Clinical initiatives linking Japanese and Swedish healthcare resources on cancer studies utilizing Biobank Repositories

The Tokyo Medical University Hospital in Japan and the Lund University hospital in Sweden have recently initiated a research program with the objective to impact on patient treatment by clinical disease stage characterization (phenotyping), utilizing proteomics sequencing platforms. By sharing clinical experiences, patient treatment principles, and biobank strategies, our respective clinical teams in Japan and Sweden will aid in the development of predictive and drug related protein biomarkers.Data from joint lung cancer studies are presented where protein expression from Neuro- Endocrine lung cancer (LCNEC) phenotype patients can be separated from Small cell- (SCLC) and Large Cell lung cancer (LCC) patients by deep sequencing and spectral counting analysis. LCNEC, a subtype of large cell carcinoma (LCC), is characterized by neuroendocrine differentiation that small cell lung carcinoma (SCLC) shares. Pre-therapeutic histological distinction between LCNEC and SCLC has so far been problematic, leading to adverse clinical outcome. An establishment of protein targets characteristic of LCNEC is quite helpful for decision of optimal therapeutic strategy by diagnosing individual patients. Proteoform annotation and clinical biobanking is part of the HUPO initiative (http://www.hupo.org) within chromosome 10 and chromosome 19 consortia.

[1]  Fumio Nomura,et al.  Developments for a growing Japanese patient population: facilitating new technologies for future health care. , 2011, Journal of proteomics.

[2]  Peeter Ross,et al.  Direct demonstration of tissue uptake of an inhaled drug: proof-of-principle study using matrix-assisted laser desorption ionization mass spectrometry imaging. , 2011, Analytical chemistry.

[3]  G. Marko‐Varga,et al.  The role of quantitative mass spectrometry in the discovery of pancreatic cancer biomarkers for translational science , 2014, Journal of Translational Medicine.

[4]  G. Marko‐Varga,et al.  Pathological airway remodelling in inflammation , 2010, The clinical respiratory journal.

[5]  H. Olsson,et al.  Feasibility study on measuring selected proteins in malignant melanoma tissue by SRM quantification. , 2014, Journal of proteome research.

[6]  G. Omenn,et al.  A first step toward completion of a genome-wide characterization of the human proteome. , 2013, Journal of proteome research.

[7]  Cathy H. Wu,et al.  The Human Proteome Project: Current State and Future Direction , 2011, Molecular & Cellular Proteomics.

[8]  C. Ingvar,et al.  Establishing a Southern Swedish Malignant Melanoma OMICS and biobank clinical capability , 2013, Clinical and Translational Medicine.

[9]  György Marko-Varga,et al.  Preferential expression of potential markers for cancer stem cells in large cell neuroendocrine carcinoma of the lung. An FFPE proteomic study , 2011, Journal of Clinical Bioinformatics.

[10]  S. Hanash,et al.  Standard guidelines for the chromosome-centric human proteome project. , 2012, Journal of proteome research.

[11]  Rebecca Kirk Genetics: Personalized medicine and tumour heterogeneity , 2012, Nature Reviews Clinical Oncology.

[12]  György Marko-Varga,et al.  BioBanking as the central tool for translational medicine CTM issue 2013 , 2013, Clinical and Translational Medicine.

[13]  György Marko-Varga,et al.  Personalized medicine and proteomics: lessons from non-small cell lung cancer. , 2007, Journal of proteome research.

[14]  B. Döme,et al.  Drug localization in different lung cancer phenotypes by MALDI mass spectrometry imaging. , 2011, Journal of proteomics.

[15]  Marie C. South,et al.  Proteomic Biomarkers for Acute Interstitial Lung Disease in Gefitinib-Treated Japanese Lung Cancer Patients , 2011, PloS one.

[16]  William S Hancock,et al.  Uniting ENCODE with genome-wide proteomics , 2012, Nature Biotechnology.

[17]  J. Malm,et al.  Large scale biobanking of blood - the importance of high density sample processing procedures. , 2012, Journal of proteomics.

[18]  H. Kato,et al.  Cancer Phenotype Diagnosis and Drug Efficacy within Japanese Health Care , 2012, International journal of proteomics.

[19]  William S Hancock,et al.  Genome-wide proteomics, Chromosome-Centric Human Proteome Project (C-HPP), part II. , 2014, Journal of Proteome Research.

[20]  Thomas Laurell,et al.  Standardization and utilization of biobank resources in clinical protein science with examples of emerging applications. , 2012, Journal of proteome research.

[21]  Thomas Laurell,et al.  Implementation of a protein profiling platform developed as an academic‐pharmaceutical industry collaborative effort , 2008, Electrophoresis.

[22]  R. Bischoff,et al.  Analysis of regulatory phosphorylation sites in ZAP-70 by capillary high-performance liquid chromatography coupled to electrospray ionization or matrix-assisted laser desorption ionization time-of-flight mass spectrometry. , 2001, Journal of chromatography. B, Biomedical sciences and applications.

[23]  T. Mok,et al.  Personalized medicine in lung cancer: what we need to know , 2011, Nature Reviews Clinical Oncology.

[24]  Henrik Lindberg,et al.  Transforming Growth Factor-β1 Specifically Induce Proteins Involved in the Myofibroblast Contractile Apparatus* , 2004, Molecular & Cellular Proteomics.

[25]  G. Marko‐Varga,et al.  Ready-made matrix-assisted laser desorption/ionization target plates coated with thin matrix layer for automated sample deposition in high-density array format. , 2002, Rapid communications in mass spectrometry : RCM.

[26]  S. Hanash,et al.  The Chromosome-Centric Human Proteome Project for cataloging proteins encoded in the genome , 2012, Nature Biotechnology.

[27]  Amos Bairoch,et al.  Metrics for the Human Proteome Project 2013-2014 and strategies for finding missing proteins. , 2014, Journal of proteome research.