Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Case Report
Case Series
Current Issue
Editorial
Images/Videos in Hematology
Letter to the Editor
Meta-Analysis
Obituary
Original Article
Original Research
Residents’ Corner
Review Article
Systematic Review
Systematic Reviews
What the Expert Says
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Case Report
Case Series
Current Issue
Editorial
Images/Videos in Hematology
Letter to the Editor
Meta-Analysis
Obituary
Original Article
Original Research
Residents’ Corner
Review Article
Systematic Review
Systematic Reviews
What the Expert Says
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Case Report
Case Series
Current Issue
Editorial
Images/Videos in Hematology
Letter to the Editor
Meta-Analysis
Obituary
Original Article
Original Research
Residents’ Corner
Review Article
Systematic Review
Systematic Reviews
What the Expert Says
View/Download PDF

Translate this page into:

Original Article
ARTICLE IN PRESS
doi:
10.25259/JHAS_26_2024

Utility of bone marrow biopsy in myeloproliferative neoplasm with special reference to megakaryocyte morphology

Department of Pathology, Institute of Post Graduate Medical Education and Research and Seth Sukhlal Karnani Memorial Hospital Kolkata, Bhowanipore, Kolkata, West Bengal, India.

*Corresponding author: P. P. Mansoor, Department of Pathology, Institute of Post Graduate Medical Education and Research and Seth Sukhlal Karnani Memorial Hospital Kolkata, Bhowanipore, Kolkata, West Bengal, India. drmansoorpp@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Mansoor PP, Das R, Khetawat R, Sengupta M. Utility of bone marrow biopsy in myeloproliferative neoplasm with special reference to megakaryocyte morphology. J Hematol Allied Sci. doi: 10.25259/JHAS_26_2024

Abstract

Objectives:

Bone marrow histopathology is now being included in the diagnostic approach of myeloproliferative neoplasm (MPN) along with other clinical, molecular, and cytogenetic investigations. Thorough assessment of megakaryocyte morphology and its topography is the cornerstone of the segregation of MPN subtypes. Apart from its diagnostic role, bone marrow biopsy histology also plays a crucial role in prognosis. The aim of this study is to emphasize the significance of bone marrow biopsy in the diagnosis as well as prognosis of MPN with special focus on megakaryocyte morphology and topography.

Material and Methods:

Bone marrow biopsy slides and the needful information’s of the previously diagnosed MPN patients were retrieved from the well-maintained records of the department. Hematoxylin and eosin-stained sections were examined along with reticulin fiber assessment. Additional staining procedures were also done according to the need.

Results:

Breakpoint cluster region – abelson (BCR-ABL)-positive chronic myeloid leukemia (CML) was the most common MPN subtype. Male gender was commonly affected, with an overall mean age incidence of 46.85 ± 17.71 years. The mean hemoglobin level and packed cell volume were significantly high in cases of polycythemia vera (PV) as compared to other MPNs. Classic trilineage cell proliferation was observed in PV, whereas various combinations of different proliferative cell lines were seen in other MPN. Essential thrombocythemia showed giant forms; on the other hand, CML revealed the abundance of micro-megakaryocytes. Grade 3 reticulin fibers are seen in PMF.

Conclusion:

Megakaryocyte morphology and its distribution in the bone marrow are one of the major findings to look for the exact categorization of MPN subtypes.

Keywords

Bone marrow biopsy
Megakaryocyte morphology
Myeloproliferative neoplasm

INTRODUCTION

Myeloproliferative neoplasms (MPNs) are clonal hematopoietic stem cell disorder characterized by excessive production of one or more myeloid lineage cells.[1] MPN can be divided into two major groups, BCR-ABL 1-positive chronic myeloid leukemia (CML) and the Philadelphia (Ph-1) chromosome-negative MPN, which include polycythemia vera (PV), primary myelofibrosis (PMF), and essential thrombocythemia (ET).[2] Philadelphia chromosome negative myeloproliferative neoplasms share common clinical and molecular features- most notably the Janus Kinase 2 V617F(JAK2V617F) mutation, which is detected in approximately 95% of polycythaemia vera cases and about 50% of essential thrombocythemia and primary myelofibrosis cases.[3] They show significant differences in their prognosis, risk of leukemic transformation, and progression to myelofibrosis (MF).

Precise diagnosis of different MPN subtypes is essential to make use of novel targeted treatment strategies for MPN.[4] Bone marrow (BM) histology was included into the diagnostic approach of MPN along with other clinical, molecular, and cytogenetic studies since the 2008 World Health Organization (WHO) classification system of hematological malignancies.[5] Various parameters such as bone marrow cellularity, morphology, maturation, and topography of different cell lineage must be examined for reporting BM histology. Among them, morphological analysis of megakaryocytes has a major role in segregating the different MPN subtypes.[6] Ph-1-negative MPN such as ET, early stages of PV, and PMF can present with increased platelet count in the peripheral smear. It is essential to differentiate ET from other MPNs with thrombocytosis as the overall prognosis and frequency of complications show accountable difference between them.[7]

Bone marrow histology, apart from its role in diagnosing MPN subtypes, has a crucial role in prognosticating them by identifying their transformation into more severe conditions like blast crisis or MF. There is a paucity of literature highlighting the role of bone marrow histopathological examination in the diagnosis of MPN, especially in our population. We conducted this study regarding the role of bone marrow histology with special emphasis on megakaryocytic morphology in subclassification.

MATERIAL AND METHODS

This hospital-based retrospective study with prospective follow-up (ambispective cohort study) was performed in the department of Pathology with collaboration of the department of Medicine of a tertiary care center of the eastern region of India from May 2019 to May 2022. Institutional ethical committee approval was taken, and informed consents were obtained.

Inclusion criteria

Cases diagnosed following the WHO diagnostic criteria for different MPNs (CML, PV, ET, and PMF).

Exclusion criteria

(a) Inadequate biopsy, (b) incomplete data regarding clinical and hematological details, and (c) biopsy diagnosis is not consistent with MPN.

The sample size calculation, based on a population of 1,000,000 and an expected outcome frequency of 0.6% with a 5% margin of error, was performed using the www.openepi.com. Using a design effect (DEFF) of 1 and the standard formula for estimating a proportion in a finite population, the required sample size for a 99% confidence interval was determined to be 16.

The clinical details were retrieved from recorded data. The used clinical parameters were age and sex of the patients. Hematological parameters such as hemoglobin (Hb), packed cell volume (PCV), total leukocyte counts (TLC), and platelet counts were also evaluated. Starting materials of the study were selected by scrutinizing retrieved data and bone marrow biopsy slides of diagnosed cases of MPN. Both hematoxylin and eosin-stained and reticulin-stained sections were examined. Perl’s (iron) and Trichrome (collagen) staining were also done in some cases according to the need.

The parameters included in bone marrow biopsy reporting were bone marrow cellularity and prominent proliferative cell lines (erythroid, granulocytic, or megakaryocytic) or any combination of two or three (trilinear and bilinear).

Careful evaluation of megakaryocytes was also done in different subtypes of MPN. Both quantitative and qualitative assessment was carried out. A semiquantitative evaluation was performed and the number of megakaryocytes was reported per low-power field (LPF, ×100). One to two megakaryocytes per LPF was considered normal.[8] Topographic arrangement was also documented as diffuse and clustered variant.[9] Based on the morphology (size, number of nuclei, and their lobes), megakaryocytes were classified into six different types-normal, megakaryoblast, promegakaryocyte, micro megakaryocyte, giant megakaryocyte, and pyknotic/dysmorphic megakaryocytes.[9]

For the assessment of stromal changes, we examined the reticulin-stained section and divided it into three major groups according to Thiele’s classification.[10]

Follow-up bone marrow biopsies were available in four cases only with follow-up period ranging from 4 months to 14 months. Crucial evaluation regarding any cluster of blast and stromal reaction was carried out in these cases.

All data were analyzed using Microsoft Excel and IBM Statistical Package for the Social Sciences V29. For descriptive statistics, tables, pie chart, and bar diagram and for numerical value, mean and standard deviation were calculated. For categorical variables, frequencies and percentages were analyzed. Chi-square and Fisher’s exact test were used to evaluate the association between categorical variables. p < 0.05 was considered statistically significant.

RESULTS

Overall incidence

During the study period, a total of 21 cases of MPN were diagnosed in our department among 1652 cases of total bone marrow examination. Of the 21 patients, 8 (38.09%) were BCR-ABL-positive CML confirmed by molecular testing outside. The remaining 13 patients were BCR-ABL-negative CML, of which the most common was MF diagnosed in 7 (33.3%), followed by PV in 4 (19%) and ET in 2 (9.5%) patients. Among them, 2 cases of MF, 3 cases of PV, and 1 case of ET revealed JAK2v619f positivity.

Incidence by age and sex

The overall incidence of MPN was generally significantly higher among males than females with M:F ratio of 2.5:1. Most of the cases of MPN were diagnosed between 3rd and 7th decades of life with an overall mean age of 46.85 ± 17.71 years. The mean age of incidence was highest for PV (67.2 ± 4.2 years) and lowest in CML (36.3 ± 14.7) [Table 1].

Table 1: Characteristics of clinical and hematological data.
Parameter ET PV CML MF p-value
No. of patients 2 4 8 7
Mean age 36.7±2 67.2±4.2 36.3±14.7 46.8±7 0.02
Mean hemoglobin 15.8±4.95 17.8±5.43 8.93±0.92 6.13±1.99 0.0002
Mean PCV 23.95±18.31 63.43±0.68 27.16±2.70 21.58±8.99 <0.0001
Mean leukocyte count 13950±1343.5 14433±5200.3 163000±38148 6330.66±4220 <0.0001
Mean platelet count 6.65±1.20 3.36±1.29 4.3±0.84 0.79±0.62 <0.0001

ET: Essential thrombocythemia, PV: Polycythemia vera, CML: Chronic myeloid leukemia, MF: Myelofibrosis, PCV: Packed cell volume. p < 0.05 was considered statistically significant

Hematological parameters

Different hematological parameters such as Hb, PCV, TLC, and platelet counts were evaluated [Table 1]. The mean hemoglobin levels were found to be highest among PV patients (17.8 ± 5.43), whereas the lowest value was observed in cases of MF (6.13 ± 1.99). Similarly, PCV values were also found to be very high in PV patients (63.43 ± 0.68) compared to CML (27.16 ± 2.70), ET (23.95 ± 18.31), and MF (21.58 ± 8.99) in the order. In contrast, TLC was proportionately very high in cases of CML (163000 ± 38148) and MF patients had the lowest count (6330.6 ± 4200). Another parameter evaluated was the platelet count, which was highest in cases of ET (6.65 ± 1.20) and a notably less platelet count was seen in MF (0.79 ± 0.62).

Proliferative cell lines

PV was exclusively found to have classic trilinear type of proliferation. One case (50 %) of the ET patients had the bilinear (granulocytic + megakaryocytic) proliferation, whereas unilinear (megakaryocytic) proliferation was observed in the remaining one. In five cases (62.5%) of CML, unilinear granulocytic proliferation was the predominant cell lines. Bilinear (granulocytic + megakaryocytic) proliferation was also noted in three cases of CML (37.5%). Unilinear (megakaryocytic) proliferation was the predominant (85.7%) cell line observed in MF [Table 2].

Table 2: Proliferative cell lines in MPN.
Proliferative cell lines ET PV CML MF Total number p-value
Erythrocytes Granulocytes Megakaryocytes
+ + + 0 4 0 0 4 0.806
+ + 1 0 3 1 5
+ 0 0 0 0 0
+ 1 0 0 6 7
+ 0 0 5 0 5
Total number 2 4 8 7 21

ET: Essential thrombocythemia, PV: Polycythemia vera, CML: Chronic myeloid leukemia, MF: Myelofibrosis, MPN: Myeloproliferative neoplasms. p< 0.05 was considered statistically significant

Morphology and number of megakaryocytes

Giant forms of megakaryocytes were identified in cases of both ET and PV. Megakaryocytes with hypersegmented staghorn nuclei, resembling “deer antler,” were only observed in ET. CML was characterized by the predominance of micromegakaryocytes. The pyknotic/dysmorphic forms of megakaryocytes were commonly found in cases of PMF with marked increase in reticulin fibers. Megakaryocyte clustering was another important finding, which was exclusively seen in cases of ET along with some cases of PV (25%) and CML (12.5%) showing reticulin fibers around them. Apart from this, ET was also found to have the highest number of megakaryocyte per low power field (60 ± 2.8/LPF), whereas MF had the lowest count (11.7 ± 4.6/LPF) [Table 3; Figures 1-4].

Table 3: Morphology of megakaryocytes.
Parameter ET PV CML MF p-value
Mean megakaryocyte count/LPF 60±2.8 43±4.1 18.3±4.1 11.7±4.6 <0.0001
Types of megakaryocytes
Megakaryoblast 0 0 0 1 0.0095
Promegakaryocyte 0 0 1 0
Micro 0 0 6 3
Giant 2 2 0 0
Pyknotic/dysmorphic 0 0 0 3
Normal 0 2 1 0
Distribution
Diffuse 0 3 7 8 0.0113
Clustering 2 1 1 0

ET: Essential thrombocythemia, PV: Polycythemia vera, CML: Chronic myeloid leukemia, MF: Myelofibrosis, LFP: Low power field. p < 0.05 was considered statistically significant

Bone marrow biopsy in a case of myelofibrosis (a) “Streaming effect” of fibrotic bands compressing the bone marrow cellularity (Hematoxylin and Eosin [H&E], ×40). (b) Reticulin staining showing increased reticular fibers (Reticulin stain, ×100). (c) Mature collagen fibers (Masson’s trichrome stain, ×100). (d) Characteristic pyknotic form of megakaryocyte (yellow arrow) (H&E, ×400).
Figure 1: Bone marrow biopsy in a case of myelofibrosis (a) “Streaming effect” of fibrotic bands compressing the bone marrow cellularity (Hematoxylin and Eosin [H&E], ×40). (b) Reticulin staining showing increased reticular fibers (Reticulin stain, ×100). (c) Mature collagen fibers (Masson’s trichrome stain, ×100). (d) Characteristic pyknotic form of megakaryocyte (yellow arrow) (H&E, ×400).
Bone marrow biopsy in case of CML. (a) Intertrabecular spaces packed with 100% cellularity (Hematoxylin and Eosin [H&E], ×40). (b) A cluster of immature cells surrounded by large number of granulocytes and few megakaryocytes (dwarf forms, yellow arrow head) (H&E, ×400). (c) Metamorphosis to myelofibrosis is characterized by fibrotic bands (yellow arrow) (H&E, ×100). (d) Immature cells comprising more than two-thirds of an IT space, suggesting metamorphosis to blast crisis (yellow two-headed arrow) (H&E, ×100).
Figure 2: Bone marrow biopsy in case of CML. (a) Intertrabecular spaces packed with 100% cellularity (Hematoxylin and Eosin [H&E], ×40). (b) A cluster of immature cells surrounded by large number of granulocytes and few megakaryocytes (dwarf forms, yellow arrow head) (H&E, ×400). (c) Metamorphosis to myelofibrosis is characterized by fibrotic bands (yellow arrow) (H&E, ×100). (d) Immature cells comprising more than two-thirds of an IT space, suggesting metamorphosis to blast crisis (yellow two-headed arrow) (H&E, ×100).
Bone marrow biopsy in a case of polycythemia vera. (a) Increased bone marrow cellularity (Hematoxylin and Eosin [H&E], ×40). (b) Mixture of pleomorphic megakaryocytes with different cell sizes (small, medium, and large) (H&E, ×100). (c) Characteristic megakaryocyte showing nuclear hyperlobation (yellow arrow head) (H&E, ×400). (d) Bone marrow showing fibrotic bands suggesting metamorphosis to myelofibrosis (H&E, ×100).
Figure 3: Bone marrow biopsy in a case of polycythemia vera. (a) Increased bone marrow cellularity (Hematoxylin and Eosin [H&E], ×40). (b) Mixture of pleomorphic megakaryocytes with different cell sizes (small, medium, and large) (H&E, ×100). (c) Characteristic megakaryocyte showing nuclear hyperlobation (yellow arrow head) (H&E, ×400). (d) Bone marrow showing fibrotic bands suggesting metamorphosis to myelofibrosis (H&E, ×100).
Bone marrow biopsy in a case of essential thrombocythemia. (a) Increased bone marrow cellularity, predominantly affecting megakaryocyte lineage (Hematoxylin and Eosin [H&E], ×100). (b) Megakaryocytes accumulated in “paratrabecular” space (H&E, ×400). (c) Characteristic megakaryocytes exhibit multilobulated nuclei resembling “deer antlers (H&E, ×400). (d) Large population of immature cells, suggesting metamorphosis to blast phase (H&E, ×400).
Figure 4: Bone marrow biopsy in a case of essential thrombocythemia. (a) Increased bone marrow cellularity, predominantly affecting megakaryocyte lineage (Hematoxylin and Eosin [H&E], ×100). (b) Megakaryocytes accumulated in “paratrabecular” space (H&E, ×400). (c) Characteristic megakaryocytes exhibit multilobulated nuclei resembling “deer antlers (H&E, ×400). (d) Large population of immature cells, suggesting metamorphosis to blast phase (H&E, ×400).

Stromal changes

Grade 1 reticulin fibers (MF 1) were seen in cases of PV (100%) and CML (62.5%). More severe fibrosis (grade 3 reticulin fibers) was observed in cases of late stages of PMF. Other reactive stromal changes such as lymphoid follicle formation, perivascular plasma cells accumulation, and presence of cellular debris were less appreciable, thus rule out other non-neoplastic causes [Table 4].

Table 4: Stromal changes.
Parameter ET PV CML MF p-value
Increased reticulin fibers
MF1 1 4 5 0 0.0068
MF2 1 0 1 1
MF3 0 0 1 7
Iron-laden macrophage 0 0 0 0 Not significant
Lymphoid follicle 0 0 1 2
Perivascular plasma cells 0 0 0 0
Cellular debris 0 0 0 0

ET: Essential thrombocythemia, PV: Polycythemia vera, CML: Chronic myeloid leukemia, MF: Myelofibrosis. P < 0.05 was considered statistically significant

Metamorphosis

Four cases were followed up properly – 2 CML, 1 PV, and 1 ET. Among which, one CML case and a case of ET were showed a transformation to blast crisis at an interval of 4 months and 6 months. The other CML case and the patient of PV exhibited a metamorphosis to MF stage after 12-month and 14-month follow-up.

Comparative analysis of the current study with various available literature from different parts of the world was done [Table 5].

Table 5: Comparative analysis with various literature.
Parameters Srour et al., 2016[13] A Georgii et al., 1996[25] Ghai et al., 2018[14] Hultcrantz et al., 2020[26] Htun et al., 2022[15] Current study
Country USA Germany South India Sweden Singapore East India
Number of cases 31,904 2901 44 6,281 2,557 21
Type of study SEER program Retrospective Retrospective Retrospective Population -based study Retrospective
Duration 2001–12 Not mentioned Over a period of 12 years 2000–2014 1968–2017 2019–2022
Mean age Age range: 51-73 60.1 years Age Range: 40-60 years Not mentioned 46.85±17.71
Male:Female 1.28:1 1.1:1 Not mentioned Not mentioned M>F 2.5:1
Most common MPN PV CML CML PV CML CML
Most common proliferative cell lines Not mentioned Megakaryocytic Not mentioned Not mentioned Not mentioned Megakaryocyte
Opinion regarding megakaryocyte morphology Not mentioned Variable morphology noted according to subtype Mentioned according to different subtype Not mentioned Not mentioned Variable morphology depending on variants
Number of cases with metamorphosis to MF/AML Not mentioned 213 Not mentioned Not mentioned Not mentioned 4 (2 cases of CML, 1 PV and 1 case of ET)

CML: Chronic myeloid leukemia, AML: Acute myeloid leukemia, PV: Polycythemia vera, ET: Essential thrombocythemia, MF: Myelofibrosis

DISCUSSION

Dramatic advancement in our understanding of the molecular basis of MPN led to the development of novel targeted treatment modalities such as JAK2 inhibitors.[11] The 2008 WHO classification system for hematological malignancies included bone marrow histology in the diagnostic approach of MPN. Even though the role of bone marrow biopsy is limited in the diagnosis of MPN, it also plays a crucial role in the prognosis of the disease. In developing countries and in low-resource settings, bone marrow histology still has an immense role in both diagnosing and subclassification of MPN.

Classic MPN is an uncommon disorder.[12] According to data available from a population-based study conducted in the United States, incidence rates (IR) were highest for PV (IR = 10.9) followed by ET (IR = 9.6) for the 2001–2012 duration,[13] but there is a paucity of literatures regarding the incidence of MPN subtypes and its metamorphosis in our population. Single literature published on North Indian population 120 cases of MPN over 12 years’ time span CML was the most common variant (81.7%), followed by PV (5%), ET (4.2%), and then PMF (0.8%).[14] Similarly, in our study, CML was the most common MPN diagnosed during the study period (38.09%). But on the contrary, one large Asian population-based study showed an upward trend in nonCML-MPN, whereas CML revealed marginal elevation.[15]

Derivation of megakaryocytes from hematopoietic stem cell is a stepwise process controlled by various transcription factors such as RUNX1, GATA1, and GF11B. Thrombopoietin also plays a crucial role in this process. Following the acquisition of an MPN driver mutation, these megakaryocytes exhibit abnormal maturation, reduced expression of GATA1 and increased release of various cytokines and chemokines (transforming growth factor-β, interleukin 8, interleukin 6, CXCL4, etc.) which contribute to the development of fibrosis, bone formation, and myeloproliferation.[16] Crucial evaluation of different histopathological parameters is useful for segregation of MPN from other non-neoplastic disorders as well as distinguishing of CML from non-CML MPN. Qualitative and quantitative changes in bone marrow megakaryocytes are the most important parameters among them. Reactive thrombocytosis can develop as a physiological response to conditions such as acute or chronic inflammatory and infectious disorders, acute blood loss, hemolytic anemia, and iron deficiency. Understanding the morphological features of normal megakaryocyte at different stages of its maturation is crucial to avoid misdiagnosing such conditions. Immature megakaryocytes show horse shoe-shaped nucleus having significant chromatin condensation, scanty basophilic cytoplasm with few granulations. On the other hand, mature megakaryocytes have pleomorphic nucleus, coarsely granular chromatin pattern, abundant pale to pink cytoplasm with fine clusters of granules.[8] Bone marrow findings tend to change over the time in MPN, in some cases may get transformed to MF or acute leukemia.[17]

PV usually has an indolent clinical course with signs and symptoms related to excessive hematopoiesis, coagulopathy, and mild hepatosplenomegaly with a possible metamorphosis to osteosclerosis or other MPN, myelodysplastic syndrome (MDS), and/or acute leukemia.[18] Bone marrow is hypercellular with classic trilineage proliferation, with predominance of pleomorphic megakaryocytes (small, medium, and large).[19] During the study period, we had four cases of PV, which were showing trilineage proliferation with giant forms of megakaryocytes. In PV, megakaryocytes are distributed dispersedly or in dense clusters at intertrabecular/para-trabecular spaces. Increase in reticular fibers can also be seen in some cases.

ET is considered a diagnosis of exclusion, which mainly affects megakaryocytic lineage with prominent thrombocytosis in the peripheral blood. Platelet count >4.5 lac/Cumm with atypical bone marrow histology and exclusion of all other WHO-defined diseases such as CML, PV, PMF, and MDS are necessary for diagnosis of the disease.[20] JAK2, calreticulin, or tetmethylcytosine dioxygenase 2 genes identification is necessary to differentiate ET from other reactive causes of thrombocytosis.[21] Bone marrow biopsy is typically hypercellular with predominance of megakaryocytic lineage. Megakaryocytes in ET are large or gigantic with abnormal chromatin clumping and abundant basophilic cytoplasm, mostly distributed singly or in loose clusters.[22] Emperipolesis can also be appreciated in some cases.[23] One of the characteristic features that megakaryocytes exhibit in ET is hypersegmented staghorn nuclei that resemble “deer antlers” as seen in one of our cases. Grade 0 or 1 fibrosis can be seen in ET; diagnosis of ET should be kept out if marked fibrosis is noted in bone marrow.

PMF is characterized by a gradual evolution of prefibrotic hypercellular initial face to an overt fibrotic phase often accompanied by osteosclerosis. Clinically, it is indistinguishable from PV or ET transformation to MF. About 30–50% of cases are diagnosed in pre-fibrotic phase.[24]This phase is characterized by bone marrow hypercellularity with granulocytic or megakaryocytic proliferation. Minimal reticulin fibrosis (grade 0 or grade 1) is seen in this stage. Megakaryocytic morphology and topography are the key to diagnose pre-fibrotic phase of PMF. Characteristically, megakaryocytes show increased nuclear: cytoplasmic ratio, abnormal chromatin density, and a “cloud-”like nuclei. Megakaryocytes are more atypical in pre-PMF stage compared to other MPN, showing accentuated dysplasia. PrePMF stage also shows increased angiogenesis and sinusoidal dilatation, demonstrated by CD34 staining. More than 50% cases of PMF are diagnosed in the overt fibrosis stage[25]. Bone marrow in this stage is usually normocellular or hypocellular in nature. Fibrosis compresses the bone marrow cellularity and produces a “streaming effect.” One of the characteristic features of overt fibrotic stage of PMF is grade 2 or 3 level reticulin fibers (type III collagen) or collagen fibers (type 1). Megakaryocytes show dense aggregate formation with dysplastic features.

Bone marrow histopathology has a limited role in the diagnosis of CML. Even though the BCR-ABL-positive CML is the most common subtype of MPN, very less proportion of patients undergo bone marrow biopsy examination. In CML, bone marrow shows marked increase in cellularity with a myeloid: erythroid ratio higher than 10:1. Megakaryocytes are usually small in size (dwarf forms) with intermediate nuclear: cytoplasmic ratio, normal chromatin pattern. Hypolobulated megakaryocyte is a characteristic feature of CML. Macrophages resembling Gaucher cells (pseudo-Gaucher cells) can be seen in almost 70% of the CML cases.

Histopathological examination of bone marrow should go hand in hand with cytogenetic and molecular studies for diagnosing and prognosticating a case of MPN. Over the years, the significance of cytogenetic in MPN has both revolutionized the discipline and, at the same time, proven the inherent value of classical BM histopathological examination. Bone marrow is typically hypercellular in all subtypes of MPN representing clonal excess hematopoeisis.[26]Megakaryocyte morphology and its distribution in the bone marrow are one of the major findings to look for the exact categorization of MPN subtypes. Apart from this, assessment of reticulin fibers also plays a crucial role in prognosticating patients.

There is a lack of cytogenetic studies in our institution. Study conducted in a larger population, for a longer duration of period, is necessary for further confirmation of the results.

CONCLUSION

Bone marrow biopsy remains an indispensable tool in the diagnosis and prognostication of myeloproliferative neoplasms. Detailed assessment of megakaryocyte morphology, number, and topographic distribution provides critical histomorphological clues for accurate subclassification of MPNs, particularly in Philadelphia chromosome negative entities.

Ethical approval:

Institutional Review Board approval is not required as it is a retrospective study.

Declaration of patient consent:

The authors certify that they have obtained all appropriate patient consent forms. In the form, the patients have given their consent for their images and other clinical information to be reported in the journal. The patients understand that their names and initials will not be published and due efforts will be made to conceal their identity, but anonymity cannot be guaranteed.

Conflicts of interest:

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation:

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Financial support and sponsorship: Nil.

References

  1. , , , , , , et al. World Health Organization-defined classification of myeloproliferative neoplasms: Morphological reproducibility and clinical correlations--the Danish experience. Am J Hematol. 2013;88:1012-6.
    [CrossRef] [PubMed] [Google Scholar]
  2. , . Genetic landscape of myeloproliferative neoplasms with an emphasis on molecular diagnostic laboratory testing. Life (Basel). 2021;11:1158.
    [CrossRef] [PubMed] [Google Scholar]
  3. , , , , , , et al. Characterization and prognosis significance of JAK2 (V617F), MPL, and CALR mutations in Philadelphia-negative myeloproliferative neoplasms. Asian Pac J Cancer Prev. 2016;17:4647-53.
    [Google Scholar]
  4. , , . Editorial: Novel treatment strategies for myeloproliferative neoplasms. Front Oncol. 2021;11:762928.
    [CrossRef] [PubMed] [Google Scholar]
  5. . Bone marrow pathology of myeloproliferative neoplasms. Rinsho Ketsueki. 2015;56:956-62.
    [Google Scholar]
  6. , , , , , , et al. Megakaryocytes in myeloproliferative neoplasms have unique somatic mutations. Am J Pathol. 2017;187:1512-22.
    [CrossRef] [PubMed] [Google Scholar]
  7. . Myeloproliferative and thrombotic burden and treatment outcome of thrombocythemia and polycythemia patients. World J Crit Care Med. 2015;4:230-9.
    [CrossRef] [PubMed] [Google Scholar]
  8. , . Cytomorphology of normal, reactive, dysmorphic, and dysplastic megakaryocytes in bone marrow aspirates. Int J Lab Hematol. 2021;43(Suppl 1):23-8.
    [CrossRef] [PubMed] [Google Scholar]
  9. , , . Potential of bone marrow biopsy in chronic myeloproliferative disorders (MPD) Eur J Haematol. 1993;50:41-52.
    [CrossRef] [PubMed] [Google Scholar]
  10. , , , , , . European consensus on grading bone marrow fibrosis and assessment of cellularity. Haematologica. 2005;90:1128-32.
    [Google Scholar]
  11. , . JAK2 inhibitors for myeloproliferative neoplasms: What is next? Blood. 2017;130:115-25.
    [CrossRef] [PubMed] [Google Scholar]
  12. , . Aetiology of myeloproliferative neoplasms. Cancers (Basel). 2020;12:1810.
    [CrossRef] [PubMed] [Google Scholar]
  13. , , , , , , et al. Incidence and patient survival of myeloproliferative neoplasms and myelodysplastic/myeloproliferative neoplasms in the United States, 2001-12. Br J Haematol. 2016;174:382-96.
    [CrossRef] [PubMed] [Google Scholar]
  14. , , , . Bone marrow morphology in Myeloproliferative Neoplasm-Relevance in Molecular Era. Ann of Pathol and Lab MED. 2018;5:A788-93.
    [CrossRef] [Google Scholar]
  15. , , , , , , et al. Classic myeloproliferative neoplasms in Singapore: A population-based study on incidence, trends, and survival from 1968 to 2017. Cancer Epidemiol. 2022;79:102175.
    [CrossRef] [PubMed] [Google Scholar]
  16. , , . The role of megakaryocytes in myelofibrosis. Hematol Oncol Clin North Am. 2021;35:191-203.
    [CrossRef] [PubMed] [Google Scholar]
  17. , , . Leukemia secondary to myeloproliferative neoplasms. Blood. 2020;136:61-70.
    [CrossRef] [PubMed] [Google Scholar]
  18. , , , . Rethinking the diagnostic criteria of polycythemia vera. Leukemia. 2014;28:1191-5.
    [CrossRef] [PubMed] [Google Scholar]
  19. , , . Bone marrow histopathology in myeloproliferative disorders--current diagnostic approach. Semin Hematol. 2005;42:184-95.
    [CrossRef] [PubMed] [Google Scholar]
  20. , . Synoptic diagnostics of myeloproliferative neoplasms: Morphology and molecular genetics. Cancers (Basel). 2021;13:3528.
    [CrossRef] [PubMed] [Google Scholar]
  21. , , , , , . CALR, JAK2, and MPL mutation profiles in patients with four different subtypes of myeloproliferative neoplasms: Primary myelofibrosis, essential thrombocythemia, polycythemia vera, and myeloproliferative neoplasm, unclassifiable. Am J Clin Pathol 201;. ;143:635-44.
    [CrossRef] [PubMed] [Google Scholar]
  22. . Histopathology in the diagnosis and classification of acute myeloid leukemia, myelodysplastic syndromes, and myelodysplastic/myeloproliferative diseases. Pathobiology. 2007;74:97-114.
    [CrossRef] [PubMed] [Google Scholar]
  23. , . The frequency and significance of megakaryocytic emperipolesis in myeloproliferative and reactive states. Ann Hematol. 1992;64:273-6.
    [CrossRef] [PubMed] [Google Scholar]
  24. . Essential thrombocythemia vs. Early/prefibrotic myelofibrosis: Why does it matter. Best Pract Res Clin Haematol. 2014;27:129-40.
    [CrossRef] [PubMed] [Google Scholar]
  25. , , , , . Classification and staging of ph-negative myeloproliferative disorders by histopathology from bone marrow biopsies. Leuk Lymphoma. 1996;22:15-29.
    [CrossRef] [PubMed] [Google Scholar]
  26. , , , , , , et al. Incidence of myeloproliferative neoplasms-trends by subgroup and age in a population-based study in Sweden. J Intern Med. 2020;287:448-54.
    [CrossRef] [PubMed] [Google Scholar]
Show Sections