Literature DB >> 30724410

How useful is bone marrow study as an initial investigative tool without lymph node biopsy in malignant lymphoma?: Eleven years of experience at a single institution.

Woo-Jae Kwoun1, Jeong-Yeal Ahn1, Pil-Whan Park1, Yiel-Hea Seo1, Kyung-Hee Kim1, Ja Young Seo1, Hwan Tae Lee1, Kuai-Han Yoo2.   

Abstract

BACKGROUND: Bone marrow (BM) study plays an important role as initial investigation specimen of lymphoma as well as staging lymphoma. This study aimed to investigate the utility of BM studies for classification of lymphoma and evaluate features of BM involvement by lymphoma over a period of 11 years.
METHODS: A total of 1162 cases of BM studies for lymphoma evaluation were reviewed for the incidence of lymphoma subtypes, the percentage of marrow involvement, the pattern of involvement and discordance with histopathologic diagnoses of lymph nodes and other tissues.
RESULTS: A total of 255 of 1162 cases underwent BM study without pathologic information, and 108 cases show lymphoma involvement. Lymph node biopsy underwent in 66 cases, and 10 cases show discordant result between BM and lymph node biopsy. Seven discordant cases were due to insufficient further studies. Lymphoma was diagnosed only by BM study in 38 cases. Abnormal lymphocytes were found in BM aspiration in 34 cases. Also, abnormal clonal lymphocytes were detected by flow cytometry in 26 cases. Four cases showed disease-related chromosomal abnormalities. FISH analysis detected abnormal findings in two cases, however, discordant with other additional studies.
CONCLUSIONS: Discrepancies between the BM study and lymph node biopsy were due to insufficient further study and discordance of immunohistochemical stain result. BM study can be utilized as initial diagnosis of lymphoma by the combination of morphological feature, involvement pattern, and additional tests such as flow cytometry, chromosomal analysis, and FISH analysis. Thus, BM study with further analysis is an essential choice when lymph node biopsies are unavailable.
© 2019 The Authors Journal of Clinical Laboratory Analysis Published by Wiley Periodicals, Inc.

Entities:  

Keywords:  bone marrow involvement; bone marrow study; lymphoma diagnosis; lymphoma malignancies

Mesh:

Year:  2019        PMID: 30724410      PMCID: PMC6528564          DOI: 10.1002/jcla.22841

Source DB:  PubMed          Journal:  J Clin Lab Anal        ISSN: 0887-8013            Impact factor:   2.352


INTRODUCTION

Bone marrow (BM) study including aspiration and biopsy is a well‐established diagnostic procedure and is regarded as the standard for staging lymphoma patients. In some various clinical situations, BM biopsy may be the least invasive method or the only means of obtaining samples for the classification of lymphoma. Differential diagnoses can be made by BM using the morphologic and immunohistochemical (IHC) criteria used for lymph nodes biopsies,1 although other approaches of methods combined with BM biopsies, such as flow cytometry and IHC stain using lymph node infiltrates or extranodal specimens, have been used to define lymphoma subtypes. On the other hand, the diagnostic value of BM alone for the differential diagnosis of lymphoma has not been actively studied. In the present study, the utility of BM studies for the classification of lymphoma was investigated. Cases in which a BM was used for initial investigative specimens in lymphoma were analyzed, and cases in which a primary diagnosis of lymphoma made by BM study with or without following tissue biopsy were reviewed. BM lymphoma involvement ratios and the proportion of lymphomas staged by BM studies among all BM studies conducted throughout 11 years, and the incidence and BM involvement patterns of malignant lymphoma types were also reviewed.

METHODS

A total of 1162 BM studies for lymphoma evaluation conducted at Gachon University Gil Medical Center (Republic of Korea) from January 2006 to December 2016 were retrospectively reviewed. The BM biopsy involvement patterns of malignant lymphoma were classified into five types2: focal non‐paratrabecular with a discrete aggregate random pattern in the non‐paratrabecular area, focal paratrabecular, which molds against trabecular bone, intrasinusoidal which aligns inside identifiable sinuses, diffuse interstitial, which infiltrates among normal hematopoietic cells, and diffuse solid type, which causes complete effacement of marrow space between several trabecular bones. Histopathologic diagnoses of lymph nodes and other tissues except BM were reviewed. All BM biopsy specimens were fixed with formalin and embedded in paraffin. BM biopsy sections were stained with hematoxylin and eosin (H&E). IHC staining for CD20, CD10, CD3, CD5, cyclin D1, BCL2, BCL6, CD15, CD30, Ki67, MUM1, and CD138 was reviewed for a diagnosis of BM involvement and involvement pattern. Two expert hematologists independently reviewed lymphoma BM involvement and involvement pattern for each case. Disagreements were resolved by exchange opinions of decisional evidence of a pattern and matched with BM biopsy slides and adopted an adequate involvement pattern. Lymphoma was diagnosed based on the WHO classification of hematopoietic tumors. Statistical analysis was performed using Spearman’s correlation analysis to assess annual trends in lymphoma case numbers and the involvement frequencies of each lymphoma type.

RESULTS

Bone marrow study for lymphoma evaluation of 11 years

A total of 6324 cases of BM studies were performed during the study period. A total of 1162 (18.4%) cases underwent BM study for lymphoma, and 255 (21.9%) cases of those were initially diagnosed lymphoma without any pathologic information obtained using some other specimen. Of the 1162 malignant lymphoma cases, 1091 (93.9%) were of non‐Hodgkin’s lymphoma (NHL). The most common was B‐cell lymphoma (BCL; 883 cases, 76.0%), followed by T‐/NK‐cell lymphoma (TCL; 208 cases, 17.9%) and Hodgkin lymphoma (HL; 71 cases, 6.1%). When malignant lymphoma annual incidences were compared, the proportions of diffuse large B‐cell lymphoma, follicular lymphoma, and CLL/SLL showed significant increases among B‐cell lymphomas (Table 1).
Table 1

Incidences and bone marrow involvement frequencies of malignant lymphoma subtypes from 2006 to 2016

No. (%)’06’07’08’09’10’11’12’13’14’15’16Spearman’s correlationBone marrow involvement (% of incidence)
Total1162 (100)4994935911613795140118105156235 (20.2)
Mature B‐cell neoplasms883 (76)3659764293108821058080122180 (20.4)
Chronic lymphocytic lymphoma/small lymphocytic lymphoma19 (1.6)12132424 0.656/0.028 16 (84.2)
Burkitt lymphoma20 (1.7)4235312−0.164/0.63114 (70)
Mantle cell lymphoma41 (3.5)2225984450.531/0.09320 (48.8)
Follicular lymphoma36 (3.1)2421445410 0.823/0.002 17 (47.2)
Diffuse large B‐cell lymphoma558 (48)2433542354755065425781 0.656/0.028 82 (14.7)
External marginal zone lymphoma of mucosa‐associated lymphoid tissue (MALT lymphoma)168 (14.5)618174251426142012120.050/0.8839 (5.4)
Waldenström macroglobulinemia4 (0.3)1120.319/0.3394 (100)
Lymphoplasmacytic lymphoma9 (0.8)33120.459/0.1553 (33.3)
B‐cell lymphoma, unclassifiable, with features intermediate between DLBCL and classical Hodgkin lymphoma7 (0.6)21220.277/0.4091 (14.3)
Splenic marginal zone B‐cell lymphoma2 (0.2)20.200/0.5552 (100)
Nodal marginal zone lymphoma1 (0.1)1−0.300/0.3701 (100)
Pediatric nodal marginal zone lymphoma2 (0.2)2−0.200/0.5550 (0)
Splenic B‐cell lymphoma/leukemia, unclassifiable1 (0.1)10.200/0.5551 (100)
Unclassified15 (1.3)222124210 (66.7)
Mature T and NK neoplasms208 (17.9)13231313212292930161948 (23.1)
Peripheral T‐cell lymphoma, NOS57 (4.9)47411022612450.170/0.61720 (35.1)
Angioimmunoblastic T‐cell lymphoma47 (4)282282132620.084/0.80512 (25.5)
Extranodal NK‐/T‐cell lymphoma, nasal type59 (5.1)04481010448340.014/0.9665 (8.5)
Anaplastic large‐cell lymphoma19 (1.6)222212440.058/0.8666 (31.6)
Enteropathy‐associated T‐cell lymphoma12 (1)242220.510/0.1090 (0)
Mycosis fungoides2 (0.2)20.500/0.1170 (0)
Subcutaneous panniculitis‐like T‐cell lymphoma2 (0.2)20.300/0.3700 (0)
Hydroa vacciniforme‐like lymphoproliferative disorder1 (0.1)1−0.300/0.3700 (0)
Aggressive NK‐cell leukemia1 (0.1)1−0.300/0.3711 (100)
Unclassified8 (0.7)222114 (50)
Hodgkin lymphoma71 (6.1)124427468915−0.300/0.3707 (9.9)

Spearman's correlation coifficient with P < .05 is marked in bold.

Incidences and bone marrow involvement frequencies of malignant lymphoma subtypes from 2006 to 2016 Spearman's correlation coifficient with P < .05 is marked in bold. Bone marrow involvement was identified in 235 of 1162 cases underwent BM study for lymphoma. Of these 235 cases, 180 (20.4%) were of B‐cell lymphoma, 48 (23.1%) were of T‐ and NK‐cell lymphoma, and 7 cases (9.9%) were of Hodgkin’s lymphoma. The lymphoma with the highest BM involvement rate was chronic lymphocytic lymphoma/small lymphocytic lymphoma (CLL/SLL), which was observed in 16 cases (84.2%), and involvement rates in Burkitt lymphoma (BL), mantle cell lymphoma (MCL), follicular lymphoma (FL), and diffuse large B‐cell lymphoma (DLBCL) were 70% (14 cases), 48.8% (20 cases), 47.2% (17 cases), and 14.7% (82 cases), respectively. Among T and NK cells, the rates of lymphoma with marrow involvement involving ≥10 cases were 35.1% (20 cases) for peripheral T‐cell lymphoma (PTCL) and 25.5% (12 cases) for angioimmunoblastic T‐cell lymphoma (AITL). Table 2 and Figure 1 summarize the involvement patterns of lymphoma types in each marrow involvement case. Of the B‐cell lymphomas, the favored involvement patterns of DLBCL were a diffuse interstitial pattern (39.7%). In MCL, both focal non‐paratrabecular (27.8%) and diffuse interstitial (27.8%) patterns were common. FL preferred focal paratrabecular (31.3%) and diffuse solid (31.3%) patterns. CLL exhibited both diffuse interstitial (40%) and diffuse solid (40%) patterns. BL predominantly adopted the diffuse solid pattern (55.6%). For T‐ and NK‐cell lymphomas, PTCL mainly presented the diffuse interstitial pattern (33.3%), whereas AITL favored the focal non‐paratrabecular (33.3%) and diffuse interstitial (33.3%) patterns.
Table 2

Bone marrow involvement patterns of malignant lymphoma by subtype

Involvement patterns
Focal non‐paratrabecular (% of total)Focal paratrabecular (% of total)Intra‐sinosoidal (% of total)Diffuse interstitial (% of total)Diffuse solid (% of total)
Mature B‐cell neoplasms
Diffuse large B‐cell lymphoma11 (15.1)7 (9.6)8 (11)29 (39.7)18 (24.7)
Mantle cell lymphoma5 (27.8)2 (11.1)1 (5.6)5 (27.8)5 (27.8)
Follicular lymphoma5 (31.3)2 (12.5)4 (25)5 (31.3)
Chronic lymphocytic lymphoma/small lymphocytic lymphoma2 (13.3)1 (6.7)6 (40)6 (40)
Burkitt lymphoma4 (44.4)5 (55.6)
Marginal zone B‐cell lymphoma of MALT2 (25)2 (25)3 (37.5)1 (12.5)
Lymphoplasmacytic lymphoma1 (33.3)1 (33.3)1 (33.3)
Nodal marginal zone lymphoma1 (100)
Splenic B‐cell lymphoma1 (100)
Splenic B‐cell lymphoma/leukemia, unclassifiable1 (100)
B‐cell lymphoma, unclassifiable, with features intermediate between DLBCL and classical Hodgkin lymphoma1 (100)
Waldenström macroglobulinemia4 (100)
Mature T and NK neoplasms
Peripheral T‐cell lymphoma, NOS2 (11.1)5 (27.8)6 (33.3)5 (27.8)
Angioimmunoblastic T‐cell lymphoma4 (33.3)2 (16.7)4 (33.3)2 (16.7)
Anaplastic large‐cell lymphoma2 (33.3)1 (16.7)3 (50)
Extranodal NK‐/T‐cell lymphoma, nasal type2 (40)1 (20)2 (40)
Hodgkin lymphoma1 (16.7)5 (83.3)
Total3125136464
Figure 1

Proportion of involvement patterns by type of lymphoma

Bone marrow involvement patterns of malignant lymphoma by subtype Proportion of involvement patterns by type of lymphoma

Initial evaluation of lymphoma by bone marrow study

Table 3 presents annual BM study numbers, proportions of lymphoma evaluations, and types of initial investigation specimens. BM cases increased during the study period (Spearman’s correlation 0.836, P‐value <0.05), but no significant change was observed in the annual proportion of lymphoma cases evaluated (P‐value >0.05). However, BM study cases for initial evaluation of malignant lymphoma did eventually increase during the study period (P = 0.019), for example, nine cases (17.3%) in 2006 and 38 cases (24.4%) in 2016 (Table 1, Figure 2). In cases first evaluated for lymphoma by BM study, 108 (42.4%) of 255 cases showed lymphoma BM involvement. Sixty‐six cases (61.1%) underwent tissue biopsy after BM study.
Table 3

Proportions and frequencies of initial investigation specimen in malignant lymphoma over the study period

’06’07’08’09’10’11’12’13’14’15’16TotalSpearman’s correlation
No. (%)No. (%)No. (%)No. (%)No. (%)No. (%)No. (%)No. (%)No. (%)No. (%)No. (%)No. (%)
Total BM study365 (100.0)437 (100.0)503 (100.0)592 (100.0)612 (100.0)637 (100.0)610 (100.0)652 (100)654 (100)593 (100)669 (100)6324 (100) 0.836/0.001
Lymphoma evaluation49 (13.4)94 (21.5)93 (18.5)59 (10.0)116 (19.0)137 (21.5)95 (15.6)140 (21.5)118 (18.0)105 (17.7)156 (23.3)1162 (18.4)0.291/0.385
Initial investigation
Other tissue43 (82.7)87 (92.6)84 (90.3)47 (79.7)96 (82.1)95 (68.3)71 (74.7)103 (73.6)86 (73.3)80 (76.2)118 (75.6)909 (78.1)0.691/0.019
Bone marrow specimen9 (17.3)7 (7.4)9 (9.7)12 (20.3)20 (17.9)42 (31.7)24 (25.3)37 (26.4)32 (26.7)25 (23.8)38 (24.4)255 (21.9) 0.691/0.019

Spearman's correlation coifficient with P < .05 is marked in bold.

Figure 2

A, Proportion of bone marrow biopsies for lymphoma and (B) initial investigative specimens

Proportions and frequencies of initial investigation specimen in malignant lymphoma over the study period Spearman's correlation coifficient with P < .05 is marked in bold. A, Proportion of bone marrow biopsies for lymphoma and (B) initial investigative specimens Types of lymphoma, concordance with lymph node biopsy, and BM involvement patterns are detailed in Table 4. Lymphoma cases with insufficient evidence for differential diagnosis in BM considered discordant with lymph node biopsy result. The chromosomal study was not done in two cases of AITL due to failing to aspirate BM sample. In those 108 cases, DLBCL occupied the most significant portion of B‐cell neoplasm, and AITL was the most common T‐cell neoplasm. Flow cytometric analysis was performed in 43 cases, and FISH analysis was performed to further evaluation of cytogenetic features in 10 cases.
Table 4

Bone marrow and additional studies for malignant lymphoma without pathologic information

No.Bone marrow involvementInadequate biopsyAdditional tests
Additional biopsy/concordance with BMChromosomal studyChromosomal abnormality/disease relatedFISH analysis/disease relatedFlow cytometry/concordance with lymph node biopsy
Total255108 (42.4%)66/5625322/81043
Mature B‐cell neoplasms
Diffuse large B‐cell lymphoma11028418/161108/25/5
Follicular lymphoma131111/10133/−8/8
Mantle cell lymphoma1398/6131/−3/25/4
Marginal zone B‐cell lymphoma of MALT821/18−/−2/12/2
Burkitt lymphoma7721/174/41/14/3
Chronic lymphocytic lymphoma/small lymphocytic lymphoma222/22−/−2/2
Lymphoplasmacytic lymphoma4241/−2/1
Waldenström macroglobulinemia221/12−/−1/1
B‐cell lymphoma, unclassifiable, with features intermediate between DLBCL and classical Hodgkin lymphoma202−/−
Splenic marginal zone B‐cell lymphoma221/12−/−1/1
Nodal marginal zone lymphoma111/11−/−
Splenic B‐cell lymphoma/leukemia, Unclassifiable111/11−/−
Unclassified139131/−2/−7
Mature T and NK neoplasms
Angioimmunoblastic T‐cell lymphoma2089/418−/−2/–
Peripheral T‐cell lymphoma, NOS1175/511−/−
Anaplastic large‐cell lymphoma1163/3113/24/−
Extranodal NK‐/T‐cell lymphoma, nasal type515−/−1/1
Enteropathy‐associated T‐cell lymphoma202−/−
Aggressive NK‐cell leukemia1111/−
Unclassified6426−/−
Hodgkin lymphoma2154/421−/−1/−
Bone marrow and additional studies for malignant lymphoma without pathologic information Sixty‐six (61.1%) of 108 primarily diagnosed by BM lymphoma cases underwent additional tissue biopsy after BM study. One DLBCL case, two mantle cell lymphoma cases, and four AITL cases were considered discordant with biopsy results due to an insufficient evaluation of the BM sample. Discrepancies in results between tissue biopsy and BM biopsy were confirmed for three patients (Table 5). One patient with monoclonal protein and enlarged lymph nodes diagnosed as mature B‐cell neoplasm by BM study. Abnormal lymphocytosis in peripheral blood and marrow nucleated cells were almost replaced with abnormal lymphocytes. Flow cytometric analysis identified abnormal lymphocytes were clonal mature B cells with lambda restriction. Abnormal lymphocytes in marrow biopsy were negative in CD3, CD5, and CD79a IHC stain. However, no clonal B lymphocytes were found in IHC stain of excision lymph node biopsy. Abnormal lymphocytes in the lymph node were positive in CD3, CD4, and BCL‐2 IHC stain. The final diagnosis of lymph node biopsy was AITL. Another patient diagnosed marginal zone lymphoma in BM study shows the diffuse interstitial involvement of CD5‐negative, CD10‐negative abnormal lymphocyte. Flow cytometric analysis was also consistent with BM study result. However, abnormal lymphocytes in the lymph node were focally positive in CD10 in IHC of additional lymph node biopsy, thus follicular lymphoma was diagnosed in lymph node biopsy. The third patient was diagnosed with diffuse large B‐cell lymphoma/leukemia by BM study. Large abnormal lymphocytes replaced almost all nucleated cells in BM. They were identified as CD5‐positive, CD10‐negative mature B cell in flow cytometric analysis. Cyclin D1 IHC stain of abnormal lymphocytes was negative in BM biopsy section. Large‐sized abnormal lymphocytes were also found in lymph node biopsy. Lymphoma cells in lymph nodes have mixed pathologic feature of both DLBCL and MCL. They were positive for cyclin D1, BCL‐2, BCL‐6, and MUM1 in IHC stain and large sized. Thus, this patient was finally diagnosed as pleomorphic mantle cell lymphoma/leukemia. The other 48 cases of lymphoma diagnosed by BM were concordant with lymph node biopsy findings.
Table 5

Cases with a discrepancy in results between bone marrow and lymph node biopsy

Bone marrowLymph node biopsy
Case 1
Flow cytometryCD19(+), CD16(+) CD56(+), sIg lambda
IHC stainCD3(−), CD5(−), CD79a(−)CD3(+) CD4(+), BCL‐2, kappa/lambda—polyclonal
Chromosome45,X, −X[3]/46,XX[17]
Monoclonal proteinIgM kappa type
DiagnosisMature B‐cell lymphomaAngioimmunoblastic T‐cell lymphoma
Case 2
Flow cytometryCD19(+), CD20(+), lambda
IHC stainCD79a(+), CD20(+), CD10(−),CD20(+), Bcl‐2(+), Bcl‐6(+), focal CD10(+), cyclin D1(−)
Chromosome47,XY,?add(1)(q42),+3,?i(8)(q10)[2] /46,XY[8]
Monoclonal proteinIgM, lambda type
DiagnosisMarginal zone lymphomaFollicular lymphoma
Case 3
Flow cytometryCD45(+), HLA‐DR(+), CD19(+), CD20(+), CD22(+), CD5(+)
IHC stainCD20(+),CD5(+), CD10 weak(+), cyclin D1(−),CD20(+), BCL2(+), BCL6(+), CD10 focal weak(+), CD5(+), cyclin D1(+), MUM1(+)
Chromosome46,XY[20]
DiagnosisDiffuse large B‐cell lymphomaPleomorphic mantle cell lymphoma
Cases with a discrepancy in results between bone marrow and lymph node biopsy In 38 (35.1%) of the 108 cases, lymphoma diagnosed mainly on BM examination without tissue biopsy (Table 6). In 34 cases (89.5%) of those 38 cases, abnormal lymphocytes were identified in BM aspiration. Abnormal lymphocyte proportion in aspiration were varied from 1% to 98%, and flow cytometric analysis was performed except for lymphoma with around 1% of abnormal lymphocyte in BM aspirate sample. Twenty‐six (68.4%) of 38 cases of lymphoma candidates exhibited clonality in the lymphocyte population and found to express specific CD antigens by flow cytometry. A chromosomal study was performed on all 38 cases. Complex karyotype was found in several cases. However, the relationship between lymphoma subtypes was not clarified. Disease‐related chromosomal abnormalities were found in three Burkitt lymphoma cases. Additional FISH analysis for significant gene rearrangement in non‐Hodgkin lymphoma was done in four cases and provided a suspicious IGH/CCND1 rearrangement in one case. However, morphologic features and CD5 negativity were not consentient with mantle cell lymphoma, thus diagnosed as marginal zone B‐cell lymphoma. Twenty‐nine (76.3%) of 38 lymphoma diagnosed cases were diagnosed as mature B‐cell neoplasms and 8 (21.1%) cases as mature T and NK neoplasms.
Table 6

Malignant lymphoma cases diagnosed by bone marrow study

Abnormal lymphocytes in aspiration, %Bone marrow involvement patternProtein electrophoresisChromosomal studyFISH analysisFlow cytometry
Diffuse large B‐cell lymphoma
Case 13.80FPNo M‐bandComplex
Case 2‐3DSComplex CD5(−), CD10(−) Mature B‐cell neoplasm
Case 4‐5FPIgG, KappaNormal
Case 647.20DSNo M‐bandNormal
Case 71.20DINormal
Burkitt lymphoma
Case 8over 95DSComplex karyotypic clone with t(8;14)(q24;q32) CD5(−), CD10(−) Mature B‐cell neoplasm
Case 9‐1058Complex karyotypic clone with t(8;22)(q24.1;q11.2) CD5(−), CD10(+) Mature B‐cell neoplasm
Case 11‐131DI, DSNormal
Mature B‐cell lymphoma
Case 1419DINo M‐banddel(5q) clone CD10(+) Mature B‐cell neoplasm
Case 1529.40FPNormalNormal CD5(−), CD10(−) Mature B‐cell neoplasm
Case 1663DSNormal CD5(−), CD10(−) Mature B‐cell neoplasm
Case 171DSNormal
Chronic lymphocytic lymphoma/small lymphocytic lymphoma
Case 18‐1939.80DINormal CD5(−), CD10(−) Mature B‐cell neoplasm
Lymphoplasmacytic lymphoma
Case 2016.40ISIgM, KappaNormal CD5(−), CD10(−) Mature B‐cell neoplasm
Case 2123.40DSNo M‐bandTrisomy 8
Marginal zone B‐cell lymphoma
Case 2242.60DINo M‐bandNormalSuspicious IGH/CCND1 rearrangement CD5(−), CD10(−) Mature B‐cell neoplasm
Case 2398.60DSNormal CD5(−), CD10(−) Mature B‐cell neoplasm
Blastoid mantle cell lymphoma
Case 2481.40DINormal (very few mitoses)Normal CD5(−), CD10(−) Mature B‐cell neoplasm
Mantle cell lymphoma
Case 258.60ISNormal CD5(+), CD10(−), bright CD20(+), bright lambda(+) Mature B‐cell neoplasm
Waldenström macroglobulinemia
Case 2624.20DSIgM, KappaNormalCD5(−), CD10(−) Mature B‐cell neoplasm.
R/O) CLL or follicular lymphoma
Case 2759.00DINormal CD5(−), CD10(+) Mature B‐cell neoplasm
R/O) PLL or blastoid mantle
Case 2870.20DINormal (Very few mitoses)TP53 deletion CD5(−), CD10(−) Mature B‐cell neoplasm
Splenic marginal zone lymphoma
Case 2947.20DSNormal CD5(−), CD10(−) Mature B‐cell neoplasm
NK‐cell lymphoma/leukemia
Case 3084DSComplexCD16(+),CD56(+), CD5(−)
Case 3114.80DINormalCD56(+), CD3(+), CD2(+), CD5(−)
Case 32‐3324DSNormalCD16(+), CD56(+), CD5(−)
Anaplastic large T‐cell lymphoma
Case 34‐3543.80DSComplex hypotetraploid clone CD4(−), CD8(−) Mature T‐cell neoplasm
Peripheral T‐cell lymphoma, NOS
Case 361.20FPNormal
Mature T‐cell lymphoma
Case 379.00ComplexCD2(+), sCD3(+), CD7(+), CD16(+), CD56(+)
Hodgkin lymphoma
Case 383.60DSNormal

DI, diffuse interstitial; DS, diffuse solid; FP, focal paratrabecular; IS, intrasinusoidal.

Malignant lymphoma cases diagnosed by bone marrow study DI, diffuse interstitial; DS, diffuse solid; FP, focal paratrabecular; IS, intrasinusoidal.

DISCUSSION

Malignant lymphoma is typically diagnosed and classified using tissue biopsies, such as lymph node biopsies. The incidence of lymphoma in the United States has steeply increased from the 1980 to 2000s.3 Nowadays as increasing lymphoma cases, diagnosis of lymphoma is diagnosed using tissue and BM biopsies. In this study, we investigated the incidences of lymphomas classified in accord with the WHO classification scheme and marrow lymphoma involvement frequencies and patterns and also investigated the utility of BM study as an initial diagnostic specimen of malignant lymphoma. The American Society of Clinical Oncology has made a recommendation regarding the initial evaluation and staging of lymphoma.4 According to their recommendations, excisional biopsy is preferred to obtain adequate tissue for diagnosis, and that core‐needle biopsy is considered when an excisional biopsy is not possible. Regarding lymphoma staging, BM biopsy is still regarded as the standard. However, many noninvasive procedures, such as radiologic examinations, have been studied for use in define BM involvement. In a recent study, it was suggested a BM study is not required for routine evaluations of patients with HL if PET‐CT performed. Marrow involvement in the advanced‐stage disease like DLBCL is usually sufficiently depicted by PET‐CT, and BM biopsy provides little additional staging information. However, BM biopsy is indicated when a PET/CT scan is negative.4, 5 In another study, it was suggested BM biopsy could provide information in addition to BM involvement, such as information on the hematologic status of patients.9 The present study shows a trend toward the initial diagnosis of lymphoma using BM specimens, which suggests BM biopsy is likely to remain an essential tool for the diagnosis and staging of lymphoma. The total number of BM cases increased over the 11‐year study period, but the proportion of BM study for lymphoma evaluation did not increase significantly. Nevertheless, the absolute number of lymphoma evaluation of BM study cases was increased as increasing total number of BM study. The purpose of BM study in lymphoma patients was disease staging in most of our cases. Many studies have been conducted on the prevalence of malignant lymphoma types and rates of bone marrow involvement. In the present study, most lymphoma cases were NHL, and DLBCL was the most common lymphoma type of NHL, followed by MALT, MCL, and CLL. DLBCL was the most common lymphoma in another study conducted in a Spanish university hospital, an institute in Taiwan, and a report issued in North China. However, the second most common type differed among the studies.10, 11 The present study found BM involvement frequencies in some lymphoma types differ from previous reports. BL involvement had the second highest frequency (70%); however, involvement rates were much lower (1.8%‐35%) in previous reports, and in case of T‐cell lymphoma, the incidence of AITL is lower than other studies (>50%).13, 14 According to a study conducted by Stanford University, in which lymphoma incidence from 1992 to 2001 was reviewed, follicular lymphoma showed BM involvement most frequently followed by DLBCL. Study of The Korean Lymphoma Working Party from 1995 to 2006, a decade of research in a single Spanish institution, a single institution in Taiwan and North China found DLBCL showed the highest BM involvement incidence. In the present study, which was performed in our institution for over 11 years, DLBCL was the most common, followed by MALT, MCL, and CLL. Lymphoma has characteristic bone marrow involvement patterns, and thus, hematologists can predict lymphoma types based on lymphoma cell morphology and these involvement patterns by H&E staining without IHC staining. Focal non‐paratrabecular type in CLL/SLL, focal paratrabecular type in FL, intrasinusoidal type in SML, and diffuse interstitial type in BL are well‐known favored involvement patterns of these lymphomas.13, 14 In the present study, involvement patterns well matched those described in previous studies, except for CLL/SLL. In previous studies, CLL/SLL favored a diffuse interstitial and focal non‐paratrabecular pattern,12, 15, 16 whereas in the present study, it favored diffuse interstitial and diffuse solid patterns. The number of BM studies for lymphoma evaluations increased from 49 to 156 cases over the 11‐year study period, and the proportion of BM studies as initial investigative specimens also increased. After lymphoma evaluation in BM study, about 61.1% of cases performed lymph node biopsies. When lymphoma was identifiable in BM study, overall concordance between BM and lymph node biopsy diagnosis was 84.85% (56 of 66 cases). B‐cell lymphoma cases were more concordant between the two samples than T‐cell lymphoma cases (88.89% vs 70.59%). Thomas Buhr et al18 have previously reported a concordance rate of BM and lymph node biopsy in 124 patient was 91% in all types of lymphoma. Likewise in our study, the concordance rate of those was high (84.85%). Among the 66 cases where additional tissue biopsy was performed after BM study, 3 cases show discrepancies in diagnosis between BM and lymph node specimen. Discrepancies in two cases were due to contradictory IHC results of disease‐specific CD antigen between BM biopsy and tissue biopsy. In large B‐cell lymphocyte case, which found in both BM sample and lymph node, the abnormal lymphocytes in the lymph node were positive for BCL‐2, BCL‐6, MUM1, and cyclin D1 stain. Moreover, considering morphologic features, DLBCL was provisionally diagnosed. After that, diagnosis changed after discussion in Hematopathology Study Group of Korean Society of Pathologists to pleomorphic mantle cell lymphoma (PMCL) with aberrant expression. FISH panel study of frequent genetic abnormality in NHL was recommended for further research but not enforced. Large abnormal lymphocytes in BM were diagnosed as CD5(+), cyclin D1(−) DLBCL. IHC stain results of cyclin D1 were different in BM and LN, which seems to have led to different diagnoses. Pleomorphic features of PMCL resemble DLBCL. Expression of cyclin D1 supports distinguishes MCL from DLBCL. However, previous literature has reported about 2% of morphologic compatible DLBCL were PMCL, and 40% of them were cyclin D1‐negative PMCL.19 Thus, there was a limitation to determine which diagnosis is proper diagnosis without extra IHC stain, or gene mutation study. In one AITL case, abnormal lymphocytes of different lineage were found in BM biopsy and lymph node biopsy. A study found that the immunophenotype of AITL can vary among the site of involvement, and in rare, monotypic B cells concurrent in a different site. AITL found in bone marrow specimens frequently show altered CD3 expression with loss of CD3.20 These characteristic phenotypic differences can affect our case. Thus, IHC screening with CD3 may not detect AITL cells due to complete loss of CD3. In three of the cases with the discrepancy, two cases could be considered as an effect of a rare variant. Thus, differences in diagnosis between BM and lymph node biopsy may exist in rare lymphoma variant. Although high concordance rates were previously reported between BM biopsy and lymph node biopsy for low‐grade and high‐grade B‐cell lymphoma,15, 18 clinical features also have great clues. Thus communication among clinicians is necessary to reach a proper diagnosis. Lymphoma diagnosed solely by BM study without tissue biopsy constituted 38 cases of BM studies conducted for initial lymphoma evaluation. Flow cytometric analysis, chromosomal study, FISH analysis, and protein electrophoresis were performed to reinforce the diagnostic power of BM studies. Flow cytometric analysis provides information about the presence of a clonal lymphoid cell population and the expression of particular CD antigen in these cells and also provides guidance regarding the selection of appropriate IHC stains for the differential diagnosis of lymphoma. In our study, flow cytometry was performed with the aspirate sample in 24 of 38 cases, and clonal lymphocyte was detected in all the 24 cases. Of the 24 cases, 19 were B‐cell lymphomas. Flow cytometry confirmed the expression of CD10, CD5, and kappa or lambda restriction in every clonal B lymphocytes. Screening result of abnormal lymphocytes became the basis for appropriate application of IHC stain on BM biopsy section. Also, chromosomal studies provided disease‐specific information. The chromosomal study detected disease‐related abnormality in two Burkitt lymphoma cases. A FISH study was undergone in few cases, and in one case found lymphoma‐related chromosomal abnormality. FISH analysis detected MCL‐related gene rearrangement in one of two MZL cases; however, the result is discordant with other additional studies and morphologic features. Although additional analysis does not always provide useful results, these studies can provide critical information for the differential diagnosis of lymphoma. The preferred BM involvement patterns of different malignant lymphoma types are well known, and thus, BM involvement patterns can give diagnostic clues, as in tissue biopsies. In summary, this study shows initial investigations of malignant lymphoma using BM specimens increased during the period 2006‐2016, which demonstrates the growing importance of BM study as an investigative tool for malignant lymphoma. Although not all lymphoma involves BM, BM study which has high concordance rate with lymph node biopsy can be an acceptable choice for diagnosing lymphoma. Furthermore, combined with morphological feature and involvement pattern from BM biopsy and additional laboratory tests, such as flow cytometry, chromosomal study, FISH analysis, and clinical information, BM study offers a powerful means of diagnosing lymphoma.
  18 in total

1.  Bone marrow trephine biopsy involvement by lymphoma: pattern of involvement and concordance with flow cytometry, in 10 years from a single institution.

Authors:  M A Cabezas-Quintario; P Gomez; V Yuste-Del Pozo; A L Valencia-Mesa; G Sosa; P Ricard; A I Hijas-Gómez; F Pinedo; M Arguelles
Journal:  Clin Transl Oncol       Date:  2015-08-27       Impact factor: 3.405

2.  Lymphoma incidence patterns by WHO subtype in the United States, 1992-2001.

Authors:  Lindsay M Morton; Sophia S Wang; Susan S Devesa; Patricia Hartge; Dennis D Weisenburger; Martha S Linet
Journal:  Blood       Date:  2005-09-08       Impact factor: 22.113

3.  Bone marrow biopsy involvement by non-Hodgkin's lymphoma: frequency of lymphoma types, patterns, blood involvement, and discordance with other sites in 450 specimens.

Authors:  Daniel A Arber; Tracy I George
Journal:  Am J Surg Pathol       Date:  2005-12       Impact factor: 6.394

4.  Bone marrow biopsy in diffuse large B-cell lymphoma: useful or redundant test?

Authors:  Hugo J A Adams; John M H de Klerk; Rob Fijnheer; Ben G F Heggelman; Stefan V Dubois; Rutger A J Nievelstein; Thomas C Kwee
Journal:  Acta Oncol       Date:  2014-09-29       Impact factor: 4.089

5.  The role of bone marrow biopsy and FDG-PET/CT in identifying bone marrow infiltration in the initial diagnosis of high grade non-Hodgkin B-cell lymphoma and Hodgkin lymphoma. Accuracy in a multicenter series of 372 patients.

Authors:  Tzu-Hua Chen-Liang; Taida Martin-Santos; Andres Jerez; Leonor Senent; Maria Teresa Orero; Maria Jose Remigia; Begoña Muiña; Marta Romera; Hermogenes Fernandez-Muñoz; Jose M Raya; Marta Fernandez-Gonzalez; Aima Lancharro; Carolina Villegas; Juan Carlos Herrera; Laura Frutos; Jose Luis Navarro; Jon Uña; Carolina Igua; Raquel Sanchez-Vaño; Maria Del Puig Cozar; Jose Contreras; Jose Javier Sanchez-Blanco; Elena Perez-Ceballos; Francisco Jose Ortuño
Journal:  Am J Hematol       Date:  2015-05-28       Impact factor: 10.047

6.  Recommendations for initial evaluation, staging, and response assessment of Hodgkin and non-Hodgkin lymphoma: the Lugano classification.

Authors:  Bruce D Cheson; Richard I Fisher; Sally F Barrington; Franco Cavalli; Lawrence H Schwartz; Emanuele Zucca; T Andrew Lister
Journal:  J Clin Oncol       Date:  2014-09-20       Impact factor: 44.544

7.  Pleomorphic mantle cell lymphoma morphologically mimicking diffuse large B cell lymphoma: common cyclin D1 negativity and a simple immunohistochemical algorithm to avoid the diagnostic pitfall.

Authors:  Wen-Yu Chuang; Hung Chang; Gwo-Jyh Chang; Tzu-Hao Wang; Yu-Sun Chang; Tong-Hong Wang; Chi-Ju Yeh; Shir-Hwa Ueng; Hui-Ping Chien; Chiu-Yueh Chang; Yung-Liang Wan; Chuen Hsueh
Journal:  Histopathology       Date:  2017-03-10       Impact factor: 5.087

8.  Role of bone marrow biopsy in staging of patients with classical Hodgkin's lymphoma undergoing positron emission tomography/computed tomography.

Authors:  B Puccini; L Nassi; C Minoia; S Volpetti; R Ciancia; P C Riccomagno; A Di Rocco; A Mulè; C Toldo; M C Sassone; R Guariglia; C Filì; E Finolezzi; S Falorio; S Zanon; A Furlan; G Doa; F Zaja
Journal:  Ann Hematol       Date:  2017-04-28       Impact factor: 3.673

9.  Loss of utility of bone marrow biopsy as a staging evaluation for Hodgkin lymphoma in the positron emission tomography-computed tomography era: a West of Scotland study.

Authors:  Róisín Hamilton; Iain Andrews; Pamela McKay; Mike Leach
Journal:  Leuk Lymphoma       Date:  2013-08-05

10.  Involvement of bone marrow in lymphoma: pathological investigation in a single-center from northern China.

Authors:  Yun-Fei Shi; Xiang-Hong Li; Yu-Qin Song; Wei-Wei Song; Yu-Mei Lai
Journal:  Int J Clin Exp Pathol       Date:  2015-06-01
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  3 in total

1.  Prediction Model of Bone Marrow Infiltration in Patients with Malignant Lymphoma Based on Logistic Regression and XGBoost Algorithm.

Authors:  Yongfen Huang; Can Chen; Yuqing Miao
Journal:  Comput Math Methods Med       Date:  2022-06-28       Impact factor: 2.809

2.  Hemophagocytic lymphohistiocytosis as an onset of diffuse large B-cell lymphoma: A case report.

Authors:  Yueqing Cao; Lang Zou; Hao Zhou; Gan Fu; Xielan Zhao
Journal:  Oncol Lett       Date:  2022-07-05       Impact factor: 3.111

3.  The Profile of MicroRNA Expression in Bone Marrow in Non-Hodgkin's Lymphomas.

Authors:  Yuliya A Veryaskina; Sergei E Titov; Igor B Kovynev; Tatiana I Pospelova; Igor F Zhimulev
Journal:  Diagnostics (Basel)       Date:  2022-03-03
  3 in total

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