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Published in: Journal of Cancer Research and Clinical Oncology 6/2011

01-06-2011 | Review

Breast cancer proteomics: a review for clinicians

Authors: E. R. C. G. N. Galvão, L. M. S. Martins, J. O. Ibiapina, H. M. Andrade, S. J. H. Monte

Published in: Journal of Cancer Research and Clinical Oncology | Issue 6/2011

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Abstract

Purpose

Breast cancer is one of the major health problems of the Western world. Although the survival rate has improved with progress in screening and adjuvant systemic therapies, one-third of the patients with initial breast tumor have recurrence of the disease 10 years after the diagnosis, demonstrating the presence of micrometastasis. The underlying molecular mechanism of the disease needs to be better understood. Allied to genomics, proteomics technologies promise to be valuable for identifying new markers that improve screening, early diagnosis, prognosis and prediction of therapeutic response or toxicity, as well as the identification of new therapeutic targets. In this review, we present features of proteomic technology and its main implications, focusing on the protein profile in tumor tissues/cells through MALDI/SELDI, as well as on the current proteomic challenges in the breast cancer study.

Methods

We performed a research of protein profiling studies using mass spectrometry in breast cancer to identify potential biomarkers.

Results

Many protein peaks have been reported to bear significant diagnostic, prognostic or predictive value; however, the candidate biomarkers have not been validated for use in clinical patient care.

Conclusions

Proteomics is under development and, despite technical barriers that precede the use of proteomics analysis in clinical practice and breast cancer complexity, MALDI-TOF/SELDI-TOF MS proteomic platforms with their innovations are powerful analytical tools for the detection of better protein biomarkers, since the studies are conducted with adequate statistical power and analytical rigor. In the near future, they will be able to fulfill their role in personalized medicine.
Literature
go back to reference Abramovitz M, Leyland-Jones B (2006) A systems approach to clinical oncology: focus on breast cancer. Proteome Sci 4:5PubMedCrossRef Abramovitz M, Leyland-Jones B (2006) A systems approach to clinical oncology: focus on breast cancer. Proteome Sci 4:5PubMedCrossRef
go back to reference Aggarwal K, Choe LH, Lee KH (2006) Shotgun proteomics using the iTRAQ isobaric tags. Brief Funct Genomic Proteomic 5:112–120PubMedCrossRef Aggarwal K, Choe LH, Lee KH (2006) Shotgun proteomics using the iTRAQ isobaric tags. Brief Funct Genomic Proteomic 5:112–120PubMedCrossRef
go back to reference Andersson T, Johansson M, Bolmsjo G, James P (2007) Automating MALDI sample plate loading. J Proteome Res 6:894–896PubMedCrossRef Andersson T, Johansson M, Bolmsjo G, James P (2007) Automating MALDI sample plate loading. J Proteome Res 6:894–896PubMedCrossRef
go back to reference Barazi HO, Zhou L, Templeton NS, Krutzsch HC, Roberts DD (2002) Identification of heat shock protein 60 as a molecular mediator of alpha 3 beta 1 integrin activation. Cancer Res 62:1541–1548PubMed Barazi HO, Zhou L, Templeton NS, Krutzsch HC, Roberts DD (2002) Identification of heat shock protein 60 as a molecular mediator of alpha 3 beta 1 integrin activation. Cancer Res 62:1541–1548PubMed
go back to reference Bergman AC, Benjamin T, Alaiya A et al (2000) Identification of gel-separated tumor marker proteins by mass spectrometry. Electrophoresis 21:679–686PubMedCrossRef Bergman AC, Benjamin T, Alaiya A et al (2000) Identification of gel-separated tumor marker proteins by mass spectrometry. Electrophoresis 21:679–686PubMedCrossRef
go back to reference Bertucci F, Goncalves A (2008) Clinical proteomics and breast cancer: strategies for diagnostic and therapeutic biomarker discovery. Future Oncol 4:271–287PubMedCrossRef Bertucci F, Goncalves A (2008) Clinical proteomics and breast cancer: strategies for diagnostic and therapeutic biomarker discovery. Future Oncol 4:271–287PubMedCrossRef
go back to reference Bertucci F, Birnbaum D, Goncalves A (2006) Proteomics of breast cancer: principles and potential clinical applications. Mol Cell Proteomics 5:1772–1786PubMedCrossRef Bertucci F, Birnbaum D, Goncalves A (2006) Proteomics of breast cancer: principles and potential clinical applications. Mol Cell Proteomics 5:1772–1786PubMedCrossRef
go back to reference Bouchal P, Roumeliotis T, Hrstka R, Nenutil R, Vojtesek B, Garbis SD (2009) Biomarker discovery in low-grade breast cancer using isobaric stable isotope tags and two-dimensional liquid chromatography-tandem mass spectrometry (iTRAQ-2DLC-MS/MS) based quantitative proteomic analysis. J Proteome Res 8:362–373PubMedCrossRef Bouchal P, Roumeliotis T, Hrstka R, Nenutil R, Vojtesek B, Garbis SD (2009) Biomarker discovery in low-grade breast cancer using isobaric stable isotope tags and two-dimensional liquid chromatography-tandem mass spectrometry (iTRAQ-2DLC-MS/MS) based quantitative proteomic analysis. J Proteome Res 8:362–373PubMedCrossRef
go back to reference Brozkova K, Budinska E, Bouchal P et al (2008) Surface-enhanced laser desorption/ionization time-of-flight proteomic profiling of breast carcinomas identifies clinicopathologically relevant groups of patients similar to previously defined clusters from cDNA expression. Breast Cancer Res 10:R48PubMed Brozkova K, Budinska E, Bouchal P et al (2008) Surface-enhanced laser desorption/ionization time-of-flight proteomic profiling of breast carcinomas identifies clinicopathologically relevant groups of patients similar to previously defined clusters from cDNA expression. Breast Cancer Res 10:R48PubMed
go back to reference Callesen AK, Vach W, Jorgensen PE et al (2008) Reproducibility of mass spectrometry based protein profiles for diagnosis of breast cancer across clinical studies: a systematic review. J Proteome Res 7:1395–1402PubMedCrossRef Callesen AK, Vach W, Jorgensen PE et al (2008) Reproducibility of mass spectrometry based protein profiles for diagnosis of breast cancer across clinical studies: a systematic review. J Proteome Res 7:1395–1402PubMedCrossRef
go back to reference Ciocca DR, Calderwood SK (2005) Heat shock proteins in cancer: diagnostic, prognostic, predictive, and treatment implications. Cell Stress Chaperones 10:86–103PubMedCrossRef Ciocca DR, Calderwood SK (2005) Heat shock proteins in cancer: diagnostic, prognostic, predictive, and treatment implications. Cell Stress Chaperones 10:86–103PubMedCrossRef
go back to reference Cornett DS, Mobley JA, Dias EC et al (2006) A novel histology-directed strategy for MALDI-MS tissue profiling that improves throughput and cellular specificity in human breast cancer. Mol Cell Proteomics 5:1975–1983PubMedCrossRef Cornett DS, Mobley JA, Dias EC et al (2006) A novel histology-directed strategy for MALDI-MS tissue profiling that improves throughput and cellular specificity in human breast cancer. Mol Cell Proteomics 5:1975–1983PubMedCrossRef
go back to reference Cowherd SM, Espina VA, Petricoin EF III, Liotta LA (2004) Proteomic analysis of human breast cancer tissue with laser-capture microdissection and reverse-phase protein microarrays. Clin Breast Cancer 5:385–392PubMedCrossRef Cowherd SM, Espina VA, Petricoin EF III, Liotta LA (2004) Proteomic analysis of human breast cancer tissue with laser-capture microdissection and reverse-phase protein microarrays. Clin Breast Cancer 5:385–392PubMedCrossRef
go back to reference Dean RA, Overall CM (2007) Proteomics discovery of metalloproteinase substrates in the cellular context by iTRAQ labeling reveals a diverse MMP-2 substrate degradome. Mol Cell Proteomics 6:611–623PubMedCrossRef Dean RA, Overall CM (2007) Proteomics discovery of metalloproteinase substrates in the cellular context by iTRAQ labeling reveals a diverse MMP-2 substrate degradome. Mol Cell Proteomics 6:611–623PubMedCrossRef
go back to reference Ferguson AT, Evron E, Umbricht CB et al (2000) High frequency of hypermethylation at the 14-3-3σ locus leads to gene silencing in breast cancer. Proc Natl Acad Sci USA 97:6049–6054PubMedCrossRef Ferguson AT, Evron E, Umbricht CB et al (2000) High frequency of hypermethylation at the 14-3-3σ locus leads to gene silencing in breast cancer. Proc Natl Acad Sci USA 97:6049–6054PubMedCrossRef
go back to reference Fu H, Subramanian RR, Masters SC (2000) 14-3-3 proteins: structure, function, and regulation. Annu Rev Pharmacol Toxicol 40:617–647PubMedCrossRef Fu H, Subramanian RR, Masters SC (2000) 14-3-3 proteins: structure, function, and regulation. Annu Rev Pharmacol Toxicol 40:617–647PubMedCrossRef
go back to reference Gast MC, Schellens JH, Beijnen JH (2009) Clinical proteomics in breast cancer: a review. Breast Cancer Res Treat 116:17–29PubMedCrossRef Gast MC, Schellens JH, Beijnen JH (2009) Clinical proteomics in breast cancer: a review. Breast Cancer Res Treat 116:17–29PubMedCrossRef
go back to reference Gilabert M, Audebert S, Viens P, Borg JP, Bertucci F, Goncalves A (2010) Proteomics and breast cancer: a search for novel diagnostic and theragnostic biomarkers. Bull Cancer 97:321–339PubMed Gilabert M, Audebert S, Viens P, Borg JP, Bertucci F, Goncalves A (2010) Proteomics and breast cancer: a search for novel diagnostic and theragnostic biomarkers. Bull Cancer 97:321–339PubMed
go back to reference Giometti CS, Tollaksen SL, Chubb C, Williams C, Huberman E (1995) Analysis of proteins from human breast epithelial cells using two-dimensional gel electrophoresis. Electrophoresis 16:1215–1224PubMedCrossRef Giometti CS, Tollaksen SL, Chubb C, Williams C, Huberman E (1995) Analysis of proteins from human breast epithelial cells using two-dimensional gel electrophoresis. Electrophoresis 16:1215–1224PubMedCrossRef
go back to reference Goncalves A, Charafe-Jauffret E, Bertucci F et al (2008) Protein profiling of human breast tumor cells identifies novel biomarkers associated with molecular subtypes. Mol Cell Proteomics 7:1420–1433PubMedCrossRef Goncalves A, Charafe-Jauffret E, Bertucci F et al (2008) Protein profiling of human breast tumor cells identifies novel biomarkers associated with molecular subtypes. Mol Cell Proteomics 7:1420–1433PubMedCrossRef
go back to reference Habermann JK, Roblick UJ, Luke BT et al (2006) Increased serum levels of complement C3a anaphylatoxin indicate the presence of colorectal tumors. Gastroenterology 131:1020–1029; quiz 284 Habermann JK, Roblick UJ, Luke BT et al (2006) Increased serum levels of complement C3a anaphylatoxin indicate the presence of colorectal tumors. Gastroenterology 131:1020–1029; quiz 284
go back to reference Hondermarck H (2003) Breast cancer: when proteomics challenges biological complexity. Mol Cell Proteomics 2:281–291PubMed Hondermarck H (2003) Breast cancer: when proteomics challenges biological complexity. Mol Cell Proteomics 2:281–291PubMed
go back to reference Hondermarck H, Vercoutter-Edouart AS, Revillion F et al (2001) Proteomics of breast cancer for marker discovery and signal pathway profiling. Proteomics 1:1216–1232PubMedCrossRef Hondermarck H, Vercoutter-Edouart AS, Revillion F et al (2001) Proteomics of breast cancer for marker discovery and signal pathway profiling. Proteomics 1:1216–1232PubMedCrossRef
go back to reference Hondermarck H, Tastet C, Yazidi-Belkoura El et al (2008) Proteomics of brest cancer: the quest for markers and therapeutic targets. J Proteome Res 7:1403–1411PubMedCrossRef Hondermarck H, Tastet C, Yazidi-Belkoura El et al (2008) Proteomics of brest cancer: the quest for markers and therapeutic targets. J Proteome Res 7:1403–1411PubMedCrossRef
go back to reference Hudelist G, Singer CF, Pischinger KI et al (2006) Proteomic analysis in human breast cancer: identification of a characteristic protein expression profile of malignant breast epithelium. Proteomics 6:1989–2002PubMedCrossRef Hudelist G, Singer CF, Pischinger KI et al (2006) Proteomic analysis in human breast cancer: identification of a characteristic protein expression profile of malignant breast epithelium. Proteomics 6:1989–2002PubMedCrossRef
go back to reference Kabbage M, Chahed K, Hamrita B et al (2008) Protein alterations in infiltrating ductal carcinomas of the breast as detected by nonequilibrium pH gradient electrophoresis and mass spectrometry. J Biomed Biotechnol 2008:564127PubMedCrossRef Kabbage M, Chahed K, Hamrita B et al (2008) Protein alterations in infiltrating ductal carcinomas of the breast as detected by nonequilibrium pH gradient electrophoresis and mass spectrometry. J Biomed Biotechnol 2008:564127PubMedCrossRef
go back to reference Kamradt MC, Chen F, Cryns VL (2001) The small heat shock protein alpha B-crystallin negatively regulates cytochrome c- and caspase-8-dependent activation of caspase-3 by inhibiting its autoproteolytic maturation. J Biol Chem 276:16059–16063PubMedCrossRef Kamradt MC, Chen F, Cryns VL (2001) The small heat shock protein alpha B-crystallin negatively regulates cytochrome c- and caspase-8-dependent activation of caspase-3 by inhibiting its autoproteolytic maturation. J Biol Chem 276:16059–16063PubMedCrossRef
go back to reference Kamradt MC, Lu M, Werner ME et al (2005) The small heat shock protein alpha B-crystallin is a novel inhibitor of TRAIL-induced apoptosis that suppresses the activation of caspase-3. J Biol Chem 280:11059–11066PubMedCrossRef Kamradt MC, Lu M, Werner ME et al (2005) The small heat shock protein alpha B-crystallin is a novel inhibitor of TRAIL-induced apoptosis that suppresses the activation of caspase-3. J Biol Chem 280:11059–11066PubMedCrossRef
go back to reference King MC, Marks JH, Mandell JB (2003) Breast and ovarian cancer risks due to inherited mutations in BRCA1 and BRCA2. Science 302:643–646PubMedCrossRef King MC, Marks JH, Mandell JB (2003) Breast and ovarian cancer risks due to inherited mutations in BRCA1 and BRCA2. Science 302:643–646PubMedCrossRef
go back to reference Leong S, Christopherson RI, Baxter RC (2007) Profiling of apoptotic changes in human breast cancer cells using SELDI-TOF mass spectrometry. Cell Physiol Biochem 20:579–590PubMedCrossRef Leong S, Christopherson RI, Baxter RC (2007) Profiling of apoptotic changes in human breast cancer cells using SELDI-TOF mass spectrometry. Cell Physiol Biochem 20:579–590PubMedCrossRef
go back to reference Li DQ, Wang L, Fei F, Hou YF et al (2006) Identification of breast cancer metastasis-associated proteins in an isogenic tumor metastasis model using two-dimensional gel electrophoresis and liquid chromatography-ion trap-mass spectrometry. Proteomics 6:3352–3368PubMedCrossRef Li DQ, Wang L, Fei F, Hou YF et al (2006) Identification of breast cancer metastasis-associated proteins in an isogenic tumor metastasis model using two-dimensional gel electrophoresis and liquid chromatography-ion trap-mass spectrometry. Proteomics 6:3352–3368PubMedCrossRef
go back to reference Liu Y, Liu H, Han B, Zhang JT (2006) Identification of 14-3-3sigma as contributor to drug resistance in human breast cancer cells using functional proteomic analysis. Cancer Res 66:3248–3255PubMedCrossRef Liu Y, Liu H, Han B, Zhang JT (2006) Identification of 14-3-3sigma as contributor to drug resistance in human breast cancer cells using functional proteomic analysis. Cancer Res 66:3248–3255PubMedCrossRef
go back to reference Martini PG, Delage-Mourroux R, Kraichely DM et al (2000) Prothymosin alpha selectively enhances estrogen receptor transcriptional activity by interacting with a repressor of estrogen receptor activity. Mol Cell Biol 20:6224–6232PubMedCrossRef Martini PG, Delage-Mourroux R, Kraichely DM et al (2000) Prothymosin alpha selectively enhances estrogen receptor transcriptional activity by interacting with a repressor of estrogen receptor activity. Mol Cell Biol 20:6224–6232PubMedCrossRef
go back to reference Mian S, Ball G, Hombuckle J et al (2003) A prototype methodology combining surface-enhanced laser desorption/ionization protein chip technology and artificial neural network algorithms to predict the chemoresponsiveness of breast cancer cell lines exposed to Paclitaxel and Doxorubicin under in vitro conditions. Proteomics 3:1725–1737PubMedCrossRef Mian S, Ball G, Hombuckle J et al (2003) A prototype methodology combining surface-enhanced laser desorption/ionization protein chip technology and artificial neural network algorithms to predict the chemoresponsiveness of breast cancer cell lines exposed to Paclitaxel and Doxorubicin under in vitro conditions. Proteomics 3:1725–1737PubMedCrossRef
go back to reference Miller I, Crawford J, Gianazza E (2006) Protein stains for proteomic applications: which, when, why? Proteomics 6:5385–5408PubMedCrossRef Miller I, Crawford J, Gianazza E (2006) Protein stains for proteomic applications: which, when, why? Proteomics 6:5385–5408PubMedCrossRef
go back to reference Mitrunen K, Hirvonen A (2003) Molecular epidemiology of sporadic breast cancer. The role of polymorphic genes involved in oestrogen biosynthesis and metabolism. Mutat Res 544:9–41PubMedCrossRef Mitrunen K, Hirvonen A (2003) Molecular epidemiology of sporadic breast cancer. The role of polymorphic genes involved in oestrogen biosynthesis and metabolism. Mutat Res 544:9–41PubMedCrossRef
go back to reference Moreira JM, Ohlsson G, Rank FE, Celis JE (2005) Down-regulation of the tumor suppressor protein 14-3-3sigma is a sporadic event in cancer of the breast. Mol Cell Proteomics 4:555–569PubMedCrossRef Moreira JM, Ohlsson G, Rank FE, Celis JE (2005) Down-regulation of the tumor suppressor protein 14-3-3sigma is a sporadic event in cancer of the breast. Mol Cell Proteomics 4:555–569PubMedCrossRef
go back to reference Moyano JV, Evans JR, Chen F et al (2006) Alpha B-crystallin is a novel oncoprotein that predicts poor clinical outcome in breast cancer. J Clin Invest 116:261–270PubMedCrossRef Moyano JV, Evans JR, Chen F et al (2006) Alpha B-crystallin is a novel oncoprotein that predicts poor clinical outcome in breast cancer. J Clin Invest 116:261–270PubMedCrossRef
go back to reference Nakagawa T, Huang SK, Martinez SR et al (2006) Proteomic profiling of primary breast cancer predicts axillary lymph node metastasis. Cancer Res 66:11825–11830PubMedCrossRef Nakagawa T, Huang SK, Martinez SR et al (2006) Proteomic profiling of primary breast cancer predicts axillary lymph node metastasis. Cancer Res 66:11825–11830PubMedCrossRef
go back to reference Nesvizhskii AI (2007) Protein identification by tandem mass spectrometry and sequence database searching. Methods Mol Biol 367:87–119PubMed Nesvizhskii AI (2007) Protein identification by tandem mass spectrometry and sequence database searching. Methods Mol Biol 367:87–119PubMed
go back to reference Nielsen UB, Cardone MH, Sinskey AJ, MacBeath G, Sorger PK (2003) Profiling receptor tyrosine kinase activation by using Ab microarrays. Proc Natl Acad Sci USA 100:9330–9335PubMedCrossRef Nielsen UB, Cardone MH, Sinskey AJ, MacBeath G, Sorger PK (2003) Profiling receptor tyrosine kinase activation by using Ab microarrays. Proc Natl Acad Sci USA 100:9330–9335PubMedCrossRef
go back to reference Page MJ, Amess B, Townsend RR et al (1999) Proteomic definition of normal human luminal and myoepithelial breast cells purified from reduction mammoplasties. Proc Natl Acad Sci USA 96:12589–12594PubMedCrossRef Page MJ, Amess B, Townsend RR et al (1999) Proteomic definition of normal human luminal and myoepithelial breast cells purified from reduction mammoplasties. Proc Natl Acad Sci USA 96:12589–12594PubMedCrossRef
go back to reference Parker JS, Mullins M, Cheang MC et al (2009) Supervised risk predictor of breast cancer based on intrinsic subtypes. J Clin Oncol 27:1160–1167PubMedCrossRef Parker JS, Mullins M, Cheang MC et al (2009) Supervised risk predictor of breast cancer based on intrinsic subtypes. J Clin Oncol 27:1160–1167PubMedCrossRef
go back to reference Patton WF (2002) Detection technologies in proteome analysis. J Chromatogr B Analyt Technol Biomed Life Sci 771:3–31PubMedCrossRef Patton WF (2002) Detection technologies in proteome analysis. J Chromatogr B Analyt Technol Biomed Life Sci 771:3–31PubMedCrossRef
go back to reference Peppercorn J, Perou CM, Carey LA (2008) Molecular subtypes in breast cancer evaluation and management: divide and conquer. Cancer Invest 26:1–10PubMedCrossRef Peppercorn J, Perou CM, Carey LA (2008) Molecular subtypes in breast cancer evaluation and management: divide and conquer. Cancer Invest 26:1–10PubMedCrossRef
go back to reference Perou CM, Sorlie T, Eisen MB et al (2000) Molecular portraits of human breast tumours. Nature 406:747–752PubMedCrossRef Perou CM, Sorlie T, Eisen MB et al (2000) Molecular portraits of human breast tumours. Nature 406:747–752PubMedCrossRef
go back to reference Pucci-Minafra I, Cancemi P, Marabeti MR et al (2007) Proteomic profiling of 13 paired ductal infiltrating breast carcinomas and non-tumoral adjacent counterparts. Proteomics Clin Appl 1:118–129PubMedCrossRef Pucci-Minafra I, Cancemi P, Marabeti MR et al (2007) Proteomic profiling of 13 paired ductal infiltrating breast carcinomas and non-tumoral adjacent counterparts. Proteomics Clin Appl 1:118–129PubMedCrossRef
go back to reference Reis-Filho JS, Lakhani SR (2003) The diagnosis and management of pre-invasive breast disease: genetic alterations in pre-invasive lesions. Breast Cancer Res 5:313–319PubMedCrossRef Reis-Filho JS, Lakhani SR (2003) The diagnosis and management of pre-invasive breast disease: genetic alterations in pre-invasive lesions. Breast Cancer Res 5:313–319PubMedCrossRef
go back to reference Reis-Filho JS, Tutt NA (2008) Triple negative tumours: a critical review. Histopathology 52:108–118PubMedCrossRef Reis-Filho JS, Tutt NA (2008) Triple negative tumours: a critical review. Histopathology 52:108–118PubMedCrossRef
go back to reference Ricolleau G, Charbonnel C, Lode L 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 6:1963–1975PubMedCrossRef Ricolleau G, Charbonnel C, Lode L 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 6:1963–1975PubMedCrossRef
go back to reference Rodenhiser D, Mann M (2006) Epigenetics and human disease: translating basic biology into clinical applications. CMAJ 174:341–348PubMed Rodenhiser D, Mann M (2006) Epigenetics and human disease: translating basic biology into clinical applications. CMAJ 174:341–348PubMed
go back to reference Sanders ME, Dias EC, Xu BJ et al (2008) Differentiating proteomic biomarkers in breast cancer by laser capture microdissection and MALDI MS. J Proteome Res 7:1500–1507PubMedCrossRef Sanders ME, Dias EC, Xu BJ et al (2008) Differentiating proteomic biomarkers in breast cancer by laser capture microdissection and MALDI MS. J Proteome Res 7:1500–1507PubMedCrossRef
go back to reference Schulz DM, Bollner C, Thomas G et al (2009) Identification of differentially expressed proteins in triple-negative breast carcinomas using DIGE and mass spectrometry. J Proteome Res 8:3430–3438PubMedCrossRef Schulz DM, Bollner C, Thomas G et al (2009) Identification of differentially expressed proteins in triple-negative breast carcinomas using DIGE and mass spectrometry. J Proteome Res 8:3430–3438PubMedCrossRef
go back to reference Sethuraman M, Clavreul N, Huang H, McComb ME, Costello CE, Cohen RA (2007) Quantification of oxidative posttranslational modifications of cysteine thiols of p21ras associated with redox modulation of activity using isotope-coded affinity tags and mass spectrometry. Free Radic Biol Med 42:823–829PubMedCrossRef Sethuraman M, Clavreul N, Huang H, McComb ME, Costello CE, Cohen RA (2007) Quantification of oxidative posttranslational modifications of cysteine thiols of p21ras associated with redox modulation of activity using isotope-coded affinity tags and mass spectrometry. Free Radic Biol Med 42:823–829PubMedCrossRef
go back to reference Simpson RJ, Bernhard OK, Greening DW, Moritz RL (2008) Proteomics-driven cancer biomarker discovery: looking to the future. Curr Opin Chem Biol 12:72–77PubMedCrossRef Simpson RJ, Bernhard OK, Greening DW, Moritz RL (2008) Proteomics-driven cancer biomarker discovery: looking to the future. Curr Opin Chem Biol 12:72–77PubMedCrossRef
go back to reference Sorlie T, Perou CM, Tibshirani R et al (2001) Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci USA 98:10869–10874PubMedCrossRef Sorlie T, Perou CM, Tibshirani R et al (2001) Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci USA 98:10869–10874PubMedCrossRef
go back to reference Stastny J, Prasad R, Fosslien E (1984) Tissue proteins in breast cancer, as studied by use of two-dimensional electrophoresis. Clin Chem 30:1914–1918PubMed Stastny J, Prasad R, Fosslien E (1984) Tissue proteins in breast cancer, as studied by use of two-dimensional electrophoresis. Clin Chem 30:1914–1918PubMed
go back to reference Sutton CW, Rustogi N, Gurkan C et al (2010) Quantitative proteomic profiling of matched normal and tumor breast tissues. J Proteome Res 9:3891–3902PubMedCrossRef Sutton CW, Rustogi N, Gurkan C et al (2010) Quantitative proteomic profiling of matched normal and tumor breast tissues. J Proteome Res 9:3891–3902PubMedCrossRef
go back to reference Trask DK, Band V, Zajchowski DA, Yaswen P, Suh T, Sager R (1990) Keratins as markers that distinguish normal and tumor-derived mammary epithelial cells. Proc Natl Acad Sci USA 87:2319–2323PubMedCrossRef Trask DK, Band V, Zajchowski DA, Yaswen P, Suh T, Sager R (1990) Keratins as markers that distinguish normal and tumor-derived mammary epithelial cells. Proc Natl Acad Sci USA 87:2319–2323PubMedCrossRef
go back to reference Traub F, Feist H, Kreipe HH, Pich A (2005) SELDI-MS-based expression profiling of ductal invasive and lobular invasive human breast carcinomas. Pathol Res Pract 201:763–770PubMedCrossRef Traub F, Feist H, Kreipe HH, Pich A (2005) SELDI-MS-based expression profiling of ductal invasive and lobular invasive human breast carcinomas. Pathol Res Pract 201:763–770PubMedCrossRef
go back to reference Traub F, Jost M, Hess R et al (2006) Peptidomic analysis of breast cancer reveals a putative surrogate marker for estrogen receptor-negative carcinomas. Lab Invest 86:246–253PubMedCrossRef Traub F, Jost M, Hess R et al (2006) Peptidomic analysis of breast cancer reveals a putative surrogate marker for estrogen receptor-negative carcinomas. Lab Invest 86:246–253PubMedCrossRef
go back to reference Tsitsilonis OE, Bekris E, Voutsas IF et al (1998) The prognostic value of alpha-thymosins in breast cancer. Anticancer Res 18:1501–1508PubMed Tsitsilonis OE, Bekris E, Voutsas IF et al (1998) The prognostic value of alpha-thymosins in breast cancer. Anticancer Res 18:1501–1508PubMed
go back to reference Umar A, Dalebout JC, Timmermans AM, Foekens JA, Luider TM (2005) Method optimisation for peptide profiling of microdissected breast carcinoma tissue by matrix-assisted laser desorption/ionisation-time of flight and matrix-assisted laser desorption/ionisation-time of flight/time of flight-mass spectrometry. Proteomics 5:2680–2688PubMedCrossRef Umar A, Dalebout JC, Timmermans AM, Foekens JA, Luider TM (2005) Method optimisation for peptide profiling of microdissected breast carcinoma tissue by matrix-assisted laser desorption/ionisation-time of flight and matrix-assisted laser desorption/ionisation-time of flight/time of flight-mass spectrometry. Proteomics 5:2680–2688PubMedCrossRef
go back to reference Umbricht CB, Evron E, Gabrielson E, Ferguson A, Marks J, Sukumar S (2001) Hypermethylation of 14-3-3 sigma (stratifin) is an early event in breast cancer. Oncogene 20:3348–3353PubMedCrossRef Umbricht CB, Evron E, Gabrielson E, Ferguson A, Marks J, Sukumar S (2001) Hypermethylation of 14-3-3 sigma (stratifin) is an early event in breast cancer. Oncogene 20:3348–3353PubMedCrossRef
go back to reference van’t Veer LJ, Dai H, van de Vijver MJ et al (2003) Expression profiling predicts outcome in breast cancer. Breast Cancer Res 5:57–58CrossRef van’t Veer LJ, Dai H, van de Vijver MJ et al (2003) Expression profiling predicts outcome in breast cancer. Breast Cancer Res 5:57–58CrossRef
go back to reference Vercoutter-Edouart AS, Lemoine J, Le Bourhis X et al (2001) Proteomic analysis reveals that 14-3-3sigma is down-regulated in human breast cancer cells. Cancer Res 61:76–80PubMed Vercoutter-Edouart AS, Lemoine J, Le Bourhis X et al (2001) Proteomic analysis reveals that 14-3-3sigma is down-regulated in human breast cancer cells. Cancer Res 61:76–80PubMed
go back to reference Weigelt B, Baehner FL, Reis-Filho JS (2010) The contribution of gene expression profiling to breast cancer classification, prognostication and prediction: a retrospective of the last decade. J Pathol 220:263–280PubMedCrossRef Weigelt B, Baehner FL, Reis-Filho JS (2010) The contribution of gene expression profiling to breast cancer classification, prognostication and prediction: a retrospective of the last decade. J Pathol 220:263–280PubMedCrossRef
go back to reference Weiss JM, Goode EL, Ladiges WC, Ulrich CM (2005) Polymorphic variation in hOGG1 and risk of cancer: a review of the functional and epidemiologic literature. Mol Carcinog 42:127–141PubMedCrossRef Weiss JM, Goode EL, Ladiges WC, Ulrich CM (2005) Polymorphic variation in hOGG1 and risk of cancer: a review of the functional and epidemiologic literature. Mol Carcinog 42:127–141PubMedCrossRef
go back to reference Wilkins MR, Sanchez JC, Gooley AA et al (1996) Progress with proteome projects: why all proteins expressed by a genome should be identified and how to do it. Biotechnol Genet Eng Rev 13:19–50PubMed Wilkins MR, Sanchez JC, Gooley AA et al (1996) Progress with proteome projects: why all proteins expressed by a genome should be identified and how to do it. Biotechnol Genet Eng Rev 13:19–50PubMed
go back to reference Wirth PJ (1989) Specific polypeptide differences in normal versus malignant breast tissue by two-dimensional electrophoresis. Electrophoresis 10:543–554PubMedCrossRef Wirth PJ (1989) Specific polypeptide differences in normal versus malignant breast tissue by two-dimensional electrophoresis. Electrophoresis 10:543–554PubMedCrossRef
go back to reference Worland PJ, Bronzert D, Dickson RB et al (1989) Secreted and cellular polypeptide patterns of MCF-7 human breast cancer cells following either estrogen stimulation or v-H-ras transfection. Cancer Res 49:51–57PubMed Worland PJ, Bronzert D, Dickson RB et al (1989) Secreted and cellular polypeptide patterns of MCF-7 human breast cancer cells following either estrogen stimulation or v-H-ras transfection. Cancer Res 49:51–57PubMed
go back to reference Wright GL Jr (1974) Two-dimensional acrylamide gel electrophoresis of cancer-patient serum proteins. Ann Clin Lab Sci 4:281–293PubMed Wright GL Jr (1974) Two-dimensional acrylamide gel electrophoresis of cancer-patient serum proteins. Ann Clin Lab Sci 4:281–293PubMed
go back to reference Wulfkuhle JD, McLean KC, Paweletz CP et al (2001) New approaches to proteomic analysis of breast cancer. Proteomics 1:1205–1215PubMedCrossRef Wulfkuhle JD, McLean KC, Paweletz CP et al (2001) New approaches to proteomic analysis of breast cancer. Proteomics 1:1205–1215PubMedCrossRef
go back to reference Yiu CC, Sasano H, Ono K, Chow LW (2010a) Changes in protein expressions after neoadjuvant use of aromatase inhibitors in primary breast cancer: a proteomic approach to search for potential biomarkers to predict response or resistance. Expert Opin Investig Drugs 19(Suppl 1):S79–S89 Yiu CC, Sasano H, Ono K, Chow LW (2010a) Changes in protein expressions after neoadjuvant use of aromatase inhibitors in primary breast cancer: a proteomic approach to search for potential biomarkers to predict response or resistance. Expert Opin Investig Drugs 19(Suppl 1):S79–S89
go back to reference Yiu CC, Chanplakorn N, Chan MS et al (2010b) Down regulation of Heat Shock Protein 70 (HSP-70) correlated with responsiveness to neoadjuvant aromatase inhibitor (AI) therapy in breast cancer patients. Anticancer Res 30:3465–3472PubMed Yiu CC, Chanplakorn N, Chan MS et al (2010b) Down regulation of Heat Shock Protein 70 (HSP-70) correlated with responsiveness to neoadjuvant aromatase inhibitor (AI) therapy in breast cancer patients. Anticancer Res 30:3465–3472PubMed
go back to reference Zeidan BA, Cutress RI, Murray N et al (2009) Proteomic analysis of archival breast cancer serum. Cancer Genomics Proteomics 6:141–147PubMed Zeidan BA, Cutress RI, Murray N et al (2009) Proteomic analysis of archival breast cancer serum. Cancer Genomics Proteomics 6:141–147PubMed
go back to reference Zhang F, Chen JY (2010) Discovery of pathway biomarkers from coupled proteomics and systems biology methods. BMC Genomics 11(Suppl 2):512CrossRef Zhang F, Chen JY (2010) Discovery of pathway biomarkers from coupled proteomics and systems biology methods. BMC Genomics 11(Suppl 2):512CrossRef
go back to reference Zhang Z, Bast RC Jr, Yu Y et al (2004) Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer. Cancer Res 64:5882–5890PubMedCrossRef Zhang Z, Bast RC Jr, Yu Y et al (2004) Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer. Cancer Res 64:5882–5890PubMedCrossRef
go back to reference Zhang Y, Newcomb PA, Egan KM et al (2006) Genetic polymorphisms in base-excision repair pathway genes and risk of breast cancer. Cancer Epidemiol Biomarkers Prev 15:353–358PubMedCrossRef Zhang Y, Newcomb PA, Egan KM et al (2006) Genetic polymorphisms in base-excision repair pathway genes and risk of breast cancer. Cancer Epidemiol Biomarkers Prev 15:353–358PubMedCrossRef
Metadata
Title
Breast cancer proteomics: a review for clinicians
Authors
E. R. C. G. N. Galvão
L. M. S. Martins
J. O. Ibiapina
H. M. Andrade
S. J. H. Monte
Publication date
01-06-2011
Publisher
Springer-Verlag
Published in
Journal of Cancer Research and Clinical Oncology / Issue 6/2011
Print ISSN: 0171-5216
Electronic ISSN: 1432-1335
DOI
https://doi.org/10.1007/s00432-011-0978-0

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