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10.1158/0008-5472.CAN-15-2455 http://scihub22266oqcxt.onion/10.1158/0008-5472.CAN-15-2455 C4775382!4775382!26880806     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Cancer+Res 2016 ; 76 (5): 994-8 Nephropedia Template TP {{tp|p=26880806|t=2016. At the Crossroads of Cancer Stem Cells, Radiation Biology and Radiation Oncology |pdf=|usr=}}{{26880806}} gab.com Text At the Crossroads of Cancer Stem Cells, Radiation Biology and Radiation Oncology JO: Cancer Res http://www.kidney.de/pget.php?&tw=1&pmid=26880806 #FOAvip Reports that a small subset of tumor cells initiate and sustain tumor growth, are resistant to radiation and drugs, and bear specific markers, have lead to an explosion of cancer stem cell research. These reports imply that the evaluation of therapeutic response by changes in tumor volume is misleading, as volume changes reflects the response of the sensitive rather than the resistant tumorgenic cell population. The reports further suggest that the marker based selection of the tumor cell population will facilitate the development of radiation treatment schedules, sensitizers and drugs which specifically target the resistant tumorgenic cells that give rise to treatment failure. This review presents evidence that contests the observations that cancer stem cell markers reliably identify the subset of tumor cells which sustain tumor growth, and that the marker identified population is radioresistant relative to the marker-negative cells. Experimental studies show that cells and tumors that survive large radiation doses are not more radioresistant than unirradiated cells and tumors, and also show that the intrinsic radiosensitivity of unsorted colony forming tumor cells, in combination with the fraction of unsorted tumor cells that are tumor initiating, predicts tumor radiocurability. Twit Text FOAVip At the Crossroads of Cancer Stem Cells, Radiation Biology and Radiation Oncology ????Cancer Res http://www.kidney.de/pget.php?&tw=1&pmid=26880806 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26880806 #FOAvip English Wikipedia <ref>{{Cite pmid|26880806}}</ref> At the Crossroads of Cancer Stem Cells, Radiation Biology and Radiation Oncology #MMPMID26880806 Gerweck LE; Wakimoto H Cancer Res 2016[Mar]; 76 (5): 994-8 PMID26880806show ga Reports that a small subset of tumor cells initiate and sustain tumor growth, are resistant to radiation and drugs, and bear specific markers, have lead to an explosion of cancer stem cell research. These reports imply that the evaluation of therapeutic response by changes in tumor volume is misleading, as volume changes reflects the response of the sensitive rather than the resistant tumorgenic cell population. The reports further suggest that the marker based selection of the tumor cell population will facilitate the development of radiation treatment schedules, sensitizers and drugs which specifically target the resistant tumorgenic cells that give rise to treatment failure. This review presents evidence that contests the observations that cancer stem cell markers reliably identify the subset of tumor cells which sustain tumor growth, and that the marker identified population is radioresistant relative to the marker-negative cells. Experimental studies show that cells and tumors that survive large radiation doses are not more radioresistant than unirradiated cells and tumors, and also show that the intrinsic radiosensitivity of unsorted colony forming tumor cells, in combination with the fraction of unsorted tumor cells that are tumor initiating, predicts tumor radiocurability. äAt the Crossroads of Cancer Stem Cells, Radiation Biology and Radiatio(epmc).pdf DeepDyve Pubget Overpricing