Human cancer databases (Review)

Pavlopoulou,Athanasia; Spandidos,Demetrios  A.; Michalopoulos,Ioannis

doi:10.3892/or.2014.3579

Human cancer databases (Review)

Authors:
- Athanasia Pavlopoulou
- Demetrios A. Spandidos
- Ioannis Michalopoulos
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Affiliations: Center of Systems Biology, Biomedical Research Foundation, Academy of Athens, Athens 11527, Greece, Laboratory of Clinical Virology, Medical School, University of Crete, Heraklion 71003, Crete, Greece
Published online on: October 31, 2014 https://doi.org/10.3892/or.2014.3579
Pages: 3-18
Copyright: © Pavlopoulou et al. This is an open access article distributed under the terms of Creative Commons Attribution License [CC BY_NC 3.0].

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Abstract

Cancer is one of the four major non‑communicable diseases (NCD), responsible for ~14.6% of all human deaths. Currently, there are >100 different known types of cancer and >500 genes involved in cancer. Ongoing research efforts have been focused on cancer etiology and therapy. As a result, there is an exponential growth of cancer‑associated data from diverse resources, such as scientific publications, genome‑wide association studies, gene expression experiments, gene‑gene or protein‑protein interaction data, enzymatic assays, epigenomics, immunomics and cytogenetics, stored in relevant repositories. These data are complex and heterogeneous, ranging from unprocessed, unstructured data in the form of raw sequences and polymorphisms to well‑annotated, structured data. Consequently, the storage, mining, retrieval and analysis of these data in an efficient and meaningful manner pose a major challenge to biomedical investigators. In the current review, we present the central, publicly accessible databases that contain data pertinent to cancer, the resources available for delivering and analyzing information from these databases, as well as databases dedicated to specific types of cancer. Examples for this wealth of cancer‑related information and bioinformatic tools have also been provided.

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