메뉴 건너뛰기




Volumn 137, Issue 5, 2012, Pages 805-814

B cells with high side scatter parameter by flow cytometry correlate with inferior survival in diffuse large B-cell lymphoma

Author keywords

Diffuse large B cell lymphoma; Flow cytometry; Lymphoma; Side scatter; Survival

Indexed keywords

ADULT; AGED; ARTICLE; B LYMPHOCYTE; CANCER RELAPSE; CANCER SURVIVAL; CONTROLLED STUDY; FEMALE; FLOW CYTOMETRY; HUMAN; HUMAN CELL; LARGE CELL LYMPHOMA; MAJOR CLINICAL STUDY; MALE; OVERALL SURVIVAL; PARAMETERS; PRIORITY JOURNAL; PROGRESSION FREE SURVIVAL; SIDE SCATTER; DISEASE FREE SURVIVAL; IMMUNOLOGY; IMMUNOPHENOTYPING; MIDDLE AGED; MORTALITY; PATHOLOGY; PROGNOSIS; SURVIVAL RATE; TREATMENT OUTCOME;

EID: 84862598238     PISSN: 00029173     EISSN: 19437722     Source Type: Journal    
DOI: 10.1309/AJCPGR8BG4JDVOWR     Document Type: Article
Times cited : (10)

References (45)
  • 3
    • 0000102423 scopus 로고
    • Diffuse large cell lymphomas of B and T cell type
    • Baltimore, MD: Williams & Wilkins
    • Stein H, Dallenbach F. Diffuse large cell lymphomas of B and T cell type. Neoplastic Hematopathology. Baltimore, MD: Williams & Wilkins; 1992:675-714.
    • (1992) Neoplastic Hematopathology , pp. 675-714
    • Stein, H.1    Dallenbach, F.2
  • 7
    • 0027444652 scopus 로고
    • A predictive model for aggressive non-Hodgkin's lymphoma
    • The International Non-Hodgkin's Lymphoma Prognostic Factors Project
    • The International Non-Hodgkin's Lymphoma Prognostic Factors Project. A predictive model for aggressive non-Hodgkin's lymphoma. N Engl J Med. 1993;329:987-994.
    • (1993) N Engl J Med , vol.329 , pp. 987-994
  • 9
    • 0035883063 scopus 로고    scopus 로고
    • Expression of a single gene, BCL-6, strongly predicts survival in patients with diffuse large B-cell lymphoma
    • Lossos IS, Jones CD, Warnke R, et al. Expression of a single gene, BCL-6, strongly predicts survival in patients with diffuse large B-cell lymphoma. Blood. 2001;98:945-951.
    • (2001) Blood , vol.98 , pp. 945-951
    • Lossos, I.S.1    Jones, C.D.2    Warnke, R.3
  • 14
    • 61449156367 scopus 로고    scopus 로고
    • Immunohistochemical prognostic markers in diffuse large B-cell lymphoma: Validation of tissue microarray as a prerequisite for broad clinical applications (a study from the Lunenburg Lymphoma Biomarker Consortium)
    • De Jong D, Xie W, Rosenwald A, et al. Immunohistochemical prognostic markers in diffuse large B-cell lymphoma: validation of tissue microarray as a prerequisite for broad clinical applications (a study from the Lunenburg Lymphoma Biomarker Consortium). J Clin Pathol. 2009;62:128-138.
    • (2009) J Clin Pathol , vol.62 , pp. 128-138
    • De Jong, D.1    Xie, W.2    Rosenwald, A.3
  • 15
    • 65549126032 scopus 로고    scopus 로고
    • Diffuse large B-cell lymphoma: Reduced CD20 expression is associated with an inferior survival
    • Johnson NA, Boyle M, Bashashati A, et al. Diffuse large B-cell lymphoma: reduced CD20 expression is associated with an inferior survival. Blood. 2009;113:3773-3780.
    • (2009) Blood , vol.113 , pp. 3773-3780
    • Johnson, N.A.1    Boyle, M.2    Bashashati, A.3
  • 16
    • 30744438321 scopus 로고    scopus 로고
    • Biomarkers of potential prognostic significance in diffuse large B-cell lymphoma
    • DOI 10.1002/cncr.21586
    • Wu G, Keating A. Biomarkers of potential prognostic significance in diffuse large B-cell lymphoma. Cancer. 2006;106:247-257. (Pubitemid 43100431)
    • (2006) Cancer , vol.106 , Issue.2 , pp. 247-257
    • Wu, G.1    Keating, A.2
  • 17
    • 1542619411 scopus 로고    scopus 로고
    • DNA Histogram Analysis for Node-Negative Breast Cancer
    • Bagwell CB. DNA histogram analysis for node-negative breast cancer. Cytometry A. 2004;58:76-78. (Pubitemid 38337834)
    • (2004) Cytometry Part A , vol.58 , Issue.1 , pp. 76-78
    • Bagwell, C.B.1
  • 18
    • 0001202992 scopus 로고    scopus 로고
    • Flow cytometric analysis of cytokines
    • Rose NR, Hamilton RG, Detrick B, eds. 6th ed. Washington, DC: ASM Press
    • Maecker H, Maino V. Flow cytometric analysis of cytokines. In: Rose NR, Hamilton RG, Detrick B, eds. Manual of Clinical Laboratory Immunology. 6th ed. Washington, DC: ASM Press; 2002:338-346.
    • (2002) Manual of Clinical Laboratory Immunology , pp. 338-346
    • Maecker, H.1    Maino, V.2
  • 19
    • 0035450135 scopus 로고    scopus 로고
    • Frequency difference gating: A multivariate method for identifying subsets that differ between samples
    • DOI 10.1002/1097-0320(20010901)45:1<56::AID-CYTO1144>3.0.CO;2-9
    • Roederer M, Hardy RR. Frequency difference gating: a multivariate method for identifying subsets that differ between samples. Cytometry. 2001;45:56-64. (Pubitemid 32807924)
    • (2001) Cytometry , vol.45 , Issue.1 , pp. 56-64
    • Roederer, M.1    Hardy, R.R.2
  • 20
    • 0346014707 scopus 로고    scopus 로고
    • Performance of plate-based cytokine flow cytometry with automated data analysis
    • doi:10.1186/1471-2172-4-9
    • Suni MA, Dunn HS, Orr PL, et al. Performance of plate-based cytokine flow cytometry with automated data analysis. BMC Immunol. 2003;4:9. doi:10.1186/1471-2172-4-9.
    • (2003) BMC Immunol , vol.4 , pp. 9
    • Suni, M.A.1    Dunn, H.S.2    Orr, P.L.3
  • 22
    • 0036792398 scopus 로고    scopus 로고
    • The history and future of the fluorescence activated cell sorter and flow cytometry: A view from Stanford
    • Herzenberg LA, Parks D, Sahaf B, et al. The history and future of the fluorescence activated cell sorter and flow cytometry: a view from Stanford. Clin Chem. 2002;48:1819-1827.
    • (2002) Clin Chem , vol.48 , pp. 1819-1827
    • Herzenberg, L.A.1    Parks, D.2    Sahaf, B.3
  • 23
    • 0023691938 scopus 로고
    • Modified histogram subtraction technique for analysis of flow cytometry data
    • DOI 10.1002/cyto.990090617
    • Overton WR. Modified histogram subtraction technique for analysis of flow cytometry data. Cytometry. 1988;9:619-626. (Pubitemid 18264743)
    • (1988) Cytometry , vol.9 , Issue.6 , pp. 619-626
    • Overton, W.R.1
  • 24
    • 0035503984 scopus 로고    scopus 로고
    • Spectral compensation for flow cytometry: Visualization artifacts, limitations, and caveats
    • DOI 10.1002/1097-0320(20011101)45:3<194::AID-CYTO1163>3.0.CO;2-C
    • Roederer M. Spectral compensation for flow cytometry: visualization artifacts, limitations, and caveats. Cytometry. 2001;45:194-205. (Pubitemid 33064141)
    • (2001) Cytometry , vol.45 , Issue.3 , pp. 194-205
    • Roederer, M.1
  • 25
    • 1642463417 scopus 로고    scopus 로고
    • Analysis of protein phosphorylation and cellular signaling events by flow cytometry: Techniques and clinical applications
    • DOI 10.1016/j.clim.2003.11.009, PII S1521661603003097
    • Krutzik PO, Irish JM, Nolan GP, et al. Analysis of protein phosphorylation and cellular signaling events by flow cytometry: techniques and clinical applications. Clin Immunol. 2004;110:206-221. (Pubitemid 38402001)
    • (2004) Clinical Immunology , vol.110 , Issue.3 , pp. 206-221
    • Krutzik, P.O.1    Irish, J.M.2    Nolan, G.P.3    Perez, O.D.4
  • 26
    • 0037234069 scopus 로고    scopus 로고
    • Beyond six colors: A new era in flow cytometry
    • DOI 10.1038/nm0103-112
    • De Rosa SC, Brenchley JM, Roederer M. Beyond six colors: a new era in flow cytometry. Nat Med. 2003;9:112-117. (Pubitemid 36098271)
    • (2003) Nature Medicine , vol.9 , Issue.1 , pp. 112-117
    • De Rosa, S.C.1    Brenchley, J.M.2    Roederer, M.3
  • 27
    • 3543069879 scopus 로고    scopus 로고
    • Seventeen-colour flow cytometry: Unravelling the immune system
    • Perfetto SP, Chattopadhyay PK, Roederer M. Seventeen-colour flow cytometry: unravelling the immune system. Nature Reviews Immunology. 2004;4:648-655. (Pubitemid 39025050)
    • (2004) Nature Reviews Immunology , vol.4 , Issue.8 , pp. 648-655
    • Perfetto, S.P.1    Chattopadhyay, P.K.2    Roederer, M.3
  • 28
    • 77954270805 scopus 로고    scopus 로고
    • A survey of flow cytometry data analysis methods
    • doi:10.1155/2009/584603
    • Bashashati A, Brinkman R. A survey of flow cytometry data analysis methods. Adv Bioinformatics. 2009:584603. doi:10.1155/2009/584603.
    • (2009) Adv Bioinformatics , pp. 584603
    • Bashashati, A.1    Brinkman, R.2
  • 31
    • 42049123647 scopus 로고    scopus 로고
    • Automated gating of flow cytometry data via robust model-based clustering
    • DOI 10.1002/cyto.a.20531
    • Lo K, Brinkman RR, Gottardo R. Automated gating of flow cytometry data via robust model-based clustering. Cytometry A. 2008;73:321-332. (Pubitemid 351522115)
    • (2008) Cytometry Part A , vol.73 , Issue.4 , pp. 321-332
    • Lo, K.1    Brinkman, R.R.2    Gottardo, R.3
  • 32
    • 85161148381 scopus 로고    scopus 로고
    • The elements of statistical learning: Data mining, inference and prediction
    • Hastie T, Tibshirani R, Friedman J, et al. The elements of statistical learning: data mining, inference and prediction. Mathematical Intelligencer. 2005;27:83-85.
    • (2005) Mathematical Intelligencer , vol.27 , pp. 83-85
    • Hastie, T.1    Tibshirani, R.2    Friedman, J.3
  • 33
    • 65949097067 scopus 로고    scopus 로고
    • FlowCore: A Bioconductor package for high throughput flow cytometry
    • doi:10.1186/1471-2105-10-106
    • Hahne F, Meur NL, Brinkman R, et al. flowCore: a Bioconductor package for high throughput flow cytometry. BMC Bioinformatics. 2009;10:106. doi:10.1186/1471-2105-10-106.
    • (2009) BMC Bioinformatics , vol.10 , pp. 106
    • Hahne, F.1    Meur, N.L.2    Brinkman, R.3
  • 34
    • 12344280017 scopus 로고    scopus 로고
    • Summaries of Affymetrix GeneChip probe level data
    • doi:10.1093/nar/gng015
    • Irizarry RA, Bolstad BM, Collin F, et al. Summaries of Affymetrix GeneChip probe level data. Nucleic Acids Res. 2003;31:e15. doi:10.1093/nar/ gng015.
    • (2003) Nucleic Acids Res , vol.31
    • Irizarry, R.A.1    Bolstad, B.M.2    Collin, F.3
  • 35
    • 0037316303 scopus 로고    scopus 로고
    • A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
    • DOI 10.1093/bioinformatics/19.2.185
    • Bolstad B, Irizarry R, Astrand M, et al. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics. 2003;19:185-193. (Pubitemid 36181903)
    • (2003) Bioinformatics , vol.19 , Issue.2 , pp. 185-193
    • Bolstad, B.M.1    Irizarry, R.A.2    Astrand, M.3    Speed, T.P.4
  • 36
    • 28744458859 scopus 로고    scopus 로고
    • Bioconductor: Open software development for computational biology and bioinformatics
    • doi:10.1186/gb-2004-5-10-r80
    • Gentleman RC, Carey VJ, Bates DM, et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 2004;5:R80. doi:10.1186/gb-2004-5-10-r80.
    • (2004) Genome Biol , vol.5
    • Gentleman, R.C.1    Carey, V.J.2    Bates, D.M.3
  • 37
    • 4544341015 scopus 로고    scopus 로고
    • Linear models and empirical Bayes methods for assessing differential expression in microarray experiments
    • article 3. doi:10.2202/1544-6115.1027
    • Smyth GK. Linear models and empirical Bayes methods for assessing differential expression in microarray experiments. Stat Appl Genet Mol Biol. 2004;3:article 3. doi:10.2202/1544-6115.1027.
    • (2004) Stat Appl Genet Mol Biol , vol.3
    • Smyth, G.K.1
  • 40
    • 0345832338 scopus 로고    scopus 로고
    • A global test for groups fo genes: Testing association with a clinical outcome
    • DOI 10.1093/bioinformatics/btg382
    • Goeman JJ, van De Geer SA, De Kort F, et al. A global test for groups of genes: testing association with a clinical outcome. Bioinformatics. 2004;20:93-99. (Pubitemid 38088346)
    • (2004) Bioinformatics , vol.20 , Issue.1 , pp. 93-99
    • Goeman, J.J.1    Van De, G.S.2    De Kort, F.3    Van Houwellingen, H.C.4
  • 41
    • 33845382806 scopus 로고
    • Nonparametric estimation from incomplete observations
    • Kaplan E, Meier P. Nonparametric estimation from incomplete observations. J Am Stat Assoc. 1958;53:457-481.
    • (1958) J Am Stat Assoc , vol.53 , pp. 457-481
    • Kaplan, E.1    Meier, P.2
  • 42
    • 0000336139 scopus 로고
    • Regression models and life-tables
    • Cox D. Regression models and life-tables. J R Stat Soc Series B (Methodol). 1972;34:187-220.
    • (1972) J R Stat Soc Series B (Methodol) , vol.34 , pp. 187-220
    • Cox, D.1
  • 43
    • 48749114483 scopus 로고    scopus 로고
    • The prevention of spontaneous apoptosis of follicular lymphoma B cells by a follicular dendritic cell line: Involvement of caspase-3, caspase-8 and c-FLIP
    • Goval JJ, Thielen C, Bourguignon C, et al. The prevention of spontaneous apoptosis of follicular lymphoma B cells by a follicular dendritic cell line: involvement of caspase-3, caspase-8 and c-FLIP. Haematologica. 2008;93:1169-1177.
    • (2008) Haematologica , vol.93 , pp. 1169-1177
    • Goval, J.J.1    Thielen, C.2    Bourguignon, C.3
  • 44
    • 43249107590 scopus 로고    scopus 로고
    • Rational design of therapeutics targeting the BCL-2 family: Are some cancer cells primed for death but waiting for a final push?
    • Khosravi-Far R, White E, eds. Programmed Cell Death in Cancer Progression and Therapy
    • Del Gaizo Moore V, Letai A. Rational design of therapeutics targeting the BCL-2 family: are some cancer cells primed for death but waiting for a final push? In: Khosravi-Far R, White E, eds. Programmed Cell Death in Cancer Progression and Therapy. 2007:159-175. Advances in Experimental Medicine and Biology; Vol 615.
    • (2007) Advances in Experimental Medicine and Biology , vol.615 , pp. 159-175
    • Del Gaizo Moore, V.1    Letai, A.2
  • 45
    • 57149089307 scopus 로고    scopus 로고
    • Stromal gene signatures in large-B-cell lymphomas
    • Lenz G, Wright G, Dave S, et al. Stromal gene signatures in large-B-cell lymphomas. N Engl J Med. 2008;359:2313-2323.
    • (2008) N Engl J Med , vol.359 , pp. 2313-2323
    • Lenz, G.1    Wright, G.2    Dave, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.