Comparison of Multiple Clinical Testing Modalities for Assessment of NPM1-Mutant AML

Background: NPM1 mutation status can influence prognosis and management in AML. Accordingly, clinical testing (i.e., RT-PCR, NGS and IHC) for mutant NPM1 is increasing in order to detect residual disease in AML, alongside flow cytometry (FC). However, the relationship of the results from RT-PCR to traditional NGS, IHC and FC is not widely known among many practitioners. Herein, we aim to: i) describe the performance of RT-PCR compared to traditional NGS and IHC for the detection of mutant NPM1 in clinical practice, and also compare it to FC, and ii) provide our observations regarding the advantages and disadvantages of each approach in order to inform future clinical testing algorithms.

Methods: Peripheral blood and bone marrow samples collected for clinical testing at variable time points during patient management were tested by quantitative, real-time, RT-PCR and results were compared to findings from a Myeloid NGS panel, mutant NPM1 IHC and FC.

Results: RT-PCR showed superior sensitivity compared to NGS, IHC and FC with the main challenge of NGS, IHC and FC being the ability to identify a low disease burden (<0.5% NCN by RT-PCR). Nevertheless, the positive predictive value of NGS, IHC and FC were each ≥ 80% indicating that positive results by those assays are typically associated with RT-PCR positivity. IHC, unlike bulk methods (RT-PCR, NGS and FC), is able provide information regarding cellular/architectural context of disease in biopsies. FC did not identify any NPM1-mutated residual disease not already detected by RT-PCR, NGS or IHC.

Conclusion: Overall, our findings demonstrate that RT-PCR shows superior sensitivity compared to a traditional Myeloid NGS, suggesting the need for “deep-sequencing” NGS panels for NGS-based monitoring of residual disease in NPM1-mutant AML. IHC provides complementary cytomorphologic information to RT-PCR. Lastly, FC may not be necessary in the setting of post-therapy follow up for NPM1-mutated AML. Together, these findings can help inform future clinical testing algorithms.

Introduction

Nucleophosmin (NPM1) is a highly expressed nucleolar protein, which has been implicated in diverse cellular functions in many cell types (1). Genetic alterations including translocations and mutations of NPM1 have been reported in a variety of myeloid disorders (1, 2). More specifically, mutations in NPM1 have been reported in approximately 50% of acute myeloid leukemia (AML) with a normal karyotype and represents a distinct subset of AML according to the World Health Organization classification (2, 3). NPM1 mutations in AML are frameshift variants (i.e., small insertion/deletions) in the terminal exon, frequently involving codons Trp288 or Trp290 (3). The most common variant is the Type A mutation (c.860_863dupTCTG; p.W288Cfs*12), which constitutes approximately 80% of all NPM1 mutations in AML (3). As a result of the Type A frameshift variant (as well as other less common frameshift variants), the amino acid sequence of the C-terminus of the NPM1 protein is altered, leading to abnormal cytoplasmic localization of mutant NPM1 in leukemic cells (3, 4).

The presence of NPM1 mutations in AML has prognostic significance which is modified with co-mutations in FLT3 (internal tandem duplications, ITD) and DNMT3A. For example, NPM1 mutation without FLT3 ITD or DNMT3A co-mutation tends to be associated with a better prognosis, than when co-existing with FLT3 ITD and/or DNMT3A mutations (2, 5–8). Thus, the mutation status of NPM1 (as well as other genes such as FLT3) can help direct clinical management decisions related to bone marrow transplantation (2, 9, 10) as well as specific chemotherapy regimens, including the use of BH3-mimetics (e.g., venetoclax) (11–13). Additionally, NPM1 has been shown to be a reliable molecular biomarker of disease, which is retained in > 90% of relapsed patients who initially had mutated NPM1 at AML diagnosis (9, 14, 15); thus, interrogation of mutant NPM1 can be used to identify minimal/measurable residual disease (MRD) and/or early relapse, post-therapy. According to Ivey et al., after the second cycle of chemotherapy, AML patients with mutated NPM1 transcripts detectable in the blood had a greater relapse rate and shorter survival than patients without detectable mutated NPM1 transcripts (9). Other studies have suggested a relationship between high NPM1 mutant allele burden at diagnosis and inferior clinical outcome in de novo NPM1-mutated AML (16–18). Additionally, recent preliminary studies suggest that therapy response (i.e., post-therapy fold-reduction of mutant NPM1 transcripts from baseline levels at diagnosis) may affect risk of disease progression (19). Thus, the need to assess and track mutant NPM1 is growing, as part of an overall effort to harness molecular and immunophenotypic approaches to evaluate residual disease and identify early relapse in AML (20, 21).

Molecular testing for NPM1 mutation has been described using both RNA and/or genomic DNA (15, 22). RNA has been suggested to provide greater analytical sensitivity than genomic DNA, and consequently, RNA input has been used in most follow-up monitoring studies (9, 22). Typically, RNA is used in a quantitative, real-time, reverse transcription PCR (RT-PCR) assay using mutant-NPM1 specific primers with the NPM1-mutant transcript signal normalized by ABL1 transcripts (% Normalized Copy Number: (mutant NPM1 copy number/ABL1 copy number) x 100). Other methods to detect mutant NPM1 including next generation sequencing (NGS)-based (23, 24) and immunohistochemical (IHC)-based (17, 25, 26) approaches have been described. A recent European LeukemiaNet consensus document has begun to raise awareness of the clinical and technical challenges for the application of molecular (i.e., RT-PCR, NGS) and flow cytometric (FC) methods to assess MRD in AML, including the assessment of mutant NPM1 (21). Thus, as these assays become more broadly implemented in the clinical setting, continued improvement in the understanding of the relative performance of these assays is needed by practitioners in pathology, oncology and other disciplines who perform, interpret and use the results for clinical management. Currently, RT-PCR is considered by most to be the “gold standard” for the detection of MRD in NPM1-mutant AML; thus, at our center, we have implemented RT-PCR, alongside other testing methods, to assess mutant NPM1 as a part of prospective testing used in real-time, during routine clinical practice. Herein, we aim to: i) compare the performance of our RT-PCR assay to our NGS and IHC (i.e., to compare the detection of mutant NPM1 RNA transcript, mutant NPM1 genomic DNA sequence, and mutant NPM1 protein, respectively) as well as compare RT-PCR to routine FC, ii) provide information regarding the advantages and disadvantages experienced with each approach.

Materials and Methods

Cases

The samples comprise individual, consecutively received peripheral blood (PB) and/or bone marrow (BM) specimens from patients undergoing routine clinical work up for diagnosis and/or follow up of acute myeloid leukemia [94 samples from 37 unique patients: 17 men, 20 women, average age at diagnosis: 60y (range 30-93y)]. Patients had a prior history of NPM1 mutation (Type A) and corresponded to follow up samples, except for 7 samples (#21, #28, #62, #63, #66, #84, #93) which were tested at initial diagnosis (of note, all of these 7 initial diagnostic samples showed concordant results for NPM1 mutation status by RT-PCR, NGS and IHC (pan-negative: #21, #28, #62, #63, #66, #93; or pan-positive: #84). Appropriately, the 6 samples that were negative for NPM1-mutation at diagnosis (#21, #28, #62, #63, #66, #93) were not used in the comparison of FC to RT-PCR since, as expected, FC would be positive for leukemia at diagnosis and RT-PCR would be negative. Overall, all samples with NPM1 RT-PCR data available and data from at least one other testing modality (NGS, IHC or FC) were included (see Supplementary Table 1 for data available for each sample). Specimen types available for RT-PCR and NGS included both PB and BM, while specimen type available for IHC and FC included only BM samples (Supplementary Figure 1). In standard clinical practice, all laboratory tests are not performed on both PB and BM simultaneously. Thus, for PB specimens with RT-PCR data or with RT-PCR and NGS data available, comparison was made to the results of the other testing modalities (e.g., IHC, FC) from a recent BM biopsy (within 2 weeks of the PB sample). In addition, separate comparison of the results from the various testing modalities was performed after restricting samples to the same specimen type and the same collection date (Supplementary Table 2), in order to rule out any potential confounding effect of time and sample for the assay results being compared. Lastly, a separate group of diagnostic AML samples which did not have RT-PCR data were used to compare mutant NPM1 IHC versus NGS (Supplementary Table 3).

Real-Time, Reverse Transcription PCR (RT-PCR) Assay for Type A Mutant NPM1 Transcripts

Patients’ PB and/or BM aspirate samples collected in EDTA tubes underwent RNA extraction (QIAamp RNA Blood Mini Kit, #52304) according to standard protocol. Reverse transcription was performed with RNA (≥ 1µg) in 20 µL final volume (SuperScript III RT, Life Technologies, #18080085; RNaseOUT, Life Technologies, #10777019; Random Primers, Life Technologies, #48190011; dNTP mix (10 mM), Promega, #U151B; First Strand Buffer (5x) and DTT (0.1 M)) at 65°C for 5 minutes, then placed on ice or left at 4°C for at least 1 minute; cycling conditions: 25°C (10 min), 50°C (50 min), 85°C (5 min), 4°C (Hold) (Applied Biosystems, GeneAmp 9700 thermocycler or ProFlex PCR systems). cDNA was diluted by adding 30 µL of nuclease-free water (50 µL total volume). Five µL of the diluted cDNA (corresponding to ≥ 100 ng RNA equivalent) was input into real-time PCR (NPM1 mutA MutaQuant primers and probes, Ipsogen, Qiagen, #677513) using ABI 7500 Fast Real-Time PCR system (Applied Biosystems), TaqMan Universal PCR Master Mix, Life Technologies, #4304437; with cycling conditions: 50°C (2 min); 95°C (10 min); [95°C (15 sec), 60°C (60 sec)] x 50 cycles. Analysis was performed with a threshold of approximately 0.1 set for both NPM1 and ABL. RT-PCR results were reported as % Normalized Copy Number (%NCN): (NPM1 Mutant A Copy Number/ABL Copy Number) x 100. All samples and controls were run in duplicate reactions. We have previously validated the performance characteristics of the RT-PCR assay to detect NPM1 Type A mutant transcripts in patient PB and BM aspirate specimens (27); the RT-PCR assay showed the expected analytical sensitivity (limit of detection approximately 0.01% NCN).

Myeloid NGS Panel

A custom 45 gene NGS panel [Thunderstorm system, RainDance Technologies, Billerica, MA, USA, Illumina MiSeq (v3 chemistry)] interrogating single nucleotide variants (SNV) and insertion/deletions (InDels) was used. Samples were run in duplicate. The NGS detection sensitivity was approximately 2% for SNV and 1% for INDEL. In addition, every NGS case was manually reviewed in IGV for the presence of any mutant NPM1 sequencing reads (limit of detection approximately 0.1%-1% variant allele frequency (VAF)). The mean and median sequencing read depth at the NPM1 mutation locus (chr5:170,837,530-170,837,570) were 3036 and 2905 reads, respectively.

Immunohistochemistry

IHC for mutant NPM1 was performed on 5um Bouin or formalin fixed paraffin embedded BM core biopsy or clot sections using anti-mutant NPM1 antibody (Thermo Fisher/PA1-46356, Polyclonal, 1:1500 dilution) with ER2 antigen retrieval for 30 mins [H2 (30 mins) on the Leica Bond III automated immunostainer using alkaline phosphatase Refine Red detection (Leica Biosystems Inc., Buffalo Grove, IL.]. The antibody is directed against the epitope of Type A mutation (c.863_864insTCTG) of NPM1 and it targets the c-terminus region (including amino acids within the final exon of NPM1). Differences in immunostaining were not observed for Bouin or formalin fixed samples. Immunostaining results were reviewed by the original hematopathologist and also reviewed by a separate hematopathologist (MK) blinded to results from other testing modalities. Immunostaining for mutant NPM1 protein was considered positive if there was homogenous, cytoplasmic staining in >3 hematopoietic cells, with the positive cells often forming clusters. Cases were considered negative if there was no such staining in hematopoietic cells. Cases were considered borderline positive when there were very rare (i.e., 1-3 cells), scattered hematopoietic cells with variable cytoplasmic staining, such that the result could not be easily distinguished from background signal, due to the very low number and variable intensity staining of suspected cells. If there was discordance such that one pathologist considered the case to be borderline positive by IHC, but the other pathologist considered it negative, then the case was assigned to the borderline positive IHC category, since the presence of any potential mutant NPM1 protein staining (above background) in hematopoietic cells could be significant (given that the mutant protein is not expressed in normal tissues).

Flow Cytometry

Flow cytometry (8-color) was performed using the EuroFlow AML panels (28), which include many markers (e.g. CD45, HLA-DR, CD117, CD34, CD13, CD33, CD56, CD7, etc). FC does not include analysis of NPM1 protein. FC results were analyzed with BD FACSDiva software (BD Biosciences, San Jose, CA). Gating was performed using FSC-A/FSC-H to identify singlets, CD45/Viability Dye to identify viable cells, and FSC/SSC, CD45/SSC to identify blast, lymphocyte, monocyte and granulocyte subpopulations. In follow up samples, identification of leukemic blasts was performed by assessment for the abnormal immunophenotypic profile which was recorded at diagnosis. Approximately 500,000 cells were collected in samples if FC appeared negative and an adequate number of cells were available. FC was reported as positive when there was diagnostic evidence of the patient’s prior leukemic blast population. FC was reported as borderline when there was an atypical blast population with a dissimilar phenotype of uncertain significance. FC was considered negative when diagnostic evidence of acute leukemia was not seen.

Statistical Analysis

Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and concordance (i.e., the number of cases which were positive (and negative) by the 2 respective testing modalities, divided by total number of cases tested) were calculated for each modality (NGS, IHC and FC) in comparison to RT-PCR. Fisher’s Exact Test was used for statistical comparison (Table 2, Supplementary Table 2). PPV and NPV indicate the performance of NGS, IHC and FC compared to RT-PCR (which is considered the “gold standard” test). Statistical analysis was performed using the base R package; graphics were generated with GGPLOT2.

This work is covered under the IRB Protocol #: 1007011151.

Results

Samples were acquired from patients undergoing routine clinical workup for diagnosis and/or follow up of AML. A total of 94 PB or BM specimens were received for NPM1 quantitative RT-PCR testing, for which data were also available from other testing modalities (e.g., NGS, IHC, FC) (Supplementary Figure 1). A small subset of patients in the current cohort had both PB and BM available from the same date of collection; RT-PCR of these samples showed %NCN scores for BM which were similar to, or greater than, the % NCN score seen in the concomitant PB (Supplementary Figure 2), consistent with the pattern of potentially greater sensitivity of bone marrow samples reported previously (9).

NPM1 Type A mutant RT-PCR results were compared to NGS, IHC and FC results (Table 1). Overall, there were 94 samples with RT-PCR data including 54 (57%) positive and 40 (43%) negative samples. Among these 94 samples, NGS data was available for 72 (77%), IHC data for 81 (86%) and FC data for 81 (86%) samples (see Supplementary Table 1 for additional details regarding data available from each modality for each sample). Among the RT-PCR positive samples, 12 of 39 (31%) samples with NGS data were NGS positive, 37 of 47 (79%) samples with IHC data were IHC positive (including borderline positive samples), and 17 of 46 (37%) FC samples were FC positive (including borderline positive samples) (Table 1).

TABLE 1

Table 1 Summary of Results: NPM1 Type A Mutation Status.

In order to better understand the relationship between RT-PCR results compared to Myeloid NGS, Mutant NPM1 IHC and FC, contingency tables were generated (Table 2).

TABLE 2

Table 2 NPM1 status: RT-PCR v. NGS.

Myeloid NGS

As noted above, the Myeloid NGS panel showed a sensitivity of 31% (12/39) compared to RT-PCR; the RT-PCR positive samples which were negative by NGS had RT-PCR values of ≤ 0.5% NCN in 22 of 27 samples (Supplementary Table 1, Figure 1) indicating a low disease burden that was detectable by RT-PCR but not NGS. The remaining 5 samples had >0.5% NCN by RT-PCR and 4 of these samples had IHC data available; each of the 4 samples were positive by IHC, compatible with the positive RT-PCR result. These 27 NGS-negative cases accounted for the negative predictive value of approximately 53% for NGS compared to the RT-PCR assay. On the other hand, the Myeloid NGS panel showed a specificity of 94% (Table 2); the 2 samples which were positive for NGS, but negative by RT-PCR (samples 27 and 79, Supplementary Table 1, both with known history of NPM1 Type A mutation) showed very low/borderline NGS VAF values (approximately 0.08% VAF), borderline IHC results and negative FC results. These 2 cases resulted in the NGS assay showing a positive predictive value 86% compared to RT-PCR. For sample 27, RT-PCR and NGS were both performed on the BM specimen at 100 days post-transplant; additional follow up over the subsequent 10 months for this patient has shown persistent negativity for NPM1 by both RT-PCR (x2) and NGS (x2) (samples 36 and 75). The underlying reason for the difference in the RT-PCR and NGS results for sample 27 is uncertain but, may have resulted from sampling variability at a low level of disease, that subsequently was associated with more complete clearance of disease further out from transplant. For sample 79, NGS was performed on BM (at 28 days post-transplant) and subsequently (i.e., 6 days later) RT-PCR was performed on PB (as a follow up for the NGS finding); subsequent follow up on this patient 2 months later has revealed BM positivity for a very low level of disease by RT-PCR (0.014% NCN, sample 92) and borderline staining by IHC.

FIGURE 1

Figure 1 Overview of NGS, IHC and FC Results for All RT-PCR Positive Samples. (A) Mutant (Type A) NPM1 RT-PCR (%NCN) (plotted on Log₁₀ scale) is shown compared to NGS results; samples are grouped by NGS status (i.e., Negative, <1% VAF and >1% VAF). Samples are noted to be detectable by NGS only when RT-PCR % NCN values are ≥5%. (B) Mutant (Type A) NPM1 RT-PCR (%NCN) is shown compared to IHC results; samples are grouped by IHC status (i.e., Negative, Borderline Positive and Positive). In general, mutant NPM1 protein is detectable (i.e., Positive) by IHC when RT-PCR % NCN values are ≥1% (although occasional samples may show detectable mutant NPM1 protein by IHC at lower % NCN values (i.e., 0.01-1% NCN). (C) Mutant (Type A) NPM1 RT-PCR (%NCN) is shown compared to FC results; samples are grouped by FC status (i.e., Negative, Borderline Positive and Positive). In general, samples are Positive by FC only when RT-PCR % NCN values are >10% (although occasional samples may show borderline FC positivity at lower % NCN values).

Taken together, these findings indicate that the genomic DNA-based, standard Myeloid NGS panel used herein (with limit of detection 0.1%-1% VAF) is less sensitive than RNA-based RT-PCR, due primarily to the challenge of detecting mutant NPM1 in samples with a low burden of disease (<0.5% NCN by RT-PCR). Nevertheless, NGS may provide some helpful information in BM cases with borderline IHC and negative RT-PCR of PB. These findings support the need for further development and implementation of “deep-sequencing” NGS-based approaches in order to improve the sensitivity of NGS-based assays for the assessment of NPM1.

Mutant NPM1 IHC

Representative images of immunostaining are shown in Figure 2. Comparison of IHC results to RT-PCR, reveals a sensitivity of 79% (37/47) was observed for the IHC (including borderline IHC positive samples)(Table 2); the RT-PCR positive cases which were negative by IHC (10 samples) had a very low disease burden as evidenced by the %NCN RT-PCR values (≤0.05% NCN in 8 of 10 samples and <0.5% in the remaining 2 samples (Supplementary Table 1, Figure 1); in 7 of these 10 samples NGS data was available (Supplementary Table 1) and no mutant NPM1 alleles were detected in the 7 samples, consistent with the above NGS findings for cases with a low burden of disease by RT-PCR. Given the findings in these 10 samples, the negative predictive value of the IHC was 73% compared to the RT-PCR assay. In terms of other performance variables, the specificity of the IHC was 79% compared to RT-PCR (Table 2) and the positive predictive value of IHC was 84% compared to RT-PCR. The 7 samples (sample #s: 16, 17, 27, 37, 65, 67, 79)(Supplementary Table 1) which were positive by IHC but negative by RT-PCR showed only borderline IHC results, were negative by FC results, and were negative by NGS except for two cases (samples 27 and 79 which showed very low/borderline 0.08% VAF for NPM1 Type A mutation by NGS, as described in preceding section). Overall, the underlying reasons for the difference in the RT-PCR and IHC results for these 7 samples likely includes sampling variability at a low level of disease and/or difficulty discerning background IHC staining from true, rare positive cells. Sample 79 highlights a situation where borderline IHC results (when associated with even minimal evidence of mutant NPM1 by NGS) may be relevant, since RT-PCR on a subsequent BM sample from this patient (sample 92) has revealed very low persistent levels of mutant NPM1 by RT-PCR(0.014% NCN) as well as borderline IHC staining. Furthermore, the findings from another patient (corresponding to samples 16, 17, 37) also illustrate the potential utility of IHC in some BM samples to prompt appropriate follow up studies; more specifically, sample 16 (PB) and sample 17 (BM) collected at the same time were both negative for mutant NPM1 by RT-PCR and NGS; FC was also negative in the BM, however, IHC showed borderline staining. A subsequent PB specimen (sample 24) was negative by RT-PCR and NGS. Continued follow up of the patient over time revealed a very low level of mutant NPM1 transcripts (0.05% NCN) in PB (sample 33) by RT-PCR. During further follow up, BM biopsy was done and showed mutant NPM1 staining in rare, scattered cells (Figure 2, bottom left panel); NGS on the BM was negative and concomitant RT-PCR on a limited PB specimen (sample 37) appeared negative. Further follow up PB samples (sample 41, 42) confirmed low level of mutant NPM1 transcripts by RT-PCR. Taken together, the scenarios from these two patients highlight how mutant NPM1 IHC can be helpful in some cases to prompt appropriate follow up monitoring by RT-PCR and other studies.

FIGURE 2

Figure 2 Representative Images of Mutant NPM1 IHC. Top Left: Bone marrow negative for mutant NPM1 immunostaining (40x); inset (100x) shows lack of staining in hematopoietic cells; occasional background staining in vascular cells is noted. Bottom Left: Bone marrow borderline positive for mutant NPM1 immunostaining (40x); inset (100x) shows an immature hematopoietic cell which is positive for red, homogeneous cytoplasmic, mutant NPM1 immunostaining. Adjacent megakaryocyte is negative. Top Center: Bone marrow positive for mutant NPM1 immunostaining; this low power view (10x) shows patchy nature of staining; the cluster of red (positive) cells is noted on the left side of field. Bottom Center: Bone marrow positive for red, homogeneous cytoplasmic mutant NPM1 immunostaining in hematopoietic cells(40x); inset(100x). Top Right: Bone marrow positive for mutant NPM1 immunostaining; scattered positive hematopoietic cells are seen admixed with scattered positive megakaryocytes (40x); inset (100x). Bottom Right: Bone marrow positive for mutant NPM1 immunostaining in a sample with a very high tumor cell burden; frequent positive hematopoietic cells are seen (40x); inset (100x): focally admixed mature erythroid elements (i.e., cells with small, round, hyperchromatic (i.e., dark blue) nuclei) are negative.

A related useful aspect of mutant NPM1 immunostaining is that it can provide helpful information when the cellularity of BM aspirate and PB specimens used for bulk studies (i.e., RT-PCR, NGS and FC) may be variable (e.g., due to a “packed-marrow”) and may underestimate tumor cell number (Sample 64, Figure 2, bottom right panel). Again, in this situation also, the presence of mutant NPM1 staining can prompt appropriate follow up studies (RT-PCR, NGS, etc).

Lastly, IHC can provide information regarding the cytomorphologic details of mutant NPM1-positive cell types; it was observed that in addition to hematopoietic precursor-like cells (i.e., blast forms) being positive by mutant NPM1 IHC, occasional megakaryocytes were also positive. For example, a case with a subset of the megakaryocytes positive for mutant NPM1 is shown (Figure 2, top right panel). Subsequent biopsies from this patient (data not shown) revealed persistent mutant NPM1 staining predominantly in immature hematopoietic cells, as well as scattered megakaryocytes.

Taken together, these findings indicate that, compared to RT-PCR, mutant NPM1 IHC demonstrates sensitivity and specificity approaching 80%, and provides cytomorphologic insight into mutant NPM1-positive cell populations in biopsies, but that interpretation of IHC in samples with a low burden of disease can be challenging and thus requires correlation with molecular studies (e.g., RT-PCR).

Flow Cytometry

In comparison to RT-PCR, FC showed a sensitivity of 37% (17/46) (including borderline FC positive samples) (Table 2). The RT-PCR positive cases which were negative by FC had a variable disease burden as evidenced by the %NCN RT-PCR values of ≤ 0.5% NCN in 18 of 29 cases, 0.5%-5% NCN in 4 samples, 5%-15% NCN in 3 samples and >15% NCN in 4 samples (Supplementary Table 1, Figure 1). In 7 of the 11 samples with disease burden >0.5% NCN by RT-PCR which were negative by FC, the samples available for FC were limited due to hypocellularity (mean +/- SD = 260,000 +/- 58,000 cells). Given the negative FC findings in the RT-PCR positive samples, the negative predictive value of the FC was 47% compared to the RT-PCR assay. In terms of other performance variables, the specificity of the FC was 90% (26/29) compared to RT-PCR (Table 2) when considering cases which had a known history of mutant NPM1. As shown in Table 2 and Supplementary Table 1, only 3 samples with a history of mutant NPM1 were positive by FC and negative by RT-PCR (samples # 36, 43 and 55); these samples were also negative by NGS and IHC, and, not surprisingly showed only borderline FC results (0.3%-0.7% abnormal cells by FC). These 3 cases resulted in the overall FC positive predictive value being 85%. The atypical flow cytometric findings in these 3 cases likely represented immunophenotypic variability resulting from therapy and/or presence of clonal (non-leukemic) populations; indeed, as mentioned above, NGS in each of these 3 cases was negative for NPM1 mutation but, interestingly, 2 of these 3 samples did show variants associated with clonal hematopoiesis (i.e., DNMT3A and/or TET2). FC did not detect residual disease in any cases which was not identified by RT-PCR, NGS or IHC. Taken together, the FC findings indicated that FC is less sensitive than RT-PCR, and phenotypic variations post-therapy related to clonal hematopoiesis may confound assessment for residual disease by FC. Thus, in the setting of monitoring for residual disease in NPM1-mutant AML, FC appears to provide no additional benefit beyond RT-PCR, NGS and IHC.

In addition to the above findings regarding RT-PCR, NGS, IHC and FC results, a similar pattern of findings was observed when comparing the available RT-PCR, NGS, IHC and FC results for samples restricted to the same specimen type and the same collection date (i.e., PB samples with RT-PCR and NGS from same date, or BM samples with RT-PCR, NGS, IHC and/or FC from same date) (See (Supplementary Tables 1 and 2).

Clinical Application

Lastly, to provide a specific example of the sensitivity of RT-PCR and its suitability for quantitative, serial monitoring on PB specimens, a time course of RT-PCR data from a patient is shown (Figure 3). The patient presented as a 58-year-old woman with an incidental finding of circulating blasts in PB. She had a history of prior gynecological tumor treated with surgical resection (no chemotherapy and no radiation therapy). Work-up lead to a diagnosis of AML with normal karyotype; molecular studies (Myeloid NGS) revealed variants in NPM1 (Type A mutation, p.Trp299Cysfs*12, 40% VAF), NRAS (p.Gly13Asp, 42% VAF) and IDH2 (p.Arg140Gln, 45% VAF). The patient was treated with induction and consolidation chemotherapy (4 cycles) and achieved complete remission. RT-PCR testing of PB for mutant NPM1 was negative through 10 months post diagnosis, except for one borderline finding at 5 months post diagnosis (before starting final cycle of consolidation therapy), which was followed by several negative RT-PCR PB samples (as well as a BM biopsy (sample 17) at 7 months post diagnosis which was negative by RT-PCR, NGS and FC). 13 months post diagnosis, a PB sample (Sample 33) showed a low level of mutant NPM1 transcripts by RT-PCR (0.05% NCN) and a BM biopsy was performed and was negative by NGS and FC assessment; mutant NPM1 staining revealed rare, single, scattered positive cells consistent with a borderline positive IHC result (Figure 2, bottom left panel)(i.e., very rare mutant NPM1 positive cells seen). Close interval monitoring of PB by RT-PCR was initiated and confirmed the presence and increase in mutant NPM1 transcripts over the following 4 weeks. Azacitidine was started, and although the RT-PCR-detected mutant NPM1 transcripts in PB continued to rise 2 weeks after starting the azacitidine, the mutant transcript level began decreasing by day 29 after initiation. Azacitidine therapy was continued and venetoclax therapy was added. By RT-PCR, mutant NPM1 transcript levels in the PB continued to decrease and have remained undetectable during continued azacytidine/venetoclax therapy. Taken together, this patient’s time course illustrates the potential significance of very low level (i.e., 0.05%-0.5% NCN) of mutant NPM1 transcripts detected in PB by RT-PCR in some cases, and highlights the utility of serial, quantitative RT-PCR testing of the PB for mutant NPM1 during patient management. Recent findings by other authors have also demonstrated the utility of quantitative RT-PCR and IHC in clinical management (29).

FIGURE 3

Figure 3 Time Course of Serial, Quantitative RT-PCR of Peripheral Blood. NPM1 (Type A) mutant transcript monitoring by RT-PCR (%NCN) from peripheral blood is shown over time for a patient. Red arrows indicate detection and confirmation of unexpected increase in NPM1 mutant transcripts. Blue line indicates initiation and duration of azacitidine/venetoclax therapy. Shortly after the initiation of azacitidine therapy, the NPM1 mutant transcripts continued to rise, but then decreased during further into azacitidine treatment and remained undetectable with continuation of azacitidine/venetoclax therapy.

Discussion

The detection and monitoring of mutant NPM1 in AML is becoming increasingly implemented in the clinical setting. Thus, clinical practitioners in oncology and pathology need to be familiar with the various issues related to the application and interpretation of the assays used to detect mutant NPM1 in clinical practice. Several methods are available to detect mutant NPM1 including: RT-PCR for mutant NPM1 transcripts (15, 21, 22), NGS for NPM1 mutation (16, 23) and IHC for mutant NPM1 protein (17, 25). Having implemented RT-PCR for Type A mutant NPM1 transcripts, IHC for mutant NPM1 protein and a myeloid NGS panel at our academic center, we set out to: i) assess the relative performance of these assays and, ii) provide information regarding the advantages and disadvantages of each approach.

We have found that RT-PCR for Type A mutant NPM1 transcripts showed superior sensitivity compared to NGS, IHC and FC. Nevertheless, the positive predictive value of NGS, IHC and FC were each > 80% indicating that positive results by those assays are typically associated with RT-PCR positivity. The NGS and FC were limited in their ability to detect a low disease burden (i.e., <0.5% NCN by RT-PCR). For NGS, although manual review of the relevant NPM1 sequencing reads permitted the detection of 0.1%-1% VAF in this study, the myeloid NGS assay used herein does not incorporate molecular barcoding and is not a so-called “deep-sequencing” NGS panel. The superior analytical sensitivity of RT-PCR may also be derived from the fact that NPM1 transcripts are known to be expressed at high levels (30, 31), and that skewed expression of NPM1 transcripts from the mutant allele (32), lead to a technical advantage of approaches using RNA-based input. Other studies of mutant NPM1 have also suggested that RNA-based input provides greater sensitivity than genomic DNA input (22). For FC, analytical sensitivity was impaired when the total number of cells available for analysis was limited due to sample hypocellularity. Also, for FC, the lack of an aberrant immunophenotype of the blasts in some cases can render their identification difficult by FC (21). IHC (79%) was more sensitive than NGS (31%) and FC (37%), however, samples which were negative by IHC showed a low burden of disease by RT-PCR (i.e., < 0.5% NCN). A technical limitation of IHC is that samples with low %NCN by RT-PCR often show rare, if any, scattered mutant NPM1 positive cells. Thus, a challenge with IHC can be differentiating background staining from rare, scattered mutant NPM1-positive cells. Indeed, similar findings have been recently reported by Falini et al. (29) who described rare NPM1 cytoplasmic positive cells (likely post-mitotic cells) even in occasional normal bone marrow samples. Nevertheless, in occasional cases with low burden of disease by RT-PCR (<0.5% NCN), it is possible to identify mutant NPM1 staining in rare single hematopoietic cells. Overall, IHC for mutant NPM1 alone is not suitable as a stand-alone assay for assessment of residual disease, but, in combination with RT-PCR, IHC can help visualize the tumor cell burden and provide information regarding neoplastic cell distribution and cell type; along these lines, mutant NPM1 staining was noted in occasional megakaryocytes, which has been previously described, indicating multilineage involvement of mutant NPM1 (25).

With regards to the advantages and disadvantages of each approach:

RT-PCR, in addition to its superior sensitivity, has the advantages that it is quantitative and can be performed on PB, without BM biopsy, providing non-invasive serial testing during follow up to monitor disease dynamics. However, a disadvantage of RT-PCR for NPM1 is that mutation-specific assays are required, and up to 20% of NPM1 mutations in AML can be non-Type A mutations (i.e., so called Type B, Type D mutations, etc.). Recently a multiplex digital droplet RT-PCR assay has been reported which permits the detection of several types of NPM1 mutations (e.g., Type A, B, D, etc) in one reaction (33); although the specific type of NPM1 variant present is not identifiable with that assay and confirmation of reliable performance in the clinical setting is needed. A disadvantage of all RT-PCR approaches is that the input RNA may be degraded if not handled properly during collection, transport and processing.

NGS has the advantages that it uses genomic DNA (i.e., a stable substrate), it is quantitative and can detect various NPM1 mutation types as well as co-mutated genes (e.g., DNMT3A, FLT3, etc). However, myeloid NGS approaches in routine clinical practice often have limited analytical sensitivity, with limits of detection in the 1-5% VAF range. RT-PCR may show 1-2 orders of magnitude greater signal than NGS assays with genomic DNA input [see Supplementary Table 1 and (22)]. More recent so-called “deep sequencing” NGS approaches (23, 24, 34) demonstrate limits of detection of approximately 0.001%-0.01% VAF. However, they typically interrogate a limited panel of genes, require higher DNA input, use increased replicates, and incur greater cost to acquire and to analyze the deeper sequencing (i.e., 200,000-450,000 reads); therefore, these “deep-sequencing” NGS approaches will likely take more time before they are widely implemented for clinical testing.

FC has the potential advantages of quantitation and cell-sorting, but its main disadvantage is the challenge of phenotypic variability in AML due to disease heterogeneity (21), therapy-induced changes in protein expression, and phenotypic aberrations associated with background clonal hematopoiesis, which can confound the identification of residual disease, as we, and others (35) have observed. Thus, in the setting of post-therapy follow up for NPM1-mutated disease, priority can be given to RT-PCR, NGS and IHC testing.

IHC has unique advantages including its capacity to visualize tumor cell burden in situ, and to detect architectural and cytologic features that are not apparent by bulk methods (i.e., RT-PCR, NGS, FC). In addition, IHC is inexpensive and rapid compared to the other techniques. IHC may be helpful in cases where fibrosis, a “packed-marrow” with high disease burden, or other technical factors compromise the BM aspirate material for RT-PCR, NGS and FC. However, the disadvantages of IHC include the need for a BM biopsy, its qualitative nature, and the potential difficulty to discern rare mutant NPM1-positive cells from background staining [a similar challenge has been recently reported by other authors (29)]. An additional caveat is that mutant NPM1 IHC may rarely detect cytoplasmic NPM1 in AML cases with a negative molecular assay; this may occur if the mutation involving NPM1 is not covered by a “type-specific” RT-PCR assay or occurs in an exon not covered by NGS (36). Taken together, the advantages and disadvantages mentioned above for each assay highlight how the various methods provide complementary information during the analysis of patient samples.

Our findings have prompted us to consider further optimizing our testing algorithms. Currently, we perform Myeloid NGS (along with ancillary FLT3, IDH1/2 molecular testing) and FC on BM biopsies at the time of initial diagnosis of AML. We are not routinely performing RT-PCR for NPM1 mutation status at initial diagnosis. However, given the evolving role to monitor mutant NPM1 levels to check response to initial chemotherapy (19), and given the usual 2 week turn-around time of NGS reporting, IHC staining at initial AML diagnosis could aid in the rapid identification of NPM1-mutated AML cases needing baseline RT-PCR. In the follow up setting for NPM1-mutated AML, currently we receive PB samples for mutant NPM1 RT-PCR monitoring. When a BM biopsy is collected, the BM is tested by NGS (for mutation status of NPM1 and co-mutations in other genes), RT-PCR, mutant-NPM1 IHC and FC. Given the FC findings herein, we have considered eliminating FC assessment in follow up BM samples of known NPM1-mutated AML, if there is no other clear indication to perform FC. An additional point for further study in the setting of follow-up testing includes performance of RT-PCR on PB and/or BM samples; we (see Supplementary Figure 2) and others (9) have found BM samples appear to provide the potential for greater sensitivity for RT-PCR than PB.

In sum, our findings indicate that each method (RT-PCR, NGS, IHC and FC) provides complementary information and thus, while cognizant of the strengths and limitations of each assay, a multimodal assessment of mutant NPM1 can improve our understanding of mutant NPM1 status in patient samples.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.

Ethics Statement

The studies involving human participants were reviewed and approved by Weill Cornell Medicine, Internal Review Board. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements. Written informed consent was not obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.

Author Contributions

AL and MK contributed to the conception and design of the study, organized the database, performed the statistical analysis, created the figures and tables and wrote the first draft of the manuscript. SP, JG, AC, PS, GI, MG, AG-A, SL, ER, GR and WT reviewed the manuscript and provided input for edits of the initial draft. All authors contributed to the article and approved the submitted version.

Funding

This work was performed with support from the Department of Pathology and Laboratory Medicine, Weill Cornell Medicine.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2021.701318/full#supplementary-material

Supplementary Figure 1 | Specimen Information. (A) Overview of specimen types available for each assay. (B) For each sample number, the details of specimen types available for each assay are shown.

Supplementary Figure 2 | Mutant (Type A) NPM1 RT-PCR (Peripheral Blood vs. Bone Marrow). Comparison of RT-PCR %NCN values obtained with paired peripheral blood and bone marrow samples collected on the same day. Overall, bone marrow specimens were noted to show similar or higher %NCN values compared to peripheral blood. Specific sample numbers are shown. %NCN = (NPM1 Type A mutant transcript copy number/ABL copy number) x 100.

Supplementary Table 1 | RT-PCR (%NCN), NGS (%VAF), IHC (% mutant NPM1 positive cells) and FC (% abnormal cells) are shown (when available) for each sample.

Supplementary Table 3 | IHC for Mutant-NPM1 was performed in Diagnostic AML cases and the IHC results were compared to the results of NGS. Mutant-NPM1 IHC showed 100% concordance with NGS studies for NPM1 mutation status. IHC detected pathogenic mutations in NPM1 including Type A, Type B and pathogenic Non-Type A/Non-Type B/Non-Type D frameshift variants occurring at the known mutational hotspot region. RNA for RT-PCR was not available for these Diagnostic AML samples.

References

1. Grisendi S, Mecucci C, Falini B, Pandolfi PP. Nucleophosmin and Cancer. Nat Rev Cancer (2006) 6:493–505. doi: 10.1038/nrc1885

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Swerdlow SH, Campo E, Harris NL, Jaffe ES, Pileri SA, Stein H, et al eds. WHO Classification of Tumours of Haematopoietic and Lymphoid Tissues. Revised 4th Edition. Lyon: International Agency for Research on Cancer (2017). p. 585.

Google Scholar

3. Falini B, Mecucci C, Tiacci E, Alcalay M, Rosati R, Pasqualucci L, et al. Cytoplasmic Nucleophosmin in Acute Myelogenous Leukemia With a Normal Karyotype. N. Engl J Med (2005) 352:254–66. doi: 10.1056/NEJMoa041974

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Falini B, Bolli N, Shan J, Martelli MP, Liso A, Pucciarini A, et al. Both Carboxy-Terminus NES Motif and Mutated Tryptophan(s) Are Crucial for Aberrant Nuclear Export of Nucleophosmin Leukemic Mutants in NPMc+ AML. Blood (2006) 107:4514–23. doi: 10.1182/blood-2005-11-4745

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Suzuki T, Kiyoi H, Ozeki K, Tomita A, Yamaji S, Suzuki R, et al. Clinical Characteristics and Prognostic Implications of NPM1 Mutations in Acute Myeloid Leukemia. Blood (2005) 106:2854–61. doi: 10.1182/blood-2005-04-1733

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Dohner K, Schlenk RF, Habdank M, Scholl C, Rucker FG, Corbacioglu A, et al. Mutant Nucleophosmin (NPM1) Predicts Favorable Prognosis in Younger Adults With Acute Myeloid Leukemia and Normal Cytogenetics: Interaction With Other Gene Mutations. Blood (2005) 106:3740–6. doi: 10.1182/blood-2005-05-2164

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Schnittger S, Schoch C, Kern W, Mecucci C, Tschulik C, Martelli MF, et al. Nucleophosmin Gene Mutations Are Predictors of Favorable Prognosis in Acute Myelogenous Leukemia With a Normal Karyotype. Blood (2005) 106:3733–9. doi: 10.1182/blood-2005-06-2248

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Loghavi S, Zuo Z, Ravandi F, Kantarjian HM, Bueso-Ramos C, Zhang L, et al. Clinical Features of De Novo Acute Myeloid Leukemia With Concurrent DNMT3A, FLT3 and NPM1 Mutations. J Hematol Oncol (2014) 7:74. doi: 10.1186/s13045-014-0074-4

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Ivey A, Hills RK, Simpson MA, Jovanovic JV, Gilkes A, Grech A, et al. Assessment of Minimal Residual Disease in Standard-Risk AML. N. Engl J Med (2016) 374:422–33. doi: 10.1056/NEJMoa1507471

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Dillon R, Hills R, Freeman S, Potter N, Jovanovic J, Ivey A, et al. Molecular MRD Status and Outcome After Transplantation in NPM1-Mutated AML. Blood (2020) 135:680–8. doi: 10.1182/blood.2019002959

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Lachowiez CA, Loghavi S, Kadia TM, Daver N, Borthakur G, Pemmaraju N, et al. Outcomes of Older Patients With NPM1-Mutated AML: Current Treatments and the Promise of Venetoclax-Based Regimens. Blood Adv (2020) 4:1311–20. doi: 10.1182/bloodadvances.2019001267

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Wei AH, Montesinos P, Ivanov V, DiNardo CD, Novak J, Laribi K, et al. Venetoclax Plus LDAC for Newly Diagnosed AML Ineligible for Intensive Chemotherapy: A Phase 3 Randomized Placebo-Controlled Trial. Blood (2020) 135:2137–45. doi: 10.1182/blood.2020004856

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Tiong IS, Dillon R, Ivey A, Teh TC, Nguyen P, Cummings N, et al. Venetoclax Induces Rapid Elimination of NPM1 Mutant Measurable Residual Disease in Combination With Low-Intensity Chemotherapy in Acute Myeloid Leukaemia. Br J Haematol. (2021) 192:1026–30. doi: 10.1111/bjh.16722

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Cocciardi S, Dolnik A, Kapp-Schwoerer S, Rucker FG, Lux S, Blatte TJ, et al. Clonal Evolution Patterns in Acute Myeloid Leukemia With NPM1 Mutation. Nat Commun (2019) 10:2031. doi: 10.1038/s41467-019-09745-2

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Schnittger S, Kern W, Tschulik C, Weiss T, Dicker F, Falini B, et al. Minimal Residual Disease Levels Assessed by NPM1 Mutation-Specific RQ-PCR Provide Important Prognostic Information in AML. Blood (2009) 114:2220–31. doi: 10.1182/blood-2009-03-213389

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Patel SS, Kuo FC, Gibson CJ, Steensma DP, Soiffer RJ, Alyea EP. 3rd, Et alHigh NPM1-Mutant Allele Burden at Diagnosis Predicts Unfavorable Outcomes in De Novo AML. Blood (2018) 131:2816–25. doi: 10.1182/blood-2018-01-828467

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Patel SS, Pinkus GS, Ritterhouse LL, Segal JP, Dal Cin P, Restrepo T, et al. High NPM1 Mutant Allele Burden at Diagnosis Correlates With Minimal Residual Disease at First Remission in De Novo Acute Myeloid Leukemia. Am J Hematol (2019) 94:921–8. doi: 10.1002/ajh.25544

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Linch DC, Hills RK, Burnett AK, Russell N, Gale RE. Analysis of the Clinical Impact of NPM1 Mutant Allele Burden in a Large Cohort of Younger Adult Patients With Acute Myeloid Leukaemia. Br J Haematol. (2020) 188:852–9. doi: 10.1111/bjh.16239

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Tiong IS, Dillon R, Ivey A, Kok CH, Kuzich JA, Thiagarajah N, et al. The Natural History of NPM1MUT Measurable Residual Disease (MRD) Positivity After Completion of Chemotherapy in Acute Myeloid Leukemia (AML). Blood (2020) 136(Supplement 1):25–7. doi: 10.1182/blood-2020-140296

CrossRef Full Text | Google Scholar

20. Forghieri F, Comoli P, Marasca R, Potenza L, Luppi M. Minimal/Measurable Residual Disease Monitoring in NPM1-Mutated Acute Myeloid Leukemia: A Clinical Viewpoint and Perspectives. Int J Mol Sci (2018) 19:3492. doi: 10.3390/ijms19113492

CrossRef Full Text | Google Scholar

21. Schuurhuis GJ, Heuser M, Freeman S, Bene MC, Buccisano F, Cloos J, et al. Minimal/measurable Residual Disease in AML: A Consensus Document From the European LeukemiaNet MRD Working Party. Blood (2018) 131:1275–91. doi: 10.1182/blood-2017-09-801498

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Gorello P, Cazzaniga G, Alberti F, Dell'Oro MG, Gottardi E, Specchia G, et al. Quantitative Assessment of Minimal Residual Disease in Acute Myeloid Leukemia Carrying Nucleophosmin (NPM1) Gene Mutations. Leukemia (2006) 20:1103–8. doi: 10.1038/sj.leu.2404149

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Blombery P, Jones K, Doig K, Ryland G, McBean M, Thompson E, et al. Sensitive NPM1 Mutation Quantitation in Acute Myeloid Leukemia Using Ultradeep Next-Generation Sequencing in the Diagnostic Laboratory. Arch Pathol Lab Med (2018) 142:606–12. doi: 10.5858/arpa.2017-0229-OA

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Ritterhouse LL, Parilla M, Zhen CJ, Wurst MN, Puranik R, Henderson CM, et al. Clinical Validation and Implementation of a Measurable Residual Disease Assay for NPM1 in Acute Myeloid Leukemia by Error-Corrected Next-Generation Sequencing. Mol Diagn Ther (2019) 23:791–802. doi: 10.1007/s40291-019-00436-8

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Pasqualucci L, Liso A, Martelli MP, Bolli N, Pacini R, Tabarrini A, et al. Mutated Nucleophosmin Detects Clonal Multilineage Involvement in Acute Myeloid Leukemia: Impact on WHO Classification. Blood (2006) 108:4146–55. doi: 10.1182/blood-2006-06-026716

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Patel SS, Lipschitz M, Pinkus GS, Weirather JL, Pozdnyakova O, Mason EF, et al. Multiparametric in Situ Imaging of NPM1-Mutated Acute Myeloid Leukemia Reveals Prognostically-Relevant Features of the Marrow Microenvironment. Mod. Pathol (2020) 33:1380–8. doi: 10.1038/s41379-020-0498-z

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Racchumi J, Tam W, Kluk MJ. Clinical Laboratory Validation and Implementation of Quantitative, Real-Time PCR-Based Detection of NPM1 Type A Mutation. Clin Lab (2020) 66:2413–21. doi: 10.7754/Clin.Lab.2020.200104

CrossRef Full Text | Google Scholar

28. van Dongen JJ, Lhermitte L, Bottcher S, Almeida J, van der Velden VH, Flores-Montero J, et al. EuroFlow Antibody Panels for Standardized N-Dimensional Flow Cytometric Immunophenotyping of Normal, Reactive and Malignant Leukocytes. Leukemia (2012) 26:1908–75. doi: 10.1038/leu.2012.120

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Falini B, Brunetti L, Martelli MP. How I Diagnose and Treat NPM1-Mutated AML. Blood (2021) 137:589–99. doi: 10.1182/blood.2020008211

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Human Protein Atlas. Available at: https://www.proteinatlas.org/ENSG00000181163-NPM1/tissue.

Google Scholar

31. Uhlen M, Fagerberg L, Hallstrom BM, Lindskog C, Oksvold P, Mardinoglu A, et al. Proteomics. Tissue-Based Map of the Human Proteome. Science (2015) 347:394–403. doi: 10.1126/science.1260419

CrossRef Full Text | Google Scholar

32. Bailey GD, Doolan L, Baskar A, Smith LC, Seedhouse CH. Preferential Transcription of the Mutated Allele in NPM1 Mutated Acute Myeloid Leukaemia. Sci Rep (2020) 10:17695. doi: 10.1038/s41598-020-73782-x

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Mencia-Trinchant N, Hu Y, Alas MA, Ali F, Wouters BJ, Lee S, et al. Minimal Residual Disease Monitoring of Acute Myeloid Leukemia by Massively Multiplex Digital PCR in Patients With NPM1 Mutations. J Mol Diagn (2017) 19:537–48. doi: 10.1016/j.jmoldx.2017.03.005

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Delsing Malmberg E, Johansson Alm S, Nicklasson M, Lazarevic V, Stahlman S, Samuelsson T, et al. Minimal Residual Disease Assessed With Deep Sequencing of NPM1 Mutations Predicts Relapse After Allogeneic Stem Cell Transplant in AML. Leuk. Lymphoma (2019) 60:409–17. doi: 10.1080/10428194.2018.1485910

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Loghavi S, DiNardo CD, Furudate K, Takahashi K, Tanaka T, Short NJ, et al. Flow Cytometric Immunophenotypic Alterations of Persistent Clonal Haematopoiesis in Remission Bone Marrows of Patients With NPM1-Mutated Acute Myeloid Leukaemia. Br J Haematol. (2021) 192:1054–63. doi: 10.1111/bjh.17347

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Falini B, Brunetti L, Sportoletti P, Martelli MP. NPM1-Mutated Acute Myeloid Leukemia: From Bench to Bedside. Blood (2020) 136:1707–21. doi: 10.1182/blood.2019004226

PubMed Abstract | CrossRef Full Text | Google Scholar