P53 nuclear stabilization is associated with FHIT loss and younger age of onset in squamous cell carcinoma of oral tongue

Abstract

Background

Squamous cell carcinoma of tongue (SCCT) is expected to harbor unique clinico-pathological and molecular genetic features since a significant proportion of patients are young and exhibit no association with tobacco or alcohol.

Methods

We determined P53, epidermal growth factor receptor, microsatellite instability, human papilloma virus infection and loss of heterozygosity status at several tumor suppressor loci in one hundred and twenty one oral SCCT (SSCOT) samples and analyzed their association with clinico-pathological features and patient survival.

Results

Our results revealed a significantly higher incidence of p53 nuclear stabilization in early (as against late) onset SCCOT. FHIT loss was significantly associated with p53 nuclear stabilization and the association was stronger in patients with no history of tobacco use. Samples harboring mutation in p53 DNA binding domain or exhibiting p53 nuclear stabilization, were significantly associated with poor survival.

Conclusion

Our study has therefore identified distinct features in SCCOT tumorigenesis with respect to age and tobacco exposure and revealed possible prognostic utility of p53.

Background

Squamous cell carcinoma of tongue (SCCT) is believed to be associated with late onset and tobacco use similar to other Head and neck squamous cell carcinoma (HNSCC) subtypes. An increased incidence in the young [1] and in individuals with no history of smoking and alcohol consumption [2] is reported for squamous cell carcinoma of oral tongue (SCCOT). SCCOT has the highest burden of young patients among all HNSCC subtypes and a significant proportion of patients belonging to this age group appear to include non-smokers [3]. In addition, young patients with SCCOT have frequent loco-regional recurrence [4] and poor prognosis [3]. Despite advances in cancer therapy, SCCOT five year survival rate has not improved in the last few decades [5]. All these factors make SCCOT a unique HNSCC subtype and yet molecular genetic studies designed specifically for this important cancer have been rare; most studies have been restricted to a single prognostic marker and/or a small cohort of patients [6].

We have conducted a retrospective study involving comprehensive molecular genetic and clinico-pathological analyses of one hundred and twenty one SCCOT samples; results revealed significant association of p53 nuclear stabilization with age of onset, FHIT loss and survival.

Methods

Patient samples

Previously untreated, surgically resected primary SCCOT specimens were collected from three hospitals in Hyderabad, India following informed consent and approval from respective hospital ethics committees (Institutional Ethics Committee of MNJ Institute of Oncology & Regional Cancer Centre, Institutional Ethics Committee of Apollo Hospitals and Ethics Committee of Omega Hospitals), as per modified Helsinki declaration of 2008 (http://www.wma.net/en/30publications/10policies/b3/). The study included a total of 121 tumor/normal sample pairs (all oral tongue; 106 freshly resected and 15 archived); all samples were from patients not associated with family history for any cancer. Median age of patients was 50 years with a male to female ratio of 2.0. Patients aged ≤45 years were considered as ‘young’ where as those aged ≥46 were considered as ‘old’. Surgically resected fresh tumor and matched normal tissues were collected in liquid nitrogen and preserved at −70°C after collecting representative pieces in buffered formalin for embedding in paraffin. 4 μM sections from tumor and matched normal formalin fixed and paraffin embedded (FFPE) blocks for each sample were stained with hematoxylin and eosin (H&E) to evaluate grade and absence of tumor infiltration, respectively. Clinical data and information pertaining to use of tobacco, alcohol and family history were obtained via personal interview in the form of questionnaire or from hospital medical records. Majority of tumors were well differentiated (86/121; 71.07%). Clinico-pathological details of the patient samples are given in Additional file 1: Table S1.

Immunohistochemistry (IHC)

IHC was performed as per standard protocols [7] on tissues embedded into FFPE blocks mentioned above, as per standard practice though we are aware that this slice of tissue may not represent the whole tumor. 4 μM tumor sections were deparafinized and rehydrated in graded series of alcohol followed by heat induced epitope retrieval in citrate buffer at pH 6.0 (for p53) or proteinase K pretreatment (for epidermal growth factor receptor (EGFR)) and subjected to peroxidase quenching using 0.6% hydrogen peroxide in methanol. Sections were incubated with 1 μg/ml anti-p53 (DO-1, EMD Millipore Calbiochem, Darmstadt, Germany) or 0.15 μg/ml anti-EGFR (Clone: 31G7, Zymed laboratories, Carlsbad, CA, USA) antibodies separately for one hour followed by incubation with HRP-conjugated anti-mouse secondary antibody (Dako REAL Envision Detection System, Dako, Glostrup, Denmark) for 30 minutes and subsequently with DAB chromogen (Dako REAL Envision Detection System, Dako, Glostrup, Denmark) for 3 and 7 minutes for p53 and EGFR, respectively. Sections were counter stained with hematoxylin. The slides were scored by two experienced pathologists blinded for clinical and molecular data. Samples exhibiting nuclear stain in more than 20% tumor epithelium were considered as positive for p53. For EGFR, staining intensity (negative, weak, moderate and strong) and fractional epithelium positivity (≤25%, 25 ≤ 50%, 50 ≤ 75% and 75 ≤ 100%) were scored as 0–3. A summated score greater than 3 was considered as positive.

DNA isolation

From FFPE blocks

8 μM FFPE tissue sections from tumor and matched normal blocks were stained with hematoxylin after deparaffinization. Tumor rich areas identified by the pathologist were scraped off and DNA was isolated using SDS-proteinase K lysis and subsequent phenol-chloroform extraction followed by alcohol precipitation.

From frozen tissues

DNA was isolated from fresh resected tumor tissues using the DNeasy Kit (Qiagen, Hamburg, Germany) as per manufacturer’s protocol after confirming ≥70% neoplastic cellularity.

TP53 mutation and human papilloma virus (HPV) screening

Bidirectional sequencing of TP53 exons 5–8 was carried out on a 3100 Genetic analyzer (ABI inc., Foster city, CA, USA) after PCR amplification using FFPE tumor DNA as template. Primer sequences are given in supplementary Additional file 2: Table S2. Suspected in-dels were confirmed using TA cloning vector (Invitrogen, Carlsbad, CA, USA) as per standard procedure. PCR based screening of HPV was carried out as per standard protocol [7] with GP5⁺ and GP6⁺ primers using DNA isolated from frozen tumor tissue as template. Primer sequences are given in supplementary Additional file 2: Table S2.

Microsatellite instability (MSI) screening and loss of heterozygosity (LOH) analysis

MSI analysis was performed for the 106 fresh samples using the standard NCI panel of five microsatellites (two mononucleotide repeats viz. BAT25 and BAT26 and three dinucleotide repeats viz. D2S123, D5S346 and D17S250) using FFPE DNA as template as described earlier [8]. Primer sequences are listed in supplementary Additional file 2: Table S2. Samples were classified as MSI if two or more microsatellites exhibited instability and as microsatellite stable (MSS) if one or none exhibited instability.

LOH analysis was performed (only for fresh samples) based on polymorphic microsatellites located close to putative tongue cancer tumor suppressor genes including tp53CA (TP53-17pl3.1), D3S1300 (FHIT-3p14.2) and D9S1748 (CDKN2A-9p21). LOH status was also assessed for all three dinucleotide microsatellites of the NCI panel namely D2S123 (hMSH2-2p15-16), D5S346 (APC-5q21) and D17S250 (BRCA1-17q11.2). Primer sequences are listed in supplementary Additional file 2: Table S2. Experimental procedure was identical to that of MSI analysis and LOH status was determined as described earlier [7].

Statistical analysis

Association between clinico-pathological and molecular variables was examined using Fisher’s exact test. Disease specific survival time was calculated as the duration between tumor resection and death. For patients who were lost to follow up or died of reasons other than SCCOT, survival times were censored to the last date on which patients were known to be alive. Kaplan-Meier method was used to estimate survival probability. Log rank test was used to estimate significant differences in survival rates between different groups. Cox proportional hazards model was used to assess the effect of covariates in multivariate analysis.

Results

Among 121 samples analyzed, 78 (64.46%) exhibited p53 nuclear stabilization (Table 1 and Figure 1A and B). Surprisingly, we observed a significant difference (p = 0.0184) in p53 nuclear staining between young (36/46; 78.26%), and old (42/75; 56%) patients (Table 1). There was no significant association however between p53 stabilization and tobacco use (data not shown). We next screened mutations in exons 5–8 of TP53 that encode the DNA binding domain and are known to harbor majority of mutations [9]. Mutations (listed in Additional file 3: Table S3), were detected in fifteen of thirty five tumor samples that exhibited p53 nuclear stabilization and in three of twenty six that did not. We did not observe differences in frequency of mutation in young and old patients stratified by p53 nuclear stabilization (5/16, 31.25% in young and 10/19, 52.63% in old among p53 positive tumors; and 0/5, 0% in young and 3/21, 14.28% in older patients among p53 negative tumors). Proportion of transitions, transversions and indels were similar to previous reports for SCCT as per the International Agency for Research on Cancer TP53 database (Additional file 4: Figure S1) and were not significantly different between the two age groups (data not shown). We identified a novel 33 bp deletion, c.616-648del33 (Additional file 5: Figure S2), located in exon 5 in a p53 positive tumor sample obtained from a chronic tobacco chewer that is expected to result in loss of eleven amino acids (143–153). The deleted amino acids include four (143–146) that form part of β-sheet S3 which is important in stabilizing the loop- β sheet- α helix motif, a key domain in formation of p53 DNA binding surface [10]. Majority of p53 positive tumors harboring mutation (12/15) exhibited p53 positivity in greater than 50% tumor cells (Additional file 3: Table S3). In contrast, frequency of mutation was significantly lower (3/14; 21.42%) (Additional file 3: Table S3) in p53 positive tumors exhibiting stabilization in less than 50% cells. In addition, of the three p53 negative tumors that harbored p53 mutation, two exhibited complete absence of staining. Interestingly, missense/inframe mutations were predominantly identified in tumors exhibiting p53 stabilization whereas frameshift mutations resulting in protein truncation were identified exclusively in p53 negative tumors (Additional file 3: Table S3).

Table 1.

Correlation of p53 nuclear stabilization with patient age

Age	n	NS+	NS-	p-value
Young (≤45 years)	46	36	10	0.0184
Old (≥46 years)	75	42	33
Total	121	78	43

n, Number of samples; NS+, Nuclear stabilization; NS-, Absence of nuclear stabilization;

p value corresponds to Fisher’s exact test.

Figure 1.

Immunohistochemistry based detection of p53 and EGFR in primary SCCOT samples. Representative results of nuclear stabilization (A) and negative staining (B) of p53 are shown. Panels C, D and E show representative results for strong, moderate and weak EGFR staining, respectively. Original magnification 100x.

A significant proportion of HNSCC has been found to express EGFR at high levels [11] and the same was observed in the current study as well (97/121; 80.17%) (Additional file 5: Table S4) (Figure 1C-E). There was no significant difference in EGFR staining in tumors from young and old patients (data not shown). We also analyzed EGFR expression status in matched normal samples for 25 tumors; staining was weak to moderate and was limited to the basal and suprabasal layers (non-keratinized cells). In the corresponding tumors however, strong staining was observed throughout the tumor (data not shown). In addition, in normal epithelium, staining was observed predominantly in cell membrane whereas in tumor cells, cytoplasmic staining was also observed (data not shown).

PCR based screening revealed low proportion of HPV infection (14/106; 13.2%) (Additional file 6: Table S4) and MSI 14/106 (13.2%) (Additional file 7: Figure S3A-E) in our sample cohort. Dinucleotide microsatellites exhibited frequent instability (40/318; 12.58%) compared to mononucleotide microsatellites (13/212; 6.13%) (data not shown). LOH was more frequently observed in CDKN2A (28.09%) and FHIT (26.37%) than other loci tested (Table 2) (Additional file 7: Figure S3F-G). Nineteen of fifty six samples (33.92%) positive for p53 staining in contrast to only five of thirty five (14.29%) p53 negative samples, exhibited LOH at FHIT indicating FHIT loss could be a more frequent event in tumors exhibiting p53 nuclear stabilization (p = 0.0508) (Table 3). In addition, this association was stronger (p = 0.0094) in patients with no history of tobacco use (Table 4).

Table 2.

LOH frequency at different loci

Microsatellite	D2S123/ hMSH2	D5S345/ APC	D17S143/ BRCA2	TP53CA/ TP53	D3S1300/ FHIT	D9S1748/ CDKN2A
Informative cases	94	95	90	98	91	89
Frequency of LOH*	2.12 (02)	6.31 (06)	6.67 (06)	11.22 (11)	26.37 (24)	28.09 (25)

LOH, loss of heterozygosity.

*In percentage; Number of samples exhibiting LOH is shown in parenthesis.

Table 3.

Correlation of p53 stabilization with FHIT LOH

FHIT status	n	p53 status		p-value
		NS+	NS-
FHIT LOH+	24	19	05	0.0508
FHIT LOH-	67	37	30

FHIT LOH+, FHIT LOH present; FHIT LOH-, FHIT LOH absent; NS+, p53 Nuclear stabilization; NS-, absence of p53 nuclear stabilization; n, Number of samples; LOH, loss of heterozygosity.

p value corresponds to Fisher’s exact test.

Table 4.

Correlation of FHIT LOH with p53 stabilization and tobacco use

P53 status	n	Tobacco users (50)		Tobacco never users (23)
		FHIT LOH+	FHIT LOH-	FHIT LOH+	FHIT LOH-
NS+	45	09	24	08	4
NS-	28	04	13	01	10
				p value = 0.0094

FHIT LOH+, FHIT LOH present; FHIT LOH-, FHIT LOH absent; NS+, p53 nuclear stabilization; NS-, absence of p53 nuclear stabilization; n, Number of samples; LOH, loss of heterozygosity.

p value corresponds to Fisher’s exact test.

Survival data was collected for a total of seventy nine patients; median survival was 30.5 months. Though we did not detect correlation of disease specific survival with pathological stage or grade, there is a significant difference in survival rate between patients with p53 positive and negative tumors (p = 0.0003) (Figure 2A and Table 5). As expected, patients with tumors harboring p53 DNA binding domain mutation were significantly associated with poor survival (p = 0.0117) (Figure 2B and Table 5). FHIT loss also exhibited significant effect on disease specific survival (p = 0.0302) (Figure 2C and Table 5) but it was not an independent predictor of worse prognosis, as determined by Cox proportional hazard model.

Figure 2.

Kaplan Meier curves of disease specific survival of SCCOT patients based on p53 nuclear stabilization (A), TP53 mutation (B) and FHIT LOH status (C).

Table 5.

Association of p53 nuclear stabilization and FHIT loss with disease specific survival of SCCOT patients

	Total (n)	Dead (n)	% Dead	Median survival (months)	Hazard ratio a	95% CI	Significance b
Total	79	42	53.16
P53 nuclear stabilization
NS-	30	10	33.3	63	-	-	0.0003
NS+	49	32	65.31	26.5	3.35.1	1.8293-6.1350
P53 mutation
Mutation	18	12	66.67	22			0.0117
No mutation	43	22	51.16	38	0.4274	0.1811 to 1.0084
FHIT LOH
LOH	20	13	65	21	-	-	0.0302
No LOH	53	27	50.94	38	0.4967	0.2265-1.0893

^aHazard ratio was calculated to the first variable in a subgroup (indicated by empty cells).

^bCorresponds to Log Rank test (Mantel-Cox).

Discussion

Abrogation of p53 tumor suppressor activity is a frequent event in many cancers, including HNSCC [12]. The frequency of p53 nuclear stabilization identified in SCCOT in the present cohort (64.46%) is in accordance with previous reports from India [13] as well as from the West [14]. Interestingly, frequency of p53 nuclear stabilization was high in young patients (Table 1), suggesting possible role of genetic factors. An earlier study conducted on 724 HNSCC cases reported a similar difference of p53 stabilization between young and older patients [15]. Of interest, a study conducted on aging mice showed a two-fold decline in p53 activity with advancing age, when exposed to radiation [16]. It can perhaps be postulated that age related decline in p53 transcriptional activity may independently contribute to tumorigenesis in old patients perhaps by mimicking mutational inactivation. The distinct occurrence of TP53 mutation exclusively in samples exhibiting strong or absent p53 immunostain has been observed earlier in ovarian cancer [17]. However, we cannot rule out the possibility of dilution of mutant allele by the wild type allele in samples exhibiting p53 staining in less than 50% cells. Since p53 mutations were also identified in samples not exhibiting nuclear stabilization, using immunostaining alone to identify p53 status may not be an ideal approach. Interestingly, we observed that young patients with p53 nuclear stabilization also exhibited DNA binding domain mutation similar to older SCCOT patients. This is in contrast to a study conducted on SCCOT patients in USA where none of the young patients who exhibited p53 nuclear stabilization harbored mutation [18,19]. There is no previous report of HPV screening performed specifically on SCCOT from India, though few studies on oral squamous cell carcinoma (OSCC) revealed a higher frequency of HPV infection [20], probably due to inclusion of other oral cancer subtypes. Base of tongue squamous cell carcinoma is known to exhibit higher frequency of HPV infection [21].

Previous studies undertaken on HNSCC showed significant variation in MSI (ranging from 1- 65%) across populations, though number of markers analyzed varied significantly [22-24]. Our results suggest the presence of a higher frequency of MSI in SCCOT compared to other HNSCC subtypes, as also reported previously [22]. In this study, dinucleotide microsatellites exhibited frequent instability compared to mononucleotide microsatellites perhaps suggesting the occurrence of a distinct form of instability than the one observed in classical mismatch repair (MMR) deficient tumors [25]. A significant proportion (one-third) of tumors exhibited LOH at D9S1748 (CDKN2A) consistent with earlier reports [26]. LOH frequency of D2S123 (hMSH2), D5S346 (APC) and D17S250 (BRCA1) observed in our patient cohort appeared to be lower than previous reports [24]. An earlier report from India revealed marginally higher frequency of LOH at TP53 locus in oral cancer [27], probably due to influence of tumors other than SCCOT.

FHIT harbors one of the most common fragile sites in the genome called FRA3B and is often associated with chromosomal deletions in various cancer cell lines and tumors [28]. P53 inactivation induced genomic instability could be one cause for the association of p53 nuclear stabilization with FHIT loss though a similar association with CDKN2A LOH was not identified. FHIT loss can be expected to be more susceptible to genomic instability given its location within a chromosomal breakpoint region [28]. Strong association of loss of FHIT and p53 inactivation in nonsmokers (Table 4) suggests that tumors occurring in tobacco never users with and without p53 inactivation could be distinct entities. Wild type p53 and FHIT are known to have similar roles in inducing apoptosis and cell cycle arrest possibly through Bak and p21 respectively [29]. Therefore, inactivation of FHIT and p53 may facilitate tumor cells to evade apoptosis and escape G0/G1 arrest. A recent report suggests that inactivation of both FHIT and p53 may have possible synergistic effect resulting in deregulation of proliferation related genes in lung cancer cell lines and tumors [30], particularly in squamous cell carcinoma subtype of non-small cell lung cancer [31]. Ours is however the first study to report such association in SCCOT (Table 3).

To our knowledge, this is the first report to identify p53 inactivation as an independent prognostic marker for poor survival in SCCOT, though it has been reported in HNSCC [32] and OSCC [33]. Few studies have identified FHIT to be a predictor of poor survival in OSCC [34] in HNSCC [35]. However, these studies did not analyze the status of p53 aberrations in the tumors. The association of FHIT loss with poor survival is probably a result of association with p53 nuclear stabilization.

Conclusion

Though the study was conducted on a relatively smaller size of samples, it is expected to help in selecting molecular markers for larger studies in the future with more clinical significance. However, this is the most comprehensive molecular genetic study undertaken on Indian SCCOT patients and has identified frequent mutational inactivation of p53 and its significant association with loss of FHIT. More importantly, our results show association of wild type p53 and good survival. Genetic aberrations contributing to concomitant FHIT loss and p53 stabilization in tumors need to be delineated. It would be interesting to study tumorigenesis pathways contributing to SCCOT in the absence of p53 and FHIT inactivation. Given the unique clinico-pathological features associated with SCCOT, this study is an important step towards understanding of this important but hitherto poorly studied HNSCC subtype.

Abbreviations

SCCT: Squamous cell carcinoma of tongue; SCCOT: Squamous cell carcinoma of oral tongue; HNSCC: Head and neck squamous cell carcinoma; FFPE: Formalin fixed and paraffin embedded; H&E: Hematoxylin and eosin; IHC: Immunohistochemistry; EGFR: Epidermal growth factor receptor; HPV: Human papilloma virus; MSI: Microsatellite instability; LOH: Loss of heterozygosity; MSS: Microsatellite stable; MMR: Mismatch repair; OSCC: Oral squamous cell carcinoma.

Competing interests

All authors declare that they have no competing interests.

Authors’ contributions

MDB conceived the study. MDB and RSRA designed the study. RSRA, VK, NAG, SG, SGU, MMA, SD, MR, SR, UKN, MVC acquired data. MDB and RSRA performed statistical analysis. MDB and RSRA prepared manuscript with inputs from all authors. All authors read and approved the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here:

http://www.biomedcentral.com/1472-6890/14/37/prepub

Supplementary Material

Additional file 1: Table S1

Clinico-pathological details of SCCOT patients.

Additional file 2: Table S2

Primers used in the current study.

Additional file 3: Table S3

TP53 mutations identified in the study.

Additional file 4: Figure S1

Frequency of p53 mutation types observed in this study and in International Agency for Research on Cancer (IARC) TP53 Database.

Additional file 5: Figure S2

426-458del33, a novel in-frame deletion identified in TP53 in SCCOT.

Additional file 6: Table S4

Frequency of EGFR expression, HPV infection and MSI.

Additional file 7: Figure S3

Representative chromatograms depicting MSI.

Acknowledgments

The authors thank all patients who consented for the study. RSRA is a registered PhD student of Manipal University, Karnataka, India and is thankful to University Grants Commission (UGC), Govt. of India, for junior and senior research fellowships.

Funding

This study was funded by Indian Council for Medical Research (ICMR) (Grant No. 5/13/129/2009-NCD-III), Council of Scientific and Industrial Research (CSIR), Govt. of India (Grant No. 27(265)/12/EMR-II) and Department of Biotechnology, Govt. of India (a core grant to Centre for DNA Fingerprinting and Diagnostics (CDFD).