Skip to main content
Top
Published in: Clinical & Experimental Metastasis 6/2010

01-08-2010 | Research Paper

Proteomic strategies and challenges in tumor metastasis research

Authors: Petra Hudler, Masa Gorsic, Radovan Komel

Published in: Clinical & Experimental Metastasis | Issue 6/2010

Login to get access

Abstract

The rapidly evolving field of proteomics offers new approaches to understanding the pathogenesis of cancer and metastatic disease. Although numerous tumor markers have been identified with different genomic methods in the past, most are either not specific or sensitive enough to be used in routine clinical setting. The rationale for proteomic profiling is based on the fact that proteins represent the dynamic state of the cells, reflecting pathophysiological changes in the disease more accurately than genomic and epigenetic alterations. Emerging proteomic techniques allow simultaneous assessment of a large number of proteins at one time. The study of protein profiles in complex systems, such as plasma, serum or tissues of cancer patients is likely to become valuable for monitoring the response of patients during treatment or for detecting recurrence of the disease.
Literature
1.
go back to reference Fokas E et al (2007) Metastasis: the seed and soil theory gains identity. Cancer Metastasis Rev 26(3–4):705–715CrossRefPubMed Fokas E et al (2007) Metastasis: the seed and soil theory gains identity. Cancer Metastasis Rev 26(3–4):705–715CrossRefPubMed
2.
go back to reference Pantel K, Brakenhoff RH, Brandt B (2008) Detection, clinical relevance and specific biological properties of disseminating tumour cells. Nat Rev Cancer 8(5):329–340CrossRefPubMed Pantel K, Brakenhoff RH, Brandt B (2008) Detection, clinical relevance and specific biological properties of disseminating tumour cells. Nat Rev Cancer 8(5):329–340CrossRefPubMed
4.
go back to reference Fidler IJ (2003) The pathogenesis of cancer metastasis: the ‘seed and soil’ hypothesis revisited. Nat Rev Cancer 3(6):453–458CrossRefPubMed Fidler IJ (2003) The pathogenesis of cancer metastasis: the ‘seed and soil’ hypothesis revisited. Nat Rev Cancer 3(6):453–458CrossRefPubMed
5.
go back to reference Langley RR, Fidler IJ (2007) Tumor cell–organ microenvironment interactions in the pathogenesis of cancer metastasis. Endocr Rev 28(3):297–321CrossRefPubMed Langley RR, Fidler IJ (2007) Tumor cell–organ microenvironment interactions in the pathogenesis of cancer metastasis. Endocr Rev 28(3):297–321CrossRefPubMed
6.
go back to reference Chen YR et al (2006) Quantitative proteomic and genomic profiling reveals metastasis-related protein expression patterns in gastric cancer cells. J Proteome Res 5(10):2727–2742CrossRefPubMed Chen YR et al (2006) Quantitative proteomic and genomic profiling reveals metastasis-related protein expression patterns in gastric cancer cells. J Proteome Res 5(10):2727–2742CrossRefPubMed
7.
go back to reference Ludwig JA, Weinstein JN (2005) Biomarkers in cancer staging, prognosis and treatment selection. Nat Rev Cancer 5(11):845–856CrossRefPubMed Ludwig JA, Weinstein JN (2005) Biomarkers in cancer staging, prognosis and treatment selection. Nat Rev Cancer 5(11):845–856CrossRefPubMed
8.
go back to reference Polanski M, Anderson NL (2006) A list of candidate cancer biomarkers for targeted proteomics. Biomark Insights 2:1–48 Polanski M, Anderson NL (2006) A list of candidate cancer biomarkers for targeted proteomics. Biomark Insights 2:1–48
9.
10.
11.
go back to reference Zieglschmid V, Hollmann C, Bocher O (2005) Detection of disseminated tumor cells in peripheral blood. Crit Rev Clin Lab Sci 42(2):155–196CrossRefPubMed Zieglschmid V, Hollmann C, Bocher O (2005) Detection of disseminated tumor cells in peripheral blood. Crit Rev Clin Lab Sci 42(2):155–196CrossRefPubMed
12.
go back to reference Kumar S, Mohan A, Guleria R (2006) Biomarkers in cancer screening, research and detection: present and future: a review. Biomarkers 11(5):385–405CrossRefPubMed Kumar S, Mohan A, Guleria R (2006) Biomarkers in cancer screening, research and detection: present and future: a review. Biomarkers 11(5):385–405CrossRefPubMed
13.
go back to reference Alaiya A, Al-Mohanna M, Linder S (2005) Clinical cancer proteomics: promises and pitfalls. J Proteome Res 4(4):1213–1222CrossRefPubMed Alaiya A, Al-Mohanna M, Linder S (2005) Clinical cancer proteomics: promises and pitfalls. J Proteome Res 4(4):1213–1222CrossRefPubMed
14.
go back to reference Cho WC, Cheng CH (2007) Oncoproteomics: current trends and future perspectives. Expert Rev Proteomics 4(3):401–410CrossRefPubMed Cho WC, Cheng CH (2007) Oncoproteomics: current trends and future perspectives. Expert Rev Proteomics 4(3):401–410CrossRefPubMed
15.
go back to reference Ciordia S, de Los Rios V, Albar JP (2006) Contributions of advanced proteomics technologies to cancer diagnosis. Clin Transl Oncol 8(8):566–580CrossRefPubMed Ciordia S, de Los Rios V, Albar JP (2006) Contributions of advanced proteomics technologies to cancer diagnosis. Clin Transl Oncol 8(8):566–580CrossRefPubMed
16.
go back to reference Hanash SM, Pitteri SJ, Faca VM (2008) Mining the plasma proteome for cancer biomarkers. Nature 452(7187):571–579CrossRefPubMed Hanash SM, Pitteri SJ, Faca VM (2008) Mining the plasma proteome for cancer biomarkers. Nature 452(7187):571–579CrossRefPubMed
17.
go back to reference Mani SA et al (2008) The epithelial-mesenchymal transition generates cells with properties of stem cells. Cell 133(4):704–715CrossRefPubMed Mani SA et al (2008) The epithelial-mesenchymal transition generates cells with properties of stem cells. Cell 133(4):704–715CrossRefPubMed
18.
go back to reference Pankova K et al (2010) The molecular mechanisms of transition between mesenchymal and amoeboid invasiveness in tumor cells. Cell Mol Life Sci 67(1):63–71CrossRefPubMed Pankova K et al (2010) The molecular mechanisms of transition between mesenchymal and amoeboid invasiveness in tumor cells. Cell Mol Life Sci 67(1):63–71CrossRefPubMed
19.
go back to reference Steeg PS (2006) Tumor metastasis: mechanistic insights and clinical challenges. Nat Med 12(8):895–904CrossRefPubMed Steeg PS (2006) Tumor metastasis: mechanistic insights and clinical challenges. Nat Med 12(8):895–904CrossRefPubMed
20.
go back to reference Paterlini-Brechot P, Benali NL (2007) Circulating tumor cells (CTC) detection: clinical impact and future directions. Cancer Lett 253(2):180–204CrossRefPubMed Paterlini-Brechot P, Benali NL (2007) Circulating tumor cells (CTC) detection: clinical impact and future directions. Cancer Lett 253(2):180–204CrossRefPubMed
21.
go back to reference Steiniger SC et al (2008) Quantitative mass spectrometry identifies drug targets in cancer stem cell-containing side population. Stem Cells 26(12):3037–3046CrossRefPubMed Steiniger SC et al (2008) Quantitative mass spectrometry identifies drug targets in cancer stem cell-containing side population. Stem Cells 26(12):3037–3046CrossRefPubMed
22.
go back to reference Rosen JM, Jordan CT (2009) The increasing complexity of the cancer stem cell paradigm. Science 324(5935):1670–1673CrossRefPubMed Rosen JM, Jordan CT (2009) The increasing complexity of the cancer stem cell paradigm. Science 324(5935):1670–1673CrossRefPubMed
23.
go back to reference Sullivan JP, Minna JD, Shay JW (2010) Evidence for self-renewing lung cancer stem cells and their implications in tumor initiation, progression, and targeted therapy. Cancer Metastasis Rev 29(1):61–72CrossRefPubMed Sullivan JP, Minna JD, Shay JW (2010) Evidence for self-renewing lung cancer stem cells and their implications in tumor initiation, progression, and targeted therapy. Cancer Metastasis Rev 29(1):61–72CrossRefPubMed
24.
go back to reference Lu J et al (2010) Isolation of circulating epithelial and tumor progenitor cells with an invasive phenotype from breast cancer patients. Int J Cancer 126(3):669–683CrossRefPubMed Lu J et al (2010) Isolation of circulating epithelial and tumor progenitor cells with an invasive phenotype from breast cancer patients. Int J Cancer 126(3):669–683CrossRefPubMed
25.
go back to reference Faca V, Krasnoselsky A, Hanash S (2007) Innovative proteomic approaches for cancer biomarker discovery. Biotechniques 43(3):279, 281–283, 285 Faca V, Krasnoselsky A, Hanash S (2007) Innovative proteomic approaches for cancer biomarker discovery. Biotechniques 43(3):279, 281–283, 285
26.
go back to reference Petricoin E et al (2004) Clinical proteomics: revolutionizing disease detection and patient tailoring therapy. J Proteome Res 3(2):209–217CrossRefPubMed Petricoin E et al (2004) Clinical proteomics: revolutionizing disease detection and patient tailoring therapy. J Proteome Res 3(2):209–217CrossRefPubMed
27.
go back to reference Pepe MS et al (2001) Phases of biomarker development for early detection of cancer. J Natl Cancer Inst 93(14):1054–1061CrossRefPubMed Pepe MS et al (2001) Phases of biomarker development for early detection of cancer. J Natl Cancer Inst 93(14):1054–1061CrossRefPubMed
28.
go back to reference National Comprehensive Cancer Network I (2007) NCCN clinical practice guidelines in oncology: prostate cancer v.1.2007 National Comprehensive Cancer Network I (2007) NCCN clinical practice guidelines in oncology: prostate cancer v.1.2007
30.
go back to reference Lu M et al (2007) Proteomics and mass spectrometry for cancer biomarker discovery. Biomark Insights 2:347–360PubMed Lu M et al (2007) Proteomics and mass spectrometry for cancer biomarker discovery. Biomark Insights 2:347–360PubMed
31.
go back to reference Mischak H et al (2009) Capillary electrophoresis-mass spectrometry as a powerful tool in biomarker discovery and clinical diagnosis: an update of recent developments. Mass Spectrom Rev 28(5):703–724CrossRefPubMed Mischak H et al (2009) Capillary electrophoresis-mass spectrometry as a powerful tool in biomarker discovery and clinical diagnosis: an update of recent developments. Mass Spectrom Rev 28(5):703–724CrossRefPubMed
32.
go back to reference Van Eyk JE, Dunn MJ (2008) Clinical proteomics: from diagnosis to therapy. Wiley-VCH, Weinheim Van Eyk JE, Dunn MJ (2008) Clinical proteomics: from diagnosis to therapy. Wiley-VCH, Weinheim
33.
go back to reference Liotta LA, Petricoin EF (2006) Serum peptidome for cancer detection: spinning biologic trash into diagnostic gold. J Clin Invest 116(1):26–30CrossRefPubMed Liotta LA, Petricoin EF (2006) Serum peptidome for cancer detection: spinning biologic trash into diagnostic gold. J Clin Invest 116(1):26–30CrossRefPubMed
34.
go back to reference Omenn GS et al (2005) Overview of the HUPO Plasma Proteome Project: results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly-available database. Proteomics 5(13):3226–3245CrossRefPubMed Omenn GS et al (2005) Overview of the HUPO Plasma Proteome Project: results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly-available database. Proteomics 5(13):3226–3245CrossRefPubMed
35.
go back to reference de la Grange P et al (2010) Splicing factor and exon profiling across human tissues. Nucleic Acids Res 38(9):2825–2838CrossRefPubMed de la Grange P et al (2010) Splicing factor and exon profiling across human tissues. Nucleic Acids Res 38(9):2825–2838CrossRefPubMed
36.
go back to reference Dutertre M et al (2010) Exon-based clustering of murine breast tumor transcriptomes reveals alternative exons whose expression is associated with metastasis. Cancer Res 70(3):896–905CrossRefPubMed Dutertre M et al (2010) Exon-based clustering of murine breast tumor transcriptomes reveals alternative exons whose expression is associated with metastasis. Cancer Res 70(3):896–905CrossRefPubMed
38.
go back to reference Warder SE et al (2009) Reducing agent-mediated precipitation of high-abundance plasma proteins. Anal Biochem 387(2):184–193CrossRefPubMed Warder SE et al (2009) Reducing agent-mediated precipitation of high-abundance plasma proteins. Anal Biochem 387(2):184–193CrossRefPubMed
39.
go back to reference Fang X, Zhang WW (2008) Affinity separation and enrichment methods in proteomic analysis. J Proteomics 71(3):284–303CrossRefPubMed Fang X, Zhang WW (2008) Affinity separation and enrichment methods in proteomic analysis. J Proteomics 71(3):284–303CrossRefPubMed
40.
go back to reference Polaskova V et al (2010) High-abundance protein depletion: comparison of methods for human plasma biomarker discovery. Electrophoresis 31(3):471–482CrossRefPubMed Polaskova V et al (2010) High-abundance protein depletion: comparison of methods for human plasma biomarker discovery. Electrophoresis 31(3):471–482CrossRefPubMed
41.
go back to reference Luchini A et al (2010) Nanoparticle technology: addressing the fundamental roadblocks to protein biomarker discovery. Curr Mol Med 10(2):133–141CrossRefPubMed Luchini A et al (2010) Nanoparticle technology: addressing the fundamental roadblocks to protein biomarker discovery. Curr Mol Med 10(2):133–141CrossRefPubMed
42.
go back to reference Hortin GL (2006) The MALDI-TOF mass spectrometric view of the plasma proteome and peptidome. Clin Chem 52(7):1223–1237CrossRefPubMed Hortin GL (2006) The MALDI-TOF mass spectrometric view of the plasma proteome and peptidome. Clin Chem 52(7):1223–1237CrossRefPubMed
43.
go back to reference Lai X et al (2009) A proteomic workflow for discovery of serum carrier protein-bound biomarker candidates of alcohol abuse using LC-MS/MS. Electrophoresis 30(12):2207–2214CrossRefPubMed Lai X et al (2009) A proteomic workflow for discovery of serum carrier protein-bound biomarker candidates of alcohol abuse using LC-MS/MS. Electrophoresis 30(12):2207–2214CrossRefPubMed
44.
go back to reference Lopez MF et al (2005) High-resolution serum proteomic profiling of Alzheimer disease samples reveals disease-specific, carrier-protein-bound mass signatures. Clin Chem 51(10):1946–1954CrossRefPubMed Lopez MF et al (2005) High-resolution serum proteomic profiling of Alzheimer disease samples reveals disease-specific, carrier-protein-bound mass signatures. Clin Chem 51(10):1946–1954CrossRefPubMed
45.
go back to reference Lowenthal MS et al (2005) Analysis of albumin-associated peptides and proteins from ovarian cancer patients. Clin Chem 51(10):1933–1945CrossRefPubMed Lowenthal MS et al (2005) Analysis of albumin-associated peptides and proteins from ovarian cancer patients. Clin Chem 51(10):1933–1945CrossRefPubMed
46.
go back to reference Fredolini C et al (2009) Nanoparticle technology: amplifying the effective sensitivity of biomarker detection to create a urine test for hGH. Drug Test Anal 1(9–10):447–454CrossRefPubMed Fredolini C et al (2009) Nanoparticle technology: amplifying the effective sensitivity of biomarker detection to create a urine test for hGH. Drug Test Anal 1(9–10):447–454CrossRefPubMed
47.
go back to reference Longo C et al (2009) Core-shell hydrogel particles harvest, concentrate and preserve labile low abundance biomarkers. PLoS One 4(3):e4763CrossRefPubMed Longo C et al (2009) Core-shell hydrogel particles harvest, concentrate and preserve labile low abundance biomarkers. PLoS One 4(3):e4763CrossRefPubMed
48.
go back to reference Luchini A et al (2008) Smart hydrogel particles: biomarker harvesting: one-step affinity purification, size exclusion, and protection against degradation. Nano Lett 8(1):350–361CrossRefPubMed Luchini A et al (2008) Smart hydrogel particles: biomarker harvesting: one-step affinity purification, size exclusion, and protection against degradation. Nano Lett 8(1):350–361CrossRefPubMed
49.
go back to reference Kolch W, Mischak H, Pitt AR (2005) The molecular make-up of a tumour: proteomics in cancer research. Clin Sci 108(5):369–383CrossRefPubMed Kolch W, Mischak H, Pitt AR (2005) The molecular make-up of a tumour: proteomics in cancer research. Clin Sci 108(5):369–383CrossRefPubMed
50.
go back to reference Everley PA, Zetter BR (2005) Proteomics in tumor progression and metastasis. Ann N Y Acad Sci 1059:1–10CrossRefPubMed Everley PA, Zetter BR (2005) Proteomics in tumor progression and metastasis. Ann N Y Acad Sci 1059:1–10CrossRefPubMed
51.
52.
go back to reference O’Farrell PH (1975) High resolution two-dimensional electrophoresis of proteins. J Biol Chem 250(10):4007–4021PubMed O’Farrell PH (1975) High resolution two-dimensional electrophoresis of proteins. J Biol Chem 250(10):4007–4021PubMed
53.
go back to reference Kleparnik K, Bocek P (2010) Electrophoresis today and tomorrow: helping biologists’ dreams come true. Bioessays 32(3):218–226CrossRefPubMed Kleparnik K, Bocek P (2010) Electrophoresis today and tomorrow: helping biologists’ dreams come true. Bioessays 32(3):218–226CrossRefPubMed
54.
go back to reference Gorg A, Weiss W, Dunn MJ (2004) Current two-dimensional electrophoresis technology for proteomics. Proteomics 4(12):3665–3685CrossRefPubMed Gorg A, Weiss W, Dunn MJ (2004) Current two-dimensional electrophoresis technology for proteomics. Proteomics 4(12):3665–3685CrossRefPubMed
55.
go back to reference Martin B et al (2008) Biological pathways contributing to organ-specific phenotype of brain metastatic cells. J Proteome Res 7(3):908–920CrossRefPubMed Martin B et al (2008) Biological pathways contributing to organ-specific phenotype of brain metastatic cells. J Proteome Res 7(3):908–920CrossRefPubMed
56.
go back to reference Hatakeyama H et al (2006) Protein clusters associated with carcinogenesis, histological differentiation and nodal metastasis in esophageal cancer. Proteomics 6(23):6300–6316CrossRefPubMed Hatakeyama H et al (2006) Protein clusters associated with carcinogenesis, histological differentiation and nodal metastasis in esophageal cancer. Proteomics 6(23):6300–6316CrossRefPubMed
57.
go back to reference Han X, Aslanian A, Yates JR III (2008) Mass spectrometry for proteomics. Curr Opin Chem Biol 12(5):483–490CrossRefPubMed Han X, Aslanian A, Yates JR III (2008) Mass spectrometry for proteomics. Curr Opin Chem Biol 12(5):483–490CrossRefPubMed
58.
go back to reference Pan S et al (2009) Mass spectrometry based targeted protein quantification: methods and applications. J Proteome Res 8(2):787–797CrossRefPubMed Pan S et al (2009) Mass spectrometry based targeted protein quantification: methods and applications. J Proteome Res 8(2):787–797CrossRefPubMed
59.
go back to reference McAlister GC et al (2010) Analysis of tandem mass spectra by FTMS for improved large-scale proteomics with superior protein quantification. Anal Chem 82(1):316–322CrossRefPubMed McAlister GC et al (2010) Analysis of tandem mass spectra by FTMS for improved large-scale proteomics with superior protein quantification. Anal Chem 82(1):316–322CrossRefPubMed
60.
go back to reference Kicman AT, Parkin MC, Iles RK (2007) An introduction to mass spectrometry based proteomics-detection and characterization of gonadotropins and related molecules. Mol Cell Endocrinol 260–262:212–227CrossRefPubMed Kicman AT, Parkin MC, Iles RK (2007) An introduction to mass spectrometry based proteomics-detection and characterization of gonadotropins and related molecules. Mol Cell Endocrinol 260–262:212–227CrossRefPubMed
61.
go back to reference Wei J et al (2008) Overexpression of vimentin contributes to prostate cancer invasion and metastasis via src regulation. Anticancer Res 28(1A):327–334PubMed Wei J et al (2008) Overexpression of vimentin contributes to prostate cancer invasion and metastasis via src regulation. Anticancer Res 28(1A):327–334PubMed
62.
go back to reference Liao CC et al (2010) Analysis of post-operative changes in serum protein expression profiles from colorectal cancer patients by MALDI-TOF mass spectrometry: a pilot methodological study. World J Surg Oncol 8:33CrossRefPubMed Liao CC et al (2010) Analysis of post-operative changes in serum protein expression profiles from colorectal cancer patients by MALDI-TOF mass spectrometry: a pilot methodological study. World J Surg Oncol 8:33CrossRefPubMed
63.
go back to reference Schwartz SA et al (2005) Proteomic-based prognosis of brain tumor patients using direct-tissue matrix-assisted laser desorption ionization mass spectrometry. Cancer Res 65(17):7674–7681PubMed Schwartz SA et al (2005) Proteomic-based prognosis of brain tumor patients using direct-tissue matrix-assisted laser desorption ionization mass spectrometry. Cancer Res 65(17):7674–7681PubMed
64.
go back to reference Vydra J et al (2008) Two-dimensional electrophoretic comparison of metastatic and non-metastatic human breast tumors using in vitro cultured epithelial cells derived from the cancer tissues. BMC Cancer 8:107CrossRefPubMed Vydra J et al (2008) Two-dimensional electrophoretic comparison of metastatic and non-metastatic human breast tumors using in vitro cultured epithelial cells derived from the cancer tissues. BMC Cancer 8:107CrossRefPubMed
65.
go back to reference De Bock M et al (2010) Challenges for biomarker discovery in body fluids using SELDI-TOF-MS. J Biomed Biotechnol 2010:906082PubMed De Bock M et al (2010) Challenges for biomarker discovery in body fluids using SELDI-TOF-MS. J Biomed Biotechnol 2010:906082PubMed
66.
go back to reference Wang Q et al (2009) Limitations in SELDI-TOF MS whole serum proteomic profiling with IMAC surface to specifically detect colorectal cancer. BMC Cancer 9:287CrossRefPubMed Wang Q et al (2009) Limitations in SELDI-TOF MS whole serum proteomic profiling with IMAC surface to specifically detect colorectal cancer. BMC Cancer 9:287CrossRefPubMed
67.
go back to reference Smith FM et al (2007) Combination of SELDI-TOF-MS and data mining provides early-stage response prediction for rectal tumors undergoing multimodal neoadjuvant therapy. Ann Surg 245(2):259–266CrossRefPubMed Smith FM et al (2007) Combination of SELDI-TOF-MS and data mining provides early-stage response prediction for rectal tumors undergoing multimodal neoadjuvant therapy. Ann Surg 245(2):259–266CrossRefPubMed
68.
go back to reference Qiu FM et al (2009) Mining novel biomarkers for prognosis of gastric cancer with serum proteomics. J Exp Clin Cancer Res 28:126CrossRefPubMed Qiu FM et al (2009) Mining novel biomarkers for prognosis of gastric cancer with serum proteomics. J Exp Clin Cancer Res 28:126CrossRefPubMed
69.
go back to reference Asara JM et al (2008) A label-free quantification method by MS/MS TIC compared to SILAC and spectral counting in a proteomics screen. Proteomics 8(5):994–999CrossRefPubMed Asara JM et al (2008) A label-free quantification method by MS/MS TIC compared to SILAC and spectral counting in a proteomics screen. Proteomics 8(5):994–999CrossRefPubMed
70.
go back to reference Faca VM et al (2008) Proteomic analysis of ovarian cancer cells reveals dynamic processes of protein secretion and shedding of extra-cellular domains. PLoS One 3(6):e2425CrossRefPubMed Faca VM et al (2008) Proteomic analysis of ovarian cancer cells reveals dynamic processes of protein secretion and shedding of extra-cellular domains. PLoS One 3(6):e2425CrossRefPubMed
71.
go back to reference Zhang DY et al (2009) Proteomics, pathway array and signaling network-based medicine in cancer. Cell Div 4:20CrossRefPubMed Zhang DY et al (2009) Proteomics, pathway array and signaling network-based medicine in cancer. Cell Div 4:20CrossRefPubMed
72.
go back to reference Bertone P, Snyder M (2005) Advances in functional protein microarray technology. FEBS J 272(21):5400–5411CrossRefPubMed Bertone P, Snyder M (2005) Advances in functional protein microarray technology. FEBS J 272(21):5400–5411CrossRefPubMed
73.
go back to reference Harmsen MM, De Haard HJ (2007) Properties, production, and applications of camelid single-domain antibody fragments. Appl Microbiol Biotechnol 77(1):13–22CrossRefPubMed Harmsen MM, De Haard HJ (2007) Properties, production, and applications of camelid single-domain antibody fragments. Appl Microbiol Biotechnol 77(1):13–22CrossRefPubMed
74.
go back to reference Kastelic D et al (2009) A single-step procedure of recombinant library construction for the selection of efficiently produced llama VH binders directed against cancer markers. J Immunol Methods 350(1–2):54–62CrossRefPubMed Kastelic D et al (2009) A single-step procedure of recombinant library construction for the selection of efficiently produced llama VH binders directed against cancer markers. J Immunol Methods 350(1–2):54–62CrossRefPubMed
75.
76.
go back to reference Osterfeld SJ et al (2008) Multiplex protein assays based on real-time magnetic nanotag sensing. Proc Natl Acad Sci USA 105(52):20637–20640CrossRefPubMed Osterfeld SJ et al (2008) Multiplex protein assays based on real-time magnetic nanotag sensing. Proc Natl Acad Sci USA 105(52):20637–20640CrossRefPubMed
77.
go back to reference Fei YY et al (2008) A novel high-throughput scanning microscope for label-free detection of protein and small-molecule chemical microarrays. Rev Sci Instrum 79(1):013708CrossRefPubMed Fei YY et al (2008) A novel high-throughput scanning microscope for label-free detection of protein and small-molecule chemical microarrays. Rev Sci Instrum 79(1):013708CrossRefPubMed
78.
go back to reference Grubb RL et al (2009) Pathway biomarker profiling of localized and metastatic human prostate cancer reveal metastatic and prognostic signatures. J Proteome Res 8(6):3044–3054CrossRefPubMed Grubb RL et al (2009) Pathway biomarker profiling of localized and metastatic human prostate cancer reveal metastatic and prognostic signatures. J Proteome Res 8(6):3044–3054CrossRefPubMed
79.
go back to reference Tahara H et al (2009) Emerging concepts in biomarker discovery; the US–Japan workshop on immunological molecular markers in oncology. J Transl Med 7:45CrossRefPubMed Tahara H et al (2009) Emerging concepts in biomarker discovery; the US–Japan workshop on immunological molecular markers in oncology. J Transl Med 7:45CrossRefPubMed
80.
go back to reference Gulmann C et al (2009) Quantitative cell signalling analysis reveals down-regulation of MAPK pathway activation in colorectal cancer. J Pathol 218(4):514–519CrossRefPubMed Gulmann C et al (2009) Quantitative cell signalling analysis reveals down-regulation of MAPK pathway activation in colorectal cancer. J Pathol 218(4):514–519CrossRefPubMed
81.
go back to reference Wulfkuhle JD et al (2008) Multiplexed cell signaling analysis of human breast cancer applications for personalized therapy. J Proteome Res 7(4):1508–1517CrossRefPubMed Wulfkuhle JD et al (2008) Multiplexed cell signaling analysis of human breast cancer applications for personalized therapy. J Proteome Res 7(4):1508–1517CrossRefPubMed
82.
go back to reference He M, Taussig MJ (2001) Single step generation of protein arrays from DNA by cell-free expression and in situ immobilisation (PISA method). Nucleic Acids Res 29(15):E73CrossRefPubMed He M, Taussig MJ (2001) Single step generation of protein arrays from DNA by cell-free expression and in situ immobilisation (PISA method). Nucleic Acids Res 29(15):E73CrossRefPubMed
83.
go back to reference He M, Taussig MJ (2008) Production of protein arrays by cell-free systems. Methods Mol Biol 484:207–215CrossRefPubMed He M, Taussig MJ (2008) Production of protein arrays by cell-free systems. Methods Mol Biol 484:207–215CrossRefPubMed
84.
go back to reference Sanchez-Carbayo M (2010) Antibody array-based technologies for cancer protein profiling and functional proteomic analyses using serum and tissue specimens. Tumour Biol 31(2):103–112CrossRefPubMed Sanchez-Carbayo M (2010) Antibody array-based technologies for cancer protein profiling and functional proteomic analyses using serum and tissue specimens. Tumour Biol 31(2):103–112CrossRefPubMed
85.
go back to reference Wulfkuhle JD et al (2003) Signal pathway profiling of ovarian cancer from human tissue specimens using reverse-phase protein microarrays. Proteomics 3(11):2085–2090CrossRefPubMed Wulfkuhle JD et al (2003) Signal pathway profiling of ovarian cancer from human tissue specimens using reverse-phase protein microarrays. Proteomics 3(11):2085–2090CrossRefPubMed
86.
go back to reference Nettikadan S et al (2006) Detection and quantification of protein biomarkers from fewer than 10 cells. Mol Cell Proteomics 5(5):895–901CrossRefPubMed Nettikadan S et al (2006) Detection and quantification of protein biomarkers from fewer than 10 cells. Mol Cell Proteomics 5(5):895–901CrossRefPubMed
87.
go back to reference Song S et al (2007) A cancer protein microarray platform using antibody fragments and its clinical applications. Mol Biosyst 3(2):151–158CrossRefPubMed Song S et al (2007) A cancer protein microarray platform using antibody fragments and its clinical applications. Mol Biosyst 3(2):151–158CrossRefPubMed
88.
go back to reference Palagi PM et al (2006) Proteome informatics I: bioinformatics tools for processing experimental data. Proteomics 6(20):5435–5444CrossRefPubMed Palagi PM et al (2006) Proteome informatics I: bioinformatics tools for processing experimental data. Proteomics 6(20):5435–5444CrossRefPubMed
89.
go back to reference Blueggel M, Chamrad D, Meyer HE (2004) Bioinformatics in proteomics. Curr Pharm Biotechnol 5(1):79–88CrossRefPubMed Blueggel M, Chamrad D, Meyer HE (2004) Bioinformatics in proteomics. Curr Pharm Biotechnol 5(1):79–88CrossRefPubMed
90.
go back to reference Tan NC et al (2009) Application of multiple statistical tests to enhance mass spectrometry-based biomarker discovery. BMC Bioinformatics 10:144CrossRefPubMed Tan NC et al (2009) Application of multiple statistical tests to enhance mass spectrometry-based biomarker discovery. BMC Bioinformatics 10:144CrossRefPubMed
91.
go back to reference Wang Y, Hanley R, Klemke RL (2006) Computational methods for comparison of large genomic and proteomic datasets reveal protein markers of metastatic cancer. J Proteome Res 5(4):907–915CrossRefPubMed Wang Y, Hanley R, Klemke RL (2006) Computational methods for comparison of large genomic and proteomic datasets reveal protein markers of metastatic cancer. J Proteome Res 5(4):907–915CrossRefPubMed
92.
go back to reference Beretta L (2007) Proteomics from the clinical perspective: many hopes and much debate. Nat Methods 4(10):785–786CrossRefPubMed Beretta L (2007) Proteomics from the clinical perspective: many hopes and much debate. Nat Methods 4(10):785–786CrossRefPubMed
93.
go back to reference Espina V et al (2008) A portrait of tissue phosphoprotein stability in the clinical tissue procurement process. Mol Cell Proteomics 7(10):1998–2018CrossRefPubMed Espina V et al (2008) A portrait of tissue phosphoprotein stability in the clinical tissue procurement process. Mol Cell Proteomics 7(10):1998–2018CrossRefPubMed
Metadata
Title
Proteomic strategies and challenges in tumor metastasis research
Authors
Petra Hudler
Masa Gorsic
Radovan Komel
Publication date
01-08-2010
Publisher
Springer Netherlands
Published in
Clinical & Experimental Metastasis / Issue 6/2010
Print ISSN: 0262-0898
Electronic ISSN: 1573-7276
DOI
https://doi.org/10.1007/s10585-010-9339-7

Other articles of this Issue 6/2010

Clinical & Experimental Metastasis 6/2010 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine