Non-Hodgkin lymphoma (NHL) is a heterogeneous group of chronic lymphoproliferative disorders originating in the B, T, or natural killer (NK) lymphocytes. It is characterized by abnormal proliferation of monoclonal lymphocytes in the peripheral blood, the bone marrow, the lymph node, or any other lymphoid tissue and is a major health concern globally. B-cell lymphoma represent 80–85% of all NHL cases, while T-cell lymphoma represent 15–20% of all NHL cases; NK lymphoma is rare [1].

Morphological diagnosis of NHL is based on lymph node biopsy. In patients with NHL, bone marrow biopsy (BMB) is an important for staging. However, the morphological evaluation by BMB to assess the involvement in the lymphoid malignancies can be challenging [2]. A comprehensive diagnosis of chronic lymphocytic leukemia (CLL) is essential to differentiate it from other NHL groups and for risk stratification, which is crucial for deciding the therapeutic approach [3].

Immunohistochemistry (IHC) allows a more precise diagnosis and characterization of NHL. IHC is useful for distinguishing between reactive and neoplastic lymphoid infiltration [4-6]. IHC also provides a visual impression of the patterns of infiltration and architectural relationship in addition to allowing long-term preservation and providing the feasibility of re-examination at any time [7].

The unique feature of lymphoma is clonal proliferation of lymphocytes arrested at different stages of differentiation, which recapitulates the stages of normal lymphocyte differentiation. IHC with various antibodies identifies the specific lineage and developmental stage of lymphoma [8].

Given the importance of cost optimization in the Indian healthcare system, an appropriate panel that would provide an accurate diagnosis at an affordable cost is crucial. Various studies have been conducted to investigate the utility of different markers and their combinations in the diagnosis and sub-typing of various types of NHL. The economic challenges in India occasionally make cost management more difficult, which has created the need to develop basic minimal screening panels. Hence, this study aimed to develop a primary screening panel that can differentiate the CLL group of NHL from the non-CLL group of NHL and a secondary panel for further subtyping of the non-CLL group wherever necessary.

The study included a total of 30 newly diagnosed cases of B-cell NHL with bone marrow infiltration over a period of 2 years from 2017 to 2019. All patients were included in the study after obtaining ethical clearance from the institutional ethical committee. All previously treated cases, those with precursor lymphoblastic lymphoma/leukemia, those with inadequate length of bone marrow biopsy samples (<1.5 cm), and those that did not show infiltration on bone marrow biopsy were excluded from the study.

BMB was the primary procedure for diagnosing B-cell NHL. All specimens were processed using routine histological techniques for paraffin embedding, and morphological assessment was performed using routine hematoxylin and eosin staining. Subtyping of the lymphoma was performed by immunophenotyping (IPT) using a panel of monoclonal antibodies on IHC (Table 1). The primary diagnostic panel of antibodies for B-cell NHL included CD19, CD20, CD79, CD5, CD23, CD10, Kappa, and Lambda. The extended panel of antibodies for further subtyping included CD30, CD45, CD56, Cyclin D1, BCL2, and BCL6.

Table 1

Immunophenotypic diagnostic criteria [9].

	CD19	CD20	CD23	CD5	CD79	CD10	BCL2	BCL6	Cyclin D1
CLL	+	+	+	+	Dim+	-	-	-	-
NHL (unclassified)	+	+	+	+	+	-	-	-	-
MCL	+	+	-	+	+	-	-	-	+
FL	+	+	-	-	+	+	+	-	-
DLBCL	+	+	-	+	+	+	-	+	-

Abbreviations: CLL, chronic lymphocytic leukemia; DLBCL, diffuse large B-cell lymphoma; FL, follicular lymphoma; MCL, mantle cell lymphoma; NHL, non-Hodgkin lymphoma.

The immunophenotypic diagnostic criteria depending on the expression of antibodies were used for subtyping of chronic lymphoproliferative disorders, as shown in Table 1 [9].

Statistics

SPSS 20.0 (IBM, Armonk, NY, USA) software was used for the statistical analysis. Kappa and lambda tests were also performed. Differences between the groups were considered significant only when the P-value was <0.05.

The mean patient age was 56.4 years (range, 21–86 yr). On complete blood examination, most cases (66.6%) had an elevated absolute lymphocyte count and atypical lymphocytosis on peripheral blood film. The most common clinical presentation was lymphadenopathy along with hepatomegaly or splenomegaly (63.3% cases). All cases were further subjected to BMB and IPT by IHC. Varied patterns of bone marrow infiltration were observed on bone marrow biopsy, including diffuse (most common), nodular, interstitial, and mixed. Cases were initially classified into the CLL and non-CLL groups. Cases in the non-CLL group were further subtyped.

Bone marrow aspiration revealed that a chronic lymphoproliferative disorder was present in most cases (63.3%). All cases were also subjected to BMB and IPT by IHC (Table 2).

Table 2

Distribution of cases on the basis of bone marrow aspiration findings.

BMA findings	N of cases	%
Chronic lymphoproliferative disorder	19	63.3
Chronic lymphocytic leukemia	4	13.3
Atypical lymphocytosis	5	16.6
Dry tap aspirate	2	6.66
Total cases	30	100

Abbreviation: BMA, bone marrow aspiration.

Classification of cases: Of the 30 cases included, 12 were classified into the CLL group (Fig. 1) and 18 were classified into the non-CLL group. An extended panel comprising Cyclin D1, BCL2, and BCL6 was used for subtyping the non-CLL cases. According to IHC, the non-CLL group (N=18) comprised four cases of mantle cell lymphoma (MCL) (Fig. 2), three cases of follicular lymphoma (FL) (Fig. 3), and two cases of diffuse large B-cell lymphoma (DLBCL). Nine of 18 cases were not subtyped and were considered B-cell NHL cases. Regarding light chain restriction, many cases were non-specific for Kappa (13/30) and Lambda (15/30) on IHC (Table 3).

Table 3

Distribution of cases based on bone marrow biopsy and immunohistochemistry findings.

IHC diagnosis	N of cases	%
CLL	12	40
CLL	12	40
Non-CLL	18	60
NHL (unclassified)	9	30
Mantle cell lymphoma	4	13.3
Marginal zone lymphoma	0	0
Hairy cell leukemia	0	0
Follicular lymphoma	3	10
Diffuse large B cell lymphoma	2	6.66
Total cases	30	100

Abbreviations: CLL, chronic lymphocytic leukemia; IHC, immuno-histochemistry; NHL, non-Hodgkin lymphoma.

Figure 1. Immunohistochemical profile of chronic lymphocytic leukemia showing CD19+, CD20+, CD5+, CD23+, CD79-, non-specific Lambda (immunohistochemistry, ×400).

Figure 2. Immunohistochemical profile of mantle cell lymphoma showing CD5+, CD79+, Cyclin D1+, CD23- (immunohistochemistry, ×400).

Figure 3. Immunohistochemical profile of follicular lymphoma showing CD19+ in the lymphoid follicle, CD10+ in the lymphoid follicle, BCL2+ in the lymphoid follicle, CD5-B cells in the lymphoid follicle with CD5+ scattered T-cells in the background (immunohisto-chemistry, ×400).

Recent pathology relies on IPT for the accurate classification of lymphomas. The current World Health Organization classification suggests the classification of lymphomas should be based on morphology supplemented by IPT. In the current study, we have discussed the role of IHC in the diagnosis and classification of NHL using BMB. A common primary panel, including CD19, CD20, CD5, CD10, CD23, CD79, CD45, kappa, and lambda, was used. CD5 expression, CD23 expression, dim CD79 expression, and weak surface immunoglobulin (Ig) positivity were the most significant findings in the CLL group. CD5 expression, positive or negative CD23 expression, strong CD79 expression, and strong surface Ig expression were the most common findings in the non-CLL groups. In our study, a screening panel comprising CD5, CD23, CD79, sIg, Kappa, and Lambda was adequate to distinguish between CLL and non-CLL groups. These findings were comparable to those reported by Dewan et al. [9], who divided CLL and non-CLL groups on the basis of positive reactivity to CD5 and CD23, weak SIg reactivity, and non-reactivity to FMC7 and CD79 [9]. An extended panel comprising Cyclin D1, BCL2, and BCL6 was used for subtyping of non-CLL cases.

Regarding light chain restriction, it was difficult to interpret the Ig light chain detection on IHC because of the background staining in paraffin-embedded blocks and antigen destruction by fixation and decalcification of BMB specimens. Many cases were non-specific for Kappa (13/30) and Lambda (15/30) on IHC. Similar findings were observed by Leers et al. [10], who reported the lack of contrast between surface Ig staining and extracellular Ig staining as a major drawback in the detection of monoclonality by IHC, and Abdel-Ghafar et al. [11], who observed destruction of some of the antigenic epitopes due to the fixation and decalcification processes. Based on our results, we propose a basic approach in the immunophenotypic analysis of all newly diagnosed cases of B-cell NHL. The screening panel should comprise the following markers: CD19, CD20 (B cell), CD23, CD79, CD5, CD10 (for further categorization), and Kappa and Lambda (monoclonality assessment). A limited primary panel comprising CD5, CD23, CD79, and sIg can be used to differentiate between CLL and non-CLL. The diagnosis of CLL, MCL, and marginal zone lymphoma (MZL) could be made in our study using the screening panel. Diagnosis of other types of B-cell NHL, including atypical CLL, hairy cell leukemia (HCL), FL, and DLBCL and confirmation of MCL in few cases require an extended panel comprising CD200, FMC7 (atypical CLL), CD25, CD103, CD123 (HCL), Cyclin D1 (MCL), BCL2 (FL), and BCL6 (DLBCL) on either flow cytometry or IHC. In most published articles, both IHC and flow cytometry have been reported to enhance the diagnostic potential of B-cell NHL and help the treating physician in planning the treatment accordingly.

Due to the unavailability of markers such as CD200, FMC7, CD25, CD123, and CD103 on IHC, the diagnosis of other types of NHL such as MZL and HCL was not possible. Another limitation of IHC in our study was non-specific and background staining for surface Igs (Kappa and Lambda).

A two-tier approach for the IHC panel can be adopted with a minimum primary panel for clonality assessment and differentiation into the CLL and non-CLL groups. An extended panel can be used whenever necessary for further subtyping and stratification.

The optimal minimal primary panel of antibodies for the diagnosis of B-cell NHL should be based on morphology. Depending on the findings of the primary panel, a secondary panel for further subtyping and stratification can be used.

No potential conflicts of interest relevant to this article were reported.