Abstract
Molecular therapies targeting lung cancers with mutated epidermal growth factor receptor (EGFR) by EGFR-tyrosin kinase inhibitors (EGFR-TKIs), gefitinib and erlotinib, changed the treatment system of lung cancer. It was revealed that drug efficacy differs by race (e.g., Caucasians vs. Asians) due to oncogenic driver mutations specific to each race, exemplified by gefitinib / erlotinib. The molecular target drugs for lung cancer with anaplastic lymphoma kinase (ALK) gene translocation (the fusion gene, EML4-ALK) was approved, and those targeting lung cancers addicted ROS1, RET, and HER2 have been under development. Both identification and quantification of gatekeeper mutations need to be performed using lung cancer tissue specimens obtained from patients to improve the treatment for lung cancer patients: (1) identification and quantitation data of targeted mutated proteins, including investigation of mutation heterogeneity within a tissue; (2) exploratory mass spectrometry (MS)-based clinical proteogenomic analysis of mutated proteins; and also importantly (3) analysis of dynamic protein–protein interaction (PPI) networks of proteins significantly related to a subgroup of patients with lung cancer not only with good efficacy but also with acquired resistance. MS-based proteogenomics is a promising approach to directly capture mutated and fusion proteins expressed in a clinical sample. Technological developments are further expected, which will provide a powerful solution for the stratification of patients and drug discovery (Precision Medicine).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
AURA. (2015). National Institutes of Health. AZD9291 First time in patients ascending dose study (AURA). 2015: Available from https://clinicaltrials.gov/ct2/show/NCT01802632. 16 Jan 2016.
Battafarano, R. J., Fernandez, F. G., Ritter, J., Meyers, B. F., Guthrie, T. J., Cooper, J. D., & Patterson, G. A. (2005). Large cell neuroendocrine carcinoma: an aggressive form of non-small cell lung cancer. Journal of Thoracic and Cardiovascular Surgery, 130, 166–172.
Bennouna, J., Moreno Vera, S. R. (2015). Afatinib-based combination regimens for the treatment of solid tumors: rationale, emerging strategies and recent progress. Future Oncology, 2015 Nov 25. doi:10.2217/fon.15.310. Available from http://www.futuremedicine.com/doi/abs/10.2217/fon.15.310. 16 Jan 2016.
Bern, M., Finney, G., Hoopmann, M. R., Merrihew, G., Toth, M. J., & MacCoss, M. J. (2010). Deconvolution of mixture spectra from ion-trap data-independent-acquisition tandem mass spectrometry. Analytical Chemistry, 82, 833–841.
BioGRID-The Biological General Repository for Interaction Datasets. Available from http://thebiogrid.org/. 15 Jan 2016.
Camidge, D. R., & Doebele, R. C. (2012). Treating ALK-positive lung cancer-early successes and future challenges. Nature Reviews Clinical Oncology, 9(5), 268–277.
ChiTaRS (the database of chimeric transcripts and RNA-Sequencing data database). (2013). Available from http://chitars.bioinfo.cnio.es/. 16 Jan 2016.
Cytoscape – An open source software platform for visualizing complex networks and integrating these with any type of attribute data. Available from http://www.cytoscape.org/. 15 Jan 2016.
Dresler, C. M., Ritter, J. H., Patterson, G. A., Ross, E., Bailey, M. S., & Wick, M. R. (1997). Clinical pathologic analysis of 40 patients with large cell neuroendocrine carcinoma of the lung. The Annals of Thoracic Surgery, 63, 180–185.
Eng, J. K., Hoopmann, M. R., Jahan, T. A., Egertson, J. D., Noble, W. S., & MacCoss, M. J. (2015). A deeper look into comet—Implementation and features. Journal of the American Society for Mass Spectrometry, 26, 1865–1874.
Ercan, D., Choi, H. G., Yun, C. H., Capelletti, M., Xie, T., Eck, M. J., Gray, N. S., & Jänne, P. A. (2015). EGFR mutations and resistance to irreversible pyrimidine-Based EGFR Inhibitors. Clinical Cancer Research, 21(17), 3913–3923.
Ferlay, J., Shin, H. R., Bray, F., Forman, D., Mathers, C., & Parkin, D. M. (2010). Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. International Journal of Cancer, 127, 2893–2917.
Geiger, T., Cox, J., & Mann, M. (2010). Proteomics on an Orbitrap benchtop mass spectrometer using all-ion fragmentation. Molecular & Cellular Proteomics, 9, 2252–2261.
Gillet, L. C., Navarro, P., Tate, S., Röst, H., Selevsek, N., Reiter, L., Bonner, R., & Aebersold, R. (2012). Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: A new concept for consistent and accurate proteome analysis. Molecular & Cellular Proteomics, 11, 1–17.
Gorshkov, V., Verano-Braga, T., & Kjeldsen, F. (2015). SuperQuant: A data processing approach to increase Quantitative Proteome Coverage. Analytical Chemistry, 87, 6319–6327.
Gu, J., Lu, C., Guo, J., Chen, L., Chu, Y., Ji, Y., & Ge, D. (2013). Prognostic significance of the IASLC/ ATS/ERS classification in Chinese patients-A single institution retrospective study of 292 lung adenocarcinoma. Journal of Surgical Oncology, 107(5), 474–480.
Ha, S. Y., Choi, S. J., Cho, J. H., Choi, H. J., Lee, J., Jung, K., Irwin, D., Liu, X., Lira, M. E., Mao, M., Kim, H. K., Choi, Y. S., Shim, Y. M., Park, W. Y., Choi, Y. L., & Kim, J. (2015). Lung cancer in never-smoker Asian females is driven by oncogenic mutations, most often involving EGFR. Oncotarget, 6(7), 5465–5474.
Hirsh, V. (2015). Next-generation covalent irreversible Kinase inhibitors in NSCLC: Focus on Afatinib. BioDrugs, 29(3), 167–183.
Hood, B. L., Darfer, M. M., Guiel, T. G., Furusato, B., Lucas, D. A., Ringeisen, B. R., Sesterhenn, I. A., Conrads, T. P., Veenstra, T. D., & Krizman, D. B. (2005). Proteomic analysis of formalin-fixed prostate cancer tissue. Molecular & Cellular Proteomics, 4, 1741–1753.
Hu, H., Pan, Y., Li, Y., Wang, L., Wang, R., Zhang, Y., Li, H., Ye, T., Zhang, Y., Luo, X., Shao, L., Sun, Z., Cai, D., Xu, J., Lu, Q., Deng, Y., Shen, L., Ji, H., Sun, Y., & Chen, H. (2014). Oncogenic mutations are associated with histological subtypes but do not have an independent prognostic value in lung adenocarcinoma. Journal of OncoTargets and Therapy, 7, 1423–1437.
Jänne, P. A., Yang, J. C., Kim, D. W., Planchard, D., Ohe, Y., Ramalingam, S. S., Ahn, M. J., Kim, S. W., Su, W. C., Horn, L., Haggstrom, D., Felip, E., Kim, J. H., Frewer, P., Cantarini, M., Brown, K. H., Dickinson, P. A., Ghiorghiu, S., & Ranson, M. (2015). AZD9291 in EGFR inhibitor-resistant non-small-cell lung cancer. The New England Journal of Medicine, 372(18), 1689–1699.
Jemal, A., Bray, F., Center, M. M., Ferlay, J., Ward, E., & Forman, D. (2011). Global cancer statistics. CA: A Cancer Journal for Clinicians, 61, 69–90.
Kato, Y., Nakamura, H., Tojo, H., Nomura, M., Nagao, T., Kawamura, T., Kodama, T., Ohira, T., Ikeda, N., Fehniger, T., Marko-Varga, G., Nishimura, T., & Kato, H. (2015). A proteomic profiling of laser-microdissected lung adenocarcinoma cells of early lepidic-types. Clinical and Translational Medicine, 4, e24. doi:10.1186/s40169-015-0064-3.
Kawamura, T., Nomura, M., Tojo, H., Fujii, K., Hamasaki, H., Mikami, S., Bando, Y., Kato, H., & Nishimura, T. (2010). Proteomic analysis of laser-microdissected paraffin-embedded tissues: (1) Stage-related protein candidates upon non-metastatic lung adenocarcinoma. Journal of Proteomics, 73, 1100–1110.
KEGG PATHWAY Database. (2016). Available from http://www.genome.jp/kegg/pathway.html. 16 Jan 2016.
Koike, T., Yamato, Y., Asamura, H., Tsuchiya, R., Sohara, Y., Eguchi, K., Mori, M., Nakanishi, Y., Goya, T., Koshiishi, Y., Miyaoka, E., & Japanese Joint Committee for Lung Cancer Registration. (2009). Improvements in surgical results for lung cancer from 1989 to 1999 in Japan. Journal of Thoracic Oncology, 4, 1364–1369.
LaBaer, J. (2012). Improving international research with clinical specimens: 5 achievable objectives. Journal of Proteome Research, 11, 5592–5601.
Leone, A. (2013). Highly sensitive detection of EGFR T790M mutation in pre-TKI specimens of EGFR-mutated NSCLC: In cis, In trans, or a different clone? Journal of Thoracic Oncology, 8(3), e26–e27.
Malm, J., Végvári, A., Rezeli, M., Upton, P., Danmyr, P., Nilsson, R., Steinfelder, E., & Marko-Varga, G. (2012). Large scale biobanking of blood – The importance of high density sample processing procedures. Journal of Proteomics, 76, 116–124.
Mar, N., & Vredenburgh, J. J. (2015). Dual HER2 blockade in non-small cell lung cancer Harboring a HER2 mutation. Connecticut Medicine, 79(9), 531–535.
Marko-Varga, G. (2011). BioBanking – The Holy Grail of novel drug and diagnostic developments. Journal of Clinical Bioinformatics, 13, e14.
Marko-Varga, G., Végvári, A., Welinder, C., Rezeli, M., Edula, G., Svensson, K., Belting, M., Laurell, T., & Fehniger, T. E. (2011). Clinical protein science: utilization of biobank resources and examples of current applications. Journal of Proteome Research, 11, 5124–5134.
Michalski, A., Cox, J., & Mann, M. (2011). More than 100,000 detectable peptide species elute in single shotgun proteomics runs but the majority is inaccessible to data-dependent LC-MS/MS. Journal of Proteome Research, 10, 1785–1793.
Mitsudomi, T., Morita, S., Yatabe, Y., Negoro, S., Okamoto, I., Tsurutani, J., Seto, T., Satouchi, M., Tada, H., Hirashima, T., Asami, K., Katakami, N., Takada, M., Yoshioka, H., Shibata, K., Kudoh, S., Shimizu, E., Saito, H., Toyooka, S., Nakagawa, K., Fukuoka, M., & Group, W. J. O. (2010). Gefitinib versus cisplatin plus docetaxel in patients with non-small-cell lung cancer harbouring mutations of the epidermal growth factor receptor (WJTOG3405): An open label, randomised phase 3 trial. The Lancet Oncology, 11(2), 121–128.
Miyauchi, E., Inoue, A., Kobayashi, K., Maemondo, M., Sugawara, S., Oizumi, S., Isobe, H., Gemma, A., Saijo, Y., Yoshizawa, H., Hagiwara, K., Nukiwa, T., & North-East Japan Study Group. (2015). Efficacy of chemotherapy after first-line gefitinib therapy in EGFR mutation-positive advanced non-small cell lung cancer-data from a randomized Phase III study comparing gefitinib with carboplatin plus paclitaxel (NEJ002). Japanese Journal of Clinical Oncology, 45(7), 670–676.
Nakamura, H., & Saji, H. (2014). A worldwide trend of increasing primary adenocarcinoma of the lun. Surgery Today, 44(6), 1004–1012.
Nakamura, K., Nishio, K., Nishimura, T. (Eds.) & Kato, H (Ed. supervisor). (2012). Clinical Proteomics. Tokyo: Kanehara & Co.
Nishimura T., Tojo H. (2014). Mass spectrometry-based protein sequencing platforms. In G. Marko-Varga (Ed.), Genomics and proteomics for clinical discovery and development (pp. 69–99). (Wang, X (series Ed.) Translational Bioinformatics 6). Dordrecht: Springer.
Nomura, M., Fukuda, T., Fujii, K., Kawamura, T., Tojo, H., Kihara, M., Bando, Y., Gazdar, A. F., Tsuboi, M., Oshiro, H., Nagao, T., Ohira, T., Ikeda, N., Gotoh, N., Kato, H., Marko-Varga, G., & Nishimura, T. (2011). Preferential expression of potential markers for cancer stem cells in large cell neuroendocrine carcinoma of the lung. An FFPE proteomic study. Journal of Clinical Bioinformatics, 1, e23.
Nowell, P., & Hungerford, D. (1960). A minute chromosome in chronic granulocytic leukemia. Science, 132, 1497.
Oxnard, G. R., Nguyen, K. S., & Costa, D. B. (2014). Germline mutations in driver oncogenes and inherited lung cancer risk independent of smoking history. Journal of the National Cancer Institute, 106(1), djt361. doi:10.1093/jnci/djt361.
Panchaud, A., Jung, S., Shaffer, S. A., Aitchison, J. D., & Goodlett, D. R. (2011). Faster, quantitative, and accurate precursor acquisition independent from ion count. Analytical Chemistry, 83, 2250–2257.
Physikron Mass Spectrometry Systems. (2013). Available from http://www.physikron.com/technology/. 15 Jan 2016.
Prieto, D. A., Hood, B. L., Darfler, M. M., Guiel, T. G., Lucas, D. A., Conrads, T. P., et al. (2005). Liquid Tissue™: Proteomic profiling of formalin-fixed tissues. BioTechniques, 38, S32–S35.
RCSB- Research Collaboratory for Structural Bioinformatics. (2015). Protein Data Bank. Available from http://www.rcsb.org/pdb/home/home.do. 16 Jan 2016.
Reactome Pathway Database. (2016). Available from www.reactome.org/. 15 Jan 2016.
Sasaki, H., Shimizu, S., Tani, Y., Maekawa, M., Okuda, K., Yokota, K., Shitara, M., Hikosaka, Y., Moriyama, S., Yano, M., & Fujii, Y. (2012). RET expression and detection of KIF5B/RET gene rearrangements in Japanese lung cancer. Cancer Medicine, 1(1), 68–75.
Scagliotti, G. V., Longo, M., & Novello, S. (2009). Nonsmall cell lung cancer in never smokers. Current Opinion in Oncology, 21, 99–104.
Semenza, G. (2010). Defining the role of hypoxia-inducible factor 1 in cancer biology and therapeutics. Oncogene, 29, 625–634.
Sequist, L. V., Rolfe, L., & Allen, A. R. (2015). Rociletinib in EGFR-mutated non-small-cell lung cancer. The New England Journal of Medicine, 373(6), 578–579.
Shaw, A. T., Camidge, D. R., Engelman, J. A., Solomon, B. J., Kwak, E. L., Clark, J. W., Salgia, R., Shapiro, G., Bang, Y. J., Tan, W., Tye, L., Wilner, K. D., Stephenson, P., Varella-Garcia, M., Bergethon, K., Iafrate, A. J., Ou, S-H. I. (2012). Clinical activity of crizotinib in advanced non-small cell lung cancer (NSCLC) harboring ROS1 gene rearrangement, ASCO Annual Meeting. Journal of Clinical Oncology, 30(Suppl) abstract 7508.
Shtivelman, E., Hensing, T., Simon, G. R., Dennis, P. A., Otterson, G. A., Bueno, R., & Salgia, R. (2014). Molecular pathways and therapeutic targets in lung cancer. Oncotarget, 5(6), 1392–1433.
Siegel, R., Ward, E., Brawley, O., & Jemal, A. (2011). Cancer statistics, the impact of eliminating socioeconomic and racial disparities on premature cancer deaths. CA: A Cancer Journal for Clinicians, 6, 212–236.
Soda, M., Choi, Y. L., Enomoto, M., Takada, S., Yamashita, Y., Ishikawa, S., Fujiwara, S., Watanabe, H., Kurashina, K., Hatanaka, H., Bando, M., Ohno, S., Ishikawa, Y., Aburatani, H., Niki, T., Sohara, Y., Sugiyama, Y., & Mano, H. (2007). ldentification of the transforming EML4-ALK fusion gene in non-small-cell lung cancer. Nature, 448(7153), 561–566.
STRING-The Search Tool for the Retrieval of Interacting Genes/Proteins database. Available from http://string-db.org/. 15 Jan 2016.
Sun, S., Schiller, J. H., & Gazdar, A. F. (2007). Lung cancer in neversmokers – A different disease. Nature Reviews Cancer, 7(10), 778–790.
The data base of Japanese Ministry of Health, Labor and Welfare. (2013) Available from http://www.mhlw.go.jp/toukei/saikin/hw/jinkou/geppo/nengai09/kekka3.html. 15 Jan 2016.
The data base of National Cancer Institute at the National Institute of Health. (2013). Available from http://www.cancer.gov/cancertopics/types/lung. 15 Jan 2016.
The National Lung Screening Trial Research Team. (2011). Reduced lung-cancer mortality with low-dose computed tomographic screening. The New England Journal of Medicine, 365, 395–409.
Thress, K. S., Paweletz, C. P., Felip, E., Cho, B. C., Stetson, D., Dougherty, B., Lai, Z., Markovets, A., Vivancos, A., Kuang, Y., Ercan, D., Matthews, S. E., Cantarini, M., Barrett, J. C., Jänne, P. A., & Oxnard, G. R. (2015). Acquired EGFR C797S mutation mediates resistance to AZD9291 in non-small cell lung cancer harboring EGFR T790M. Nature Medicine, 21(6), 560–562.
Toh, C. K., Wong, E. H., Lim, W. T., Leong, S. S., Fong, K. W., Wee, J., & Tan, E. H. (2004). The impact of smoking status on the behavior and survival outcome of patients with advanced non-small cell lung cancer: A retrospective analysis. Chest, 126, 1750–1756.
Tomlins, S. A., Laxman, B., Varambally, S., Cao, X., Yu, J., Helgeson, B. E., Cao, Q., Prensner, J. R., Rubin, M. A., Shah, R. B., Mehra, R., & Chinnaiyan, A. M. (2008). Role of the TMPRSS2-ERG gene fusion in prostate cancer. Neoplasia, 10(2), 177–188.
Travis, W. D. (2010). Advances in neuroendocrine lung tumors. Annals of Oncology, 21(Suppl. 7), vii 65–vii 71.
Travis, W. D., Linnoila, R. I., Tsokos, M. G., Hitchcock, C. L., Cutler, G. B., Jr., Nieman, L., Chrousos, G., Pass, H., & Doppman, J. (1991). Neuroendocrine tumors of the lung with proposed criteria for large-cell neuroendocrine carcinoma. An ultrastructural, immunohistochemical, and flow cytometric study of 35 cases. The American Journal of Surgical Pathology, 15, 529–553.
Travis, W. D., Colby, T. V., Corrin, B., Shimosato, Y., & Brambilla, E. (1999). Introduction. In Histological typing of lung and pleural tumours (pp. 1–19). Berlin/Heidelberg: Springer.
Travis, W. D., Brambilla, E., Müller-Hermelink, H. K., & Harris, C. C. (Eds.). (2004). Genetics of tumors of lung, pleura, thymus and heart (pp. 37–38). Lyon: IARC Press.
Travis, W. D., Brambilla, E., Noguchi, M., Nicholson, A. G., Geisinger, K. R., Yatabe, Y., Beer, D. G., Powell, C. A., Riely, G. J., Van Schil, P. E., Garg, K., Austin, J. H., Asamura, H., Rusch, V. W., Hirsch, F. R., Scagliotti, G., Mitsudomi, T., Huber, R. M., Ishikawa, Y., Jett, J., Sanchez-Cespedes, M., Sculier, J. P., Takahashi, T., Tsuboi, M., Vansteenkiste, J., Wistuba, I., Yang, P. C., Aberle, D., Brambilla, C., Flieder, D., Franklin, W., Gazdar, A., Gould, M., Hasleton, P., Henderson, D., Johnson, B., Johnson, D., Kerr, K., Kuriyama, K., Lee, J. S., Miller, V. A., Petersen, I., Roggli, V., Rosell, R., Saijo, N., Thunnissen, E., Tsao, M., & Yankelewitz, D. (2011). International association for the study of lung cancer/american thoracic society/european respiratory society international multidisciplinary classification of lung adenocarcinoma. Journal of Thoracic Oncology, 6(2), 244–285.
Varlotto, J. M., Medford-Davis, L. N., Recht, A., Flickinger, J. C., Schaefer, E., Zander, D. S., & DeCamp, M. M. (2011). Should large cell neuroendocrine lung carcinoma be classified and treated as a small cell lung cancer or with other large cell carcinomas? Journal of Thoracic Oncology, 6(6), 1050–1058.
Végvári, Á., Rezeli, M., Döme, B., Fehniger, T. E., & Marko-Varga, G. (2011a). Translation science for targeted personalized medicine treatments. In S. Sanders (Ed.), Selected presentations from the 2011 Sino-American symposium on clinical and translational medicine (pp. 36–37). Washington, DC: Science/AAAS.
Végvári, Á., Welinder, C., Lindberg, H., Fehniger, T. E., & Marko-Varga, G. (2011b). Biobank resources for future patient care: Developments, principles and concepts. Journal of Clinical Bioinformatics, 1, e24.
Weinstein, I. B. (2001). Addiction to oncogenes—The Achilles heal of cancer. Science, 297(5578), 63–64.
Wisniewski, J. R., Ostasiewicz, P., & Mann, M. (2011). High recovery FASP applied to the proteomic analysis of microdissected formalin fixed paraffin embedded cancer tissues retrieves known colon cancer markers. Journal of Proteome Research, 10, 3040–3049.
Wu, X, Fang, X, Zhu, Z, & Wang, X. (2014) Clinical Bioinforatics: A new emerging science of biomarker development. In Marko-Varga, G. (Ed.), Genomics and proteomics for clinical discovery and development (pp. 175–191), (Wang, X (series Ed.), Translational Bioinformatics 6). Dordrecht: Springer.
Yoshizawa, A., Motoi, N., Riely, G. J., Sima, C. S., Gerald, W. L., Kris, M. G., Park, B. J., Rusch, V. W., & Travis, W. D. (2011). Impact of proposed IASLC/ATS/ERS classification of lung adenocarcinoma: prognostic subgroups and implications for further revision of staging based on analysis of 514 stage I cases. Modern Pathology, 24(5), 653–664.
Yoshizawa, A., Sumiyoshi, S., Sonobe, M., Kobayashi, M., Fujimoto, M., Kawakami, F., Tsuruyama, T., Travis, W. D., Date, H., & Haga, H. (2013). Validation of the IASLC/ATS/ERS lung adenocarcinoma classification for prognosis and association with EGFR and KRAS gene mutations: Analysis of 440 Japanese patients. Journal of Thoracic Oncology, 8(1), 52–61.
Acknowledgments
TN and HN thank Professor Emeritus Dr. Harubumi Kato at Tokyo Medical University for his valuable guidance regarding to clinical study designs, and Drs. Melinda Rezeli, Charlotte Welinder, Johan Malm, the late Thomas E. Fehniger, and György Marko-Varga at the Center of Excellence in Biological and Medical Mass Spectrometry, Biomedical Center, Lund University for their collaborative developments of MS-based technologies. TN especially thanks Dr. Ákos Végvári at Pharmacology & Toxicology, University of Texas Medical Branch, Galveston TX USA, for his instruction to MS-based protein-mutation studies by utilizing the MuPdb.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Nishimura, T., Nakamura, H. (2016). Developments for Personalized Medicine of Lung Cancer Subtypes: Mass Spectrometry-Based Clinical Proteogenomic Analysis of Oncogenic Mutations. In: Végvári, Á. (eds) Proteogenomics. Advances in Experimental Medicine and Biology, vol 926. Springer, Cham. https://doi.org/10.1007/978-3-319-42316-6_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-42316-6_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-42314-2
Online ISBN: 978-3-319-42316-6
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)