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http://dx.doi.org/10.7314/APJCP.2014.15.20.8529

Research Progress in Applying Proteomics Technology to Explore Early Diagnosis Biomarkers of Breast Cancer, Lung Cancer and Ovarian Cancer  

Luo, Lu (College of Veterinary Medicine, Sichuan Agricultural University)
Dong, Li-You (Quarantine of Animals and Plants, Sichuan Agricultural University)
Yan, Qi-Gui (College of Veterinary Medicine, Sichuan Agricultural University)
Cao, San-Jie (College of Veterinary Medicine, Sichuan Agricultural University)
Wen, Xin-Tian (College of Veterinary Medicine, Sichuan Agricultural University)
Huang, Yong (College of Veterinary Medicine, Sichuan Agricultural University)
Huang, Xiao-Bo (College of Veterinary Medicine, Sichuan Agricultural University)
Wu, Rui (College of Veterinary Medicine, Sichuan Agricultural University)
Ma, Xiao-Ping (College of Veterinary Medicine, Sichuan Agricultural University)
Publication Information
Asian Pacific Journal of Cancer Prevention / v.15, no.20, 2014 , pp. 8529-8538 More about this Journal
Abstract
According to the China tumor registry 2013 annual report, breast cancer, lung cancer, and ovarian cancer are three common cancers in China nowadays, with high mortality due to the absence of early diagnosis technology. However, proteomics has been widespreadly implanted into every field of life science and medicine as an important part of post-genomics era research. The development of theory and technology in proteomics has provided new ideas and research fields for cancer research. Proteomics can be used not only for elucidating the mechanisms of carcinogenesis focussing on whole proteins of the tissue or cell, but also seeking the biomarkers for diagnosis and therapy of cancer. In this review, we introduce proteomics principles, covering current technology used in exploring early diagnosis biomarkers of breast cancer, lung cancer and ovarian cancer.
Keywords
Proteomics; biomarkers; breast cancer; lung cancer; ovarian cancer;
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1 Xiao T, Ying W, Li L, et al (2005). An approach to studying lung cancer-related proteins in human blood. Mol Cell Proteomics, 4, 1480-6.   DOI
2 Yu CJ, Wang CI, Chien KY, et al (2013). Quantitative proteomics reveals regulation of KPNA2 and its potential novel cargo proteins in non-small cell lung cancer. FASEB J, 27, 812..
3 Aktas B, Kasimir BS, Wimberger P, et al (2013). Utility of mesothelin, L1CAM and Afamin as biomarkers in primary ovarian cancer. Anticancer Res, 33, 329-36.
4 Ardekani AM, Liotta LA, Petricoin EF (2002). Clinical potential of proteomics in the diagnosis of ovarian cancer. Expert Rev Mol Diagn, 2, 312-20.   DOI
5 Ando S, Suzuki M, Yamamoto N, Iida T, et al (2004). The prognostic value of both neuron-specific enolase (NSE) and Cyfra21-1 in small cell lung cancer. Anticancer Res, 24, 1941-6.
6 Aebersold R, Anderson L, Caprioli R, et al (2005). Perspective: a program to improve protein biomarker discovery for cancer. J proteome Res, 4, 1104-9.   DOI
7 Andre F, Pusztai L (2006). Molecular classification of breast cancer: implications for selection of adjuvant chemotherapy. Nat Clin Pract Oncol, 3, 621-32.   DOI
8 Bailey C, Ueland F, Land G, et al (1998). The malignant potential of small cystic ovarian tumors in women over 50 years of age. Gynecol Oncol, 69, 3-7.   DOI
9 Ardizzoni A, Cafferata MA, Tiseo M, et al (2006). Decline in serum carcinoembryonic antigen and cytokeratin 19 fragment during chemotherapy predicts objective response and survival in patients with advanced nonsmall cell lung cancer. Cancer, 107, 2842-9.   DOI   ScienceOn
10 Bast Jr R, Xu F, Yu Y, et al (1998). CA 125: the past and the future. Int J Biol Marker, 13, 179-87.
11 Bonner JA, Sloan JA, Rowland KM, et al (2000). Significance of neuron-specific enolase levels before and during therapy for small cell lung cancer. Clin Cancer Res, 6, 597-601.
12 Bremnes RM, Sundstrom S, Aasebo U, et al (2003). The value of prognostic factors in small cell lung cancer: results from a randomised multicenter study with minimum 5 year followup. Lung Cancer, 39, 303-13.   DOI
13 Buccheri G, Torchio P, Ferrigno SD (2003). Clinical equivalence of two cytokeratin markers in non-small cell lung cancer: A study of tissue polypeptide antigen and cytokeratin 19 fragments. Chest J, 124, 622-32.   DOI
14 Bertucci F, Goncalyes A (2008). Clinical proteomics and breast cancer: strategies for diagnostic and therapeutic biomarker discovery. Future Med, 271-87.
15 Barlesi F, Gimenez C, Torre JP, et al (2004). Prognostic value of combination of Cyfra 21-1, CEA and NSE in patients with advanced non-small cell lung cancer. Resp Med, 98, 357-62.   DOI
16 Barlesi F, Tchouhadjian C, Doddoli C, et al (2005). CYFRA 21-1 level predicts survival in non-small-cell lung cancer patients receiving gefitinib as third-line therapy. Br J Cancer, 92, 13-4.   DOI
17 Chubak J, Boudreau DM, Fishman PA, et al (2010). Cost of breast-related care in the year following false positive screening mammograms. Med Care, 48, 815.   DOI
18 Bensalah K, Montorsi F, Shariat SF (2007). Challenges of cancer biomarker profiling. Eur Urol, 52, 1601-9.   DOI   ScienceOn
19 Byrd K, Bateman N, Wang G, et al (2014). Correlation of survival-stratified proteomic and curated gene data reveal a three protein biomarker panel that predicts long-term survival of patients with primary epithelial ovarian cancer. 45th Annual Meeting on Women's Cancer: Sgo.
20 Clarke W, Zhang Z, Chan DW (2003). The application of clinical proteomics to cancer and other diseases. Clin Chem Lab Med, 41, 1562-70.
21 Croswell JM, Baker SG, Marcus PM, et al (2010). Cumulative incidence of false-positive test results in lung cancer screening a randomized trial. Ann Intern Med, 152, 505-12.   DOI
22 Chaffer CL, Weinberg RA (2011). A perspective on cancer cell metastasis. Sci, 331, 1559-64.   DOI
23 Collinson F, Hutchinson M, Craven RA, et al (2013). Predicting response to bevacizumab in ovarian cancer: a panel of potential biomarkers informing treatment selection. Clin Cancer Res, 19, 5227-39.   DOI
24 Daly MB, Ozols RF (2002). The search for predictive patterns in ovarian cancer: proteomics meets bioinformatics. Cancer Cell, 1, 111-2.   DOI
25 Cho WC (2014). Proteomics in translational cancer research: biomarker discovery for clinical applications. Expert Rev Proteomics, 11, 131-3.   DOI
26 Chambers AG, Percy AJ, Simon R, et al (2014). MRM for the verification of cancer biomarker proteins: recent applications to human plasma and serum. Expert Rev Proteomics, 11, 1-12.   DOI
27 Ferrigno D, Buccheri G, Giordano C (2003). Neuron-specific enolase is an effective tumour marker in non-small cell lung cancer (NSCLC). Lung Cancer, 41, 311-20.   DOI   ScienceOn
28 Dove A (1999). Proteomics: translating genomics into products? Nat Biotechnol, 17, 233-6.   DOI   ScienceOn
29 Davis CD, Milner J (2004). Frontiers in nutrigenomics, proteomics, metabolomics and cancer prevention. Mutation Res, 551, 51-64.   DOI
30 Everley PA, Krijgsveld J, Zetter BR, et al (2004). Quantitative cancer proteomics: stable isotope labeling with amino acids in cell culture (SILAC) as a tool for prostate cancer research. Mol Cell Proteomics, 3, 729-35.   DOI
31 Fournier F, Guo R, Gardner EM, et al (2009). Biological and biomedical applications of two-dimensional vibrational spectroscopy: proteomics, imaging, and structural analysis. Accounts Chem Res, 42, 1322-31.   DOI   ScienceOn
32 Faley SL, Copland M, Wlodkowic D, et al (2009). Microfluidic single cell arrays to interrogate signalling dynamics of individual, patient-derived hematopoietic stem cells. Lab Chip, 9, 2659-64.   DOI
33 Fotopoulou C, Zang R, Gultekin M, et al (2013). Value of tertiary cytoreductive surgery in epithelial ovarian cancer: an international multicenter evaluation, Ann Surg Oncol, 20, 1348-54.   DOI
34 Hatzakis KD, Froudarakis ME, Bouros D, et al (2002). Prognostic value of serum tumor markers in patients with lung cancer. Resp, 69, 25-9.   DOI
35 Granville CA, Dennis PA (2005). An overview of lung cancer genomics and proteomics. AM J Resp Cell Mol, 32, 169-76.   DOI
36 Galvao E, Martins L, Ibiapina J, et al (2011). Breast cancer proteomics: a review for clinicians. J Cancer Res Clin, 137, 915-25.   DOI
37 Haab BB (2005). Antibody arrays in cancer research. Mol Cell Proteomics, 4, 377-83.   DOI   ScienceOn
38 Gupta S, Venkatesh A, Ray S, et al (2014). Challenges and prospects for biomarker research: a current perspective from developing world. BBA-Proteins Proteom, 1844, 899-908.   DOI
39 Hondermarck H (2003). Breast cancer when proteomics challenges biological complexity. Mol Cell Proteom, 2, 281-91.
40 Holdenrieder S, Stieber P, von Pawel J, et al (2004). Circulating nucleosomes predict the response to chemotherapy in patients with advanced non-small cell lung cancer. Clin Cancer Res, 10, 5981-7.   DOI   ScienceOn
41 Huang LJ, Chen SX, Huang Y, et al (2006). Proteomics-based identification of secreted protein dihydrodiol dehydrogenase as a novel serum markers of non-small cell lung cancer. Lung cancer, 54, 87-94.   DOI   ScienceOn
42 He P, Naka T, Serada S, et al (2007). Proteomics-based identification of $\alpha$-enolase as a tumor antigen in non-small lung cancer. Cancer Sci, 98, 1234-40.   DOI
43 Indovina P, Marcelli E, Pentimalli F, et al (2013). Mass spectrometry-based proteomics: The road to lung cancer biomarker discovery. Mass Spectrometry Rev, 32, 129-42.   DOI
44 Jamal A, Bray F, Center MM, et al (2011). Global cancer statistics. Cancer J Clin, 61, 69-90.   DOI
45 Kosari F, Asmann YW, Cheville JC, et al (2002). Cysteine-rich Secretory Protein-3 a Potential Biomarker for Prostate Cancer. Cancer Epidem Biomar, 11, 1419-26.
46 Kulpa J, Wojcik E, Radkowski A, et al (1999). CYFRA 21-1, TPA-M, TPS, SCC-Ag and CEA in patients with squamous cell lung cancer and in chemical industry workers as a reference group. Anticancer Res, 20, 5035-40.
47 Kolch W, Pitt A (2010). Functional proteomics to dissect tyrosine kinase signaling pathways in cancer. Nat Rev Cancer, 10, 618-29.   DOI
48 Kashiwabara K, Nakamura H, Esaki T (2000). Prognosis in bronchogenic squamous cell carcinoma groups divided according to serum squamous cell carcinoma-related antigen and cytokeratin 19 fragment levels. Clin Chim Acta, 294, 105-13.   DOI
49 Kulpa J, Wojcik E, Reinfuss M, et al (2002). Carcinoembryonic antigen, squamous cell carcinoma antigen, CYFRA 21-1, and neuron-specific enolase in squamous cell lung cancer patients. Clin Chem, 48, 1931-7.
50 Khatcheressian JL, Wolff AC, Smith TJ, et al (2006). American society of clinical oncology 2006 update of the breast cancer follow-up and management guidelines in the adjuvant setting. J Clin Oncol, 24, 5091-7.   DOI   ScienceOn
51 Karimi P, Shahrokni A, Nezami RM (2014). Implementation of proteomics for cancer research: past, present, and future. Asian Pac J Cancer Prev, 15, 2433.   과학기술학회마을   DOI   ScienceOn
52 Levine D, Gosink B, Wolf S, et al (1992). Simple adnexal cysts: the natural history in postmenopausal women. Radiology, 184, 653-9.   DOI
53 Luo L-Y, Katsaros D, Scorilas A, et al (2003). The serum concentration of human kallikrein 10 represents a novel biomarker for ovarian cancer diagnosis and prognosis. Cancer Res, 63, 807-11.
54 Leppert JT, Pantuck AJ, Figlin RA, et al (2007). The role of molecular markers in the staging of renal cell carcinoma. BJU Int, 99, 1208-11.   DOI
55 Liu Z, Wang Y, Wang S, et al (2012). Nek2C functions as a tumor promoter in human breast tumorigenesis. Int J Mol Med, 30, 775.
56 Ludwig JA, Weinstein JN (2005). Biomarkers in cancer staging, prognosis and treatment selection. Nat Rev Cancer, 5, 845-56.   DOI   ScienceOn
57 Lee JH, Chang JH (2005). Diagnostic utility of serum and pleural fluid carcinoembryonic antigen, neuron-specific enolase, and cytokeratin 19 fragments in patients with effusions from primary lung cancer. Chest J, 128, 2298-303.   DOI   ScienceOn
58 Liotta LA, Petricoin E (2011). Cancer biomarkers: closer to delivering on their promise. Cancer Cell, 20, 279-80.   DOI
59 Li L, Xu Y, Yu CY (2012). Proteomics analysis of serum of women with elevated Ca-125 to differentiate malignant from benign ovarian tumors. Asian Pac J Cancer Prev, 13, 3265-70.   DOI   ScienceOn
60 Leung F, Dimitromanolakis A, Kobayashi H, et al (2013). Folate-receptor 1 (FOLR1) protein is elevated in the serum of ovarian cancer patients. Clin Biochem, 46, 1462-8.   DOI
61 Maeda T, Ueoka H, Tabata M, et al (2000). Prognostic factors in advanced non-small cell lung cancer: elevated serum levels of neuron specific enolase indicate poor prognosis. Jpn J Clin Oncol, 30, 534-41.   DOI   ScienceOn
62 Muley T, Dienemann H, Ebert W (2002). Increased CYFRA 21-1 and CEA levels are negative predictors of outcome in p-stage I NSCLC. Anticancer Res, 23, 4085-93.
63 Mok SC, Chao J, Skates S, et al (2001). Prostasin, a potential serum marker for ovarian cancer: identification through microarray technology. J Nat Cancer Inst, 93, 1458-64.   DOI   ScienceOn
64 Massacesi C, Rocchi M, Marcucci F, et al (2002). Serum tumor markers may precede instrumental response to chemotherapy in patients with metastatic cancer. Int J Biol Marker, 18, 295-300.
65 Muley T, Dienemann H, Ebert W (2004). CYFRA 21-1 and CEA are independent prognostic factors in 153 operated stage I NSCLC patients. Anticancer Res, 24, 1953-6.
66 Molina R, Filella X, Auge J, et al (2003). Tumor markers (CEA, CA 125, CYFRA 21-1, SCC and NSE) in patients with nonsmall cell lung cancer as an aid in histological diagnosis and prognosis. Tumor Biol, 24, 209-18.   DOI   ScienceOn
67 Merle P, Janicot H, Filaire M, et al (2003). Early CYFRA 21-1 variation predicts tumor response to chemotherapy and survival in locally advanced non-small cell lung cancer patients. Int J Biol Marker, 19, 310-5.
68 Molina R, Filella X, Auge JM(2004). ProGRP: a new biomarker for small cell lung cancer. Clin Biochem, 37, 505-11.   DOI   ScienceOn
69 Molina R, AUGE JM, Filella X, et al (2005). Pro-gastrinreleasing peptide (proGRP) in patients with benign and malignant diseases: comparison with CEA, SCC, CYFRA 21-1 and NSE in patients with lung cancer. Anticancer Res, 25, 1773-8.
70 Nosov V, Su F, Amneus M, et al (2009). Validation of serum biomarkers for detection of early-stage ovarian cancer. Am J Obstet Gynecol, 200, 1-5.   DOI
71 Okamoto T, Nakamura T, Ikeda J, et al (2005). Serum carcinoembryonic antigen as a predictive marker for sensitivity to gefitinib in advanced non-small cell lung cancer. Eur J Cancer, 41, 1286-90.   DOI   ScienceOn
72 Marzinke MA, Choi CH, Chen L, et al (2013). Proteomic analysis of temporally stimulated ovarian cancer cells for biomarker discovery. Mol Cell Proteomics, 12, 356-68.   DOI
73 Okada M, Nishio W, Sakamoto T, et al (2004). Prognostic significance of perioperative serum carcinoembryonic antigen in non-small cell lung cancer: analysis of 1,000 consecutive resections for clinical stage I disease. Ann Thoracic Surg, 78, 216-21.   DOI
74 Panisko EA, Conrads TP, Goshe MB, et al (2002). The postgenomic age: characterization of proteomes. Exp Hematol, 30, 97-107.   DOI
75 Omenn GS, Menon R, Zhang Y (2013). Innovations in proteomic profiling of cancers: Alternative splice variants as a new class of cancer biomarker candidates and bridging of proteomics with structural biology. J Proteomics, 90, 28-37.   DOI
76 Pujol J-L, Boher J-M, Grenier J, et al (2001). Cyfra 21-1, neuron specific enolase and prognosis of non-small cell lung cancer: prospective study in 621 patients. Lung Cancer, 31, 221-31.   DOI   ScienceOn
77 Pollan M, Varela G, Torres A, et al (2003). Clinical value of p53, c-erbB-2, CEA and CA125 regarding relapse, metastasis and death in respectable non-small cell lung cancer. Int J Cancer, 107, 781-90.   DOI   ScienceOn
78 Pujol J-L, Quantin X, Jacot W, et al (2003). Neuroendocrine and cytokeratin serum markers as prognostic determinants of small cell lung cancer. Lung Cancer, 39, 131-8.   DOI
79 Polanski M, Anderson NL (2007). A list of candidate cancer biomarkers for targeted proteomics. Biomark Insights, 1, 1-48.
80 Pujol J, Molinier O, Ebert W, et al (2004). CYFRA 21-1 is a prognostic determinant in non-small-cell lung cancer: results of a meta-analysis in 2063 patients. Br J Cancer, 90, 2097-105.
81 Planque C, Kulasingam V, Smith CR, et al (2009). Identification of five candidate lung cancer biomarkers by proteomics analysis of conditioned media of four lung cancer cell lines. Mol Cell Proteomics, 8, 2746-58.   DOI   ScienceOn
82 Salgia R, Harpole D, Herndon 2nd J, et al (2000). Role of serum tumor markers CA 125 and CEA in non-small cell lung cancer. Anticancer Res, 21, 1241-6.
83 Pavlou MP, Diamandis EP (2010). The cancer cell secretome: a good source for discovering biomarkers? J Proteomics, 73, 1896-906.   DOI
84 Reinmuth N, Brandt B, Semik M, et al (2002). Prognostic impact of Cyfra21-1 and other serum markers in completely resected non-small cell lung cancer. Lung Cancer, 36, 265-70.   DOI   ScienceOn
85 Sun SS, Hsieh JF, Tsai SC, et al (2000). Cytokeratin fragment 19 and squamous cell carcinoma antigen for early prediction of recurrence of squamous cell lung carcinoma. Am J Clin Oncol, 23, 241-3.   DOI
86 Sun SS, Hsieh JF, Tsai SC, et al (2000). Tissue polypeptidespecific antigen and carcinoembryonic antigen for early prediction of recurrence in lung adenocarcinoma. Am J Clin Oncol, 23, 605-8.   DOI
87 Shibayama T, Ueoka H, Nishii K, et al (2001). Complementary roles of pro-gastrin-releasing peptide (ProGRP) and neuron specific enolase (NSE) in diagnosis and prognosis of smallcell lung cancer (SCLC). Lung Cancer, 32, 61-9.   DOI
88 Schneider J, Philipp M, Velcovsky HG, et al (2002). Progastrin-releasing peptide (ProGRP), neuron specific enolase (NSE), carcinoembryonic antigen (CEA) and cytokeratin 19-fragments (CYFRA 21-1) in patients with lung cancer in comparison to other lung diseases. Anticancer Res, 23, 885-93.
89 Schneider J, Philipp M, Salewski L, et al (2002). Pro-gastrinreleasing peptide (ProGRP) and neuron specific enolase (NSE) in therapy control of patients with small-cell lung cancer. Clin Lab, 49, 35-42.
90 Satoh H, Ishikawa H, Kurishima K, et al (2002). Cut-off levels of NSE to differentiate SCLC from NSCLC. Oncol Rep, 9, 581-3.
91 Sung HJ, Cho JY (2008). Biomarkers for the lung cancer diagnosis and their advances in proteomics. BMB Rep, 41, 615-25.   과학기술학회마을   DOI   ScienceOn
92 Sakao Y, Nakazono T, Sakuragi T, et al (2004). Predictive factors for survival in surgically resected clinical IA peripheral adenocarcinoma of the lung. Ann Thorac Surg, 77, 1157-61.   DOI
93 Schneider J (2006). Tumor markers in detection of lung cancer. Adv Clin Chem, 42, 1-41.   DOI
94 Schulz KR, Danna EA, Krutzik PO, et al(2007). Single-Cell Phospho-Protein analysis by flow cytometry. Curr Protoc Immunol. 8.17. 1-8.
95 Sohn J, Do K, Liu S, et al (2013). Functional proteomics characterization of residual triple-negative breast cancer after standard neoadjuvant chemotherapy. Ann Oncol, 24, 2522-6.   DOI
96 Tomita M, Matsuzaki Y, Edagawa M, et al (2004). Prognostic significance of preoperative serum carcinoembryonic antigen level in lung adenocarcinoma but not squamous cell carcinoma. Ann Thorac Cardiovas,10, 76-80.
97 Teng P, Wang G, Hood B, et al (2014). Identification of candidate circulating cisplatin-resistant biomarkers from epithelial ovarian carcinoma cell secretomes. Br J Cancer, 110, 123-32.   DOI
98 Taguchi A, Politi K, Pitteri SJ, et al (2011). Lung cancer signatures in plasma based on proteome profiling of mouse tumor models. Cancer Cell, 20, 289-99.   DOI
99 Tang HY, Beer LA, Tanyi JL, et al (2013). Protein isoformspecific validation defines multiple chloride intracellular channel and tropomyosin isoforms as serological biomarkers of ovarian cancer. J Proteomics, 89, 165-78.   DOI
100 Tang Y, Mackey J, Lai R, et al (2013). Quantitative proteomic analysis of HER2 normal and overexpressing MCF-7 breast cancer cells revealed proteomic changes accompanied with HER2 gene amplification. J Proteomics, 91, 200-9.   DOI
101 Van Simaeys D, Turek D, Champanhac C, et al (2014). Identification of cell membrane protein stress-induced phosphoprotein 1 as a potential ovarian cancer biomarker using aptamers selected by cell systematic evolution of ligands by exponential enrichment. Anal Chem, 86, 4521-7.   DOI
102 Tiss A, Timms J, Menon U, et al (2014). Proteomics approaches towards early detection and diagnosis of ovarian cancer. J Immunother Cancer, 2, 5.   DOI
103 Valentin L, Skoog L, Epstein E (2003). Frequency and type of adnexal lesions in autopsy material from postmenopausal women: ultrasound study with histological correlation. Ultrasound Obst Gyn, 22, 284-9.   DOI
104 Vollmer RT, Govindan R, Graziano SL, et al (2003). Serum CYFRA 21-1 in advanced stage non-small cell lung cancer: an early measure of response. Clin Cancer Res, 9, 1728-33.
105 Welsh JB, Sapinoso LM, Kern SG, et al (2003). Large-scale delineation of secreted protein biomarkers overexpressed in cancer tissue and serum. P Natl Acad Sci, 100, 3410-5.   DOI   ScienceOn
106 Wilkins MR, Sanchez J-C, 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, 13, 19-50.   DOI   ScienceOn
107 Wakeley KE, Grendys EC (2000). Reproductive technologies and risk of ovarian cancer. Curr Opin Obstet Gyn, 12, 43-7.   DOI
108 Wulfkuhle JD, Liotta LA, Petricoin EF (2003). Proteomic applications for the early detection of cancer. Nat Rev Cancer, 3, 267-75.   DOI   ScienceOn
109 Wu CC, Chien KY, Tsang NM, et al (2005). Cancer cell-secreted proteomes as a basis for searching potential tumor markers: nasopharyngeal carcinoma as a model. Proteomics, 5, 3173-82.   DOI   ScienceOn
110 Wolf-Yadlin A, Sevecka M, MacBeath G (2009). Dissecting protein function and signaling using protein microarrays. Curr Opin Chem Biol, 13, 398-405.   DOI
111 Li XJ, Wu QF, He DL, et al (2013). Proteomic profiling of serum from stage I lung squamous cell carcinoma patients. Asian Pac J Cancer Prev, 14, 4, 2273-6.   과학기술학회마을   DOI
112 Wu CC, Hsu CW, Chen CD, et al (2010). Candidate serological biomarkers for cancer identified from the secretomes of 23 cancer cell lines and the human protein atlas. Mol Cell Proteomics, 9, 1100-17.   DOI
113 Washam C, Byrum S, Leitzel K, et al (2011). P4-16-01: Proteomic analysis of patient plasma identifies parathyroid hormone related protein (PTHrP12-48) as a potential biomarker of breast cancer bone metastasis. Cancer Res, 71.