Spontaneous apoptosis and BCL2 gene expression as predictors of early death and short overall survival in acute leukemia patients: a prospective, case cohort study

Abstract

Background

Spontaneous apoptosis and expression of MCL1, BCL2, and BCL-XL may be useful prognostic markers in acute leukemia patients. The purpose of this study is to examine the prognosis in adult leukemia patients based on spontaneous apoptosis and anti-apoptosis gene expressions in circulating leukocytes.

Results

Early, late, and total apoptosis were significantly increased in peripheral blood leukocytes from patients diagnosed with acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) compared to controls and in cases of ALL versus AML (P < 0.001). Total apoptosis decreased significantly in AML and ALL patients who died early (ED); P = 0.001 and P = 0.002, respectively. Anti-apoptosis genes MCL1, BCL2, and BCL-XL were upregulated in 62.4%, 64.2%, and 62.4% of the acute leukemia patients, respectively. Among the AML patients, the up-regulation of BCL2 was paradoxically associated with increased apoptosis and low rates of ED. The expression levels of MCL1 and BCL-XL had no significant prognostic values; among patients diagnosed with non-acute promyelocytic leukemia (non-APL-AML), total spontaneous apoptosis, expression of BCL2, and performance status were independent predictors of overall survival (OS).

Conclusion

Total spontaneous apoptosis and BCL2 gene expression may be valuable independent markers for OS in patients with non-APL-AML. Moreover, in ALL patients decreased levels of spontaneous apoptosis were associated with ED, although this was not a significant predictor of OS.

Background

Apoptosis is the process of programed cell death that plays an important role in controlling cellular differentiation and proliferation. Among these roles, leukemic cells with alterations in one or both of the apoptotic pathways can acquire a survival advantage over their normal counterparts and can develop resistance to chemotherapeutic drugs. Despite the advancements in leukemia therapy, the outcome remains problematic; therefore, markers that correlate with prognosis and the likelihood of relapse would be very helpful in the ongoing disease management [1].

Some recent studies have focused on the role of spontaneous and/or treatment-induced cellular apoptosis for risk stratification of acute leukemia patients. Chemotherapeutic agents mainly act by promoting the apoptosis of rapidly dividing cancer cells. Moreover, apoptosis may be evaluated as a direct measure of the intrinsic sensitivity of blast cells to chemotherapeutic treatment. Assays that detect cell surface Annexin V in combination with propidium iodide (PI) are typically sensitive, easy, and reproducible methods for quantitative evaluation of cellular apoptosis compared with other traditional methods. The flow cytometric evaluation of cell viability via the detection of Annexin V/PI has been effective and widely used [2].

The B-cell lymphoma 2 (BCL2) family of proteins is the key regulator of apoptosis. The expression of BCL2 may be involved in cancer pathophysiology and the development of resistance to chemotherapy. Expression patterns that feature three of the most prominent anti-apoptotic genes, including BCL2, myeloid-cell leukemia 1 (MCL1), and B-cell lymphoma-extra-large (BCL-XL), may be useful in the development of tools for identifying prognosis in patients diagnosed with acute leukemia. Moreover, their protein products may act as targets for chemotherapy [3].

Methods

Patients selection, diagnosis, and stratification

This prospective study was conducted from January 2019 to January 2020 at the Clinical Hematology Unit of the departments of Internal Medicine and Clinical Pathology, Faculty of Medicine. Overall, 98 consecutive Egyptian adults of both genders who were newly diagnosed with acute leukemia and had not yet undergone therapeutic treatment were included in this study. Patients who had initiated chemotherapy or who refused to sign the informed consent form were excluded from this study. Due to the intermediate rate of acute leukemia, all patients admitted to the hospital during the study period who were eligible for inclusion were enrolled in this study.

The patients were diagnosed and classified using the French-American-British morphological system along with the World Health Organization immunological classifications [4]. Cytogenetic analysis was performed through standard karyotyping and fluorescence in situ hybridization. The patients were stratified based on their performance status according to Eastern Cooperative Oncology Group (ECOG) [5] and cytogenetic analysis as per the standard cytogenetic risk groups. A peripheral blood sample was withdrawn from the patients at the time of diagnosis to be processed within 24 h.

Evaluation of spontaneous apoptosis

The samples were prepared for flow cytometry using BD FACS lysing solution, Annexin V binding buffer, Annexin V (Fluorescein isothiocyanate (FITC)), and PI (PE) (BD Biosciences, USA), in accordance with the manufacturer’s instructions. Cell acquisition and analysis were performed using FACS Calibur flow cytometer and CellQuest software (BD Biosciences. San Jose, USA). Instrument compensation and gating strategy were performed based on previous literatures [6, 7], respectively. Early apoptosis is defined as Annexin V-positive/PI-negative cells and late apoptosis as Annexin V-positive/PI-positive cells. The apoptotic indices are expressed as the percentage to the total number of cells in the gated region and total apoptosis was calculated by the summation of early and late apoptotic indices [8].

Expression of anti-apoptotic genes

The mononuclear cells were isolated from whole blood using standard Ficoll density gradient centrifugation methods. The total RNA was extracted from the mononuclear cells using the Trizol reagent and RNeasy mini kit (Qiagen, Germany). RNA concentration was determined using Qubit4 fluorometer and Qubit™ RNA HS Assay Kit (Thermo Fisher Scientific, Inc., USA), followed by the generation of complementary DNA using HisenScript^tm cDNA synthesis kit (iNtRON Biotechnology, South Korea). All the procedures performed were in accordance with the manufacturer’s guidelines. Real-time PCR was performed using the Mx3005P system (Agilent Technologies, USA). The reaction mixture (20 ul) contained the following: 2ul of cDNA, 6 μL of nuclease free water, 10 μL of SybrGreen Master Mix (TOPreal™ qPCR 2X PreMIX, Enzynomics, Korea), and 2 μL of gene-specific primers (final concentration = 50 nM for each). Primers sequence and the annealing temperature of BCL2: forward 5′-TCGCCCTGTGGATGACTGA-3′, reverse 5′-CAGAGACAGCCAGGAGAAATCA-3′, annealing temperature 56 °C [9], and those for MCL1: forward 5′-AGAAAGCTGCATCGAACCAT-3′, reverse 5′-CCAGCTCCTA CTCCAGCAAC-3′ and BCL-XL: forward 5′-CTGAATCGGAGATGGAGACC -3′, reverse 5′-TGGGATGTCAGGTCACTGAA -3′, annealing temperature 60 °C for both [10]. The reaction conditions were as follows: initial denaturation at 95 °C for 15 min, followed by 35 cycles of denaturation at 95 °C for 30 s, and annealing and extension for 60 s. All the procedures were performed in duplicate and the beta–actin was used as a housekeeping gene, and the results were expressed using the formula 2^−ΔΔCT [11]. The gene expression was categorized as upregulated or downregulated when normalized expression values were > or ≤ 1, respectively [12].

Therapy

All adult patients diagnosed with non-acute promyelocytic leukemia (APL)-acute myeloid leukemia (AML) were subjected to a 3 + 7 protocol to induce complete remission (CR) [13]. APL patients were administered with doxorubicin for the first three days and then in combination with all-trans-retinoic acid (ATRA) until remission. Patients diagnosed with acute lymphoblastic leukemia (ALL) underwent the hyper-CVAD regimen, alternating high-dose MTX with ARA-C [14].

Patient outcomes

Patients were followed for up to four weeks (time required for double-induction therapy) for the evaluation of remission status. Complete remission (CR) is defined by < 5% blast cells in the bone marrow and < 1% in the peripheral blood with a total leukocytes count (TLC) ≥ 1500/L and platelet count ≥ 100,000/L with no evidence of extramedullary leukemia. Early death (ED) was defined as death within 30 days of the date of diagnosis [15]. Patients were followed up for six months to identify events including relapse (defined as the presence of blasts in the peripheral blood, ≥ 5% blasts in the bone marrow, or presence of extramedullary lesions in patients with a previously documented CR) or death. These parameters were recorded for the duration of the study to identify periods of disease-free survival (DFS) and overall survival (OS), respectively.

Statistical analysis

The data analysis was performed using SPSS 20.0. Nonparametric numerical data were presented as medians and ranges, parametric data were presented as means ± standard deviations, and categorical data were presented as frequencies and percentages. Mann–Whitney U test and Kruskal–wallis test with Dunn-Bonferroni post hoc method were used to compare medians in between two or multiple groups, respectively. Correlations were performed using Spearman coefficients. The analysis of non-numeric data was performed using Pearson’s chi-square test or Fisher’s exact test. The correlations between the parameters and treatment outcomes were evaluated by performing univariate and multivariate regressions analyses using the logistic regression test. Kaplan–Meier analysis with log-rank test and Cox regression analysis were performed to evaluate the impact on survival. P values ≤ 0.05 were considered to be statistically significant.

Results

Patient characteristics

Ninety-eight newly diagnosed adult acute leukemia patients were enrolled in this study, 70 patients diagnosed with AML, and 28 with ALL. 61 of the patients were male (62.2%) and 37 were female (37.8%). 15 healthy participants were also included in this study; 8 of them were male (53.3%) and 7 female (46.7%). Additional file 1: Supplementary Table 1 summarizes the demographics, clinical manifestations of the disease, and patient outcomes.

Apoptotic indices and expression of anti-apoptotic genes

Highly significant differences were observed when comparing the apoptotic indices in both AML and ALL patients versus controls and ALL versus AML patients (all P < 0.001). However, no significant differences were observed regarding the expression of anti-apoptotic genes in comparison between acute leukemia patients and controls or between those diagnosed with AML versus ALL (Table 1 and Additional file 1: Supplementary Figure 1). Figure 1 shows the results of the flow cytometry of selected cases. Spearman correlation coefficients revealed that the expressions of the three anti-apoptotic genes were highly correlated with one other. The correlations were as follows: MCL1 with BCL2, r = 0.75; MCL1 with BCL-XL, r = 0.71; and BCL2 with BCL-XL, r = 0.62 (P < 0.001 for each comparison).

Table 1 Spontaneous apoptosis indices, MCL1, BCL2, BCL-XL gene expression in cases and controls

Fig. 1

Flow cytometry assessment of apoptotic cells. A Control, B acute myeloid leukemia, C acute lymphoblastic leukemia). Annexin V FITC (AnxV FITC) and propidium iodide PE (PI PE) fluorescence. Regions: R4 normal cells, R2 late apoptotic (AnxV + /PI +), R3 early apoptotic (AnxV + /PI-)

AML

Cytogenetic risk classification

With respect to cytogenetics, 12 patients were classified as a favorable risk; 6 patients had t(8:21), 3 had t(15:17) translocations, and 3 had inversion 16. 37 patients with normal cytogenetics were classified as intermediate risk, whereas 21 were classified as poor risk. Likewise, 7 patients had trisomy 8, 5 had trisomy 11, 5 had t(3:3), and 4 had t(9:22).

Spontaneous apoptotic indices

Late and total apoptosis were both markedly decreased in patients who succumbed to ED (P = 0.006 and P = 0.001, respectively) (Table 2). Indices of spontaneous apoptosis did not correlate with any of the other prognostic parameters (data not presented) and showed no significant differences when comparing the results from the APL and non-APL-AML patients (Table 2).

Table 2 Early, late and total apoptosis in AML and ALL patients

Expression of anti-apoptotic genes

Among the 70 patients diagnosed with AML, the expression of MCL1, BCL2, and BCL-XL was upregulated in 46 (65.7%), 50 (71.4%), and 46 (65.7%) patients, respectively. The gene expression levels did not vary significantly in APL versus non-APL-AML patients. Furthermore, no significant correlations were observed between gene expression and other prognostic parameters. However, early, late, and total apoptosis were significantly increased in patients with upregulated expression of BCL2 (P = 0.03, 0.003, and 0.001, respectively). The downregulated expression of BCL2 was more common in patients with ED (P = 0.02; Table 3).

Table 3 MCL1, BCL2, BCL-XL gene expression in AML cases (n = 70)

Prognosis in AML patients

Due to the fact that they are different disease entities, OS was evaluated independently in patients diagnosed with APL and those with non-APL-AML. The median values of total apoptosis in each group were used to dichotomize patients into those with high levels of cellular apoptosis and those with low levels [16]. In this study, Kaplan–Meier analysis was performed for all prognostic markers. Interestingly, none of them were significant markers in APL patients (data not shown). In non-APL-AML patients, spontaneous total apoptosis and performance status (PS) were significant predictors of the OS, whereas overexpression of BCL2 was associated with longer OS. Cox regression analysis revealed that spontaneous total apoptosis, BCL2 expression, and ECOG-PS are independent predictors of OS for patients diagnosed with non-APL-AML. Table 4 shows the hazard ratios and P values. Figure 2 shows the Kaplan–Meier survival curves. None of the parameters evaluated in this study correlated with remission status or the likelihood of relapse (data not shown). Additional file 1: Supplementary Figure 2 presents the real-time PCR curves of BCL2 gene expression of selected cases.

Table 4 Univariate and multivariate analyses of prognostic factors for overall survival in non-APL patients

Fig. 2

Kaplan–Meier survival curves and log-rank test. A Performance status. B Total apoptosis. C BCL2 gene expression, in non-acute promyelocytic leukemia—AML patients. Eastern Cooperative Oncology Performance Status (ECOG-PS)

ALL

Cytogenetic risk classification

Cytogenetic analysis revealed that 25 patients were classified as a favorable risk; 18 of these patients had a normal karyotype and 7 patients had t (12; 21). 3 patients were classified as a poor risk; 2 of these patients had t (9; 22) and one had t (4;11).

Spontaneous apoptotic indices

Early apoptosis increased, whereas late apoptosis decreased in cases with T-cell ALL when compared with those diagnosed with B-cell ALL (P = 0.001 for each). Early and total apoptosis decreased in patients with poor PS as determined by the ECOG (P = 0.001) and also in patients who succumbed to ED (P = 0.001 and 0.002, respectively; Table 2).

Expression of anti-apoptotic genes

Anti-apoptotic genes were upregulated in 60.7% of the patients. No correlations were observed between the expression levels of any of the three anti-apoptotic genes and other prognostic markers or outcomes (data not presented).

Prognosis in ALL patients

Kaplan–Meier analysis of all variants revealed that PS was the only useful indicator of the OS (hazard ratio = 6.6, 95% CI (1.1–38.0), P = 0.03, data not shown). Most ALL patients responded to therapy and did not undergo relapse after remission; patients with non-remission or who relapsed after CR were too few in number to be analyzed.

Discussion

The imbalance between apoptosis and cell proliferation is the hallmark feature of acute leukemia. To our knowledge, this is the first prospective study that focuses on the expression of MCL1, BCL2, and BCL-XL and spontaneous apoptosis in adult leukemia patients in Egypt. Only few previous studies have considered these three anti-apoptosis genes in adult AML. Furthermore, no previously published literature that features similar parameters in a study of adult ALL was included in the present study.

In this study, ED was observed in 28.5% of the patients diagnosed with AML and 17.8% of those with ALL. Previous studies that focused on this point had various conclusions. For example, El-Zawahry et al. [17] reported a 39% death rate in adult AML patients, whereas Zawarm et al. [18] reported 12.5%. Similarly, Thomas et al. [19] identified ED in 24.6% of adult patients with ALL, whereas da Silva et al. [20] identified ED in 16.9%.

The ECOG-PS is a well-known predictor for the OS among patients with both AML and ALL, which was confirmed in the present study. Malkan et al. [21] reported that the ECOG-PS score at diagnosis was the main independent factor influencing ED; this group indicated the need to identify parameters associated with performance status that may have a direct influence on ED.

Spontaneous apoptotic indices

Early, late, and total apoptosis were significantly increased in acute leukemia patients compared to healthy controls. These findings are in accordance with the results of Lin et al. [22] who demonstrated that spontaneous apoptosis is increased in AML and ALL bone marrow cells compared to healthy control bone marrow cells, and Banker et al. [23] who observed that normal bone marrow myeloid cells have consistent low levels of spontaneous apoptosis than de novo AML cells.

The up-regulation of anti-apoptotic machinery in acute leukemia is associated with a compensatory enhancement in the pro-apoptotics, such as B-cell lymphoma protein 2 (Bcl-2)-associated X (BAX) gene transcripts and protein elevation in AML [12, 24], Fas (Apo-1/CD95) in AML and ALL [25], Caspases 2 and 3 in AML and ALL patients, respectively [26, 27]. This can explain the increased overall apoptosis in leukemia cells when compared to the normal bone marrow or peripheral blood cells. On the other hand, levels of spontaneous apoptosis in leukemic CD34 + cells were lower in ALL and significantly lower in AML than normal bone marrow progenitor (CD34 +) cells [22], reflecting the survival advantages gained by leukemia cells over their normal counterparts.

Furthermore, cells from ALL patients were more prone to apoptosis than those from AML patients. These findings are consistent with the results of Savitskiy et al. [28] who evaluated the spontaneous apoptosis in cultured leukemic cells. Porwit-MacDonald et al. [29] observed that the expression of BCL2 protein in myeloblast is higher than that in lymphoblast, and this can explain accelerated apoptosis in ALL more than AML. In a comparison between the two lineages, Smith et al. [30] found that AML cell lines displayed the least apoptosis and the more resistance to anti-leukemia drugs, while ALL cell lines were higher in apoptosis and more sensitive to the therapeutic agents, and they concluded that the amount of spontaneous apoptosis in acute leukemia cells paralleled their drug sensitivity either in vitro or in vivo.

In AML patients

In this study, we identified total apoptosis as a useful independent predictor for OS for patients diagnosed with non-APL-AML. At this time, very few studies have focused on apoptosis as a prognostic marker in patients with AML. Smith et al. [30] and Pluta et al. [31] reported the role of apoptosis in predicting treatment outcomes. By contrast, Deren-Wagemann et al. [32] found that spontaneous apoptosis had no prognostic value in AML patients.

In ALL patients

Similar to the findings of the present study, Savitskiy et al. [28] reported lower rates of early apoptosis and higher rates of late apoptosis in patients diagnosed with B-cell ALL compared to those with T-cell ALL, although total apoptosis was not significantly different. Although spontaneous apoptosis was significantly lower in patients who underwent ED, this parameter was not a significant predictor of OS. Singh et al. [16] found that apoptosis was not a useful prognostic marker in children diagnosed with ALL. However, Kapoor and Singh [33] noted that ongoing studies have revealed promising results with respect to the future utilization of apoptotic markers for predicting clinical outcomes.

Expression of anti-apoptotic genes

Although medians and ranges documenting the expression of MCL1, BCL2, and BCL-XL were overall higher in patients with acute leukemia compared to controls, these differences failed to reach any statistical significance. This may be attributed to the relatively small sample size represented by our cohort. Li et al. [1] and Zhou et al. [34] found that the gene expressions of MCL1 and BCL2 were upregulated in AML patients, respectively. In another study, Schaich et al. [35] found that BCL2 and BCL-XL were upregulated in 13% and 39% of AML patients, respectively. Hogarth and Hall [36] reported the overexpression of MCL1 and BCL2 proteins in all samples from 47 children with ALL, although BCL-XL was overexpressed in only 6 of these patients.

In AML patients

In this study, expression levels of MCL1 and BCL-XL failed to predict poor outcomes associated with AML. In contrast, Li et al. [1] reported that MCL1 is a strong independent predictor of remission and OS in non-APL-AML patients. Interestingly, this was the only previous study that has considered the expression of MCL1 as having prognostic value in adult AML. However, future studies will be needed to confirm or refute our findings. Our results agree with those of Schaich et al. [35] who reported that BCL-XL gene expression had no significant impact on OS and DFS. Furthermore, our results do not support their findings on BCL-XL gene expression being a significant negative indicator of response to therapy.

In this study, univariate and multivariate analyses revealed that BCL2 was an independent predictor for OS in non-APL-AML patients. Although it is a major suppressor of apoptosis and expected to be associated with poor outcome, the expression of BCL2 resulted in paradoxically higher levels of both late and total apoptosis and longer OS than was observed among patients with BCL2 down-regulation. Kulsoom et al. [12] noted that the role of BCL2 in predicting outcomes is a controversial subject. As for example, in AML patients, Campos et al. [37], Maung et al. [38], Lauria et al. [39] reported that high BCL2 levels was associated with poor response to therapy, Aref et al. [40] reported that increased BCL2 expression was associated with relapse, while according to Karakas et al. [41], the OS and DFS were significantly worse in patients with high levels of bcl-2 mRNA. Kornblau et al. [42] reported that high BCL2 expression was associated with a shorter OS in the favorable and intermediate cytogenetic groups, while with a longer OS and DFS in the poor cytogenetic group. Kulsoom et al. [12] found that BCL2 levels were higher among responders although it failed to reach statistical significance. Sahu and Kumar Jena [43] observed that BCL2-positive patients had better OS as compared to BCL2-negative patients and that low level of Bcl-2 was associated with lower CR rates, shorter DFS and OS. In contrast, other studies showed no significant correlation with CR rate, DFS, or OS [34, 44].

Kulsoom et al. [12] attributed these contrasts to the differences in sample size, methods of detection, and pathology of patients. Kornblau et al. [42] considered the possibility that factors other than the characterized anti-apoptotic proteins may have an influence on overall apoptosis, including chromosomal aberrations and/or the counteracting properties of pro-apoptotic proteins [34].

Increased BCL2 expression may disturb the balance of other BCL2 family members including the expression of pro-apoptotic proteins, such as B-cell lymphoma protein 2 (Bcl-2)-associated X (Bax), BCL2 Antagonist/Killer1 (Bak1), and BCL2 Associated Agonist of Cell Death (Bad) [45]. Bax has been suspected to be a good prognostic marker for being a pro-apoptotic protein, but similar to BCL2, results are controversy, so it is more reliable to study BCL2 and Bax as a ratio rather than studying them individually [46].

The prognostic impact of BCL2 expression in AML varies with cytogenetics [42], a post-transcription regulation of BCL2 activity may occur depending on these genetic factors; for instance, the tumor suppressor protein (p53) that can regulate Bcl-2 levels and activity through diverse mechanisms or induce transactivation of pro-apoptotic BCL2 family members [47], so the presence of wild or mutated types of p53 can impact the overall patients’ outcome [48, 49]. The role of BCL2 and its homologues in cell cycle regulation and reduction of proliferation can be another explanation for this finding [50].

Post-transcriptional regulation is an important effector on BCL2 protein levels and activity. For example, miR-15a and miR-16–1 that can inhibit Bcl2 expression, or the RNA-BP nucleolin that has been shown to increase Bcl2 expression by enhancing mRNA stability. [51]. Therefore, the gene expression level may not completely reflect the final protein level and the overall activity. So, studying the protein levels besides the gene expression levels can be more convenient.

In ALL patients

Expression of any of the three aforementioned genes had no significant role with respect to the prognosis of ALL; this finding is consistent with the results of Hogarth and Hall [36] who reported that none of these three proteins had any significant influence on the prognosis and event-free survival associated with ALL in children. In contrast, Abdelsalam et al. [52] reported that the overexpression of BCL2 and BCL-XL had a significant influence on the prognosis and event-free survival associated with ALL in children.

Conclusion

Spontaneous total apoptosis and BCL2 gene expression may be valuable independent markers for OS in patients with non-APL-AML. Furthermore, in ALL patients decreased levels of spontaneous apoptosis were associated with ED, although this was not a significant predictor of OS.

Limitations

This is a single-center study. The sample size was relatively small and the duration of follow-up was relatively short.

Recommendations

Multi-center studies including larger cohorts to consider the prognostic value of anti-apoptotic and pro-apoptotic gene expression as well as spontaneous or induced total leukocyte apoptosis are recommended. The expansion of the current study in the same center is also encouraged to support our findings. Further studies concerning the level of anti-apoptotic protein expression in correlation with prognosis is recommended.