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10.1016/j.celrep.2018.03.050 http://scihub22266oqcxt.onion/10.1016/j.celrep.2018.03.050 C5916809!5916809!29617662     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Cell+Rep 2018 ; 23 (1): 227-238.e3 Nephropedia Template TP {{tp|p=29617662|t=2018. Driver Fusions and Their Implications in the Development and Treatment of Human Cancers |pdf=|usr=}}{{29617662}} gab.com Text Driver Fusions and Their Implications in the Development and Treatment of Human Cancers JO: Cell Rep http://www.kidney.de/pget.php?&tw=1&pmid=29617662 #FOAvip Gene fusions represent an important class of somatic alterations in cancer. We systematically investigated fusions in 9,624 tumors across 33 cancer types using multiple fusion calling tools. We identified a total of 25,664 fusions, with a 63% validation rate. Integration of gene expression, copy number, and fusion annotation data revealed that fusions involving oncogenes tend to exhibit increased expression, whereas fusions involving tumor suppressors have the opposite effect. For fusions involving kinases, we found 1,275 with an intact kinase domain, the proportion of which varied significantly across cancer types. Our study suggests that fusions drive the development of 16.5% of cancer cases and function as the sole driver in more than 1% of them. Finally, we identified druggable fusions involving genes such as TMPRSS2, RET, FGFR3, ALK, and ESR1 in 6.0% of cases, and we predicted immunogenic peptides, suggesting that fusions may provide leads for targeted drug and immune therapy. Twit Text FOAVip Driver Fusions and Their Implications in the Development and Treatment of Human Cancers ????Cell Rep http://www.kidney.de/pget.php?&tw=1&pmid=29617662 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29617662 #FOAvip English Wikipedia <ref>{{Cite pmid|29617662}}</ref> Driver Fusions and Their Implications in the Development and Treatment of Human Cancers #MMPMID29617662 Gao Q; Liang WW; Foltz SM; Mutharasu G; Jayasinghe RG; Cao S; Liao WW; Reynolds SM; Wyczalkowski MA; Yao L; Yu L; Sun SQ; Chen K; Lazar AJ; Fields RC; Wendl MC; Van Tine BA; Vij R; Chen F; Nykter M; Shmulevich I; Ding L Cell Rep 2018[Apr]; 23 (1): 227-238.e3 PMID29617662show ga Gene fusions represent an important class of somatic alterations in cancer. We systematically investigated fusions in 9,624 tumors across 33 cancer types using multiple fusion calling tools. We identified a total of 25,664 fusions, with a 63% validation rate. Integration of gene expression, copy number, and fusion annotation data revealed that fusions involving oncogenes tend to exhibit increased expression, whereas fusions involving tumor suppressors have the opposite effect. For fusions involving kinases, we found 1,275 with an intact kinase domain, the proportion of which varied significantly across cancer types. Our study suggests that fusions drive the development of 16.5% of cancer cases and function as the sole driver in more than 1% of them. Finally, we identified druggable fusions involving genes such as TMPRSS2, RET, FGFR3, ALK, and ESR1 in 6.0% of cases, and we predicted immunogenic peptides, suggesting that fusions may provide leads for targeted drug and immune therapy. äDriver Fusions and Their Implications in the Development and Treatment(epmc).pdf DeepDyve Pubget Overpricing