Dec 28 2009
Compugen Ltd. (NASDAQ: CGEN) announced today the discovery and 
      experimental validation of CGEN-671, a new drug target for multiple 
      epithelial tumors. CGEN-671 is a membrane splice variant of CD55, a 
      known drug target for gastric cancer for which monoclonal antibody (mAb) 
      therapeutics are in clinical development by others. The potential 
      application of CGEN-671 as a drug target was initially predicted in 
      silico by Compugen through the use of its Monoclonal Antibody 
      Targets Discovery Platform; the predicted molecule was then validated 
      experimentally in multiple epithelial tumors. Epithelial tumors, also 
      referred to as carcinomas, account for approximately 85% of all cancers, 
      including the ten most prevalent cancers in the western world, such as 
      breast, colorectal, lung, ovary, prostate and skin. Compugen has filed 
      patent applications covering this novel splice variant and its various 
      therapeutic and diagnostic utilities.
    
    
      Initial experimental studies confirmed the existence of the predicted 
      CGEN-671 transcript (mRNA) and demonstrated that, compared with normal 
      tissue samples, it is highly expressed in colon carcinoma tissue. 
      Furthermore, in these mRNA experiments, CGEN-671’s expression level in 
      various healthy tissues was up to 200 times lower than the expression 
      level of the previously known cancer target CD55, suggesting that the 
      Compugen discovered splice variant should be a superior drug target 
      candidate for cancer treatment. In addition, the in silico 
      prediction of CGEN-671 identified a unique sequence present in 
      CGEN-671’s extracellular domain that is not present in CD55. This 
      sequence allows for the development of antibodies that specifically bind 
      to CGEN-671 and do not recognize CD55.
    
    
      Recently concluded immunohistochemistry (IHC) studies, by independent 
      pathologists using CGEN-671 specific antibodies, further confirmed the 
      predicted potential for CGEN-671 to serve as a therapeutic mAb target 
      for colorectal, breast and lung cancer. In these studies, it was shown 
      that CGEN-671 was over expressed in more than 75% of the tissue sections 
      derived from the colorectal cancer samples and had a very low expression 
      in most samples of normal colon tissue. Similar results were seen in 
      breast cancer, where 75% of the tumor samples demonstrated significant 
      over expression. In lung cancer, 50% of the tumor samples had over 
      expression compared with normal tissues. These IHC results from diseased 
      and healthy tissue sections strongly suggest significant potential for 
      CGEN-671 as a drug target for clinical development of various types of 
      mAb drug therapy for colorectal, breast and lung carcinomas, and 
      possibly for additional epithelial derived tumors.
    
    
      Dr. Anat Cohen-Dayag, president and co-CEO of Compugen, stated, “We are 
      extremely pleased to see Compugen’s continuing success in utilizing its 
      predictive platforms to discover previously unknown candidate molecules 
      in key areas of unmet medical need. Also, of major significance for us 
      is the fact that we have reached the point where we are now using 
      multiple predictive capabilities in combination to accomplish this. The 
      very exciting discovery and validation of CGEN-671 being announced today 
      as well as the oncology target that is the subject of our recently 
      announced collaboration with Bayer Schering Pharma, are excellent 
      examples of the unique capabilities obtained by combining synergistic 
      predictive platforms, in these cases, alternative splicing and the 
      identification of targets for monoclonal antibodies. In addition, the 
      product candidate discovery platform that led to these oncology target 
      discoveries, along with dozens of other potential mAb drug targets now 
      at various stages of validation, uses both LEADS and MED, two of our 
      most sophisticated infrastructure platforms. After more than a decade 
      building these capabilities, it is of course very gratifying to begin to 
      see the results of these efforts.”
    
http://www.cgen.com/