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A review of research on salivary biomarkers for oral cancer detection

Clinical and Translational Medicine volume 3, Article number: 3 (2014) Cite this article

Abstract

Using saliva for disease diagnostics and health surveillance is a promising approach as collecting saliva is relatively easy and non-invasive. Over the past two decades, using salivary biomarkers specifically for early cancer detection has attracted much research interest, especially for cancers occurring in the oral cavity and oropharynx, for which the five-year survival rate (62%) is still one of the lowest among all major human cancers. More than 90% of oral cancers are oral squamous cell carcinoma (OSCC) and the standard method for detection is through a comprehensive clinical examination by oral healthcare professionals. Despite the fact that the oral cavity is easily accessible, most OSCCs are not diagnosed until an advanced stage, which is believed to be the major reason for the low survival rate, and points to the urgent need for clinical diagnostic aids for early detection of OSCC. Thus, much research effort has been dedicated to investigating potential salivary biomarkers for OSCC, and more than 100 such biomarkers have been reported in the literature. However, some important issues and challenges have emerged that require solutions and further research in order to find reliable OSCC salivary biomarkers for clinical use. This review article provides an up-to-date list of potential OSCC salivary biomarkers reported as of the fall of 2013, and discusses those emerging issues. By raising the awareness of these issues on the part of both researchers and clinicians, it is hoped that reliable, specific and sensitive salivary biomarkers may be found soon—and not only biomarkers for early OSCC detection but also for detecting other types of cancers or even for monitoring non-cancerous disease activity.

Introduction

Worldwide, cancers of the oral cavity and pharynx are the 6th most common type [1]. Although the incidence of oral and pharyngeal cancers is not considered high in the US (it accounts for approximately 3% of all malignancies in men and 2% of those in women) [1]-- its five-year survival rate has remained around 62%-- in contrast to the five-year survival rates for breast cancer (89%) and prostate cancer (99%) [2]. More than 90% of the oral cancers are squamous cell carcinomas (OSCC), which arise from the epithelial lining of the oral cavity. Even though the oral cavity is easily accessible for direct visual examination, most OSCCs are not diagnosed until an advanced stage, which is believed to be the major reason for the low survival rate. This underscores the importance of early and accurate detection by clinicians, as well as the need to educate the public about oral cancer risk factors and prevention.

In responding to the call for early detection of OSCC, several diagnostic adjuncts have been developed, or currently are in development, including the use of salivary biomarkers [3–5]. Saliva has been found to contain constituents that reflect the diseased or physiological state of the human body, and hence could be utilized for diagnostic purposes [6–8]. The search for reliable salivary biomarkers for early detection of OSCC has developed rapidly, spurred on by the fact that collecting saliva is relatively easy and non-invasive, compared to the drawing of blood. From the late 1990s until the present, more than 40 research studies have been published and more than 100 different salivary constituents have been suggested as potential OSCC salivary biomarkers (see Table 1). Several excellent reviews have been previously published concerning the basis for salivary diagnostics, and the history and evolution of salivary proteomic, transcriptomic, genomic, and metabolomic research for oral cancer detection [6, 7, 9–14]. This review article will provide an up-to-date list of potential OSCC salivary biomarkers, as of the fall of 2013, and will focus on some emerging issues/challenges that seem to be major roadblocks on the way to bringing reliable salivary biomarkers into actual clinical use. The intention of this review is to increase awareness of these issues on the part of both researchers and clinicians, with the hope that good solutions may be generated more quickly by group efforts in this field. Addressing these issues not only will serve to accelerate progress toward finding reliable salivary biomarkers for early OSCC detection, but also should have a positive effect on the search of reliable salivary biomarkers for other types of cancer detection or even for monitoring non-cancerous disease activity.

Table 1 Potential salivary biomarkers for oral cancer detection, reported as of 2013
Full size table

Review

Whole saliva (oral fluid) is unique and complex, both in its sources and composition. It consists not only of secretions from the three major salivary glands (parotid, submandibular and sublingual) and the minor glands, but also gingival crevicular fluid, oral mucosa transudate, secretions from nasal and pharyngeal mucosa, non-adherent bacteria, desquamated oral epithelial cells, keratin debris, blood cells, and perhaps food or medication residuals [8]. The functions of saliva include lubrication, digestion, antimicrobial activity, facilitating remineralization of the tooth enamel, and maintaining normal taste sensation [15]. These important functions are achieved by the various chemical components of saliva including water, inorganic compounds (ions), organic compounds (non-proteins and lipids), protein/polypeptides, and hormones [15]. Salivary proteins and polypeptides constitute a significant portion of the mix, and play an important role in carrying on the main functions of saliva. So far, more than 2300 proteins and peptides have been found in human saliva [16]. The most abundant proteins are α-amylase, albumin, cystatins, hystatins, secretory-IgA, lactoferrin, mucins, lysozymes, proline rich proteins, statherin and transferrin--which together account for more than 98% of the total salivary proteins [15, 17]. Most of the potential OSCC salivary biomarkers are also salivary proteins (see Table 1). However, except for three, α-amylase, statherin, and transferrin, those proteins, as well as the non-protein OSCC salivary biomarker candidates, are present in a very low concentration in saliva and require methods/instruments with high sensitivity for detection.

Reported potential salivary biomarkers for oral cancer detection

So far, more than 100 potential OSCC salivary biomarkers have been reported in the literature, based mainly on comparing the levels found in OSCC patients to the levels found in non-OSCC normal controls (see Table 1) [18–62]. Some of these potential OSCC salivary biomarkers have been investigated by more than one research group; however, in some studies, no significant differences have been found in IL-6 [23], IL-8 [34, 35] and endothelin-1 [63] levels between the OSCC patients and their respective control groups.

The research methodology involved so far in investigating these potential OSCC salivary biomarkers can be grouped according to the types of biomarker, as follows:

  1. 1.

    Non-organic compound biomarkers

    Flame photometry, atomic absorption, and spectrophotometry [55]

  2. 2.

    Peptide or protein biomarkers

    High performance liquid chromatography (HPLC) [28, 62]

    Enzyme-linked immunosorbent assay (ELISA) [19, 21, 23, 24, 27, 34–36, 39, 40, 46, 49, 54, 55, 57]

    Radio-immunoassay [25]

    Two-dimensional gel electrophoresis (2DE), followed by mass spectrometry (MS) [59]

    2DE and reverse-phase liquid chromatography (LC), followed by LC-tandem MS [29]

    Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) [20, 60]

    2DE followed by MALDI-TOF MS [45]

  3. 3.

    DNA, mRNA or microRNA biomarkers

    Polymerase chain reaction (PCR) [18, 37, 51]

    Quantitative PCR (qPCR) [31, 33, 41–44, 56]

    Microarrays followed by qPCR [22]

  4. 4.

    Metabolomic biomarkers

    Capillary electrophoresis TOF MS [47]

    HPLC with quadrupole/TOF MS [48]

  5. 5.

    Miscellaneous biomarkers (chemical and enzyme activity)

    HPLC [30]

    Colorimetric (mostly commercially available) assays [26, 32, 49, 50, 52, 53, 58]

Most OSCC salivary biomarker research has involved investigating the constituents of the whole saliva in an unstimulated state, although two studies did investigate the stimulated saliva samples [28, 36]. After a saliva sample is collected, a centrifugation processing procedure is often performed to remove the solid constituents (desquamated oral epithelial cells, keratin debris, blood cells, bacteria and food residuals, if any), but some studies appear to have analyzed the whole saliva content without centrifugation [46, 54, 58, 63, 64]. After separating out those solid constituents, samples were often stored in a frozen state until further analysis. Most salivary biomarker research studies have investigated only the supernatant (cell-free) portion of the saliva samples, while other studies investigated only the pellet portion of the saliva [50, 51, 61] or both the supernatant and the pellet portions [49] after centrifugation.

Issues/challenges in OSCC salivary biomarker research

1. A lack of standardization of conditions and methods of saliva sample collection, processing, and storage

Despite the fact that more than 100 potential OSCC salivary biomarkers have been reported, there has been no standardization regarding the condition of the subjects from whom the saliva samples are collected (e.g., the timing in regard to prior food and drink intake, or the use of oral hygiene products). Similarly, a uniform method has not been established for how the saliva samples are collected, processed and stored prior to measurement and comparison of the biomarker levels in the groups studied.

For example, in regard to participant requirements at the time of saliva collection, all researchers collected saliva samples in the morning, yet some researchers collected saliva samples from participants at least one hour after food intake [23, 25, 26, 63]; some collected saliva at least 1 1/2 hours after food intake [24]; and in ours and another study, we collected saliva in the morning before the participants ate, drank or performed any oral hygiene procedures [30, 39–41]. In regard to saliva processing methods, most investigators centrifuged the saliva samples immediately after collection. However, they carried out this procedure with various degrees of centrifugal force and for various lengths of time, such as 800 g for 10 minutes [25, 26, 49]; 2000 g for 10 minutes [52]; 2600 g for 15 minutes [23, 32, 40, 41, 43]; 14,000 g for 20 minutes [59]; 2000 rpm (gravity not specified) for 5 minutes [53]; 3500 rpm (gravity not specified) for 15 minutes [34]; 14,000 rpm (gravity not specified) for 20 minutes [21]. Others stored the whole saliva samples at −80°C immediately after collection, then later thawed and centrifuged the samples at 4500 g for 20 minutes [35] or 6000 rpm (gravity not specified) for 20 minutes [24]. In regard to saliva sample preservation, we and some other investigators added proteinase inhibitors or RNase inhibitors to preserve salivary proteins and RNAs, respectively [22, 29, 39–41], but most investigators did not add any inhibitors. In regard to saliva sample storage, most researchers stored the saliva samples in −80°C, although others stored samples at −20°C [28, 52, 54] or 4°C [30].

The differences in these factors among the different studies raises the question as to whether the levels of the potential OSCC salivary biomarkers reported in any one lab could be compared to the levels of the same biomarker reported in any other lab. In fact, for the reported potential biomarkers which have been investigated by more than one study, a wide variability was found in the levels of both the diseased and the control groups among different labs, and the different methods used for collecting and handling the saliva samples are likely to be one of the reasons for that variability. As research efforts will continue to be devoted to this promising field, standardization of saliva collection, processing and storage methods is essential, so that all the research findings among different research groups can be compared and validated, and progress accelerated toward finding the most reliable validated OSCC salivary biomarkers. Without such standardization and validation of biomarkers, valuable research resources are being squandered, because reported results cannot be translated into the desired clinical use and patient outcomes. A panel of experts in this research field is needed to discuss this issue and find a way to establish the standards needed.

2. Variability in the levels of potential OSCC salivary biomarkers in both non-cancerous individuals and OSCC patients, suggest unknown confounding factors

The wide variations noted in the reported levels of some of the salivary biomarker candidates among different research labs obviously creates difficulties in determining the reference level and the OSCC level for any given potential OSCC salivary biomarker. For example, salivary IL-6 and IL-8 are two of the most studied biomarkers, not only for potential OSCC detection but also for monitoring disease activity of chronic periodontitis and oral lichen planus (OLP)--a chronic mucocutaneous inflammatory disease that affects about 2% of the world population [65, 66]. As can be seen in Table 2[23, 24, 34, 35, 38, 67–72], wide variations in the reported salivary IL-6 and IL-8 levels among the different studies were noted even in the healthy controls, with the average IL-6 levels ranging from 1.4 ± 0.9 pg/ml [24] to 47.46 ± 18.74 pg/ml [67], and IL-8 levels ranging from 250 pg/ml [23, 34, 35] to 1945 ± 181 pg/ml [68]. When the reference levels vary so much among the different studies, it is impossible to determine what ranges of salivary IL-6 or IL-8 levels are likely to indicate OSCC development. For example, the average salivary IL-8 levels found in OSCC patients in two studies were 720 pg/ml [23] and 1093.7 ± 1089.0 pg/ml [35], respectively --in contrast to 250 pg/ml and 700.7 ± 1031.5 pg/ml, respectively, in healthy controls. The average salivary IL-8 levels found in chronic periodontitis and healthy controls reported by Teles et al.[68] were 2268 ± 111 and 1945 ±181 pg/ml, respectively, both of which would most likely be considered in the concentration range for OSCC by the two previous studies reported by St John et al. [23] and SahebJamee et al. [35].

Table 2 Salivary Concentrations of IL-6 and IL-8 (pg/ml) in OSCC, OLP, and chronic periodontitis patient groups
Full size table

These wide variations in the levels of the same salivary constituent across the different research studies could be due at least partly to the different processing methods used, as described above. However, they may also possibly be due to inherent biological variations within different individuals and groups. In fact, some studies have reported intra- and inter-subject variability in salivary proteome and in specific potential OSCC salivary protein and mRNA biomarkers in studies of healthy adults [73–75]. Inherent biological variations are known to create difficulties in determining the reference values for biological samples in clinical laboratories [76]. Such variations in salivary constituents could be attributed to differences in ethnic background, geographic locations, age, gender, non-neoplastic systemic diseases, dietary habits, medications being taken or other factors. For example, significantly increased levels in one of the potential salivary OSCC salivary biomarkers, endothein-1, have been reported in patients with chronic heart failure [77] or upper gastrointestinal diseases such as gastric ulcer, duodenal ulcer and gastritis [78] in the absence of OSCC. Age-related reduction in the concentrations of certain salivary proteins [79, 80] has also been reported, although whether there are any significant age-related changes in any of the reported potential OSCC salivary biomarkers has not been determined. In summary, the intra- and inter-subject variability points to an urgent need for more research regarding possibly underlying causes for these inherent biological variations, in order to refine and determine the appropriate reference range for any potential OSCC salivary biomarkers.

3. The need for further validation of OSCC salivary biomarkers

Validation in the presence of common oral inflammatory conditions

Ideally, a good clinical test requires high sensitivity and specificity. The oral cavity is commonly subject to inflammation from a variety of causes, including trauma, dental plaque, infection and certain mucocutaneous inflammatory diseases. Whether such oral inflammation (non-neoplastic conditions) affects the levels of the potential OSCC salivary biomarkers is essentially unknown, because most studies have investigated the potential salivary biomarker levels only in OSCC patients and non-OSCC controls, without regard for other inflammatory conditions that might have been present [9, 21–27]. If the levels of any of the potential OSCC salivary biomarkers are increased in the presence of oral inflammation to a degree that there is no significant difference between those levels and the levels found in OSCC patients, it would result in a high false positive rate and greatly reduce the value of that biomarker in clinical use for OSCC detection.

In review of the reported potential OSCC salivary biomarkers, many of them-- such as IL-6[24, 34, 35], IL-8[23, 24, 70], IL-1β[22, 70], basic fibroblast growth factor[27], and molecules related to oxidative stress--[26, 30] are known to be important factors involved in inflammation and/or wound healing [81, 82]. Indeed, the levels of some of these salivary constituents have been reported to be significantly higher or lower in periodontitis or OLP patients who did not have OSCC [67, 69, 71, 72, 83, 84]. Therefore, research that validates any potential OSCC salivary biomarker with individuals having common non-neoplastic oral inflammatory diseases is necessary in order to establish the reliability of that salivary OSCC biomarker.

Validation in the presence of other types of human cancers

The advantages (being non-invasive and easy to collect) of using saliva over blood for disease detection and monitoring of disease progression encourage salivary biomarker research activities not only for OSCC detection but also for detection of other types of cancers. For instance, several potential salivary biomarkers for breast and lung cancer detection have been reported in recent years [85–92]. Some of the reported salivary biomarkers for breast carcinomas, such as CA125 [91], haptoglobin, profilin-1 and transferrin [87]; and one reported salivary biomarker for lung cancer, S100 calcium binding protein A9 [86], are the same ones reported as potential OSCC salivary biomarkers [25, 29, 57, 59]. Salivary annexin A1, carbonic anhydrase VI, S100 calcium binding protein, and lipocalin have also been reported as potential biomarkers for both breast and lung cancers [86, 87]. These findings suggest that the levels of at least some salivary constituents could be significantly changed by the presence of more than one type of cancer, a fact which points to the necessity of validating the specificity of the reported potential OSCC salivary biomarkers with patients who have other types of cancers.

Conclusion

Salivary biomarkers represent a promising non-invasive approach for oral cancer detection, and an area of strong research interest. However, some issues/challenges have arisen that need to be resolved in order to establish this approach as a reliable, highly sensitive and specific method for clinical use. These issues include a lack of standardization for saliva sample collection, processing, and storage; wide variability in the levels of potential OSCC salivary biomarkers in both non-cancerous individuals and OSCC patients; and a need for further validation of OSCC salivary biomarkers with individuals who have either a chronic oral inflammatory disease or other types of cancers, but do not have OSCC. These issues call for convening a panel of researchers in this field to aim for eventual standardization, plus further research, especially concerning biological variance and physiological changes affecting the potential oral cancer salivary biomarkers. The experience gained in OSCC salivary biomarker research also can serve as an important reference in salivary diagnostics, including identifying, validating, and applying salivary biomarkers for other types of cancer detection and for monitoring non-cancerous disease activity.

Abbreviations

OSCC:

Oral squamous cell carcinoma

OLP:

Oral lichen planus

HPLC:

High performance liquid chromatography

ELISA:

Enzyme-linked immunosorbent assay

RIA:

Radioimmunoassay

MALDI-TOF MS:

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

2DE:

Two-dimensional gel electrophoresis

qPCR:

Quantitative polymerase chain reaction.

References

  1. Chi AC: Squamous cell carcinoma. In Oral and Maxillofacial Pathology. Edited by: Neville BW, Damm DD, Allen CM, Bouquot JE. St. Louis: Saunders Elsevier; 2009:409–421.

    Google Scholar 

  2. Siegel R, Naishadham D, Jemal A: Cancer statistics, 2013. CA Cancer J Clin 2013, 63(1):11–30. 10.3322/caac.21166

    Article  PubMed  Google Scholar 

  3. Cheng Y, Wright J: Advances in diagnostic adjuncts for oral squamous cell carcinoma. The Open Pathology Journal 2011, 5: 3–7. 10.2174/1874375701105010003

    Article  Google Scholar 

  4. Kalmar JR: Advances in the detection and diagnosis of oral precancerous and cancerous lesions. Oral Maxillofacial Surg Clin N Am 2006, 18: 465–82. 10.1016/j.coms.2006.06.013

    Article  Google Scholar 

  5. Patton LL, Epstein JB, Kerr AR: Adjunctive techniques for oral cancer examination and lesion diagnosis: a systematic review of the literature. J Am Dent Assoc 2008, 139(7):896–905. 10.14219/jada.archive.2008.0276

    Article  PubMed  Google Scholar 

  6. Wong DT: Salivary diagnostics for oral cancer. J Calif Dent Assoc 2006, 34(4):303–8.

    PubMed  Google Scholar 

  7. Wong DT: Salivary diagnostics powered by nanotechnologies, proteomics and genomics. J Am Dent Assoc 2006, 137(3):313–21. 10.14219/jada.archive.2006.0180

    CAS  Article  PubMed  Google Scholar 

  8. Castagnola M, Picciotti PM, Messana I, Fanali C, Fiorita A, Cabras T, Calo L, Pisano E, Passali GC, Iavarone F, Paludetti G, Scarano E: Potential applications of human saliva as diagnostic fluid. Acta Otorhinolaryngol Ital 2011, 31(6):347–57.

    PubMed Central  CAS  PubMed  Google Scholar 

  9. Wu J, Yi C, Chung H, Wang D, Chang W, Lee S, Lin C, Yang Y, Yang W: Potential biomarkers in saliva for oral squamous cell carcinoma. Oral Oncology 2010, 46: 226–31. 10.1016/j.oraloncology.2010.01.007

    CAS  Article  PubMed  Google Scholar 

  10. Zimmermann B, Wong DT: Salivary mRNA targets for cancer diagnostics. Oral Oncol 2008, 44: 425–429. 10.1016/j.oraloncology.2007.09.009

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  11. Nagler RM: Saliva as a tool for oral cancer diagnosis and prognosis. Oral Oncol 2009, 45(12):1006–10. 10.1016/j.oraloncology.2009.07.005

    CAS  Article  PubMed  Google Scholar 

  12. Brinkmann O, Wong DT: Salivary transcriptome biomarkers in oral squamous cell cancer detection. Adv Clin Chem 2011, 55: 21–34.

    CAS  Article  PubMed  Google Scholar 

  13. Zimmermann BG, Park NJ, Wong DT: Genomic targets in saliva. Ann N Y Acad Sci 2007, 1098: 184–91. 10.1196/annals.1384.002

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  14. Zhang A, Sun H, Wang X: Saliva metabolomics opens door to biomarker discovery, disease diagnosis, and treatment. Appl Biochem Biotechnol 2012, 168(6):1718–27. 10.1007/s12010-012-9891-5

    CAS  Article  PubMed  Google Scholar 

  15. Chiappin S, Antonelli G, Gatti R, De Palo EF: Saliva specimen: a new laboratory tool for diagnostic and basic investigation. Clin Chim Acta 2007, 383(1–2):30–40.

    CAS  Article  PubMed  Google Scholar 

  16. Bandhakavi S, Stone MD, Onsongo G, Van Riper SK, Griffin TJ: A dynamic range compression and three-dimensional peptide fractionation analysis platform expands proteome coverage and the diagnostic potential of whole saliva. J Proteome Res 2009, 8(12):5590–600. 10.1021/pr900675w

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  17. Messana I, Inzitari R, Fanali C, Cabras T, Castagnola M: Facts and artifacts in proteomics of body fluids. What proteomics of saliva is telling us? J Sep Sci 2008, 31(11):1948–63. 10.1002/jssc.200800100

    CAS  Article  PubMed  Google Scholar 

  18. Liao PH, Chang YC, Huang MF, Tai KW, Chou MY: Mutation of p53 gene codon 63 in saliva as a molecular marker for oral squamous cell carcinomas. Oral Oncol 2000, 36(3):272–6. 10.1016/S1368-8375(00)00005-1

    Article  PubMed  Google Scholar 

  19. Warnakulasuriya S, Soussi T, Maher R, Johnson N, Tavassoli M: Expression of p53 in oral squamous cell carcinoma is associated with the presence of IgG and IgA p53 autoantibodies in sera and saliva of the patients. J Pathol 2000, 192(1):52–7. 10.1002/1096-9896(2000)9999:9999<::AID-PATH669>3.0.CO;2-C

    CAS  Article  PubMed  Google Scholar 

  20. Chen YC, Li TY, Tsai MF: Analysis of the saliva from patients with oral cancer by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Rapid Commun Mass Spectrom 2002, 16(5):364–9. 10.1002/rcm.588

    CAS  Article  PubMed  Google Scholar 

  21. Pickering V, Jordan RC, Schmidt BL: Elevated salivary endothelin levels in oral cancer patients–a pilot study. Oral Oncol 2007, 43(1):37–41. 10.1016/j.oraloncology.2005.12.027

    CAS  Article  PubMed  Google Scholar 

  22. Li Y, St John MA, Zhou X, Kim Y, Sinha U, Jordan RC, Eisele D, Abemayor E, Elashoff D, Park NH, Wong DT: Salivary transcriptome diagnostics for oral cancer detection. Clin Cancer Res 2004, 10(24):8442–50. 10.1158/1078-0432.CCR-04-1167

    CAS  Article  PubMed  Google Scholar 

  23. St John MA, Li Y, Zhou X, Denny P, Ho CM, Montemagno C, Shi W, Qi F, Wu B, Sinha U, Jordan R, Wolinsky L, Park NH, Liu H, Abemayor E, Wong DT: Interleukin 6 and interleukin 8 as potential biomarkers for oral cavity and oropharyngeal squamous cell carcinoma. Arch Otolaryngol Head Neck Surg 2004, 130(8):929–35. 10.1001/archotol.130.8.929

    Article  PubMed  Google Scholar 

  24. Rhodus NL, Ho V, Miller CS, Myers S, Ondrey F: NF-kappaB dependent cytokine levels in saliva of patients with oral preneoplastic lesions and oral squamous cell carcinoma. Cancer Detect Prev 2005, 29(1):42–5. 10.1016/j.cdp.2004.10.003

    CAS  Article  PubMed  Google Scholar 

  25. Nagler R, Bahar G, Shpitzer T, Feinmesser R: Concomitant analysis of salivary tumor markers–a new diagnostic tool for oral cancer. Clin Cancer Res 2006, 12(13):3979–84. 10.1158/1078-0432.CCR-05-2412

    CAS  Article  PubMed  Google Scholar 

  26. Bahar G, Feinmesser R, Shpitzer T, Popovtzer A, Nagler RM: Salivary analysis in oral cancer patients: DNA and protein oxidation, reactive nitrogen species, and antioxidant profile. Cancer 2007, 109(1):54–9. 10.1002/cncr.22386

    CAS  Article  PubMed  Google Scholar 

  27. Vucicevic Boras V, Cikes N, Lukac J, Virag M, Cekic-Arambasin A: Salivary and serum interleukin 6 and basic fibroblast growth factor levels in patients with oral squamous cell carcinoma. Minerva Stomatol 2005, 54(10):569–73.

    CAS  PubMed  Google Scholar 

  28. Mizukawa N, Sugiyama K, Fukunaga J, Ueno T, Mishima K, Takagi S, Sugahara T: Defensin-1, a peptide detected in the saliva of oral squamous cell carcinoma patients. Anticancer Res 1998, 18(6B):4645–9.

    CAS  PubMed  Google Scholar 

  29. Hu S, Arellano M, Boontheung P, Wang J, Zhou H, Jiang J, Elashoff D, Wei R, Loo JA, Wong DT: Salivary proteomics for oral cancer biomarker discovery. Clin Cancer Res 2008, 14(19):6246–52. 10.1158/1078-0432.CCR-07-5037

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  30. Almadori G, Bussu F, Galli J, Limongelli A, Persichilli S, Zappacosta B, Minucci A, Paludetti G, Giardina B: Salivary glutathione and uric acid levels in patients with head and neck squamous cell carcinoma. Head Neck 2007, 29(7):648–54. 10.1002/hed.20579

    Article  PubMed  Google Scholar 

  31. Park NJ, Zhou H, Elashoff D, Henson BS, Kastratovic DA, Abemayor E, Wong DT: Salivary microRNA: discovery, characterization, and clinical utility for oral cancer detection. Clin Cancer Res 2009, 15(17):5473–7. 10.1158/1078-0432.CCR-09-0736

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  32. Vajaria BN, Patel KR, Begum R, Shah FD, Patel JB, Shukla SN, Patel PS: Evaluation of serum and salivary total sialic acid and alpha-l-fucosidase in patients with oral precancerous conditions and oral cancer. Oral Surg Oral Med Oral Pathol Oral Radiol 2013, 115(6):764–71. 10.1016/j.oooo.2013.01.004

    Article  PubMed  Google Scholar 

  33. Liu C, Lin S, Yang C, Cheng H, Chang K: Exploiting salivary miR-31 as a clinical biomarker of oral squamous cell carcinoma. Head Neck 2012, 34: 219–224. 10.1002/hed.21713

    Article  PubMed  Google Scholar 

  34. Katakura A, Kamiyama I, Takano N, Shibahara T, Muramatsu T, Ishihara K, Takagi R, Shouno T: Comparison of salivary cytokine levels in oral cancer patients and healthy subjects. Bull Tokyo Dent Coll 2007, 48(4):199–203. 10.2209/tdcpublication.48.199

    CAS  Article  PubMed  Google Scholar 

  35. SahebJamee M, Eslami M, AtarbashiMoghadam F, Sarafnejad A: Salivary concentration of TNFalpha, IL1 alpha, IL6, and IL8 in oral squamous cell carcinoma. Med Oral Patol Oral Cir Bucal 2008, 13(5):E292–5.

    PubMed  Google Scholar 

  36. Sato J, Goto J, Murata T, Kitamori S, Yamazaki Y, Satob A, Kitagawa Y: Changes in saliva interleukin-6 levels in patients with oral squamous cell carcinoma. Oral Surg Oral Med Oral Pathol Oral Radiol 2010, 110(3):330–336. 10.1016/j.tripleo.2010.03.040

    Article  Google Scholar 

  37. Jiang WW, Masayesva B, Zahurak M, Carvalho AL, Rosenbaum E, Mambo E, Zhou S, Minhas K, Benoit N, Westra WH, Alberg A, Sidransky D, Koch W, Califano J: Increased mitochondrial DNA content in saliva associated with head and neck cancer. Clin Cancer Res 2005, 11(7):2486–91. 10.1158/1078-0432.CCR-04-2147

    CAS  Article  PubMed  Google Scholar 

  38. Cheng Y, Jordan L, Gorugantula L, Schneiderman E, Chen H, Rees T: Salivary interleukins 6 and 8 in oral cancer patients and in patients with chronic oral inflammatory diseases. J of Periodontology in press in press

  39. Gorugantula L, Rees T, Plemons J, Chen H, Cheng Y: Salivary basic fibroblast growth factor in patients with oral squamous cell carcinoma or oral lichen planus. Oral Surg Oral Med Oral Pathol Oral Radiol 2012, 114(2):215–22. 10.1016/j.oooo.2012.03.013

    PubMed Central  Article  PubMed  Google Scholar 

  40. Cheng YS, Rees T, Jordan L, Oxford L, O'Brien J, Chen HS, Wong D: Salivary endothelin-1 potential for detecting oral cancer in patients with oral lichen planus or oral cancer in remission. Oral Oncol 2011, 47(12):1122–6. 10.1016/j.oraloncology.2011.07.032

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  41. Cheng YS, Jordan L, Rees T, Chen HS, Oxford L, Brinkmann O, Wong D: Levels of potential oral cancer salivary mRNA biomarkers in oral cancer patients in remission and oral lichen planus patients. Clin Oral Investig 2013. Jul 28 [Epub ahead of print] PMID: 23892499 Jul 28 [Epub ahead of print] PMID: 23892499

    Google Scholar 

  42. Carvalho AL, Jeronimo C, Kim MM, Henrique R, Zhang Z, Hoque MO, Chang S, Brait M, Nayak CS, Jiang WW, Claybourne Q, Tokumaru Y, Lee J, Goldenberg D, Garrett-Mayer E, Goodman S, Moon CS, Koch W, Westra WH, Sidransky D, Califano JA: Evaluation of promoter hypermethylation detection in body fluids as a screening/diagnosis tool for head and neck squamous cell carcinoma. Clin Cancer Res 2008, 14(1):97–107. 10.1158/1078-0432.CCR-07-0722

    CAS  Article  PubMed  Google Scholar 

  43. Brinkmann O, Kastratovic DA, Dimitrijevic MV, Konstantinovic VS, Jelovac DB, Antic J, Nesic VS, Markovic SZ, Martinovic ZR, Akin D, Spielmann N, Zhou H, Wong DT: Oral squamous cell carcinoma detection by salivary biomarkers in a Serbian population. Oral Oncol 2011, 47(1):51–5. 10.1016/j.oraloncology.2010.10.009

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  44. Elashoff D, Zhou H, Reiss J, Wang J, Xiao H, Henson B, Hu S, Arellano M, Sinha U, Le A, Messadi D, Wang M, Nabili V, Lingen M, Morris D, Randolph T, Feng Z, Akin D, Kastratovic DA, Chia D, Abemayor E, Wong DT: Prevalidation of salivary biomarkers for oral cancer detection. Cancer Epidemiol Biomarkers Prev 2012, 21(4):664–72. 10.1158/1055-9965.EPI-11-1093

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  45. Jou YJ, Lin CD, Lai CH, Chen CH, Kao JY, Chen SY, Tsai MH, Huang SH, Lin CW: Proteomic identification of salivary transferrin as a biomarker for early detection of oral cancer. Anal Chim Acta 2010, 681(1–2):41–8.

    CAS  Article  PubMed  Google Scholar 

  46. Franzmann EJ, Reategui EP, Pedroso F, Pernas FG, Karakullukcu BM, Carraway KL, Hamilton K, Singal R, Goodwin WJ: Soluble CD44 is a potential marker for the early detection of head and neck cancer. Cancer Epidemiol Biomarkers Prev 2007, 16(7):1348–55. 10.1158/1055-9965.EPI-06-0011

    CAS  Article  PubMed  Google Scholar 

  47. Sugimoto M, Wong DT, Hirayama A, Soga T, Tomita M: Capillary electrophoresis mass spectrometry-based saliva metabolomics identified oral, breast and pancreatic cancer-specific profiles. Metabolomics 2010, 6(1):78–95. 10.1007/s11306-009-0178-y

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  48. Wei J, Xie G, Zhou Z, Shi P, Qiu Y, Zheng X, Chen T, Su M, Zhao A, Jia W: Salivary metabolite signatures of oral cancer and leukoplakia. Int J Cancer 2011, 129(9):2207–17. 10.1002/ijc.25881

    CAS  Article  PubMed  Google Scholar 

  49. Shpitzer T, Hamzany Y, Bahar G, Feinmesser R, Savulescu D, Borovoi I, Gavish M, Nagler RM: Salivary analysis of oral cancer biomarkers. Br J Cancer 2009, 101(7):1194–8. 10.1038/sj.bjc.6605290

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  50. Zhong L, Chen G, Xu Z, Zhang X, Ping F, Zhao S: Detection of telomerase activity in saliva from oral squamous cell carcinoma patients. Int J Oral and Maxillofac Surg 2005, 34: 366–370.

    Article  Google Scholar 

  51. El-Naggar AK, Mao L, Staerkel G, Coombes MM, Tucker SL, Luna MA, Clayman GL, Lippman S, Goepfert H: Genetic heterogeneity in saliva from patients with oral squamous carcinomas: implications in molecular diagnosis and screening. J Mol Diagn 2001, 3(4):164–70. 10.1016/S1525-1578(10)60668-X

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  52. Agha-Hosseini F, Mirzaii-Dizgah I, Farmanbar N, Abdollahi M: Oxidative stress status and DNA damage in saliva of human subjects with oral lichen planus and oral squamous cell carcinoma. J Oral Pathol Med 2012, 41(10):736–40. 10.1111/j.1600-0714.2012.01172.x

    CAS  Article  PubMed  Google Scholar 

  53. Bernabe DG, Tamae AC, Miyahara GI, Sundefeld ML, Oliveira SP, Biasoli ER: Increased plasma and salivary cortisol levels in patients with oral cancer and their association with clinical stage. J Clin Pathol 2012, 65(10):934–9. 10.1136/jclinpath-2012-200695

    CAS  Article  PubMed  Google Scholar 

  54. He H, Chen G, Zhou L, Liu Y: A joint detection of CEA and CA-50 levels in saliva and serum of patients with tumors in oral region and salivary gland. J Cancer Res Clin Oncol 2009, 135(10):1315–21. 10.1007/s00432-009-0572-x

    CAS  Article  PubMed  Google Scholar 

  55. Shpitzer T, Bahar G, Feinmesser R, Nagler RM: A comprehensive salivary analysis for oral cancer diagnosis. J Cancer Res Clin Oncol 2007, 133(9):613–7. 10.1007/s00432-007-0207-z

    CAS  Article  PubMed  Google Scholar 

  56. Tang H, Wu Z, Zhang J, Su B: Salivary lncRNA as a potential marker for oral squamous cell carcinoma diagnosis. Mol Med Rep 2013, 7(3):761–6.

    CAS  PubMed  Google Scholar 

  57. Balan JJ, Rao RS, Premalatha BR, Patil S: Analysis of tumor marker CA 125 in saliva of normal and oral squamous cell carcinoma patients: a comparative study. J Contemp Dent Pract 2012, 13(5):671–5.

    Article  PubMed  Google Scholar 

  58. Shetty SR, Chadha R, Babu S, Kumari S, Bhat S, Achalli S: Salivary lactate dehydrogenase levels in oral leukoplakia and oral squamous cell carcinoma: a biochemical and clinicopathological study. J Cancer Res Ther 2012, 8(Suppl 1):S123–5.

    CAS  PubMed  Google Scholar 

  59. Jessie K, Jayapalan JJ, Ong KC, Abdul Rahim ZH, Zain RM, Wong KT, Hashim OH: Aberrant proteins in the saliva of patients with oral squamous cell carcinoma. Electrophoresis 2013, 34(17):2495–502. 10.1002/elps.201300107

    CAS  Article  PubMed  Google Scholar 

  60. Jou YJ, Lin CD, Lai CH, Tang CH, Huang SH, Tsai MH, Chen SY, Kao JY, Lin CW: Salivary zinc finger protein 510 peptide as a novel biomarker for detection of oral squamous cell carcinoma in early stages. Clin Chim Acta 2011, 412(15–16):1357–65.

    CAS  Article  PubMed  Google Scholar 

  61. Carvalho AL, Henrique R, Jeronimo C, Nayak CS, Reddy AN, Hoque MO, Chang S, Brait M, Jiang WW, Kim MM, Claybourne Q, Goldenberg D, Khan Z, Khan T, Westra WH, Sidransky D, Koch W, Califano JA: Detection of promoter hypermethylation in salivary rinses as a biomarker for head and neck squamous cell carcinoma surveillance. Clin Cancer Res 2011, 17(14):4782–9. 10.1158/1078-0432.CCR-11-0324

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  62. Contucci AM, Inzitari R, Agostino S, Vitali A, Fiorita A, Cabras T, Scarano E, Messana I: Statherin levels in saliva of patients with precancerous and cancerous lesions of the oral cavity: a preliminary report. Oral Dis 2005, 11(2):95–9. 10.1111/j.1601-0825.2004.01057.x

    CAS  Article  PubMed  Google Scholar 

  63. Hoffmann RR, Yurgel LS, Campos MM: Evaluation of salivary endothelin-1 levels in oral squamous cell carcinoma and oral leukoplakia. Regul Pept 2011, 166(1–3):55–8.

    CAS  Article  PubMed  Google Scholar 

  64. Magnusson M, Pyykko I, van Setten G, Norlander T, Nastri A, Westermark A: Basic fibroblast growth factor (bFGF) in saliva and oral mucosa in patients with oral lichen planus: preliminary observations. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2004, 98(3):324–6. 10.1016/j.tripleo.2004.02.056

    Article  PubMed  Google Scholar 

  65. Scully C, Beyli M, Ferreiro MC, Ficarra G, Gill Y, Griffiths M, Holmstrup P, Mutlu S, Porter S, Wray D: Update on oral lichen planus: etiopathogenesis and management. Crit Rev Oral Biol Med 1998, 9(1):86–122. 10.1177/10454411980090010501

    CAS  Article  PubMed  Google Scholar 

  66. Neville BW, Day TA: Oral cancer and precancerous lesions. CA Cancer J Clin 2002, 52(4):195–215. 10.3322/canjclin.52.4.195

    Article  PubMed  Google Scholar 

  67. Rhodus NL, Cheng B, Myers S, Bowles W, Ho V, Ondrey F: A comparison of the pro-inflammatory, NF-kappaB-dependent cytokines: TNF-alpha, IL-1-alpha, IL-6, and IL-8 in different oral fluids from oral lichen planus patients. Clin Immunol 2005, 114(3):278–83. 10.1016/j.clim.2004.12.003

    CAS  Article  PubMed  Google Scholar 

  68. Teles RP, Likhari V, Socransky SS, Haffajee AD: Salivary cytokine levels in subjects with chronic periodontitis and in periodontally healthy individuals: a cross-sectional study. J Periodontal Res 2009, 44(3):411–7. 10.1111/j.1600-0765.2008.01119.x

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  69. Zhang Y, Lin M, Zhang S, Wang Z, Jiang L, Shen J, Bai J, Gao F, Zhou M, Chen Q: NF-kappaB-dependent cytokines in saliva and serum from patients with oral lichen planus: a study in an ethnic Chinese population. Cytokine 2008, 41(2):144–9. 10.1016/j.cyto.2007.11.004

    CAS  Article  PubMed  Google Scholar 

  70. Arellano-Garcia ME, Hu S, Wang J, Henson B, Zhou H, Chia D, Wong DT: Multiplexed immunobead-based assay for detection of oral cancer protein biomarkers in saliva. Oral Dis 2008, 14(8):705–12. 10.1111/j.1601-0825.2008.01488.x

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  71. Sharma M, Bairy I, Pai K, Satyamoorthy K, Prasad S, Berkovitz B, Radhakrishnan R: Salivary IL-6 levels in oral leukoplakia with dysplasia and its clinical relevance to tobacco habits and periodontitis. Clin Oral Investig 2011, 15(5):705–14. 10.1007/s00784-010-0435-5

    Article  PubMed  Google Scholar 

  72. Ebersole JL, Schuster JL, Stevens J, Dawson D 3rd, Kryscio RJ, Lin Y, Thomas MV, Miller CS: Patterns of salivary analytes provide diagnostic capacity for distinguishing chronic adult periodontitis from health. J Clin Immunol 2013, 33(1):271–9. 10.1007/s10875-012-9771-3

    PubMed Central  Article  PubMed  Google Scholar 

  73. Thomas MV, Branscum A, Miller CS, Ebersole J, Al-Sabbagh M, Schuster JL: Within-subject variability in repeated measures of salivary analytes in healthy adults. J Periodontol 2009, 80(7):1146–53. 10.1902/jop.2009.080654

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  74. Kim JK, Zhou H, Nabili V, Wang MB, Abemayor E, Wong DT: Utility of multiple sampling in reducing variation of salivary interleukin-8 and interleukin-1beta mRNA levels in healthy adults. Head Neck 2012, 35(7):968–73.

    Article  PubMed  Google Scholar 

  75. Jehmlich N, Dinh KH, Gesell-Salazar M, Hammer E, Steil L, Dhople VM, Schurmann C, Holtfreter B, Kocher T, Volker U: Quantitative analysis of the intra- and inter-subject variability of the whole salivary proteome. J Periodontal Res 2012, 48(3):392–403.

    Article  PubMed  Google Scholar 

  76. Fraser CG: Inherent biological variation and reference values. Clin Chem Lab Med 2004, 42(7):758–64.

    CAS  Article  PubMed  Google Scholar 

  77. Denver R, Tzanidis A, Martin P, Krum H: Salivary endothelin concentrations in the assessment of chronic heart failure. Lancet 2000, 355(9202):468–9. 10.1016/S0140-6736(00)82019-X

    CAS  Article  PubMed  Google Scholar 

  78. Lam HC, Lo GH, Lee JK, Lu CC, Chu CH, Sun CC, Chuang MJ, Wang MC: Salivary immunoreactive endothelin in patients with upper gastrointestinal diseases. J Cardiovasc Pharmacol 2004, 44(Suppl 1):S413–7.

    CAS  Article  PubMed  Google Scholar 

  79. Dodds MW, Johnson DA, Yeh CK: Health benefits of saliva: a review. J Dent 2005, 33(3):223–33. 10.1016/j.jdent.2004.10.009

    Article  PubMed  Google Scholar 

  80. Denny PC, Denny PA, Klauser DK, Hong SH, Navazesh M, Tabak LA: Age-related changes in mucins from human whole saliva. J Dent Res 1991, 70(10):1320–7. 10.1177/00220345910700100201

    CAS  Article  PubMed  Google Scholar 

  81. Mankan AK, Lawless MW, Gray SG, Kelleher D, McManus R: NF-kappaB regulation: the nuclear response. J Cell Mol Med 2009, 13(4):631–43. 10.1111/j.1582-4934.2009.00632.x

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  82. Hom D: Growth factors in wound healing. Otolaryngol Clin North Am 1995, 28(5):933–53.

    CAS  PubMed  Google Scholar 

  83. Canakci C, Cicek Y, Yildirim A, Sezer U, Canakci V: Increased levels of 8-hydroxydeoxyguanosine and malondialdehyde and its relationship with antioxidant enzymes in saliva of periodontitis patients. European Journal of Dentistry 2009, 3: 100–106.

    PubMed Central  PubMed  Google Scholar 

  84. Gursoy UK, Kononen E, Uitto VJ, Pussinen PJ, Hyvarinen K, Suominen-Taipale L, Knuuttila M: Salivary interleukin-1beta concentration and the presence of multiple pathogens in periodontitis. J Clin Periodontol 2009, 36(11):922–7. 10.1111/j.1600-051X.2009.01480.x

    CAS  Article  PubMed  Google Scholar 

  85. Zhang L, Xiao H, Karlan S, Zhou H, Gross J, Elashoff D, Akin D, Yan X, Chia D, Karlan B, Wong DT: Discovery and preclinical validation of salivary transcriptomic and proteomic biomarkers for the non-invasive detection of breast cancer. PLoS One 2010, 5(12):e15573. 10.1371/journal.pone.0015573

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  86. Xiao H, Zhang L, Zhou H, Lee JM, Garon EB, Wong DT: Proteomic analysis of human saliva from lung cancer patients using two-dimensional difference gel electrophoresis and mass spectrometry. Mol Cell Proteomics 2012, 11(2):M111 012112. 10.1074/mcp.M111.012112

    PubMed Central  Article  PubMed  Google Scholar 

  87. Bigler LR, Streckfus CF, Dubinsky WP: Salivary biomarkers for the detection of malignant tumors that are remote from the oral cavity. Clin Lab Med 2009, 29(1):71–85. 10.1016/j.cll.2009.01.004

    Article  PubMed  Google Scholar 

  88. Streckfus C, Bigler L, Tucci M, Thigpen JT: A preliminary study of CA15–3, c-erbB-2, epidermal growth factor receptor, cathepsin-D, and p53 in saliva among women with breast carcinoma. Cancer Invest 2000, 18(2):101–9. 10.3109/07357900009038240

    CAS  Article  PubMed  Google Scholar 

  89. Streckfus C, Bigler L, Dellinger T, Dai X, Kingman A, Thigpen JT: The presence of soluble c-erbB-2 in saliva and serum among women with breast carcinoma: a preliminary study. Clin Cancer Res 2000, 6(6):2363–70.

    CAS  PubMed  Google Scholar 

  90. Zhang L, Xiao H, Zhou H, Santiago S, Lee JM, Garon EB, Yang J, Brinkmann O, Yan X, Akin D, Chia D, Elashoff D, Park NH, Wong DT: Development of transcriptomic biomarker signature in human saliva to detect lung cancer. Cell Mol Life Sci 2012, 69(19):3341–50. 10.1007/s00018-012-1027-0

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  91. Agha-Hosseini F, Mirzaii-Dizgah I, Rahimi A, Seilanian-Toosi M: Correlation of serum and salivary CA125 levels in patients with breast cancer. J Contemp Dent Pract 2009, 10(6):E001–8.

    PubMed  Google Scholar 

  92. Agha-Hosseini F, Mirzaii-Dizgah I, Rahimi A: Correlation of serum and salivary CA15–3 levels in patients with breast cancer. Med Oral Patol Oral Cir Bucal 2009, 14(10):e521–4.

    Article  PubMed  Google Scholar 

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Acknowledgements

Our research work regarding salivary biomarkers has been supported by the National Institute of Dental and Craniofacial Research (1R21DE018757: 5TL1RR024984; 5UL1RR024982), Texas A&M Health Science Center (TAMHSC), and Department of Diagnostic Sciences, Texas A&M University-Baylor College of Dentistry. We want to acknowledge Ms. Lee Jordan and Drs. Huey-Shys Chen, Emet Schneiderman, Jaqueline Plemons, Lance Oxford, David Kang, and John O’Brien, for their contributions to our previous and ongoing research regarding OSCC salivary biomarkers. We also want to thank Drs. David Carlson, Larry Wolinsky and Larry Bellinger for their strong support to our research work at Baylor College of Dentistry. Finally, Yi-Shing Lisa Cheng wishes to thank Dr. David Wong, Associate Dean of Research at UCLA, for his encouragement, invaluable advice and support over the years. His speech at the annual meeting of the American Academy of Oral and Maxillofacial Pathology in 2005 inspired our work in this field.

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Authors and Affiliations

  1. Department of Diagnostic Sciences, Texas A&M University-Baylor College of Dentistry, 3302 Gaston Ave., Dallas, TX, 75246, USA

    Yi-Shing Lisa Cheng & John Wright

  2. Department of Periodontics, Texas A&M University-Baylor College of Dentistry, 3302 Gaston Ave., Dallas, TX, 75246, USA

    Terry Rees

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  1. Yi-Shing Lisa Cheng
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Correspondence to Yi-Shing Lisa Cheng.

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The authors declare that they have no commercial or other competing interests to disclose.

Authors’ contributions

The author YSLC reviewed and analyzed the published research studies, conceptualized and drafted the manuscript. TR and JW contributed important intellectual content for the manuscript. All three authors have been involved in revising the manuscript. All authors read and approved the final manuscript.

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Cheng, YS.L., Rees, T. & Wright, J. A review of research on salivary biomarkers for oral cancer detection. Clin Trans Med 3, 3 (2014). https://doi.org/10.1186/2001-1326-3-3

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Keywords

  • Saliva
  • Biomarker
  • Oral Cancer
  • Oral squamous cell carcinoma