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SciClips Launches Cancer Biomarker Database

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The success of personalized cancer therapeutics relies on the development of companion diagnostic assays that can identify the most appropriate cancer patient, tumor type and disease state. To address this need, SciClips, a Wisconsin-based open innovation platform company that enables scientists and researchers to collaborate and share research and ideas, recently launched a cancer (oncology) biomarker database.

The diagnostic and prognostic cancer biomarker database contains biomarkers for more than 100 types of cancer. For each cancer type, biomarkers are classified as diagnostic, disease predictive/risk assessment, drug efficacy/response or prognostic.

The types of cancer biomarkers in the database include protein biomarkers, miRNA biomarkers, SNP biomarkers, gene expression biomarkers, epigenetic biomarkers and metabolomic biomarkers.

The cancer (oncology) biomarker database consists of three data sources. The first two data sources are biomarker databases, which contain discovery stage, pre-clinical or clinical biomarkers that were identified or validated using patient samples. For each biomarker, the respective database includes patient/sample details, experimental results/observations, biological and molecular functional analysis, biological process analysis and protein-protein interaction networks.

  1. a blood-based cancer biomarker database, which contains peripheral blood, serum, plasma and whole blood-based cancer biomarkers extracted from patents, patent applications, research articles and scientific meeting abstracts.
  2. a tumor tissue/salivary/urinary/fecal/breath-based cancer biomarker database, which contains cancer biomarkers derived from tumor tissues, bone marrow, urine, saliva, breath, CSF and stool, extracted from patents, patent applications, research articles and scientific meeting abstracts.

The third and last data source is a database consisting of cancer drug efficacy/response/predictive biomarker protein-protein interaction networks.

  1. a database containing protein-protein interaction networks of discovery stage, pre-clinical and clinical cancer biomarkers that were identified or validated using patient samples or animal model or cell based studies. Patient/sample details, experimental results/observations, biological and molecular functional analysis, biological process analysis, protein-protein interaction networks of each biomarker are listed in this database. Biomarkers in this database are extracted from patents, research articles and meeting abstracts.

SciClips launched two other databases in 2011: a biomarker and drug discovery protocols database and a diagnostic and prognostic biomarker database.

Source: SciClips