Low expression of angiotensinogen and dipeptidyl peptidase 1 in saliva of patients with proliferative verrucous leukoplakia.

AIM: To elucidate the profile of the salivary proteome.
METHODS: Unstimulated whole mouth saliva was collected from 30 volunteers [15 proliferative verrucous leukoplakia (PVL) patients and 15 controls] and proteins were submitted for mass spectrometry-based proteomics using the discovery approach, followed by analyses of variance and logistic regression tests.
RESULTS: A total of two hundred and eighty-three proteins were confidently identified in saliva. By combining two low abundance proteins from the PVL group, angiotensinogen (AGT) and dipeptidyl peptidase 1 (DPP1), a model for group differentiation was built with a concordance index of 94.2%, identifying both proteins as potential etiologic biomarkers for PVL.
CONCLUSION: This study suggests that both AGT and DPP1 may be involved in developmental mechanisms of PVL.

Core tip: Saliva is a useful source for analysis of proteins that can be associated in many diseases, including proliferative verrucous leukoplakia (PVL). This study showed that angiotensinogen and dipeptidyl peptidase 1 may be important in PVL development.

INTRODUCTION

Proliferative verrucous leukoplakia (PVL) is a seldom variant of oral leukoplakia with an unique behavior characterized by persistent progression to malignancy[1-7]. The rate of malignant transformation of PVL ranges from 40%-100%[1,3,5,8-12]. This variability mostly depends on the time of patient follow-up and the criteria for diagnosis of PVL[13,14]. Due to a lack of specific baseline characteristics, the PVL diagnosis is made retrospectively, based on observation of progressive clinical and microscopical characteristics of the lesions[5]. Thus, evaluation of biopsy specimens from representative areas is important in establishing the existence of epithelial dysplasia or carcinoma along with clinical evolution[15].

Recent reviews on PVL have considered lesions with lichenoid aspects that progress to classical PVL phenotype in addition to the clinical aspect of multiple hyperkeratotic white plates with verrucous and expansive nature[6,7,16]. Four histological features are encountered over the course of the disease: Hyperplasia and hyperkeratosis with no epithelial dysplasia; multifocal expansion of lesions with or without varied grade of dysplasia; verrucous hyperplasia; and verrucous carcinoma or frankly invasive oral squamous cell carcinoma (OSCC)[5-7]. Nevertheless, not all lesions present with histopathological progression involving verrucous hyperplasia and verrucous carcinoma before OSCC. Currently, four main stages may be encountered during PVL development: Initial focal involvement, geographic expansion (multifocal) over time, development of a warty appearance and finally, development of a cancer[6,7].

Despite well-accepted clinical and histopathological features, the underlying molecular aspects involved in the pathogenesis and progression of PVL are still unknown and need further investigation. An intriguing characteristic of this entity is the prevalence in older women with no exposition to known etiological factors for leukoplakia, including tobacco and alcohol consumption, suggesting a possible existence of active molecular events[17]. Although proteomic and genomic analysis of OSCC/oral leukoplakia have been described, no proteomic approaches specifically for PVL have been identified[18]. Even so, some events and candidates have been proposed, such as aberrations in cell cycle regulation, homozygous p14ARF and p16INK4a gene deletion, heterozygosity loss, variable expression of the tumor suppressor gene p53, and a rare homozygous deletion of exon 1β of the gene p14[19,20]. DNA ploidy has also been suggested to predict the malignant transformation of PVL in OSCC[5,19].

Additionally, the p53, Ki-67, Mcm-2 and Mcm-5 proteins have been identified through immunohistochemistry to have increased expression in OSCC lesions that progressed from PVL[3,5]. PVL lesions with mild or moderate dysplasia, in addition to lesions that progressed to OSCC, had high expression of Mcm-2 and Mcm-5; such molecular indicators may be useful as markers of malignant transformation of the disease, especially Mcm-2[3,5]. Similar findings detected in other conventional dysplastic premalignant lesions and OSCC have reinforced the aggressive nature of this entity, but without clarifying the true meaning of these molecules with respect to the pathogenesis or progression of PVL[7,20].

Recently, the use of proteomic-based mass spectrometry (MS) has increased interest in salivary biomarkers for numerous diseases, including OSCC[21,22]. Our interest in the salivary proteome - studied here - stems from the biochemical aspects of proteins, which are considered the most important molecules in the salivary fluid[22,23]. Salivary protein activity provides important information about the pathogenesis of many oral diseases; in addition, they have presented growing potential to revolutionise the field of etiopathogenesis and diagnosis[23,24].

Therefore, the objective of this survey was to elucidate a salivary proteome profile of sample with PVL using MS technology, in order to identify proteins that may be involved in the etiology of PVL.

MATERIALS AND METHODS

Human subjects

This study followed the guidelines of the Declaration of Helsinki and Tokyo for research in humans, and have been approved by the local ethics board of the University of Campinas (protocol number: 105/2013). All patients received verbal explanations concerning the study before signing a written informed consent. In this study, 15 patients with diagnosed PVL-according to clinical and microscopical findings (Figures 1 and 2) and after numerous appointments[3,5] - and 15 control patients with no history of cancer or any oral lesion, but possessing the same demographics, were chosen from patients assisted by the Orocentro (Oral Diagnosis Clinic) of Piracicaba Dental School. Clinicopathological data were collected retrospectively from patient charts. The inclusion criteria for the sample was a clinical and histopathological diagnosis of PVL according to the World Health Organization. We excluded patients that had an absence of saliva. Although all patients were female with no history of tobacco and alcohol consumption, these features were not part of our inclusion criteria but rather are peculiar features of patients with PVL.

Figure 1

Clinical view showing white patches on the inferior alveolar ridge.

Figure 2

White lesions on the superior alveolar ridge extending to lip mucosa.

Saliva collection and preparation

After a mouthwash with 5 mL of drinking water for removal of oral residues, whole, unstimulated saliva produced over 5 min was collected in sterile plastic tubes of 50 mL. After collection, the saliva was promptly keep on dry ice and after stored at -80 °C in 2 mL, sterile, plastic tubes. Before preparation for MS analysis, 10 μL of PMSF and 2 μL of EDTA to each 1 mL of saliva, both at a final concentration of 1 mmol/L were added, followed by centrifugation at 12000 g for 10 min at 4 °C. The supernatant was collected and protein concentrations were settled with a Bradford test (Bio-Rad, Hercules, CA, United States) prior to protein digestion.

Sample preparation for MS and LC-MS/MS analysis

Proteins (20 μg) were treated with a solution with a final concentration of 5 mmol/L dithiothreitol for 25 min at 56 °C for reduction, followed by alkylation of cysteines with 14 mmol/L iodoacetamide for 30 min at room temperature in the darkness and with trypsin (1:50, w/w). The reaction was stopped with 1% formic acid and the specimens were dried in a vacuum concentrator and reconstituted in 0.1% formic acid.

An aliquot containing 1 μg of proteins was analysed on an ETD-enabled LTQ Velos Orbitrap mass spectrometer (Thermo Fisher Scientific) connected to nanoflow liquid chromatography (LC-MS/MS) by an EASY-nLC system (Proxeon Biosystem) through a Proxeon nanoelectrospray ion source. All steps for peptides preparation and all instrument methods for the LTQ Orbitrap Velos were set up following the protocol established by Flores et al[25].

Raw data analysis

Peak lists were generated from the raw data files using Proteome Discoverer version 1.4 (Thermo Fisher Scientific) with the Sequest search engine and searched against Human Uniprot (downloaded in June 2013; 88771 sequences; 35204890 residues) with carbamidomethylation as fixed modification, oxidation of methionine as variable modification, one trypsin missed cleavage and a tolerance of 10 ppm for precursor and 1 Da for fragment ions. All datasets were processed using the workflow feature in the Proteome Discoverer software and the resulting search data were further analysed in ScaffoldQ+v.3.3.1. The scoring parameters in Scaffold were set to obtain a false discovery rate of less than 1%. Using the number of total spectra output from ScaffoldQ+, differentially expressed proteins were identified using spectral counting.

Statistical analysis

A Comma-separated values file comprising the determined proteins and their normalised spectral counts have been created for 15 healthy patients (control) and 15 PVL patients (PVL). All statistical tests were carried out using SAS® software (version 9.3; SAS Institute Inc, Cary, NC, United States, 2010). Analysis of Variance test (ANOVA) was used to compare the abundance of each protein in relation to groups. Fold change (FC) calculation for proteins with differences in relation to abundance was performed according to the equation: MV in PVL group/MV in control group = Fold change (≥ + 1.00) (MV: Mean of abundance values).

Moreover, fold changes less than 1 were used the equation below: 1/FC (< + 1.00) = FC (-1.00).

Finally, to develop a method to predict the probability of pertinence to one specified group, an analysis based on the regression logistic model was conducted in conjunction with the stepwise method for variable selection as proteins were identified. Mean values are presented with the standard error. A P < 0.05 was considered significant in all statistical tests.

RESULTS

Clinicopathological findings

All thirty patients were females, with mean age of 68.13 ± 9.82 years for PVL patients and mean age of 65.20 ± 8.36 years for control patients. Demographic and clinicopathological data of the populations are shown in Tables 1 and 2.

Table 1

Demographic aspects of 30 patients (15 control and 15 proliferative verrucous leukoplakia) with salivary proteome profile assessed by LC-MS/MS

	Control		Proliferative verrucous leukoplakia
	n	%	n	%
Age (yr)
50-59	5	33.33	4	26.66
60-69	3	20	3	20
70-79	7	46.66	7	46.66
> 80	0	0	1	6.66
Gender
Female	15	100	15	100
Male	0	0	0	0
Risk factor
Tobacco	0	0	0	0
Alcohol	0	0	0	0

Table 2

Clinicopathological data of 15 patients with proliferative verrucous leukoplakia included in the study

Case	Anatomic location	Histopathologic findings	Treatment	Follow-up time (yr)	Status
1	1a, 3a, 3b, 4, 5, 6b	Epithelial dysplasia (3a, 6b) OSCC (3b)	Surgery	11	Alive
2	2, 3b, 5a, 6a, 8, 9	Epithelial dysplasia (2, 9) OSCC (2, 8)	Surgery	5	Alive
3	2, 3b, 4, 10	Acanthosis/hiperkeratosis (2, 10) Epithelial dysplasia (2)	-	10	Alive
4	2, 5a, 6a, 7a	Acanthosis/hyperkera tosis (2) Epithelial dysplasia (2, 5a)	-	20	Alive
5	2, 5a, 5b, 6b	Acanthosis/dysplasia (6b)	-	2	Alive
6	2, 3a, 4, 5a, 9	Epithelial dysplasia (3a)	-	1	Alive
7	2, 3b	-	-	2	Alive
8	2, 6a, 7b	Acanthosis/hyperkera tosis (7b) Epithelial dysplasia (7b)	-	4	Alive
9	1b, 2, 3a, 3b, 4, 6a, 6b	Epithelial dysplasia (1b, 2)	-	1	Alive
10	2, 3b, 6a	Epithelial dysplasia (3b)	-	3	Alive
11	2, 3a, 3b, 4, 5a, 6b, 8	Epithelial dysplasia (8) Verrucous carcinoma (5a) OSCC (4)	Surgery + RT	6	Alive
12	2, 4, 5b, 6b, 8	Acanthosis/hiperkeratosis (5b) Epithelial dysplasia (2)	-	3	Alive
13	2, 3b	Epithelial dysplasia (3b) OSCC (3b)	-	3	Alive
14	1a, 1b, 2, 3a, 3b, 4, 6a, 6b	Epithelial atrophy/ hyperkeratosis (3b)	-	1	Alive
15	1a, 1b, 2, 3a, 3b, 5a, 5b, 6a, 6b, 8	Epithelial dysplasia (5a, 5b)	-	10	Alive

1a: Inferior labial mucosa; 1b: Superior labial mucosa; 2: Buccal mucosa; 3a: Tongue (ventral); 3b: Tongue (lateral border); 4: Floor of mouth; 5a: Inferior alveolar ridge; 5b: Superior alveolar ridge; 6a: Inferior fórnix; 6b: Superior fornix; 7a: Inferior gengiva; 7b: Superior gengiva; 8: Hard palate; 9: Soft palate; 10: Tonsil pillar. OSCC: Oral squamous cell carcinoma.

Salivary proteome of PVL as identified by LC-MS/MS

Using ScaffoldQ+v.3.3.1, a file of 283 proteins with less than 1% false discovery rate was created. A complete list of proteins and their respective normalized spectral counts in each patient is shown in Supplemental Table 1.

Potential biomarkers of PVL

Thirty-one proteins had statistically significant differences in relation to abundance between the control and PVL groups according to ANOVA. Among these 31 proteins, 25 had higher abundance in the control group, and six proteins were higher in PVL group (Table 3).

Table 3

Average of spectral counts, standard deviation, P value and fold-change of 31 proteins with difference in the abundance levels in proliferative verrucous leukoplakia saliva compared to the control group according to ANOVA test

Accession number	Protein (31)	Control		PVL		P value	FC
		SC	SD	SC	SD
sp|P58876|H2B1D_HUMAN	Histone H2B type 1-D	0.12	0.32	1.09	1.73	0.0413	9.08
sp|P04264|K2C1_HUMAN	Keratin, type II cytoskeletal 1	2.33	2.45	5.24	4.67	0.0418	2.24
sp|P80748|LV302_HUMAN	Ig lambda chain V-III region LOI	0.45	0.50	1.01	0.66	0.0154	2.24
sp|P31025|LCN1_HUMAN	Lipocalin-1	7.03	4.46	13.44	6.84	0.005a	1.91
sp|P04080|CYTB_HUMAN	Cystatin-B	1.67	1.38	3.19	2.25	0.0338	1.91
sp|Q01469|FABP5_HUMAN	Fatty acid-binding protein, epidermal	2.22	1.36	3.99	2.04	0.009a	1.79
sp|P68032|ACTC_HUMAN	Actin, alpha cardiac muscle 1	9.66	3.79	6.78	3.71	0.0446	-1.42
sp|P02814|SMR3B_HUMAN	Submaxillary gland androgen-regulated protein 3B	18.26	9.40	11.05	5.19	0.0148	-1.66
sp|P06744|G6PI_HUMAN	Glucose-6-phosphate isomerase	4.21	2.89	2.12	2.05	0.0309	-2.00
sp|P30740|ILEU_HUMAN	Leukocyte elastase inhibitor	3.93	1.57	1.87	1.75	0.002a	-2.12
sp|Q06830|PRDX1_HUMAN	Peroxiredoxin-1	2.11	1.41	0.87	1.04	0.0106	-2.43
sp|P62328|TYB4_HUMAN	Thymosin beta-4	1.09	1.01	0.40	0.64	0.0323	-2.77
sp|Q96HE7|ERO1A_HUMAN	ERO1-like protein alpha	0.93	0.67	0.32	0.59	0.0126	-2.94
sp|P23528|COF1_HUMAN (+1)	Cofilin-1	1.66	1.79	0.54	0.99	0.0423	-3.12
sp|Q02818|NUCB1_HUMAN	Nucleobindin-1	0.82	0.56	0.27	0.47	0.007a	-3.12
sp|P52566|GDIR2_HUMAN	Rho GDP-dissociation inhibitor 2	1.61	1.76	0.49	0.79	0.0317	-3.33
sp|Q01518|CAP1_HUMAN	Adenylyl cyclase-associated protein 1	3.18	2.86	0.83	0.97	0.005a	-3.84
sp|P26038|MOES_HUMAN	Moesin	2.44	2.52	0.60	0.63	0.0107	-4.16
sp|P61586|RHOA_HUMAN	Transforming protein RhoA	0.53	0.63	0.13	0.36	0.0453	-4.16
sp|P27797|CALR_HUMAN	Calreticulin	0.61	0.65	0.13	0.35	0.0172	-4.76
sp|P06737-2|PYGL_HUMAN (+1)	Isoform 2 of Glycogen phosphorylase, liver form	1.70	2.11	0.34	0.63	0.0239	-5.00
sp|P61158|ARP3_HUMAN	Actin-related protein 3	0.97	1.33	0.13	0.35	0.0268	-7.69
sp|P43490|NAMPT_HUMAN	Nicotinamide phosphoribosyl transferase	0.53	0.64	0.07	0.26	0.0139	-7.69
tr|A6NNY3|A6NNY3_HUMAN	Chitinase-3-like protein 2	0.61	0.75	0.07	0.28	0.0143	-9.09
sp|P30041|PRDX6_HUMAN	Peroxiredoxin-6	0.60	0.87	0.05	0.21	0.0255	-12.5
sp|P01019|ANGT_HUMAN	Angiotensinogen	0.83	0.73	0.07	0.26	0.0006a	-12.5
sp|P0C0L5|CO4B_HUMAN	Complement C4-B	0.93	1.02	0.07	0.28	0.004a	-14.28
sp|P53634|CATC_HUMAN	Dipeptidyl peptidase 1	0.66	0.98	0.00	0.00	0.015	NC
sp|P22392-2|NDKB_HUMAN (+1)	Isoform 3 of Nucleoside diphosphate kinase B	0.58	0.60	0.00	0.00	0.000a	NC
sp|P22314|UBA1_HUMAN	Ubiquitin-like modifier-activating enzyme 1	0.38	0.59	0.00	0.00	0.0189	NC
sp|Q9UHA7|IL36A_HUMAN	Interleukin-36 alpha	0.43	0.68	0.00	0.00	0.0197	NC

FC: Fold-change; Up-regulation: FC ≥ +1.00; Down-regulation: FC < +1.00;

P ≤ 0.01 vs control; NC: Not calculated; SC: Spectral counts; SD: Standard deviation.

Angiotensinogen and dipeptidyl peptidase 1 are potential biomarkers for group predictors

Logistic regression screening tests were used as a form of group differentiation and two potential biomarkers met the final prediction: Angiotensinogen (AGT) and dipeptidyl peptidase 1 (DPP1). When likelihood analysis was applied to the two variables selected stepwise within the logistic regression, the following logistic function was obtained: Logit = 2.5647 - 12.4678 × P192 - 4.3839 × P206.

A negative logit indicated control group landmarks while a positive logit indicated PVL landmarks. The logit value can also be used to calculate the probability of PVL group using the function below, where “e” represents the Neperian constant equal to 2.71828:

PPVL= elogit(p)/(1 + elogit(p)).

Where PPVL represents the probability of relevance of an individual patient be of PVL group (PPVL), and the degree of confidence can be calculated by inserting the logit value. Combining the two selected variables in this study, a concordance index of 94.2% was found. The parameters selected by the stepwise method and their estimates are: Intersection (2.5647), P192 (DPP1) (-12.4678) and P206 (AGT) (-4.3839). The reliability values of the model built by the logistic regression test are: Percent concordant: 91.1; C value: 0.942 (area under Roc curve); P value: 0.0187; correct event: 14 control, 14 PVL; sensitivity: 93.3%; specificity: 93.3%.

DISCUSSION

PVL is a well-recognized form of oral leukoplakia which presents with particular features and certain molecular aspects. Previous studies have shown certain features of these intriguing lesion, where even no dysplastic lesions can present positivity for Mcm-2 positive, can be aneuploidy and can transform in cancer[3,5]. However, biomolecules and mechanisms involved in etiopathogenesis and progression remain obscure. A literature review of 84 English PVL articles revealed only 10 studies that described molecular aspects of PVL[3,5,10,20,26-31]. In addition, no previous studies investigated the presence of potential PVL biomarkers through proteome salivary analysis using LC-MS/MS. The approach presented here may combine this oral malignant condition as well as the secreted proteins associated with this lesion.

In comparison to serum, saliva presents with a lower amount of informative analytes, which presents a major challenge for research[32,33]. However, by using techniques well-suited for detecting small quantities such as LC-MS/MS, salivary components - including proteins that can be found in blood - can be also measured[34,35]. Thus, saliva can be considered as the blood stream of the oral cavity and proteins with different profile levels can be detected; analyses of these proteins can lead to their association with pathologies, leading to the discovery of potential biomarkers[34,35].

Among the 283 proteins identified in the saliva samples collected here, 31 proteins showed statistical significance difference in relation to abundance, with 25 proteins having higher abundance in the control group and six proteins having higher abundance in PVL group (Table 3). Amongst there, two proteins found in low abundance in PVL, which were AGT (ANOVA P = 0.0006, FC-12.5) and DPP1 (ANOVA P = 0.0150, FC: not calculated), that were identified as better biological parameters for model built associated to PVL patients according to regression logist test. The FC of DPP1 was not calculated due to its total loss of expression in PVL group confirming its exclusive presence in the control group.

Based on these findings, both proteins can be considered as the first salivary proteins with biomarker potential involved in the etiology of PVL. AGT (61 kDa) is a circulating protein, and mostly known for its role as a precursor of the renin-angiotensin-aldosterone system, where it is synthesized and secreted mostly by hepatocytes, adipocytes and astrocytes[35-37]. Physiologically, AGT is a unique precursor of the angiotensin peptides and the only natural renin substrate[36]. The hydrolysis of AGT into angiotensin I by renin results in further activation by angiotensin-converting enzyme, which transforms angiotensin I into angiotensin II and III[36,37]. Moreover, AGT is derived from serine protease inhibitor, which has a role in blood pressure control as a potent vasoconstrictor of arteries and veins, as well as in prothrombotic action[37,38].

Interestingly, recent studies have also related AGT with in vitro cell inhibition of human endothelial proliferation, migration and angiogenesis[37-39]. Anti-tumoral effects of AGT - which include blocking of primary tumor growth, suppression of intratumoral vascularisation, and decreased number of metastases - were observed in in vivo models[37,39]. Moreover, AGT was found down-regulated in tissue samples of esophageal squamous cell carcinoma and in the serum of subjects with recurrent head and neck cancer, demonstrating that it may be normally involved in impeding tumorigenesis[38,40]. A previous study also demonstrated that women with low amount of AGT presented an elevated risk of breast cancer[38,41].

In the present study, low AGT abundance was observed in PVL patients with a fold change of -12.5, suggesting that lower expression of this molecule can be associated with increased risk for PVL and indicating a possible role of AGT as an etiologic marker. No difference was observed in the expression or abundance within the PVL group in relation to patients that developed oral cancer, but these results were expected since patients with PVL probably will develop cancer during follow-up.

DPP1 (51kDa) also called as cathepsin c, cathepsin J, dipeptidyl transferase and dipeptidyl aminopeptidase (UNIPROT P53634) is a lysosomal cysteine enzyme that participates in intracellular protein degradation[42]. The activity of DPP1 is crucial in the differentiation of promyelocytes into mature neutrophils, and in the production of neutrophil elastase, proteinase-3, and cathepsin G[42,43]. The most common pathology involved with DPP1 mutations is Papillon-Lefèvre syndrome, an autosomal recessive condition related to the loss of enzymatic activities of these three serine proteases in neutrophils, causing palmoplantar keratosis and severe, early periodontal disease[44].

In addition to its involvement in physiological processes, an intrinsic relation among squamous carcinogenesis and DPP1 expression was demonstrated in relation to tumor growth and angiogenesis[45]. Among the tumors involved, squamous cell carcinoma of the oral cavity, nasopharynx and thyroid exhibited increased DPP1 expression when compared to control samples[45]. Nevertheless, DPP1 did not show an effect in the formation or progression in pancreatic endocrine tumors, presenting expression in innate immune cells[46]. Interestingly, dipeptidyl peptidase IV (DPPIV) is another cathepsin expressed in normal epithelial cells, but has decreased expression in various cancers, such as melanoma, lung and prostatic cancer suggesting that a decrease DPPIV expression can be a critical event during cancer progression[47-50].

In the present study, lower expression of DPP1 was found in PVL patients; although some articles demonstrated increased expression of this molecule and its association with tumor progression, one study showed a loss of DPP1 expression that was related with cancer[46]. No significant abundance differences were observed between PVL patients at various disease stages, including patients that developed oral cancer. This finding reinforces the relentless malignant evolution of PVL and the diagnostic potential of DPP1. Cathepsins appear to play an important role in preventing tumor formation and/or progression, with AGT showing similar capabilities in PVL patients. Nevertheless, a deeper investigation of these proteins to analyze their role in PVL disease is necessary.

This study revealed evidence about the promising etiologic potential of the proteins AGT and DPP1, and how these biomolecules may be associated with the development of PVL. However, our study focused on only a limited number of patients, all of whom are undergoing a very dynamic disease process; a larger sample size and standardization of sample collection with successive investigations could improve future studies. Moreover, more saliva samples would improve logit formula validation, an important step in following patients that go on to develop oral cancer.

In conclusion, there were no known etiologic factors of PVL previously; however, close contact of saliva with the PVL lesions presented a potential source for the detection of possible biomolecules through salivary proteome examination. Using this method, our results identified that AGT and DPP1 appear to play a role in PVL etiology and progression. Additional studies about the profile of the salivary proteome are necessary and may contribute to improving our understanding of this pattern of expression for AGT and DPP1.

ACKNOWLEDGMENTS

We would like to thank our technician, Romenia Ramos Domingues, of the Mass Spectrometry Lab of the Brazilian Biosciences National Laboratory - LNBio, CNPEM, Campinas, Brazil.

COMMENTS

Background

Proliferative verrucous leukoplakia (PVL) is a seldom variant of oral leukoplakia with an unique behavior characterized by persistent progression to malignancy. This variability mostly depends on the time of patient follow-up and the criteria for diagnosis of PVL. Due to a lack of specific baseline characteristics, the PVL diagnosis is made retrospectively, based on observation of progressive clinical and microscopical characteristics of the lesions. Four histological features are encountered over the course of the disease: (1) hyperplasia and hyperkeratosis with no epithelial dysplasia; (2) multifocal expansion of lesions with or without varied grade of dysplasia; (3) verrucous hyperplasia; and (4) verrucous carcinoma or frankly invasive oral squamous cell carcinoma (OSCC).

Research frontiers

Currently, four main stages may be encountered during PVL development: Initial focal involvement, geographic expansion (multifocal) over time, development of a warty appearance and finally, development of a cancer. Although proteomic and genomic analysis of OSCC/oral leukoplakia have been described, no proteomic approaches specifically for PVL have been identified. Recently, the use of proteomic-based mass spectrometry (MS) has increased interest in salivary biomarkers for numerous diseases, including OSCC.

Innovations and breakthroughs

In the present study, lower expression of dipeptidyl peptidase 1 (DPP1) was found in PVL patients; although some articles demonstrated increased expression of this molecule and its association with tumor progression. No significant abundance differences were observed between PVL patients at various disease stages, including patients that developed oral cancer. This finding reinforces the relentless malignant evolution of PVL and the diagnostic potential of DPP1. Cathepsins appear to play an important role in preventing tumor formation and/or progression, with angiotensinogen (AGT) showing similar capabilities in PVL patients.

Applications

This study revealed evidence about the promising etiologic potential of the proteins AGT and DPP1, and how these biomolecules may be associated with the development of PVL.

Peer-review

The manuscript is interesting and presents a novel diagnostic tool. The purpose, background, and results of this study are interesting and this manuscript is well written.