It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Ovarian carcinoma remains a leading cause of deaths among carcinomas of the reproductive tract. Common diagnostic procedures are of limited efficacy, and they usually enable diagnosis when the disease is already advanced. This makes it necessary to search for more sensitive and more specific methods of detecting ovarian carcinoma at early stages. The profile of micro-molecular blood proteins reflects the pathological state of the organ, thus enabling to identify carcinoma at an early stage of its growth. Identification of such proteins in blood serum creates the basis for proteomics. The paper deals with contemporary approaches to the predicting of ovarian carcinoma based on the profile of proteins in subjects with ovarian carcinoma at early and advanced stages. Recent research regarding protein markers is discussed, which involves the comparison of protein profiles and the selection of indicator proteins, and then conventional analysing and reviewing of the behaviour of specific proteins, which often occur in negligible amounts, in various environments and different types of ovarian carcinoma.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer