Literature DB >> 25085377

The impact of TNF superfamily molecules on overall survival in acute myeloid leukaemia: correlation with biological and clinical features.

L Bolkun1, D Lemancewicz, E Jablonska, A Szumowska, U Bolkun-Skornicka, W Ratajczak-Wrona, J Dzieciol, J Kloczko.   

Abstract

B cell-activating factor (BAFF), a proliferation-inducing ligand (APRIL) and apoptosis-inducing ligand (TRAIL) were demonstrated in several haematological diseases including acute myeloid leukemia (AML). Those cytokines are capable of activating a broad spectrum of intracellular signalling cascades that can either induce apoptosis or protect from programmed cell death. We have analysed BAFF, APRIL and TRAIL serum concentrations in 76 patients with newly diagnosed AML and 40 healthy volunteers. The values were significantly higher for APRIL and BAFF but lower for TRAIL compared to healthy volunteers. Induction therapy significantly reduced the values for BAFF and increased them for TRAIL. Moreover, the concentration of BAFF and APRIL was significantly lower and the concentration of TRAIL higher in a group of patients with complete remission compared to non-respondent AML patients. In addition, higher concentrations of BAFF and lower of TRAIL predicted a shorter overall survival, suggesting thereby an important prognostic marker and possible therapeutic target in AML.

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Year:  2014        PMID: 25085377      PMCID: PMC4281378          DOI: 10.1007/s00277-014-2178-x

Source DB:  PubMed          Journal:  Ann Hematol        ISSN: 0939-5555            Impact factor:   3.673


Introduction

Acute myeloid leukaemia (AML) represents a group of clonal haematopoietic stem cell disorders in which both failure to differentiate and overproliferation in the stem cell compartment result in the accumulation of non-functional myeloid cells termed myeloblasts and loss of normal haematopoietic function. Considerable effort has been invested in identifying prognostic markers that might predict clinical outcomes in AML patients. There are currently several characteristics, such as advanced age, cytogenetic and performance status, that are commonly used as predictors of survival [1, 2]. Two decades ago, the existence of receptors activated by the tumour necrosis factor alpha (TNF-α) was demonstrated for several haematological diseases, including AML cells [3, 4]. Importantly, there are different effects of the TNF-α which can be observed in AML blasts. The cytokine TNF-α is capable of activating a broad spectrum of intracellular signalling cascades that can either induce apoptosis (e.g. activation of caspase-8) or protect various cell types from programmed cell death (e.g. nuclear factor-kappa B (NF-κB) pathway activation) [5]. NF-κB activation is predominantly responsible for the expression of anti-apoptotic genes. Nevertheless, some proapoptotic genes, including Fas ligand or TRAIL, TNF-κ and p53, are targeted by NF-κB too [6]. TNF-related apoptosis-inducing ligand (TRAIL) molecule, which belongs to the TNF family of proteins, participates in the elimination of neoplastic cells, including leukaemic cells, in 60 % of cases [7, 8]. TRAIL, also known as Apo-2L, can be biologically effective as an integral membrane protein (mTRAIL, 32 kDa), as well as a soluble cytokine (sTRAIL, 24 kDa) [8]. Several important functions of TRAIL-induced apoptosis have been reported. First, TRAIL-mediated cytotoxicity plays an important role in innate and adaptive immune responses [9]. Second, TRAIL exerts a regulatory function on erythroid and myeloid maturation in normal haematopoiesis [10-13]. Moreover, senescent neutrophils are eliminated by TRAIL-induced apoptosis upon their return to the bone marrow [14]. The anti-tumour activity of TRAIL has been investigated in haematological malignancies, including multiple myeloma cells and Philadelphia chromosome-positive leukaemia, in which TRAIL was shown to be able to induce apoptosis [15, 16]. A few studies, carried out on a limited number of cases, exhibited a very low sensitivity of AML blasts to the apoptotic effects of TRAIL [17]. By contrast, some continuous cell lines derived from AML were observed to have a pronounced sensitivity to the TRAIL-mediated apoptotic effects [18]. B cell-activating factor (BAFF) and a proliferation-inducing ligand (APRIL), both members of the TNF family, produce an effect opposite to that of TRAIL. They represent two of the main survival factors for immature, naive and activated B cells [19]. BAFF, APRIL and TRAIL molecules were also detected in monocytes/macrophages, dendrite cells and activated T lymphocytes [7, 20]. Another significant source of these molecules is neutrophils, which participate in the early stage of anti-cancer response [21]. BAFF and APRIL are also known to directly activate the NF-κB pathway [22, 23]. There is some evidence that this pathway activity is also observable in the CD34+ AML cells [22]. Consequently, the inhibitors of NF-κB have emerged as potential therapies against AML. Depending on the B cell maturation stage, BAFF was reported to induce the anti-apoptotic proteins Bcl-2, A1 and Bcl-xL and to reduce the proapoptotic protein Bak [24, 25]. The not yet fully understood role of BAFF, APRIL and their receptors in normal B cell homeostasis and in several tumour models raises the possibility of their involvement in the pathogenesis of haematological malignancies and solid tumours. Indeed, it has been demonstrated that APRIL mRNA and its protein, including its secreted form, are expressed in the leukaemic cells of patients with AML subtypes but not in normal haematopoietic progenitors. Retrovirus-mediated APRIL expression in normal haematopoietic progenitors confers resistance to the chemotherapeutic drug-induced apoptosis. Conversely, blocking APRIL function by recombinant soluble APRIL receptors increased the chemotherapeutic drug-induced cell death in AML cells [26]. The purposes of the present study were to evaluate serum levels of BAFF, APRIL and TRAIL in healthy volunteers and in AML patients with varying severity of the disease in order to determine whether there was any correlation between BAFF, APRIL and TRAIL at diagnosis and some prognostic biological parameters of AML patients and to explore their clinical significance in predicting the disease activity of AML.

Patients

Seventy-six patients with newly diagnosed acute non-promyelocytic leukaemia were included in the study. Their median age at the time of sample collection was 45.5, and the range was 18–62. Thirty-nine subjects were female and 37 male. Both patients with acute promyelocytic leukaemia, due to the specific biology and a different outcome, as well as AML patients who received corticosteroids at the beginning of the treatment course had been excluded from the study. Diagnoses were established following the WHO classification system [27]. Blood counts and flow cytometry were performed in order to confirm the presence of blastic cells, whereas cytogenetic and molecular studies, including the FISH study (AML1/ETO, CBFß/ MYH11, MLLT3-MLL and frequently mutated genes FLT3-ITD, NPM1, CEBPA), determine the risk group, according to WHO recommendation. On the basis of the above, patients were classified as follows: 13 (17 %) patients had good risk (10 patients with t(8;21), 2 with inv(16) and one with mutated core-binding factor leukaemia (CEBPA), 17 (22.5 %) subjects had first intermediate risk (diploid karyotype features with 4 both mutated nucleophosmin (NPM1) and internal tandem duplication of Fms-like tyrosine kinase 3 (FLT3-ITD) and 9 with FLT3-ITD without NMP1), 13 (17 %) patients had second intermediate risk (3 patients with t(9;11) and 10 with different abnormalities not assigned to either good or bad risk group) and 33 subjects (43.5 %) were classified as unfavourable risk group with del(5q), del(7q) or complex (≥3) abnormalities. AML patients were treated in the Haematology Department of the Medical University of Bialystok from 2007 to 2012 with 7-day induction chemotherapy regimens corresponding to the standard therapy based on the Polish Adult Leukaemia Group: Cytarabine was delivered as a continuous IV infusion for seven consecutive days at a dose of 200 mg/m2, while anthracycline for three consecutive days as an IV push at a dose of 50 mg/m2, cladribine was administered for 5 days as an IV push at a dose of 5 mg/m2 (DAC schedule) [28]. After induction, the morphology response was evaluated following the recommendation by Chason et al. [29]; 44 patients achieved complete remission (CR) after first induction and 27 were non-responders (NR). Among all patients included in the study, there were no patients with partial remission. Patients who did not achieve CR were given re-induction (CLAG-M or/and ICE). All patients who achieved CR after first/second/third induction received two consolidation therapies: first HAM (cytarabine and mitoxantrone) and second HDAraC (high dose of cytarabine), prior to allogeneic stem cell transplantation (50 patients) or maintenance therapy in the case of patients with favourable cytogenetic risk (9 patients). The mortality during first/second/third inductions and consolidations stood at 5/5/3/0 patients. The characteristic of the patients is listed in Table 1.
Table 1

Characteristics of patients with AML

CharacteristicAML
Number of patients76
Mean (range) age, year45.5 (18–62)
Mean (±SD) white blood cell count (G/l)32.01 ± 28.04
Mean (range) of the blastic cells in peripheral blood (range)49 (0–93)
Mean (range) of blastic cells in bone marrow (range)55 (20–98)
Acute myeloid leukaemia with recurrent genetic abnormalities n (%)
t(8;21) (q22;q22);(AML1/ETO)10 (13.1 %)
inv(16) (p13;q22) or t(16;16) (p13;q22); (CBFß/ MYH11)2 (2.6 %)
t(9;11); MLLT3-MLL3 (4.0 %)
AML with multilineage dysplasia without antecedent MDS1 (1.3 %)
AML therapy-related0 (0.0 %)
AML not otherwise categorized61
AML, minimally differentiated8 (10.5 %)
AML without maturation13 (17.1 %)
AML with maturation20 (26.3 %)
Acute myelomonocytic leukaemia (AMMoL)14 (18.4 %)
AMMoL with eosinophilia0 (0.0 %)
Acute monoblastic leukaemia2 (2.6 %)
Acute monocytic leukaemia2 (2.6 %)
Acute erythroid leukaemia1 (1.3 %)
Acute megakaryoblastic leukaemia0 (0.0 %)
Outcome of induction therapy, n
CR achieved after first induction44
CR achieved after second induction12
CR achieved after third induction3
Mortality during first/second/third induction/consolidation5/5/3/0
Post-consolidation treatment
AlloHSCT50
Maintenance9
FLT3-ITD/NMP1 mut /CEBPA mut 13/4/1
Favorable risk13 (17.0 %)
Intermediate risk I17 (22.5 %)
Intermediate risk II13 (17.0 %)
Unfavourable risk33 (43.5 %)

AML acute myeloid leukaemia, CR complete remission, AlloHSCT allogenic haematopoietic stem cell transplantation, NPM1 mutated nucleophosmin, CEBPA mutated core-binding factor leukaemia, FLT3-ITD internal tandem duplication of Fms-like tyrosine kinase 3

Characteristics of patients with AML AML acute myeloid leukaemia, CR complete remission, AlloHSCT allogenic haematopoietic stem cell transplantation, NPM1 mutated nucleophosmin, CEBPA mutated core-binding factor leukaemia, FLT3-ITD internal tandem duplication of Fms-like tyrosine kinase 3 The control group was population-based and comprised forty age-matched healthy volunteers (20 males, 20 females). Samples were collected from the subjects that provided they had not had fever for 1 week, were not receiving any medications, were not be pregnant and did not have a history of any chronic diseases. All patient samples, as well as samples from the healthy volunteers, were collected under the Ethics Committee of the Medical University of Bialystok upon signing an approved protocol and a written informed consent form in accordance with the Declaration of Helsinki, No. R-I-002/218/2007.

Methods

The cytokine was collected at the time of diagnosis (76 patients) and after induction (71 patients), approximately 28 ± 2 days after the beginning of treatment. The measurement was done following the manufacturers’ instructions. Four independent sets of experiments were performed. Each experiment included the kit’s standards run in triplicate and samples both from the AML patients and healthy controls. No significant variations were observed among the experiments. Quantitative assessments of cytokines were performed by means of ELISA assays. Soluble APRIL concentrations were measured in the serum with Human APRIL (Platinum ELISA, eBioscience Austria). Soluble TRAIL, BAFF, IL-6 and TNF were evaluated in the serum using commercially available test kits (Quantikine®, R&D kits, Minneapolis, MN, USA).

Statistics

Results were expressed as median (range). The chi-square or, alternatively, the Kruskal–Wallis test was used to assess relationships between categorical variables. Comparisons between the AML and the control groups were made using the non-parametric Mann–Whitney test. The Spearman’s order correlation coefficient was applied to determine correlations between the measured parameters. Survival times were compared by means of the log-rank test. Multivariate models were reduced by one factor at a time to ensure that all the factors remaining in the model were statistically significant at the 5 % level. p Values below 0.05 were considered to be statistically significant. Descriptive statistics were analysed, and univariate analyses were performed.

Results

Serum APRIL, BAFF, TRAIL, TNF-α and IL-6 concentration

Median (range) serum values of BAFF, APRIL, TRAIL, IL-6, TNF-α of AML patients and healthy volunteers are listed in Table 2. Pre-treatment AML patients had a significantly higher serum concentration compared to healthy volunteers for BAFF, 3,651.1 pg/ml (983.9–9151.4 pg/ml) versus 651.4 pg/ml (362.9–1,122.3 pg/ml), p < 0.0001; APRIL, 5.96 ng/ml (1.65–43.4 ng/ml) versus 1.68 ng/ml (1.0–7.56 ng/ml), p < 0.0001; IL-6, 12.12 pg/ml (1.96–43.4 pg/ml) versus 1.92 pg/ml (0.87–2.43 pg/ml), p < 0.001; and TNF-α, 9.06 pg/ml (3.92–83.4 pg/ml) versus 5.35 pg/ml (3.12–7.4 pg/ml), p = 0.04. On the other hand, the study did not show meaningful differences between AML patients compared to healthy volunteers for TRAIL: 68.54 pg/ml (19.1–104.8 pgml) versus 79.9 pg/ml (55.4–108.2 pg/ml), p = 0.12 (Table 2). Moreover, none of the analyses exhibited any marked differences in the concentration of cytokines according to the WHO classification for all studied cytokines (p > 0.05).
Table 2

The median (range) values of chosen parameters of AML patients and healthy volunteers

ParametersNo. of patients
New diagnosed patients n = 76Healthy volunteers n = 40Patients after an induction treatment
After the treatment n = 71With CR n = 44With NR n = 27
TRAIL [pg/ml]68.54 (19.1–104.8)79.9* (55.4–108.2)56.52 (19.3–158.8)74.2 (35.22–158.8)50.56*** (19.3–88.28)
BAFF [pg/ml]3615.1 (983.9–9151.4)651.4* (362.9–1122.3)3058.1** (972.3–8923.4)1885.1 (972.3–7645.4)5036.4*** (1538.2–8923.4)
APRIL [ng/ml]5.96 (1.65–43.4)1.68* (1.0–7.56)5.56 (1.4–69.9)3.42 (1.4–19.2)8.89*** (2.1–69.9)
TNF [pg/ml]9.06 (3.92–83.4)5.35 * (3.12–7.4)8.62** (3.8–69.1)8.51 (3.8–43.1)9.13 (3.9–69.1)
IL-6 [pg/ml]12.12 (1.96–43.4)1.92* (0.87–2.43)*8.64** (0.57–155.4)5.42 (0.57–20.1)19.4*** (4.57–155.4)

The values are presented as median (range)

AML acute myeloid leukaemia, BAFF B cell-activating factor, APRIL a proliferation-inducing ligand, TRAIL TNF-related apoptosis-inducing ligand, TNF tumour necrosis factor, IL-6 interleukin 6, CR complete remission, NR non-responders

*p < 0.05 between AML patients and healthy volunteers

**p < 0.05 between before and after treatment AML patients

***p < 0.05 between patients with CR and NR

The median (range) values of chosen parameters of AML patients and healthy volunteers The values are presented as median (range) AML acute myeloid leukaemia, BAFF B cell-activating factor, APRIL a proliferation-inducing ligand, TRAIL TNF-related apoptosis-inducing ligand, TNF tumour necrosis factor, IL-6 interleukin 6, CR complete remission, NR non-responders *p < 0.05 between AML patients and healthy volunteers **p < 0.05 between before and after treatment AML patients ***p < 0.05 between patients with CR and NR In addition, the concentration of BAFF and IL-6 in the group of newly diagnosed patients differed sharply from that of patients after chemotherapy, for BAFF, p = 0.02, and IL-6, p = 0.0001, respectively. Pronounced differences were observed also between the subgroup of patients with CR and NR. The concentrations were found to be lower in the former, for BAFF, 1,885.1 pg/ml (972.3–7,645.4 pg/ml) versus 5,036.4 pg/ml (1,538.2–8,923.4 pg/ml); IL-6, 5.42 pg/ml (0.57–20.1 pg/ml) versus 19.4 pg/ml (4.57–155.4 pg/ml), p = 0.001; and for APRIL, 3.42 ng/ml (1.4–19.2 ng/ml) versus 8.89 ng/ml (2.1–69.9 ng/ml), p = 0.04, but not for TNF-α, p = 0.23. Conversely, the concentration of TRAIL in the CR subgroup was meaningfully higher compared to the NR one: 74.4 pg/ml (35.22–158.8 pg/ml) versus 50.56 pg/ml (19.3–88.28 pg/ml), p = 0.02 (Table 2).

Correlation with clinical and laboratory data

We subsequently evaluated the association of each cytokine under scrutiny with a series of clinical and haematological variables of well-known parameters of prognosis and tumour load in AML (presented in Table 1). The study did not establish significant differences within the subgroup of patients with different types of cytogenetic risk (favourable vs intermediate I and II vs unfavourable), p > 0.05 except for the concentration of TRAIL. The median concentration of TRAIL in the favourable cytogenetic risk group, the intermediate I plus II and unfavourable group was established, standing at 77.1 pg/ml (43.3–104.8 pg/ml), 52.1 pg/ml (22.3–92.3 pg/ml) 5 and 45.6 pg/ml (19.1–88.3), p = 0.03, respectively. More importantly, the study did not establish significant differences in concentrations connected with the presence of internal tandem duplications of FLT3 mutations, p > 0.05. Statistic analyses were not done for NMP1 and CEBPA due to a small number of patients with positive mutations. Furthermore, the study demonstrated statistically significant correlations between the concentration of TNF-α, BAFF and TRAIL versus the WBC counts (rho = 0.33, p = 0.04 and rho = 0.58, p < 0.001 and rho = −0.56, p < 0.001, respectively). It also revealed a significantly positive correlation between the concentration of TNF-α and BAFF versus neutrophil counts (rho = 0.33, p = 0.04, rho = 0.47, p < 0.001) and a negative one with TRAIL (rho = −0.35, p = 0.01). In addition, the analyses showed a meaningful positive correlation between monoblastic cell counts and the concentration of BAFF (rho = 0.37, p = 0.01) and a negative one with TRAIL (rho = −0.42, p = 0.007). Even more importantly, the study revealed a positive correlation between the concentration of APRIL and the counts of blastic cells in a bone marrow smear (rho = 0.43, p = 0.001 and a negative one between the concentration of TRAIL and blastic cell counts in peripheral blood (rho = −0.41, p = 0.002) and LDH (rho = −0.52, p < 0.001). What is more, the concentration of BAFF was found to correlate significantly and positively with the concentration of APRIL (rho = 0.53, p < 0.001) and TNF (rho = 0.42, p = 0.002) and negatively with TRAIL (rho = −0.43, p = 0.001). We also established a meaningful negative correlation between TRAIL and IL-6 versus TNF-α (for both rho = −0.31, p = 0.04) and a positive one between IL-6 and BAFF (p = 0.02). There was, however, no correlation between IL-6 and APRIL (p > 0.05).

Prognostic impact of cytokines on overall survival

In the AML group, the favourable cytogenetic risk subgroup is usually excluded from the analysis due to its different biology and outcome. However, there was no change in the value of all the cytokines, except for TRAIL, in predicting survival after these patients had been excluded. Additionally, we observed that pre-treatment AML patients with serum BAFF values higher than the median (3,615.14 pg/ml) had a significantly shorter overall survival (OS) than patients with a lower BAFF value, p = 0.03 (Fig. 1). Furthermore, we found that pre-treatment AML patients with serum TRAIL values lower than the median (68.54 pg/ml) had a significantly shorter OS than patients with a higher TRAIL value, p = 0.03 (Fig. 1). In the subgroups of APRIL patients, there were no statistically significant differences in the median values (5.96 ng/ml) of APRIL, p = 0.61 with regard to OS. As expected, cytogenetic turned out to be a strong predictor of survival in this group of patients (p < 0.001). By contrast, LDH, age and WBC were not found to be predictors of survival. Multivariate Cox proportional hazard model, which incorporates all significant factors along with the studied cytokines, showed that only TNF-α and BAFF can be considered independent risk factors of cytogenetic, performance status or age (Table 3).
Fig. 1

Kaplan–Meier curves of overall survival estimates according to TRAIL, BAFF and APRIL serum levels, in patients with newly diagnosed acute myeloid leukaemia. Patients with TRAIL values higher (upper or black line) than median (38.54 pg/ml) have a significant longer OS than patients with lower TRAIL value (bottom line or red line). The two curves are significantly different (p = 0.03). Patients with BAFF values higher (bottom or black line) than median (3,615.14 pg/ml) have a significant shorter OS than patients with lower BAFF value (upper line or red line). The two curves are significantly different (p = 0.03). There were no differences of OS between patients with higher values of APRIL than median (5.96 ng/ml) compared to lower values, p = 0.6

Table 3

Univariate (unadjusted) and multivariate (adjusted) analysis of associations between concentrations of TNF-α superfamily and overall survival of AML patients

Overall survival
HR95 % confidence interval p Value
All patients
 Univariate analysis
  Sex (male vs female)1.16120.51–2.650.71
  Age (<60 vs 60+)1.53220.66–3.580.32
 Cytogenetics
  Favourable vs adverse5.71201.91–0.15.90.0005
  Intermediate vs adverse3.74111.59–11.640.0040
  TNF-α (low vs high)3.48011.36–8.910.0009
  APRIL (low vs high)0.81100.35–1.840.6133
  BAFF (low vs high)2.17110.87–4.940.0319
  TRAIL (low vs high)0.46670.19–1.100.0369
 Multivariate analysis
  TNF-α (low vs high)2.69171.05–5.890.0482
  BAFF (low vs high)2.53321.09–4.980.0502
  TRAIL (low vs high)0.71190.29–1.720.2912
Patients without favourable prognostic factors: inv(16) and t(8;21)
 Univariate analysis
  Sex (male vs female)1.17080.50–2.720.701
  Age (<60 vs 60+)1.35200.55–3.270.512
  Cytogenetics
  Intermediate vs adverse3.97511.73–13.030.0030
  TNF-α (low vs high)2.92471.17–5.580.0218
  APRIL (low vs high)0.88470.38–2.050.7745
  BAFF (low vs high)2.42250.98–5.990.0307
  TRAIL (low vs high)0.57800.22–1.4100.0304
 Multivariate analysis
  TNF-α (low vs high)2.67021.00–6.750.0405
  BAFF (low vs high)2.53650.99–6.030.0501
  TRAIL (low vs high)0.70920.27–1.610.3332

Low or high superfamily of TNF refers to values either lower or higher than median observed in all AML patients at the time of diagnosis

HR hazard rate, AML acute myeloid leukaemia, BAFF B cell-activating factor, APRIL a proliferation-inducing ligand, TRAIL TNF-related apoptosis-inducing ligand, TNF tumour necrosis factor, IL-6 interleukin 6

Kaplan–Meier curves of overall survival estimates according to TRAIL, BAFF and APRIL serum levels, in patients with newly diagnosed acute myeloid leukaemia. Patients with TRAIL values higher (upper or black line) than median (38.54 pg/ml) have a significant longer OS than patients with lower TRAIL value (bottom line or red line). The two curves are significantly different (p = 0.03). Patients with BAFF values higher (bottom or black line) than median (3,615.14 pg/ml) have a significant shorter OS than patients with lower BAFF value (upper line or red line). The two curves are significantly different (p = 0.03). There were no differences of OS between patients with higher values of APRIL than median (5.96 ng/ml) compared to lower values, p = 0.6 Univariate (unadjusted) and multivariate (adjusted) analysis of associations between concentrations of TNF-α superfamily and overall survival of AML patients Low or high superfamily of TNF refers to values either lower or higher than median observed in all AML patients at the time of diagnosis HR hazard rate, AML acute myeloid leukaemia, BAFF B cell-activating factor, APRIL a proliferation-inducing ligand, TRAIL TNF-related apoptosis-inducing ligand, TNF tumour necrosis factor, IL-6 interleukin 6

Discussion

Over the last few decades, countless attempts have been made at establishing prognostic markers capable of discriminating high-risk patients and at identifying a new complex network of cytokines that either promote or inhibit AML cell growth, progression and the development of drug resistance or sensitivity. Among these cytokines, TRAIL, a member of the TNF family, has emerged as a prominent biologically targeted anti-tumour protein by virtue of its remarkable ability to induce apoptosis in a variety of human cancer cell lines without affecting normal cells [8]. In recent years, TRAIL has raised hopes for its therapeutic potential as an anti-neoplastic agent in different types of tumours, including haematological malignancies, such as AML [30]. The in vitro cytotoxic response of AML cell lines to recombinant TRAIL varies from good to moderate [31, 32]. However, a number of in vitro studies have convincingly shown AML primary cells to be resistant to the proapoptotic activity of TRAIL used as a single agent, despite the presence and functioning of the TRAIL death pathway. Lack of sensitivity to the TRAIL apoptotic pathway can be explained by different mechanisms involving reduced expression of the death receptors (only a minority of the AML cells express TRAIL-R1 and TRAIL-R2) [33]. On the other hand, it has been recently demonstrated that TRAIL sensitivity of AML blasts could be increased by co-treatment with a cytotoxic drug even those who are refractory to conventional chemotherapy [33, 34]. Indeed, Chamuleau et al. confirmed the anti-apoptotic function of decoy TRAIL-R3 in vitro by treating leukaemic cell lines and fresh primary AML samples with recombinant soluble TRAIL. They have provided new evidence indicating that direct targeting of proapoptotic receptors may be an option in the treatment of AML patients. Even more importantly, they established that high expression of the decoy receptor R3 has impact on poor clinical outcome in AML [35]. To the best of our knowledge, there is no data describing the concentration of TRAIL in AML patients or its possible application on biological and clinical features of AML. In this respect, our study revealed significantly lower concentrations of soluble TRAIL in 76 AML patients compared to healthy volunteers. Second, the data showed that the concentration of TRAIL following the administration of induction therapy in the subgroup of CR was meaningfully higher compared to NR and nearly equalled the value in healthy volunteers. Even more importantly, it became clear that TRAIL concentration correlated negatively with risk factors, such as high WBC count and LDH, both of which have prognostic values and are associated with adverse outcomes in AML. Furthermore, based on the obtained data, we found a relevant negative correlation between the concentration of TRAIL and blastic cell counts, as well as meaningful differences within the range of cytogenetic risk groups, since the concentration in patients belonging to the favourable risk group was significantly higher compared to the rest, nearly equaling the values in healthy volunteers. It must be noted that blocking anti-TRAIL antibodies markedly reduced or completely inhibited hypoxia-induced apoptosis in AML1/ETO and that TRAIL is a key regulator of hypoxia-induced apoptosis in these cells [36]. All these established correspondences suggest that decreased concentration of TRAIL can be considered as a high-risk factor in patients with AML. Furthermore, the study found a negative correlation between monoblastic cell counts and TRIAL. Indeed, the dichotomous effect of TRAIL on malignant cells (early induction of apoptosis and monocytic maturation of the surviving cells) might have important therapeutic implications for the treatment of AML [11]. Moreover, in univariate analysis, the data showed that pre-treatment AML patients with serum TRAIL values higher than the median had a significantly shorter OS than patients with a lower TRAIL. The results are not surprising, since the data established also a negative correlation between TRAIL and TNF-α concentration, whose increased serum level is an adverse prognostic factor for survival in AML patients [5]. Summarising the obtained results, we hypothesized that myeloid leukaemic blasts may be principally sensitive to TRAIL-mediated killing by mTRAIL and/or sTRAIL expressed and secreted by naturally effector immune cells as a part of immune surveillance. BAFF, a glycoprotein belonging to the TNF family, is originally expressed as a type II membrane-bound protein, subsequently cleaved at a putative furin consensus site and released as a soluble protein [37], playing crucial roles in B cell homeostasis, tolerance and malignancy. It must be noted that the regulation of the expression and synthesis of BAFF by IL-10 and IFN-γ at the transcriptional level has also been demonstrated in human promyelocytic leukaemia cell cultures [38]. On the other hand, IL-6 and TNF-a may induce IL-10 secretion with the potential to inhibit IL-6, TNF-α production, which represents an important amplification loop of the inflammatory response [5]. Changes in one of these cytokines due to a malignancy lead to compensatory mechanisms that may alter the cytokine network. The anti-apoptotic activity of APRIL has so far been demonstrated in B lymphoma, multiple myeloma and B-CLL cells, suggesting a general oncogenic role for APRIL in haematological malignancies. Recently, Boci et al. demonstrated by means of the Western blotting analysis that exogenous expression of APRIL upregulated Bcl-2 in CD34+ cells, whereas APRIL neutralisation resulted in Bcl-2 downregulation in primary AML cells, indicating that APRIL protects AML from chemotherapeutic drugs through upregulation of Bcl-2 [26]. Conversely, blocking the function of APRIL by recombinant soluble APRIL receptors increased the chemotherapeutic drug-induced cell death in AML cells. These results indicate that APRIL acts in an autocrine fashion to protect AML cells from drug-induced death and foresee a therapeutic potential of APRIL antagonists in the treatment of AML. Our study has been the first to have established the concentration of BAFF and APRIL in AML patients, since BAFF and APRIL are not only a transmembrane proteins but it also exist in soluble forms derived from the intracellular cleavage of the full-length protein and confirmed their higher values compared to healthy volunteers. More importantly, we have revealed a meaningful decrease in the concentration of BAFF not APRIL following the administration of induction chemotherapy. We further extended this observation by demonstrating concentrations of APRIL and BAFF to be significantly lower in the subgroup of patients with CR compared to those who did not respond to therapy. Furthermore, we found a correlation between both proteins, and most importantly, between concentration of BAFF and the growth factor IL-6, a pleiotropic cytokine with multiple biological activities in vitro and in vivo, including human myeloid cell proliferation [39]. Since serum levels of IL-6 may reflect the activity of AML, it is possible that the elevated serum BAFF concentrations found in untreated patients and statistically higher in active NR, compared to patients with CR, may be related to the growth of myeloid cells. More importantly, the study showed that concentration of BAFF not APRIL was positively associated with WBC count and TNF-α concentration at diagnosis, what suggest likewise that BAFF is closely related to the severity and prognosis of the disease. In addition, the study revealed a positive correlation between the concentration of APRIL and the counts of blastic cells in a bone marrow smear, and a negative one with the concentration of TRAIL, which was shown to be a prognostic factor for OS in AML patients. Those do not come as a surprise since BAFF and APRIL are a well-known stimulator factors for B cell homeostasis and survival through the activation of NF-κB pathway. Indeed, there is ever more evidence that this pathway activity is also observable in the CD34+ AML cells [22]. Given that NF-κB activity is not restricted to specific AML subtypes or genetic abnormalities, it is possible that the signalling is universally essential for myeloid leukaemia progression. Furthermore, our analyses established important differences with regard to OS in subgroups with the cut-off point as the median of BAFF but not APRIL concentration, since the patients with a higher concentration had a significantly shorter OS. Our results fall in line with a study conducted by Kim et al., who showed in multivariate analysis that serum BAFF but not APRIL was an independent prognostic factor for OS and progression-free survival in NHL patients [40]. Therefore, it is reasonable to presume that APRIL and BAFF may play overlapping and synergetic roles in the pathogenesis of AML. In fact, it has been reported that BAFF and APRIL can associate with each other to form a heterotrimer capable of stimulating B cell proliferation in patients with autoimmune diseases [41]. Whether this heterotrimer exists and plays a part in AML needs further investigation. In conclusion, our results have demonstrated that serum concentrations of all TNF superfamily could constitute a useful biomarker of AML disease activity and progression. Pre-treatment concentrations of BAFF and TRAIL could also serve as a prognostic factor for OS. The ligands may therefore be a novel therapeutic target in AML.
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Review 1.  Regulation of B-cell-activating factor (BAFF)/B lymphocyte stimulator (BLyS) expression in human neutrophils.

Authors:  Patrizia Scapini; Flavia Bazzoni; Marco A Cassatella
Journal:  Immunol Lett       Date:  2007-12-07       Impact factor: 3.685

2.  Relationships between tumor necrosis factor (TNF)-related apoptosis-inducing ligand (TRAIL) and hematopoietic activity in healthy adults.

Authors:  J W Choi
Journal:  Ann Hematol       Date:  2005-07-09       Impact factor: 3.673

Review 3.  On the TRAIL of a new therapy for leukemia.

Authors:  S H Kaufmann; D P Steensma
Journal:  Leukemia       Date:  2005-12       Impact factor: 11.528

Review 4.  Diagnosis and management of acute myeloid leukemia in adults: recommendations from an international expert panel, on behalf of the European LeukemiaNet.

Authors:  Hartmut Döhner; Elihu H Estey; Sergio Amadori; Frederick R Appelbaum; Thomas Büchner; Alan K Burnett; Hervé Dombret; Pierre Fenaux; David Grimwade; Richard A Larson; Francesco Lo-Coco; Tomoki Naoe; Dietger Niederwieser; Gert J Ossenkoppele; Miguel A Sanz; Jorge Sierra; Martin S Tallman; Bob Löwenberg; Clara D Bloomfield
Journal:  Blood       Date:  2009-10-30       Impact factor: 22.113

Review 5.  The 2008 revision of the World Health Organization (WHO) classification of myeloid neoplasms and acute leukemia: rationale and important changes.

Authors:  James W Vardiman; Jüergen Thiele; Daniel A Arber; Richard D Brunning; Michael J Borowitz; Anna Porwit; Nancy Lee Harris; Michelle M Le Beau; Eva Hellström-Lindberg; Ayalew Tefferi; Clara D Bloomfield
Journal:  Blood       Date:  2009-04-08       Impact factor: 22.113

6.  Interleukin-10 and interferon-gamma up-regulate the expression of B-cell activating factor in cultured human promyelocytic leukemia cells.

Authors:  Lin Zhou; Renqian Zhong; Wanying Hao; Hao Wang; Xiaoxia Fan; Lingzhen Zhang; Qingmei Mi
Journal:  Exp Mol Pathol       Date:  2009-04-22       Impact factor: 3.362

7.  Serum BAFF predicts prognosis better than APRIL in diffuse large B-cell lymphoma patients treated with rituximab plus CHOP chemotherapy.

Authors:  Seok Jin Kim; Seung Jin Lee; In Young Choi; Yong Park; Chul Won Choi; In Sun Kim; Woosung Yu; Hee Sang Hwang; Byung Soo Kim
Journal:  Eur J Haematol       Date:  2008-05-27       Impact factor: 2.997

8.  Blocking the APRIL circuit enhances acute myeloid leukemia cell chemosensitivity.

Authors:  Désirée Bonci; Maria Musumeci; Valeria Coppola; Antonio Addario; Concetta Conticello; Michael Hahne; Massimo Gulisano; Francesco Grignani; Ruggero De Maria
Journal:  Haematologica       Date:  2008-10-06       Impact factor: 9.941

9.  Antitumor activity of bortezomib alone and in combination with TRAIL in human acute myeloid leukemia.

Authors:  Concetta Conticello; Luana Adamo; Luisa Vicari; Raffaella Giuffrida; Gioacchin Iannolo; Gabriele Anastasi; Laura Caruso; Gaetano Moschetti; Alessandra Cupri; Giuseppe Antonio Palumbo; Massimo Gulisano; Ruggero De Maria; Rosario Giustolisi; Francesco Di Raimondo
Journal:  Acta Haematol       Date:  2008-08-21       Impact factor: 2.195

10.  Synergistic cytotoxic activity of recombinant TRAIL plus the non-genotoxic activator of the p53 pathway nutlin-3 in acute myeloid leukemia cells.

Authors:  Paola Secchiero; Carlotta Zerbinati; Maria Grazia di Iasio; Elisabetta Melloni; Mario Tiribelli; Vittorio Grill; Giorgio Zauli
Journal:  Curr Drug Metab       Date:  2007-05       Impact factor: 3.731

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  7 in total

1.  Inflammatory biomarkers and patient-reported outcomes in acute myeloid leukemia: Refocusing on older adults.

Authors:  Li-Wen Huang; Rebecca L Olin
Journal:  J Geriatr Oncol       Date:  2019-07-23       Impact factor: 3.599

2.  Potential diagnostic biomarkers for IgA nephropathy: a comparative study pre- and post-tonsillectomy.

Authors:  Ying-Xin Xie; Li-Yu He; Xian Chen; Xiao-Fei Peng; Mu-Yao Ye; Yu-Jing Zhao; Wen-Zhe Yan; Chan Liu; Jing Shao; You-Ming Peng
Journal:  Int Urol Nephrol       Date:  2016-07-27       Impact factor: 2.370

3.  Inflammatory biomarkers, geriatric assessment, and treatment outcomes in acute myeloid leukemia.

Authors:  Kah Poh Loh; Janet A Tooze; Barbara J Nicklas; Stephen B Kritchevsky; Jeff D Williamson; Leslie R Ellis; Bayard L Powell; Timothy S Pardee; Neha G Goyal; Heidi D Klepin
Journal:  J Geriatr Oncol       Date:  2019-04-05       Impact factor: 3.599

4.  C59T mutation in exon 2 of monocytic leukemia-associated antigen-34 gene indicates a high risk of recurrence of acute myeloid leukemia.

Authors:  Bo Lei; Yinxia Chen; Aili He; Jing Luo; Pengyu Zhang; Fuling Zhou; Jie Liu; Xin Meng; Jing Wang; Wanggang Zhang
Journal:  Oncol Lett       Date:  2017-05-02       Impact factor: 2.967

5.  Arrayed molecular barcoding identifies TNFSF13 as a positive regulator of acute myeloid leukemia-initiating cells.

Authors:  Marion Chapellier; Pablo Peña-Martínez; Ramprasad Ramakrishnan; Mia Eriksson; Mehrnaz Safaee Talkhoncheh; Christina Orsmark-Pietras; Henrik Lilljebjörn; Carl Högberg; Anna Hagström-Andersson; Thoas Fioretos; Jonas Larsson; Marcus Järås
Journal:  Haematologica       Date:  2019-02-28       Impact factor: 9.941

6.  A Proliferation-Inducing Ligand and B-Cell Activating Factor Are Upregulated in Patients with Essential Thrombocythemia.

Authors:  Lukasz Bolkun; Marlena Tynecka; Tomasz Wasiluk; Jaroslaw Piszcz; Aleksandra Starosz; Kamil Grubczak; Marcin Moniuszko; Andrzej Eljaszewicz
Journal:  J Clin Med       Date:  2022-08-09       Impact factor: 4.964

7.  Plasmodium yoelii infection inhibits murine leukaemia WEHI-3 cell proliferation in vivo by promoting immune responses.

Authors:  Zhen-Zhen Tong; Zheng-Ming Fang; Qi Zhang; Yun Zhan; Yue Zhang; Wan-Fang Jiang; Xiao Hou; Yong-Long Li; Ting Wang
Journal:  Infect Dis Poverty       Date:  2018-05-16       Impact factor: 4.520

  7 in total

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