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Cancer bioinformatics: bioinformatic methods, network biomarkers and precision medicine

The "Cancer bioinformatics" thematic series focuses on the latest developments in the emerging field of systems clinical medicine in cancer which integrates systems biology, clinical science, omics-based technology, bioinformatics and computational science to improve diagnosis, therapies and prognosis of cancer.

Xiangdong Wang

  1. Automated classification of histopathology involves identification of multiple classes, including benign, cancerous, and confounder categories. The confounder tissue classes can often mimic and share attribute...

    Authors: Scott Doyle, Michael D Feldman, Natalie Shih, John Tomaszewski and Anant Madabhushi

    Citation: BMC Bioinformatics 2012 13:282

    Content type: Research article

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  2. Thyroid nodules with indeterminate cytological features on fine needle aspiration (FNA) cytology have a 20% risk of thyroid cancer. The aim of the current study was to determine the diagnostic utility of an 8-...

    Authors: Sara Tomei, Ivo Marchetti, Katia Zavaglia, Francesca Lessi, Alessandro Apollo, Paolo Aretini, Giancarlo Di Coscio, Generoso Bevilacqua and Chiara Mazzanti

    Citation: BMC Cancer 2012 12:396

    Content type: Research article

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  3. A simple and fast computational model to describe the dynamics of tumour growth and metastasis formation is presented. The model is based on the calculation of successive generations of tumour cells and enable...

    Authors: Volker Haustein and Udo Schumacher

    Citation: Journal of Clinical Bioinformatics 2012 2:11

    Content type: Methodology

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  4. Aberrant activation of signaling pathways downstream of epidermal growth factor receptor (EGFR) has been hypothesized to be one of the mechanisms of cetuximab (a monoclonal antibody against EGFR) resistance in...

    Authors: Elana J Fertig, Qing Ren, Haixia Cheng, Hiromitsu Hatakeyama, Adam P Dicker, Ulrich Rodeck, Michael Considine, Michael F Ochs and Christine H Chung

    Citation: BMC Genomics 2012 13:160

    Content type: Research article

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  5. Stratification of patients according to their clinical prognosis is a desirable goal in cancer treatment in order to achieve a better personalized medicine. Reliable predictions on the basis of gene signatures...

    Authors: Yupeng Cun and Holger Fröhlich

    Citation: BMC Bioinformatics 2012 13:69

    Content type: Research article

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  6. The pathways downstream of the epidermal growth factor receptor (EGFR) have often been implicated to play crucial roles in the development and progression of various cancer types. Different authors have propos...

    Authors: Silvia von der Heyde and Tim Beissbarth

    Citation: BMC Medicine 2012 10:43

    Content type: Commentary

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  7. Altered networks of gene regulation underlie many complex conditions, including cancer. Inferring gene regulatory networks from high-throughput microarray expression data is a fundamental but challenging task ...

    Authors: Piyush B Madhamshettiwar, Stefan R Maetschke, Melissa J Davis, Antonio Reverter and Mark A Ragan

    Citation: Genome Medicine 2012 4:41

    Content type: Research

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  8. Despite aggressive multimodal treatments the overall survival of patients with high-risk neuroblastoma remains poor. The aim of this study was to identify novel combination chemotherapy to improve survival rat...

    Authors: Patricia S Tsang, Adam T Cheuk, Qing-Rong Chen, Young K Song, Thomas C Badgett, Jun S Wei and Javed Khan

    Citation: BMC Cancer 2012 12:101

    Content type: Research article

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