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Applied Cancer Research

Open Access

Quantitative real time PCR analysis of apoptotic gene expression in chronic lymphocytic leukemia patients and their relationships with chemosensitivity

Applied Cancer Research201737:8

https://doi.org/10.1186/s41241-017-0014-z

Received: 9 September 2016

Accepted: 20 February 2017

Published: 1 April 2017

Abstract

Background

Apoptosis-related gene expression such as BCL2, and p53 has been suggested in predicting the patient response to chemo- or radiotherapy, as well as patient’s survival.

Methods

The aim of this study was to determine changes in BCL2 and p53 apoptosis related gene expressions in chronic lymphocytic leukemia (CLL) patients in response to different chemotherapy regimens and number of treatment courses. The study was conducted on 55 CLL patients (44 CLL and 11 CLL/SLL; small lymphocytic lymphoma) and 40 healthy individuals as control, over three-months period. The RNA was extracted by exploitation total RNA extraction kit, treated with DNAse, then cDNA was synthesized and qRT-PCR used to analyze anti-apoptotic BCL2 and tumor suppresser p53 gene expressions.

Results

CLL/SLL showed higher BCL2 and p53 gene expression than CLL. The patients with CLL showed three-fold increase in BCL2 gene expression compared to healthy controls (p < 0.05), and 50% decrease in p53 gene expressions (p < 0.05). BCL2 gene expression was higher, particularly, for those who were treated with higher range of treatment courses and combination of fludarabine, cyclophosphamide and rituximab (FCR) regimen. P53 gene expression reciprocally related with BCL2 and vice versa.

Conclusions

In contrary to BCL2, p53 gene was extremely expressed in patients treated with chemotherapy agents, particularly after 24–30 months disease duration; suggesting a late expression of p53 during advanced stages of the disease. A proportional change in BCL2 and p53 gene expression was reported with different treatment regimens; Chlorambucil (Clb) decreased and FCR regimen increased BCL2 gene expression. Higher p53 gene expression reported with the Chlorambucil + (Chlorambucil + Prednisolone) regimen.

Keywords

RT-PCRApoptosisp53BCL2LeukemiaCLLCancerChemotherapy

Background

Chronic Lymphocytic leukemia (CLL) is a disease of morphologically mature, but immunologically less mature lymphocytes manifested by progressive accumulation of these cells within the blood, bone marrow, and lymphatic tissues poignant in the main older population [1].

Hematological malignancies have been reported in high rates among countries of Asia including Kurdistan as a region of Iraq [2]. While within the Western World, CLL have been rated as the most prevalent adult malignant neoplastic disease with an incidence of 4.2/100 000/year [3].

Apoptosis is a cellular mechanism used to remove cells that are damaged, infected, or have reached the end of their lifecycle [4]. Interrupted control of apoptosis can cause many diseases, including cancer, autoimmune diseases, and degenerative disorders [5]. The ultimate role of the anti-apoptotic protein BCL2 is to intercept the action of pro-apoptotic proteins responsible for stoma formation within the mitochondria [6, 7]. The vital equilibrium that exists between anti-apoptotic members such as BCL2, and pro-apoptotic members aids to dictate whether the cell initiates apoptosis [8, 9].

Preclinical studies demonstrates that BCL2 has a mechanistic part in many conventional modes of cancer treatment [1014] and its knockdown may potentiate the chemotherapy [15, 16]. BCL2 has also been involved in promoting resistance to traditional therapies in preclinical models [8, 17, 18]. Constitutively higher expression of the BCL2 gene makes CLL cells more resistant to apoptosis, resulting in the accumulation of long-lived, clonal lymphocytes which characterizes the disease [19]. The treatment of relapsed chronic lymphocytic leukemia (CLL) has recently changed with the introduction of drugs that inhibit intracellular B-cell receptor signaling [20].

Selective targeting of BCL2 with ABT-199/venetoclax provided an acceptable safety profile and induced valuable outcomes in patients with relapsed CLL or SLL, including those with poor prognostic features [21].

Having a major role in cellular response to stress, p53 perform as the major barrier for tumorogenesis [22]. This impediment should be eliminated in order to allow tumor development. Indeed, nearly more or less than half of human cancers bear p53 gene mutations; in the majority of remaining cancer patients, p53 task is compromised by different mechanisms [23].

The current study aimed to analyze, BCL2 and p53 genes expression in CLL patients regarding chemotherapeutic regimen, number of treatment courses and disease states watch & wait (WW), newly diagnosed (ND) and chemotherapy (CHT).

Methods

The study was conducted on 55 CLL patients visiting Hiwa Hospital for Hematology & Oncology in Sulaimaniyah, Iraq, either for diagnosis, to continue the CHT courses or changes in their disease state, over three-months period from 1st October to 30th December-2013. Diagnosis and staging were based on standard clinical, morphological and immunophenotyping criteria. Detailed information was taken directly from the patient, or from the data in computer-based patient records.

The present study was carried out in four steps: Step I: Collecting blood samples from CLL patients and 40 healthy individuals as control. Step II: Total RNA was extracted from peripheral blood by total RNA isolation kit from Geneaid™ (Geneaid Biotech Ltd., Taiwan) according to manufacturer’s instruction in Kurdistan Institution for Strategic Studies and Scientific Research (KISSR) in Sulaimaniyah. Step III: cDNA was synthesized in Shiraz Institute for Cancer Research/Shiraz Medical College/Iran by Thermo Scientific Maxima H Minus First Strand cDNA Synthesis Kit with dsDNAse according to manufacturer’s instruction. Step IV: qRT-PCR analysis was processed in 48 well StepOne™ Real-Time PCR System from Applied Biosystems (Thermo Fisher Scientific, Waltham, MA USA) in Shiraz Institute for Cancer Research/Shiraz Medical College/Iran. TaqMan master mix was used for BCL2 and SYBR green for p53; using B-actin as internal control normalized gene expression.

QRT-PCR data analysis

Quantitative analysis was performed by the measurement of threshold cycle (CT) values during the exponential phase of amplification. ΔCT was calculated by the difference between the CT values of the BCL2, p53 and the CT value of B-actin gene. Finally Relative quantifications were calculated by using this equation: 2- ΔCT/[Average of (2- ΔCT)].

Statistical analysis

The results are expressed as mean ± SEM. Independent student’s t-test was used to analyze statistical differences between the means of gene expressions in CLL patient (treated and untreated) and control. One-way analysis of variance (ANOVA) test was used for comparison the difference in BCL2 and p53 gene expressions among patients with different disease states (WW, ND and CHT), with different age, disease duration and frequency of treatment course. When appropriate, the LSD (least significant difference) test was used for multiple comparisons between groups. The threshold for significant difference was set at P < 0.05. SPSS® 21 software (SPSS Inc., Chicago, IL, USA) was used to carry out the statistical analyses.

Results

Gene expressions in patients and control groups

The relative BCL2 gene, (6.1 ± 1.3), was significantly increased (p < 0.05) in CLL patient (treated and untreated, n = 55) in comparison to control group (n = 40), (0.85 ± 0.1). The relative p53 gene expression was significantly decreased (p < 0.05) in CLL patient (0.2 ± 0.04) in comparison to control (0.9 ± 0.2), (Fig. 1).
Fig. 1

Relative Bcl-2, p53 gene expression in CLL patients (treated and untreated) and control group, data expressed as Mean ± SEM

BCL2 and p53 gene expressions in patients with different disease states (WW, ND and CHT)

Comparison of the relative BCL2 gene expression in patients with (WW) (n = 3), (4.6 ± 0.34), (ND) (n = 4) (14.6 ± 10.9) and (CHT) (n = 48) (5.5 ± 1.2) showed no significant differences between different disease states (Fig. 2). The relative p53 gene expression in patients with (WW) (n = 3), (0.08 ± 0.01) (ND) (n = 4) (0.12 ± 0.08) and (CHT) (n = 48) (0.2 ± 0.04) showed no significant difference F(2,52) = 0.69; P > 0.05, (Fig. 3).
Fig. 2

Relative Bcl-2 gene expression in CLL/SLL patients in different disease states, data expressed as Mean ± SEM

Fig. 3

Relative p53 gene expression in CLL/SLL patients in different disease states, data expressed as Mean ± SEM

The effect of age on gene expression

Analysis of BCL2 gene expression according to the age of the patients (treated and untreated) showed no significant difference F(4,50) = 1.14, p > 0.05. The (Mean ± SEM) values for age groups were as follow: (40–49) [2.3 ± 0.72], (50–59) [2.03 ± 0.9], (60–69) [6.79 ± 2.56], (70–79) [9.8 ± 2.4], (80–91) [5.02 ± 1.9].

There was no significant difference for p53 F(4,50) = 0.1.916, p > 0.05. The (Mean ± SEM) values for age groups were as follow: (40–49) [0.13 ± 0.07], (50–59) [0.07 ± 0.04], (60–69) [0.18 ± 0.04], (70–79) [0.4 ± 0.13], (80–91) [0.1 ± 0.07].

The difference in gene expression between genders

Female (n = 19) (6.03 ± 1.52) showed higher BCL2 gene expression than male (n = 36) (3.35 ± 0.89) however, not significant (P > 0.05). In addition, no significant difference in p53 gene expression existed between male [0.55 ± 0.1] and female [0.19 ± 0.09); nevertheless, p53 in male showed higher gene expression than female.

The difference in gene expression among control, CLL and CLL/SLL

The comparison of gene expression between control group (n = 40), CLL (n = 44) and CLL/SLL (n = 11) showed a significant increase (p < 0.05) in BCL2 expression F (2,92) = 8.93 p < 0.05, and a significant decrease in p53 expression F(2,92) = 9.86.

Multiple comparisons showed a significant difference in BCL2 gene expression between control (0.85 ± 0.1) and CLL patients’ (5.03 ± 1.3) p < 0.05. There was a significant difference (p < 0.05) in gene expression between control (5.03 ± 1.3) and CLL/SLL patients (10.3 ± 3.6). In addition, the relative gene expression in CLL patients’ gene (5.03 ± 1.3) was significantly less than that in CLL/SLL patients’ (10.3 ± 3.6) (Fig. 4).
Fig. 4

Bcl-2 gene expression among control, CLL and CLL/SLL patients, data expressed as Mean ± SEM

For p53 gene expression, there were significant differences (p < 0.05) between control (0.89 ± 0.18) and CLL patients’ (0.14 ± 0.03) p < 0.05, and control and CLL/SLL patients’ (0.36 ± 0.15). However, comparison between CLL (0.14 ± 0.03and CLL/SLL patients’ (0.36 ± 0.15) showed no significant difference in p53 gene expression; (Fig. 5).
Fig. 5

p53 gene expression among control, CLL and CLL/SLL patients, data expressed as Mean ± SEM

The effect of number of treatment courses on gene expression

BCL2 gene expression increased in response to an increase in number of treatment courses, however the increment in BCL2 gene expression within the treatment courses was no significant F(7,46) = 1.466. No significant difference for p53 gene expression was reported F(7,46) = 2.3, (Table 1).
Table 1

Relative gene expression of BCL2 and p53 of CLL patients (treated only) according to No. of treatment courses, data expressed as Mean ± SEM

No. of courses

No. of Patients

BCL2 expression

P value

P53 expression

P value

1-5

6

2.20 ± 1.07

0.073

0.04 ± 0.02

0.578

6-10

13

4.55 ± 2.01

0.607

0.22 ± 0.07

0.450

11-15

12

3.12 ± 1.58

0.843

0.13 ± 0.04

0.939

16-20

8

4.98 ± 2.19

0.578

0.11 ± 0.05

0.961

21-25

4

11.27 ± 5.41

0.133

0.7 ± 0.36

0.071

26-30

3

15.46 ± 9.98

0.274

0.2 ± 0.10

0.652

>30

3

7.46 ± 6.38

0.422

0.3 ± 0.21

0.400

The effect of treatment regimen on gene expression

ANOVA test was used to measure the difference in gene expressions between the patients who were treated with different regimens. Both BCL2 and p53 gene expression showed no significant difference F(6,40) = 1.01; P > 0.05, F(6,40) = 1.02; P > 0.05, respectively (Table 2).
Table 2

Relative gene expression of BCL2 and p53 of CLL patients (treated only) according to different treatment regimens, data expressed as Mean ± SEM

Treatment Regimen

No. of Patients

BCL2 expression

P value

P53 expression

P value

Clb

5

1.7 ± 0.93

.338

0.12 ± 0.05

0.647

Clb + P

10

4.2 ± 1.42

.542

0.12 ± 0.05

0.583

Clb + (Clb + P)

6

7.5 ± 4.16

.972

0.45 ± 0.27

0.162

FCR

11

11.5 ± 4.89

.402

0.20 ± 0.06

0.977

FCR+ Clb + (Clb + P)

5

4.1 ± 1.85

.592

0.08 ± 0.04

0.50

FCR + (Clb + P)

4

1.6 ± 0.71

.371

0.23 ± 0.17

0.903

Clb chlorambucil, P prednisolone, FCR: F fludarabine, C cyclophosphamide, R rituximab

As indicated in Table 2, Clb showed apoptotic activity by decreasing BCL2 gene expression while in FCR regimen the BCL2 gene expression was higher than other treatment regimens. For p53 gene expression, the Clb + (Clb + P) regimen showed higher p53 gene expression than other regimens.

The effect of disease duration on gene expression

Gene expression for BCL2 and p53 showed no significant difference F(8,46) = 1.156; F(8,46) = 0.936 (Table 3).
Table 3

Relative BCL2 and p53 gene expression in CLL patients (treated and untreated) according to disease duration from diagnosis date, data expressed as Mean ± SEM

Duration of disease

No. of Patient

BCL2 expression

P value

P53 expression

P value

ND

3

19.3 ± 14.0

0.054

0.16 ± 0.15

0.80

6 months

10

5.2 ± 2.29

0.418

0.11 ± 0.05

0.983

7-12 months

6

1.3 ± 0.69

0.718

0.15 ± 0.12

0.995

18 months

9

6.7 ± 2.66

0.532

0.16 ± 0.06

0.789

19–24 months

7

2.3 ± 0.86

0.656

0.10 ± 0.04

0.143

24–30 months

7

7.2 ± 3.56

0.559

0.45 ± 0.23

0.781

31–36 months

7

7.8 ± 4.74

0.864

0.21 ± 0.05

0.896

>36 months

6

6.0 ± 3.15

0.573

0.18 ± 0.10

0.763

The results highlighted that newly diagnosed patients had higher BCL2 gene expression compared with other disease durations. Higher gene expression was reported for p53 for 24–30 months disease duration.

Correlations between chemotherapy treatment and number of treatment courses and gene expressions

A Pearson's product–moment correlation was run to assess the relationship between the type of chemotherapy regimen and number of treatment courses and relative gene expression. The correlations were statistically not significant, p value > 0.05. (Table 4)
Table 4

Correlation among BCL2 and p53 gene expression in CLL patients (treated only) according to number of treatment courses and type of treatment regimen

 

BCL2

P53

1.

Clb

  

Pearson Correlation

−0.230

0.202

Sig. (2-tailed)

0.661

0.701

Treatment Courses

N

6

6

2.

Clb + P

  

Pearson Correlation

0.323

−0.260

Sig. (2-tailed)

0.333

0.440

Treatment Courses

N

11

11

3.

Clb + (Clb + P)

  

Pearson Correlation

−0.049

−0.760

Sig. (2-tailed)

0.938

0.136

Treatment Courses

N

5

5

4.

FCR

  

Pearson Correlation

−0.854

−0.491

Sig. (2-tailed)

0.146

0.509

Treatment Courses

N

4

4

5.

FCR + Clb + (Clb + P)

 

Pearson Correlation

0.717

−0.621

Sig. (2-tailed)

0.173

0.264

Treatment Courses

N

5

5

6

FCR+(Clb + P)

  

Pearson Correlation

−0.452

-.023

Sig. (2-tailed)

0.190

0.951

Treatment Courses

N

10

10

Discussion

The present study showed that in healthy subjects BCL2 and p53 expression by B-lymphocytes seem to be inversely related. Conversely, anti apoptotic activity expressed by BCL2 gene and tumor suppressor activity represented by p53 gene expression, were in a balanced state. A three-fold increase of BCL2 expression and a 50% decrease in p53 expression was reported in CLL patients. The finding is in agreement with Klobusická et al. [24], indicating an overexpression of that P53 protein and down regulation of BCL2 expression in a subgroup of B-CLL patients.

In ND patients the BCL2 and p53 gene expression were higher than that in patients who were underwent treatment with CHT. This is in line with Lazaridou et al. [25] suggesting an early overexpression of BCL2 and expression of p53 during advanced stages of the disease.

In contrary, patients in WW state showed lower BCL2 expression than ND patients and CHT patients and this partly explain why WW patients were asymptomatic. A relative expression of p53 with BCL2 gives evidence the cells still living in a balanced state, which may become disrupted in future by several predisposing factors.

Age has an effect on p53 gene expression, younger patients showed normal levels with a decrease at the start of the treatment and an increase in older patients. This is in agreement with the study carried out by Stoklosa and Golab [26] which involved investigating several types of cancer with the finding that p53 gene is a potentially useful biomarker for predicting prognosis and patient’s response to therapy

Gender has an effect on apoptosis gene expression, so that expression of BCL2 gene was reported to be higher and p53 was lower in female compared to male. Dissimilarities in gene expression between genders this result is similar to study results done by Klobusická M. and colleagues[27] which they reported that the expression of BCL2 protein was significantly higher in female patients under 50 years and inverse relationship between a higher accumulation of p53 and repressed BCL2 expression and vice versa was observed.

BCL2 gene expression in CLL and CLL/SLL was higher than healthy subject. Comparison of individual expression indicated that gene expression was higher in many CLL/SLL patients than CLL patients, which might explain the resistance to CHT. Although CLL and SLL do vary slightly, the cell of origin in CLL and CLL/SLL is identical and they have the same genetic pattern, morphology and prognostic markers. However, their survival and response to treatment tend to be very similar [28]. Expression of p53 gene was lower in CLL and CLL/SLL compared to the control group, however, the difference was not statistically significant. Similarly, Santos et al. [29] reported that both CLL and CLL/SLL are currently considered different manifestations of the same entity in the fourth edition of the World Health Organization Classification of Tumours of Haematopoietic and Lymphoid Tissues. It is suspected that differential expression of chemokine receptors (e.g., reduced expression of R1 and CCR3 in SLL cells), integrins (e.g., CLL cells have lower expression of integrin αLβ2), and genetic abnormalities (a higher incidence of trisomy 12 and lower incidence of del(13q) is found in CLL/SLL) may explain some of the clinical differences between these two disorders [29].

The study showed proportional increase in BCL2 gene expression with patients’ treatment regimens, whereas treatment courses were not directly affecting patients’ gene expression. In contrary, this increase gives more imbalances between pro and anti-apoptotic activity to B-cells. Expression of p53 gene was not changed during treatment courses except for patients who took about 21–25 courses and this might be due to the high proliferation activity of the B-cells at this stage of the disease that gives little higher gene expression in comparison with other treatment courses. The results of high expression of BCL2 in patients with high treatment courses or with long disease durations is similar to study results done by Reed JC [30] he reported that the overexpression of BCL2 is associated with tumor development or progression, and resistance to anticancer chemo- and radiotherapy and disagrees with studies done by Aguilar-Santelises et al. [31] they reported an early overexpression of BCL2 and expression of p53 during advanced stages of the disease.

For treatment regimens, Clb showed its effect on the apoptotic activity by decreasing the BCL2 gene expression. The study results are in agreement with a Pepper C. and colleagues [32] who reported that high levels of BCL2 in B-CLL cells were down-regulated in apoptotic cells after Clb treatment, however, the mean BCL2 expression in viable cells was increased. This was explained to be the result of the loss of lower BCL2-expressing cells into the apoptotic compartment. Clb alone or plus p shows slightly increase in p53 gene expression. This result agrees with the study carried out by Begleiter et al. [33], which reported that Clb, similarly to purine nucleoside, might induce cell death in CLL by the p53-dependent pathway.

For other treatment regimens p53 gene expression showed no significant changes, which may indicate that such treatment, were not directly affecting the p53 cellular activity and/or FCR may not be the most appropriate therapy. This assumption is supported by Hillmen et al. [34], who reported that patients with abnormalities of the p53 pathway have a very poor response to FCR (5% complete remissions in 17p-deleted CLL compared with nearly 50% for those patients without 17p deletion). However, FCR regimen cause massive increase in BCL2 gene expression and this result disagrees with known mechanism of action of fludarabine, which triggers apoptosis and disagree with study carried out by Plosker and Figgitt [35]. They reported that rituximab sensitizes neoplastic cells to the effects of chemotherapeutic agents. Thus, supporting the use of combination of CHT with rituximab. So rituximab down regulates interleukin (IL)-10 and BCL2 expression, thus making neoplastic B-cells potentially more susceptible to fludarabine-induced apoptosis [36].

The combination Clb and P then FCR decreases BCL2 gene expression and this might be due to synergistic activity of the treatment combination, which triggers further apoptosis.

Results showed in ND patients the BCL2 gene expression is high. This decreases by starting CHT at low levels in first year of treatment due to effect of CHT compared with ND. The expression of BCL2 fluctuated during different stages of treatment courses till two years into treatment. BCL2 showed almost constant expression after that period and this might be due to resistance to CHT that makes this straight expression. In comparison, p53 gene expression showed a straight expression during all stages of treatment courses giving evidence that it was not regulated by treatment.

Study results showed no statistically significant correlation between type of treatment and number of treatment courses with BCL2 and p53 gene expressions p value > 0.05 this result is similar to study results done by Cordone et al., they reported that in CLL the expression of the p53 protein, is strongly associated with p53 gene mutations, a morphological variant (CLL with >10% prolymphocytes), advanced clinical stage, progressive disease, poor response to therapy, and short survival [37] and disagrees with Thomas A. and colleagues study results which reported by chlorambucil produced almost identical changes in BCL2 and Bax expression in normal T-cells and leukaemic B-cells triggered to die by apoptosis, which together with the correlation between BCL2 and chemosensitivity confirms a pivotal role for BCL2 in regulating a distal step in the apoptotic pathway following cytotoxic cellular damage [38] and also disagrees with data reported by Robertson LE and colleagues, their data suggests that BCL2 is important in the pathogenesis and progression of CLL and that quantitation of BCL2 protein may provide useful prognostic information [39].

Conclusions

BCL2 gene expression was almost equal between the patients newly diagnosed and those underwent chemotherapy treatment. In contrary, p53 gene was extremely expressed in patients treated with chemotherapy agents particularly after 24–30 months disease duration; suggesting an early overexpression of BCL2 and expression of p53 during advanced stages of the disease.

Treatment courses were not directly affected patients’ gene expression. However, a proportional change in BCL2 and p53 gene expression was reported with different treatment regimens; Clb decreased and FCR regimen increased BCL2 gene expression. Higher p53 gene expression reported with the Clb + (Clb + P) regimen.

Abbreviations

BCL2: 

B-cell lymphoma

cDNA: 

Complementary DNA

CHT: 

Chemotherapy

CLL: 

Chronic Lymphocytic Leukemia

Clb: 

Chlorambucil

DEPC: 

Diethylpyrocarbonate

dNTP: 

Deoxynucleotide

dsDNAse: 

Double-strand specific DNAse enzymes

FCR: 

Fludarabine Cyclophosphamide, Rituximab

KISSR: 

Kurdistan Institution for Strategic Studies and Scientific Research

ND: 

Newly Diagnosed

P: 

Prednisolone

qRT-PCR: 

Quantitative Real Time Polymerase Chain Reaction

RT-PCR: 

Real Time Polymerase Chain Reaction

SLL: 

Small Lymphocytic Lymphoma

TNF: 

Tumor necrosis factor

W & W: 

Watch and wait

Declarations

Acknowledgments

We thank Prof. Ghaderi, Dr. Mahboubaba and Dr. Husseini, and other members at the Shiraz Institute for Cancer Research, Shiraz Medical College-University of Shiraz, Iran, for their collaborations. We thank Prof. Ferhad Barzangi and Dr. Zhala A.A. Karim at Institution for Strategic Studies and Scientific Research” in Sulaimaniyah for their instrumental contribution. Special thanks, to Dr. Banaz Mubarak at “Hiwa Hospital of Oncology & Hematology in Sulaimaniyah” for her guidance through data collection. Financial support from University of Sulaimani is acknowledged.

This paper is based on a MSc thesis by M.A.M.

Funding

Sources of funding for the research was from University of Sulaimani.

Availability of data and materials

Please contact corresponding author for data requests.

Authors’ contribution

All authors discussed the research design and results at all stages. HKS and MAM designed and administered the experiment, analyzed and interpreted the data; and prepared the manuscript. MAM performed the experiments. HKS gave conceptual advice and final approval of the version to be published; NK prepared and managed the patients in Hiwa Hospital and gave clinical advice. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The study approved by Ethical Committee at the Faculty of Medical Sciences and Scientific Committee of Department of Pharmacology and Toxicology, School of Pharmacy, University of Sulaimani.

Capsule

Anti-apoptotic Bcl-2 family members and additionally the tumor suppresser p53 may be thought-about as a key choice of cancer and significantly contributes to the impact of current treatment modalities on cancer cells.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Pharmacology and Toxicology, School of Pharmacy, Faculty of Medical Sciences, University of Sulaimani
(2)
Department of Hematology, Hiwa Hospital, Directorate of Health

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