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Journal of Clinical Oncology, Vol 25, No 22 (August 1), 2007: pp. 3330-3336
© 2007 American Society of Clinical Oncology.
DOI: 10.1200/JCO.2006.10.5833

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Tumor Sclerosis but Not Cell Proliferation or Malignancy Grade Is a Prognostic Marker in Advanced-Stage Follicular Lymphoma: The German Low Grade Lymphoma Study Group

Wolfram Klapper, Eva Hoster, Lars Rölver, Carsten Schrader, Dirk Janssen, Markus Tiemann, Heinz-Wolfram Bernd, Olaf Determann, Martin-Leo Hansmann, Peter Möller, Alfred Feller, Harald Stein, Hans-Heinrich Wacker, Martin Dreyling, Michael Unterhalt, Wolfgang Hiddemann, German Ott

From the Department of Pathology, Hematopathology Section and Lymph Node Registry; Department of Internal Medicine II, Campus Kiel, Kiel; Department of Pathology, Campus Lübeck, University Hospital Schleswig-Holstein, Lübeck; Department of Internal Medicine III, University of Munich, Munich; Department of Pathology, University of Frankfurt, Germany; Department of Pathology, University of Ulm, Ulm; Department of Pathology, University Hospital Charité, Campus Benjamin-Franklin, Berlin; and Department of Pathology, University of Würzburg, Würzburg, Germany

Address reprint requests to Wolfram Klapper, MD, Department of Pathology, Hematopathology Section, Niemannsweg 11, 24105 Kiel, Germany; e-mail: wklapper{at}path.uni-kiel.de


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
Purpose Follicular lymphoma is an indolent lymphoma with a long median overall survival. However, a considerable number of patients die within the first 2 years after the onset of the disease. Because the treatment options vary with respect to antitumor effect and potential toxic adverse effects, the identification of high-risk patients would be helpful in directing therapeutic decisions in individual patients. Several histopathologic biomarkers for risk stratification have been suggested, but most markers have not been validated in patients treated in prospective trials.

Patients and Methods We report a comprehensive approach to evaluate histopathologic biomarkers, including WHO grade, histology, and proliferation and quantitation of immune bystander cells, in 158 patients with nodal advanced-stage follicular lymphoma treated first line within a randomized trial.

Results Tumor sclerosis was a significant prognostic marker of poor overall survival that was independent of the Follicular Lymphoma International Prognostic Index (FLIPI). WHO grade, proliferation, and total T-cell or macrophage content were not associated with overall survival.

Conclusion The presence of sclerosis within the lymphoma is a marker of poor overall survival that is independent of the FLIPI. The quantification of macrophage or absolute T-cell content, grading, and proliferation are of no help in predicting the outcome of FL. Future studies need to identify surrogate markers for the prognostic immune signatures identified by gene expression profiling. Most importantly, new prognostic markers need to be confirmed in patients treated within prospective trials.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
Follicular lymphoma (FL) is the second most frequent B-cell non-Hodgkin's lymphoma (B-NHL).1 With current treatment protocols, FL is still not curable, and most patients experience multiple relapses, with variable times to treatment failure.2-4 Although the majority of FL patients initially present with disseminated disease (stages III and IV), the clinical course is often indolent with slow progression.3 In some patients, however, the disease progresses rapidly, often with transformation into an aggressive B-cell lymphoma. Thus, although the median survival of patients with FL is 8 to 10 years, approximately 10% to 20% of patients die as a result of their disease within the first 2 years after diagnosis.3,4

Treatment strategies in FL are variable and differ in terms of their antitumor efficacy and potential toxic adverse effects. The spectrum of clinical options includes watchful waiting, chemotherapy, immunochemotherapy, and myeloablative chemo- or chemoradiotherapy with subsequent stem-cell transplantation.2 Although the introduction of immunochemotherapy using the anti-CD20 antibody rituximab substantially improved the treatment response of many B-NHLs, including FL,5,6 there is currently no obvious agreement concerning the standard treatment of FL.2 Given the heterogeneity of the clinical course, the identification of high-risk patients at the time of initial diagnosis would be helpful in the choice of treatment.

Prognostic markers in FL have been defined based on clinical features,7 genetic alterations,8,9 and tumor histology.1 More recently, gene expression profiling resulted in the identification of the host immune response as an important prognostic biomarker for survival10 that is based, interestingly, on the quality of non-neoplastic bystander cells (T cells and macrophages) within the tumor. Most biomarkers, however, have not been validated within prospective trials. In the present study, we analyzed features derived from tumor histology and immunophenotype as well as from non-neoplastic bystander cells in 158 patients with advanced-stage FL enrolled in the German Low Grade Lymphoma Study Group (GLSG) prospective trial GLSG 1996 randomly comparing first-line CHOP (cyclophosphamide, doxorubicin, vincristine, and prednisone) and MCP (mitoxantrone, chlorambucil, and prednisolone) chemotherapy.11


    PATIENTS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
Specimen Selection
The samples of study patients with the diagnosis of centroblastic-centrocytic lymphoma (according to the Kiel classification) corresponding to follicular lymphoma grades 1 to 3a (according to the WHO classification) were selected by each of reference pathology centers without knowledge of the clinical data (Appendix, online only). This procedure, as well as the whole study concept, was approved by the ethic committees of the participating institutions. Hence, the study adheres to the modified Helsinki Declaration.

Review of Histologic Features
Histologic review was performed by at least two expert hematopathologists using a multiheaded microscope. We decided to perform the morphologic and immunohistochemical studies on full sections of the specimens to avoid any bias resulting from the use of tissue microarrays. Extranodal samples were excluded. All cases were classified and graded according to the WHO classification including the following specifications. A diffuse growth pattern was recorded if at least 25% of the tumor-infiltrated lymph node parenchyma displayed diffuse tumor growth. Two types of centrocytes (small and large) were distinguished on the basis of the size of the cells.12 Marginal zone differentiation was recorded if light-staining perifollicular areas were identified harboring medium-sized cells with monocytoid or marginal zone B-cell morphology.13 Plasmacytoid/plasmacytic differentiation was defined if plasma cells or plasmacytoid cells expressed monotypic immunoglobulin light chains on immunohistochemistry. Sclerosis was recorded if fibrous bands of any size were present associated with tumor infiltrates, as described in Figure 1. 12,14


Figure 1
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Fig 1. (A) Follicular lymphoma without sclerosis. Sclerosis with (B) circular bands surrounding follicles, (C) noncircular bands extending into the tumor area, and (D) hyalinized bands within the tumor area. Thickening of the capsule was not considered as sclerosis. Reduced follicular dendritic cells (FDCs) with (E) partial and (F) extended FDC networks with fully covered follicle. A-D, hematoxylin and eosin staining; E and F, CD23 staining.

 
Immunohistochemical Studies
We quantified the number of tumor cells (CD20, CD10) the proliferation index (Ki-67, Repp86), the T-cell content (CD3), follicular dendritic cells (FDCs; CD23), and macrophages (Ki-M1p) in the neoplastic follicles and in the interfollicular areas separately. For CD20, CD10, CD3, Ki-67, and Repp86, the percentage of positive cells in relation to all cells in the evaluated region was estimated. Macrophages positively identified by CD68 staining were counted in three randomly chosen high-power fields (0.4-mm diameter) by one pathologist (L.R.). Table A1 shows the scoring criteria (Appendix).

Statistical Analysis
The interdependency of histopathologic biomarkers at baseline was analyzed by standard statistical procedures. Group comparisons for numerical parameters were done by means of the Mann-Whitney U or Kruskal-Wallis tests, and comparisons of numerical parameters between follicular and interfollicular areas by means of the Wilcoxon signed rank test. Pearson's correlation coefficient was calculated for numerical parameters. Fisher's exact test was used for contingency tables.

To assess the prognostic impact of categoric histopathologic parameters on overall survival (OS) and time to treatment failure (TTF), Kaplan-Meier curves were calculated and group comparisons were done by means of the log-rank test. The prognostic impact of numerical parameters was assessed by univariate Cox regression and, if prognostic, adjusted for potential confounders by multiple Cox regression. Potential confounders considered were the Follicular Lymphoma International Prognostic Index (FLIPI)15 and the type of initial chemotherapy.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
Clinical Characteristics
We analyzed 158 of 551 patients with advanced-stage follicular lymphoma from the GLSG trial who were recruited between May 1996 and May 2000.11 One hundred six patients had been randomly assigned to receive either MCP (n = 56) or CHOP (n = 50) regimens. Four patients were not assigned (three received CHOP and one refused therapy). Forty-eight additional patients were assigned to CHOP therapy after the planned stop of initial random assignment. After initial chemotherapy, 47 responding patients underwent autologous stem-cell transplantation (ASCT), whereas 77 patients received interferon alfa (IFN{alpha}) maintenance therapy according to the study protocol.

Table 1 gives an overview of the clinical baseline characteristics of the patients. Because of trial inclusion criteria, the number of patients within the FLIPI low-risk group was relatively small. The median TTF was 33 months (median follow-up of patients without events, 75 months) and the 5-year OS was 80% (median not reached; median follow-up of patients without events, 80 months).


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Table 1. Clinical Baseline Characteristics of the Population Studied in This Report (n = 158) Compared With All Patients With Advanced-Stage Follicular Lymphoma Registered in the Trial (N = 551)

 
Cytology and Grading
Results of the morphologic evaluation are depicted in Table 2. In detail, 32 (21%) of the samples, neoplastic follicles, were composed of large centrocytes.12 In these cases, a significantly higher proliferation index was ascertained, as assessed by the elevated number of Ki-67–or Repp86-positive cells in comparison with FL with small centrocytes (Ki-67: median, 30% v 20%, P = .0002; Repp86: median 10% v 5%, P = .002; both Mann-Whitney U test).


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Table 2. Histopathologic Features of the Samples Studied in This Report

 
Marginal zone differentiation was detected in eight cases (5%), and a plasmacytoid/plasmacytic differentiation was recorded in five cases (3%), with one case displaying both features (Table 2). Because of the small numbers of cases in both groups, FLs displaying any kind of differentiation were lumped together for survival analysis. Neither cytologic variants nor tumor cell differentiation had any statistically significant influence on OS (log-rank P = .81 and .73, respectively).

All 155 samples with appropriate tissue quality were graded according to the WHO classification as grade 1 (n = 113), grade 2 (n = 36), or grade 3 (n = 6). Only one lymphoma was graded as 3b, whereas all other grade 3 lymphomas were diagnosed as grade 3a. Tumors containing follicles with different grades (one case with grades 1 + 2, one case with grades 1 + 3a, and one case with grades 2 + 3a) were assigned to the highest grade for survival analysis. The WHO grade was assessed in the lymphoma component with follicular growth. As shown in Figure 2A, no significant difference in OS was detectable between grade 1 and 2 lymphomas. All six grade 3 lymphoma patients were alive at the time of analysis. However, because this group of grade 3 lymphomas comprised only six patients, the difference in OS was not statistically significant (Fig 2A; log-rank P = .4).


Figure 2
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Fig 2. (A) Kaplan-Meier curve for overall survival stratified according to WHO grade. (B) Kaplan-Meier curve for overall survival stratified according to the presence or absence of tumor sclerosis (scler).

 
Growth Pattern and Sclerosis
Areas with a diffuse growth pattern accounting for 25% to 100% (median, 50%) of the tumor area analyzed were present in 12 samples (8%; Table 2). Patients with these lymphomas tended to show poorer survival than did patients with lymphomas displaying an exclusively follicular growth pattern (log-rank P = .07). In addition, we assessed the presence and significance of tumor sclerosis (Fig 1). The majority of the 22 cases with sclerosis were grade 1 lymphomas (n = 18; 16%). As shown in Figure 2B, presence of tumor sclerosis identified a patient cohort with significantly worse OS compared with patients without sclerosis (log-rank P = .0034). The relative risk of patients with sclerosis was 2.8 (95% CI,1.4 to 5.9). Sclerosis was found in all FLIPI risk groups (four of 22 low risk, eight of 67 intermediate risk, and nine of 64 high risk; Fisher's exact test P = .73). Moreover, the prognostic impact of sclerosis on OS was statistically significant after adjusting for the FLIPI parameters in a Cox model with a hazard ratio for sclerosis of 2.6 (95% CI,1.2 to 5.4; P = .0141) and after adjusting for the FLIPI parameters and type of initial therapy (2.2; 95% CI, 1.0 to 4.7; P = .0431). The localizations of the lymph node specimens displaying sclerotic areas were cervical (n = 6; 27%), abdominal (n = 5; 23%), inguinal (n = 6; 27%), retroperitoneal (n = 2; 9%), or unknown (n = 3; 14%).

Dissemination of Tumor Cells in the Interfollicular Compartment
The interfollicular areas are an integral tumor part in FL.16 The number of B cells and of CD10-positive tumor cells in the interfollicular compartment were closely correlated (Pearson's correlation, 0.69). There was a strong variation in the number of interfollicular CD10-positive tumor cells (median, 30%; range, 0% to 80%; n = 141). Interestingly, a high percentage of interfollicular CD10-positive cells was associated with a slightly shorter TTF (relative risk, 1.1; univariate Cox regression P = .04). However, we found no association between the content of CD10- or CD20-positive cells in the interfollicular area and OS (Tables 3 and 4).


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Table 3. Variability of Immunohistochemically Assessed Parameters in the Follicular and Interfollicular Compartment

 

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Table 4. Univariable Cox Regression for Overall OS and TTF

 
Immunophenotype and Proliferation
All FLs analyzed within the frame of this study were bcl-2 positive, and only one case was CD10 negative. Tumor cells in eight cases were CD23 positive. There was no association of CD23 expression with diffuse growth or OS (log-rank P = .6). High tumor cell proliferation in FL has been linked to inferior survival.17 Proliferation, as assessed by Ki-67 or Repp86 expression18 correlated in the follicular and the interfollicular compartment (Pearson's correlation, 0.81 and 0.60, respectively) and with WHO grade (Table 5). However, we failed to find an association between proliferation index and TTF or OS (Tables 3 and 4).


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Table 5. Percentage of Ki-67–or Repp86-Positive Cells in Correlation With WHO Grade

 
Quantification of Immune Bystander Cells
Gene expression profiling of FL has recently identified the quality of the host immune response to represent one of the major factors correlated with clinical outcome.10 Total T-cell content was assessed by estimating the number of CD3-positive cells, and macrophages were counted after staining with the pan-macrophage marker Ki-M1p (Tables 3 and 4). Additionally, the extent of networks of FDCs within the neoplastic follicles was evaluated using immunohistochemistry for CD23 (63 cases with reduced and 37 with expanded networks; Fig 1). We were unable to find any clinical correlation between T-cell, macrophage or FDC content, and TTF or OS (Tables 3 and 4).


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
The clinical course of FL in an individual patient usually is not predictable.3 Because treatment options in FL differ substantially with respect to their efficacy and particularly their adverse effects, the identification of patients with an unfavorable prognosis might facilitate a patient-tailored therapy.2 The recent development of the FLIPI may help to identify patients who are at high risk.7,15,19 In our patient cohort, we observed a clear separation of three risk groups both with respect to TTF (P = .0174) and OS (P = .0078) according to the FLIPI. Although the groups defined by the FLIPI differ in outcome, this method does not sufficiently identify patients with early treatment failure and, in addition, the FLIPI does not give information on the biology of tumors.7,15,19 Notable efforts have been made to identify characteristics of the tumor cells to define factors that might influence the clinical outcome. Genetic characteristics in FL, like the presence or absence of the translocation t(14;18) or other genetic alterations, have been reported to be of prognostic relevance.8,9,20 Histopathologic characteristics such as the growth pattern and the presence of sclerosis can easily be assessed in daily practice.1 However, most histopathologic markers have never been studied in prospective randomized trials with long follow-up.

The number of centroblasts within the neoplastic follicles has been described to yield prognostic information and was, therefore, incorporated into the grading system for FL in the WHO classification.1 Grading of FL according to the rules of the WHO, however, seems to be of poor reproducibility.21 In contrast to other studies,22 we did not find any difference in TTF or OS between FL grade 1 and FL grade 2 cases. Although the number of FL grade 3 cases in our series was small, there was no indication that these lymphomas have a more aggressive clinical course.17 Comparable to findings in other published series, we found a marginal zone or plasmacytoid/plasmacytic differentiation in only 9% of our cases.13 However, in contrast to one published study,13 we were unable to detect any correlation between tumor cell differentiation and TTF or OS in our series. Reports about the prognostic value of diffuse growth in FL are inconsistent.23-26 We found no significant association between diffuse growth and TTF or OS in our series of FL, although there was a tendency toward shorter OS in cases with a diffuse component.

The only histopathologic feature established in our series to have a statistically significant association with survival was the presence of tumor sclerosis. Tumor sclerosis is frequently observed in retroperitoneal biopsy specimens.27 A considerable number of lymph nodes with sclerosis in our series were from localizations other than retroperitoneal. The negative effect of tumor sclerosis on OS was still significant after adjusting for the FLIPI and the type of initial chemotherapy in a Cox model. We conclude that tumor sclerosis is a relevant histopathologic prognostic marker that can be easily assessed in daily diagnostic settings. However, sclerosis was observed in only 14% of the samples analyzed in our series and does not precisely distinguish between patients with long and short OS. Moreover, we analyzed lymph node specimens only. Therefore, it is unclear whether sclerosis in specimens in extranodal sites can also be used as a prognostic marker in FL.

Within the interfollicular compartment, lymphoma cells can be detected by their positivity for CD10, but the biologic significance of this feature is uncertain.16 The distribution of CD20- or CD10-positive interfollicular cells in our series was highly variable. However, the extent of interfollicular lymphoma cells is not associated with clinical outcome.

Increased tumor cell proliferation has been reported to be associated with shorter survival in FL.17 We applied two different proliferation markers to our series of lymphomas.18,28-30 Comparable to published reports,17,31 the proliferative index in our series increased with the number of centroblasts and higher WHO grade. However, no association between proliferation and TTF or OS was found in our series. Of note, a cytologic variant of FL with large centrocytes displayed increased proliferation, although these lymphomas usually contained only few centroblasts. The distinction between FL with large centrocytes from FL grade 3 may thus pose a diagnostic challenge.

Knowledge derived from gene expression profiling has greatly improved our understanding of the pathogenesis of B-cell lymphomas. In contrast to other lymphoma entities,32-36 many of the genes whose expression was found to be prognostically important in FL were not expressed by the tumor cells, but rather in bystander cells within the tumor.10,37 A follow-up study, testing the role of immune cells in paraffin embedded material revealed that a high content of macrophages was associated with poor clinical outcome.38 Although both studies differ in patient characteristics, our data as well as those of others39,40 do not support the value of the macrophage content as a predictor of clinical outcome. Comparable to results of other published studies,38,41 we found no association between T-cell content and TTF or OS. It should be take into consideration, however, that the results of gene expression studies strongly suggest that the presence of certain T-cell subsets within the tumor represent the prognostic marker in FL rather than the total number of T-cells.10,37 In line with this concept, recently the quantification of FOXP3-positive regulatory T cells, or CD8-, CD4-positive T cells, were reported to correlate with clinical outcome in FL.39-43 However, because the published data are contradictory to some extent, the prognostic role of all T-cell subsets has to be confirmed in patient cohorts from prospective randomized trials to solve this issue.

The high proportion of FLIPI high-risk patients in our patient cohort resulted from the trial inclusion criteria. Thus, our results can be interpreted only within the scope of the inclusion criteria of the trial. Nevertheless, we would not expect to detect a prognostic relevance of the histopathologic parameter assessed if limited-stage patients or patients without need of therapy had been included. This would be the case only if in those patients the parameters would have an extremely high impact.

For the many parameters without prognostic relevance for OS or TTF, we did not adjust for different therapies administered. Exploratory analyses, however, revealed no change of the results in the subgroup of MCP- or CHOP-treated patients. For sclerosis, the only prognostic factor identified, the prognostic value could be confirmed after adjustment for initial chemotherapy regimen. In addition, patients were randomly assigned to ASCT or IFN{alpha} maintenance, and for ASCT, a prolongation of OS has not been shown so far.

In summary, in our comprehensive approach to study histopathologic markers in FL to predict outcome, neither grading of FL nor the assessment of the proliferative index appears to be of clinical relevance. The presence of sclerosis within the lymphoma is a marker of poor prognosis independent of the FLIPI. Most importantly, new prognostic markers need to be confirmed in patients treated within prospective randomized trials.


    AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
The author(s) indicated no potential conflicts of interest.


    AUTHOR CONTRIBUTIONS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
Conception and design: Wolfram Klapper, Martin Dreyling, German Ott

Administrative support: Martin Dreyling

Provision of study materials or patients: Wolfgang Hiddemann

Collection and assembly of data: Wolfram Klapper, Lars Rölver, Dirk Janssen, Markus Tiemann, Heinz-Wolfram Bernd, Olaf Determann, Martin-Leo Hansmann, Peter Möller, Alfred Feller, Harald Stein, Hans-Heinrich Wacker, Martin Dreyling, Wolfgang Hiddemann

Data analysis and interpretation: Wolfram Klapper, Eva Hoster, Carsten Schrader, Martin Dreyling, Michael Unterhalt, German Ott

Manuscript writing: Wolfram Klapper, Eva Hoster, Martin Dreyling, Wolfgang Hiddemann, German Ott

Final approval of manuscript: Wolfram Klapper


    Appendix
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
Specimen Selection
The samples were selected by each of reference pathology center without knowledge of the clinical data by the following criteria: nodal biopsy, size of at least 1 cm2, and good histomorphology. Because of the nature of the morphologic review process, with at least two specialists evaluating the cases together, the stringent selection criteria, especially in respect of the morphologic assessability, not all FLs in the trial were analyzed.

The GLSG1996 trial included patients with Ann Arbor stage III or IV centroblastic-centrocytic lymphoma (according to the Kiel classification [Feller A, Diebold J. Berlin, Germany, Springer-Verlag, 2003]) corresponding to follicular lymphoma, grades 1 to 3a (according to the WHO classification [Jaffe E, Harris N, Stein H, et al. Lyon, France, IARC Press, 2001]), who were in need of treatment. Patients were randomly assigned to initial chemotherapy with CHOP (cyclophosphamide, doxorubicin, vincristine, and prednisone) and MCP (mitroxantrone, chlorambucil, and prednisolone) and patients younger than 60 years were randomly assigned between autologous stem-cell transplantation and interferon alfa maintenance therapy. Patients aged 60 years or older and responding to initial therapy received interferon alfa maintenance (Nickenig C, Dreyling M, Hoster E, et al. Cancer 107:1014-1022, 2006).

Immunohistochemical Studies
Immunohistochemical stainings for CD20, CD10, CD3, CD23, bcl-2 and Ki-67 were performed in the contributing centers with commonly used antibodies (Dogan A, Du MQ, Aiello A, et al. Blood 91:4708-4714, 1998). Staining for CD68 (Ki-M1p) and the proliferation marker Repp86 (Ki-S2) were performed in Kiel, as described previously (Martin AR, Weisenburger DD, Chan WC, et al. Blood 85:3671-3678, 1995; Schrader C, Janssen D, Meusers P, et al. Eur J Haematol 75:498-504, 2005; Buske C, Hoster E, Dreyling M, et al. Blood 108:1504-1508, 2006). All stainings were carefully evaluated and scored only if sufficient internal controls were present. The immunohistochemical stainings were scored by a least two expert hematopathologists reaching consensus at a multiheaded microscope. In a small series of cases, the number of macrophages were assessed by two pathologists independently with borderline significant reproducibility (data not shown).

Go


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Table A1. Scoring Criteria for the Immunohistochemical Markers

 


    ACKNOWLEDGMENTS
 
We thank Christiane Stange and Michael Weiss for excellent technical assistance and F. Leithäuser for support of the pathology panel meeting. This work is dedicated to Reza Parwaresch, who died during the project.


    NOTES
 
Authors' disclosures of potential conflicts of interest and author contributions are found at the end of this article.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
1. Jaffe E, Harris N, Stein H, et al: Pathology and Genetics of Tumours of Haematopoetic and Lymphoid Tissues. Lyon, France, IARC Press, 2001

2. Hiddemann W, Buske C, Dreyling M, et al: Treatment strategies in follicular lymphomas: Current status and future perspectives. J Clin Oncol 23:6394-6399, 2005[Abstract/Free Full Text]

3. Horning SJ: Natural history of and therapy for the indolent non-Hodgkin's lymphomas. Semin Oncol 20:75-88, 1993[Medline]

4. Horning SJ: Follicular lymphoma: Have we made any progress? Ann Oncol 11:23-27, 2000 (suppl)[Abstract/Free Full Text]

5. Hiddemann W, Kneba M, Dreyling M, et al: Frontline therapy with rituximab added to the combination of cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) significantly improves the outcome for patients with advanced-stage follicular lymphoma compared with therapy with CHOP alone: Results of a prospective randomized study of the German Low-Grade Lymphoma Study Group. Blood 106:3725-3732, 2005[Abstract/Free Full Text]

6. Forstpointner R, Unterhalt M, Dreyling M, et al: Maintenance therapy with rituximab leads to a significant prolongation of response duration after salvage therapy with a combination of rituximab, fludarabine, cyclophosphamide and mitoxantrone (R-FCM) in patients with relapsed and refractory follicular and mantle cell lymphomas - results of a prospective randomized study of the German low grade lymphoma study group (GLSG). Blood 108:4003-4008, 2006[Abstract/Free Full Text]

7. Gine E, Montoto S, Bosch F, et al: The Follicular Lymphoma International Prognostic Index (FLIPI) and the histological subtype are the most important factors to predict histological transformation in follicular lymphoma. Ann Oncol 17:1539-1545, 2006[Abstract/Free Full Text]

8. Viardot A, Moller P, Hogel J, et al: Clinicopathologic correlations of genomic gains and losses in follicular lymphoma. J Clin Oncol 20:4523-4530, 2002[Abstract/Free Full Text]

9. Horsman DE, Okamoto I, Ludkovski O, et al: Follicular lymphoma lacking the t(14;18)(q32;q21): identification of two disease subtypes. Br J Haematol 120:424-433, 2003[CrossRef][Medline]

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[Abstract/Free Full Text]

11. Nickenig C, Dreyling M, Hoster E, et al: Combined cyclophosphamide, vincristine, doxorubicin, and prednisone (CHOP) improves response rates but not survival and has lower hematologic toxicity compared with combined mitoxantrone, chlorambucil, and prednisone (MCP) in follicular and mantle cell lymphomas: Results of a prospective randomized trial of the German Low-Grade Lymphoma Study Group. Cancer 107:1014-1022, 2006[CrossRef][Medline]

12. Feller A, Diebold J: Histopathology of Nodal and Extranodal Non-Hodgkin's Lymphoma. Berlin, Germany, Springer-Verlag, 2003

13. Nathwani BN, Anderson JR, Armitage JO, et al: Clinical significance of follicular lymphoma with monocytoid B cells: Non-Hodgkin's Lymphoma Classification Project. Hum Pathol 30:263-268, 1999[CrossRef][Medline]

14. Lennert K, Feller A: Histopathology of Non-Hodgkin's Lymphoma. Berlin, Germany, Springer-Verlag, 1981

15. Solal-Celigny P, Roy P, Colombat P, et al: Follicular lymphoma international prognostic index. Blood 104:1258-1265, 2004[Abstract/Free Full Text]

16. Dogan A, Du MQ, Aiello A, et al: Follicular lymphomas contain a clonally linked but phenotypically distinct neoplastic B-cell population in the interfollicular zone. Blood 91:4708-4714, 1998[Abstract/Free Full Text]

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Submitted December 28, 2006; accepted May 3, 2007.


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