Skip to main content
SpringerLink
Log in

Proteomic technology for biomarker profiling in cancer: an update

  • Review
  • Published:
Journal of Zhejiang University SCIENCE B Aims and scope Submit manuscript

Abstract

The progress in the understanding of cancer progression and early detection has been slow and frustrating due to the complex multifactorial nature and heterogeneity of the cancer syndrome. To date, no effective treatment is available for advanced cancers, which remain a major cause of morbidity and mortality. Clearly, there is urgent need to unravel novel biomarkers for early detection.

Most of the functional information of the cancer-associated genes resides in the proteome. The later is an exceptionally complex biological system involving several proteins that function through posttranslational modifications and dynamic intermolecular collisions with partners. These protein complexes can be regulated by signals emanating from cancer cells, their surrounding tissue microenvironment, and/or from the host. Some proteins are secreted and/or cleaved into the extracellular milieu and may represent valuable serum biomarkers for diagnosis purpose. It is estimated that the cancer proteome may include over 1.5 million proteins as a result of posttranslational processing and modifications. Such complexity clearly highlights the need for ultra-high resolution proteomic technology for robust quantitative protein measurements and data acquisition. This review is to update the current research efforts in high-resolution proteomic technology for discovery and monitoring cancer biomarkers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Aebersold, R., Goodlett, D.R., 2001. Mass spectrometry in proteomics. Chem. Rev., 101(2):269–295. [doi:10.1021/cr990076h]

    Article  PubMed  CAS  Google Scholar 

  • Aebersold, R., Mann, M., 2003. Mass spectrometry-based proteomics. Nature, 422(6928):198–207. [doi:10.1038/nature01511]

    Article  PubMed  CAS  Google Scholar 

  • Anderson, N.L., Anderson, N.G., 2002. The human plasma proteome: history, character, and diagnostic prospects. Mol. Cell. Proteomics, 1(11):845–867. [doi:10.1074/mcp. R200007-MCP200]

    Article  PubMed  CAS  Google Scholar 

  • Bachelot, T., Ray-Coquard, I., Menetrier-Caux, C., Rastkha, M., Duc, A., Blay, J.Y., 2003. Prognostic value of serum levels of interleukin 6 and of serum and plasma levels of vascular endothelial growth factor in hormone-refractory metastatic breast cancer patients. Br. J. Cancer, 88(11):1721–1726. [doi:10.1038/sj.bjc.6600956]

    Article  PubMed  CAS  Google Scholar 

  • Balmain, A., Gray, J., Ponder, B., 2003. The genetics and genomics of cancer. Nature Genet., 33(Suppl. 3):238–244. [doi:10.1038/ng1107]

    Article  PubMed  CAS  Google Scholar 

  • Bast, R.C.Jr, Badgwell, D., Lu, Z., Marquez, R., Rosen, D., Liu, J., Baggerly, K.A., Atkinson, E.N., Skates, S., Zhang, Z., et al., 2005. New tumor markers: CA125 and beyond. Int. J. Gynecol. Cancer, 15(Suppl. 3):274–281. [doi:10.1111/j.1525-1438.2005.00441.x]

    Article  PubMed  Google Scholar 

  • Bayer, E.M., Bottrill, A.R., Walshaw, J., Vigouroux, M., Naldrett, M.J., Thomas, C.L., Maule, A.J., 2006. Arabidopsis cell wall proteome defined using multidimensional protein identification technology. Proteomics, 6(1):301–311. [doi:10.1002/pmic.200500046]

    Article  PubMed  CAS  Google Scholar 

  • Bichsel, V.E., Liotta, L.A., Petricoin, E.F., 2001. Cancer proteomics: from biomarker discovery to signal pathway profiling. Cancer J., 7:69–78.

    PubMed  CAS  Google Scholar 

  • Blagoev, B., Ong, S.E., Kratchmarova, I., Mann, M., 2004. Temporal analysis of phosphotyrosine-dependent signaling networks by quantitative proteomics. Nat. Biotechnol., 22(9):1139–1145. [doi:10.1038/nbt1005]

    Article  PubMed  CAS  Google Scholar 

  • Boguski, M.S., McIntosh, M.W., 2003. Biomedical informatics for proteomics. Nature, 422(6928):233–237. [doi:10.1038/nature01515]

    Article  PubMed  CAS  Google Scholar 

  • Braun, S., Pantel, K., Muller, P., Janni, W., Hepp, F., Kentenich, C.R., Gastroph, S., Wischnik, A., Dimpfl, T., Kindermann, G., et al., 2000. Cytokeratin-positive cells in the bone marrow and survival of patients with stage I, II, or III breast cancer. N. Engl. J. Med., 342(8):525–533. [doi:10.1056/NEJM200002243420801]

    Article  PubMed  CAS  Google Scholar 

  • Cagney, G., Emili, A. 2002. De novo peptide sequencing and quantitative profiling of complex protein mixtures using mass-coded abundance tagging. Nat. Biotechnol., 20(2):163–170. [doi:10.1038/nbt0202-163]

    Article  PubMed  CAS  Google Scholar 

  • Celis, J.E., Gromov, P., 2003. Proteomics in translational cancer research: toward an integrated approach. Cancer Cell, 3(1):9–15. [doi:10.1016/S1535-6108(02)00242-8]

    Article  PubMed  CAS  Google Scholar 

  • Celis, J.E., Celis, P., Palsdottir, H., Ostergaard, M., Gromov, P., Primdahl, H., Orntoft, T.F., Wolf, H., Celis, A., Gromova, I., 2002. Proteomic strategies to reveal tumor heterogeneity among urothelial papillomas. Mol. Cell Proteomics, 1(4):269–279. [doi:10.1074/mcp.M100031-MCP200]

    Article  PubMed  CAS  Google Scholar 

  • Chakravarti, D.N., Gallagher, S., Chakravarti, B., 2004. Difference gel electrophoresis: application in quantitative proteomics research. Current Proteomics, 1(4):261–271.

    CAS  Google Scholar 

  • Chen, E.I., Hewel, J., Felding-Habermann, B., Yates, J.R.3rd, 2006. Large scale protein profiling by combination of protein fractionation and multidimensional protein identification technology (MudPIT). Mol. Cell Proteomics., 5(1):53–56. [doi:10.1074/mcp.T500013-MCP200]

    Article  PubMed  CAS  Google Scholar 

  • Clarke, C.H., Buckley, J.A., Fung, E.T., 2005. SELDI-TOF-MS proteomics of breast cancer. Clin. Chem. Lab. Med., 43(12):1314–1320. [doi:10.1515/CCLM.2005.225]

    Article  PubMed  CAS  Google Scholar 

  • Conrads, T.P., Hood, B.L., Petricoin III, E.F., Liotta, L.A., Veenstra, T.D., 2005. Cancer proteomics: many technologies, one goal. Expert Rev. Proteomics, 2(5):693–703. [doi:10.1586/14789450.2.5.693]

    Article  PubMed  CAS  Google Scholar 

  • Corder, E.H., Guess, H.A., Hulka, B.S., Friedman, G.D., Sadler, M., Vollmer, R.T., Lobaugh, B., Drezner, M.K., Vogelman, J.H., Orentreich, N., 1993. Vitamin D and prostate cancer: a prediagnostic study with stored sera. Cancer Epidemiol., Biomarkers & Prev., 2:467–472.

    CAS  Google Scholar 

  • Durr, E., Yu, J., Krasinska, K.M., Carver, L.A., Yates, J.R., Testa, J.E., Oh, P., Schnitzer, J.E., 2004. Direct proteomic mapping of the lung microvascular endothelial cell surface in vivo and in cell culture. Nat. Biotechnol., 22(8):985–992. [doi:10.1038/nbt993]

    Article  PubMed  CAS  Google Scholar 

  • Ebanks, R.O., Goguen, M., McKinnon, S., Pinto, D.M., Ross, N.W., 2005. Identification of the major outer membrane proteins of Aeromonas salmonicida. Dis. Aquat. Organ., 68(1):29–38.

    PubMed  CAS  Google Scholar 

  • Ebanks, R.O., Chisholm, K., McKinnon, S., Whiteway, M., Pinto, D.M., 2006. Proteomic analysis of Candida albicans yeast and hyphal cell wall and associated proteins. Proteomics, 6(7):2147–2156. [doi:10.1002/pmic.200500100]

    Article  PubMed  CAS  Google Scholar 

  • Guzzetta, A.W., Chien, A.S., 2005. A double-vented tetraphasic continuous column approach to MuDPIT analysis on long capillary columns demonstrates superior proteomic coverage. J. Proteome Res., 4(6):2412–2419. [doi:10.1021/pr050209h]

    Article  PubMed  CAS  Google Scholar 

  • Hammond, M.E., Taube, S.E., 2002. Issues and barriers to development of clinically useful tumor markers: a development pathway proposal. Semin. Oncol., 29(3):213–221. [doi:10.1053/sonc.2002.32896]

    Article  PubMed  Google Scholar 

  • Hanash, S., 2001. 2-D or not 2-D: is there a future for 2-D gels in proteomics? Insights from the York proteomics meeting. Proteomics, 1:635–637.

    PubMed  CAS  Google Scholar 

  • Hanash, S., 2003. Disease proteomics. Nature, 422(6928): 226–232. [doi:10.1038/nature01514]

    Article  PubMed  CAS  Google Scholar 

  • Henderson, N.A., Steele, R.J., 2005. SELDI-TOF proteomic analysis and cancer detection. Surgeon, 3(6):383–390.

    Article  PubMed  CAS  Google Scholar 

  • Hoheisel, J.D., 2006. Microarray technology: beyond transcript profiling and genotype analysis. Nat. Rev. Genet., 7(3):200–210. [doi:10.1038/nrg1809]

    Article  PubMed  CAS  Google Scholar 

  • Jessani, N., Niessen, S., Wei, B.Q., Nicolau, M., Humphrey, M., Ji, Y., Han, W., Noh, D.Y., Yates, J.R.3rd, Jeffrey, S.S., et al., 2005. A streamlined platform for high-content functional proteomics of primary human specimens. Nat. Methods, 2(9):691–697. [doi:10.1038/nmeth778]

    Article  PubMed  CAS  Google Scholar 

  • Kachman, M.T., Wang, H., Schwartz, D.R., Cho, K.R., Lubman, D.M., 2002. A 2-D liquid separations/mass mapping method for interlysate comparison of ovarian cancers. Anal. Chem., 74(8):1779–1791. [doi:10.1021/ac011159c]

    Article  PubMed  CAS  Google Scholar 

  • Kaji, H., Saito, H., Yamauchi, Y., Shinkawa, T., Taoka, M., Hirabayashi, J., Kasai, K., Takahashi, N., Isobe, T., 2003. Lectin affinity capture, isotope-coded tagging and mass spectrometry to identify N-linked glycoproteins. Nat. Biotechnol., 21(6):667–672. [doi:10.1038/nbt829]

    Article  PubMed  CAS  Google Scholar 

  • Khodavirdi, A.C., Song, Z., Yang, S., Zhong, C., Wang, S., Wu, H., Pritchard, C., Nelson, P.S., Roy-Burman, P., 2006. Increased expression of osteopontin contributes to the progression of prostate cancer. Cancer Res., 66(2):883–888. [doi:10.1158/0008-5472.CAN-05-2816]

    Article  PubMed  CAS  Google Scholar 

  • Knezevic, V., Leethanakul, C., Bichsel, V.E., Worth, J.M., Prabhu, V.V., Gutkind, J.S., Liotta, L.A., Munson, P.J., Petricoin III, E.F., Krizman, D.B., 2001. Proteomic profiling of the cancer microenvironment by antibody arrays. Proteomics, 1(10):1271–1278. [doi:10.1002/1615-9861(200110)1:10<1271::AID-PROT1271>3.0.CO;2-6]

    Article  PubMed  CAS  Google Scholar 

  • Kozak, K.R., Su, F., Whitelegge, J.P., Faull, K., Reddy, S., Farias-Eisner, R., 2005. Characterization of serum bio-markers for detection of early stage ovarian cancer. Proteomics, 5(17):4589-4596. [doi:10.1002/pmic.200500093]

    Google Scholar 

  • Lilley, K.S., Friedman, D.B., 2004. All about DIGE: quantification technology for differential-display 2D-gel proteomics. Exp. Rev. Proteomics, 1(4):401–409. [doi:10.1586/14789450.1.4.401]

    Article  CAS  Google Scholar 

  • Liotta, L.A., Petricoin, E.F., 2006. Serum peptidome for cancer detection: spinning biologic trash into diagnostic gold. J. Clin. Invest., 116(1):26–30. [doi:10.1172/JCI27467]

    Article  PubMed  CAS  Google Scholar 

  • Ludwig, J.A., Weinstein, J.N., 2005. Biomarkers in Cancer Staging, Prognosis and Treatment Selection. Nature Reviews Cancer, 5(11):845–856. [doi:10.1038/nrc1739]

    Article  PubMed  CAS  Google Scholar 

  • Masselon, C., Pasa-Tolic, L., Tolic, N., Anderson, G.A., Bogdanov, B., Vilkov, A.N., Shen, Y., Zhao, R., Qian, W.J., Lipton, M.S., et al., 2005. Targeted comparative proteomics by liquid chromatography-tandem fourier ion cyclotron resonance mass spectrometry. Anal. Chem., 77(2):400–406. [doi:10.1021/ac049043e]

    Article  PubMed  CAS  Google Scholar 

  • McCormack, A.L., Schieltz, D.M., Goode, B., Yang, S., Barnes, G., Drubin, D., Yates, J.R.3rd, 1997. Direct analysis and identification of proteins in mixtures by LC/MS/MS and database searching at the low-Femtomole level. Anal. Chem., 69(4):767–776. [doi:10.1021/ac960799q]

    Article  PubMed  CAS  Google Scholar 

  • Melanson, J.E., Chisholm, K.A., Pinto, D.M., 2006. Targeted comparative proteomics by liquid chromatography/matrix-assisted laser desorption/ionization triple-quadrupole mass spectrometry. Rapid Commun. Mass Spectrom., 20(5):904–910. [doi:10.1002/rcm.2391]

    Article  PubMed  CAS  Google Scholar 

  • Menard, C., Johann, D., Lowenthal, M., Muanza, T., Sproull, M., Ross, S., Gulley, J., Petricoin, E., Coleman, C.N., Whiteley, G., et al., 2006. Discovering clinical bio-markers of ionizing radiation exposure with serum proteomic analysis. Cancer Res., 66(3):1844–1850. [doi:10.1158/0008-5472.CAN-05-3466]

    Article  PubMed  CAS  Google Scholar 

  • Moshkovskii, S.A., Serebryakova, M.V., Kuteykin-Teplyakov, K.B., Tikhonova, O.V., Goufman, E.I., Zgoda, V.G., Taranets, I.N., Makarov, O.V., Archakov, A.I., 2005. Ovarian cancer marker of 11.7 kDa detected by proteomics is a serum amyloid A1. Proteomics, 5(14):3790–3797. [doi:10.1002/pmic.200401205]

    Article  PubMed  CAS  Google Scholar 

  • Nemeth-Cawley, J.F., Tangarone, B.S., Rouse, J.C., 2003. “Top Down” characterization is a complementary technique to peptide sequencing for identifying protein species in complex mixtures. J. Proteome Res., 2(5):495–505. [doi:10.1021/pr034008u]

    Article  PubMed  CAS  Google Scholar 

  • Nishizuka, S., Charboneau, L., Young, L., Major, S., Reinhold, W.C., Waltham, M., Kouros-Mehr, H., Bussey, K.J., Lee, J.K., Espina, V., et al., 2003. Proteomic profiling of the NCI-60 cancer cell lines using new high-density reverse-phase lysate microarrays. Proc. Natl. Acad. Sci. (USA), 100:14229–14234.

    Article  CAS  Google Scholar 

  • Ong, S.E., Mann, M., 2005. Mass spectrometry-based proteomics turns quantitative. Nat. Chem. Biol., 1(5): 252–262. [doi:10.1038/nchembio736]

    Article  PubMed  CAS  Google Scholar 

  • Orchekowski, R., Hamelinck, D., Li, L., Gliwa, E., van-Brocklin, M., Marrero, J.A., Vande, Woude, G.F., Feng, Z., Brand, R., Haab, B.B., 2005. Antibody microarray profiling reveals individual and combined serum proteins associated with pancreatic cancer. Cancer Res., 65(23):11193–11202. [doi:10.1158/0008-5472.CAN-05-1436]

    Article  PubMed  CAS  Google Scholar 

  • Ozier, O., Amin N., Ideker, T., 2003. Global architecture of genetic interactions on the protein network. Nat. Bio-technol., 21(5):490–491.

    Article  CAS  Google Scholar 

  • Paweletz, C.P., Liotta, L.A., Petricoin, E.F., 2001. New technologies for biomarker analysis of prostate cancer progression: laser capture microdissection and tissue proteomics. Urology, 57(4):160–163. [doi:10.1016/S0090-4295(00)00964-X]

    Article  PubMed  CAS  Google Scholar 

  • Pawlik, T.M., Hawke, D.H., Liu, Y., Krishnamurthy, S., Fritsche, H., Hunt, K.K., Kuerer, H.M., 2006. Proteomic analysis of nipple aspirate fluid from women with early-stage breast cancer using isotope-coded affinity tags and tandem mass spectrometry reveals differential expression of vitamin D binding protein. BMC Cancer, 6(1):68.

    Article  PubMed  CAS  Google Scholar 

  • Petricoin, E.F., Zoon, K.C., Kohn, E.C., Barrett, J.C., Liotta, L.A., 2002a. Clinical proteomics: translating benchside promise into bedside reality. Nature Rev. Drug Discov., 1(9):683–695. [doi:10.1038/nrd891]

    Article  CAS  Google Scholar 

  • Petricoin III, E., Ardekani, A., Hitt, B., Levine, P., Fusaro, V., Steinberg, S., Mills, G., Simone, C., Fishman, D., Kohn, E., et al., 2002b. Use of proteomic patterns in serum to identify ovarian cancer. The Lancet, 359(9306):572–577. [doi:10.1016/S0140-6736(02)07746-2]

    Article  CAS  Google Scholar 

  • Petricoin, E.F., Ornstein, D.K., Liotta, L.A., 2004. Clinical proteomics: applications for prostate cancer biomarker discovery and detection. Urol. Oncol., 22(4):322–328.

    PubMed  CAS  Google Scholar 

  • Phizicky, E., Bastiaens, P.I.H., Zhu, H., Snyder, M., Fields, S., 2003. Protein analysis on a proteomic scale. Nature, 422(6928):208–215. [doi:10.1038/nature01512]

    Article  PubMed  CAS  Google Scholar 

  • Pusztai, L., Gianni, L., 2004. Technology insight: emerging techniques to predict response to preoperative chemotherapy in breast cancer. Nat. Clin. Pract. Oncol., 1(1):44–50. [doi:10.1038/ncponc0025]

    Article  PubMed  Google Scholar 

  • Ramus, C., de Peredo, A.G., Dahout, C., Gallagher, M., Garin, J., 2006. An optimized strategy for ICAT quantification of membrane proteins. Mol. Cell Proteomics., 5(1):68–78. [doi:10.1074/mcp.M500205-MCP200]

    Article  PubMed  CAS  Google Scholar 

  • Ricolleau, G., Charbonnel, C., Lode, L., Loussouarn, D., Joalland, M.P., Bogumil, R., Jourdain, S., Minvielle, S., Campone, M., Deporte-Fety, R., et al., 2006. Surface-enhanced laser desorption/ionization time of flight mass spectrometry protein profiling identifies ubiquitin and ferritin light chain as prognostic biomarkers in node-negative breast cancer tumors. Proteomics, 6(6):1963–1975. [doi:10.1002/pmic.200500283]

    Article  PubMed  CAS  Google Scholar 

  • Righetti, P.G., Castagna, A., Herbert, B., Reymond, F., Rossier, J.S., 2003. Prefractionation techniques in proteome analysis. Proteomics, 3(8):1397–1407. [doi:10.1002/pmic.200300472]

    Article  PubMed  CAS  Google Scholar 

  • Schrimpf, S.P., Meskenaite, V., Brunner, E., Rutishauser, D., Walther, P., Eng, J., Aebersold, R., Sonderegger, P., 2005. Proteomic analysis of synaptosomes using isotope-coded affinity tags and mass spectrometry. Proteomics, 5(10):2531–2541. [doi:10.1002/pmic.200401198]

    Article  PubMed  CAS  Google Scholar 

  • Shadforth, I.P., Dunkley, T.P., Lilley, K.S., Bessant, C., 2005. i-Tracker: for quantitative proteomics using iTRAQ. BMC Genomics, 6(1):145. [doi:10.1186/1471-2164-6-145]

    Article  PubMed  CAS  Google Scholar 

  • Shen, Y., Strittmatter, E.F., Zhang, R., Metz, T.O., Moore, R.J., Li, F., Udseth, H.R., Smith, R.D., Unger, K.K., Kumar, D., et al., 2005. Making broad proteome protein measurements in 1∼5 min using high-speed RPLC separations and high-accuracy mass measurements. Anal. Chem., 77(23):7763–7773. [doi:10.1021/ac051257o]

    Article  PubMed  CAS  Google Scholar 

  • Sidransky, D., 2002. Emerging molecular markers of cancer. Nature Rev. Cancer, 2(3):210–219. [doi:10.1038/nrc755]

    Article  CAS  Google Scholar 

  • Staunton, J.E., Slonim, D.K., Coller, H.A., Tamayo, P., Angelo, M.J., Park, J., Scherf, U., Lee, J.K., Reinhold, W.O., Weinstein, J.N., Mesirov, J.P., et al., 2001. Chemosensitivity prediction by transcriptional profiling. Proc. Natl. Acad. Sci. (USA), 98:10787–10792.

    Article  CAS  Google Scholar 

  • Tyers, M., Mann, M., 2003. From genomics to proteomics. Nature, 422(6928):193–197. [doi:10.1038/nature01510]

    Article  PubMed  CAS  Google Scholar 

  • van de Vijver, M.J., He, Y.D., van′t Veer, L.J., Dai, H., Hart, A.A., Voskuil, D.W., Schreiber, G.J., Peterse, J.L., Roberts, C., Marton, M.J., et al., 2002. A gene-expression signature as a predictor of survival in breast cancer. N. Engl. J. Med., 347(25):1999–2009. [doi:10.1056/NEJMoa021967]

    Article  PubMed  Google Scholar 

  • van′t Veer, L.J., Dai, H., van de Vijver, M.J., He, Y.D., Hart, A.A., Mao, M., Peterse, H.L., van der Kooy, K., Marton, M.J., Witteveen, A.T., et al., 2002. Gene-expression profiling predicts clinical outcome of breast cancer. Nature, 415(6871):530–536. [doi:10.1038/415530a]

    Article  Google Scholar 

  • Wang, H., Clouthier, S.G., Galchev, V., Misek, D.E., Duffner, U., Min, C.K., Zhao, R., Tra, J., Omenn, G.S., Ferrara, J.L., et al., 2005. Intact-protein-based high-resolution three-dimensional quantitative analysis system for proteome profiling of biological fluids. Molecular & Cellular Proteomics, 4(5):618–625. [doi:10.1074/mcp.M400126-MCP200]

    Article  CAS  Google Scholar 

  • Washburn, M.P., Ulaszek, R.R., Yates, J.R.3rd, 2003. Reproducibility of quantitative proteomic analyses of complex biological mixtures by multidimensional protein identification technology. Anal. Chem., 75(19):5054–5061. [doi:10.1021/ac034120b]

    Article  PubMed  CAS  Google Scholar 

  • Wolters, D.A., Washburn, M.P., Yates, J.R.III., 2001. An automated multidimensional protein identification technology for shotgun proteomics. Anal. Chem., 73(23):5683–5690. [doi:10.1021/ac010617e]

    Article  PubMed  CAS  Google Scholar 

  • Wu, C.C., MacCoss, M.J., Howell, K.E., Yates, J.R.3rd, 2003. A method for the comprehensive proteomic analysis of membrane proteins. Nat. Biotechnol., 21(5):532–538. [doi:10.1038/nbt819]

    Article  PubMed  CAS  Google Scholar 

  • Wu, W.W., Wang, G., Baek, S.J., Shen, R.F., 2006. Comparative study of three proteomic quantitative methods, DIGE, cICAT, and iTRAQ, using 2D gel-or LC-MALDITOF/TOF. J. Proteome Res., 5(3):651–658. [doi:10.1021/pr050405o]

    Article  PubMed  CAS  Google Scholar 

  • Wulfkuhle, J.D., Liotta, L.A., Petricoin, E.F., 2003. Proteomic applications for the early detection of cancer. Nature Rev. Cancer, 3(4):267–275. [doi:10.1038/nrc1043]

    Article  CAS  Google Scholar 

  • Ye, B., Cramer, D.W., Skates, S.J., Gygi, S.P., Pratomo, V., Fu, L., Horick, N.K., Licklider, L.J., Schorge, J.O., Berkowitz, R.S., et al., 2003. Haptoglobin-alpha subunit as potential serum biomarker in ovarian cancer: identification and characterization using proteomic profiling and mass spectrometry. Clin. Cancer Res., 9(8):2904–2911.

    PubMed  CAS  Google Scholar 

  • Yu, K.H., Rustgi, A.K., Blair, I.A., 2005. Characterization of proteins in human pancreatic cancer serum using differential gel electrophoresis and tandem mass spectrometry. J. Proteome Res., 4(5):1742–1751. [doi:10.1021/pr050174l]

    Article  PubMed  CAS  Google Scholar 

  • Zhang, Z., Bast, R.C.Jr., Yu, Y., Li, J., Sokoll, L.J., Rai, A.J., Rosenzweig, J.M., Cameron, B., Wang, Y.Y., Meng, X.Y., et al., 2004. Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer. Cancer Res., 64(16):5882–5890. [doi:10.1158/0008-5472.CAN-04-0746]

    Article  PubMed  CAS  Google Scholar 

  • Ziauddin, J., Sabatini, D.M., 2001. Microarrays of cells expressing defined cDNAs. Nature, 411(6833):107–110. [doi:10.1038/35075114]

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Lady Davis Institute for Medical Research and Segal Comprehensive Cancer Center of the Sir Mortimer B. Davis Jewish General Hospital, Department of Oncology and Medicine, McGill University, Montreal, Que., H3T 1E2, Canada

    Alaoui-Jamali Moulay A. & Xu Ying-jie

Authors
  1. Alaoui-Jamali Moulay A.
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xu Ying-jie
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Project supported by the National Cancer Institute of Canada

Rights and permissions

Reprints and permissions

About this article

Cite this article

Alaoui-Jamali, M.A., Xu, Yj. Proteomic technology for biomarker profiling in cancer: an update. J. Zhejiang Univ. - Sci. B 7, 411–420 (2006). https://doi.org/10.1631/jzus.2006.B0411

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1631/jzus.2006.B0411

Key words

CLC number

Search

Navigation