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Journal of Clinical Oncology, Vol 19, Issue 3 (February), 2001: 720-726
© 2001 American Society for Clinical Oncology

CD4+ T-Cell Immune Response to Large B-Cell Non-Hodgkin’s Lymphoma Predicts Patient Outcome

By Stephen M. Ansell, Mary Stenson, Thomas M. Habermann, Diane F. Jelinek, Thomas E. Witzig

From the Division of Hematology and Internal Medicine, Department of Immunology, Mayo Clinic, Rochester, MN.

Address reprint to Thomas E. Witzig, MD, Division of Hematology and Internal Medicine, Mayo Clinic, 200 First St SW, Rochester, Minnesota 55905; email: witzig{at}mayo.edu


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
PURPOSE: Previous studies in patients with non-Hodgkin’s lymphoma (NHL) and other malignancies have suggested that the presence of host infiltrates in the tumors of these patients may predict a better outcome. This study was undertaken to determine the prognostic importance of the presence of T cells in the biopsy specimens of patients with B-cell NHL.

PATIENTS AND METHODS: Seventy-two patients with diffuse large B-cell NHL were prospectively evaluated at a single institution between 1987 and 1994. The percentage of CD3+, CD3+/HLA-DR+, CD4+, CD8+, and natural killer cells was determined by flow cytometry in the pretreatment diagnostic biopsy specimen and correlated with patient outcome.

RESULTS: An increase in the percentage CD4+ T cells in the pretreatment tumor biopsies significantly correlated with patient outcome. The percent of CD4+ T cells was also highly correlated with CD3+/HLA-DR+, CD45RO+, and low L-selectin (CD62L) expression, indicating that the CD4+ T cells are activated memory T-helper cells. Those patients with increased numbers of CD4+ T cells, compared with other patients, had a significantly longer 5-year failure-free survival (72% v 43%, respectively; P = .04), as well as a significantly longer 5-year overall survival (65% v 38%, respectively; P = .05). When evaluated in a multivariate model, the International Prognostic Index and more than 20% infiltrating CD4+ T cells in the pretreatment biopsy were significant independent predictors of relapse-free and overall survival.

CONCLUSION: The presence of increased numbers of activated CD4+ cells in the area of B-cell diffuse large-cell NHL predicts a better prognosis. This finding provides a strong rationale for the investigation of cellular immunotherapy in B-cell NHL.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
THE NON-HODGKIN’S lymphomas (NHL) constitute a heterogeneous group of malignancies of B or T cells. In B-cell NHL, malignant monoclonal B cells arrested at different stages of differentiation usually involve lymph nodes and occasionally extranodal tissues. Cells other than tumor cells are also present in the tumor microenvironment. These cells include T lymphocytes, which are present in proportions that differ from one patient to another. They seem to be more than simple residual elements from the normal lymph node structure. The role and significance of these T cells in the pathogenesis of the disease are not well understood.

Previous studies in patients with NHL as well as in patients with other malignancies have suggested that the presence of a host immune response in the tumors of these patients may predict a better outcome.1-7 Lymphoma relapse and patient survival may be related to the type and number of specific T-cell subsets that infiltrate B-cell lymphomas. In one study of large B-cell lymphoma,6 the finding of less than 6% cytotoxic T cells was associated with patient relapse. In a separate study of diffuse small-cell lymphomas,2 the number of infiltrating host T cells predicted survival. The magnitude, subset type, activation state, and memory status of the T-cell response in biopsy specimens from patients with B-cell lymphoma may be independent predictors of clinical outcome. In particular, the poor outcome associated with a low T-cell level might be the object of therapeutic manipulation.

Previous studies have focused on the role of cytolytic CD8+ cells as tumor-infiltrating lymphocytes.4,6 Recent studies have suggested that CD4+ T cells may play a central role in the antitumor immune response.8,9 The aim of this study was to measure the presence and extent of CD4+ T cells infiltrating the pretreatment biopsy specimens from patients with B-cell diffuse large-cell lymphoma to assess the prognostic importance of the level of CD4+-cell infiltration.


    PATIENTS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Patient Selection
Patients were eligible for this study if they had a tissue biopsy that on pathologic review showed diffuse large B-cell lymphoma and adequate tissue to perform flow cytometry. The patients were accrued to the study between January 1987 and June 1994, and all patients were newly diagnosed and untreated at the time the biopsy was taken. The biopsy specimens were reviewed and classified using the Revised European-American Lymphoid classification.

Staging was commonly performed with a complete blood count, serum chemistries, chest radiograph, computed tomography scan of the abdomen, and bilateral bone marrow and aspiration and biopsy. The patients were not treated on a specific protocol, but most received an anthracycline-based chemotherapy regimen as initial therapy. The pretreatment prognostic factors, the response to therapy, and overall survival (OS) data were obtained by chart review or correspondence. Patients were followed up to September 1999, and all patients have >= 5 years of follow-up. This study was approved by the Institutional Review Board of the Mayo Clinic/Mayo Foundation.

Flow Cytometry Methods
Samples were processed and analyzed by flow cytometry, as previously described.10 Briefly, fresh tumor biopsy samples were gently minced over a wire mesh screen to obtain a cell suspension. The cell suspension was centrifuged over Ficoll Hypaque (Isolymph; Gallard-Schlesinger Industries, Garden City, NY) at 500 x g for 15 minutes to isolate mononuclear cells and then washed with RPMI 1640 media.

A panel of antibodies against T-, B-, and natural killer (NK)-cell antigens, including CD3, CD4, CD8, CD16, CD19, CD45RO, CD45RA, CD56, HLA-DR, and CD62L, as well as an isotype control was used for each sample. The fluorescein isothiocyanate– and phycoerythrin-conjugated monoclonal antibodies were used according to manufacturer’s recommendations (Becton Dickinson, Franklin Lakes, NJ). One million cells were incubated with antibody for 30 minutes at 4°C, washed with phosphate-buffered saline, and resuspended in 1 mL of 1% paraformaldehyde in phosphate-buffered saline for flow cytometry. A minimum of 10,000 cells were analyzed on each sample tube. An isotype control was used to gate on the lymphocytes by size and to set the negative fluorescence (FL) markers on either single FL histograms or FL1 versus FL2 dot plots of the dual antibody tubes. The results are reported as the percentage of lymphocytes positive for each antibody. To ensure that the specimen used for flow cytometry was representative of the tumor biopsy, the percents of CD4+ cells, CD8+ cells, NK cells, and CD19+ cells were added together and the sum had to equal 100% ± 15% for inclusion in the study.

International Prognostic Index (IPI) and Other Prognostic Factors
Prognostic factors considered to be important for patient outcome were evaluated in all patients. The IPI was calculated for each patient based on stage, lactate dehydrogenase (LDH), performance status, number of extranodal sites, and age, as previously reported.11 The predicted outcome of the patient was determined using the IPI and also by the use of each variable in the IPI formula separately. Other prognostic factors, including the degree of T-cell infiltration, were also examined. Patients were grouped as follows: age >= 60 versus < 60 years; stage I/II versus III/IV; no or one extranodal site versus >= two sites; normal versus elevated pretreatment LDH; performance status 0 to 1 versus 2 to 4; and the presence versus the absence of lung or bone marrow involvement. Data on the pretreatment beta-2 microglobulin was only available for 22 patients; therefore, the prognostic importance of this parameter could not be evaluated. Each of these prognostic factors was analyzed to determine its effect on failure-free survival (FFS) and OS.

Statistical Analysis
A scatterplot of the residuals12 was performed to determine the best cut point for analysis of the degree of immune cell infiltration. This test was used to determine the percentage of CD3, CD4, CD8, and NK cells that separated the study cohort into two groups with the most statistically different FFS and OS. Comparisons between patient groups were based on {chi}2 tests for categorical data and the Wilcoxon rank sum test for continuous data.13 OS and FFS were measured from the date of study entry or date of achievement of complete response (CR) until death from any cause (survival and FFS) or relapse (FFS), respectively. Patients alive at last follow-up evaluation were censored for analysis of OS, whereas patients still at risk of relapse were censored for FFS. All patients were observed through September 1999. The FFS and OS of all patients were estimated using the Kaplan-Meier method.14 The univariate associations between individual clinical features and survival were determined with the log-rank test.15 Features independently associated with survival were identified in multivariate analyses by the Cox proportional hazards regression model.16 All patients had complete data sets and could be included in the Cox model.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Patient Characteristics
Biopsy specimens from 98 patients were initially analyzed. Care was taken to analyze lymphocytes from a representative area of the lymphoma specimen. Most specimens had complete effacement of the normal tissue by large-cell lymphoma, and histologic sections from tissue adjacent to the tissue used for flow cytometry were studied to ensure that the area was involved by lymphoma. Cytospins of each cell suspension, however, were not performed. Twenty-six patients were excluded from the analysis because of the fact that the sum of the percentage CD4, CD8, NK, and CD19+ cells was less than 85% or more than 115%. They were excluded because of quality control concerns that there may have been either inadequate antibody binding caused by debris or nonspecific binding resulting in a selection bias for a subset of cells from the biopsy.

The characteristics of the 72 patients with large B-cell NHL who were eligible for this study are listed in Table 1. Thirty-nine patients were men, and 33 were women, with a median age of 65 years (range, 18 to 92 years). Clinical factors that have been shown to influence prognosis were evaluated. Extranodal sites of involvement consisted of bone marrow involvement in 11 patients, gastrointestinal involvement in nine patients, lung in six patients, and liver involvement in two patients. Thirty-eight patients (53%) had a good performance status (Eastern Cooperative Oncology Group performance status 0 to 1), and 34 had a poor performance status (2,3, or 4). The median pretreatment LDH value was 188 U/dL (range, 64 to 1,580 U/dL). When patients were grouped using the IPI, 59 patients (82%) were in the low-risk or low-intermediate–risk group, whereas 13 patients (18%) were in the high-intermediate–risk or high-risk group.


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Table 1. Patient Characteristics
 
Sixty-five patients (90%) were treated with an anthracycline-containing chemotherapy regimen ( Table 2). Of the remaining seven patients, five were treated with other chemotherapy combinations that excluded anthracyclines because of cardiovascular compromise, one patient received radiotherapy as primary therapy, and one patient died before initiation of treatment. Fifty-six patients (78%) had a CR to their initial therapy, with a median FFS of 38 months (range, 3.5 to 97 months). Twenty-seven (48%) of the 56 patients who had a CR have relapsed, and 30 (42%) of the total group of 72 patients have died. The median survival of all patients is 34 months (range, 1 to 97 months).


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Table 2. Treatment Type for Patients With Large B-Cell Lymphoma
 
Analysis of Prognostic Factors
The percentage of T lymphocytes in the B-cell NHL biopsy specimen could be determined in all patients. The median percentage of CD3+, CD4+, CD8+, and CD16+/CD56+ cells was 40% (range, 0.5% to 67%), 19.4% (range, 0.4% to 64%), 8% (range, 0.5% to 48%), and 3% (range, 0.5% to 38%), respectively.

An increased percentage of CD4+ T cells in the biopsy significantly correlated with patient outcome, whereas the percentage of CD3+ cells (total T cells), CD8+ cells, and NK cells had no impact on patient outcome in the univariate analysis. The increased percentage of CD4+ T cells in the biopsy significantly correlated with patient outcome as both a continuous and discrete variable. Using the Wilcoxon rank sum test, the percent of CD4+ cells correlated with OS as a continuous variable (P = .01).

Using a scatterplot of residuals, a level of 20% CD4+ cells in the biopsy specimen was shown to be the point that separated the patients into two groups with the most significantly different clinical outcome in terms of FFS and OS. Using >= 20% as a cutoff, the effect of the percentage of CD4+ T cells in the NHL was evaluated in a univariate analysis. Thirty-nine patients (54%) had < 20% CD4+ cells, whereas 33 patients had >= 20% CD4+ cells in the B-cell NHL. Differences in prognostic factors between patients with >= 20% CD4+ cells and those with < 20% CD4+ cells in the lymphoma were evaluated as listed in Table 1. There was no significant difference in the distribution of prognostic factors between the two groups except for the fact that there was a greater number of patients with an elevated LDH in the < 20% CD4+ cell group (P = .04). However, this difference may be secondary to decreased immunologic control over the disease as a result of the low numbers of CD4+ cells and the associated increased proliferation of the lymphoma.

Those patients with >= 20% CD4+ cells versus patients with < 20% CD4+ cells in their pretreatment biopsy specimens had a significantly longer 5-year FFS (72% v 43%, respectively, at 5 years; P = .04) and a significantly longer 5-year OS (65% v 38%, respectively; P = .05) ( Figs 1 and 2). The significant impact of the percentage of CD4+ cells in the area of lymphoma on patient outcome persisted when the seven patients who did not receive anthracyclines in their treatment regimen were removed from the analysis. Anthracycline-treated patients with >= 20% CD4+ cells in their pretreatment biopsy specimens again had a significantly better OS than those with < 20% CD4+ cells (P = .05), and they had an improved FFS, but this did not reach a statistically significant level (P = .06).



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Fig 1. FFS for B-cell large-cell lymphoma.

 


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Fig 2. OS for B-cell large-cell lymphoma.

 
The other factor that was predictive for FFS for the whole patient group was the IPI (P = .01). Other factors predictive for OS were the IPI and lung involvement ( Table 3). Despite the increased number of patients with an elevated LDH in the group with < 20% CD4+ cells, there was no difference in FFS (P = .24) or OS (P = .12) when patients with a normal pretreatment LDH were compared with those with an elevated LDH. Therefore, this variable was not included in the multivariate analysis.


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Table 3. Univariate Analysis for Patient Outcome for Large B-Cell Lymphoma
 
When the significant factors were evaluated in a multivariate model (Cox) for FFS, the percentage of CD4+ cells (P = .05) and the IPI (P = .01) were independent prognostic factors. When a multivariate analysis for OS was performed, the IPI (P < .01) and the percentage of CD4+-cell infiltration (P = .04) were again independent prognostic variables.

Immunophenotype of CD4+ T Cells
To further categorize the nature of the infiltrating CD4+ T cells, a repeat analysis by flow cytometry was performed on cell suspensions from the original biopsy that had been stored frozen in liquid nitrogen. This was possible for 41 (42%) of the original 98 patients. In the original analysis, the percentage of CD4+ T cells was also highly correlated with the percentage of CD3+HLA-DR+ T cells, suggesting that the CD4+ cells may be activated T-helper cells.17 The results of the repeat analysis on stored cells demonstrated that the CD4 positivity by flow cytometry was highly correlated with a CD4+HLA-DR+ phenotype. The expression of CD62L (L-selectin) on the population of CD4+ T cells was also extremely low, suggesting again that these cells are activated T-helper cells.18,19

In this same subset of 41 patients, we also assessed whether the populations of T cells were naïve or memory cells by evaluating whether they expressed CD45RO or CD45RA. The CD4+ cells were found to express CD45RO but not CD45RA+ cells, indicating that the cells are memory CD4+ T cells.

To further understand whether the CD4+ cells may be playing a regulatory role in the B-cell lymphoma, we compared the proliferative index of the tumor determined by the bromodeoxyuridine labeling index (LI) to the degree of CD4+-cell infiltration. The LI is a measure of the number of cells in the S phase of the cell cycles. The percentage CD4+ cells showed a significant (P = .001) inverse correlation with the LI, suggesting that the greater the percentage of CD4+ T cells in the B-cell lymphoma, the lower the proliferative rate.


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Interactions between host immune cells and malignant cells are complex. T-lymphocytes seem to play a critical role in containing the malignant clone and in immunosurveillance. When growth patterns and phenotypic surface markers have been analyzed, T-lymphocyte subpopulations isolated directly from the tumor tissue differ markedly from those found in the peripheral blood of the same tumor-bearing host.20 The tumor-infiltrating lymphocytes have been considered to be a manifestation of host immune reactions to malignant cells; however, the pathophysiologic significance of infiltrating T-cells in human cancer tissue has remained controversial. One of the major reasons for this was a premise that human cancers arise by evading the host immune surveillance, either as a result of the weak immunogenicity of tumor cells or by certain immunosuppressive effects from tumor cells. Rosenberg et al21 and Muul et al22 have demonstrated that the tumor-infiltrating T lymphocytes are part of a highly potent and specific antitumor immune response in experimental murine tumors and in certain human tumors.

Lymphoma relapse and patient survival have been related in a number of studies to the type and number of specific T-cell subsets that infiltrate B-cell NHL. The findings of these studies have suggested that the magnitude, subset type, activation state, and memory status of the T-cell response in biopsy specimens from patients with B-cell lymphoma are independent predictors of clinical outcome. It has been suggested that the poor outcome associated with a low level of infiltrating T-cells might be the object of therapeutic manipulation.

Although many studies have focused on the infiltrating CD8+ T cells (cytolytic T cells),23 it seems that the CD4+ T cell component of the infiltrating immune cells may be even more important than CD8+ cells in determining patient outcome. In a study of large B-cell lymphoma by Lippman et al,6 the finding of less than 6% cytotoxic T cells (Leu-2+) was invariably associated with patient relapse (P = .008). The difference in cytotoxic T-cell infiltration was not a significant predictor of OS. In the same study, however, patients with less than 6% T-helper cells had a significantly shorter relapse-free survival (P = .05). However, again there was no detectable difference in OS. In a separate study of diffuse small-cell lymphomas by Medeiros et al,2 the numbers of infiltrating host helper T cells determined by immunohistochemistry predicted OS. Lymphomas with less than 15% Leu-3+ cells (helper/inducer T subset) were associated with a significantly shorter OS (P = .0005). These findings were of particular importance in the patient’s initial biopsy (P = .0007).

In the present study of large B-cell NHL using flow cytometry, we have demonstrated that patients with < 20% infiltrating CD4+ cells have an inferior FFS and OS when compared with patients with >= 20% CD4+ cells. Differences in the level of statistical significance for this variable between the univariate and multivariate analysis are a result of the interrelationship with other prognostic factors and differences in the mathematical models. The prognostic importance of this finding maintains statistical significant when this factor is compared with other established prognostic factors including the IPI.

The nature and phenotype of the infiltrating T cells has been investigated in a number of studies, and these studies have suggested that these cells should be activated memory T cells. Tumor-infiltrating T cells in activated form (interleukin-2–stimulated) have been found to be related to NHL prognosis by Jacob et al.7 In their study, the influence of irradiated autologous malignant cells on the interleukin-2 responsiveness of infiltrating T cells was investigated. In 38% of the cases, the T-cell proliferation was not modified; in 41%, it was higher; and in 21%, it was lower. The actuarial survival curves showed a significantly better prognosis for patients with higher proliferation. Furthermore, an increase of memory T cells (CD4+/CD45RA-) relative to naïve T cells (CD4+/CD45RA+) has been noted in low-grade compared with high-grade NHL. It has been suggested that a memory T-cell response is active in maintaining a less aggressive NHL status.24 Naïve T-cell subsets were found more frequently and immune response memory T cells less frequently when the lymphoma cells had a higher proliferative rate measured by Ki67 (P = .0007). This suggests that memory T cells play a role in downregulating tumor proliferation rate.24

The results from the present study are compatible with the results from the studies summarized above. In our study, we demonstrated that the infiltrating CD4+ cells are activated with increased expression of HLA-DR and loss of L-selectin expression. We have also shown that these cells are memory T cells and have a CD4+/CD45RO+ phenotype. In addition, we have shown that an increased number of activated memory CD4+ T cells infiltrating areas of B-cell lymphoma correlates with a lower proliferative rate (as measured by the LI) of cells in the malignant lymphoma biopsy specimen. The LI was performed on all cells in the biopsy specimen, and we did not determine whether the proliferating cells were the malignant B cells or the infiltrating T cells. This finding is interesting but should be interpreted with caution. There were also a significantly higher number of patients with an elevated LDH in the group of patients with < 20% CD4+ cells in the lymphoma. Again, this may suggest that low numbers of activated memory CD4+ cells in areas of lymphoma may favor biologically aggressive disease.

Not all studies have shown that infiltrating T cells are fully functional or that infiltrating helper T cells are even beneficial. Koulis et al25 have suggested that low-grade B-cell lymphomas of mucosa-associated lymphoid tissue (MALT) contain a significant population of activated helper T cells but that these cells may in fact be supporting tumor growth. This was based on the finding that the T cells expressed CD40L, whereas the B cells expressed CD40, suggesting that the CD40/CD40L interaction plays an important role in the growth of low-grade MALT lymphomas. In the same study, however, high-grade MALT lymphomas did not express CD40L, suggesting that factors other than T-cell help are likely to be important in the growth of high-grade tumors. It has also been shown that the tumor-infiltrating lymphocytes from patients with B-cell NHL may have impaired tyrosine kinase signaling after stimulation with an anti-CD3 antibody.26 The authors suggested that these defects contributed to the poor proliferation and gamma interferon production seen in these cells.

Our data would suggest that in large B-cell lymphoma, infiltration by activated memory CD4+ rather than cytotoxic T lymphocytes predicts patient outcome. The mechanism for this finding may be different from the effect of CD8+ T cells. CD4+ cells may be responsible for costimulation of CD8+ cells, and low numbers of CD4+ cells may limit the costimulation process. Furthermore, CD4+ cells may be responsible for stimulating antigen-presenting cells, thereby upregulating the immune response. Additionally, recent studies have suggested that T-helper cells may themselves have cytolytic activity,27 and decreased numbers of these cells may limit this process. Although we postulate that CD4+ T-cell infiltration into areas of large B-cell NHL is an important feature of the body’s immune response and important in predicting patient outcome, it is also equally possible that the infiltration by CD4+ cells may simply be a surrogate for a more efficient immune system.

In conclusion, this study has shown in a large cohort of patients with a uniform histology that the presence of increased numbers of CD4+ T cells in the tumor biopsy predicts a better prognosis. This study demonstrates that the prognostic importance of the CD4+ cell infiltration is independent of other established prognostic variables. These cells are activated memory T-helper cells with CD4+/CD45R0+, HLA-DR+, and L-selectin-low phenotype, and tumor biopsies with high numbers of these cells have a low proliferative rate. The immunologic mechanisms underlying these findings remain unclear, and they provide a strong rationale for further investigation of the mechanisms responsible for T-cell recruitment and the development of methods to upregulate this process to provide clinical benefit to patients with these lymphomas.

It is important to note that we do not regard the cut point at 20% CD4+ cells to be significant, but rather, we believe that the degree of CD4+-cell infiltration is a continuum with increased numbers of infiltrating CD4+ cells correlating with improved clinical outcome. Additionally, although the degree of infiltration correlates with FFS and OS, we do not wish to describe another prognostic factor. Rather, we regard these results as provocative data that merit further evaluation and that may lead to a better understanding of the immune response and to future innovative immunologic therapies.


    ACKNOWLEDGMENTS
 
We thank Kay Ristow for her assistance with data management, Paul J. Kurtin, MD, for the pathology review, and Curtis A. Hanson, MD, for help with the analysis of the flow cytometric data.


    NOTES
 
Presented in part at the Thirty-Fifth Annual Meeting of the American Society of Clinical Oncology, Atlanta GA, May 15-18, 1999.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
1. Strickler JG, Copenhaver CM, Rojas VA, et al: Comparison of host cell infiltrates in patients with follicular lymphoma with and without spontaneous regression. Am J Clin Pathol 90: 257-261, 1988[Medline]

2. Medeiros LJ, Picker LJ, Gelb AB, et al: Numbers of host "helper" T cells and proliferating cells predict survival in diffuse small-cell lymphomas. J Clin Oncol 7: 1009-1017, 1989[Abstract]

3. Bashir R, Chamberlain M, Ruby E, et al: T-cell infiltration of primary CNS lymphoma. Neurology 46: 440-444, 1996[Abstract/Free Full Text]

4. List AF, Spier CM, Miller TP, et al: Deficient tumor-infiltrating T-lymphocyte response in malignant lymphoma: Relationship to HLA expression and host immunocompetence. Leukemia 7: 398-403, 1993[Medline]

5. Grogan TM, Miller TP: Immunobiologic correlates of prognosis in lymphoma. Semin Oncol 20: 58-74, 1993 (suppl 5)[Medline]

6. Lippman SM, Spier CM, Miller TP, et al: Tumor-infiltrating T-lymphocytes in B-cell diffuse large cell lymphoma related to disease course. Mod Pathol 3: 361-367, 1990[Medline]

7. Jacob MC, Piccinni MP, Bonnefoix T, et al: T lymphocytes from invaded lymph nodes in patients with B-cell-derived non-Hodgkin’s lymphoma: Reactivity toward the malignant clone. Blood 75: 1154-1162, 1990[Abstract/Free Full Text]

8. Hung K, Hayashi R, Lafond-Walker A, et al: The central role of CD4+ T cells in the antitumor immune response. J Exp Med 188: 2357-2368, 1998[Abstract/Free Full Text]

9. Lauritzsen GF, Weiss S, Dembic Z, et al: Naive idiotype-specific CD4+ T cells and immunosurveillance of B-cell tumors. Proc Natl Acad Sci USA 91: 5700-5704, 1994[Abstract/Free Full Text]

10. Witzig TE, Banks PM, Stenson MJ, et al: Rapid immunotyping of B-cell non-Hodgkin’s lymphomas by flow cytometry. Am J Clin Pathol 94: 280-286, 1990[Medline]

11. The International Non-Hodgkin’s Lymphoma Prognostic Factors Project: A predictive model for aggressive non-Hodgkin’s lymphoma: The International Non-Hodgkin’s Lymphoma Prognostic Factors Project. N Engl J Med 329:987-994, 1993

12. Therneau TM, Grambsch PL, Fleming TR: Martingale based residuals for survival models. Biometrika 77: 147-160, 1990[Abstract/Free Full Text]

13. Conover WJ: Practical Nonparametric Statistics. New York, NY, Wiley, 1980

14. Kaplan EL, Meier P: Nonparametric estimation from incomplete observations. J Am Stat Assoc 53: 457-481, 1958

15. Mantel N: Evaluation of survival data and two new rank order statistics arising in its consideration. Cancer Chemother Rep 50: 163-170, 1966[Medline]

16. Cox DR: Regression models and life-tables. J R Stat Soc 34: 187-220, 1972

17. Diedrichs M, Schendel DJ: Differential surface expression of class II isotypes on activated CD4 and CD8 cells correlates with levels of locus-specific mRNA. J Immunol 142: 3275-3280, 1989[Abstract]

18. Kjaergaard J, Shu S: Tumor infiltration by adoptively transferred T cells is independent of immunologic specificity but requires down-regulation of L-selectin expression. J Immunol 163: 751-759, 1999[Abstract/Free Full Text]

19. Chao CC, Jensen R, Dailey MO: Mechanisms of L-selectin regulation by activated T cells. J Immunol 159: 1686-1694, 1997[Abstract]

20. Belldegrun A, Muul LM, Rosenberg SA: Interleukin 2 expanded tumor-infiltrating lymphocytes in human renal cell cancer: isolation, characterization, and antitumor activity. Cancer Res 48: 206-214, 1988[Abstract/Free Full Text]

21. Rosenberg SA, Spiess P, Lafreniere R: A new approach to adoptive immunotherapy of cancer with tumor-infiltrating lymphocytes. Science 233: 1318-1321, 1986[Abstract/Free Full Text]

22. Muul LM, Spiess PJ, Director EP, et al: Identification of specific cytolytic immune responses against autologous tumor in humans bearing malignant melanoma. J Immunol 138: 989-995, 1987[Abstract]

23. Hoppe RT, Medeiros LJ, Warnke RA, et al: CD8-positive tumor-infiltrating lymphocytes influence the long-term survival of patients with mycosis fungoides. J Am Acad Dermatol 32: 448-453, 1995[Medline]

24. Jacob MC, Favre M, Lemarc’Hadour F, et al: CD45RA expression by CD4 T lymphocytes in tumors invaded by B-cell non-Hodgkin’s lymphoma (NHL) or Hodgkin’s disease (HD). Am J Hematol 39: 45-51, 1992[Medline]

25. Koulis A, Diss T, Isaacson PG, et al: Characterization of tumor-infiltrating T lymphocytes in B-cell lymphomas of mucosa-associated lymphoid tissue. Am J Pathol 151: 1353-1360, 1997[Abstract]

26. Wang Q, Stanley J, Kudoh S, et al: Cells infiltrating non-Hodgkin’s B cell lymphomas show altered tyrosine phosphorylation pattern even though T cell receptor/CD3-associated kinases are present. J Immunol 155: 1382-1392, 1995[Abstract]

27. Hishii M, Kurnick JT, Ramirez-Montagut T, et al: Studies of the mechanism of cytolysis by tumor-infiltrating lymphocytes. Clin Exp Immunol 116: 388-394, 1999[Medline]

Submitted March 10, 2000; accepted September 18, 2000.


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BloodHome page
R. A. Wilcox, D. A. Wada, S. C. Ziesmer, S. F. Elsawa, N. I. Comfere, A. B. Dietz, A. J. Novak, T. E. Witzig, A. L. Feldman, M. R. Pittelkow, et al.
Monocytes promote tumor cell survival in T-cell lymphoproliferative disorders and are impaired in their ability to differentiate into mature dendritic cells
Blood, October 1, 2009; 114(14): 2936 - 2944.
[Abstract] [Full Text] [PDF]


Home page
BloodHome page
R. A. Wilcox, A. L. Feldman, D. A. Wada, Z.-Z. Yang, N. I. Comfere, H. Dong, E. D. Kwon, A. J. Novak, S. N. Markovic, M. R. Pittelkow, et al.
B7-H1 (PD-L1, CD274) suppresses host immunity in T-cell lymphoproliferative disorders
Blood, September 3, 2009; 114(10): 2149 - 2158.
[Abstract] [Full Text] [PDF]


Home page
Cancer Res.Home page
Z.-Z. Yang, A. J. Novak, S. C. Ziesmer, T. E. Witzig, and S. M. Ansell
Malignant B Cells Skew the Balance of Regulatory T Cells and TH17 Cells in B-Cell Non-Hodgkin's Lymphoma
Cancer Res., July 1, 2009; 69(13): 5522 - 5530.
[Abstract] [Full Text] [PDF]


Home page
BMJ Case ReportsHome page
P. A Engel and C. Lee
Sudden appearance and spontaneous regression of diffuse large B cell lymphoma in a man with a broken arm
BMJ Case Reports, March 5, 2009; 2009(mar02_1): bcr1020081036 - bcr1020081036.
[Abstract] [Full Text]


Home page
BloodHome page
S. Mittal, N. A. Marshall, L. Duncan, D. J. Culligan, R. N. Barker, and M. A. Vickers
Local and systemic induction of CD4+CD25+ regulatory T-cell population by non-Hodgkin lymphoma
Blood, June 1, 2008; 111(11): 5359 - 5370.
[Abstract] [Full Text] [PDF]


Home page
J. Immunol.Home page
B. Friedrichs, S. Siegel, M. Kloess, A. Barsoum, J. Coggin Jr., J. Rohrer, I. Jakob, M. Tiemann, K. Heidorn, C. Schulte, et al.
Humoral Immune Responses against the Immature Laminin Receptor Protein Show Prognostic Significance in Patients with Chronic Lymphocytic Leukemia
J. Immunol., May 1, 2008; 180(9): 6374 - 6384.
[Abstract] [Full Text] [PDF]


Home page
Clin. Cancer Res.Home page
K.-C. Chang, G.-C. Huang, D. Jones, and Y.-H. Lin
Distribution Patterns of Dendritic Cells and T Cells in Diffuse Large B-Cell Lymphomas Correlate with Prognoses
Clin. Cancer Res., November 15, 2007; 13(22): 6666 - 6672.
[Abstract] [Full Text] [PDF]


Home page
Ann OncolHome page
A Plonquet, C Haioun, J-P Jais, A-L Debard, G Salles, M-C Bene, P Feugier, C Rabian, O Casasnovas, M Labalette, et al.
Peripheral blood natural killer cell count is associated with clinical outcome in patients with aaIPI 2 3 diffuse large B-cell lymphoma
Ann. Onc., July 1, 2007; 18(7): 1209 - 1215.
[Abstract] [Full Text] [PDF]


Home page
JEMHome page
M. M. Zangani, M. Froyland, G. Y. Qiu, L. A. Meza-Zepeda, J. L. Kutok, K. M. Thompson, L. A. Munthe, and B. Bogen
Lymphomas can develop from B cells chronically helped by idiotype-specific T cells
J. Exp. Med., May 14, 2007; 204(5): 1181 - 1191.
[Abstract] [Full Text] [PDF]


Home page
Clin. Cancer Res.Home page
B. E. Wahlin, B. Sander, B. Christensson, and E. Kimby
CD8+ T-Cell Content in Diagnostic Lymph Nodes Measured by Flow Cytometry Is a Predictor of Survival in Follicular Lymphoma
Clin. Cancer Res., January 15, 2007; 13(2): 388 - 397.
[Abstract] [Full Text] [PDF]


Home page
Cancer Res.Home page
Z.-Z. Yang, A. J. Novak, S. C. Ziesmer, T. E. Witzig, and S. M. Ansell
Attenuation of CD8+ T-Cell Function by CD4+CD25+ Regulatory T Cells in B-Cell Non-Hodgkin's Lymphoma.
Cancer Res., October 15, 2006; 66(20): 10145 - 10152.
[Abstract] [Full Text] [PDF]


Home page
BloodHome page
Z.-Z. Yang, A. J. Novak, M. J. Stenson, T. E. Witzig, and S. M. Ansell
Intratumoral CD4+CD25+ regulatory T-cell-mediated suppression of infiltrating CD4+ T cells in B-cell non-Hodgkin lymphoma
Blood, May 1, 2006; 107(9): 3639 - 3646.
[Abstract] [Full Text] [PDF]


Home page
The OncologistHome page
J. S. Abramson
T-cell/histiocyte-rich B-cell lymphoma: biology, diagnosis, and management.
Oncologist, April 1, 2006; 11(4): 384 - 392.
[Abstract] [Full Text] [PDF]


Home page
BloodHome page
A. Anichini, R. Mortarini, L. Romagnoli, P. Baldassari, A. Cabras, C. Carlo-Stella, A. M. Gianni, and M. Di Nicola
Skewed T-cell differentiation in patients with indolent non-Hodgkin lymphoma reversed by ex vivo T-cell culture with {gamma}c cytokines
Blood, January 15, 2006; 107(2): 602 - 609.
[Abstract] [Full Text] [PDF]


Home page
ASH ANNUAL MEETING ABSTRACTSHome page
C. Joao, L. F. Porrata, T. Witzig, P. Kurtin, I. Micallef, S. N. Markovic, C. Erlichman, A. Novak, and S. M. Ansell
Absolute Lymphocyte Count and CD4 Count Predict a Superior Progression-Free Survival in Non-Hodgkin Lymphoma Patients Treated with Rituximab and Interleukin-12.
Blood (ASH Annual Meeting Abstracts), November 16, 2005; 106(11): 1495 - 1495.
[Abstract]


Home page
JCOHome page
J. Timar, A. Ladanyi, C. Forster-Horvath, J. Lukits, B. Dome, E. Remenar, M. Godeny, M. Kasler, B. Bencsik, G. Repassy, et al.
Neoadjuvant Immunotherapy of Oral Squamous Cell Carcinoma Modulates Intratumoral CD4/CD8 Ratio and Tumor Microenvironment: A Multicenter Phase II Clinical Trial
J. Clin. Oncol., May 20, 2005; 23(15): 3421 - 3432.
[Abstract] [Full Text] [PDF]


Home page
BloodHome page
X. Lu, H. Nechushtan, F. Ding, M. F. Rosado, R. Singal, A. A. Alizadeh, and I. S. Lossos
Distinct IL-4-induced gene expression, proliferation, and intracellular signaling in germinal center B-cell-like and activated B-cell-like diffuse large-cell lymphomas
Blood, April 1, 2005; 105(7): 2924 - 2932.
[Abstract] [Full Text] [PDF]


Home page
BloodHome page
L. M. Rimsza, R. A. Roberts, T. P. Miller, J. M. Unger, M. LeBlanc, R. M. Braziel, D. D. Weisenberger, W. C. Chan, H. K. Muller-Hermelink, E. S. Jaffe, et al.
Loss of MHC class II gene and protein expression in diffuse large B-cell lymphoma is related to decreased tumor immunosurveillance and poor patient survival regardless of other prognostic factors: a follow-up study from the Leukemia and Lymphoma Molecular Profiling Project
Blood, June 1, 2004; 103(11): 4251 - 4258.
[Abstract] [Full Text] [PDF]


Home page
BloodHome page
J. R. Smith, R. M. Braziel, S. Paoletti, M. Lipp, M. Uguccioni, and J. T. Rosenbaum
Expression of B-cell-attracting chemokine 1 (CXCL13) by malignant lymphocytes and vascular endothelium in primary central nervous system lymphoma
Blood, February 1, 2003; 101(3): 815 - 821.
[Abstract] [Full Text] [PDF]


Home page
JCOHome page
H. Bosshart, S. M. Ansell, D. F. Jelinek, P. J. Wettstein, and T. E. Witzig
T Helper Cell Activation in B-Cell Lymphomas
J. Clin. Oncol., June 15, 2002; 20(12): 2904 - 2905.
[Full Text] [PDF]


Home page
BloodHome page
S. M. Ansell, T. E. Witzig, P. J. Kurtin, J. A. Sloan, D. F. Jelinek, K. G. Howell, S. N. Markovic, T. M. Habermann, G. G. Klee, P. J. Atherton, et al.
Phase 1 study of interleukin-12 in combination with rituximab in patients with B-cell non-Hodgkin lymphoma
Blood, January 1, 2002; 99(1): 67 - 74.
[Abstract] [Full Text] [PDF]


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