Diagnostic, Prognostic and Predictive Cancer Biomarkers
A special issue of BioTech (ISSN 2673-6284).
Deadline for manuscript submissions: closed (30 June 2016) | Viewed by 216
Special Issue Information
Dear Colleagues,
Microarray approaches opened the way for high-throughput analyses of gene expression, copy number variations, and DNA polymorphisms that were expected to have an impact in the characterization of human cancer. These studies improved our understanding of cancer molecular pathogenesis and potentially useful applications were developed. More recently, Next Generation Sequencing approaches have further widened the potential of high throughput methods by allowing the nucleotide sequencing of large panels of genes or even entire genomes. Cancer genomics is in the position of translating the large amount of knowledge acquired in the past ten years into clinically useful applications, through the development of innovative and highly informative approaches that may improve the management of cancer patients.
This Special Issue invites contributions on the use of high-throughput approaches aimed at the identification of cancer biomarkers. Original manuscripts or reviews on genomics, transcriptomics, and proteomics studies are welcomed. Topics may range from molecular tumorigenesis to diagnosis, prognostic stratification, patients’ follow-up, treatment indicators, and prediction of therapy response. New high-throughput approaches or devices and methods for data analysis are also welcomed subjects. We wish to provide a wide presentation of available or potentially innovative approaches and the achieved results that originate from high-throughput approaches.
Dr. Massimo Negrini
Guest Editor
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Keywords
- cancer research
- viral oncogenesis
- biomarkers
- diagnosis
- prognosis
- screening
- gene expression profiling
- proteomic microarray
- copy number variations
- next generation sequencing
- single-nucleotide polymorphisms
- data analysis
- network analysis
- high-throughput approaches
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