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. 2014 Nov 22;3(1):61.
doi: 10.1186/s40169-014-0038-x. eCollection 2014 Dec.

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

Toshihide Nishimura  1 , Takeshi Kawamura  2 , Yutaka Sugihara  3 , Yasuhiko Bando  4 , Shigeru Sakamoto  5 , Masaharu Nomura  1 , Norihiko Ikeda  1 , Tatsuo Ohira  1 , Junichiro Fujimoto  6 , Hiromasa Tojo  7 , Takao Hamakubo  2 , Tatsuhiko Kodama  2 , Roland Andersson  8 , Thomas E Fehniger  9 , Harubumi Kato  1 , György Marko-Varga  10
Affiliations

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

Toshihide Nishimura et al. Clin Transl Med. .

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.

Keywords: Biobanking; Cancer diseases; HUPO; MRM; Mass spectrometry; Protein quantification; Proteomics.

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Figures

Figure 1
Figure 1
Statistical presentation of national healthcare spending/GDP in countries in-between 1995-2012.
Figure 2
Figure 2
Deep sequencing of proteins in LCNEC patient samples in comparison to LCC and SCLC.
Figure 3
Figure 3
Workflow with LC-MS platform integrated to search engines for the annotation of proteins.
Figure 4
Figure 4
Exploring new governance paradigms for Biobanks.
See this image and copyright information in PMC

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