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10.3390/ijms18061258 http://scihub22266oqcxt.onion/10.3390/ijms18061258 C5486080/?report=reader!5486080!C5486080     free     free     free Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Mol+Sci 2017 ; 18 (6): ä Nephropedia Template TP {{tp|p=C5486080|t=2017. Deconstructing Signaling Pathways in Cancer for Optimizing Cancer Combination Therapies |pdf=|usr=}}{{C5486080}} gab.com Text Deconstructing Signaling Pathways in Cancer for Optimizing Cancer Combination Therapies JO: Int J Mol Sci http://www.kidney.de/pget.php?&tw=1&pmid=C5486080 #FOAvip A single cancer cell left behind after surgery and/or chemotherapy could cause a recurrence of cancer. It is our belief that the failure of chemotherapies is the failure to induce apoptosis in all cancer cells. Given the extraordinary heterogeneity of cancer, it is very difficult to eliminate all cancer cells with a single agent targeting a particular gene product. Furthermore, combinations of any two or three agents exhibiting some proven efficacy on a particular cancer type have not fared better, often compounding adverse effects without evidence of expected synergistic effects. Thus, it is imperative that a way be found to select candidates that when combined, will (1) synergize, making the combination therapy greater than the sum of its parts, and (2) target all the cancer cells in a patient. In this article, we discuss our experience and relation to current evidence in the cancer treatment literature in which, by deconstructing signaling networks, we have identified a lynchpin that connects the growth signals present in cancer with mitochondria-dependent apoptotic pathways. By targeting this lynchpin, we have added a key component to a combination therapy that sensitizes cancer cells for apoptosis. Twit Text FOAVip Deconstructing Signaling Pathways in Cancer for Optimizing Cancer Combination Therapies ????Int J Mol Sci http://www.kidney.de/pget.php?&tw=1&pmid=C5486080 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=C5486080 #FOAvip English Wikipedia <ref>{{Cite pmid|C5486080}}</ref> Deconstructing Signaling Pathways in Cancer for Optimizing Cancer Combination Therapies #MMPMIDC5486080 Yamaguchi R; Perkins G Int J Mol Sci 2017[Jun]; 18 (6): ä PMIDC5486080show ga A single cancer cell left behind after surgery and/or chemotherapy could cause a recurrence of cancer. It is our belief that the failure of chemotherapies is the failure to induce apoptosis in all cancer cells. Given the extraordinary heterogeneity of cancer, it is very difficult to eliminate all cancer cells with a single agent targeting a particular gene product. Furthermore, combinations of any two or three agents exhibiting some proven efficacy on a particular cancer type have not fared better, often compounding adverse effects without evidence of expected synergistic effects. Thus, it is imperative that a way be found to select candidates that when combined, will (1) synergize, making the combination therapy greater than the sum of its parts, and (2) target all the cancer cells in a patient. In this article, we discuss our experience and relation to current evidence in the cancer treatment literature in which, by deconstructing signaling networks, we have identified a lynchpin that connects the growth signals present in cancer with mitochondria-dependent apoptotic pathways. By targeting this lynchpin, we have added a key component to a combination therapy that sensitizes cancer cells for apoptosis. äDeconstructing Signaling Pathways in Cancer for Optimizing Cancer Comb(epmc).pdf DeepDyve Pubget Overpricing