Skip to main content

Quantitative expression analysis and prognostic significance of the BCL2-associated Xgene in nasopharyngeal carcinoma: a retrospective cohort study

Abstract

Background

Nasopharyngeal carcinoma (NPC) is a highly metastatic epithelial malignancy showing high prevalence in Southeast Asia and North Africa. The BCL2-associated X (BAX) gene encodes the most important pro-apoptotic member of the BCL2 family. We have recently shown that BCL2 and BCL2L12, two other members of the same apoptosis-related family, possess significant prognostic value in NPC. The objective of the current study was to analyze BAX mRNA expression in nasopharyngeal biopsies of NPC patients, and to assess its prognostic potential in this disease.

Methods

Total RNA was isolated from 88 malignant and 9 hyperplastic nasopharyngeal biopsies, resected from Tunisian patients. After cDNA synthesis by reverse transcription of polyadenylated RNA, BAX mRNA expression was analyzed using a highly sensitive quantitative real-time polymerase chain reaction (qRT-PCR) method.

Results

Lower BAX mRNA levels were detected in NPC biopsies than in hyperplastic nasopharyngeal samples. BAX mRNA expression status was associated with low tumor extent, negative regional lymph node status, and absence of distant metastases. Kaplan-Meier survival analysis demonstrated that patients with BAX mRNA-positive NPC have significantly longer disease-free survival (DFS) and overall survival (OS). In accordance with these findings, Cox regression analysis revealed that BAX mRNA expression can be considered as a favorable prognostic indicator of DFS and OS in NPC, independent of their gender, age, tumor histology, tumor extent, and nodal status. Furthermore, NPC patients without distant metastases are less likely to relapse when their primary tumor is BAX mRNA-positive, compared to metastasis-free patients with a BAX-negative nasopharyngeal malignancy.

Conclusion

This is the first study examining the potential clinical utility of BAX as a prognostic tumor biomarker in NPC. We provide evidence that BAX mRNA expression can be considered as an independent favorable prognostic indicator of DFS and OS in NPC.

Background

Apoptosis, the commonest mode of programmed cell death, plays a vital role in a wide variety of physiological processes by eliminating cells at the appropriate time and, therefore, controlling their number in development and throughout an organism’s life [1]. Defects in apoptotic cell death contribute utmost to the pathogenesis and progression of cancer by delaying or even preventing normal cell death, which results in abnormal cell accumulation [2, 3]. The elucidation of the molecular machinery underlying apoptosis has uncovered the role of several proteins that are responsible, directly or indirectly, for the morphological and biochemical changes characterizing this phenomenon, such as chromatin condensation, DNA fragmentation, membrane blebbing and disruption of the maintained integrity of organelle structures along with formation of apoptosomes [4, 5].

Perhaps the most known apoptosis-related family, BCL2, comprises many pro- and antiapoptotic proteins, showing partial structural similarity, as all of them contain at least one BCL2-homology domain (BH1, BH2, BH3, and/or BH4) [6, 7]. The pro-apoptotic members of the BCL2 family, like BAX, BAD, BID and BCLXS, facilitate apoptosis, while the antiapoptotic members, such as BCL2, BCLXL and BCLW, impede the apoptotic cell death machinery [8]. Interestingly, the relative ratios of pro- and antiapoptotic BCL2-family protein levels determine the sensitivity or resistance of cells to multiple apoptotic stimuli, including growth factor deprivation, hypoxia, irradiation, antineoplastic agents, oxidants, and Ca2+ overload [4, 9, 10]. In consistence with these findings, most BCL2-family members have been shown to constitute significant prognostic indicators for many solid tumors and blood malignancies, and/or putative biomarkers for monitoring of cancer patients’ response to chemotherapy [11, 12].

BCL2-associated X (BAX) protein was the first apoptosis-inducing member of BCL2 family to be discovered [13]. Alternative splicing of the BAX gene produces four splice variants, each encoding a distinct protein isoform, namely BAX alpha, beta, delta, and sigma. Additionally, a non-coding transcript subjected to nonsense-mediated mRNA decay, named BAX variant epsilon, has been reported. The BAX alpha isoform bears the conserved BH1, BH2 and BH3 domains, and has a tertiary structure resembling that of BCLXL and BCL2 [14]. The BH3 domain of BAX is essential for its homodimerization and its heterodimerization with BCL2 and BCLXL[15]. The formation of heterodimers between BAX and other members of the BCL2 family is involved in the regulation of apoptosis [16, 17]. The high importance of BAX for the control of apoptotic cell death is reflected in the fact that cells overexpressing BAX show enhanced apoptosis whereas BAX-null cells are resistant to apoptosis [10, 18]. BAX expression is also associated with tumor development and hematological malignancies [11, 18].

A wide variety of tumors can arise in the nasopharynx, the most common being the nasopharyngeal carcinoma (NPC). NPC belongs to the family of lymphoepithelial carcinomas; these morphologically distinctive tumors can arise in a variety of sites, such as other head and neck mucosal sites, salivary gland, lung and thymus [1921]. NPC is strongly associated with Epstein-Barr virus (EBV) infection, irrespectively of the ethnic origin of the patients, and represents one of the most frequent virus-related human malignancies, following liver carcinoma – associated with hepatitis B virus (HBV) and/or hepatitis B virus (HCV) presence – and cervix carcinoma, which shows a very strong association with human papillomavirus (HPV) infection [22]. Except for EBV infection, multiple other factors participate in the etiology of NPC, including genetic and epigenetic alterations as well as environmental factors, such as dietary habits [2325].

NPC was initially reported in 1901 and clinically characterized in 1922 [21]. This malignancy shows a particular ethnic and geographic distribution [26]. Its highest incidence rates, varying between 15 and 50 per 100000 persons, are observed in South China and Southeast Asia, where the peak of incidence is at the age of about 50 years. NPC is also endemic in North Africa, showing a prevalence of 8 per 100000 persons and an additional minor peak of incidence occurring between the ages of 10 and 20 years, including about 25% of all NPC patients [27, 28]. In Tunisia, particularly, NPC constitutes the most common type of head and neck cancer [29]. On the other hand, this malignancy is rather uncommon in the United States, accounting for 2% of all head and neck squamous cell carcinomas (HNSCCs), with an incidence of 0.5 to 2 per 100000 people. In addition, an intermediate incidence has been reported in Alaskan Eskimos and the Mediterranean Basin (North Africa, South Italy, Greece, and Turkey), ranging from 15 to 20 per 100000 persons [19].

Primary assessment of NPC is currently based on microscopic examination of cells and tissues. The strong association existing between NPC and EBV infection has pioneered a new paradigm of utilizing viral serological tests for cancer diagnosis and for screening in high-risk populations [30]. Furthermore, NPC is generally responsive to radiation therapy, and patients’ clinical outcome has significantly improved over the years, mostly due to refinements in staging and to improved therapy protocols [31]. Therapeutic decision-making is supported by a limited set of clinical, histological, and biological features. Notwithstanding this classification system has allowed important advances in cancer treatment, it is not always accurate [20].

To date, many efforts have been focused on the discovery of new biomarkers revealing the biological profile of each NPC case, therefore contributing to NPC diagnosis and prognosis, as well as to prediction of effective therapeutic strategies and monitoring of patients’ response to treatment. Several potential NPC biomarkers have been studied, including molecules implicated in pathways affecting key cellular properties, such as cell proliferation, apoptosis, invasion, and metastasis. Nevertheless, no established tissue molecular markers for NPC have been used so far in clinical practice; thus, the identification of novel prognostic and predictive biomarkers for NPC is a high necessity [32].

The aforementioned data prompted us to analyze BAX mRNA expression in 88 malignant and 9 hyperplastic nasopharyngeal biopsies using a highly sensitive quantitative real-time PCR (qRT-PCR) method that has previously been developed by members of our group, and to evaluate its potential prognostic significance and clinical application as a novel molecular tissue biomarker in NPC.

Methods

NPC patients and tissue specimens

Nasopharyngeal tissue biopsies were collected from 88 patients diagnosed with primary NPC and from 9 individuals with nasopharyngeal hyperplasia, at the Habib Bourguiba University Hospital of Sfax, in the South of Tunisia. All patients had not received any treatment prior to surgery. Sample collection took place between 2000 and 2007. Selection criteria for the specimens included the availability of sufficient tissue mass for RNA isolation. The selected patients represented approximately 45% of new NPC cases, diagnosed at the above institution during the accrual period, and the vast majority of them were EBV-positive. All biopsies were histologically confirmed by a pathologist. The clinical stage of nasopharyngeal biopsies was determined according to the tumor, node, and metastasis (TNM) classification system of the American Joint Committee on Cancer (AJCC) / Union for International Cancer Control (UICC), and the histological type was designated according to the World Health Organization criteria.

Biopsy samples were frozen in liquid nitrogen immediately after resection and stored at -80°C until further use. The current study was performed in accordance with the ethical standards of the Declaration of Helsinki in 1995 as revised in Tokyo in 2004, and was approved by the institutional Ethics Committee of CHU Habib Bourguiba (Sfax, Tunisia). Moreover, informed consent was obtained from all patients included in the study. Follow-up data included survival status (alive or deceased from NPC) and disease status (disease-free or recurrence/metastasis), along with dates of the events and cause of death.

Human cell line culture

The human acute promyelocytic leukemia cell line HL-60 was maintained in RPMI 1640 medium, adjusted to contain 10% fetal bovine serum (FBS), 100 kU/L penicillin, 0.1 g/L streptomycin, and 2 mM L-glutamine. Cells were seeded at a concentration of 4×105 cells/mL and incubated for 48 h at 37°C, in a humidified atmosphere containing 5% CO2, before being collected for further use.

Isolation of total RNA and reverse transcription of polyadenylated RNA

Frozen hyperplastic and NPC tissue biopsies were pulverized with a scalpel on dry ice and total RNA was, then, isolated using the RNeasy Mini Kit (Qiagen Inc., Valencia, CA, US), according to the manufacturer’s instructions. Total RNA was assessed spectrophotometrically at 260 and 280 nm for its concentration and purity, and stored immediately at -80°C until further use.

First-strand cDNA was synthesized from polyadenylated RNA using a RevertAid™ First Strand cDNA Synthesis kit (Fermentas Inc., Glen Burnie, MD, US) in a 20-μL reverse transcription reaction mixture containing 2 μg of total RNA, following the manufacturer’s instructions.

Quantitative real-time PCR

Since the four coding splice variants of the BAX gene encode proapoptotic protein isoforms, we chose to quantify them altogether, thus excluding from the quantification the non-coding splice variant of BAX which constitutes a nonsense-mediated mRNA decay candidate. Consequently, the primers were designed so as to generate a common (single) amplicon of 195 bp for all four protein-coding BAX transcripts. The sequences of the BAX primers were: 5’-TGGCAGCTGACATGTTTTCTGAC-3’ and 5’-TCACCCAACCACCCTGGTCTT-3’ , while the sequences of the GAPDH primers were: 5-ATGGGGAAGGTGAAGGTCG-3’ and 5’-GGGTCATTGATGGCAACAATATC-3’ , resulting in a 107-bp PCR amplicon. qRT-PCR was performed using the SYBR Green chemistry, according to the manufacturer’s instructions, in a 10-μL reaction mixture containing 10 ng of cDNA. PCR runs and melting temperature analysis were carried out in a 7500 Real Time PCR System (Applied Biosystems, Foster City, CA, US). Each reaction was performed in duplicate, in order to evaluate the reproducibility of data.

Calculations were made using the comparative CT (2-∆∆CT) method, the application of which is based on the assumption that PCR efficiencies of the target gene and the endogenous control are very similar and quite 100% [33]. These prerequisites were checked in a validation experiment, as previously described [34]. GAPDH served as an endogenous control, while the leukemic cell line HL-60, in which BAX is expressed, was used as a calibrator, for the normalization of distinct PCR runs. Normalized results were expressed as arbitrary units (a.u.), which stand for the ratio of BΑΧ mRNA copies to 1000 GAPDH mRNA copies, calculated for each nasopharyngeal tissue biopsy, and in relation to the same ratio calculated for HL-60 cells.

Statistical analysis

Owing to the non-Gaussian distribution of the expression levels of BAX in the NPC patients, analyses of the differences in BAX expression levels between malignant and non-malignant nasopharyngeal tissue biopsies were performed with the use of the non-parametric Mann–Whitney U test.

Transformation of continuous variables into discrete ones, usually dichotomous, is often very useful in laboratory medicine, as it enables stratification of patients into high versus low risk categories. To date, several methods are used to generate cutpoints, including biological determination, splitting at the median, and determination of the cutpoint that maximizes effect difference between groups. If the latter method (the so-called “optimal P-value” approach) is used, a dramatic inflation of type-I error rates can result [35]. A recently developed algorithm, X-tile, allows determination of an optimal cutpoint while correcting for the use of minimum P-value statistics [36]. As there are no established cutpoints available for BAX expression in NPC, the X-tile algorithm was used to generate an optimal cutoff for categorization of BAX mRNA expression. Thus, an optimal cutoff of 0.43 a.u. was generated, equal to the 40th percentile.

According to the previously mentioned cutoff, BAX mRNA expression was classified as positive or negative, and associations between BAX expression status and other qualitative clinicopathological variables were analyzed using either the chi-square (Χ2) or the Fisher’s exact test, where appropriate.

Furthermore, univariate and multivariate Cox regression models were developed to evaluate the association between the prognostic markers and the relative risks for relapse and death of patients. Cox univariate regression analysis discloses the strength of the correlation between each clinicopathological parameter and disease-free survival (DFS) or overall survival (OS) [37]. The multivariate Cox regression models incorporated BAX mRNA expression and were adjusted for disease stage and histology. Survival analyses were also performed by constructing Kaplan-Meier DFS and OS curves, and their differences were evaluated using the log-rank (Mantel-Cox) test. The level of significance was defined at a probability value of less than 0.05 (P < 0.05).

Results

Clinical and biological features of NPC patients

Patients’ group consisted of 51 men and 37 women, and age at the time of diagnosis varied between 10.0 and 80.0 years, with a mean ± S.D. of 45.2 ± 17.9 and a median of 46.5. According to the AJCC classification system, 2 (2.3%) patient was diagnosed with stage I NPC, 12 (13.6%) with stage II, 22 (25.0%) with stage III, 12 (13.6%) with stage IV A, 13 (14.8%) with stage IV B, and 27 (30.7%) with stage IV C. Regarding the histology of the examined NPC biopsies, 46 out of 88 (52.3%) were of undifferentiated type and 42 (47.7%) were non-keratinizing carcinomas. Patients’ clinical and biological characteristics are summarized in Table 1.

Table 1 Clinical and biological characteristics of the NPC patients

Quantitative BAXmRNA expression analysis in nasopharyngeal tissue specimens

BAX mRNA levels in NPC biopsies ranged from 0.008 to 86.96 a.u. with a median of 0.57, whereas BAX mRNA expression in hyperplastic nasopharyngeal tissues varied between 12.58 and 88.77 a.u., with a median of 77.68 (Figure 1). Differences between these two groups were evaluated using the non-parametric Mann–Whitney U test, thus revealing a significant downregulation of BAX mRNA in biopsies collected from NPC patients (P < 0.001).

Figure 1
figure 1

Comparison of the distribution of BAX mRNA expression in malignant nasopharyngeal tumors and hyperplastic nasopharyngeal tissues. BAX transcripts encoding proapoptotic protein isoforms are far less abundant in NPC specimens than in hyperplastic tissue biopsies (P < 0.001). The P value was calculated using the non-parametric Mann–Whitney U test. The dark line near the middle of each box indicates the 50th percentile (the median value) of each group, the bottom and top of each box represent the 25th and 75th percentile, respectively, and whiskers extend to 1.5 times the height of the box; the points represent outliers, while the asterisks show extreme outliers.

Association of BAXmRNA expression status with patients’ clinicopathological variables

BAX mRNA expression was classified into two categories (positive or negative), as described in the “Methods” section. Therefore, of 88 NPC biopsies examined, 35 (39.8%) were classified as positive for BAX expression and 53 (60.2%) as negative. Table 2 presents the association between BAX mRNA expression status of the NPC biopsies with various clinicopathological parameters, as well as with patients’ gender and age. BAX positivity was more frequently observed in nasopharyngeal tumors of small tumor extent (T1 and T2) rather than in more extended NPC (T3 or T4; P = 0.014). Furthermore, regional lymph node status was found to be significantly associated with BAX mRNA expression status, as NPC patients with regional lymph node metastasis or unilateral metastasis in lymph nodes smaller than 6 cm in greatest dimension (N1) were more often BAX-positive, compared to patients with NPC classified as N2 or N3 (P = 0.024). Positive BAX mRNA expression status was also related to the absence of distant metastases (P = 0.018). Remarkable associations were not observed between BAX mRNA expression status and tumor histology, patients’ gender, or age at the time of diagnosis.

Table 2 Relationships between BAX mRNA expression status and other clinicopathological variables

BAXmRNA expression status as a favorable prognosticator for the disease-free survival of NPC patients

Regarding DFS, out of 69 NPC patients for whom follow-up information was available, 28 patients (40.6%) relapsed during the respective follow-up periods. In Cox univariate regression analysis (Table 3), a 3.5-fold lower risk of recurrence was predicted for NPC patients bearing tumors with negative BAX mRNA expression status (hazard ratio [HR] = 0.28, 95% confidence interval [95% CI] = 0.13-0.62, P = 0.001). Therefore, in addition to tumor extent and TNM stage that were confirmed as significant predictors of DFS (P = 0.046 and P < 0.001, respectively), BAX gene expression at the mRNA level was shown to predict longer DFS in NPC. In order to evaluate BAX mRNA expression in terms of predicting survival outcome, we also performed Kaplan-Meier survival analysis. In accordance with the aforementioned results, Kaplan-Meier DFS curves illustrated that NPC patients with BAX-positive tumors had significantly longer DFS (P = 0.001), in comparison with those who had a BAX-negative malignant nasopharyngeal neoplasm (Figure 2A).

Table 3 BAX mRNA expression and NPC patients’ survival
Figure 2
figure 2

Kaplan-Meier curves for disease-free survival (DFS) and overall survival (OS) of nasopharyngeal carcinoma (NPC) patients with BAX mRNA-positive and -negative nasopharyngeal tumors. BAX mRNA expression status possesses a favorable prognostic value in NPC, as patients with BAX mRNA-positive nasopharyngeal tumors have significantly longer DFS (P = 0.001) (A) and OS (P < 0.001) (B), compared to NPC patients with BAX mRNA-negative tumors.

In the multivariate survival analysis (Table 3), BAX mRNA expression remained a statistically significant predictor of longer DFS in NPC, independent of patients’ gender, age, tumor histology, tumor extent, and regional lymph node status, as patients with BAX mRNA-positive tumors were more prone to relapse (HR = 0.35, 95% CI = 0.15–0.86, P = 0.022). However, when the TNM stage was included in the developed multivariate Cox regression model, BAX mRNA expression was not shown to have any additional prognostic impact.

BAXmRNA expression status as an independent predictor of favorable overall survival of NPC patients

With regard to OS, out of 69 NPC patients for whom follow-up data were available, 27 patients (39.1%) died during the respective follow-up periods. As demonstrated by Cox univariate regression analysis (Table 3), NPC patients with BAX mRNA-positive nasopharyngeal tumors were at lower risk of death (HR = 0.27, 95% CI = 0.12–0.59, P = 0.001), compared to NPC patients whose biopsies were BAX-negative. Consequently, enhanced BAX mRNA expression seems to be a favorable prognosticator of OS, as well. Tumor extent and TNM stage were also significant prognosticators of OS (P = 0.034 and P < 0.001, respectively), as expected. In agreement with these results, Kaplan-Meier OS curves demonstrated that NPC patients with BAX-positive malignant neoplasms were more likely to succumb to their disease later than patients with BAX-negative nasopharyngeal tumors (P < 0.001) (Figure 2B).

In the multivariate Cox regression analysis (Table 3), BAX mRNA expression predicted a significantly favorable prognostic outcome (HR = 0.33, 95% CI = 0.13–0.84, P = 0.020), independent of patients’ gender, age, tumor histology, tumor extent, and regional lymph node status. More importantly, BAX mRNA expression retained its independent prognostic significance in NPC (HR = 0.36, 95% CI = 0.16–0.84, P = 0.018) even when the multivariate Cox regression model was adjusted for patients’ gender, age, tumor histology, and TNM stage.

Prognostic value of BAXmRNA expression in NPC patients without distant metastases

Because metastasis-free (M0) patients are substantially different from those with metastases in distant organs (M1), in terms of their prognosis and postoperative treatment, Kaplan-Meier survival analysis was carried out to evaluate the effect of BAX mRNA expression on DFS and OS for metastasis-free NPC patients. As depicted in Figure 3, M0 patients with BAX-positive malignant nasopharyngeal tumors had more favorable DFS and OS rates than did M0 patients with BAX-negative malignancies (P < 0.001 and P = 0.009, respectively).

Figure 3
figure 3

Kaplan-Meier survival curves for NPC patients without distant metastases. BAX mRNA expression status possesses a favorable prognostic value in these patients, as patients with BAX mRNA-positive nonmetastatic nasopharyngeal tumors have a significantly higher probability of DFS (P < 0.001) (A) and OS (P = 0.009) (B) anytime, in comparison with metastasis-free patients bearing BAX mRNA-negative tumors.

Discussion

Although radiotherapy and chemotherapy have improved survival rates of NPC patients [38], the prognosis for metastatic NPC remains poor, even when patients are treated with combined radiotherapy and chemotherapy; notably, recurrence rates are very high, up to 82% [39]. Unfortunately, the majority of NPC patients are diagnosed at an advanced stage, mostly due to the non-specific symptoms of the disease, to the delay in undergoing treatment after the onset of symptoms, and to the difficulty of being subjected to a thorough nasopharyngeal examination [40]. Consequently, supplementary work is needed to elucidate the molecular alterations being involved in NPC carcinogenesis, to discover reliable tissue biomarkers for NPC, and to develop novel, effective targeted therapeutic strategies against NPC.

The prognostic and predictive value of several genes and/or proteins in NPC has been assessed during the past decades. Among them, factors related to key cell functions such as cell cycle, growth, proliferation, and apoptosis, have drawn the most attention. A recent study revealed the prognostic significance of PTGS2 (COX2) mRNA expression; high levels of PTGS2 mRNA are associated with lymph node metastasis in NPC patients [41]. Furthermore, aberrant promoter methylation of RASSF1, RARB, and DAPK1 have been linked to advanced NPC, characterized by advanced stage and positive lymph nodes [42]. Guo et al. have noticed a remarkable decrease of DROSHA and DICER mRNA levels in NPC compared to healthy control samples, and shown that they are significantly related to shorter progression-free survival (PFS) and OS of NPC patients [43]. Cytokeratin-18 (KRT18), the dysregulation of which is supposed to play an important role in nasopharyngeal carcinogenesis, constitutes another potential biomarker for the differentiation and prognosis of NPC [44]. Furthermore, cytoplasmic heterogeneous nuclear ribonucleoprotein K (HNRNPK) and thymidine phosphorylase (TYMP) have been suggested as independent indicators of prognosis in NPC [45]. Additionally, low expression of the breast cancer metastasis suppressor 1 (BRMS1) gene – the product of which is a component of the mSin3a family of histone deacetylase (HDAC) complexes – was shown to enhance NPC metastasis both in vitro and in vivo, and to be associated with poor survival of NPC patients [46]. Numerous studies have also demonstrated the correlation of COP9 constitutive photomorphogenic homolog subunit 5 (COPS5) overexpression with poor prognosis in NPC [47].

The prognostic potential of apoptosis-signaling proteins such as BCL2-family members has been well documented so far in numerous human malignancies, including leukemias and lymphomas, hormone-dependent tumors, colorectal cancer, and head and neck cancer [11, 48]. It has even been suggested that systems analysis of BCL2 protein family interactions can establish a model to predict chemotherapy response [49]. Regarding NPC, we have recently shown that mRNA expression status of BCL2 is strongly associated with lymph node involvement and presence of distant metastases in patients, and that it may therefore represent a novel unfavorable and independent tumor biomarker of this malignancy [50]. In accordance with these previous findings, overexpression of the antiapoptotic BCL2 protein, a modulator of lymph node metastasis of NPC cells [51], predicts advanced-stage NPC with satisfactory accuracy [52]. Surprisingly enough, another study showed a better clinical outcome for BCL2-positive NPC patients. A putative explanation for this seemingly contradictory finding could be the tumor histological type, as BCL2 protein expression is significantly associated to undifferentiated NPC [53]. Another reason could be the fact that BCL2 can sometimes exert a proapoptotic function. Although BCL2 at low expression levels in gliomas is antiapoptotic, high levels of BCL2 facilitate FASLG-mediated apoptosis in this cancer type [54]. Furthermore, cleavage of BCL2 by caspases enhances the activation of downstream caspases and contributes to amplification of the caspase proteolytic cascade [55]. BCL2 can also be converted into a proapoptotic protein by the nuclear receptor subfamily 4, group A, member 1 (NR4A1) [56, 57]. According to our previously published results, BCL2L12 mRNA expression is also associated with unfavorable prognosis in NPC patients and may represent a novel molecular biomarker for the prediction of short-term relapse in NPC. Moreover, BCL2L12 overexpression is likely to account for resistance of NPC patients with advanced-stage disease to chemotherapeutic and irradiation treatment [58].

BAX is a key proapoptotic molecule in the intrinsic apoptotic pathway, as its insertion into the mitochondrial membrane triggers the release of cytochrome C into the cytosol, leading to caspase activation and to subsequent cell apoptosis [59]. In the current study, expression analysis of the proapoptotic BAX gene in NPC and in hyperplastic nasopharyngeal tissue biopsies revealed a significant downregulation of BAX mRNA levels in the former, in comparison to the latter. This finding along with the fact that the BAX inhibitor TMBIM6 mediates resistance to apoptosis in human NPC cells [60] directly imply that dysregulation of BAX is implicated in nasopharyngeal carcinogenesis. Furthermore, our results demonstrate that BAX mRNA expression is significantly associated with various clinicopathological parameters, including primary tumor extent, regional lymph node status, and presence of distant metastases. In particular, BAX mRNA was diminished in advanced-stage (T3 and T4) nasopharyngeal tumors and/or metastatic tumors, accompanied either by a number of positive regional lymph nodes only, or also by infiltration of distal organs. At this point, it should be noted that advanced stages of the disease have been correlated to high plasma/serum EBV DNA titers [61]. The apparent downregulation of BAX is probably attributed to the EBV latent membrane protein 1 (LMP1). This antiapoptotic protein was shown to protect B-cells from apoptosis by inhibition of BAX transcription through activation of the NFKB (P50/P65 heterodimer), which reduces BAX promoter activity [62].

Our survival analysis uncovered the potential of BAX mRNA expression status as a strong favorable predictor of DFS and OS in NPC. Cox proportional hazard regression analysis confirmed that BAX is a significant independent prognostic factor in NPC, as patients with BAX-positive nasopharyngeal tumors were at a reduced risk of relapse and death, independently of their gender, age, tumor histology, tumor extent, and nodal status. Perhaps even more important was the finding that NPC patients without distant metastases are less likely to relapse when their tumor is BAX mRNA-positive, compared to metastasis-free patients with a BAX-negative nasopharyngeal malignancy. To the best of our knowledge, this is the first study examining the prognostic value of BAX in NPC. However, the favorable prognostic role of BAX has already been shown in other head and neck malignancies, such as oral squamous cell carcinoma and esophageal cancer. In particular, high BAX expression is significantly associated with elevated MKI67 (proliferation-related Ki-67 antigen) expression, suggesting that increased proliferation might lead to an improved response to radiotherapy in patients with elevated BAX protein levels [63]. Furthermore, the BAX/BCL2 ratio was shown to predict response to neoadjuvant radiochemotherapy in patients with advanced squamous-cell esophageal cancer [64].

Conclusion

To the best of our knowledge, this is the first time that this gene is studied in NPC. Our results suggest that BAX mRNA expression is related to favorable prognosis in NPC and that it may represent a novel, useful tissue biomarker for the prediction of short-term relapse and overall survival of NPC patients. BAX overexpression may also account for sensitization of NPC patients with advanced-stage disease to chemotherapeutic and irradiation treatment. Undoubtedly, future studies are needed to elucidate the functional role of BAX in nasopharyngeal tumors. Moreover, it would be very tempting to develop an ELISA-based methodology for the quantification of BAX protein levels in NPC specimens, in order to investigate the putative prognostic value of the BAX protein in NPC and to evaluate further the potential of this molecular biomarker in NPC patients. Differences in quantities of apoptosis-related proteins including BAX could also be exploited in the development of multivariate models aiming at predicting patients’ response to chemotherapy. Hence, NPC patients could benefit from tailor-made chemotherapeutic treatment.

Abbreviations

BAX:

BCL2-associated X

BH:

BCL2-homology

NPC:

Nasopharyngeal carcinoma

EBV:

Epstein-Barr virus

HBV:

Hepatitis B virus

HCV:

Chepatitis C virus

HPV:

Human papillomavirus

HNSCC:

Head and neck squamous cell carcinoma

qRT-PCR:

Quantitative real-time polymerase chain reaction

TNM:

Tumor node, metastasis

AJCC:

American Joint Committee on Cancer

UICC:

Union for international cancer control

cDNA:

DNA complementary to RNA

RNase:

Ribonuclease

oligo(dT):

Oligodeoxythymidine

DTT:

Dithiothreitol

dNTP:

Deoxyribonucleoside triphosphate

GAPDH:

Glyceraldehyde-3-phosphate dehydrogenase

a.u:

Arbitrary units

DFS:

Disease-free survival

OS:

Overall survival

HR:

Hazard ratio

CI:

Confidence interval

HNRNPK:

Heterogeneous nuclear ribonucleoprotein K

TYMP:

Thymidine phosphorylase

BRMS1:

Breast cancer metastasis suppressor 1

HDAC:

Histone deacetylase

COPS5:

Constitutive photomorphogenic homolog subunit 5

FASLG:

Fas ligand

NR4A1:

Nuclear receptor subfamily 4 group A, member 1.

References

  1. Kerr JF, Wyllie AH, Currie AR: Apoptosis: a basic biological phenomenon with wide-ranging implications in tissue kinetics. Br J Cancer. 1972, 26 (4): 239-257. 10.1038/bjc.1972.33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Reed JC: Dysregulation of apoptosis in cancer. J Clin Oncol. 1999, 17 (9): 2941-2953.

    CAS  PubMed  Google Scholar 

  3. Evan GI, Vousden KH: Proliferation, cell cycle and apoptosis in cancer. Nature. 2001, 411 (6835): 342-348. 10.1038/35077213.

    Article  CAS  PubMed  Google Scholar 

  4. Reed JC: Mechanisms of apoptosis. Am J Pathol. 2000, 157 (5): 1415-1430. 10.1016/S0002-9440(10)64779-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Zimmermann KC, Bonzon C, Green DR: The machinery of programmed cell death. Pharmacol Ther. 2001, 92 (1): 57-70. 10.1016/S0163-7258(01)00159-0.

    Article  CAS  PubMed  Google Scholar 

  6. Adams JM, Cory S: The Bcl-2 protein family: arbiters of cell survival. Science. 1998, 281 (5381): 1322-1326.

    Article  CAS  PubMed  Google Scholar 

  7. Petros AM, Olejniczak ET, Fesik SW: Structural biology of the Bcl-2 family of proteins. Biochim Biophys Acta. 2004, 1644 (2–3): 83-94.

    Article  CAS  PubMed  Google Scholar 

  8. Youle RJ, Strasser A: The BCL-2 protein family: opposing activities that mediate cell death. Nat Rev Mol Cell Biol. 2008, 9 (1): 47-59. 10.1038/nrm2308.

    Article  CAS  PubMed  Google Scholar 

  9. Korsmeyer SJ, Shutter JR, Veis DJ, Merry DE, Oltvai ZN: Bcl-2/Bax: a rheostat that regulates an anti-oxidant pathway and cell death. Semin Cancer Biol. 1993, 4 (6): 327-332.

    CAS  PubMed  Google Scholar 

  10. Shinoura N, Yoshida Y, Asai A, Kirino T, Hamada H: Relative level of expression of Bax and Bcl-XL determines the cellular fate of apoptosis/necrosis induced by the overexpression of Bax. Oncogene. 1999, 18 (41): 5703-5713. 10.1038/sj.onc.1202966.

    Article  CAS  PubMed  Google Scholar 

  11. Thomadaki H, Scorilas A: BCL2 family of apoptosis-related genes: functions and clinical implications in cancer. Crit Rev Clin Lab Sci. 2006, 43 (1): 1-67. 10.1080/10408360500295626.

    Article  CAS  PubMed  Google Scholar 

  12. Yip KW, Reed JC: Bcl-2 family proteins and cancer. Oncogene. 2008, 27 (50): 6398-6406. 10.1038/onc.2008.307.

    Article  CAS  PubMed  Google Scholar 

  13. Oltvai ZN, Milliman CL, Korsmeyer SJ: Bcl-2 heterodimerizes in vivo with a conserved homolog, Bax, that accelerates programmed cell death. Cell. 1993, 74 (4): 609-619. 10.1016/0092-8674(93)90509-O.

    Article  CAS  PubMed  Google Scholar 

  14. Suzuki M, Youle RJ, Tjandra N: Structure of Bax: coregulation of dimer formation and intracellular localization. Cell. 2000, 103 (4): 645-654. 10.1016/S0092-8674(00)00167-7.

    Article  CAS  PubMed  Google Scholar 

  15. Zha H, Aime-Sempe C, Sato T, Reed JC: Proapoptotic protein Bax heterodimerizes with Bcl-2 and homodimerizes with Bax via a novel domain (BH3) distinct from BH1 and BH2. J Biol Chem. 1996, 271 (13): 7440-7444. 10.1074/jbc.271.13.7440.

    Article  CAS  PubMed  Google Scholar 

  16. Oltvai ZN, Korsmeyer SJ: Checkpoints of dueling dimers foil death wishes. Cell. 1994, 79 (2): 189-192. 10.1016/0092-8674(94)90188-0.

    Article  CAS  PubMed  Google Scholar 

  17. Yin XM, Oltvai ZN, Korsmeyer SJ: BH1 and BH2 domains of Bcl-2 are required for inhibition of apoptosis and heterodimerization with Bax. Nature. 1994, 369 (6478): 321-323. 10.1038/369321a0.

    Article  CAS  PubMed  Google Scholar 

  18. Meijerink JP, Mensink EJ, Wang K, Sedlak TW, Sloetjes AW, De Witte T, Waksman G, Korsmeyer SJ: Hematopoietic malignancies demonstrate loss-of-function mutations of BAX. Blood. 1998, 91 (8): 2991-2997.

    CAS  PubMed  Google Scholar 

  19. Chan AT, Teo PM, Johnson PJ: Nasopharyngeal carcinoma. Ann Oncol. 2002, 13 (7): 1007-1015. 10.1093/annonc/mdf179.

    Article  CAS  PubMed  Google Scholar 

  20. Vokes EE, Liebowitz DN, Weichselbaum RR: Nasopharyngeal carcinoma. Lancet. 1997, 350 (9084): 1087-1091. 10.1016/S0140-6736(97)07269-3.

    Article  CAS  PubMed  Google Scholar 

  21. Wei WI, Sham JS: Nasopharyngeal carcinoma. Lancet. 2005, 365 (9476): 2041-2054. 10.1016/S0140-6736(05)66698-6.

    Article  PubMed  Google Scholar 

  22. Busson P, Keryer C, Ooka T, Corbex M: EBV-associated nasopharyngeal carcinomas: from epidemiology to virus-targeting strategies. Trends Microbiol. 2004, 12 (8): 356-360. 10.1016/j.tim.2004.06.005.

    Article  CAS  PubMed  Google Scholar 

  23. Chang ET, Adami HO: The enigmatic epidemiology of nasopharyngeal carcinoma. Cancer Epidemiol Biomarkers Prev. 2006, 15 (10): 1765-1777. 10.1158/1055-9965.EPI-06-0353.

    Article  CAS  PubMed  Google Scholar 

  24. Feng BJ, Jalbout M, Ayoub WB, Khyatti M, Dahmoul S, Ayad M, Maachi F, Bedadra W, Abdoun M, Mesli S, et al: Dietary risk factors for nasopharyngeal carcinoma in Maghrebian countries. Int J Cancer. 2007, 121 (7): 1550-1555. 10.1002/ijc.22813.

    Article  CAS  PubMed  Google Scholar 

  25. Lo KW, To KF, Huang DP: Focus on nasopharyngeal carcinoma. Cancer Cell. 2004, 5 (5): 423-428. 10.1016/S1535-6108(04)00119-9.

    Article  CAS  PubMed  Google Scholar 

  26. Nicholls JM, Agathanggelou A, Fung K, Zeng X, Niedobitek G: The association of squamous cell carcinomas of the nasopharynx with Epstein-Barr virus shows geographical variation reminiscent of Burkitt's lymphoma. J Pathol. 1997, 183 (2): 164-168. 10.1002/(SICI)1096-9896(199710)183:2<164::AID-PATH919>3.0.CO;2-J.

    Article  CAS  PubMed  Google Scholar 

  27. Khabir A, Sellami A, Sakka M, Ghorbel AM, Daoud J, Frikha M, Drira MM, Busson P, Jlidi R: Contrasted frequencies of p53 accumulation in the two age groups of North African nasopharyngeal carcinomas. Clin Cancer Res. 2000, 6 (10): 3932-3936.

    CAS  PubMed  Google Scholar 

  28. Daoud J, Toumi N, Bouaziz M, Ghorbel A, Jlidi R, Drira MM, Frikha M: Nasopharyngeal carcinoma in childhood and adolescence: analysis of a series of 32 patients treated with combined chemotherapy and radiotherapy. Eur J Cancer. 2003, 39 (16): 2349-2354. 10.1016/S0959-8049(03)00512-4.

    Article  CAS  PubMed  Google Scholar 

  29. Cammoun M, Hoerner V, Mourali N: Tumors of the nasopharynx in Tunisia. An anatomic and clinical study based on 143 cases. Cancer. 1974, 33 (1): 184-192. 10.1002/1097-0142(197401)33:1<184::AID-CNCR2820330127>3.0.CO;2-T.

    Article  CAS  PubMed  Google Scholar 

  30. Chan JY, Chow VL, Mok VW, Ho AC, Wei WI: Prediction of surgical outcome using plasma epstein-barr virus dna and (18) F-FDG PET-CT scan in recurrent nasopharyngeal carcinoma. Head Neck. 2012, 34 (4): 541-545. 10.1002/hed.21768.

    Article  PubMed  Google Scholar 

  31. Lin S, Tham IW, Pan J, Han L, Chen Q, Lu JJ: Combined High-dose Radiation Therapy and Systemic Chemotherapy Improves Survival in Patients With Newly Diagnosed Metastatic Nasopharyngeal Cancer. Am J Clin Oncol. 2012, 35 (5): 474-479. 10.1097/COC.0b013e31821a9452.

    Article  CAS  PubMed  Google Scholar 

  32. Tulalamba W, Janvilisri T: Nasopharyngeal carcinoma signaling pathway: an update on molecular biomarkers. International journal of cell biology. 2012, 2012: 594681-

    Article  PubMed  PubMed Central  Google Scholar 

  33. Livak KJ, Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001, 25 (4): 402-408. 10.1006/meth.2001.1262.

    Article  CAS  PubMed  Google Scholar 

  34. Korbakis D, Scorilas A: Treatment of gastric cancer cells with 5-fluorouracil/leucovorin and irinotecan induces distinct alterations in the mRNA expression of the apoptosis-related genes, including the novel gene BCL2L12. Tumour Biol. 2009, 30 (2): 100-107. 10.1159/000218160.

    Article  CAS  PubMed  Google Scholar 

  35. Altman DG, Lausen B, Sauerbrei W, Schumacher M: Dangers of using "optimal" cutpoints in the evaluation of prognostic factors. J Natl Cancer Inst. 1994, 86 (11): 829-835. 10.1093/jnci/86.11.829.

    Article  CAS  PubMed  Google Scholar 

  36. Camp RL, Dolled-Filhart M, Rimm DL: X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization. Clin Cancer Res. 2004, 10 (21): 7252-7259. 10.1158/1078-0432.CCR-04-0713.

    Article  CAS  PubMed  Google Scholar 

  37. Cox DR: Regression models and life tables. R Stat Soc B. 1972, 34: 187-202.

    Google Scholar 

  38. Al-Sarraf M, LeBlanc M, Giri PG, Fu KK, Cooper J, Vuong T, Forastiere AA, Adams G, Sakr WA, Schuller DE, et al: Chemoradiotherapy versus radiotherapy in patients with advanced nasopharyngeal cancer: phase III randomized Intergroup study 0099. J Clin Oncol. 1998, 16 (4): 1310-1317.

    CAS  PubMed  Google Scholar 

  39. Cheng SH, Tsai SY, Yen KL, Jian JJ, Chu NM, Chan KY, Tan TD, Cheng JC, Hsieh CY, Huang AT: Concomitant radiotherapy and chemotherapy for early-stage nasopharyngeal carcinoma. J Clin Oncol. 2000, 18 (10): 2040-2045.

    CAS  PubMed  Google Scholar 

  40. Pan Y, Claret FX: Targeting Jab1/CSN5 in nasopharyngeal carcinoma. Cancer Lett. 2012, 326 (2): 155-160. 10.1016/j.canlet.2012.07.033.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Fendri A, Khabir A, Hadhri-Guiga B, Sellami-Boudawara T, Ghorbel A, Daoud J, Frikha M, Jlidi R, Gargouri A, Mokdad-Gargouri R: Overexpression of COX-2 and LMP1 are correlated with lymph node in Tunisian NPC patients. Oral Oncol. 2008, 44 (7): 710-715. 10.1016/j.oraloncology.2007.09.006.

    Article  CAS  PubMed  Google Scholar 

  42. Fendri A, Masmoudi A, Khabir A, Sellami-Boudawara T, Daoud J, Frikha M, Ghorbel A, Gargouri A, Mokdad-Gargouri R: Inactivation of RASSF1A, RARbeta2 and DAP-kinase by promoter methylation correlates with lymph node metastasis in nasopharyngeal carcinoma. Cancer Biol Ther. 2009, 8 (5): 444-451. 10.4161/cbt.8.5.7686.

    Article  CAS  PubMed  Google Scholar 

  43. Guo X, Liao Q, Chen P, Li X, Xiong W, Ma J, Luo Z, Tang H, Deng M, Zheng Y, et al: The microRNA-processing enzymes: Drosha and Dicer can predict prognosis of nasopharyngeal carcinoma. J Cancer Res Clin Oncol. 2012, 138 (1): 49-56. 10.1007/s00432-011-1058-1.

    Article  CAS  PubMed  Google Scholar 

  44. Li XM, Huang WG, Yi H, Cheng AL, Xiao ZQ: Proteomic analysis to identify cytokeratin 18 as a novel biomarker of nasopharyngeal carcinoma. J Cancer Res Clin Oncol. 2009, 135 (12): 1763-1775. 10.1007/s00432-009-0623-3.

    Article  CAS  PubMed  Google Scholar 

  45. Chen LC, Hsueh C, Tsang NM, Liang Y, Chang KP, Hao SP, Yu JS, Chang YS: Heterogeneous ribonucleoprotein k and thymidine phosphorylase are independent prognostic and therapeutic markers for nasopharyngeal carcinoma. Clin Cancer Res. 2008, 14 (12): 3807-3813. 10.1158/1078-0432.CCR-08-0155.

    Article  CAS  PubMed  Google Scholar 

  46. Cui RX, Liu N, He QM, Li WF, Huang BJ, Sun Y, Tang LL, Chen M, Jiang N, Chen L, et al: Low BRMS1 expression promotes nasopharyngeal carcinoma metastasis in vitro and in vivo and is associated with poor patient survival. BMC Cancer. 2012, 12 (1): 376-10.1186/1471-2407-12-376.

    Article  CAS  PubMed  Google Scholar 

  47. Shackleford TJ, Claret FX: JAB1/CSN5: a new player in cell cycle control and cancer. Cell division. 2010, 5: 26-10.1186/1747-1028-5-26.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Hector S, Prehn JH: Apoptosis signaling proteins as prognostic biomarkers in colorectal cancer: a review. Biochim Biophys Acta. 2009, 1795 (2): 117-129.

    CAS  PubMed  Google Scholar 

  49. Lindner AU, Concannon CG, Boukes GJ, Cannon MD, Llambi F, Ryan D, Boland K, Kehoe J, McNamara DA, Murray F, et al: Systems analysis of BCL2 protein family interactions establishes a model to predict responses to chemotherapy. Cancer Res. 2013, 73 (2): 519-528. 10.1158/0008-5472.CAN-12-2269.

    Article  CAS  PubMed  Google Scholar 

  50. Fendri A, Kontos CK, Khabir A, Mokdad-Gargouri R, Ardavanis A, Scorilas A: Quantitative analysis of BCL2 mRNA expression in nasopharyngeal carcinoma: an unfavorable and independent prognostic factor. Tumour Biol. 2010, 31 (5): 391-399. 10.1007/s13277-010-0047-3.

    Article  CAS  PubMed  Google Scholar 

  51. Chen MK, Yang SF, Lai JC, Yeh KT, Yang JS, Chen LS, Chen HC: Expression of bcl-2 correlates with poor prognosis and modulates migration of nasopharyngeal carcinoma cells. Clin Chim Acta. 2010, 411 (5–6): 400-405.

    Article  CAS  PubMed  Google Scholar 

  52. Chen MK, Lai JC, Chang CC, Chang JH, Chang YJ, Chen HC: Prognostic impact of bcl-2 expression on advanced nasopharyngeal carcinoma. Head Neck. 2008, 30 (8): 1052-1057. 10.1002/hed.20839.

    Article  PubMed  Google Scholar 

  53. Vera-Sempere FJ, Burgos JS, Botella MS, Morera C: Immunohistochemical expression of Bcl-2 oncoprotein in EBV-associated nasopharyngeal carcinoma correlated to histological type and survival. Histol Histopathol. 1997, 12 (1): 9-18.

    CAS  PubMed  Google Scholar 

  54. Shinoura N, Yoshida Y, Nishimura M, Muramatsu Y, Asai A, Kirino T, Hamada H: Expression level of Bcl-2 determines anti- or proapoptotic function. Cancer Res. 1999, 59 (16): 4119-4128.

    CAS  PubMed  Google Scholar 

  55. Cheng EH, Kirsch DG, Clem RJ, Ravi R, Kastan MB, Bedi A, Ueno K, Hardwick JM: Conversion of Bcl-2 to a Bax-like death effector by caspases. Science. 1997, 278 (5345): 1966-1968. 10.1126/science.278.5345.1966.

    Article  CAS  PubMed  Google Scholar 

  56. Kolluri SK, Zhu X, Zhou X, Lin B, Chen Y, Sun K, Tian X, Town J, Cao X, Lin F, et al: A short Nur77-derived peptide converts Bcl-2 from a protector to a killer. Cancer Cell. 2008, 14 (4): 285-298. 10.1016/j.ccr.2008.09.002.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Lin B, Kolluri SK, Lin F, Liu W, Han YH, Cao X, Dawson MI, Reed JC, Zhang XK: Conversion of Bcl-2 from protector to killer by interaction with nuclear orphan receptor Nur77/TR3. Cell. 2004, 116 (4): 527-540. 10.1016/S0092-8674(04)00162-X.

    Article  CAS  PubMed  Google Scholar 

  58. Fendri A, Kontos CK, Khabir A, Mokdad-Gargouri R, Scorilas A: BCL2L12 is a novel biomarker for the prediction of short-term relapse in nasopharyngeal carcinoma. Mol Med. 2011, 17 (3–4): 163-171.

    CAS  PubMed  Google Scholar 

  59. Reed JC: Balancing cell life and death: bax, apoptosis, and breast cancer. J Clin Invest. 1996, 97 (11): 2403-2404. 10.1172/JCI118684.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Zhang M, Li X, Zhang Y, Zhou K: Bax inhibitor-1 mediates apoptosis-resistance in human nasopharyngeal carcinoma cells. Mol Cell Biochem. 2010, 333 (1–2): 1-7.

    CAS  PubMed  Google Scholar 

  61. Lo YM, Chan LY, Lo KW, Leung SF, Zhang J, Chan AT, Lee JC, Hjelm NM, Johnson PJ, Huang DP: Quantitative analysis of cell-free Epstein-Barr virus DNA in plasma of patients with nasopharyngeal carcinoma. Cancer Res. 1999, 59 (6): 1188-1191.

    CAS  PubMed  Google Scholar 

  62. Grimm T, Schneider S, Naschberger E, Huber J, Guenzi E, Kieser A, Reitmeir P, Schulz TF, Morris CA, Sturzl M: EBV latent membrane protein-1 protects B cells from apoptosis by inhibition of BAX. Blood. 2005, 105 (8): 3263-3269. 10.1182/blood-2004-07-2752.

    Article  CAS  PubMed  Google Scholar 

  63. Bose P, Klimowicz AC, Kornaga E, Petrillo SK, Waynematthews T, Chandarana S, Magliocco AM, Brockton NT, Dort JC: Bax expression measured by AQUA analysis is an independent prognostic marker in oral squamous cell carcinoma. BMC Cancer. 2012, 12 (1): 332-10.1186/1471-2407-12-332.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Farkas R, Pozsgai E, Bellyei S, Cseke L, Szigeti A, Vereczkei A, Marton S, Mangel L, Horvath OP, Papp A: Correlation between tumor-associated proteins and response to neoadjuvant treatment in patients with advanced squamous-cell esophageal cancer. Anticancer Res. 2011, 31 (5): 1769-1775.

    CAS  PubMed  Google Scholar 

Pre-publication history

Download references

Acknowledgements

This work was financially supported by the Commission of the European Community through the INsPiRE project (EU-FP7-REGPOT-2011-1, proposal 284460).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andreas Scorilas.

Additional information

Competing interest

The authors declare that they have no competing interests.

Authors’ contributions

CKK carried out part of the experimental work, collected and analyzed data, performed the statistical analysis, interpreted the results, and drafted the manuscript. AF carried out most of the experimental work and drafted the manuscript. AK designed the study, collected patients’ material and follow-up data. RMG designed the study and revised critically the manuscript. AS conceived of the study, coordinated the study, and revised critically the manuscript. All authors read and approved the final manuscript.

Christos K Kontos, Ali Fendri contributed equally to this work.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Authors’ original file for figure 2

Authors’ original file for figure 3

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Kontos, C.K., Fendri, A., Khabir, A. et al. Quantitative expression analysis and prognostic significance of the BCL2-associated Xgene in nasopharyngeal carcinoma: a retrospective cohort study. BMC Cancer 13, 293 (2013). https://doi.org/10.1186/1471-2407-13-293

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2407-13-293

Keywords