Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on medication adherence

LIVE: Thursday 27th June 2024, 18:00-19:30 (CEST)
Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.
ADVANCED SEARCH
Log in
Top
Journal of Hematology & Oncology
Published in: Journal of Hematology & Oncology 1/2010

Open Access 01-12-2010 | Review

Applying mass spectrometry based proteomic technology to advance the understanding of multiple myeloma

Authors: Johann Micallef, Moyez Dharsee, Jian Chen, Suzanne Ackloo, Ken Evans, Luqui Qiu, Hong Chang

Published in: Journal of Hematology & Oncology | Issue 1/2010

Login to get access

Abstract

Multiple myeloma (MM) is the second most common hematological malignancy in adults. It is characterized by clonal proliferation of terminally differentiated B lymphocytes and over-production of monoclonal immunoglobulins. Recurrent genomic aberrations have been identified to contribute to the aggressiveness of this cancer. Despite a wealth of knowledge describing the molecular biology of MM as well as significant advances in therapeutics, this disease remains fatal. The identification of biomarkers, especially through the use of mass spectrometry, however, holds great promise to increasing our understanding of this disease. In particular, novel biomarkers will help in the diagnosis, prognosis and therapeutic stratification of MM. To date, results from mass spectrometry studies of MM have provided valuable information with regards to MM diagnosis and response to therapy. In addition, mass spectrometry was employed to study relevant signaling pathways activated in MM. This review will focus on how mass spectrometry has been applied to increase our understanding of MM.
Appendix
Available only for authorised users
Literature
1.
Raab MS, Podar K, Breitkreutz I, Richardson PG, Anderson KC: Multiple myeloma. Lancet. 2009, 374: 324-339. 10.1016/S0140-6736(09)60221-X.CrossRefPubMed
2.
Bergsagel PL, Chesi M, Nardini E, Brents LA, Kirby SL, Kuehl WM: Promiscuous translocations into immunoglobulin heavy chain switch regions in multiple myeloma. Proc Natl Acad Sci USA. 1996, 93: 13931-13936. 10.1073/pnas.93.24.13931.PubMedCentralCrossRefPubMed
3.
Bergsagel PL, Kuehl WM: Chromosome translocations in multiple myeloma. Oncogene. 2001, 20: 5611-5622. 10.1038/sj.onc.1204641.CrossRefPubMed
4.
Bergsagel PL, Nardini E, Brents L, Chesi M, Kuehl WM: IgH translocations in multiple myeloma: a nearly universal event that rarely involves c-myc. Curr Top Microbiol Immunol. 1997, 224: 283-287.PubMed
5.
Barille-Nion S, Barlogie B, Bataille R, Bergsagel PL, Epstein J, Fenton RG, Jacobson J, Kuehl WM, Shaughnessy J, Tricot G: Advances in biology and therapy of multiple myeloma. Hematology Am Soc Hematol Educ Program. 2003, 248-278.
6.
Onwuazor ON, Wen XY, Wang DY, Zhuang L, Masih-Khan E, Claudio J, Barlogie B, Shaughnessy JD, Stewart AK: Mutation, SNP, and isoform analysis of fibroblast growth factor receptor 3 (FGFR3) in 150 newly diagnosed multiple myeloma patients. Blood. 2003, 102: 772-773. 10.1182/blood-2003-04-1204.CrossRefPubMed
7.
Fonseca R, Bailey RJ, Ahmann GJ, Rajkumar SV, Hoyer JD, Lust JA, Kyle RA, Gertz MA, Greipp PR, Dewald GW: Genomic abnormalities in monoclonal gammopathy of undetermined significance. Blood. 2002, 100: 1417-1424.PubMed
8.
Kaufmann H, Ackermann J, Baldia C, Nosslinger T, Wieser R, Seidl S, Sagaster V, Gisslinger H, Jager U, Pfeilstocker M: Both IGH translocations and chromosome 13q deletions are early events in monoclonal gammopathy of undetermined significance and do not evolve during transition to multiple myeloma. Leukemia. 2004, 18: 1879-1882. 10.1038/sj.leu.2403518.CrossRefPubMed
9.
Kuehl WM, Bergsagel PL: Multiple myeloma: evolving genetic events and host interactions. Nat Rev Cancer. 2002, 2: 175-187. 10.1038/nrc746.CrossRefPubMed
10.
Chang H, Bartlett ES, Patterson B, Chen CI, Yi QL: The absence of CD56 on malignant plasma cells in the cerebrospinal fluid is the hallmark of multiple myeloma involving central nervous system. Br J Haematol. 2005, 129: 539-541. 10.1111/j.1365-2141.2005.05493.x.CrossRefPubMed
11.
Chang H, Bouman D, Boerkoel CF, Stewart AK, Squire JA: Frequent monoallelic loss of D13S319 in multiple myeloma patients shown by interphase fluorescence in situ hybridization. Leukemia. 1999, 13: 105-109. 10.1038/sj/leu/2401208.CrossRefPubMed
12.
Chang H, Li D, Zhuang L, Nie E, Bouman D, Stewart AK, Chun K: Detection of chromosome 13q deletions and IgH translocations in patients with multiple myeloma by FISH: comparison with karyotype analysis. Leuk Lymphoma. 2004, 45: 965-969. 10.1080/10428190310001638832.CrossRefPubMed
13.
Chang H, Ning Y, Qi X, Yeung J, Xu W: Chromosome 1p21 deletion is a novel prognostic marker in patients with multiple myeloma. Br J Haematol. 2007, 139: 51-54. 10.1111/j.1365-2141.2007.06750.x.CrossRefPubMed
14.
Chang H, Qi C, Yi QL, Reece D, Stewart AK: p53 gene deletion detected by fluorescence in situ hybridization is an adverse prognostic factor for patients with multiple myeloma following autologous stem cell transplantation. Blood. 2005, 105: 358-360. 10.1182/blood-2004-04-1363.CrossRefPubMed
15.
Chang H, Qi X, Trieu Y, Xu W, Reader JC, Ning Y, Reece D: Multiple myeloma patients with CKS1B gene amplification have a shorter progression-free survival post-autologous stem cell transplantation. Br J Haematol. 2006, 135: 486-491. 10.1111/j.1365-2141.2006.06325.x.CrossRefPubMed
16.
Chang H, Qi XY, Claudio J, Zhuang L, Patterson B, Stewart AK: Analysis of PTEN deletions and mutations in multiple myeloma. Leuk Res. 2006, 30: 262-265. 10.1016/j.leukres.2005.07.008.CrossRefPubMed
17.
Chang H, Qi XY, Samiee S, Yi QL, Chen C, Trudel S, Mikhael J, Reece D, Stewart AK: Genetic risk identifies multiple myeloma patients who do not benefit from autologous stem cell transplantation. Bone Marrow Transplant. 2005, 36: 793-796. 10.1038/sj.bmt.1705131.CrossRefPubMed
18.
Chang H, Sloan S, Li D, Keith Stewart A: Multiple myeloma involving central nervous system: high frequency of chromosome 17p13.1 (p53) deletions. Br J Haematol. 2004, 127: 280-284. 10.1111/j.1365-2141.2004.05199.x.CrossRefPubMed
19.
Chang H, Sloan S, Li D, Patterson B: Genomic aberrations in plasma cell leukemia shown by interphase fluorescence in situ hybridization. Cancer Genet Cytogenet. 2005, 156: 150-153. 10.1016/j.cancergencyto.2004.05.004.CrossRefPubMed
20.
Chang H, Sloan S, Li D, Zhuang L, Yi QL, Chen CI, Reece D, Chun K, Keith Stewart A: The t(4;14) is associated with poor prognosis in myeloma patients undergoing autologous stem cell transplant. Br J Haematol. 2004, 125: 64-68. 10.1111/j.1365-2141.2004.04867.x.CrossRefPubMed
21.
Chang H, Stewart AK, Qi XY, Li ZH, Yi QL, Trudel S: Immunohistochemistry accurately predicts FGFR3 aberrant expression and t(4;14) in multiple myeloma. Blood. 2005, 106: 353-355. 10.1182/blood-2005-01-0033.CrossRefPubMed
22.
Chang H, Yeung J, Qi C, Xu W: Aberrant nuclear p53 protein expression detected by immunohistochemistry is associated with hemizygous P53 deletion and poor survival for multiple myeloma. Br J Haematol. 2007, 138: 324-329. 10.1111/j.1365-2141.2007.06649.x.CrossRefPubMed
23.
Chang H, Yeung J, Xu W, Ning Y, Patterson B: Significant increase of CKS1B amplification from monoclonal gammopathy of undetermined significance to multiple myeloma and plasma cell leukaemia as demonstrated by interphase fluorescence in situ hybridisation. Br J Haematol. 2006, 134: 613-615. 10.1111/j.1365-2141.2006.06237.x.CrossRefPubMed
24.
Chang H, Qi XY, Stewart AK: t(11;14) does not predict long-term survival in myeloma. Leukemia. 2005, 19: 1078-1079. 10.1038/sj.leu.2403744.CrossRefPubMed
25.
Chang H, Qi X, Jiang A, Xu W, Young T, Reece D: 1p21 deletions are strongly associated with 1q21 gains and are an independent adverse prognostic factor for the outcome of high-dose chemotherapy in patients with multiple myeloma. Bone Marrow Transplant. 2009, 45 (1): 117-21. 10.1038/bmt.2009.107.CrossRefPubMed
26.
Jaksic W, Trudel S, Chang H, Trieu Y, Qi X, Mikhael J, Reece D, Chen C, Stewart AK: Clinical outcomes in t(4;14) multiple myeloma: a chemotherapy-sensitive disease characterized by rapid relapse and alkylating agent resistance. J Clin Oncol. 2005, 23: 7069-7073. 10.1200/JCO.2005.17.129.CrossRefPubMed
27.
Chang H, Trieu Y, Qi X, Xu W, Stewart KA, Reece D: Bortezomib therapy response is independent of cytogenetic abnormalities in relapsed/refractory multiple myeloma. Leuk Res. 2007, 31: 779-782. 10.1016/j.leukres.2006.08.002.CrossRefPubMed
28.
Reece D, Song KW, Fu T, Roland B, Chang H, Horsman DE, Mansoor A, Chen C, Masih-Khan E, Trieu Y: Influence of cytogenetics in patients with relapsed or refractory multiple myeloma treated with lenalidomide plus dexamethasone: adverse effect of deletion 17p13. Blood. 2009, 114: 522-525. 10.1182/blood-2008-12-193458.CrossRefPubMed
29.
Mulligan G, Mitsiades C, Bryant B, Zhan F, Chng WJ, Roels S, Koenig E, Fergus A, Huang Y, Richardson P: Gene expression profiling and correlation with outcome in clinical trials of the proteasome inhibitor bortezomib. Blood. 2007, 109: 3177-3188. 10.1182/blood-2006-09-044974.CrossRefPubMed
30.
Chauhan D, Auclair D, Robinson EK, Hideshima T, Li G, Podar K, Gupta D, Richardson P, Schlossman RL, Krett N: Identification of genes regulated by dexamethasone in multiple myeloma cells using oligonucleotide arrays. Oncogene. 2002, 21: 1346-1358. 10.1038/sj.onc.1205205.CrossRefPubMed
31.
Watts GS, Futscher BW, Isett R, Gleason-Guzman M, Kunkel MW, Salmon SE: cDNA microarray analysis of multidrug resistance: doxorubicin selection produces multiple defects in apoptosis signaling pathways. J Pharmacol Exp Ther. 2001, 299: 434-441.PubMed
32.
Davies FE, Dring AM, Li C, Rawstron AC, Shammas MA, O'Connor SM, Fenton JA, Hideshima T, Chauhan D, Tai IT: Insights into the multistep transformation of MGUS to myeloma using microarray expression analysis. Blood. 2003, 102: 4504-4511. 10.1182/blood-2003-01-0016.CrossRefPubMed
33.
Ideker T, Thorsson V, Ranish JA, Christmas R, Buhler J, Eng JK, Bumgarner R, Goodlett DR, Aebersold R, Hood L: Integrated genomic and proteomic analyses of a systematically perturbed metabolic network. Science. 2001, 292: 929-934. 10.1126/science.292.5518.929.CrossRefPubMed
34.
Gygi SP, Rochon Y, Franza BR, Aebersold R: Correlation between protein and mRNA abundance in yeast. Mol Cell Biol. 1999, 19: 1720-1730.PubMedCentralPubMed
35.
Anderson L, Seilhamer JAG: A comparison of selected mRNA and protein abundances in human liver. Electrophoresis. 1997, 18: 533-537. 10.1002/elps.1150180333.CrossRefPubMed
36.
Micallef J, Gajadhar A, Wiley J, DeSouza LV, Michael Siu KW, Guha A: Proteomics: present and future implications in neuro-oncology. Neurosurgery. 2008, 62: 539-555. 10.1227/01.neu.0000317302.85837.61. discussion 539-555CrossRefPubMed
37.
Liebler D: Introduction to Proteomics. 2002, Totowa, NJ: Humana Press
38.
Zhao L, Lee BY, Brown DA, Molloy MP, Marx GM, Pavlakis N, Boyer MJ, Stockler MR, Kaplan W, Breit SN: Identification of candidate biomarkers of therapeutic response to docetaxel by proteomic profiling. Cancer Res. 2009, 69: 7696-7703. 10.1158/0008-5472.CAN-08-4901.CrossRefPubMed
39.
Bijian K, Mlynarek AM, Balys RL, Jie S, Xu Y, Hier MP, Black MJ, Di Falco MR, LaBoissiere S, Alaoui-Jamali MA: Serum proteomic approach for the identification of serum biomarkers contributed by oral squamous cell carcinoma and host tissue microenvironment. J Proteome Res. 2009, 8: 2173-2185. 10.1021/pr800979e.CrossRefPubMed
40.
Bouchal P, Roumeliotis T, Hrstka R, Nenutil R, Vojtesek B, Garbis SD: 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. 2009, 8: 362-373. 10.1021/pr800622b.CrossRefPubMed
41.
DeSouza LV, Romaschin AD, Colgan TJ, Siu KW: Absolute quantification of potential cancer markers in clinical tissue homogenates using multiple reaction monitoring on a hybrid triple quadrupole/linear ion trap tandem mass spectrometer. Anal Chem. 2009, 81: 3462-3470. 10.1021/ac802726a.CrossRefPubMed
42.
Zhu H, Dale PS, Caldwell CW, Fan X: Rapid and label-free detection of breast cancer biomarker CA15-3 in clinical human serum samples with optofluidic ring resonator sensors. Anal Chem. 2009, 81: 9858-9865. 10.1021/ac902437g.CrossRefPubMed
43.
Rower C, Vissers JP, Koy C, Kipping M, Hecker M, Reimer T, Gerber B, Thiesen HJ, Glocker MO: Towards a proteome signature for invasive ductal breast carcinoma derived from label-free nanoscale LC-MS protein expression profiling of tumorous and glandular tissue. Anal Bioanal Chem. 2009, 395: 2443-2456. 10.1007/s00216-009-3187-9.CrossRefPubMed
44.
Fatima N, Chelius D, Luke BT, Yi M, Zhang T, Stauffer S, Stephens R, Lynch P, Miller K, Guszczynski T: Label-free global serum proteomic profiling reveals novel celecoxib-modulated proteins in familial adenomatous polyposis patients. Cancer Genomics Proteomics. 2009, 6: 41-49.PubMed
45.
Pan J, Chen HQ, Sun YH, Zhang JH, Luo XY: Comparative proteomic analysis of non-small-cell lung cancer and normal controls using serum label-free quantitative shotgun technology. Lung. 2008, 186: 255-261. 10.1007/s00408-008-9093-7.CrossRefPubMed
46.
Griffin NM, Yu J, Long F, Oh P, Shore S, Li Y, Koziol JA, Schnitzer JE: Label-free, normalized quantification of complex mass spectrometry data for proteomic analysis. Nat Biotechnol. 2010, 28: 83-89. 10.1038/nbt.1592.PubMedCentralCrossRefPubMed
47.
Liu H, Sadygov RG, Yates JR: A model for random sampling and estimation of relative protein abundance in shotgun proteomics. Anal Chem. 2004, 76: 4193-4201. 10.1021/ac0498563.CrossRefPubMed
48.
Gao J, Opiteck GJ, Friedrichs MS, Dongre AR, Hefta SA: Changes in the protein expression of yeast as a function of carbon source. J Proteome Res. 2003, 2: 643-649. 10.1021/pr034038x.CrossRefPubMed
49.
Zhang B, VerBerkmoes NC, Langston MA, Uberbacher E, Hettich RL, Samatova NF: Detecting differential and correlated protein expression in label-free shotgun proteomics. J Proteome Res. 2006, 5: 2909-2918. 10.1021/pr0600273.CrossRefPubMed
50.
Old WM, Meyer-Arendt K, Aveline-Wolf L, Pierce KG, Mendoza A, Sevinsky JR, Resing KA, Ahn NG: Comparison of label-free methods for quantifying human proteins by shotgun proteomics. Mol Cell Proteomics. 2005, 4: 1487-1502. 10.1074/mcp.M500084-MCP200.CrossRefPubMed
51.
Zybailov B, Coleman MK, Florens L, Washburn MP: Correlation of relative abundance ratios derived from peptide ion chromatograms and spectrum counting for quantitative proteomic analysis using stable isotope labeling. Anal Chem. 2005, 77: 6218-6224. 10.1021/ac050846r.CrossRefPubMed
52.
Mueller LN, Brusniak MY, Mani DR, Aebersold R: An assessment of software solutions for the analysis of mass spectrometry based quantitative proteomics data. J Proteome Res. 2008, 7: 51-61. 10.1021/pr700758r.CrossRefPubMed
53.
Bantscheff M, Schirle M, Sweetman G, Rick J, Kuster B: Quantitative mass spectrometry in proteomics: a critical review. Anal Bioanal Chem. 2007, 389: 1017-1031. 10.1007/s00216-007-1486-6.CrossRefPubMed
54.
Simpson KL, Whetton AD, Dive C: Quantitative mass spectrometry-based techniques for clinical use: biomarker identification and quantification. J Chromatogr B Analyt Technol Biomed Life Sci. 2009, 877: 1240-1249. 10.1016/j.jchromb.2008.11.023.CrossRefPubMed
55.
Landgren O, Kyle RA, Pfeiffer RM, Katzmann JA, Caporaso NE, Hayes RB, Dispenzieri A, Kumar S, Clark RJ, Baris D: Monoclonal gammopathy of undetermined significance (MGUS) consistently precedes multiple myeloma: a prospective study. Blood. 2009, 113: 5412-5417. 10.1182/blood-2008-12-194241.PubMedCentralCrossRefPubMed
56.
Ritchie SA, Ahiahonu PW, Jayasinghe D, Heath D, Liu J, Lu Y, Jin W, Kavianpour A, Yamazaki Y, Khan AM: Reduced levels of hydroxylated, polyunsaturated ultra long-chain fatty acids in the serum of colorectal cancer patients: implications for early screening and detection. BMC Med. 2010, 8: 13-10.1186/1741-7015-8-13.PubMedCentralCrossRefPubMed
57.
Schaaij-Visser TB, Brakenhoff RH, Leemans CR, Heck AJ, Slijper M: Protein biomarker discovery for head and neck cancer. J Proteomics. 2010,
58.
Gromov P, Gromova I, Bunkenborg J, Cabezon T, Moreira JM, Timmermans-Wielenga V, Roepstorff P, Rank F, Celis JE: Up-regulated proteins in the fluid bathing the tumour cell microenvironment as potential serological markers for early detection of cancer of the breast. Mol Oncol. 2010, 4: 65-89. 10.1016/j.molonc.2009.11.003.CrossRefPubMed
59.
Kawase H, Fujii K, Miyamoto M, Kubota KC, Hirano S, Kondo S, Inagaki F: Differential LC-MS-based proteomics of surgical human cholangiocarcinoma tissues. J Proteome Res. 2009, 8: 4092-4103. 10.1021/pr900468k.CrossRefPubMed
60.
Li G, Zhang W, Zeng H, Chen L, Wang W, Liu J, Zhang Z, Cai Z: An integrative multi-platform analysis for discovering biomarkers of osteosarcoma. BMC Cancer. 2009, 9: 150-10.1186/1471-2407-9-150.PubMedCentralCrossRefPubMed
61.
Yee J, Sadar MD, Sin DD, Kuzyk M, Xing L, Kondra J, McWilliams A, Man SF, Lam S: Connective tissue-activating peptide III: a novel blood biomarker for early lung cancer detection. J Clin Oncol. 2009, 27: 2787-2792. 10.1200/JCO.2008.19.4233.PubMedCentralCrossRefPubMed
62.
Davis MA, Hanash S: High-throughput genomic technology in research and clinical management of breast cancer. Plasma-based proteomics in early detection and therapy. Breast Cancer Res. 2006, 8: 217-10.1186/bcr1619.PubMedCentralCrossRefPubMed
63.
Faca V, Krasnoselsky A, Hanash S: Innovative proteomic approaches for cancer biomarker discovery. Biotechniques. 2007, 43: 279-10.2144/000112541. 281-273, 285CrossRefPubMed
64.
Hanash SM, Pitteri SJ, Faca VM: Mining the plasma proteome for cancer biomarkers. Nature. 2008, 452: 571-579. 10.1038/nature06916.CrossRefPubMed
65.
Koomen JM, Haura EB, Bepler G, Sutphen R, Remily-Wood ER, Benson K, Hussein M, Hazlehurst LA, Yeatman TJ, Hildreth LT: Proteomic contributions to personalized cancer care. Mol Cell Proteomics. 2008, 7: 1780-1794. 10.1074/mcp.R800002-MCP200.PubMedCentralCrossRefPubMed
66.
Wang QT, Li YZ, Liang YF, Hu CJ, Zhai YH, Zhao GF, Zhang J, Li N, Ni AP, Chen WM, Xu Y: Construction of a multiple myeloma diagnostic model by magnetic bead-based MALDI-TOF mass spectrometry of serum and pattern recognition software. Anat Rec (Hoboken). 2009, 292: 604-610.CrossRef
67.
Bhattacharyya S, Epstein J, Suva LJ: Biomarkers that discriminate multiple myeloma patients with or without skeletal involvement detected using SELDI-TOF mass spectrometry and statistical and machine learning tools. Dis Markers. 2006, 22: 245-255.PubMedCentralCrossRefPubMed
68.
Richardson PG, Barlogie B, Berenson J, Singhal S, Jagannath S, Irwin D, Rajkumar SV, Srkalovic G, Alsina M, Alexanian R: A phase 2 study of bortezomib in relapsed, refractory myeloma. N Engl J Med. 2003, 348: 2609-2617. 10.1056/NEJMoa030288.CrossRefPubMed
69.
Jagannath S, Barlogie B, Berenson J, Siegel D, Irwin D, Richardson PG, Niesvizky R, Alexanian R, Limentani SA, Alsina M: A phase 2 study of two doses of bortezomib in relapsed or refractory myeloma. Br J Haematol. 2004, 127: 165-172. 10.1111/j.1365-2141.2004.05188.x.CrossRefPubMed
70.
Adams J: The proteasome: a suitable antineoplastic target. Nat Rev Cancer. 2004, 4: 349-360. 10.1038/nrc1361.CrossRefPubMed
71.
Jagannath S, Richardson PG, Sonneveld P, Schuster MW, Irwin D, Stadtmauer EA, Facon T, Harousseau JL, Cowan JM, Anderson KC: Bortezomib appears to overcome the poor prognosis conferred by chromosome 13 deletion in phase 2 and 3 trials. Leukemia. 2007, 21: 151-157. 10.1038/sj.leu.2404442.CrossRefPubMed
72.
Sagaster V, Ludwig H, Kaufmann H, Odelga V, Zojer N, Ackermann J, Kuenburg E, Wieser R, Zielinski C, Drach J: Bortezomib in relapsed multiple myeloma: response rates and duration of response are independent of a chromosome 13q-deletion. Leukemia. 2007, 21: 164-168. 10.1038/sj.leu.2404459.CrossRefPubMed
73.
Micallef JCJ, Dharsee M, Ackloo S, Evans K, Chang H-bomb: Elucidation of Proteins Involved in the Bortezomib Resistance of Multiple Myelomas though iTRAQ Analysis. Book Elucidation of Proteins Involved in the Bortezomib Resistance of Multiple Myelomas though iTRAQ Analysis (Editor). City. 2010
74.
Micallef J, Taccone M, Mukherjee J, Croul S, Busby J, Moran MF, Guha A: Epidermal growth factor receptor variant III-induced glioma invasion is mediated through myristoylated alanine-rich protein kinase C substrate overexpression. Cancer Res. 2009, 69: 7548-7556. 10.1158/0008-5472.CAN-08-4783.CrossRefPubMed
75.
Hsieh FY, Tengstrand E, Pekol TM, Guerciolini R, Miwa G: Elucidation of potential bortezomib response markers in mutliple myeloma patients. J Pharm Biomed Anal. 2009, 49: 115-122. 10.1016/j.jpba.2008.09.053.CrossRefPubMed
76.
Rees-Unwin KS, Craven RA, Davenport E, Hanrahan S, Totty NF, Dring AM, Banks RE, G JM, Davies FE: Proteomic evaluation of pathways associated with dexamethasone-mediated apoptosis and resistance in multiple myeloma. Br J Haematol. 2007, 139: 559-567. 10.1111/j.1365-2141.2007.06837.x.CrossRefPubMed
77.
Richardson PG, Schlossman RL, Weller E, Hideshima T, Mitsiades C, Davies F, LeBlanc R, Catley LP, Doss D, Kelly K: Immunomodulatory drug CC-5013 overcomes drug resistance and is well tolerated in patients with relapsed multiple myeloma. Blood. 2002, 100: 3063-3067. 10.1182/blood-2002-03-0996.CrossRefPubMed
78.
Ge F, Lu XP, Zeng HL, He QY, Xiong S, Jin L, He QY: Proteomic and functional analyses reveal a dual molecular mechanism underlying arsenic-induced apoptosis in human multiple myeloma cells. J Proteome Res. 2009, 8: 3006-3019. 10.1021/pr9001004.CrossRefPubMed
79.
Eswarakumar VP, Lax I, Schlessinger J: Cellular signaling by fibroblast growth factor receptors. Cytokine Growth Factor Rev. 2005, 16: 139-149. 10.1016/j.cytogfr.2005.01.001.CrossRefPubMed
80.
L'Hote CG, Knowles MA: Cell responses to FGFR3 signalling: growth, differentiation and apoptosis. Exp Cell Res. 2005, 304: 417-431. 10.1016/j.yexcr.2004.11.012.CrossRefPubMed
81.
Trudel S, Stewart AK, Rom E, Wei E, Li ZH, Kotzer S, Chumakov I, Singer Y, Chang H, Liang SB, Yayon A: The inhibitory anti-FGFR3 antibody, PRO-001, is cytotoxic to t(4;14) multiple myeloma cells. Blood. 2006, 107: 4039-4046. 10.1182/blood-2005-10-4179.CrossRefPubMed
82.
Chesi M, Nardini E, Lim RS, Smith KD, Kuehl WM, Bergsagel PL: The t(4;14) translocation in myeloma dysregulates both FGFR3 and a novel gene, MMSET, resulting in IgH/MMSET hybrid transcripts. Blood. 1998, 92: 3025-3034.PubMed
83.
Pollett JB, Trudel S, Stern D, Li ZH, Stewart AK: Overexpression of the myeloma-associated oncogene fibroblast growth factor receptor 3 confers dexamethasone resistance. Blood. 2002, 100: 3819-3821. 10.1182/blood-2002-02-0608.CrossRefPubMed
84.
Paterson JL, Li Z, Wen XY, Masih-Khan E, Chang H, Pollett JB, Trudel S, Stewart AK: Preclinical studies of fibroblast growth factor receptor 3 as a therapeutic target in multiple myeloma. Br J Haematol. 2004, 124: 595-603. 10.1111/j.1365-2141.2004.04814.x.CrossRefPubMed
85.
St-Germain JR, Taylor P, Tong J, Jin LL, Nikolic A, Stewart II, Ewing RM, Dharsee M, Li Z, Trudel S, Moran MF: Multiple myeloma phosphotyrosine proteomic profile associated with FGFR3 expression, ligand activation, and drug inhibition. Proc Natl Acad Sci USA. 2009, 106: 20127-20132.PubMedCentralCrossRefPubMed
86.
Merwe van der DE, Oikonomopoulou K, Marshall J, Diamandis EP: Mass spectrometry: uncovering the cancer proteome for diagnostics. Adv Cancer Res. 2007, 96: 23-50.CrossRefPubMed
87.
Diamandis EP: Analysis of serum proteomic patterns for early cancer diagnosis: drawing attention to potential problems. J Natl Cancer Inst. 2004, 96: 353-356.CrossRefPubMed
88.
Lu H, Knutson KL, Gad E, Disis ML: The tumor antigen repertoire identified in tumor-bearing neu transgenic mice predicts human tumor antigens. Cancer Res. 2006, 66: 9754-9761. 10.1158/0008-5472.CAN-06-1083.CrossRefPubMed
89.
Buzzeo R, Enkemann S, Nimmanapalli R, Alsina M, Lichtenheld MG, Dalton WS, Beaupre DM: Characterization of a R115777-resistant human multiple myeloma cell line with cross-resistance to PS-341. Clin Cancer Res. 2005, 11: 6057-6064. 10.1158/1078-0432.CCR-04-2685.CrossRefPubMed
Metadata
Title
Applying mass spectrometry based proteomic technology to advance the understanding of multiple myeloma
Authors
Johann Micallef
Moyez Dharsee
Jian Chen
Suzanne Ackloo
Ken Evans
Luqui Qiu
Hong Chang
Publication date
01-12-2010
Publisher
BioMed Central
Published in
Journal of Hematology & Oncology / Issue 1/2010
Electronic ISSN: 1756-8722
DOI
https://doi.org/10.1186/1756-8722-3-13

Other articles of this Issue 1/2010

Journal of Hematology & Oncology 1/2010 Go to the issue

Research

CyberKnife radiosurgery for inoperable stage IA non-small cell lung cancer: 18F-fluorodeoxyglucose positron emission tomography/computed tomography serial tumor response assessment

Review

Novel agents and regimens for acute myeloid leukemia: 2009 ASH annual meeting highlights

Case report

Cytostatic and anti-angiogenic effects of temsirolimus in refractory mantle cell lymphoma

Research

Mitochondrial and endoplasmic reticulum stress pathways cooperate in zearalenone-induced apoptosis of human leukemic cells

Review

Ovarian cancer immunotherapy: opportunities, progresses and challenges

Review

The potential benefits of low-molecular-weight heparins in cancer patients
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Watch now

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
Image Credits