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10.1186/s12885-017-3467-2 http://scihub22266oqcxt.onion/10.1186/s12885-017-3467-2 C5501370!5501370!28683725     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Cancer 2017 ; 17 (ä): ä Nephropedia Template TP {{tp|p=28683725|t=2017. MALDI-TOF-MS analysis in discovery and identification of serum proteomic patterns of ovarian cancer |pdf=|usr=}}{{28683725}} gab.com Text MALDI-TOF-MS analysis in discovery and identification of serum proteomic patterns of ovarian cancer JO: BMC Cancer http://www.kidney.de/pget.php?&tw=1&pmid=28683725 #FOAvip Background: Due to high mortality and lack of efficient screening, new tools for ovarian cancer (OC) diagnosis are urgently needed. To broaden the knowledge on the pathological processes that occur during ovarian cancer tumorigenesis, protein-peptide profiling was proposed. Methods: Serum proteomic patterns in samples from OC patients were obtained using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF). Eighty nine serum samples (44 ovarian cancer and 45 healthy controls) were pretreated using solid-phase extraction method. Next, a classification model with the most discriminative factors was identified using chemometric algorithms. Finally, the results were verified by external validation on an independent test set of samples. Results: Main outcome of this study was an identification of potential OC biomarkers by applying liquid chromatography coupled with tandem mass spectrometry. Application of this novel strategy enabled the identification of four potential OC serum biomarkers (complement C3, kininogen-1, inter-alpha-trypsin inhibitor heavy chain H4, and transthyretin). The role of these proteins was discussed in relation to OC pathomechanism. Conclusions: The study results may contribute to the development of clinically useful multi-component diagnostic tools in OC. In addition, identifying a novel panel of discriminative proteins could provide a new insight into complex signaling and functional networks associated with this multifactorial disease. Electronic supplementary material: The online version of this article (doi:10.1186/s12885-017-3467-2) contains supplementary material, which is available to authorized users. Twit Text FOAVip MALDI-TOF-MS analysis in discovery and identification of serum proteomic patterns of ovarian cancer ????BMC Cancer http://www.kidney.de/pget.php?&tw=1&pmid=28683725 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28683725 #FOAvip English Wikipedia <ref>{{Cite pmid|28683725}}</ref> MALDI-TOF-MS analysis in discovery and identification of serum proteomic patterns of ovarian cancer #MMPMID28683725 Swiatly A; Horala A; Hajduk J; Matysiak J; Nowak-Markwitz E; Kokot ZJ BMC Cancer 2017[]; 17 (ä): ä PMID28683725show ga Background: Due to high mortality and lack of efficient screening, new tools for ovarian cancer (OC) diagnosis are urgently needed. To broaden the knowledge on the pathological processes that occur during ovarian cancer tumorigenesis, protein-peptide profiling was proposed. Methods: Serum proteomic patterns in samples from OC patients were obtained using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF). Eighty nine serum samples (44 ovarian cancer and 45 healthy controls) were pretreated using solid-phase extraction method. Next, a classification model with the most discriminative factors was identified using chemometric algorithms. Finally, the results were verified by external validation on an independent test set of samples. Results: Main outcome of this study was an identification of potential OC biomarkers by applying liquid chromatography coupled with tandem mass spectrometry. Application of this novel strategy enabled the identification of four potential OC serum biomarkers (complement C3, kininogen-1, inter-alpha-trypsin inhibitor heavy chain H4, and transthyretin). The role of these proteins was discussed in relation to OC pathomechanism. Conclusions: The study results may contribute to the development of clinically useful multi-component diagnostic tools in OC. In addition, identifying a novel panel of discriminative proteins could provide a new insight into complex signaling and functional networks associated with this multifactorial disease. Electronic supplementary material: The online version of this article (doi:10.1186/s12885-017-3467-2) contains supplementary material, which is available to authorized users. äMALDI-TOF-MS analysis in discovery and identification of serum proteom(epmc).pdf DeepDyve Pubget Overpricing