The prognostic value of TP53 mutations in hypopharyngeal squamous cell carcinoma.

BACKGROUND: TP53 is the most frequently mutated gene in human cancers. Previous studies reported that TP53 mutations correlated with poor prognoses in patients with head and neck squamous cell carcinoma (HNSCC). However, the relationship between TP53 mutations and hypopharyngeal squamous cell carcinoma (HPSCC) is not known. The current study aimed to evaluate TP53 mutation status as a predictive biomarker in patients with HPSCC.
METHODS: We retrospectively reviewed the clinical charts of 57 HPSCC patients treated with initial surgery between 2008 and 2014. TP53 mutation status was determined by Sanger sequencing, and patients were classified into wild-type, missense mutation, and truncating mutation groups. Additionally, p53 expression was determined using immunohistochemistry in surgical specimens.
RESULTS: TP53 mutations were identified in 39 (68%) patients. The 3-year disease-specific survival (DSS) rate of wild-type, missense mutation, and truncating mutation group were 94%, 61%, and 43%, respectively. The TP53 mutation group displayed significantly worse DSS and overall survival rates than the wild-type group (P = 0.01 and P = 0.007, respectively). Multivariate analyses revealed that the presence of TP53 mutations and ≥4 metastatic lymph nodes were independent adverse prognostic factors for HPSCC. p53 immunopositivity was detected in 22 patients, including 5 (28%) and 17 (71%) patients in the wild-type and missense mutation groups, whereas none of the patients with truncating mutation exhibited p53 immunopositivity (P = 0.0001).
CONCLUSION: The TP53 mutation status correlated with poor prognosis in surgically treated HPSCC patients. Specifically, truncating mutations which were not detected by p53 immunohistochemistry were predictive of worst survival.

Background

Among squamous cell carcinomas (SCC) originating in the upper aerodigestive tract, the management of hypopharyngeal squamous cell carcinoma (HPSCC) remains to be one of the most challenging and controversial topics, due to the poor survival rate and potentially devastating effects on speech and swallowing [1]. Alcohol consumption and acetaldehyde, a toxic product of ethanol metabolism, are widely known as carcinogen of head and neck SCC (HNSCC) and esophageal SCC (ESCC). The activity of aldehyde dehydrogenase 2, a key enzyme in the elimination of aldehyde, is reduced by the germline polymorphism Glu504Lys (previously described as Glu487Lys), which is prevalent in Mongoloid but not in Caucasoid or Negroid populations [2]. Therefore, this different genetic background is considered as a major reason of high HPSCC and ESCC incidence rates in East Asia [3, 4].

Tumor suppressor gene TP53 is the most frequently mutated gene in human cancers: more than 50% of human cancers contain somatic mutations in this gene [5, 6]. Tumor suppressor p53, encoded by the TP53 gene, is a key protein involved in many cellular anticarcinogenic processes such as apoptosis and cell-cycle control [7]; therefore, p53 is widely known as the guardian of the genome [8]. Molecular alterations in carcinogenesis of HNSCC include loss of p53 function, which is mediated by genetic mechanisms such as TP53 mutations [9] and loss of heterozygosity [10], or degradation of p53 meditated by the human papillomavirus (HPV) oncoprotein E6 [11].

Two studies previously demonstrated the association between TP53 mutations and prognosis in surgically treated HNSCC patients. [12, 13] However, these studies did not examine these associations based on the anatomical location of the HNSCCs. Moreover, patients with oropharyngeal SCC (OPSCC) comprised the majority of the cases, and there were a total of only two patients with HPSCC in the two studies. HPV-related OPSCCs commonly express wild type TP53 [14], creating a potential confounder as HPV-related tumors have a generally favorable prognosis. In contrast, HPV-driven HPSCC is considered rare [15] and the prognostic significance of TP53 mutation status in HPSCC has not yet been investigated. The aim of this study was to evaluate the prognostic significance of TP53 mutation status among surgically treated HPSCC patients in Japan, where the HPSCC incidence rate is high.

Methods

We retrospectively reviewed the clinical charts of HPSCC patients, who had been surgically treated between 2008 and 2014 at the University of Tokyo Hospital. We excluded patients, who underwent salvage surgery after the definitive radiotherapy (RT) or chemoradiotherapy (CRT), and those who received preoperative chemotherapy. We identified 57 HPSCC patients (55 men and 2 women; age range: 46–84 years, median age: 68 years) who underwent initial surgery of primary lesions. Subsites of primary tumor were the pyriform sinus, posterior wall, and postcricoid region, in 37 (65%), 15 (26%), and 5 (9%) patients, respectively. TNM staging was done according to the 7th edition of the Union for International Cancer Control (2009) staging guidelines. The indication for postoperative RT/CRT was comprehensively determined on the basis of the clinicopathological status of the patients including impaired performance status, inadequate surgical margin, ≥4 metastatic LNs, presence of extranodal extension (ENE), and postoperative complications as well as the consent of patient. The Institutional Review Board of the University of Tokyo Hospital approved this study (#2487 and #2904).

Determination of human papillomavirus status

In OPSCC, p16 immunopositivity is commonly used as a surrogate marker for HPV determination [16]. Therefore, the p16 status was evaluated in surgically excised specimens using immunohistochemistry (IHC) according to the standard techniques as previously described [17]. A mouse p16 monoclonal antibody (1:100 dilution; Santa Cruz Biotechnology, CA, USA) was used as the primary antibody, and immunostained samples were blindly reviewed and scored independently by two investigators (M. A and Y. S). In accordance with previous studies, p16 positivity by IHC was defined as strong and diffuse nuclear and cytoplasmic staining in ≥70% of the tumor cells [16, 17].

However, p16 expression does not always indicate the presence of HPV DNA, and the combination of p16 expression determined by IHC with HPV DNA determination by polymerase chain reaction (PCR) or in situ hybridization (ISH) is considered to provide the almost perfect sensitivity and specificity [18, 19]. Therefore, p16-immunopositive specimens were also tested for HPV DNA by HPV-ISH, as previously described [19, 20]. Briefly, HPV DNA was detected using an ISH method with catalyzed signal amplification (GenPoint signal amplification system; Dako, Kyoto, Japan), in accordance with the manufacturer’s instructions. Slides were hybridized using a biotinylated GenPoint HPV probe (This probe has been found to react with HPV types 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, and 68 on FFPE tissues and/or cells by ISH, Dako). Slides were scored as positive for HPV if a punctate signal pattern was observed in almost all tumor nuclei.

Genomic DNA extraction

Tumor tissue specimens were collected during surgery, and snap-frozen in liquid nitrogen and stored at −80 °C. Genomic DNA was extracted using the QIAamp DNA Mini Kit (Qiagen, Hilden, Germany), in accordance with the manufacturer’s protocol. In specimens where the harvest of frozen sections appeared to interfere with the pathological margins, DNA was isolated from formalin-fixed, paraffin-embedded (FFPE) tissue blocks. Briefly, the tumor lesions on hematoxylin and eosin-stained slides were marked, and the corresponding areas were identified on unstained tissue sections. Each selected area was carefully dissected under microscopic observation. Genomic DNA was then extracted using the QIAamp DNA FFPE Tissue Kit (Qiagen).

Detection of TP53 mutations

PCR amplification and Sanger sequencing were performed to detect TP53 mutations in exons 2–9, containing 98% of all mutations described in HNSCC cases [21]. A total of 20 ng/μl genomic DNA per sample was used for PCR amplification using PrimeSTAR HS DNA Polymerase(Takara Bio, Shiga, Japan). Amplification conditions included two-step cycle of 98 °C for 15 s and 68 °C for 90 s, for a total of 44 cycles, except for the amplification of exon 2–3 fragments harvested from frozen and FFPE specimens and exon 6 fragments harvested from FFPE specimens, which were amplified by nested PCR (25 cycles each) using two primer pairs. Subsequently, PCR products harvested from FFPE tissue were purified using the QIAquick PCR Purification Kit (Qiagen), in accordance with the manufacturer’s protocol. Mutations were confirmed by Sanger sequencing using the Big Dye Terminator v3.1 Cycle Sequencing Kit and 3130xL Genetic Analyzer (Applied Biosystems, CA, USA). In this study, nonsense mutations, splice variants, and frameshifts were defined as truncating mutations, that lead to nonfunctional p53, based on previous studies [13, 22]. All samples were sequenced twice with independent PCR using forward and reverse primers.

Immunohistochemistry for p53 expression

IHC for p53 expression was performed according to standard IHC techniques. A mouse p53 monoclonal antibody clone DO-7 (1:100 dilution; Leica Biosystems, Nussloch, Germany) was used as the primary antibody. In accordance with a previous study, a sample was determined as p53-immunopositive when ≥10% of tumor nuclei were immunostained [23].

Statistical analyses

Primary endpoint was disease-specific survival (DSS) and secondary endpoint was overall survival (OS). Potential correlations between the treatment method and several clinical features were evaluated using the chi-square test; for analyses in which there were <4 patients, the Fisher’s exact test was used. Survival was analyzed using the Kaplan–Meier method and the log-rank test. Variables were also analyzed by multivariate survival analysis using the Cox proportional hazards model. Hazard ratios (HR) and 95% confidence intervals (CI) were calculated to determine the effect of each variable on outcomes. P values <0.05 were considered statistically significant. GraphPad Prism software version 5 (GraphPad Software, CA, USA) was used for the chi-square, Fisher’s exact, Mann-Whitney’s U, and log-rank tests. Mac Tahenryo-Kaiseki version 2.0 (ESUMI, Tokyo, Japan) was used for multivariate Cox regression models.

Results

Human papillomavirus status of patients with hypopharyngeal squamous cell carcinoma

In this cohort of 57 HPSCC patients, 3 (5%) patients were immunopositive for p16; however, none of these three patients had detectable HPV DNA by HPV-ISH. Therefore, HPSCC was confirmed to be unrelated to HPV in all patients in this study (Fig. 1).

Fig. 1

The representative case of p16-immunopositive tumor. a p16 immunostaining, and b HPV-ISH analysis of the identical tumor. None of p16-immunopositive tumor in our HPSCC cohort was positive by HPV-ISH (original magnification × 100)

Distribution of TP53 mutations

TP53 mutations were detected in 39 (68%) patients. Missense mutations, nonsense mutations, splicing variants, and frameshift mutations were found in 24 (42%), 9 (16%), 4 (7%), and 2 (3%) patients, respectively. TP53 mutations in exon 2, 3, 4, 5, 6, 7, 8, and 9 were found in 1, 0, 3, 11, 9, 4, 8, and 3 patients, respectively (Fig. 2).

Fig. 2

Distribution of TP53 mutations according to the affected exons. Exon 2, 3, 4, 5, 6, 7, 8, and 9 of TP53 mutations were found in 1, 0, 3, 11, 9, 4, 8, and 3 patients, respectively

Clinicopathological features and TP53 mutation status

Table 1 summarizes the clinical data and TP53 status. Table 2 shows the clinicopathological features according to TP53 mutation status. Histopathological analysis revealed positive surgical margins in 11 (19%) patients, ≥4 metastatic LNs in 14 (25%) patients, and ENE in 15 (26%) patients. Postoperative RT/CRT was administered to 16 (28%) patients. Of note, all of stage I/II patients (5 patients) had wild-type TP53, and patients with a past history of HNSCC or ESCC were significantly greater in the TP53 mutation groups than in the wild-type groups (P = 0.02). Administration of postoperative RT/CRT did not correlate with TP53 mutation status (P = 0.25).

Table 1

Clinical data and TP53 status

Age, gender	TN	TP53	p53-IHC	No. of LNs	Tumor differentiation	Margins	ENE	Follow-up periods (months)
62 M	T3N2b	truncating	–	2	M	+	–	101	NED
73 M	T3N2b	wt	+	9	M	+	–	85	DOC
78 M	T3 N0	truncating	–	0	M	–	–	11	DOD
49 M	T2 N0	wt	+	0	W	–	–	94	NED
72 M	T3 N1	missense	+	2	W	–	–	36	DOC
65 M	T3N2b	missense	+	3	M	–	+	27	NED
68 M	T2N2b	wt	–	11	W	–	–	92	NED
67 M	T3N2b	truncating	–	5	M	+	–	11	DOD
81 M	T3 N1	wt	–	3	W	–	–	66	NED
80 M	T3N2b	truncating	–	3	M	–	+	17	DOD
64 M	T1N2b	truncating	–	2	W	–	+	82	NED
79 M	T3 N0	missense	–	0	M	–	–	66	NED
81 M	T3N2b	truncating	–	2	M	–	+	24	DOD
66 M	T4aN0	truncating	–	0	M	–	–	76	NED
81 M	T3 N0	missense	+	0	W	–	–	4	DOC
62 M	T2 N0	wt	–	1	P	–	–	75	NED
83 M	T1 N0	wt	–	0	P	+	–	41	DOD
70 M	T3N2b	truncating	–	14	M	–	+	11	DOD
75 M	T2N2b	wt	+	2	M	+	–	55	NED
55 M	T4aN2b	missense	+	4	W	–	+	24	DOD
46 M	T4aN0	missense	+	0	M	–	–	66	DOC
55 M	T4aN2b	missense	–	6	W	–	–	12	NED
71 M	T3N2c	missense	+	25	M	–	+	17	DOD
79 M	T4aN0	missense	+	1	M	–	–	7	DOD
63 M	T3 N0	missense	–	2	M	–	–	29	DOD
67 M	T2 N0	wt	–	0	W	–	–	60	NED
61 M	T4aN2b	missense	+	4	W	+	+	5	DOD
84 M	T4aN0	truncating	–	0	M	–	–	8	DOD
60 M	T4aN2c	truncating	–	12	P	–	–	9.2	DOC
68 M	T3 N0	truncating	–	0	M	–	–	55	NED
60 M	T1 N0	wt	–	0	M	–	–	53	NED
67 M	T4aN0	wt	–	4	W	–	–	50	NED
72F	T3 N0	missense	+	0	M	–	–	27	NED
72 M	T3 N0	missense	–	0	M	–	–	49	NED
81 M	T3 N1	wt	–	3	W	–	–	17	DOD
72 M	T3 N1	missense	+	1	M	–	–	49	NED
84 M	T3 N0	missense	+	2	M	+	–	5	DOD
47 M	T3 N0	wt	–	0	W	–	–	23	DOC
69 M	T1N2a	missense	–	2	W	+	+	6	DOD
64F	T3N2c	missense	+	3	M	–	–	14	DOD
69 M	T3 N1	missense	–	2	W	–	+	45	NED
64 M	T3 N0	missense	+	0	M	+	–	43	NED
63 M	T3 N1	truncating	–	3	M	–	–	41	NED
76 M	T3 N0	wt	+	1	M	–	+	37	NED
71 M	T4aN2b	missense	+	1	M	–	+	16	DOC
75 M	T3N2b	missense	–	3	M	–	+	37	NED
67 M	T4aN2b	wt	–	4	M	–	–	36	NED
74 M	T3 N0	wt	–	3	P	–	–	42	NED
82 M	T4aN2b	missense	+	1	M	–	–	32	NED
52 M	T3N2c	wt	+	3	M	–	+	32	NED
64 M	T4aN0	missense	+	0	P	–	–	24	DOC
48 M	T4aN2b	truncating	–	4	W	–	–	30	NED
71 M	T4aN0	wt	–	3	M	+	–	28	NED
64 M	T4aN2b	truncating	–	2	M	–	+	17	DOD
84 M	T3N2b	truncating	–	14	M	–	–	16	DOD
64 M	T3 N1	missense	+	1	M	+	–	25	NED
79 M	T4aN1	wt	–	1	W	–	–	24	NED

IHC immunohistochemistory, No. LNs the number of metastatic lymph nodes, ENE extranodal extension, M male, F female, W well differentiated, M moderately differentiated, P poorly differentiated, NED no evidence of disease, DOD died of the disease, DOC died of other cause

Table 2

Clinicopathological parameters according to TP53 mutation status

Clinicopathological features		Total (n = 57)	TP53 status		P value
			Wild-type (n = 18)	Mutation (n = 39)
Age	Range (median)		47–83 (70)	46–84 (68)	0.45**
Subsites	PS	27	12	15	0.25
	PC	5	0	5
	PW	15	6	9
T	T1–3	40	14	26	0.30*
	T4	17	4	13
N	N0/1	32	13	19	0.15
	N2/3	25	5	20
Stage	I/II	5	5	0	0.002*
	III/IV	52	13	39
Tumor differentiation	W./M. SCC	52	15	37	0.31*
	P. SCC	5	3	2
Margin	Negative	46	14	32	0.73
	Positive	11	4	7
No. of metastatic LNs	≤3	43	14	29	1.00
	≥4	14	4	10
ENE	Absent	42	16	26	0.11*
	Present	15	2	13
PORT/CRT	Absent	41	14	27	0.25
	Present	16	4	12
Anamnestic SCC	Absent	42	17	25	0.02*
	Present	15	1	14

PS pyriform sinus, PC postcricoid, PW posterior wall, T tumor classification, N nodal classification, Stage stage classification, W well differentiated, M moderately differentiated, P poorly differentiated, SCC squamous cell carcinoma, No number, LN lymph node, ENE extranodal extension, PORT/CRT postoperative radiotherapy/chemoradiotherapy, Anamnestic SCC anamnestic squamous cell carcinoma arising from esophagus and head and neck region, *: Fisher’s exact tests were used. **: Mann-Whitney’s U test was used

Association between TP53 mutation and p53 expression

Representative images of specimens exhibiting p53 immunopositivity are presented in Fig. 3. p53 immunopositivity was detected in 22 patients, including 5 (28%) and 17 (71%) patients in the wild-type and missense mutation groups, whereas there were no patients with p53 immunopositivity in the truncating mutation group (P = 0.0001, chi-square test).

Fig. 3

Representative images of p53-immunopositive tumor (original magnification × 100)

Correlation between TP53 mutation status and prognosis

Eighteen (32%) patients died from HPSCC, whereas 8 (14%) patients died from other causes. The remaining 31 (54%) patients were alive and disease-free on last follow-up date. The median follow-up period for the entire cohort was 29 months (range: 3.5–101 months), whereas 45 months (range: 24–101 months) for patients who survived (n = 31) and 16 months (range: 3.5–85 months) for those who died (n = 26). The 3-year DSS of the wild-type group was significantly longer than that of the TP53 mutation group (94% vs 55%; P = 0.01, Fig. 4). Furthermore, patients with wild-type/missense mutations had significantly better 3-year DSS than those with truncating mutations (76% vs 43%; P = 0.03). The 3-year DSS rate of wild-type, missense mutation, and truncating mutation groups were 94%, 61%, and 43%, respectively (Fig. 5). The 3-year OS of the wild-type group was significantly longer than that of the TP53 mutation group (89% vs 42%; P = 0.007). The 3-year OS rate of wild-type/missense mutation group was not significantly different than that of the truncating mutation group (66% vs 40%; P = 0.14). The 3-year OS rate of the wild-type, missense mutation, and truncating mutation group were 89%, 43%, and 40%, respectively. In contrast, p53 immunopositivity did not correlate with DSS (P = 0.77). In the subgroup analyses of 52 stage III/IV patients, the 3-year DSS of the wild-type group was significantly longer than that of the TP53 mutation group (92% vs 55%; P = 0.02). The 3-year OS of the wild-type group was significantly longer than that of the TP53 mutation group (92% vs 42%; P = 0.006).

Fig. 4

Disease-Specific Survival (DSS) according to the presence of TP53 mutation. The 3-year DSS rate of patients with wild-type TP53 was significantly longer than that of patients with TP53 mutations (94% vs 55%, P = 0.01)

Fig. 5

Disease-Specific Survival (DSS) according to the TP53 mutation status. The 3-year DSS rate of the patients with wild-type TP53, missense TP53 mutation, and truncating TP53 mutation were 94%, 61%, and 43%, respectively

Table 3 shows the associations between the clinicopathological factors and DSS in univariate analysis. The presence of ≥4 metastatic LNs (P = 0.04) and ENE (P = 0.03) were poor prognostic factors. In contrast, tumor differentiation grade, T classification, stage, surgical margin, and postoperative RT/CRT did not correlate with DSS.

Table 3

Univariate analyses for disease-specific survival

Variables		HR (95% CI)	P value
Tumor differentiation	W./M. vs. P.SCC	0.63 [0.13–3.09]	0.57
T classification	T1–3 vs. T4	1.12 [0.39–3.25]	0.83
Stage	Stage I/II vs. III/IV	2.30 [0.55–9.56]	0.25
Margin	Negative vs. Positive	2.08 [0.61–7.07]	0.24
No. of metastatic LNs	≤3 vs. ≥4	3.34 [1.04–10.7]	0.04
ENE	Absent vs. Present	3.34 [1.11–10.1]	0.03
PORT/CRT	Performed vs. Not performed	0.91 [0.33–2.53]	0.86
TP53 mutation	Wild-type vs. Mutation	3.32 [1.28–8.60]	0.01
p53 immunopositivity	Negative vs. Positive	0.87 [0.33–2.27]	0.77

HR hazard ratio, 95% CI 95% confidence interval, W well differentiated, M moderately differentiated, P poorly differentiated, SCC squamous cell carcinoma, T tumor classification, No number, LN lymph node, ENE extranodal extension, PORT/CRT postoperative radiotherapy/chemoradiotherapy

Multivariate Cox proportional hazard analysis using variables based on univariate analyses was conducted to determine independent prognostic factors for DSS and OS. The presence of TP53 mutations (P = 0.04; HR, 4.96; 95% CI, 1.08–22.8, and P = 0.02; HR, 4.75; 95% CI, 1.35–16.7, respectively) and ≥4 metastatic LNs (P = 0.03; HR, 3.00; 95% CI, 1.12–8.04, and P = 0.02; HR, 2.89; 95% CI, 1.22–6.86, respectively) have significant adverse effects on both DSS and OS. In the subgroup analyses of 52 stage III/IV patients, the presence of TP53 mutations was a significant adverse prognostic factor on OS, and nearly reached significance on DSS. (Table 4).

Table 4

Multivariate analyses for disease-specific and overall survival

Variables		Overall (n = 57)				Stage III/IV (n = 52)
		DSS		OS		DSS		OS
		HR [95% CI]	P value	HR [95% CI]	P value	HR [95% CI]	P value	HR [95% CI]	P value
TP53	Wild-type vs. Mutation	4.96 [1.08–22.8]	0.04	4.75 [1.35–16.7]	0.02	7.72 [0.98–60.7]	0.05	5.51 [1.24–24.5]	0.03
No. of metastatic LNs	≤3 vs. ≥4	3.00 [1.12–8.04]	0.03	2.89 [1.22–6.86]	0.02	3.07 [1.13–8.35]	0.03	2.89 [1.20–6.94]	0.02
ENE	Absence vs. Presence	1.85 [0.70–4.86]	0.21	1.39 [0.59–3.27]	0.45	1.81 [0.68–4.80]	0.23	1.36 [0.58–3.21]	0.48

DSS disease-specific survival, OS overall survival, HR hazard ratio, 95% CI 95% confidence interval, No the number, ENE extranodal extensio

Discussion

In this retrospective study, we demonstrated that the TP53 mutation status significantly correlated with poor prognosis in surgically treated HPSCC patients. Specifically, patients with truncating mutations exhibited the worst prognosis. To the best of our knowledge, this is the first study focusing on the association between TP53 mutation status and prognosis of HPV-unrelated HPSCC. The result of the current study was consistent with the previous studies investigating all HNSCC subsites [12, 13], which included patients with HPV-driven OPSCC.

HPSCC is rarely caused by HPV-driven carcinogenesis as we confirmed in the current study and occurs more frequently in East Asian population than in other regions of the world. Survival of patients with HPSCC has not markedly improved in recent decades. In the last two-decades, CRT and induction chemotherapy followed by RT have become the option for advanced HNSCC patients who prefer nonsurgical organ preservation [24-26]. However, RT-induced late toxicity, such as dysphasia and osteonecrosis distresses emerging issues for cancer survivors. The recent development of minimally invasive surgical procedures, such as transoral robotic surgery (TORS) and transoral videolaryngoscopic surgery (TOVS) techniques, has broadened surgical indications and appeared to result in better outcomes with respect to the postoperative speech and swallowing function [27, 28]. Therefore, surgery remains the main treatment modality for HPSCC patients. Our multivariate analyses revealed that both the TP53 mutation status and the presence of ≥4 metastatic LNs were independent adverse prognostic factors for surgically treated HPSCC patients. In the previous study, we demonstrated that the presence of multiple metastatic LNs was significantly associated with the poor prognosis and the incidence of distant metastases in advanced HPSCC patients treated with total pharyngolaryngectomy [29]. Collectively, TP53 mutations can be a useful biomarker for HPSCC patients, in addition to the traditional metastatic LN number.

Interestingly, the past history of HNSCC or ESCC was significantly higher in the TP53 mutation group than in the wild-type group in the present study. HNSCC and ESCC have been known to occur synchronously or metachronously, which might be explained by the concept of “field cancerization” first introduced by Slaughter et al. in 1953 [30]. Currently, repetitive exposure to acetaldehyde is considered to play a key role in field cancerization of the squamous epithelium in the head and neck region and the esophagus [31]. Moreover, Waridel et al. reported that mutations in TP53 were frequent and early events in the pathogenesis of HNSCC and identified the expansion of multiple clones of mutant p53-containing cells as an important biological step in field cancerization [32]. Our findings in the current study led further support to these observations. Future studies with larger sample size and longitudinal evaluations, supported with basic research, are necessary to confirm this hypothesis.

In the current study, we demonstrated that p53 immunopositivity was observed most frequently in the presence of missense mutations. Wild-type p53 protein is rapidly degraded via the ubiquitin-proteasome system, resulting in low p53 protein expression. Conversely, the nonsense-mediated RNA decay and the resultant decreased amount of the protein considered to be the reason why truncating p53 proteins cannot be detected by IHC [33]. Some missense mutations, that result in increased p53 immunopositivity can lead to a dominant-negative or a gain-of-function phenotype [34, 35], Our observations in the current study support these biological mechanisms; therefore, the distinction between missense and truncating mutations is reasonable for the clinical categorization of the TP53 mutation status.

The Cancer Genome Atlas (TCGA) reported that TP53 mutations were detected in 84% of HPV-unrelated HNSCC cases using whole-exome sequencing analysis [14]. In comparison, the frequency of TP53 mutations was lower in the HPSCC cohort of the current study, which might be partially due to differences in racial composition and tumor subsites. The HNSCC cohort of TCGA consisted almost entirely of Caucasoid and Negroid populations, with only two HPSCC patients. Additionally, it is possible that mutation detection sensitivity of whole-exome sequencing was superior to that of Sanger sequencing.

To improve the prognoses of HPSCC patients with TP53 mutations, adjuvant therapy should be selectively administered to these patients. TP53 mutation, however, is also known as a predictive marker for chemo- and radioresistance in HNSCCs. [36, 37] Therefore, it might be unreasonable to use TP53 mutation status as a therapeutic biomarker for existing postoperative treatments including RT/CRT. Although most of the current targeted therapies are inhibitors of oncogenic pathways, development of p53-targeted therapy is warranted.

One of the limitations of our study was a lack of detailed comparison and functional study of each TP53 mutations, due to the small sample size. In line with previous reports on HNSCC [13], various mutation types were detected in various regions of TP53 genes. Further investigation with larger sample size is required to elucidate the potential associations between the mutations with respect to functional and biological effects and prognosis. Furthermore, the number of T1–2 tumors was small in this study. Recently, TORS and TOVS techniques for T1–2 tumors to which RT/CRT was previously preferable were broadened. Therefore, further accumulation of T1–2 patients is also required.

Conclusions

We demonstrated that TP53 mutations had a significant impact on prognosis, in surgically treated HPSCC patients. In particular, truncating mutations which were not detected by p53 IHC were shown to have predictive value for a worst survival. Further confirmation from prospective studies with larger sample size including more T1–2 patients is warranted.