Skip to main content

Advertisement

Log in

Prognostic significance of T cell subsets in peripheral blood of B cell non-Hodgkin’s lymphoma patients

  • Original Paper
  • Published:
Medical Oncology Aims and scope Submit manuscript

Abstract

The role of tumor-infiltrating T cell subsets in the prognosis of non-Hodgkin’s lymphoma (NHL) has previously been reported. In the present study, we investigated the prognostic significance of different T cell subsets in the peripheral blood of NHL patients. Immunophenotyping was performed on the peripheral blood samples of 45 patients with newly diagnosed B cell NHL using flow cytometry. The relationship between T cell subsets of CD4+, CD8+, CD3+CD25+, CD4+CD25+, CD4+CD25high [as T regulatory cells (T reg)], and the CD4/CD8 ratio with international prognostic index (IPI) and response to therapy was determined. The percentages of CD3+, CD4+, and CD8+ T cells in the peripheral blood of the patients were 49.1 ± 20.3%, 23.6 ± 11%, and 31.4 ± 14.4%, respectively (CD4/CD8 ratio: 0.92 ± 0.6). There were 4.2 ± 3.2% T reg cells. A study of the percentage of T cells in relation to IPI score showed a higher proportion of CD3+CD25+, CD4+, and CD4+CD25+ cells in low-risk patients compared with intermediate/high risk groups (p < 0.05). The above cells, as well as CD4+CD25high T reg cells, indicated a positive correlation with complete remission (CR) and survival. CD4 positivity correlated significantly with survival and CR durations, which were longer in patients with ≥20% CD4+ cells than those with <20% CD4+ cells, thus indicating the prognostic value of CD4+ T cells in NHL patients. There was no significant data on CD8+ cells as well as the CD4/CD8 ratio between distinct IPI groups and response to therapy. These data indicated the importance of CD4+ cells and the activation status of T cells in immunity against lymphoma and the prognostic implication of enumeration of these cells in NHL patients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Lichtman MA, Beutler E, Kipps TJ, et al. Williams text book of hematology.7th ed. New York, NY: Mc Graw Hill; 2006.

  2. Betts GJ, Clarke SL, Richards HE, et al. Regulating the immune response to tumors. Adv Drug Deliv Rev. 2006;58:948–61.

    Article  PubMed  CAS  Google Scholar 

  3. Grulich AE, Vajdic CM, Cozen W. Altered immunity as a risk factor for non-Hodgkin lymphoma. Cancer Epidemiol Biomarkers Prev. 2007;16:405–8.

    Article  PubMed  CAS  Google Scholar 

  4. Vasei M, Kumar PV, Malekhosseini SA, Amirghofran Z. Primary T-cell lymphoma of the breast with lymphoepithelial lesion. A case report. APMIS. 1997;105:445–8.

    Article  PubMed  CAS  Google Scholar 

  5. Nogai H, Dörken B, Lenz G. Pathogenesis of Non-Hodgkin’s lymphoma. J Clin Oncol. 2011;29:1803–11.

    Article  PubMed  CAS  Google Scholar 

  6. Sznurkowski JJ, Zawrocki A, Emerich J, et al. Prognostic significance of CD4+ and CD8+ T cell infiltration within cancer cell nests in vulvar squamous cell carcinoma. Int J Gynecol Cancer. 2011;21:717–21.

    Article  PubMed  Google Scholar 

  7. Waldner M, Schimanski CC, Neurath MF. Colon cancer and the immune system: the role of tumor invading T cells. World J Gastroenterol. 2006;12:7233–8.

    PubMed  CAS  Google Scholar 

  8. Ansell SM, Stenson M, Habermann TM, et al. CD4+ T-cell immune response to large B-cell non-Hodgkin’s lymphoma predicts patient outcome. J Clin Oncol. 2001;19:720–6.

    PubMed  CAS  Google Scholar 

  9. Wansom D, Light E, Worden F, et al. Correlation of cellular immunity with human papillomavirus status and outcome in patients with advanced oropharyngeal cancer. Arch Otolaryngol Head Neck Surg. 2010;136:1267–73.

    Article  PubMed  Google Scholar 

  10. Hernberg MM, Hahka-Kemppinen MH, Pyrhonen SO. The prognostic role of CD4+ and CD8+ lymphocytes during chemoimmunotherapy in metastatic melanoma. Melanoma Res. 2004;14:493–500.

    Article  PubMed  Google Scholar 

  11. Gorczyca W, Weisberger J, Liu Z, et al. An approach to diagnosis of T-cell lymphoproliferative disorders by flow cytometry. Cytometry. 2002;50:177–90.

    Article  PubMed  Google Scholar 

  12. Medeiros LJ, Harmon DC, Linggood RM, et al. Immunohistologic features predict clinical behavior of orbital and conjunctival lymphoid infiltrates. Blood. 1989;74:2121–9.

    PubMed  CAS  Google Scholar 

  13. Slymen DJ, Miller TP, Lippman SM, et al. Immunobiologic factors predictive of clinical outcome in diffuse large-cell lymphoma. J Clin Oncol. 1990;8:986–93.

    PubMed  CAS  Google Scholar 

  14. Mougiakakos D, Choudhury A, Lladser A, et al. Regulatory Tcells in cancer. Adv Cancer Res. 2010;107:57–117.

    Article  PubMed  CAS  Google Scholar 

  15. Feng LL, Wang X. Targeting Foxp3+ regulatory T cells-related immunosuppression for cancer immunotherapy. Chin Med J (Engl). 2010;123:3334–42.

    CAS  Google Scholar 

  16. Yang ZZ, Novak AJ, Ziesmer SC, et al. Attenuation of CD8+ T-cell function by CD4+CD25+ regulatory T cells in B-cell non-Hodgkin’s lymphoma. Cancer Res. 2006;66:10145–52.

    Article  PubMed  CAS  Google Scholar 

  17. Brusko TM, Wasserfall CH, Clare-Salzler MJ, et al. Functional defects and the influence of age on the frequency of CD4+CD25+ T-cells in type 1 diabetes. Diabetes. 2005;54:1407–14.

    Article  PubMed  CAS  Google Scholar 

  18. Ziepert M, Hasenclever D, Kuhnt E, et al. Standard International prognostic index remains a valid predictor of outcome for patients with aggressive CD20+ B-cell lymphoma in the rituximab era. J Clin Oncol. 2010;28:2373–80.

    Article  PubMed  CAS  Google Scholar 

  19. Kapplan EL, Meier P. Non-parametric estimation from incomplete observations. J Am Stat Assoc. 1958;53:457–81.

    Article  Google Scholar 

  20. Shahghasempour SH, Gerami M, Entezami Z. Enumeration of peripheral blood lymphocyte subsets in a healthy Iranian population. Arch Iran Med. 2001;4:80–3.

    Google Scholar 

  21. Beyer M, Schultze JL. Regulatory T cells in cancer. Blood. 2006;108:804–8.

    Article  PubMed  CAS  Google Scholar 

  22. Chatzitolios A, Venizelos I, Tripsiannis G, et al. Prognostic significance of CD95, P53, and BCL2 expression in extranodal non-Hodgkin’s lymphoma. Ann Hematol. 2010;89:889–96.

    Article  PubMed  Google Scholar 

  23. Váróczy L, Gergely L, Miltényi Z, et al. Can CD3+/HLA-DR+ activated T cells predict the prognosis of non-Hodgkin’s lymphoma patients? Immunol Lett. 2005;97:155–7.

    Article  PubMed  Google Scholar 

  24. Xu Y, Kroft SH, McKenna RW, et al. Prognostic significance of tumour-infiltrating T lymphocytes and T-cell subsets in de novo diffuse large B-cell lymphoma: a multiparameter flow cytometry study. Br J Haematol. 2001;112:945–9.

    Article  PubMed  CAS  Google Scholar 

  25. Liu L, Yao J, Ding Q, et al. CD4+CD25 high regulatory cells in peripheral blood of NSCLC patients. J Huazhong Univ Sci Technol Med Sci. 2006;26:548–51.

    Article  PubMed  CAS  Google Scholar 

  26. Marshall NA, Culligan DJ, Tighe J, et al. The relationships between Epstein-Barr virus latent membrane protein 1 and regulatory T cells in Hodgkin’s lymphoma. Exp Hematol. 2007;35:596–604.

    Article  PubMed  CAS  Google Scholar 

  27. Alvaro T, Lejeune M, Salvadó MT, et al. Immunohistochemical patterns of reactive microenvironment are associated with clinicobiologic behavior in follicular lymphoma patients. J Clin Oncol. 2006;24:5350–7.

    Article  PubMed  Google Scholar 

  28. Shi X, Zhang XS, Liu DG, et al. CD4+CD25+ T regulatory cells in peripheral blood of B-NHL patients with or without chemotherapy. Ai Zheng. 2004;23:597–601.

    PubMed  Google Scholar 

  29. Tzankov A, Meier C, Hirschmann P, et al. Correlation of high numbers of intratumoral FOXP3+ regulatory T cells with improved survival in germinal center-like diffuse large B-cell lymphoma, follicular lymphoma and classical Hodgkin’s lymphoma. Haematologica. 2008;93:193–200.

    Article  PubMed  CAS  Google Scholar 

  30. Coupland SE. The challenge of the microenvironment in B-cell lymphomas. Histopathology. 2011;58:69–80.

    Article  PubMed  Google Scholar 

  31. Montserrat E, Campo E, Banham AH, et al. High numbers of tumor-infiltrating FOXP3-positive regulatory T cells are associated with improved overall survival in follicular lymphoma. Blood. 2006;108:2957–64.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

This work was supported by grant no 3554 from Shiraz University of Medical Sciences.

Conflict of interest

The authors declare no conflicts of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zahra Amirghofran.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Dehghani, M., Sharifpour, S., Amirghofran, Z. et al. Prognostic significance of T cell subsets in peripheral blood of B cell non-Hodgkin’s lymphoma patients. Med Oncol 29, 2364–2371 (2012). https://doi.org/10.1007/s12032-012-0176-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12032-012-0176-1

Keywords

Navigation