Printer Friendly

Mixed-Phenotype Acute Leukemia: Diagnostic Criteria and Pitfalls.


The first step in classification of acute leukemia is to assign lineage by resemblance to normal progenitor cells. This approach provides descriptive information about the blast cells that is useful for disease monitoring, provides clues to molecular pathways involved in pathogenesis, and can help to select effective chemotherapeutic regimens. The 3 main lineages of acute leukemia are myeloid (AML), Blymphoblastic (B-ALL), and T-lymphoblastic (T-ALL). However, it is common for acute leukemias to aberrantly express protein markers more typically associated with other lineages, for example, expression of the myeloid markers CD13 and CD33 in B-ALL or T-ALL and expression of the T/NK-cell markers CD7 and CD56 in AML. The aberrant and complex patterns of marker expression in acute leukemia created a need for consensus criteria for lineage assignment. (1) Furthermore, leukemias with multilineage protein expression often respond poorly to chemotherapy, suggesting that some types of multilineage expression may define a high-risk subgroup. (2) Proposed reasons that mixed phenotype may portend a worse prognosis include the following: (1) mixed phenotype may indicate that the leukemic stem cells are primitive multipotent progenitors that are chemoresistent owing to slow replication, (2) mixed-phenotype blasts can adapt to therapy by switching phenotype, and (3) some mixed-phenotype acute leukemias (MPALs) express high levels of multidrug resistance proteins. (2)

Archetypal cases of MPAL, especially those with KMT2A (MLL) translocations, show a dramatic ability to switch lineage between myeloid and lymphoid blast proliferation, (3,4) and this lineage plasticity is thought to be a key feature underlying the unusual phenotypes and aggressive behavior of MPAL. Lineage plasticity of leukemic stem cells can be demonstrated in cell culture, but currently there is no method for directly testing lineage plasticity in clinical practice. Instead, the primary clinical tool for predicting the multilineage potential of leukemic blasts is characterization of protein expression by immunophenotyping. This approach requires the elucidation of immunophenotypes that discriminate MPAL from unilineage acute leukemias.


Flow cytometry (FCM) is the primary method for blast immunophenotyping in clinical practice, and immunohistochemistry (IHC) and enzyme cytochemistry (EC) also contribute in some cases. The first consensus method for identifying MPAL was the algorithm proposed by the European Group for Immunological Characterization of Acute Leukemias (EGIL) in 1995. (5) The EGIL strategy uses FCM to characterize blasts with a broad panel of markers associated with B-cell, T-cell, and myeloid lineages, and assigns a weighted score to each marker depending on how strongly it is associated with a specific lineage (Table 1). Using this algorithm, biphenotypic (or triphenotypic) leukemia is diagnosed when a score greater than 2 is calculated for more than 1 lineage. The EGIL authors defined positivity by FCM as a positive signal on at least 20% of blasts for surface markers and at least 10% for cytoplasmic markers compared to an isotype control.

New consensus criteria for MPAL were published in the 4th edition of the World Health Organization Classification of Tumours of Haematopoietic and Lymphoid Tissues (6) (Table 2) and remain essentially unchanged in the 2016 update to the classification. (7) In contrast to the EGIL approach of scoring a detailed blast immunophenotype with numerous markers, the World Health Organization (WHO) criteria emphasize a few key lineage-defining markers with particular emphasis on CD19 for B lineage, CD3 for T lineage, and myeloperoxidase (MPO) for myeloid lineage. The WHO approach is simpler but relies heavily on the sensitivity and specificity of a few markers. Also, the WHO classification does not specify thresholds for positivity of these key markers, leaving it up to individual laboratories to decide on the definition of significant expression. In practice, the most frequent challenge in applying the WHO criteria for MPAL is interpretation of MPO expression in cases that are otherwise consistent with B-ALL or T-ALL.


The WHO classification stipulates that detection of MPO by FCM, IHC, or EC is sufficient for the diagnosis of MPAL when the blasts also meet criteria for B- or T-cell lineage. However, the sensitivity of these methods for detecting MPO differs greatly. The presence of MPO mRNA in otherwise typical ALL blasts is well documented, (8-10) and a strong correlation between MPO mRNA and positivity for MPO by IHC was demonstrated in a series of 57 infant ALL cases. (9) In another series of 57 patients with ALL, representing a broad age range (18 months-72 years), MPO mRNA was detected in 43.8% of patients, including 83% of ALL with BCR-ABL1 fusion (Ph+) and 33% of Ph-ALL. (10) In both of these studies, all cases were negative for MPO by EC. Myeloperoxidase can also be detected by FCM in ALL, especially in Ph+ cases, even when EC is negative. (11) The most sensitive method for detection of MPO is reverse transcription-polymerase chain reaction, followed closely by IHC with modern signal amplification techniques. Flow cytometry is slightly less sensitive than amplified IHC, and EC is the least sensitive. In studies of AML blasts, it has been shown that cases with much stronger positivity by FCM than by EC produce relatively more of the MPO proenzyme than active enzyme. (12) Decreased production of mature MPO might also be a factor in the low sensitivity of EC for MPO+ ALL, and the lower total quantity of MPO mRNA and protein in ALL compared to AML also contributes. For these reasons, the number of acute leukemias diagnosed as MPAL can vary significantly depending on whether FCM, IHC, or EC is used to detect MPO.

To address this problem, efforts have been made to standardize thresholds for MPO positivity. Detection of MPO by EC in 3% or more of blasts excludes most unilineage ALL cases and has been used as a threshold to define myeloid lineage since the inception of the French-American-British (FAB) classification of acute leukemia in the 1970s. (13) A recent study (14) used receiver-operator curve (ROC) analysis to define an FCM threshold for MPO positivity with optimal correlation with the 3% threshold by EC. This analysis identified 13% MPO+ blasts (by FCM) as the best threshold when using isotype control to define the negative control population. This result is fairly close to the 10% threshold for MPO by FCM used by the EGIL algorithm. Other investigators (15) have also shown a good correlation between a 10% threshold by FCM (using isotype control) and a 3% threshold by EC.

Importantly, Guy et al (14) repeated the ROC calculation by using normal lymphocytes as an internal negative control instead of using an isotype control, and found a significantly higher threshold of 28%. The main reason for the difference is that most blasts have greater autofluorescence than mature lymphocytes, and therefore a negative blast population will have a higher median fluorescence intensity than a negative lymphocyte population. Because of this difference, it is important to know what negative control was used when interpreting partial positivity for MPO by FCM.

Owing to uncertainty about the significance of weak or partial MPO expression by FCM when the question of ALL versus MPAL arises, the current practice at our institution is to perform MPO EC in cases where the FCM signal for MPO is very weakly positive or only present on a minor subset of the blasts. If MPO EC stains fewer than 3% of the blasts, then we do not consider the findings definitive for MPAL. This practice may change as more data become available, but at present we are more concerned about overdiagnosing MPAL by FCM.

Of note, the WHO classification intentionally omits thresholds for significant expression of MPO or other markers by FCM. (16) The thresholds proposed by the EGIL authors, and even the 3% MPO threshold from the FAB classification, were not defined from experimental biology but rather from expert opinion of a safe threshold to exclude nonspecific staining based on the techniques used at the time. Current multiparameter FCM techniques allow for more precise identification of blast populations, which enables more specific detection of dim or subset marker positivity. Because the sensitivity and specificity of detection methods may vary among flow cytometry laboratories, it is important that individual laboratories develop experience interpreting true positive expression based on their selected reagents and control populations. Keeping this interlaboratory variation in mind, the preceding discussion of MPO thresholds is intended to provide a starting rule-of-thumb based on published data and personal experience.


The discussion up to this point has focused on diagnostic criteria for the subtype of MPAL known as biphenotypic acute leukemia. Biphenotypic blasts comprise a single population that coexpresses key markers of more than 1 lineage (Figure 1, A through F). The other major subtype of MPAL is bilineal acute leukemia. A bilineal blast population comprises 2 groups of blasts that each fulfills diagnostic criteria for different lineages of acute leukemia (Figure 2, A through F). The WHO criteria for bilineal MPAL require that the sum of the 2 blast populations is at least 20% of nucleated cells. (6) In some cases, one of the blast populations is much smaller than the other, but no minimum count is mandated for the minor population as long as the sum is 20% or greater.

In practice, the accurate identification of minor blast populations of divergent lineage is the biggest challenge for diagnosing bilineal acute leukemia. Identification of immunophenotypic aberrancies can be essential to differentiate a small bilineal blast population from residual normal myeloid blasts or hematogones (physiological B-cell precursors). For example, in the case illustrated in Figure 2, the myeloid blasts were aberrantly positive for CD56 (not shown). It is especially important to consider the possibility of a monocytic blast population coexisting with ALL, which most often occurs in the context of KMT2A translocations, because monocytic blasts often resemble normal monocytes in FCM analysis. Furthermore, it is essential that a sufficient number of events is analyzed by FCM ([greater than or equal to] 1000 blasts and [greater than or equal to] 20 000 total events per tube), so that a minor secondary blast population is not overlooked.

In the current WHO classification, biphenotypic acute leukemia and bilineal acute leukemia are both classified as MPAL, because the clinical presentation and genetic characteristics of the 2 subtypes are similar. (2,6) However, the pathology report should note whether the blasts are biphenotypic or bilineal, because this information is helpful when testing for residual or recurrent disease. Furthermore, bilineal acute leukemias portend a somewhat poorer prognosis than biphenotypic MPAL (17,18) and have a higher risk of induction failure due to lineage switch. (3,4,17)


The WHO classification recognizes 2 genetically defined subclassifications of MPAL and also excludes some acute leukemias from the MPAL classification on the basis of genetics. (6) The 2 genetically defined categories are MPAL with BCR-ABL1 fusion and MPAL with KMT2A translocation. KMT2A translocation is the genetic abnormality most frequently associated with lineage switch after chemotherapy. (3,4,19) Rare cases of lineage switch in acute leukemia with BCR-ABL1 have also been reported. (20) Interestingly, some of the reported cases of lineage switch associated with BCRABL1 or KMT2A did not show evidence of biphenotypic or bilineal blasts at the time of diagnosis, indicating that these genetic lesions confer the potential for lineage plasticity regardless of the initial blast phenotype.

KMT2A translocations are more common in pediatric MPAL (especially infants), and BCR-ABL1 is more common in adults. (21) The blast immunophenotypes are very similar to cases of B-ALL with these gene rearrangements, except that a distinct myeloid or monocytic clone is also present in bilineal cases and significant coexpression of MPO is present in biphenotypic cases. Considering that MPO mRNA is present in most B-ALLs with BCR-ABL1 or KMT2A, (9,10) the difference between B-ALL with BCR-ABL1 or KMT2A and biphenotypic MPAL with BCR-ABL1 or KMT2A is probably more a matter of degree than a fundamental biological difference.

The WHO classification of MPAL specifically excludes leukemias with t(8;21), t(15;17), inv(16), FGFR1 mutations/translocations, blast phase of chronic myelogenous leukemia, AML with myelodysplasia-related changes (AML-MRC), and therapy-related AML. (6) It is recommended to make a secondary notation of mixed phenotype in these cases, for example, AML-MRC with blasts of mixed B/myeloid lineage. The excluded categories that represent significant diagnostic pitfalls are AML with t(8;21)(q22;q22);RUNX1-RUNX1T1 and AML-MRC. Acute myeloid leukemia with t(8;21) often expresses the B-cell markers CD19, CD79a, and PAX5, which is associated with transcriptional upregulation of the PAX5 gene. (22) Although some cases of AML with t(8;21) meet immunophenotypic criteria for biphenotypic MPAL, coexpression of CD19 seems to correlate with good prognosis in AML with t(8;21) and response to AML-directed chemotherapy is generally very good. (23) To avoid misdiagnosis of AML with t(8;21) as MPAL, it is important to consider whether the leukemia has morphologic features of AML with t(8;21), for example, prominent granulocytic maturation in the bone marrow (FAB M2), when the immunophenotype shows a mixture of myeloid and B-lineage markers. Furthermore, AML with t(8;21) often shows expression of CD56 on the blasts, which is uncommon in biphenotypic B/myeloid MPAL. In difficult cases, rapid cytogenetic evaluation may be required, because B/myeloid MPAL is usually treated with ALL-directed induction regimens and AML with t(8;21) is treated with AML-directed induction.

Overlapping features between MPAL and genetically defined AML-MRC creates a diagnostic challenge. The 2 largest case series of MPAL identified complex karyotype as the most common genetic abnormality (24,25); however, the WHO classification specifies that AML with complex karyotype should be classified as AML-MRC. A case series of MPAL from Stanford University (Palo Alto, California) excluded acute leukemias with complex karyotype for this reason. (26) The use of complex karyotype and other myelodysplasia-related cytogenetic abnormalities to distinguish between MPAL and AML-MRC is problematic because these abnormalities also occur in unilineage ALL, and therefore cannot be taken as definitive evidence of myeloid lineage. In fact, a study of pediatric MPAL (an age group in which AML-MRC is rare) included several cases with complex karyotype, and most responded well to ALL-directed chemotherapy. (27) In our opinion, karyotype should not be the sole deciding factor to distinguish MPAL from AML-MRC. If the leukemic blasts meet criteria for MPAL and the karyotype includes myelodysplasia-related abnormalities, the patient's clinical history (eg, age and antecedent signs and symptoms), the extent of hematopoietic dysplasia, the blast morphology and immunophenotype, and the presence of somatic mutations associated with lymphoid or myeloid neoplasia should be considered to decide whether the findings are more consistent with MPAL or AML-MRC.

Characterization of the somatic mutational landscape of MPAL is limited. Eckstein et al (28) performed whole exome sequencing on 23 cases of MPAL and found frequent NOTCH mutations in cases with a T-lineage component, confirming genetic overlap with unilineage T-ALL. Several RAS and TP53 mutations were detected, consistent with the aggressive behavior typical of MPAL. DNMT3A mutations were also common, especially in older patients. Yan et al (25) performed targeted sequencing of 18 genes in 31 cases of MPAL, and found frequent IKZF1 mutations in Ph+ MPAL, similar to Ph+ B-ALL. They also identified mutations in the epigenetic regulators TET2, EZH2, and ASXL1 in a handful of cases. The 54 cases examined by these 2 groups were negative for NPM1 mutations. Kotrova et al (29) performed whole exome sequencing on sorted T-lymphoblast and myeloid blast populations from 2 cases of bilineal acute leukemia and found no difference in mutational profile between the immunophenotypically distinct blast populations. In both cases, the mutational profiles were dominated by mutations typical of T-ALL.


Several single- and multi-institution studies (24-27,30-34) describe retrospective review of acute leukemia records to identify cases of MPAL and/or biphenotypic acute leukemia by EGIL criteria, WHO criteria, or both. These studies found that MPAL accounts for approximately 2% of acute leukemias when using WHO criteria, and biphenotypic acute leukemia accounts for 3% to 5% of acute leukemias when using EGIL criteria. Studies that compared the 2 classification schemes found that fewer leukemias were classified as MPAL by WHO criteria, mostly owing to cases of ALL with expression of multiple myeloid surface markers but negative for MPO. (26,32,33) In addition, the WHO classification excludes cases of AML with t(8;21) and AML-MRC, which were considered biphenotypic by some studies that used the EGIL criteria. Shi and Munker35 performed a search of the US National Cancer Institute's Surveillance, Epidemiology and End Results (SEER) database for reported leukemia cases categorized as MPAL or acute biphenotypic leukemia, and found that these represented 0.6% of acute leukemias in the database. The lower percentage in the SEER database compared to institutional retrospective reviews is likely due to failure to correctly identify MPAL in reporting to the SEER database compared to the retrospective reviews performed at academic institutions, where multiyear records of immunophenotyping data were reviewed for the purpose of consistently applying the EGIL and/or WHO criteria.

These studies showed a broad age range for MPAL with a slight male predominance, approximately 1.5:1 in most series. Outcomes for MPAL were generally worse than for comparison cohorts of patients with AML and ALL. The poor outcomes mostly correlated with enrichment for high-risk genetics in the MPAL cohorts, including BCR-ABL1 fusion, KMT2A rearrangements, and complex karyotype. In most reports, the patients were initially treated with the local standard of care for B-ALL, T-ALL, or AML, based on which lineage appeared dominant by immunophenotype and morphologic evaluation. Most reports showed better initial response to ALL-directed chemotherapy than AML-directed therapies. In some cases, poor responders were switched from AML-directed to ALL-directed therapies (or vice versa), and more than half of the patients achieved complete remission with the second regimen. (18,27) A recent review of stem cell transplant experience in MPAL suggests that allogeneic stem cell transplant in first complete remission is beneficial. (36)


The most pressing concern for the diagnostic pathologist approaching a new acute leukemia is to quickly provide necessary and sufficient information for initial treatment. Currently, the most common clinical practice is to initially treat MPAL patients with ALL-directed chemotherapy. (2) This approach is supported by the retrospective studies described in the previous section and also makes pathophysiological sense because most acute leukemias that fit the current WHO classification of MPAL more closely resemble ALL than AML in terms of genetics and immunophenotype (as reviewed above). Furthermore, the types of AML that most frequently show significant coexpression of lymphoid markers are AML with t(8;21) and AML-MRC, both of which are explicitly excluded from the MPAL category in the WHO classification. Based on current practices, the diagnostic error most likely to trigger inappropriate treatment is making a diagnosis of MPAL based on FCM when subsequent cytogenetic analysis changes the diagnosis to AML with t(8;21) or AML-MRC. Avoiding this pitfall requires careful correlation with the blood and bone marrow morphology and patient history (for AML-MRC). Most MPALs have numerous primitive blasts and/or partial monocytic differentiation, in contrast to AML with t(8;21) and AML-MRC, which usually have prominent granulocytic maturation in the bone marrow and may have prominent dysplastic features.

Interpretation of MPO expression can be a pitfall for distinguishing between ALL and MPAL, owing to the lack of precise guidelines and varying techniques for MPO detection. Fortunately, evidence that most MPALs respond to ALL-directed induction therapy relieves some of the pressure on interpreting MPO expression in blasts with predominantly lymphoid features. When evaluating an acute leukemia that seems most consistent with ALL but expresses significant MPO, it can be helpful to discuss the findings with the treating physician to ensure that he or she is aware of evidence that these leukemias usually respond best to ALL-directed therapy despite the presence of MPO.

Another common pitfall is to overlook minor populations of monocytic blasts, lymphoid blasts, or myeloid blasts that are diagnostic of bilineal acute leukemia. This error usually does not change the initial treatment; however, correctly diagnosing bilineal acute leukemia provides an early warning of high-risk disease and of the potential for sudden proliferation of a minor clone during induction therapy.

We have noticed occasional misapplication of the WHO criteria for assigning mixed lineage to a single blast population (Table 2) to decide whether an acute leukemia can be assigned to a specific lineage or is undifferentiated/ unclassifiable. These criteria are only intended to be used for the diagnosis of biphenotypic MPAL (6). For example, AML with minimal differentiation (FAB M0) is negative for MPO by EC by definition but it is still classified as myeloid lineage. Also, the lack of strong CD3 or CD19 expression does not exclude the diagnosis of ALL, so long as the blasts lack definitive features of myeloid or monocytic differentiation. In contrast, acute undifferentiated leukemia lacks any expression of lineage markers, typically only expressing CD34, CD38, and/or HLA-DR. (6)


More than 40 years after the FAB classification of acute leukemias was proposed, the role of MPO in defining myeloid lineage or mixed lineage is still a topic of discussion and investigation. As described above, it is well documented that MPO mRNA and protein can be detected in blasts with lymphoid phenotype that are negative for MPO by EC. A recent study (37) examined a cohort of 293 patients with B-ALL excluding leukemias with BCR-ABL1 fusion or KMT2A rearrangement, and it identified 29 cases that were positive for MPO by FCM and negative for other myeloid markers. Only 1 case was positive for MPO by EC. Compared to the rest of the B-ALL cohort, MPO+ B-ALL was associated with a higher rate of relapse and shorter event-free survival. These findings suggest that detection of MPO by FCM is a prognostically significant biomarker, even when MPO enzymatic activity is undetectable. However, it is unclear whether isolated expression of MPO in B-ALL is evidence of the lineage plasticity characteristic of MPAL.

The significance of MPO expression in T-ALL is also uncertain. Studies of FLT3 mutations in T-ALL found that these mutations correlate with an early T-precursor (ETP)--like immunophenotype, and most cases expressed MPO. (38,39) FLT3 mutations have also been detected in several cases of bona fide ETP-ALL. (40) Based on 2016 WHO criteria, (7) the presence or absence of MPO is a discriminating factor between the diagnosis of ETP-ALL and MPAL, T/myeloid. It would be interesting to know if cases of MPAL, T/myeloid, with FLT3 mutation have a gene expression profile that matches the previously defined profile for ETP-ALL, (41) because it seems likely that these leukemias are closely related.

Exclusion of AML-MRC from the MPAL category in the WHO classification has helped to restrict the MPAL designation to a group of acute leukemias that are more closely related to ALL than to AML. However, the significance of mixed phenotype within the context of AML-MRC is uncertain. Studies of the prognostic impact of immunophenotype in AML suggest that aberrant expression of lymphoid markers has minimal prognostic significance when cytogenetic risk groups are included in the analysis. (42) To the best of our knowledge, the impact of MPAL immunophenotype on outcomes in AML-MRC has not been specifically addressed. A recent submission to the American Society of Hematology's Image Bank described a bilineal acute leukemia comprising B lymphoblasts and myeloid blasts. (43) Owing to a complex karyotype including monosomy 7, the leukemia was classified as AML-MRC by WHO criteria, and significant dysgranulopoiesis was also present. Details of therapy and outcome were not provided; however, it seems unlikely that an acute leukemia with a prominent B-lymphoblast population would behave as a typical AML-MRC. Further investigation is needed to evaluate the overlap between AML-MRC and MPAL to ensure optimal classification and treatment decisions.


Mixed-phenotype acute leukemia is a diagnostic and therapeutic challenge owing to its heterogeneity, overlapping features with other types of ALL and AML, and lineage plasticity. Multiparameter FCM can detect immunophenotypic profiles typical of MPAL, and international consensus guidelines have contributed greatly to the standardization of diagnosis and clinical investigation of these unusual leukemias. There are several unresolved questions about the diagnostic criteria for MPAL that will require further studies of the correlation between immunophenotype, genotype, lineage plasticity, and therapeutic response.


(1.) Weinberg OK, Arber DA. Mixed-phenotype acute leukemia: historical overview and a new definition. Leukemia. 2010;24(11):1844-1851.

(2.) Wolach O, Stone RM. How I treat mixed-phenotype acute leukemia. Blood. 2015;125(16):2477-2485.

(3.) Sakaki H, Kanegane H, Nomura K, et al. Early lineage switch in an infant acute lymphoblastic leukemia. Int J Hematol. 2009;90(5):653-655.

(4.) Rossi JG, Bernasconi AR, Alonso CN, et al. Lineage switch in childhood acute leukemia: an unusual event with poor outcome. Am J Hematol. 2012;87(9): 890-897.

(5.) Bene MC, Castoldi G, Knapp W, et al. Proposals for the immunological classification of acute leukemias: European Group for the Immunological Characterization of Leukemias (EGIL). Leukemia. 1995;9(10):1783-1786.

(6.) Borowitz MJ, Bene MC, Harris NL, Porwit A, Matutes E. Acute leukemias of ambiguous lineage. In: WHO Classification of Tumours of Haematopoietic and Lymphoid Tissues. Lyon, France: IARC Press; 2008. World Healh Organization Classification of Tumours; vol 2.

(7.) Arber DA, Orazi A, Hasserjian R, et al. The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood. 2016;127(20):2391-2405.

(8.) Zhou M, Findley HW, Zaki SR, Little F, Coffield LM, Ragab AH. Expression of myeloperoxidase mRNA by leukemic cells from childhood acute lymphoblastic leukemia. Leukemia. 1993;7(8):1180-1183.

(9.) Austin GE, Alvarado CS, Austin ED, et al. Prevalence of myeloperoxidase gene expression in infant acute lymphocytic leukemia. Am J Clin Pathol. 1998; 110(5):575-581.

(10.) Serrano J, Roman J, Jimenez A, et al. Genetic, phenotypic and clinical features of acute lymphoblastic leukemias expressing myeloperoxidase mRNA detected by RT-PCR. Leukemia. 1999;13(2):175-180.

(11.) Sanchez J, Serrano J, Garcia-Castellano JM, Madrigal E, Torres A. Detection of myeloperoxidase by flow cytometry in acute lymphoblastic leukaemias with BCR-ABL gene rearrangement. Leukemia. 2001;15(10):1671-1672.

(12.) van der Schoot CE, Daams GM, Pinkster J, Vet R, von dem Borne AE. Monoclonal antibodies against myeloperoxidase are valuable immunological reagents for the diagnosis of acute myeloid leukaemia. Br J Haematol. 1990; 74(2):173-178.

(13.) Bennett JM, Catovsky D, Daniel MT, et al. Proposals for the classification of the acute leukaemias: French-American-British (FAB) Co-operative Group. Br J Haematol. 1976;33(4):451-458.

(14.) Guy J, Antony-Debre I, Benayoun E, et al. Flow cytometry thresholds of myeloperoxidase detection to discriminate between acute lymphoblastic or myeloblastic leukaemia. Br J Haematol. 2013;161(4):551-555.

(15.) van den Ancker W, Westers TM, de Leeuw DC, et al. A threshold of 10% for myeloperoxidase by flow cytometry is valid to classify acute leukemia of ambiguous and myeloid origin. Cytometry B Clin Cytom. 2013;84(2):114-118.

(16.) Borowitz MJ. Mixed phenotype acute leukemia. Cytometry B Clin Cytom. 2014;86(3):152-153.

(17.) Weir EG, Ali Ansari-Lari M, Batista DA, et al. Acute bilineal leukemia: a rare disease with poor outcome. Leukemia. 2007;21(11):2264-2270.

(18.) Gerr H, Zimmermann M, Schrappe M, et al. Acute leukaemias of ambiguous lineage in children: characterization, prognosis and therapy recommendations. Br J Haematol. 2010;149(1):84-92.

(19.) Rayes A, McMasters RL, O'Brien MM. Lineage switch in MLL-rearranged infant leukemia following CD19-directed therapy. Pediatr Blood Cancer. 2016; 63(6):1113-1115.

(20.) Pane F, Frigeri F, Camera A, et al. Complete phenotypic and genotypic lineage switch in a Philadelphia chromosome-positive acute lymphoblastic leukemia. Leukemia. 1996;10(4):741-745.

(21.) Manola KN. Cytogenetic abnormalities in acute leukaemia of ambiguous lineage: an overview. Br J Haematol. 2013;163(1):24-39.

(22.) Tiacci E, Pileri S, Orleth A, et al. PAX5 expression in acute leukemias: higher B-lineage specificity than CD79a and selective association with t(8;21)acute myelogenous leukemia. Cancer Res. 2004;64(20):7399-7404.

(23.) Iriyama N, Hatta Y, Takeuchi J, et al. CD56 expression is an independent prognostic factor for relapse in acute myeloid leukemia with t(8;21). Leuk Res. 2013;37(9):1021-1026.

(24.) Matutes E, Pickl WF, Van't Veer M, et al. Mixed-phenotype acute leukemia: clinical and laboratory features and outcome in 100 patients defined according to the WHO 2008 classification. Blood. 2011;117(11):3163-3171.

(25.) Yan L, Ping N, Zhu M, et al. Clinical, immunophenotypic, cytogenetic, and molecular genetic features in 117 adult patients with mixed-phenotype acute leukemia defined by WHO-2008 classification. Haematologica. 2012;97(11): 1708-1712.

(26.) Weinberg OK, Seetharam M, Ren L, Alizadeh A, Arber DA. Mixed phenotype acute leukemia: a study of 61 cases using World Health Organization and European Group for the Immunological Classification of Leukaemias criteria. Am J Clin Pathol. 2014;142(6):803-808.

(27.) Rubnitz JE, Onciu M, Pounds S, et al. Acute mixed lineage leukemia in children: the experience of St Jude Children's Research Hospital. Blood. 2009; 113(21):5083-5089.

(28.) Eckstein OS, Wang L, Punia JN, et al. Mixed-phenotype acute leukemia (MPAL) exhibits frequent mutations in DNMT3A and activated signaling genes. Exp Hematol. 2016;44(8):740-744.

(29.) Kotrova M, Musilova A, Stuchly J, et al. Distinct bilineal leukemia immunophenotypes are not genetically determined. Blood. 2016;128(18):2263-2266.

(30.) Killick S, Matutes E, Powles RL, et al. Outcome of biphenotypic acute leukemia. Haematologica. 1999;84(8):699-706.

(31.) Owaidah TM, Al Beihany A, Iqbal MA, Elkum N, Roberts GT. Cytogenetics, molecular and ultrastructural characteristics of biphenotypic acute leukemia identified by the EGIL scoring system. Leukemia. 2006;20(4): 620-626.

(32.) Al-Seraihy AS, Owaidah TM, Ayas M, et al. Clinical characteristics and outcome of children with biphenotypic acute leukemia. Haematologica. 2009; 94(12):1682-1690.

(33.) van den Ancker W, Terwijn M, Westers TM, et al. Acute leukemias of ambiguous lineage: diagnostic consequences of the WHO 2008 classification. Leukemia. 2010;24(7):1392-1396.

(34.) Mejstrikova E, Volejnikova J, Fronkova E, et al. Prognosis of children with mixed phenotype acute leukemia treated on the basis of consistent immunophenotypic criteria. Haematologica. 2010;95(6):928-935.

(35.) Shi R, Munker R. Survival of patients with mixed phenotype acute leukemias: a large population-based study. Leuk Res. 2015;39(6):606-616.

(36.) Wolach O, Stone RM. Mixed-phenotype acute leukemia: current challenges in diagnosis and therapy. Curr Opin Hematol. 2017;24(2):139-145.

(37.) Oberley MJ, Li S, Orgel E, Phei Wee C, Hagiya A, O'Gorman MR. Clinical significance of isolated myeloperoxidase expression in pediatric B-lymphoblastic leukemia. Am J Clin Pathol. 2017;147(4):374-381.

(38.) Hoehn D, Medeiros LJ, Chen SS, et al. CD117 expression is a sensitive but nonspecific predictor of FLT3 mutation in Tacute lymphoblastic leukemia and T/ myeloid acute leukemia. Am J Clin Pathol. 2012;137(2):213-219.

(39.) Zaremba CM, Oliver D, Cavalier M, Fuda F, Karandikar NJ, Chen W. Distinct immunophenotype of early T-cell progenitors in T lymphoblastic leukemia/lymphoma may predict FMS-like tyrosine kinase 3 mutations. Ann Diagn Pathol. 2012;16(1):16-20.

(40.) Zhang J, Ding L, Holmfeldt L et al. The genetic basis of early T-cell precursor acute lymphoblastic leukaemia. Nature. 2012;481(7380):157-163.

(41.) Coustan-Smith E, Mullighan CG, Onciu M, et al. Early T-cell precursor leukaemia: a subtype of very high-risk acute lymphoblastic leukaemia. Lancet Oncol. 2009;10(2):147-156.

(42.) Chang H, Salma F, Yi QL, Patterson B, Brien B, Minden MD. Prognostic relevance of immunophenotyping in 379 patients with acute myeloid leukemia. Leuk Res. 2004;28(1):43-48.

(43.) Kajal B, Chang H. Acute myeloid leukemia with myelodysplasia-related changes demonstrating mixed-lineage phenotype. Blood. 2016;128(12):1663.

Nathan J. Charles, MD, PhD; Daniel F. Boyer, MD, PhD

Accepted for publication May 18, 2017.

From the Department of Pathology, The University of Michigan, Ann Arbor.

The authors have no relevant financial interest in the products or companies described in this article.

Presented in part at the New Frontiers in Pathology meeting; October 13-15, 2016;Ann Arbor, Michigan.

Reprints: Daniel F. Boyer, MD, PhD, Department of Pathology, The University of Michigan, 5242A Medical Science Building I, 1301 Catherine St, Ann Arbor, MI 48109-5602 (email: dfboyer@med.

Please Note: Illustration(s) are not available due to copyright restrictions

Caption: Figure 1. Mixed-phenotype acute leukemia, B/myeloid, with biphenotypic blasts. A, Peripheral blood smear containing numerous large blasts with irregular nuclear contours and occasional cytoplasmic vacuoles. B through F, Flow cytometric evaluation of the peripheral blood shows a dominant population of [CD34.sup.+], CD45-dim blasts (blue) and a smaller population of mature lymphocytes (red). The blasts are strongly positive for the B-cell markers CD19 and cytoplasmic CD79a (cCD79a), and uniformly coexpress the myeloid markers CD15 and cytoplasmic myeloperoxidase (cMPO) (Wright-Giemsa, original magnification X1000 [A]). Abbreviations: ECD, electron-coupled dye; FITC, fluorescein isothiocyanate; PC5, phycoerythrincyanine 5; PE, phycoerythrin; SS, side scatter.

Caption: Figure 2. Mixed-phenotype acute leukemia, T/myeloid, with bilineal blasts. A, Touch imprint of bone marrow core biopsy including a few large blasts (black arrows) with coarse cytoplasmic granules and several small blasts (yellow arrows) with scant cytoplasm. B, Bone marrow aspirate smear from the same biopsy also shows a large blast with coarse granules (black arrow) and a small blast with fine granules (yellow arrow). C, The coarse granules (black arrow) are positive for myeloperoxidase (MPO), while the small blast (yellow arrow) is negative for MPO. D, Flow cytometry of the hemodilute bone marrow aspirate shows a dominant population of mature lymphocytes (red) and an expanded population of CD45-dim blasts (orange and purple). E, Flow cytometric characterization of the blast population shows 2 distinct subpopulations, as based on differential expression of CD7 (orange) and CD117 (purple). F, The [CD7.sup.+] blast population (orange) is strongly positive for cytoplasmic CD3 (cCD3) with c-expression of TdT. The [CD117.sup.+] blasts (purple) are negative for cCD3 and TdT. Additional testing (not shown) demonstrated that the [CD7.sup.+] blasts were also positive for CD5 and negative for surface CD3, CD1a, CD2, CD4, and CD8. Both populations of blasts were positive for CD11b, CD33, CD34, CD38, and CD56 (Wright-Giemsa, original magnification X1000 [A and B]; MPO stain [3,3-diaminobenzidine], original magnification X1000 [C]). Abbreviations: ECD, electron-coupled dye; FITC, fluorescein isothiocyanate; PC7, phycoerythrin-cyanine 7; PE, phycoerythrin; SS, side scatter; TdT, terminal deoxynucleotidyl transferase.
Table 1. European Group for Immunological
Characterization of Acute Leukemias (EGIL)
Algorithm for Biphenotypic Blasts (a,b)

Points      B              T            Myeloid

2        cyCD79a   CD3 (sm or cy)         MPO
         cyCD22    TCR-[alpha][beta]
         cyIgM     TCR-[gamma][delta]
1        CD19      CD2                   CD117
         CD20      CD5                   CD13
         CD10      CD8                   CD33
                   CD10                  CDw65
0.5      TdT       TdT                   CD14
         CD24      CD7                   CD15
                   CD1a                  CD64

Abbreviations: cy, cytoplasmic; IgM, immunoglobulin M;
MPO, myeloperoxidase; sm, surface membrane;TCR, T-cell
receptor;TdT, terminal deoxynucleotidyl transferase.

(a) Biphenotypic leukemia is diagnosed when scores are
greater than 2 in 2 lineage columns.

(b) Data derived from Bene et al. (5)

Table 2. World Health Organization 2008/2016
Criteria for Mixed-Phenotype Blasts (a)

Lineage     Markers

Myeloid     MPO (flow cytometry, immunohistochemistry,
            or enzyme cytochemistry)


            Monocytic differentiation (at least 2 of the
            following: NSE cytochemistry, CD11c,
            CD14, CD64, lysozyme)

T lineage   Strong (b) cytoplasmic CD3


            Surface CD3

B lineage   Strong (b) CD19 with at least 1 of the following
            strongly expressed: CD79a, cytoplasmic
            CD22, or CD10


            Weak CD19 with at least 2 of the following
            strongly expressed: CD79a, cytoplasmic
            CD22, or CD10

Abbreviations: MPO, myeloperoxidase, NSE, nonspecific esterase.

(a) Data derived from Borowitz et al6 and Arber et al. (7)

(b) Strong = at least as intense as in normal B or T cells.
COPYRIGHT 2017 College of American Pathologists
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2017 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Title Annotation:Special Section--2016 New Frontiers in Pathology, Part II
Author:Charles, Nathan J.; Boyer, Daniel F.
Publication:Archives of Pathology & Laboratory Medicine
Article Type:Report
Date:Nov 1, 2017
Previous Article:Fetal Vascular Malperfusion.
Next Article:Myxoinflammatory Fibroblastic Sarcoma: Review and Update.

Terms of use | Privacy policy | Copyright © 2021 Farlex, Inc. | Feedback | For webmasters |