메뉴 건너뛰기




Volumn 4, Issue 6, 2006, Pages 1159-1179

Proteomic biomarker identification for diagnosis of early relapse in ovarian cancer

Author keywords

Biomarker; Markov blanket; Recurrent ovarian cancer; SELDI TOF; SVMMB RFE

Indexed keywords

BIOLOGICAL MARKER; PLATINUM;

EID: 33846495781     PISSN: 02197200     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219720006002399     Document Type: Article
Times cited : (20)

References (36)
  • 1
    • 0347625462 scopus 로고    scopus 로고
    • Status of tumor markers in ovarian cancer screening
    • Bast RC, Status of tumor markers in ovarian cancer screening, J Clin Oncol 21:200-205, 2003.
    • (2003) J Clin Oncol , vol.21 , pp. 200-205
    • Bast, R.C.1
  • 2
    • 33846511305 scopus 로고    scopus 로고
    • Serum proteomic profiling to predict early relapse in ovarian cancer
    • Knowles LM, Nandi A, Gurnani P et al., Serum proteomic profiling to predict early relapse in ovarian cancer, Gynecol Oncol 96:926, 2005.
    • (2005) Gynecol Oncol , vol.96 , pp. 926
    • Knowles, L.M.1    Nandi, A.2    Gurnani, P.3
  • 3
    • 0037862963 scopus 로고    scopus 로고
    • Paclitaxel plus platinum-based chemotherapy versus conventional platinum-based chemotherapy in women with relapsed ovarian cancer: The ICON4/AGO-OVAR-2.2 trial
    • Parmar MK, Ledermann JA, Colombo N et al., Paclitaxel plus platinum-based chemotherapy versus conventional platinum-based chemotherapy in women with relapsed ovarian cancer: The ICON4/ AGO-OVAR-2.2 trial, Lancet 361:2099-2106, 2003.
    • (2003) Lancet , vol.361 , pp. 2099-2106
    • Parmar, M.K.1    Ledermann, J.A.2    Colombo, N.3
  • 4
    • 11144254100 scopus 로고    scopus 로고
    • Quantifying reproducibility for differential proteomics: Noise analysis for protein liquid chromatography-mass spectrometry of human serum
    • Anderle M, Roy S, Lin H et al., Quantifying reproducibility for differential proteomics: Noise analysis for protein liquid chromatography-mass spectrometry of human serum, Bioinformatics 20:3575-3582, 2004.
    • (2004) Bioinformatics , vol.20 , pp. 3575-3582
    • Anderle, M.1    Roy, S.2    Lin, H.3
  • 5
    • 0036324715 scopus 로고    scopus 로고
    • Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer
    • Li J, Zhang Z, Rosenzweig J et al., Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer, Clin Chem 48:1296-1304, 2002.
    • (2002) Clin Chem , vol.48 , pp. 1296-1304
    • Li, J.1    Zhang, Z.2    Rosenzweig, J.3
  • 7
    • 0034828488 scopus 로고    scopus 로고
    • Proteomics in early detection of cancer
    • Srinivas PR, Srivastava S, Hanash S et al., Proteomics in early detection of cancer, Clin Chem 47:1901-1911, 2001.
    • (2001) Clin Chem , vol.47 , pp. 1901-1911
    • Srinivas, P.R.1    Srivastava, S.2    Hanash, S.3
  • 8
    • 0038662530 scopus 로고    scopus 로고
    • Proteomic applications for the early detection of cancer
    • Wulfkuhle JD, Liotta LA, Petricoin EF, Proteomic applications for the early detection of cancer, Nat Rev Cancer 3:267-275, 2003.
    • (2003) Nat Rev Cancer , vol.3 , pp. 267-275
    • Wulfkuhle, J.D.1    Liotta, L.A.2    Petricoin, E.F.3
  • 9
    • 0037116832 scopus 로고    scopus 로고
    • Use of proteomic patterns in serum to identify ovarian cancer
    • Petricoin EF, Ardekani AM, Hitt BA et al., Use of proteomic patterns in serum to identify ovarian cancer, Lancet 359:572-577, 2002.
    • (2002) Lancet , vol.359 , pp. 572-577
    • Petricoin, E.F.1    Ardekani, A.M.2    Hitt, B.A.3
  • 10
    • 0036791428 scopus 로고    scopus 로고
    • Boosted decision tree analysis of surface-enhanced laser desorption/ionization mass spectral serum profiles discriminates prostate cancer from noncancer patients
    • Qu Y, Adam BL, Yasui Y et al., Boosted decision tree analysis of surface-enhanced laser desorption/ionization mass spectral serum profiles discriminates prostate cancer from noncancer patients, Clin Chem 48:1835-1843, 2002.
    • (2002) Clin Chem , vol.48 , pp. 1835-1843
    • Qu, Y.1    Adam, B.L.2    Yasui, Y.3
  • 11
    • 0742269626 scopus 로고    scopus 로고
    • Probabilistic disease classification of expression-dependent proteomic data from mass spectrometry of human serum
    • Lilien RH, Farid H, Donald BR, Probabilistic disease classification of expression-dependent proteomic data from mass spectrometry of human serum, J Comput Biol 10(6):925-946, 2003.
    • (2003) J Comput Biol , vol.10 , Issue.6 , pp. 925-946
    • Lilien, R.H.1    Farid, H.2    Donald, B.R.3
  • 12
    • 0141743613 scopus 로고    scopus 로고
    • Machine learning approaches to lung cancer prediction from mass spectra
    • Hilario M, Kalousis A, Muller M et al., Machine learning approaches to lung cancer prediction from mass spectra, Proteomics 3:1716-1719, 2003.
    • (2003) Proteomics , vol.3 , pp. 1716-1719
    • Hilario, M.1    Kalousis, A.2    Muller, M.3
  • 13
    • 0347362474 scopus 로고    scopus 로고
    • SELDI ProteinChip® array technology: Protein-based predictive medicine and drug discovery applications
    • Reddy G, Dalmasso EA, SELDI ProteinChip® array technology: Protein-based predictive medicine and drug discovery applications, J Biomed Biotechnol 2003(4):237-241, 2003.
    • (2003) J Biomed Biotechnol , vol.2003 , Issue.4 , pp. 237-241
    • Reddy, G.1    Dalmasso, E.A.2
  • 14
    • 0036855519 scopus 로고    scopus 로고
    • SELDI proteinchip MS: A platform for biomarker discovery and cancer diagnosis
    • Wright GL Jr., SELDI proteinchip MS: A platform for biomarker discovery and cancer diagnosis, Expert Rev Mol Diagn 2(6):549-563, 2002.
    • (2002) Expert Rev Mol Diagn , vol.2 , Issue.6 , pp. 549-563
    • Wright Jr., G.L.1
  • 15
    • 3543076921 scopus 로고    scopus 로고
    • Application of the GA/KNN method to SELDI proteomics data
    • Li L, Umbach DM, Terry P et al., Application of the GA/KNN method to SELDI proteomics data, Bioinformatics 20:1638-1640, 2004.
    • (2004) Bioinformatics , vol.20 , pp. 1638-1640
    • Li, L.1    Umbach, D.M.2    Terry, P.3
  • 16
    • 0036645099 scopus 로고    scopus 로고
    • Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men
    • Adam BL, Qu Y, Davis JW et al., Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men, Cancer Res 62:3609-3614, 2002.
    • (2002) Cancer Res , vol.62 , pp. 3609-3614
    • Adam, B.L.1    Qu, Y.2    Davis, J.W.3
  • 17
    • 0942265518 scopus 로고    scopus 로고
    • Diagnosis of ovarian cancer using decision tree classification of mass spectral data
    • Vlahou A, Schorge JO, Gregory BW et al., Diagnosis of ovarian cancer using decision tree classification of mass spectral data, J Biomed Biotechnol 5:308-314, 2003.
    • (2003) J Biomed Biotechnol , vol.5 , pp. 308-314
    • Vlahou, A.1    Schorge, J.O.2    Gregory, B.W.3
  • 18
    • 18344396961 scopus 로고    scopus 로고
    • An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumors and rapid identification of potential biomarkers
    • Ball G, Mian S, Holding F et al., An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumors and rapid identification of potential biomarkers, Bioinformatics 18:395-404, 2002.
    • (2002) Bioinformatics , vol.18 , pp. 395-404
    • Ball, G.1    Mian, S.2    Holding, F.3
  • 19
    • 0141738784 scopus 로고    scopus 로고
    • Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data
    • Wu B, Abbott T, Fishman D et al., Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data, Bioinformatics 19:1636-1643, 2003.
    • (2003) Bioinformatics , vol.19 , pp. 1636-1643
    • Wu, B.1    Abbott, T.2    Fishman, D.3
  • 20
    • 0033636139 scopus 로고    scopus 로고
    • Support vector machine classification and validation of cancer tissue samples using microarray expression data
    • Furey TS, Cristianini N, Duffy N et al., Support vector machine classification and validation of cancer tissue samples using microarray expression data, Bioinformatics 16:906-914, 2000.
    • (2000) Bioinformatics , vol.16 , pp. 906-914
    • Furey, T.S.1    Cristianini, N.2    Duffy, N.3
  • 21
  • 22
    • 0035224384 scopus 로고    scopus 로고
    • Feature selection for DNA methylation based cancer classification
    • Model F, Adorjan P, Olek A et al., Feature selection for DNA methylation based cancer classification, Bioinformatics 17:S157-S164, 2001.
    • (2001) Bioinformatics , vol.17
    • Model, F.1    Adorjan, P.2    Olek, A.3
  • 23
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon I, Weston J, Barnhill S et al., Gene selection for cancer classification using support vector machines, Machine Learning 46:389-422, 2002.
    • (2002) Machine Learning , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3
  • 24
    • 45749090298 scopus 로고    scopus 로고
    • SVM-RFE peak selection for cancer classification with mass spectrometry data
    • Duan K, Rajapakse JC, SVM-RFE peak selection for cancer classification with mass spectrometry data, Proc 3rd Asia-Pacific Bioinf Conf, pp. 191-200, 2005.
    • (2005) Proc 3rd Asia-Pacific Bioinf Conf , pp. 191-200
    • Duan, K.1    Rajapakse, J.C.2
  • 27
    • 24744455665 scopus 로고    scopus 로고
    • Automatic quality assessment of peptide tandem mass spectra
    • Bern M, Goldberg D, McDonald WH et al., Automatic quality assessment of peptide tandem mass spectra, Bioinformatics 20:i49-i54, 2004.
    • (2004) Bioinformatics , vol.20
    • Bern, M.1    Goldberg, D.2    McDonald, W.H.3
  • 28
    • 27144489164 scopus 로고    scopus 로고
    • A Tutorial on support vector Machines for pattern recognition
    • Burges CJC, A Tutorial on support vector Machines for pattern recognition, Data Mining Knowledge Discov 2:121-167, 1998.
    • (1998) Data Mining Knowledge Discov , vol.2 , pp. 121-167
    • Burges, C.J.C.1
  • 29
    • 0345166891 scopus 로고    scopus 로고
    • Detection of cancer-specific markers amid massive mass spectral data
    • Zhu W, Wang X, Ma Y et al., Detection of cancer-specific markers amid massive mass spectral data, Proc Nat Acad Sci 100:14666-14671, 2003.
    • (2003) Proc Nat Acad Sci , vol.100 , pp. 14666-14671
    • Zhu, W.1    Wang, X.2    Ma, Y.3
  • 30
    • 0000959484 scopus 로고    scopus 로고
    • CLIFF: Clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts
    • Xing EP, Karp RM, CLIFF: Clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts, Bioinformatics 17:S306-S315, 2001.
    • (2001) Bioinformatics , vol.17
    • Xing, E.P.1    Karp, R.M.2
  • 31
    • 0002593344 scopus 로고
    • Multi-interval discretization of continuous-valued attributes for classification learning
    • Fayyad U, Irani K, Multi-interval discretization of continuous-valued attributes for classification learning, Proc 13th Intl Joint Conf Artif Intell, pp. 1022-1029, 1993.
    • (1993) Proc 13th Intl Joint Conf Artif Intell , pp. 1022-1029
    • Fayyad, U.1    Irani, K.2
  • 32
    • 0002714543 scopus 로고    scopus 로고
    • Making Large-Scale SVM Learning Practical
    • in: Schölkopf B, Burges C, Smola A (eds.), MIT-Press
    • Joachims T, Making Large-Scale SVM Learning Practical, in: Schölkopf B, Burges C, Smola A (eds.), Advances in Kernel Methods - Support Vector Learning, MIT-Press, 1999.
    • (1999) Advances in Kernel Methods - Support Vector Learning
    • Joachims, T.1
  • 33


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.