| Literature DB >> 25635206 |
Toshihide Nishimura1, Takeshi Kawamura2, Yutaka Sugihara3, Yasuhiko Bando4, Shigeru Sakamoto5, Masaharu Nomura1, Norihiko Ikeda1, Tatsuo Ohira1, Junichiro Fujimoto6, Hiromasa Tojo7, Takao Hamakubo2, Tatsuhiko Kodama2, Roland Andersson8, Thomas E Fehniger9, Harubumi Kato1, György Marko-Varga10.
Abstract
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.Entities:
Keywords: Biobanking; Cancer diseases; HUPO; MRM; Mass spectrometry; Protein quantification; Proteomics
Year: 2014 PMID: 25635206 PMCID: PMC4303744 DOI: 10.1186/s40169-014-0038-x
Source DB: PubMed Journal: Clin Transl Med ISSN: 2001-1326
Figure 1Statistical presentation of national healthcare spending/GDP in countries in-between 1995-2012.
Figure 2Deep sequencing of proteins in LCNEC patient samples in comparison to LCC and SCLC.
Figure 3Workflow with LC-MS platform integrated to search engines for the annotation of proteins.
Figure 4Exploring new governance paradigms for Biobanks.