Clinical initiatives linking Japanese and Swedish healthcare resources on cancer studies utilizing Biobank Repositories
- 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 and
- György Marko-Varga1, 3, 9Email author
© Nishimura et al.; licensee Springer. 2014
Received: 11 September 2014
Accepted: 28 October 2014
Published: 22 November 2014
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.
KeywordsCancer diseases Protein quantification Proteomics Mass spectrometry MRM Biobanking HUPO
TMU/LUH - A Joint clinical center effort
The Tokyo Medical University Hospital, a pioneer in lung cancer treatment and surgery forms a center effort jointly with Lund University Hospital to build an expert capability resource. This joint establishment will intensify the utility of cancer expertise and experiences in both Japan and Sweden to benefit cancer patients. Clinical samples will be sampled from the hospitals with dedicated quality protocols and standard operating procedures (SOPs) by automated processing. These samples will be archived in Biobank storages, and will be built as a resource for R&D studies .
Today we have a lack of protein biomarker-, and imaging diagnostics within most cancer disorders. New clinical tools are expected to be used as early indicators of disease, or, as personalized indicator assays for targeted and stratified disease phenotype drug treatments in the near future. There is also a poor understanding of the mode of drug action mechanisms, by commonly used therapies, which is also true for new drugs introduced to the market. The actual targeted cells-, and proteins within disease, and the actual drug interactions are by no means understood for most medicines used in today’s therapies. These drug characteristics are needed for both efficacy-, and safety improvements, and also requested by regulatory authorities like; FDA/EMA/MHLW.
New technology developments that can be used to target the specificity and efficacy of new drug treatments within the health care system is progressing with increasing successes, in both Japan, North America and Europe. The new generation of drugs with mono-specific affinity will require more in depth knowledge in order to provide a tailor made cure to all patients taking the drug.
The aim and purpose of the Swedish-Japanese research program is to develop new insights into disease presentation and the disease progression. These objectives are intimately linked to the classification of patients that presents similar pathologies in disease. The stratification of these patients is an added value to both the healthcare sector as well as the drug industry, as it will point to the ability to optimize the treatment of cancer patients. A cornerstone of the Japanese-Swedish hospital initiatives will be to develop new Multiple Reaction Monitoring (MRM) Multiplex analysis methods for cancer, that can be used in combination with CT-imaging and pathophysiology diagnosis. At present, there is a lack of disease specific radiographic markers or protein/peptide biomarkers. These new biomarkers should be introduced into routine clinical practice to support clinical decision making for the management of common diseases that are consequent to life styles, but also to genetic heritage. The developed methods and technologies outlined here will bring new opportunities for describing the indices of pathogenesis that are associated with the processes of early disease development. Our research teams have previously been successful in presenting lung cancer biomarker candidates –. We propose to continue developing new Protein Biomarker Diagnosis Panels that can measure novel patterns of structural and functional marker expression that precede and predict certain disease development. The biology change within disease will be followed by alterations due to drug intervention. Drug compound localization in pulmonary tissue will be characterized in lung cancer and COPD tissue by imaging mass spectrometry. The aim is to further probe the drug and metabolite(s) content and distribution in tissues. Following administration and drug exposure, drug parent ion (m/z) and fragmented daughter ions will be analyzed by spatially localization, after scanning the histology section in the MALDI instrument at single cell level ,. The joint teams will also focus on excellence in biological and medical mass spectrometry, that provides health care institutions with expertise in clinical proteomics, drug imaging and mass spectrometry aiming at developing new diagnostic tools that can be integrated in routine clinical medicine. We have a major challenge in modern healthcare in both Japan and Sweden, to provide the right medicine to the right patient at the right time. Targeted treatment defined as “Personalized medicine” is becoming the next generation of drugs where drug efficacy and patient safety, is expected to predict the stratified treatment. In these developments, it is expected that patients will benefit by effective curing, and society will benefit by financial resources with increased efficiencies at a lower cost.
Global healthcare and drug developments
There is a highly unmet need within the healthcare sector that calls for an increasing world-wide demand for new medicines and curative therapies to aid in the treatment of cancer patients.
We need to utilize and apply cutting edge research with state-of-art facilities more efficiently and drive opportunities that can be used in order to impact on providing quality care that extend prognosis.
In this respect, the pharmaceutical industry and its drug product provider responsibility is under major restructuring. The main objective for pharmaceutical industry is to provide more specific and more efficacious drugs by targeted treatment, i.e. by Personalized Medicine (PM), and to provide the diagnostic test that will direct the right patient group to the right drug. We outlined the directives of these principles recently in a white paper , predicting a future link in-between PM and diagnostic guidance. Today, this is an accepted concept and is being applied in Japan as the first country; The Clinical Practice Guideline, (from The Japan Lung Cancer Society (https://www.haigan.gr.jp/modules/guideline/index.php?content_id=3)).
In practice this means and results in that the Biomarker diagnostic research is increasing. Companion diagnostics is an area of impressive growth, where the pharmaceutical industry, the biotech sector, and academia are investing considerable resources.
The expenses that each country needs to provide for their respective healthcare is tightly associated with the development of new medicines.
Currently, the global pharmaceutical industry is worth $300 Bill, and is expected to be rising to $400 Bill by 2015. In addition, the market size for pharmaceuticals now exceeds $1 trillion and is continuously growing. This industry is very profitable, and currently employing about 1.5 million people within the US and EU-countries.
In this regards, the R&D investments in within this industry have consistently managed to grow with investments made within the biomedical sciences, having a total spend on R&D with more than $100 Bill, per annum.
As the Research and Development phases of drug development is a long-term investment for the pharma industry, taking into account that most drugs fail long before getting to market, there is an incentive strive to find new strategies and operating principles.
Cancer diseases are some of the most costly for our societies. Processes essential to growth and replication of tumor cells and the maintenance of their supportive microenvironment such as the angiogenesis are today target strategies for cancer therapy.
Established chemotherapeutic agents and many novel agents in developments are directed towards various aspects of these essential cellular processes.
Growth factor signaling such as EGFR
VEGFR1, VEGFR2 and VEGFR3
As these growth factors stimulate cell growth by interacting with internal domains of the trans-membrane receptors, we will sequence the variety of targeted proteins in order to get a better understanding of the underlying tumor mechanisms. Previous data has been guiding in this respect ,.
angiogenesis that includes VEGF
DNA replication, including transcription and repair
histone acetylation and de-acetylation that can be mapped by mass spectrometry
Upon growth factor receptor binding to targets such as EGF, FGF, and TGFB, the activation of tumor biology is initiated ,,,,. This ligand-receptor complex formation also imposes conformational changes of the receptor which will result in an activation of the transfer of phosphate groups. The autophosphorylation loop of the kinase is the target area of mass spectrometry deep-mining of these regions within the protein sequence –.
Establishing the identity of the amino acids that are phosphorylated is of high interest.
By dedicated clinical study materials from various patient groupings our objective is to map the receptor-ligand interactions. The glycolytic post-translational-modifications (PTM) of any given ligand activator will be directly linked to the binding affinity. The PTM status of the receptor itself has also proven to be of major importance to the signaling mechanisms . We recently outlined a strategic overview of key protein targets, playing a key role in pancreatic cancer . The TGF-β receptor and TGF- β ligand has a direct role in the development of lung cancer as well as other cancer forms .
On a molecular level, the intracellular targets, with specific assigned function in cancer are enzymes which activities catalysis the signaling cascade through the cellular regions reaching the nucleus. We have previously been working with ERK and MAPKAP signaling, as well as ZAP70. ZAP70 is a key target in a number of cancer types and is responsible for the autophosphorylation, of specific threonine positions within the protein that can be determined ,. The stoichiometric distribution of phosphor-groups being post-translationally modified has been pioneered by our research team. Sequencing of the target peptide of this tyrosine kinase can be accomplished by both ESI- as well as MALDI- mass spectrometry.
We recently reported on the development of biomarkers on the newly identified neuroendocrine phenotype within lung cancer , also denamed “The diffuse neuroendocrine system”.
Interestingly, these LCNEC Carcinoid tumors originate from cells that belong to the diffuse neuroendocrine system. These cells resembles nerve cells in certain ways, but they are also alike hormone-making endocrine cells in other ways. This phenotype of tumor cells are localized throughout the body, found in organs like the lungs, intestines, as well as the stomach .
Protein deep sequencing platform and biobanking
Mining the data output from protein deep sequencing studies is an intense research activity where the chromosome initiative has presented impressive novel annotation deliveries –. The HUPO database; NextProt provides evidence detail on status output of chromosome 10 and 19 (http://www.nextprot.org).
Currently the remaining unknown proteins, coded by the human genome are 27% .
These are recent data generated from the Proteome Exchange database and include post-translational modifications as well as splice variants and protein isomers . Details of the experimental outputs were published in a special issue in 2014, presenting the major developments from the C-HPP chromosome teams ,,,. 22 global chromosome team published papers on the novel annotations, including database reports with neXtProt, PeptideAtlas, and CAPER.
All authors equally assisted in drafting the manuscript. All authors read and approved the final version.
Professor Toshihide Nishimura and Professor György Marko-Varga are principal investigator for the Sweden-Japan research project. Assoc. Professor Takeshi Kawamura, Dr. Yutaka Sugihara, Dr. Yasuhiko Bando, and Dr. Shigeru Sakamoto are experts of mass spectrometry. Dr. Masaharu Nomura, Professor Norihiko Ikeda, Professor Tatsuo Ohira, Professor Junichiro Fujimoto, Professor Hiromasa Tojo, Professor Takao Hamakubo, Professor Tatsuhiko Kodama, Professor Junichiro Fujimoto, Professor Hiromasa Tojo are clinical scientist, Professor Roland Andersson is the vice dean and head of surgery, Professor Thomas E. Fehniger is a pathologist and director of CEBMMS. Harubumi Kato is a head clinician in Japan.
We would like to acknowledge The Kamprad Foundation, Thermo, the Swedish Foundation for Strategic Research, “TOTAL-AMI”, the Swedish Research Council, Vinnova, Knut and Alice Wallenberg Foundation, Crafoord Foundation.
- Marko-Varga G, Vegvari A, Welinder C, Lindberg H, Rezeli M, Edula G, Svensson KJ, Belting M, Laurell T, Fehniger TE: Standardization and utilization of biobank resources in clinical protein science with examples of emerging applications. J Proteome Res 2012, 11: 5124–5134. 10.1021/pr300185kView ArticlePubMedGoogle Scholar
- Nishimura T, Kato H, Ikeda N, Kihara M, Nomura M, Kato Y, Marko-Varga G: Cancer Phenotype Diagnosis and Drug Efficacy within Japanese Health Care. Int J Proteomics 2012, 2012: 921901. 10.1155/2012/921901PubMed CentralView ArticlePubMedGoogle Scholar
- Nyberg F, Ogiwara A, Harbron CG, Kawakami T, Nagasaka K, Takami S, Wada K, Tu HK, Otsuji M, Kyono Y, Dobashi T, Komatsu Y, Kihara M, Akimoto S, Peers IS, South MC, Higenbottam T, Fukuoka M, Nakata K, Ohe Y, Kudoh S, Clausen IG, Nishimura T, Marko-Varga G, Kato H: Proteomic biomarkers for acute interstitial lung disease in gefitinib-treated Japanese lung cancer patients. PLoS ONE 2011, 6: e22062. 10.1371/journal.pone.0022062PubMed CentralView ArticlePubMedGoogle Scholar
- Nomura M, Fukuda T, Fujii K, Kawamura T, Tojo H, Kihara M, Bando Y, Gazdar AF, Tsuboi M, Oshiro H, Nagao T, Ohira T, Ikeda N, Gotoh N, Kato H, Marko-Varga G, Nishimura T: Preferential expression of potential markers for cancer stem cells in large cell neuroendocrine carcinoma of the lung. An FFPE proteomic study. J Clin Bioinformatics 2011, 1: 23. 10.1186/2043-9113-1-23View ArticleGoogle Scholar
- Fehniger TE, Vegvari A, Rezeli M, Prikk K, Ross P, Dahlback M, Edula G, Sepper R, Marko-Varga G: Direct demonstration of tissue uptake of an inhaled drug: proof-of-principle study using matrix-assisted laser desorption ionization mass spectrometry imaging. Anal Chem 2011, 83: 8329–8336. 10.1021/ac2014349View ArticlePubMedGoogle Scholar
- Marko-Varga G, Fehniger TE, Rezeli M, Dome B, Laurell T, Vegvari A: Drug localization in different lung cancer phenotypes by MALDI mass spectrometry imaging. J Proteome 2011, 74: 982–992. 10.1016/j.jprot.2011.03.019View ArticleGoogle Scholar
- Kato H, Nishimura T, Ikeda N, Yamada T, Kondo T, Saijo N, Nishio K, Fujimoto J, Nomura M, Oda Y, Lindmark B, Maniwa J, Hibino H, Unno M, Ito T, Sawa Y, Tojo H, Egawa S, Edula G, Lopez M, Wigmore M, Inase N, Yoshizawa Y, Nomura F, Marko-Varga G: Developments for a growing Japanese patient population: facilitating new technologies for future health care. J Proteome 2011, 74: 759–764. 10.1016/j.jprot.2010.12.006View ArticleGoogle Scholar
- Marko-Varga G, Ogiwara A, Nishimura T, Kawamura T, Fujii K, Kawakami T, Kyono Y, Tu HK, Anyoji H, Kanazawa M, Akimoto S, Hirano T, Tsuboi M, Nishio K, Hada S, Jiang H, Fukuoka M, Nakata K, Nishiwaki Y, Kunito H, Peers IS, Harbron CG, South MC, Higenbottam T, Nyberg F, Kudoh S, Kato H: Personalized medicine and proteomics: lessons from non-small cell lung cancer. J Proteome Res 2007, 6: 2925–2935. 10.1021/pr070046sView ArticlePubMedGoogle Scholar
- Westergren-Thorsson G, Larsen K, Nihlberg K, Andersson-Sjoland A, Hallgren O, Marko-Varga G, Bjermer L: Pathological airway remodelling in inflammation. Clin Respir J 2010, 4(Suppl 1):1–8. 10.1111/j.1752-699X.2010.00190.xView ArticlePubMedGoogle Scholar
- Mok TS: Personalized medicine in lung cancer: what we need to know. Nat Rev Clin Oncol 2011, 8: 661–668. 10.1038/nrclinonc.2011.126View ArticlePubMedGoogle Scholar
- Kirk R: Genetics: Personalized medicine and tumour heterogeneity. Nat Rev Clin Oncol 2012, 9: 250. 10.1038/nrclinonc.2012.46View ArticlePubMedGoogle Scholar
- Malmstrom J, Lindberg H, Lindberg C, Bratt C, Wieslander E, Delander EL, Sarnstrand B, Burns JS, Mose-Larsen P, Fey S, Marko-Varga G: Transforming growth factor-beta 1 specifically induce proteins involved in the myofibroblast contractile apparatus. MCP 2004, 3: 466–477.PubMedGoogle Scholar
- Miliotis T, Ericsson PO, Marko-Varga G, Svensson R, Nilsson J, Laurell T, Bischoff R: 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. J Chromatogr B Biomed Sci Appl 2001, 752: 323–334. 10.1016/S0378-4347(00)00458-8View ArticlePubMedGoogle Scholar
- Miliotis T, Kjellstrom S, Nilsson J, Laurell T, Edholm LE, Marko-Varga G: Ready-made matrix-assisted laser desorption/ionization target plates coated with thin matrix layer for automated sample deposition in high-density array format. RCM 2002, 16: 117–126.PubMedGoogle Scholar
- Vegvari A, Magnusson M, Wallman L, Ekstrom S, Bolmsjo G, Nilsson J, Miliotis T, Ostling J, Kjellstrom S, Ottervald J, Franzen B, Hultberg H, Marko-Varga G, Laurell T: Implementation of a protein profiling platform developed as an academic-pharmaceutical industry collaborative effort. Electrophoresis 2008, 29: 2696–2705. 10.1002/elps.200700816View ArticlePubMedGoogle Scholar
- Ansari D, Aronsson L, Sasor A, Welinder C, Rezeli M, Marko-Varga G, Andersson R: The role of quantitative mass spectrometry in the discovery of pancreatic cancer biomarkers for translational science. J Transl Med 2014, 12: 87. 10.1186/1479-5876-12-87PubMed CentralView ArticlePubMedGoogle Scholar
- Paik YK, Omenn GS, Thongboonkerd V, Marko-Varga G, Hancock WS: Genome-wide proteomics, Chromosome-Centric Human Proteome Project (C-HPP), part II. J Proteome Res 2014, 13: 1–4. 10.1021/pr4011958View ArticlePubMedGoogle Scholar
- Marko-Varga G, Omenn GS, Paik YK, Hancock WS: A first step toward completion of a genome-wide characterization of the human proteome. J Proteome Res 2013, 12: 1–5. 10.1021/pr301183aView ArticlePubMedGoogle Scholar
- Paik YK, Jeong SK, Omenn GS, Uhlen M, Hanash S, Cho SY, Lee HJ, Na K, Choi EY, Yan F, Zhang F, Zhang Y, Snyder M, Cheng Y, Chen R, Marko-Varga G, Deutsch EW, Kim H, Kwon JY, Aebersold R, Bairoch A, Taylor AD, Kim KY, Lee EY, Hochstrasser D, Legrain P, Hancock WS: The Chromosome-Centric Human Proteome Project for cataloging proteins encoded in the genome. Nat Biotechnol 2012, 30: 221–223. 10.1038/nbt.2152View ArticlePubMedGoogle Scholar
- Legrain P, Aebersold R, Archakov A, Bairoch A, Bala K, Beretta L, Bergeron J, Borchers CH, Corthals GL, Costello CE, Deutsch EW, Domon B, Hancock W, He F, Hochstrasser D, Marko-Varga G, Salekdeh GH, Sechi S, Snyder M, Srivastava S, Uhlen M, Wu CH, Yamamoto T, Paik YK, Omenn GS: The human proteome project: current state and future direction. MCP 2011, 10: M111.009993.PubMed CentralPubMedGoogle Scholar
- Paik YK, Omenn GS, Uhlen M, Hanash S, Marko-Varga G, Aebersold R, Bairoch A, Yamamoto T, Legrain P, Lee HJ, Na K, Jeong SK, He F, Binz PA, Nishimura T, Keown P, Baker MS, Yoo JS, Garin J, Archakov A, Bergeron J, Salekdeh GH, Hancock WS: Standard guidelines for the chromosome-centric human proteome project. J Proteome Res 2012, 11: 2005–2013. 10.1021/pr200824aView ArticlePubMedGoogle Scholar
- Lane L, Bairoch A, Beavis RC, Deutsch EW, Gaudet P, Lundberg E, Omenn GS: Metrics for the Human Proteome Project 2013–2014 and strategies for finding missing proteins. J Proteome Res 2014, 13: 15–20. 10.1021/pr401144xPubMed CentralView ArticlePubMedGoogle Scholar
- Paik YK, Hancock WS: Uniting ENCODE with genome-wide proteomics. Nat Biotechnol 2012, 30: 1065–1067. 10.1038/nbt.2416View ArticlePubMedGoogle Scholar
- Welinder C, Jonsson G, Ingvar C, Lundgren L, Baldetorp B, Olsson H, Breslin T, Rezeli M, Jansson B, Laurell T, Fehniger TE, Wieslander E, Pawlowski K, Marko-Varga G: Feasibility study on measuring selected proteins in malignant melanoma tissue by SRM quantification. J Proteome Res 2014, 13: 1315–1326. 10.1021/pr400876pView ArticlePubMedGoogle Scholar
- Welinder C, Jonsson G, Ingvar C, Lundgren L, Olsson H, Breslin T, Vegvari A, Laurell T, Rezeli M, Jansson B, Baldetorp B, Marko-Varga G: Establishing a Southern Swedish Malignant Melanoma OMICS and biobank clinical capability. Clinical and translational medicine 2013, 2: 7. 10.1186/2001-1326-2-7PubMed CentralView ArticlePubMedGoogle Scholar
- Malm J, Vegvari A, Rezeli M, Upton P, Danmyr P, Nilsson R, Steinfelder E, Marko-Varga G: Large scale biobanking of blood - the importance of high density sample processing procedures. J Proteome 2012, 76 Spec No: 116–124. 10.1016/j.jprot.2012.05.003View ArticleGoogle Scholar
- Marko-Varga G: BioBanking as the central tool for translational medicine CTM issue 2013. Clin Trans Med 2013, 2: 4. 10.1186/2001-1326-2-4View ArticleGoogle Scholar
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