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. 2017 Dec 9;8(69):114019–114030. doi: 10.18632/oncotarget.23109

A link between RelB expression and tumor progression in laryngeal cancer

Ioanna Giopanou 1, Ioannis Lilis 1, Helen Papadaki 2, Theodoros Papadas 3,*, Georgios T Stathopoulos 1,4,*
PMCID: PMC5768382  PMID: 29371965

Abstract

Laryngeal cancer is a frequent malignancy originating from the squamous vocal epithelium in a multi-stage fashion in response to environmental carcinogens. Although most cases can be cured by surgery and/or radiotherapy, advanced and relapsing disease is common, and biomarkers of such dismal cases are urgently needed. The cancer genome of laryngeal cancers was recently shown to feature a signature of aberrant nuclear factor (NF)-κB activation, but this finding has not been clinically exploited. We analyzed primary tumor samples of 96 well-documented and longitudinally followed patients covering the whole spectrum of laryngeal neoplasia, including 21 patients with benign laryngeal diseases, 15 patients with dysplasia, 43 patients with early-stage carcinoma, and 17 patients with locally advanced carcinoma, for immunoreactivity of RelA, RelB, P50, and P52/P100, the main NF-κB subunits that activate transcription. Results were cross-examined with indices of tumor progression and survival. Interestingly, RelB expression increased with tumor stage, grade, and local extent. Moreover, patients displaying high RelB immunoreactivity exhibited statistically significantly poorer survival compared with patients featuring low levels of RelB expression (P = 0.018 by log-rank test). Using Cox regression analyses and tumor stage, local extent, grade and RelA/RelB immunoreactivity, we develop a new score that can independently predict survival of patients with laryngeal cancer. Hence we provide a simple and affordable NF-κB-based test to predict prognosis in laryngeal cancer.

Keywords: head and neck squamous cell carcinoma, nuclear factor (NF)-κB, biomarker, immunohistochemistry, prognosis

INTRODUCTION

Laryngeal cancer is the most frequent head and neck squamous cell carcinoma (HNSCC) with constantly decreasing five-year survival rates [1, 2]. Although surgery and radiotherapy provide for long-term survival, a large fraction of newly diagnosed patients display already advanced disease, while a significant proportion of treated patients will relapse post-therapy, culminating in half of the patients eventually succumbing to the disease [3]. Although the prospective identification of these patients that anticipate a poor prognosis is desirable, this currently relies on preoperative and surgical staging, while biomarkers of aggressive disease are unavailable, and risk factors implicated in the pathogenesis, such as tobacco smoking, alcohol consumption, asbestos, dietary factors, and viral infection are of limited clinical utility [4–8].

A recent multi-platform analysis of the comprehensive genomes of 279 HNSCCs that included 72 laryngeal carcinomas identified aberrant activation of nuclear factor (NF)-κΒ as critical in the pathogenesis and for the development of new therapies [9]. NF-κB is mainly activated by nuclear translocation and activation of transcription by one or more of four subunits: RelA, RelB, P50, and P52/P100. These ubiquitous proteins form cytoplasmic homo- or heterodimers bound to inhibitors of NF-κB (ΙκΒ). Upon stimulation, IκB undergo phosphorylation by multiple IκB kinases (IKK), as well as ubiquitination and proteolytic degradation by the proteasome and other proteases, and release active NF-κB subunits which translocate to the nucleus and activate transcription [10]. There are two main pathways leading to NF-κB activation. The canonical pathway is mainly mediated by RelA/P50 and the non-canonical or alternative by RelB/P52 dimers [10–12]. NF-κB activation occurs after stimulation of benign cells by cytokines, bacteria or viruses, endotoxins, oxidative stress, irradiation, etc, but can be constitutive in cancer cells [13, 14]. Oncogenic NF-κB activity has been documented in several human cancers [15–18] and has been shown to be functionally involved in HNSCC progression [19–22]. However, a simple and cheap NF-κB-based test clinically useful to identify laryngeal cancer patients that face a poor prognosis is missing.

We used simple immunohistochemistry to analyze the expression of the four main NF-κB subunits on serial sections of primary tumor samples from 96 well-documented and longitudinally followed patients spanning the whole spectrum of laryngeal neoplasia. A simple, fast, and reproducible NF-κB scoring system that examines immunoreactivity intensity, extent, and nuclear localization was employed [23]. We show how using this clinically relevant approach, RelB expression was found to increase with tumor stage, grade, and local extent and to portend poor survival, establishing it as a useful biomarker of prognosis in laryngeal cancer.

RESULTS

A prospective cohort of laryngeal neoplasia

Ninety-six patients were prospectively enrolled in the study. All were Caucasian, 86 were male, and median (interquartile range) follow-up was 24 (16-34) months. Twenty-one had benign laryngeal disease, 15 had dysplasia, 43 had early-stage carcinoma, and 17 had locally advanced carcinoma (Figure 1A). The clinical and pathologic features of the study patients are summarized in Table 1. Overall median survival was > 12 years (undefined by Kaplan-Meier analysis), while 94, 93, 79, and 57 patients survived to 1, 2, 5, and 10 years post-diagnosis, respectively (Figure 1B). There was no impact of gender, age, smoking, and alcohol intake on survival (Figure 1C-1F). As expected, patients with carcinoma, TNM7 stage II-IV disease, and medium/high grade histology displayed shorter survival (Figure 1G-1I).

Figure 1. Study design and survival of 96 patients with benign and malignant laryngeal disease.

Figure 1

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(A) Schematic representation of patient clinicopathologic categories and their distribution across the spectrum of laryngeal neoplasia. (B) Overall Kaplan-Meier survival plot with 95% confidence interval. (C-I) Kaplan-Meier survival estimates of patients stratified by gender (C; female: n = 10; male: n = 86), age (D; ≤65 years: n=49; >65 years: n=47), smoking (E; ≤100 pack years: n= 37; >100 pack years: n= 59), alcohol (F; no: n= 48; yes: n= 48), clinicopathologic category (G; benign/dysplasia: n = 36; carcinoma: n = 60), TNM7 stage (H; I: n = 55; II-IV: n = 41), and tumor grade (I; none/low: n = 47; medium/high: n = 49). n, sample size; P, probability by log-rank test.

Table 1. Clinical-pathologic features of 96 patients with laryngeal cancer.

Benign laryngeal disease Dysplasia Early-stage carcinoma Locally advanced carcinoma
Gender
(male/female; n)		 13/8 15/0 42/1 16/1
Age
(years; range)		 24-75 48-76 53-90 49-88
Smoking
(never/ex/current; n)		 3/8/10 0/1/14 0/5/38 2/2/13
Alcohol intake
(no/yes; n)		 16/5 3/12 21/22 8/9
Tumor grade (n)
Not specified 21 15 2 1
Low 0 0 4 4
Intermediate 0 0 26 5
High 0 0 11 7
TNM7 stage(n)
Not applicable 21 15 0 0
I 0 0 18 1
II 9 9 11 2
III 0 0 10 8
IV 0 0 4 6
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Increased RelB and P50 expression in advanced laryngeal cancer

We next compared NF-κB subunit expression assessed by simple immunohistochemistry across our four study groups (clinicopathologic categories of benign laryngeal disease, dysplasia, biopsied carcinoma, and resected carcinoma). We found no significant differences in RelA and P100/P52 expression, but P50 was significantly increased in biopsied carcinomas and RelB in resected ones (Figure 2). A similar pattern was evident when patients were subgrouped according to TNM7 stage, with no differences being evident for RelA and P100/P52 expression across tumor stages and with increased P50 and RelB expression in stage III patients compared with stage I/II patients (Figure 3). NF-κB subunit expression was also examined in respect to tumor grade, revealing no changes in RelA and P100/P52 expression, but enhanced P50 and RelB expression with increasing tumor grade (Figure 4). These findings indicated that P50 and RelB expression increase with laryngeal cancer progression, as determined by tumor stage, grade, and local extent.

Figure 2. Immunohistochemical detection of NF-κB subunit expression by clinicopathologic study group.

Figure 2

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(A) Data summary shown as raw data points and bars (median) with boxes (interquartile range) and whiskers (95% percentiles). (B) Representative images.n, sample size; P, overall probability by Kruskal-Wallis test. * and **: P< 0.05 and P< 0.01, respectively, for comparison with benign group by Dunn’s post- tests. #: P< 0.05 for comparison with dysplasia group by Dunn’s post-tests.

Figure 3. NF-κB subunit expression by TNM7 stage.

Figure 3

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(A) Data summary shown as raw data points and bars (median) with boxes (interquartile range) and whiskers (95% percentiles). (B) Representative images.n, sample size; P, overall probability by Kruskal-Wallis test. **: P< 0.01 for comparison with benign group by Dunn’s post-tests.

Figure 4. Immunohistochemical detection of NF-κB subunit expression by tumor grade.

Figure 4

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Data summary shown as raw data points and bars (median) with boxes (interquartile range) and whiskers (95% percentiles). n = 39, 8, 31, and 18, respectively, for none (not applicable or specified), low, intermediate, and high grade groups. P, overall probability by Kruskal-Wallis test. *: P< 0.05 for comparison with benign group by Dunn’s post-tests.

RelB expression predicts survival in laryngeal cancer

In order to define a potential role for NF-κB subunit expression in predicting survival, we dichotomized our study cohort into low and high expression groups by the median value for each subunit (always n = 48/group). Interestingly, we found no significant differences in survival between patient groups expressing different levels of RelA, P100/P52, and P50 (Figure 5A, 5C, 5D). However, patients with high RelB expression displayed statistically significant shorter survival compared with patients with low RelB expression (Figure 5B). We next entered all clinical variables and NF-κB subunit expression group (low or high for each different subunit) into Cox regression analysis using survival as the end-point and the Waldman backward elimination method (Figure 6). Tumor grade emerged as the only independent predictor of survival, suggesting that tumor stage, local extent necessitating intervention, and RelB expression are interconnected predictors of survival in laryngeal cancer. When tumor grade was eliminated, TNM7 stage emerged as an independent predictor of survival, and when TNM7 stage was eliminated, clinicopathologic category significantly predicted survival (Figure 6A; Table). We extracted proportional hazards ratios from these analyses and combined them with RelA and RelB scores (which marginally and significantly predicted survival in Kaplan-Meier analyses shown in Figure 5) to form a proportional laryngeal cancer prognostic score (Figure 6A; equation). Based on the distribution of patients according to the new score, they were dichotomized using a cut-off of 25 (Figure 6B). The newly devised laryngeal cancer prognostic score accurately and significantly predicted survival on Kaplan-Meier and Cox proportional hazards analyses, indicating that NF-κB subunit expression cooperates with clinical grade, stage, and extent to define survival (Figure 6C and 6D).

Figure 5. Survival by NF-κB subunit expression.

Figure 5

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Shown are Kaplan-Meier survival estimates of patients dichotomized by median NF-κB subunit expression score (n = 48/group for all groups and graphs). n, sample size; P, probability by log-rank test.

Figure 6. Cox regression analysis of the impact of clinical variables, risk factors, and NF-κB subunit expression on survival.

Figure 6

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(A) Risk ratios (RR) with 95% confidence intervals (CI) and probability values (P) of the of the independent impact of the listed variables on survival. Note that successive variable only emerged as important after elimination of the preceeding variables. Equation showing the proposed laryngeal cancer prognostic score. (B) Frequency distribution of study cohort according to the newly devised score showing the two groupings with low (0-25; n = 70) and high (> 25; n = 26) scores. (C) Kaplan-Meier survival estimates of laryngeal cancer patients with low (0-25) and high (> 25) scores. P, probability by log-rank test. (D) Cox regression survival estimates of laryngeal cancer patients with low (0-25) and high (> 25) scores. P, probability by proportional hazards model. RR, Risk ratio of high versus low score. CI, 95% confidence interval.

RelB and P50 expression are linked with tumor progression in laryngeal cancer

In order to better define the association between clinicopathologic variables and NF-κB expression with tumor progression, we performed ROC analyses. As shown in Figure 7, increasing age, smoking exposure, and RelB and P50 expression were statistically significantly and positively associated with tumor extent, stage, and grade (Figure 7A-7C). However, we failed to identify such relationships for alcohol consumption and RelA and P100/P52 expression (Figure 7A-7C).

Figure 7.

Figure 7

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Receiver-operator curve (ROC) analysis of the impact of clinical variables, risk factors, and NF-κB subunit expression on tumor histology (A), stage (B), and progression (C). AUC, area under curve; P, probability.

DISCUSSION

Based on two previous reports that identified the cardinal significance of NF-κB signaling in HNSCC, we characterized the expression and subcellular localization of the main NF-κB pathway effector proteins in human laryngeal cancer. We employed simple immunohistochemistry and an own-devised scoring system to achieve clinically relevant methods and results. We studied a carefully designed patient cohort reflecting the whole spectrum of progressive laryngeal neoplasia. Importantly, we followed patients for several years over a total study period of 18 years to obtain robust and valuable survival data for a cancer type that has a relatively good prognosis. Our simple but robust approach identifies that NF-κB subunits, especially P50 and RelB are linked with laryngeal cancer progression. Moreover, that RelB assessed at the time of diagnosis can predict the survival of patients with this cancer type.

The prognosis of patients with larynx cancer is currently assessed using the TNM7 staging system, while risk factors such as smoking and viral infection cannot accurately predict survival [9, 24]. However, TNM staging in the post-laryngectomy era is anatomic imaging based, labor-intensive, and not always accurate, as some early-stage tumors will relapse. To this end, a biologic marker of prognosis would be advantageous, especially one that is easily performed and quantified [25].

Although the importance of NF-κB signaling in HNSCC has been long suspected [26–29], it was recently independently established by a comprehensive study of 279 human HNSCC genomes and by a functional investigation of the two main NF-κB kinases [9, 19]. However, the findings of these two hallmark studies remained clinically unexploited. Here we show that RelB expression assessed by immunohistochemistry and a simple scoring system at the time of diagnosis can be used as a cheap and accurate bedside test to predict the prognosis of patients with laryngeal cancer. Moreover, that RelA and RelB expression can be combined with clinical variables to form a prognostic score that robustly predicts survival.

Overexpression of RelA and P50 has been previously reported in laryngeal carcinoma and has been linked to tumor progression, therapy response, and prognosis [26–31], but the potential role of RelB as a biomarker of progression and survival is still under investigation. In non-small cell lung cancer, a tumor type with high similarity to HNSCC, two previous studies identified similar roles for RelB as a potential biomarker of tumor progression and survival [23, 32]. In addition, a more recent study of head and neck squamous cell carcinoma proposed a combined effect of both IKKα and IKKβ on the nuclear localization of canonical RelA and alternative RelB and P100/P52 subunits [19]. This could provide a hint that alternative NF-κB activation stimulates altered intracellular and paracrine signaling from tumor cells, since RelA-P50 and RelB-P100/P52 complexes bind to NF-κB binding sites of different promoters [33]. The mechanism of the observed impact of RelB is unknown and is worth to be explored by future studies. A possible explanation for the predominant effects of RelB is nuclear membrane transporter chromosomal region maintenance/exportin1 protein (CRM1) that is linked with tumor progression in different types of cancers [34]. CRM1 is known to export RelA from the nucleus, a mechanism that could explain the observed cytoplasmic localization of RelA in our samples and that could render RelB the only nuclear NF-κB transactivator in laryngeal and other cancers.

Identifying the link between P50 and RelB with laryngeal cancer progression could be mechanistically explained by the fact that RelB, which is known to form dimers with P100/P52, has been recently published to form heterodimers with P50 [35–36]. This phenomenon can also explain the findings of the present study, indicating that RelB acts by forming canonical side-by -side heterodimers with P50. Our identification of RelB activation is accompanied by the recent observation that the lymphotoxin-β receptor, whose activation results in alternative NF-κB activation, is overexpressed in a wide range of tumors [37]. Furthermore, NSCLC tumors, tightly linked to laryngeal cancer by cellular origin and histology, have been reported to express another activator of the alternative NF-κB pathway, CD40 and its ligand, CD154, providing another possible molecular mechanism for alternative NF-κB activation [38]. Additional reports identified that elevated nuclear RelB in cancer cells promotes tumorigenicity and leads to elevated plasma interleukin-8 levels [39]. Consistent with our results, interleukin-8 is constitutively expressed in many metastatic cancers including HNSCC.

The proposed role for RelB in laryngeal cancer is in line with other mechanistic studies that indicate it to be a promoter of oncogenic transcription and stemness in tumor initiating cells of colon cancers, gliomas, lymphomas, and myelomas [40–43]. Future studies designed to prospectively resample patients with laryngeal cancer after treatment could validate our findings and would assess the value of RelB as a potential biomarker of treatment response. In addition to their clinical implications, our findings highlight the potential importance of non-canonical NF-κB signaling in cancer. Since most research has focused on the functions of components of the classical NF-κB activation pathway, such as P50 and RelA, our findings, along with published functional studies [44, 45], underscore the necessity of further research into non-canonical NF-κB functions in the various cancer types.

In summary, our findings support that, pending further clinical validation, immunohistochemical assessment of RelB expression at the time of diagnosis of laryngeal cancer is intimately linked with tumor progression and can accurately predict prognosis.

MATERIALS AND METHODS

Patients

Ninety-six patients who underwent microlaryngoscopy with diagnostic intent or laryngectomy with curative intent (before this technique was abandoned in 2008) between January 2001 and December 2015 at the University Hospital of Patras, Greece were prospectively enrolled in the study. The study’s observational protocol was conducted according to the Declaration of Helsinki, was approved by the Hospital Ethics Committee, and all patients gave written informed consent. Full clinical and pathologic data were recorded including age, gender, risk factors, histology, grade, and TNM7 stage. All patients were followed till death (actual events) or study conclusion (censored events) for overall survival. None of the patients received any anti-cancer drug treatment or irradiation before biopsy or laryngectomy, according to the best international clinical practice guidelines and recommendations. Multiple diagnostic tissue samples (3-5/patient) were formalin-fixed and paraffin-embedded and multiple hematoxylin and eosin-stained sections were evaluated by a certified pathologist (HP). Patients were classified into four clinicopathologic categories spanning the full spectrum of laryngeal neoplasia: benign (microlaryngoscopy-obtained benign nodules, chronic inflammation, polyps, metaplasia, etc.), dysplasia (microlaryngoscopy-obtained samples with mild, moderate, and severe dysplasia), early-stage carcinoma (microlaryngoscopy-obtained carcinoma biopsies), and locally advanced carcinoma (laryngectomy samples from patients with locally advanced carcinomas). All patients were staged according to the seventh edition of the American Joint Committee on Cancer TNM classification [24].

Immunohistochemistry

Tissue blocks were cut into 4 μm-thick sections, placed onto polylysine-coated glass slides, deparaffinized by ethanol gradient, rehydrated, and boiled for 10 min in antigen retrieval solution (0.1 M sodium citrate; pH = 6.0). Endogenous peroxidase activity was inhibited using 3% H2O2 and non-specific antibody-protein binding was prevented using 3% bovine-serum albumin-containing Tris-buffered saline. The following primary antibodies and dilutions were used overnight at 4°C: anti-P50 (sc-114 rabbit polyclonal IgG; 1/150; Santa Cruz Biotechnology, Santa Cruz, CA), anti-P100/P52 (ab31409 rabbit polyclonal IgG; 1/150; Abcam, Cambridge, UK), anti-RelA (sc-8008 mouse monoclonal IgG; 1/200; Santa Cruz), and anti-RelB (sc-226 rabbit polyclonal IgG; 1/400; Santa Cruz). Detection of primary antibodies was performed using a horse radish peroxidase-conjugated polymer according to the manufacturer’s instructions (EnVision; Dako, Glostrup, Denmark) and diaminobenzidine as the chromogenic substrate. Sections were counterstained with hematoxylin, dehydrated, and mounted using Entellan (Merck Millipore, Darmstadt, Germany). For isotype controls, the primary antibody was omitted. Normal tonsil tissue was employed as positive control. Immunoreactivity was scored by three blinded investigators (IG, IL, and HP) and consensus was sought in ambiguous cases by co-observation. In order to have a more complete description of immunoreactivity for further statistical evaluation we first scored NF-κB subunit cytoplasmic and nuclear immunoreactivity separately. The intensity of cytoplasmic or nuclear immunoreactivity was scored as 0 for negative immunoreactivity, 1 for weak, 2 for moderate, and 3 for strong. The extent of cytoplasmic or nuclear immunoreactivity was scored as 0 for < 10% positive cells, 1 for 10-25% positive cells, 2 for 25-50% positive cells, 3 for 50-75% positive cells and 4 for > 75% positive cells. Nuclear distribution was scored as 0 when nuclear intensity * nuclear extent equaled 0; 1 for nuclear intensity * nuclear extent = 1-2; 2 for nuclear intensity * nuclear extent = 3-6 and 3 for nuclear intensity * nuclear extent = 6-16. Finally, the total NF-κB subunit score was calculated as (cytoplasmic intensity + cytoplasmic extent) * nuclear distribution. NF-κB subunit scores were further dichotomized into low and high expression by median values of the whole cohort. Images were taken using an upright AxioLab.A1 microscope connected to an AxioCamERc 5s camera (Zeiss, Jena, Germany).

Statistics

The study was designed to include 112 patients across all four clinicopathologic patient categories in order to detect large biologic effect sizes (ρ = 0.4) with acceptable α and β errors of 0.05. However, a posteriori analyses including the 96 patients recruited at study conclusion indicated that statistical significance for primary end-points was reached with > 90% power. Power analyses were done using G*Power [46]. Survival analyses were done using Kaplan-Meier estimates and Log-rank (Mantel-Cox) tests. NF-κB subunit scores were not normally distributed, as tested by the Kolmogorov-Smirnov test (P < 0.05), and are presented as raw data points, bars (median) with boxes (interquartile range) and whiskers (95% percentiles). Matched scores for different NF-κB subunits of the same tumors were compared by Friedman’s test with Dunn’s post-tests. Unpaired scores of a given NF-κB subunit between groups of patients were compared by Kruskal-Wallis test with Dunn’s post-tests. Probability (P) values less than 0.05 were considered significant. Multivariate Cox regression survival analyses were done using backward (Waldman) elimination. Statistical analyses were performed using Prism v5.0.0 (GraphPad, San Diego, CA) and the Statistical Package for the Social Sciences v24 (IBM SPSS Statistics, Chicago, IL, USA).

Footnotes

Author contributions

IG performed most of the experiments and NF-κB subunit scoring, designed the study, analyzed the data, wrote the paper draft, and revised the manuscript; IL and HP performed NF-κB subunit scoring and gave intellectual input; TP carried out the clinical study; GTS designed the study, analyzed the data, and revised the manuscript. All authors edited and approved the submitted version of the manuscript.

CONFLICTS OF INTEREST

The authors declare no conflicts of interest.

FUNDING

This work was supported by European Research Council 2010 Starting Independent Investigator and 2015 Proof of Concept Grants (grant numbers # 260524 and # 679345, respectively, to GTS).

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