|
1
|
Swerdlow SH, Campo E, Harris NL, Jaffe ES,
Pileri SA, Stein H, Thiele J and Vardiman JW (eds): Introduction
and overview of the classification of the lymphoid neoplasms. In:
WHO Classification of Tumours of Haematopoietic and Lymphoid
Tissues. 4th edition. IARC, Lyon. pp190–198. 2017.
|
|
2
|
Craig FE: Flow cytometric evaluation of
B-cell lymphoid neoplasms. Clin Lab Med. 27:487–512, vi.
2007.PubMed/NCBI View Article : Google Scholar
|
|
3
|
Craig FE and Foon KA: Flow cytometric
immunophenotyping for hematologic neoplasms. Blood. 111:3941–3967.
2008.PubMed/NCBI View Article : Google Scholar
|
|
4
|
Stetler-Stevenson M: Flow cytometry in
lymphoma diagnosis and prognosis: Useful? Best Pract Res Clin
Haematol. 16:583–597. 2003.PubMed/NCBI View Article : Google Scholar
|
|
5
|
Matutes E, Owusu-Ankomah K, Morilla R,
Garcia Marco J, Houlihan A, Que TH and Catovsky D: The
immunological profile of B-cell disorders and proposal of a scoring
system for the diagnosis of CLL. Leukemia. 8:1640–1645.
1994.PubMed/NCBI
|
|
6
|
Kroft SH: Uncovering clinically relevant
phenotypic variations in malignancies: CD23 in mantle cell
lymphoma. Am J Clin Pathol. 130:159–161. 2008.PubMed/NCBI View Article : Google Scholar
|
|
7
|
Sánchez ML, Almeida J, Vidriales B,
López-Berges MC, García-Marcos MA, Moro MJ, Corrales A, Calmuntia
MJ, San Miguel JF and Orfao A: Incidence of phenotypic aberrations
in a series of 467 patients with B chronic lymphoproliferative
disorders: Basis for the design of specific four-color staining to
be used for minimal residual disease investigation. Leukemia.
16:1460–1469. 2002.PubMed/NCBI View Article : Google Scholar
|
|
8
|
Baseggio L, Traverse-Glehen A, Petinataud
F, Callet-Bauchu E, Berger F, Ffrench M, Couris CM, Thieblemont C,
Morel D, Coiffier B, et al: CD5 expression identifies a subset of
splenic marginal zone lymphomas with higher lymphocytosis: A
clinico-pathological, cytogenetic and molecular study of 24 cases.
Haematologica. 95:604–612. 2010.PubMed/NCBI View Article : Google Scholar
|
|
9
|
Asplund SL, McKenna RW, Doolittle JE and
Kroft SH: CD5-positive B-cell neoplasms of indeterminate
immunophenotype: A clinicopathologic analysis of 26 cases. Appl
Immunohistochem Mol Morphol. 13:311–317. 2005.PubMed/NCBI View Article : Google Scholar
|
|
10
|
Dronca RS, Jevremovic D, Hanson CA, Rabe
KG, Shanafelt TD, Morice WG, Call TG, Kay NE, Collins CS, Schwager
SM, et al: CD5- positive chronic B-cell lymphoproliferative
disorders: Diagnosis and prognosis of a heterogeneous disease
entity. Cytometry B Clin Cytom. 78 (Suppl 1):S35–S41.
2010.PubMed/NCBI View Article : Google Scholar
|
|
11
|
Del Giudice I, Matutes E, Morilla R,
Morilla A, Owusu-Ankomah K, Rafiq F, A'Hern R, Delgado J,
Bazerbashi MB and Catovsky D: The diagnostic value of CD123 in
B-cell disorders with hairy or villous lymphocytes. Haematologica.
89:303–308. 2004.PubMed/NCBI
|
|
12
|
Stetler-Stevenson M and Tembhare PR:
Diagnosis of hairy cell leukemia by flow cytometry. Leuk Lymphoma.
52 (Suppl 2):S11–S13. 2011.PubMed/NCBI View Article : Google Scholar
|
|
13
|
Brunetti L, Di Noto R, Abate G, Gorrese M,
Gravetti A, Raia M, Scalia G, Pascariello C, Camera A and Del
Vecchio L: CD 200/OX2, a cell surface molecule with
immune-regulatory function, is consistently expressed on hairy cell
leukemia neoplastic cells. Br J Haematol. 145:665–678.
2009.PubMed/NCBI View Article : Google Scholar
|
|
14
|
Tonks A, Hills R, Whitw P, Roise B, Mils
KI, Birnett AK and Darley RL: CD200 as a prognostic factor in acute
myeloid leukemia. Leukemia. 21:566–568. 2007.PubMed/NCBI View Article : Google Scholar
|
|
15
|
Moreaux J, Hose D, Reme T, Jourdan E,
Hyndemer M, Legouffe E, Moine P, Bourin P, Moos M, Corre J, et al:
CD 200 is a new prognostic factor in multiple myeloma. Blood.
108:4194–4197. 2006.PubMed/NCBI View Article : Google Scholar
|
|
16
|
Sandes AF, de Lourdes Chauffaille M,
Oliveria CR, Maekawa Y, Tamashro N, Takao TT, Ritter EC and
Rizzatti EG: CD 200 has an important role in the differential
diagnosis of mature B-cell neoplasms by multiparameter flow
cytometry. Cytometry B Clin Cytom. 86:98–105. 2014.PubMed/NCBI View Article : Google Scholar
|
|
17
|
Pillai V, Pozdnyakova O, Charest K, Li B,
Shahsafaei A and Dorfman DM: CD200 flow cytometric assessment and
semiquantitative immunohistochemical staining distinguishes hairy
cell leukemia from hairy cell leukemia-variant and other B-cell
lymphoproliferative disorders. Am J Clin Pathol. 140:536–543.
2013.PubMed/NCBI View Article : Google Scholar
|
|
18
|
Miguet L, Béchade G, Fornecker L, Zink E,
Felden C, Gervais C, Herbrecht R, Van Dorsselaer A, Mauvieux L and
Sanglier-Cianferani S: Proteomic analysis of malignant B-cell
derived microparticles reveals CD148 as a potentially useful
antigenic biomarker for mantle cell lymphoma diagnosis. J Proteome
Res. 8:3346–3354. 2009.PubMed/NCBI View Article : Google Scholar
|
|
19
|
Liu FT, Giustiniani J, Farren T, Jia L,
Bensussan A, Gribben JG and Agrawal SG: CD160 signaling mediates
PI3K-dependent survival and growth signals in chronic lymphocytic
leukemia. Blood. 115:3079–3088. 2010.PubMed/NCBI View Article : Google Scholar
|
|
20
|
Shultz EK: Multivariate receiver-operating
characteristic curve analysis: Prostate cancer screening as an
example. Clin Chem. 41:1248–1255. 1995.PubMed/NCBI
|
|
21
|
Sommer C and Girlish DW: Machine learning
in cell biology-teaching computers to recognize phenotypes. J Cell
Sci. 126:5529–5539. 2013.PubMed/NCBI View Article : Google Scholar
|
|
22
|
Nayak J, Naik B and Behera HS: A
comprehensive survey on support vector machine in data mining
tasks: Applications & challenges. Int J Database Theory Appl.
8:169–186. 2015. View Article : Google Scholar
|
|
23
|
Jones CM and Athanasiou T: Summary
receiver operating characteristic curve analysis techniques in the
evaluation of diagnostic tests. Ann Thorac Surg. 79:16–20.
2005.PubMed/NCBI View Article : Google Scholar
|
|
24
|
Fan J, Upadhye S and Worster A:
Understanding receiver operating characteristic (ROC) curves. CJEM.
8:19–20. 2006.PubMed/NCBI
|
|
25
|
DeLong ER, DeLong DM and Clarke-Pearson
DL: Comparing the areas under two or more correlated receiver
operating characteristic curves: A nonparametric approach.
Biometrics. 44:837–845. 1988.PubMed/NCBI
|
|
26
|
Chang CC and Lin CJ: LIBSVM: A Library for
Support Vector Machines. ACM Transactions on Intelligent Systems
and Technology. 2(27): 1–27, 27. 2011. View Article : Google Scholar : http://www.csie.ntu.edu.tw/~cjlin/libsvm.
|
|
27
|
Palumbo GA, Parrinello N, Fargione G,
Csrdillo K, Chiarenza A, Berretta S, Conticello C, Villari L and Di
Raimondo F: CD200 expression may help in differential diagnosis
between mantle cell lymphoma and B-cell chronic lymphocytic
leukemia. Leuk Res. 33:1212–1216. 2009.PubMed/NCBI View Article : Google Scholar
|
|
28
|
Challagundla P, Medeiros LJ,
Kanagal-Shamanna R, Miranda RN and Jorgensen JL: Differential
expression of CD 200 in B-cell neoplasms by flow cytometry can
assist in diagnosis, sub classification and bone marrow staging. Am
J Clin Pathol. 142:837–844. 2014.PubMed/NCBI View Article : Google Scholar
|
|
29
|
Fan L, Miao Y, Wu YJ, Wang Y, Guo R, Wang
L, Shen AL, Chen YY, Xu W and Li JY: Expression patterns of CD200
and CD148 in leukemic B-cell chronic lymphoproliferative disorders
and their potential value in differential diagnosis. Leuk Lymphoma.
56:3329–3335. 2015.PubMed/NCBI View Article : Google Scholar
|
|
30
|
Lesesve JF, Tardy S, Frotscher B,
Latger-Cannard V, Feugier P and De Carvalho Bittencourt M:
Combination of CD160 and CD200 as a useful tool for differential
diagnosis between chronic lymphocytic leukemia and other mature
B-cell neoplasms. Int J Lab Hematol. 37:486–494. 2015.PubMed/NCBI View Article : Google Scholar
|
|
31
|
Farren TW, Giustiniani J, Liu FT,
Tsitsikas DA, Macey MG, Cavenagh JD, Oakervee HE, Taussig D,
Newland AC, Calaminici M, et al: Differential and tumor-specific
expression of CD160 in B-cell malignancies. Blood. 118:2174–2183.
2011.PubMed/NCBI View Article : Google Scholar
|
