Amir Rahbar

Evolution of Clinical Proteomics and its Role in Medicine

Significant progress has been made in characterizing and sequencing genomic alterations of biospecimens from several types of cancer. Understanding the functional changes in the human proteome that arise from the genomic alterations or other factors is the next logical step in the development of high-value protein biomarkers that can be transitioned to clinical studies for biomarker qualification. Linking advances in genomic analysis to proteomic analysis will provide a pathway for qualified biomarkers which can drive the rational development of new diagnostics and therapies. The availability of these multidimensional data to the scientific community sets the stage for the development of new molecularly targeted cancer interventions.

Reconstructing the pipeline by introducing multiplexed multiple reaction monitoring mass spectrometry for cancer biomarker verification: an NCI-CPTC initiative perspective.

Proteomics holds great promise in personalized medicine for cancer in the post‐genomic era. In the past decade, clinical proteomics has significantly evolved in terms of technology development, optimization and standardization, as well as in advanced bioinformatics data integration and analysis. Great strides have been made for characterizing a large number of proteins qualitatively and quantitatively in a proteome, including the use of sample fractionation, protein microarrays and MS. It is believed that differential proteomic analysis of high‐quality clinical biospecimen (tissue and biofluids) can potentially reveal protein/peptide biomarkers responsible for cancer by means of their altered levels of expression and/or PTMs. Multiple reaction monitoring, a multiplexed platform using stable isotope dilution‐MS with sensitivity and reproducibility approaching that of traditional ELISAs commonly used in the clinical setting, has emerged as a potentially promising technique for next‐generation high‐throughput protein biomarker measurements for diagnostics and therapeutics.

Recommendations for Mass Spectrometry Data Quality Metrics for Open Access Data (Corollary to the Amsterdam Principles)

Policies supporting the rapid and open sharing of proteomic data are being implemented by the leading journals in the field. The proteomics community is taking steps to ensure that data are made publicly accessible and are of high quality, a challenging task that requires the development and deployment of methods for measuring and documenting data quality metrics. On September 18, 2010, the United States National Cancer Institute convened the “International Workshop on Proteomic Data Quality Metrics” in Sydney, Australia, to identify and address issues facing the development and use of such methods for open access proteomics data. The stakeholders at the workshop enumerated the key principles underlying a framework for data quality assessment in mass spectrometry data that will meet the needs of the research community, journals, funding agencies, and data repositories. Attendees discussed and agreed up on two primary needs for the wide use of quality metrics: 1) an evolving list of comprehensive quality metrics and 2) standards accompanied by software analytics. Attendees stressed the importance of increased education and training programs to promote reliable protocols in proteomics. This workshop report explores the historic precedents, key discussions, and necessary next steps to enhance the quality of open access data. By agreement, this article is published simultaneously in the Journal of Proteome Research, Molecular and Cellular Proteomics, Proteomics, and Proteomics Clinical Applications as a public service to the research community. The peer review process was a coordinated effort conducted by a panel of referees selected by the journals.

Realizing individualized medicine: the road to translating proteomics from the laboratory to the clinic

The sequencing of the human genome has brought great promise and potential for the future of medicine, as well as providing a strong momentum for the burgeoning field of individualized medicine. Tests based on genetic information can be used to allow physicians to target therapies for those patients most likely to benefit from specific therapies and identify potential risk before the onset of disease. While advances in genomics-based molecular diagnostics are progressing, producing some useful US FDA-approved/-cleared diagnostic tests, protein-based molecular diagnostics have not met its promised potential. This article will provide an overview of protein-based analysis technologies, identify their strengths and limitations, discuss barriers to protein-based biomarker development and identify issues which must be addressed in order to successfully transfer the field of proteomics from the laboratory to the clinic.

A synopsis of the 3rd annual Cancer Proteomics Conference

The 3rd annual ‘Cancer Proteomics Conference’, organized by Select Biosciences (Sudbury, UK), was held in Berlin, Germany, 8–9 June 2010. With the aim of strengthening the links between scientists from Europe, as well as international investigators worldwide, more than 200 delegates attended, representing various countries. The Conference covered many topics in proteomics, including the use of proteomics for cancer therapeutic development, diagnostic applications, biomarker discovery, post-translational modifications and clinical proteomics, as well as new proteomic technologies, which may facilitate future progress. One distinct feature of this meeting was that the Conference was co-located with the ‘Advances in Antibody and Peptide Therapeutics’ meeting. Delegates had access to both meetings, allowing for enhanced interaction among investigators from the closely linked fields of research.