The University of California, Santa Cruz, Genome Browser Database (GBD) provides integrated sequence and annotation data for a large collection of vertebrate and model organism genomes. Seventeen new assemblies have been added to the database in the past year, for a total coverage of 19 vertebrate and 21 invertebrate species as of September 2007. For each assembly, the GBD contains a collection of annotation data aligned to the genomic sequence. Highlights of this year's additions include a 28-species human-based vertebrate conservation annotation, an enhanced UCSC Genes set, and more human variation, MGC, and ENCODE data. The database is optimized for fast interactive performance with a set of web-based tools that may be used to view, manipulate, filter and download the annotation data. New toolset features include the Genome Graphs tool for displaying genome-wide data sets, session saving and sharing, better custom track management, expanded Genome Browser configuration options and a Genome Browser wiki site. The downloadable GBD data, the companion Genome Browser toolset and links to documentation and related information can be found at: http://genome.ucsc.edu/.

Purpose Understanding the etiology of cancer-related fatigue (CRF) is critical to identify targets to develop therapies to reduce CRF burden. The goal of this systematic review was to expand on the initial work by the National Cancer Institute CRF Working Group to understand the state of the science of the biology of CRF. Specifically, to evaluate studies that examined the relationships between biomarkers and CRF, and to develop an etiologic model of CRF to guide researchers on pathways to explore or therapeutic targets to investigate. Methods This review was completed by the Multinational Association of Supportive Care in Cancer Fatigue Study Group – Biomarker Working Group. The initial search used three terms (biomarkers, fatigue, cancer), which yielded 11,129 articles. After removing duplicates, 7,175 articles remained. Titles were assessed for the keywords, “cancer” and “fatigue” resulting in 3,811 articles. Articles published before 2010 and those with samples <50 were excluded, leaving 75 articles for full-text review. Of the 75 articles, 25 were further excluded for not investigating the associations of biomarkers and CRF. Results Of the 47 articles reviewed, 25 were cross-sectional and 22 were longitudinal studies. Less than half (44%) were published recently (2010-2013). Almost half (46%) enrolled breast cancer participants. A majority of studies assessed fatigue using self-report questionnaires, and only two studies used clinical parameters to measure fatigue. Conclusions The findings from this review suggest that CRF is linked to immune/inflammatory, metabolic, neuroendocrine, and genetic biomarkers. We also identified gaps in knowledge and made recommendations for future research.