{"id":32504,"date":"2014-05-05T16:42:31","date_gmt":"2014-05-05T20:42:31","guid":{"rendered":"http:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/bioinformatics-approach-helps-researchers-find-new-uses-for-old-drug\/"},"modified":"2014-05-05T16:42:31","modified_gmt":"2014-05-05T20:42:31","slug":"bioinformatics-approach-helps-researchers-find-new-uses-for-old-drug","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/transhuman-news-blog\/gene-medicine\/bioinformatics-approach-helps-researchers-find-new-uses-for-old-drug\/","title":{"rendered":"Bioinformatics approach helps researchers find new uses for old drug"},"content":{"rendered":"<p><p>    PUBLIC RELEASE DATE:  <\/p>\n<p>    5-May-2014  <\/p>\n<p>    Contact: Bonnie Prescott    <a href=\"mailto:bprescot@bidmc.harvard.edu\">bprescot@bidmc.harvard.edu<\/a>    617-667-7306    Beth Israel Deaconess Medical    Center<\/p>\n<p>    BOSTON -- Developing and testing a new anti-cancer drug can    cost billions of dollars and take many years of research.    Finding an effective anti-cancer medication from the pool of    drugs already approved for the treatment of other medical    conditions could cut a considerable amount of time and money    from the process.  <\/p>\n<p>    Now, using a novel bioinformatics approach, a team led by    investigators at Beth Israel Deaconess Medical Center (BIDMC)    has found that the approved antimicrobial drug pentamidine may    help in the treatment of patients with advanced kidney cancer.    Described online in the journal Molecular Cancer    Therapeutics, the discovery reveals how linking cancer gene    expression patterns with drug activity might help advance    cancer care.  <\/p>\n<p>    \"The strategy of repurposing drugs that are currently being    used for other indications is of significant interest to the    medical community as well as the pharmaceutical and biotech    industries,\" says senior author Towia Libermann, PhD, Director    of the Genomics, Proteomics, Bioinformatics and Systems Biology    Center at BIDMC and Associate Professor of Medicine at Harvard    Medical School. \"Our results demonstrate that bioinformatics    approaches involving the analysis and matching of cancer and    drug gene signatures can indeed help us identify new candidate    cancer therapeutics.\"  <\/p>\n<p>    Renal cell cancer consists of multiple subtypes that are likely    caused by different genetic mutations. Over the years,    Libermann has been working to identify new disease markers and    therapeutic targets through gene expression signatures of renal    cell cancer that distinguish these different cancer subtypes    from each other, as well as from healthy individuals. In this    new paper, he and his colleagues were looking for drugs that    might be effective against clear cell renal cancer, the most    common and highly malignant subtype of kidney cancer. Although    patients with early stage disease can often be successfully    treated through surgery, up to 30 percent of patients with    renal cell cancer present with advanced stages of disease at    the time of their diagnosis.  <\/p>\n<p>    To pursue this search, they made use of the Connectivity Map    (C-MAP) database, a collection of gene expression data from    human cancer cells treated with hundreds of small molecule    drugs.  <\/p>\n<p>    \"C-MAP uses pattern-matching algorithms to enable investigators    to make connections between drugs, genes and diseases through    common, but inverse, changes in gene expression,\" says    Libermann. \"It provided us with an exciting opportunity to use    our renal cell cancer gene signatures and a new bioinformatics    strategy to match kidney cancer gene expression profiles from    individual patients with gene expression changes inducted by    various commonly used drugs.\"  <\/p>\n<p>    After identifying drugs that may reverse the gene expression    changes associated with renal cell cancer, the investigators    used assays to measure the effect of the selected drugs on    cells. This led to the identification of a small number of    FDA-approved drugs that induced cell death in multiple kidney    cancer cell lines. The investigators then tested three of these    drugs in an animal model of renal cell cancer and demonstrated    that the antimicrobial agent pentamidine (primarily used for    the treatment of pneumonia) reduced tumor growth and enhanced    survival. Gene expression experiments using microarrays also    identified the genes in renal cell cancer that were    counteracted by pentamidine.  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>See more here:<br \/>\n<a target=\"_blank\" href=\"http:\/\/www.eurekalert.org\/pub_releases\/2014-05\/bidm-bah050514.php\/RK=0\/RS=RHXcbOvogjauATQOn6nn41zXYCg-\" title=\"Bioinformatics approach helps researchers find new uses for old drug\">Bioinformatics approach helps researchers find new uses for old drug<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> PUBLIC RELEASE DATE: 5-May-2014 Contact: Bonnie Prescott <a href=\"mailto:bprescot@bidmc.harvard.edu\">bprescot@bidmc.harvard.edu<\/a> 617-667-7306 Beth Israel Deaconess Medical Center BOSTON -- Developing and testing a new anti-cancer drug can cost billions of dollars and take many years of research. Finding an effective anti-cancer medication from the pool of drugs already approved for the treatment of other medical conditions could cut a considerable amount of time and money from the process. Now, using a novel bioinformatics approach, a team led by investigators at Beth Israel Deaconess Medical Center (BIDMC) has found that the approved antimicrobial drug pentamidine may help in the treatment of patients with advanced kidney cancer.  <a href=\"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/transhuman-news-blog\/gene-medicine\/bioinformatics-approach-helps-researchers-find-new-uses-for-old-drug\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[],"class_list":["post-32504","post","type-post","status-publish","format-standard","hentry","category-gene-medicine"],"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/posts\/32504"}],"collection":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/comments?post=32504"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/posts\/32504\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/media?parent=32504"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/categories?post=32504"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/tags?post=32504"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}