models. Numerous models have compared the effectiveness of different radiotherapy fractionation schedules for controlling hypoxic tumours. Similarly, models could help identify and optimize new treatments for overcoming hypoxia that utilize novel hypoxia-targeting technology. Conclusion Current therapy models should attempt to incorporate more sophisticated modelling of tumour angiogenesis/vasculature and vessel perfusion in order to become more useful for testing hypoxia-targeting treatments, which typically rely upon the tumour vasculature for delivery of additional oxygen, (pro)drugs and nanoparticles." @default.
- W2958018840 created "2019-07-23" @default.
- W2958018840 creator A5009380500 @default.
- W2958018840 creator A5027460327 @default.
- W2958018840 creator A5064065655 @default.
- W2958018840 date "2019-08-01" @default.
- W2958018840 modified "2023-10-16" @default.
- W2958018840 title "Approaches to combat hypoxia in cancer therapy and the potential for in silico models in their evaluation" @default.
- W2958018840 cites W1491153233 @default.
- W2958018840 cites W1529801185 @default.
- W2958018840 cites W1552620410 @default.
- W2958018840 cites W1599672108 @default.
- W2958018840 cites W1691680131 @default.
- W2958018840 cites W1751411326 @default.
- W2958018840 cites W1910034249 @default.
- W2958018840 cites W1914131546 @default.
- W2958018840 cites W1964642350 @default.
- W2958018840 cites W1977334306 @default.
- W2958018840 cites W1991311137 @default.
- W2958018840 cites W1992116891 @default.
- W2958018840 cites W1992628502 @default.
- W2958018840 cites W1995287452 @default.
- W2958018840 cites W1999205993 @default.
- W2958018840 cites W2000769939 @default.
- W2958018840 cites W2004065286 @default.
- W2958018840 cites W2004678981 @default.
- W2958018840 cites W2004992022 @default.
- W2958018840 cites W2009347528 @default.
- W2958018840 cites W2019922484 @default.
- W2958018840 cites W2022342238 @default.
- W2958018840 cites W2024903578 @default.
- W2958018840 cites W2026812997 @default.
- W2958018840 cites W2027041776 @default.
- W2958018840 cites W2027458673 @default.
- W2958018840 cites W2033634503 @default.
- W2958018840 cites W2035663157 @default.
- W2958018840 cites W2039945538 @default.
- W2958018840 cites W2041001613 @default.
- W2958018840 cites W2041967042 @default.
- W2958018840 cites W2042741034 @default.
- W2958018840 cites W2046981853 @default.
- W2958018840 cites W2047470479 @default.
- W2958018840 cites W2051294938 @default.
- W2958018840 cites W2055855734 @default.
- W2958018840 cites W2056942118 @default.
- W2958018840 cites W2060683289 @default.
- W2958018840 cites W2062712893 @default.
- W2958018840 cites W2067796149 @default.
- W2958018840 cites W2070163721 @default.
- W2958018840 cites W2071974770 @default.
- W2958018840 cites W2073399837 @default.
- W2958018840 cites W2077679212 @default.
- W2958018840 cites W2087604644 @default.
- W2958018840 cites W2087704303 @default.
- W2958018840 cites W2089253822 @default.
- W2958018840 cites W2091894720 @default.
- W2958018840 cites W2093155570 @default.
- W2958018840 cites W2094634315 @default.
- W2958018840 cites W2096921397 @default.
- W2958018840 cites W2098964189 @default.
- W2958018840 cites W2101569932 @default.
- W2958018840 cites W2102141317 @default.
- W2958018840 cites W2104977208 @default.
- W2958018840 cites W2115070149 @default.
- W2958018840 cites W2122975102 @default.
- W2958018840 cites W2126061354 @default.
- W2958018840 cites W2129482170 @default.
- W2958018840 cites W2129861570 @default.
- W2958018840 cites W2131379143 @default.
- W2958018840 cites W2132904123 @default.
- W2958018840 cites W2135238404 @default.
- W2958018840 cites W2143686498 @default.
- W2958018840 cites W2146952387 @default.
- W2958018840 cites W2152707957 @default.
- W2958018840 cites W2153824646 @default.
- W2958018840 cites W2154981748 @default.
- W2958018840 cites W2155060216 @default.
- W2958018840 cites W21553284 @default.
- W2958018840 cites W2156311525 @default.
- W2958018840 cites W2158045519 @default.
- W2958018840 cites W2161528372 @default.
- W2958018840 cites W2173311276 @default.
- W2958018840 cites W2189227215 @default.
- W2958018840 cites W2225096088 @default.
- W2958018840 cites W2268788143 @default.
- W2958018840 cites W2273280718 @default.
- W2958018840 cites W2289016838 @default.
- W2958018840 cites W2303515996 @default.
- W2958018840 cites W2336836121 @default.
- W2958018840 cites W2408212242 @default.
- W2958018840 cites W2461020961 @default.
- W2958018840 cites W2464310977 @default.
- W2958018840 cites W2464855814 @default.
- W2958018840 cites W2512088627 @default.
- W2958018840 cites W2518615277 @default.
- W2958018840 cites W2520458702 @default.
- W2958018840 cites W2521954774 @default.
- W2958018840 cites W2522628092 @default.