Gene-expression and immunohistochemical study of specific T-cell subsets and accessory cell types in the transformation and prognosis of follicular lymphoma

Journal of Clinical Oncology

Volumn 25, Issue 4, 2007, Pages 390-398

  Glas, Annuska M ^a   Knoops, Laurent ^a   Delahaye, Leonie ^a   Kersten, Marie José ^a   Kibbelaar, Robby E ^a   Wessels, Lodewyk A ^a   Van Laar, Ryan ^a   Van Krieken, J Han J M ^a   Baars, Joke W ^a   Raemaekers, John ^a   Kluin, Philip M ^a   Van't Veer, Laura J ^a   De Jong, Daphne ^a  

^a NETHERLANDS CANCER INSTITUTE   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CD4 ANTIGEN; CHLORDANE;

ACCESSORY CELL; ADULT; AGED; ARTICLE; CELL POPULATION; CELL TRANSFORMATION; CELLULAR DISTRIBUTION; CLINICAL ARTICLE; CONTROLLED STUDY; DENDRITIC CELL; FOLLICULAR LYMPHOMA; FUNCTIONAL DISEASE; GENE EXPRESSION PROFILING; HELPER CELL; HUMAN; HUMAN CELL; IMMUNOHISTOCHEMISTRY; MACROPHAGE; OVARY FOLLICLE CELL; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; REGULATORY T LYMPHOCYTE; RISK; T LYMPHOCYTE; CD4+ T LYMPHOCYTE; FEMALE; GENETICS; IMMUNOLOGY; MALE; MIDDLE AGED; PATHOLOGY; PREDICTION AND FORECASTING; RETROSPECTIVE STUDY; T LYMPHOCYTE SUBPOPULATION;

ADULT; AGED; AGED, 80 AND OVER; CD4-POSITIVE T-LYMPHOCYTES; CELL TRANSFORMATION, NEOPLASTIC; FEMALE; GENE EXPRESSION PROFILING; HUMANS; IMMUNOHISTOCHEMISTRY; LYMPHOMA, FOLLICULAR; MALE; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; PROGNOSIS; RETROSPECTIVE STUDIES; T-LYMPHOCYTE SUBSETS; T-LYMPHOCYTES, HELPER-INDUCER;

EID: 33846974737     PISSN: 0732183X     EISSN: None     Source Type: Journal    
DOI: 10.1200/JCO.2006.06.1648     Document Type: Article

References (32)

1. Horning SJ, Rosenberg SA: The natural history of initially untreated low-grade non-Hodgkin's lymphomas. N Engl J Med 311:1471-1475, 1984
2. Horning SJ: Natural history of and therapy for the indolent non-Hodgkin's lymphomas. Semin Oncol 20:75-88, 1993
3. Solal-Celigny P, Roy P, Colombat P, et al: Follicular lymphoma international prognostic index. Blood 104:1258-1265, 2004
4. Nathwani BN, Harris NL, Weisenburger D, et al: Pathology and genetics of tumours of haematooietic and lymphoid tissues. Jaffe ES, Harris NL, Stein H, et al (eds). Lyon, France, IARC Press, 2001, pp 162-167
5. The Non-Hodgkin's Lymphoma Classification Project: A clinical evaluation of the International Lymphoma Study Group classification of non-Hodgkin's lymphoma. Blood 89:3909-3918, 1997
6. Yunis JJ, Frizzera G, Oken MM, et al: Multiple recurrent genomic defects in follicular lymphoma: A possible model for cancer. N Engl J Med 316:79-84, 1987
7. Horsman DE, Connors JM, Pantzar T, et al: Analysis of secondary chromosomal alterations in 165 cases of follicular lymphoma with t(14;18). Genes Chromosomes Cancer 30:375-382, 2001
8. de Jong D: Molecular pathogenesis of follicular lymphoma: A cross talk of genetic and immunologic factors. J Clin Oncol 23:6358-6363, 2005
9. Glas AM, Kersten MJ, Delahaye LJMJ, et al: Gene expression profiling in follicular lymphoma to assess clinical aggressiveness and to guide the choice of treatment. Blood 105:301-307, 2005
10. Dave SS, Wright G, Tan B, et al: Prediction of survival in follicular lymphoma based on molecular features of tumor-infiltrating immune cells. N Engl J Med 351:2159-2169, 2004
11. Eray M, Postila V, Eeva J, et al: Follicular lymphoma cell lines, an in vitro model for antigenic selection and cytokine-mediated growth regulation of germinal centre b cells. Scand J Immunol 57:545-555, 2003
12. Bohen SP, Troyanskaya OG, Alter O, et al: Variation in gene expression patterns in follicular lymphoma and the response to rituximab. Proc Natl Acad Sci U S A 100:1926-1930, 2003
13. van de Vijver MJ, He YD, van't Veer LJ, et al: A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med 347:1999-2009, 2002
14. NKI/AvL Department of Pathology Microarray Projects. http://www.nki.nl/ nkidep/pa/microarray
15. Central Microarray Facility. http://microarrays.nki.nl
16. Brazma A, Hingamp P, Quackenbush J, et al: Minimum information about a microarray experiment (MIAME): Toward standards for microarray data. Nat Genet 29:365-371, 2001
17. Liu H, Li J, Wong L: Use of extreme patient samples for outcome prediction from gene expression data. Bioinformatics 21:3377-3384, 2005
18. Hughes TR, Marton MJ, Jones AR, et al: Functional discovery via a compendium of expression profiles. Cell 102:109-126, 2000
19. Sturn A, Quackenbush J, Trajanoski, Z.: Genesis: Cluster analysis of microarray data. Bioinformatics 18:207-208, 2002
20. Tusher VG, Tibshirani R, Chu G: Significance analysis of microarrays applied to the ionizing radiation response. Proc Natl Acad Sci U S A 98:5116-5121, 2001
21. Wessels LFA, Reinders MJT, Hart AAM, et al: A protocol for building and evaluating predictors of disease state based on microarray data. Bioinformatics 21:3755-3762, 2005
22. Bair E, Tibshirani R: Semi-supervised methods to predict patient survival from gene expression data. PLoS Biol 2:511-522, 2004
23. Farinha P, Masoudi H, Skinnider BF, et al: Analysis of multiple biomarkers shows that lymphoma-associated macrophage (LAM) content is an independent predictor of survival in follicular lymphoma (FL). Blood 106:2169-2174, 2005
24. Martin I, Bonnefoix T, Roucard C, et al: Role of autologous CD4+ T cell clones in human B non-Hodgkin's lymphoma: Aborted activation and G1 blockade induced by cell-cell contact. Eur J Immunol 29:3188-3195, 1999
25. Egle A, Harris AW, Bath ML, et al: VavP-Bcl2 transgenic mice develop follicular lymphoma preceded by germinal center hyperplasia. Blood 103: 2276-2283, 2004
26. Schwartz RH: Natural regulatory T cells and self-tolerance. Nat Immunol 6:327-330, 2005
27. von Boehmer H.: Mechanisms of suppression by suppressor T cells. Nat Immunol 6:338-344, 2005
28. Suri-Payer E, Amar AZ, Thornton AM, et al: CD4+CD25+ T cells inhibit both the induction and effector function of autoreactive T cells and represent a unique lineage of immunoregulatory cells. J Immunol 160:1212-1218, 1998
29. Chang KC, Huang X, Medeiros LJ, et al: Germinal centre-like versus undifferentiated stromal immunophenotypes in follicular lymphoma. J Pathol 201:404-412, 2003
30. Thomazy VA, Vega F, Medeiros LJ, et al: Phenotypic modulation of the stromal reticular network in normal and neoplastic lymph nodes: Tissue transglutaminase reveals coordinate regulation of multiple cell types. Am J Pathol 163:165-174, 2003
31. Shiozawa E, Yamochi-Onizuka T, Yamochi T, et al: Disappearance of CD21-positive follicular dendritic cells preceding the transformation of follicular lymphoma: Immunohistological study of the transformation using CD21, p53, Ki-67, and P-glycoprotein. Pathol Res Pract 199:293-302, 2003
32. Hoglund M, Sehn L, Connors JM, et al: Identification of cytogenetic subgroups and karyotypic pathways of clonal evolution in follicular lymphomas. Genes Chromosomes Cancer 39:195-204, 2004