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Systems biology, post-genomic analysis and emerging technologies

This section will consider studies on all aspects of the function of biological systems at the molecular and cellular level, in particular those addressing network modeling, quantitative analyses and the integration of different levels of information. Topics of interest include, but are not limited to, deep sequencing-based technologies, computational biology and machine learning in relation to cancer biology.

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  1. Content type: Research article

    Circulating tumor cells (CTCs) have been associated with prognosis especially in breast cancer and have been proposed as a liquid biopsy for repeated follow up examinations. Molecular characterization of CTCs ...

    Authors: Areti Strati, Athina Markou, Cleo Parisi, Eleni Politaki, Dimitris Mavroudis, Vasilis Georgoulias and Evi Lianidou

    Citation: BMC Cancer 2011 11:422

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  2. Content type: Research article

    Serum protein profiles have been investigated frequently to discover early biomarkers for breast cancer. So far, these studies used biological samples collected at or after diagnosis. This may limit these studies...

    Authors: Annemieke WJ Opstal-van Winden, Esmeralda JM Krop, Monica H Kåredal, Marie-Christine W Gast, Christian H Lindh, Marina C Jeppsson, Bo AG Jönsson, Diederick E Grobbee, Petra HM Peeters, Jos H Beijnen, Carla H van Gils and Roel CH Vermeulen

    Citation: BMC Cancer 2011 11:381

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  4. Content type: Technical advance

    Detection of mutations by DNA sequencing can be facilitated by scanning methods to identify amplicons which may have mutations. Current scanning methods used for the detection of germline sequence variants are...

    Authors: Heather L Hondow, Stephen B Fox, Gillian Mitchell, Rodney J Scott, Victoria Beshay, Stephen Q Wong and Alexander Dobrovic

    Citation: BMC Cancer 2011 11:265

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  5. Content type: Research article

    The ability of gene profiling to predict treatment response and prognosis in breast cancers has been demonstrated in many studies using DNA microarray analyses on RNA from fresh frozen tumor specimens. In cert...

    Authors: Al Muktafi Sadi, Dong-Yu Wang, Bruce J Youngson, Naomi Miller, Scott Boerner, Susan J Done and Wey L Leong

    Citation: BMC Cancer 2011 11:253

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  6. Content type: Research article

    Tissue microarray (TMA) data are commonly used to validate the prognostic accuracy of tumor markers. For example, breast cancer TMA data have led to the identification of several promising prognostic markers o...

    Authors: Angela P Presson, Nam K Yoon, Lora Bagryanova, Vei Mah, Mohammad Alavi, Erin L Maresh, Ayyappan K Rajasekaran, Lee Goodglick, David Chia and Steve Horvath

    Citation: BMC Cancer 2011 11:230

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  7. Content type: Research article

    The Mayo Lung Project (MLP), a randomized controlled clinical trial of lung cancer screening conducted between 1971 and 1986 among male smokers aged 45 or above, demonstrated an increase in lung cancer surviva...

    Authors: Lu Shi, Haijun Tian, William J McCarthy, Barbara Berman, Shinyi Wu and Rob Boer

    Citation: BMC Cancer 2011 11:92

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  9. Content type: Research article

    Epidermal growth factor receptor inhibitor therapy is now approved for treatment of metastatic colorectal carcinomas (CRC) in patients with tumors lacking KRAS mutations. Several procedures to detect KRAS mutatio...

    Authors: Magnus Sundström, Karolina Edlund, Monica Lindell, Bengt Glimelius, Helgi Birgisson, Patrick Micke and Johan Botling

    Citation: BMC Cancer 2010 10:660

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  10. Content type: Research article

    Conflicting data exist regarding the prognostic and predictive impact of survivin (BIRC5) in breast cancer. We previously reported survivin cytoplasmic-to-nuclear ratio (CNR) as an independent prognostic indic...

    Authors: Elton Rexhepaj, Karin Jirstrom, Darran P O'Connor, Sallyann L O'Brien, Goran Landberg, Michael J Duffy, Donal J Brennan and William M Gallagher

    Citation: BMC Cancer 2010 10:639

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  11. Content type: Research article

    Combining gene expression microarrays and high resolution magic angle spinning magnetic resonance spectroscopy (HR MAS MRS) of the same tissue samples enables comparison of the transcriptional and metabolic pr...

    Authors: Eldrid Borgan, Beathe Sitter, Ole Christian Lingjærde, Hilde Johnsen, Steinar Lundgren, Tone F Bathen, Therese Sørlie, Anne-Lise Børresen-Dale and Ingrid S Gribbestad

    Citation: BMC Cancer 2010 10:628

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  12. Content type: Research article

    The simplicity and potential of minimal invasive testing using serum from patients make auto-antibody based biomarkers a very promising tool for use in diagnostics of cancer and auto-immune disease. Although s...

    Authors: René Stempfer, Parvez Syed, Klemens Vierlinger, Rudolf Pichler, Eckart Meese, Petra Leidinger, Nicole Ludwig, Albert Kriegner, Christa Nöhammer and Andreas Weinhäusel

    Citation: BMC Cancer 2010 10:627

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  13. Content type: Research article

    Developing the right drugs for the right patients has become a mantra of drug development. In practice, it is very difficult to identify subsets of patients who will respond to a drug under evaluation. Most of...

    Authors: Erich P Huang, Jane Fridlyand, Nicholas Lewin-Koh, Peng Yue, Xiaoyan Shi, David Dornan and Bart Burington

    Citation: BMC Cancer 2010 10:586

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  14. Content type: Research article

    Most patients with ovarian cancer are diagnosed with advanced stage disease (i.e., stage III-IV), which is associated with a poor prognosis. Differentially expressed genes (DEGs) in stage III serous ovarian carci...

    Authors: Yun-Sook Kim, Jin Hwan Do, Sumi Bae, Dong-Han Bae and Woong Shick Ahn

    Citation: BMC Cancer 2010 10:576

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  15. Content type: Software

    Genome wide gene expression data is a rich source for the identification of gene signatures suitable for clinical purposes and a number of statistical algorithms have been described for both identification and...

    Authors: Martin Lauss, Attila Frigyesi, Tobias Ryden and Mattias Höglund

    Citation: BMC Cancer 2010 10:532

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BMC Cancer

ISSN: 1471-2407

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