Abstract
Background/purpose
Oral potentially malignant disorder (OPMD) is an important premalignancy worldwide. MicroRNAs (miRNAs) are endogenously expressed non-coding RNAs that regulate the post-transcriptional levels of targeted mRNAs. MiRNA-375 (miR-375) is markedly downregulated in oral carcinoma tissues and plays an oncogenic role in oral carcinogenesis. We explored the potential of the deregulated salivary miR-375 levels in OPMD patients.
Materials and methods
. We analyzed the levels of miR-375 in the saliva of patients with OPMD (n = 45) and healthy controls (n = 24) by quantitative RT-PCR. The cell lysates and supernatants were treated with the miR-375 mimic and inhibitor.
Results
Salivary miR-375 levels were decreased markedly in the patients with OPMD, compared with the controls. OPMD patients with non-dysplasia showed a higher abundance of miR-375 in the saliva than dysplasia patients, suggesting that salivary miR-375 is a more sensitive marker for OPMD. Patients with malignant transformation during the follow-up period showed lower expression of saliva miR-375 than the others. MiR-375 expression was markedly decreased by treatment with the miR-375 inhibitor, and the supernatants of both NHOK and SAS cells showed a corresponding decline in miR-375 expression.
Conclusion
Our results indicate the potential application of salivary miR-375 as a biomarker for the detection and long-term follow-up of OPMD.
Keywords: Biomarker, miR-375, OPMD, Oral epithelial dysplasia, Saliva
Introduction
Oral potentially malignant disorders (OPMDs) are lesions that correlate with the risk of oral squamous cell carcinoma (OSCC). The overall OPMD transformation rate was estimated at 6.73% in previous studies in Taiwan.1, 2, 3, 4 A British report indicated that the average overall OPMD transformation rate was 2.6% in 12 years.5 Interventions for OPMDs are important to prevent OSCC. However, among the diverse and large number of OPMDs, identifying the lesions with the greatest potential for malignant transformation is not easy, but remains very important. Epigenetic changes, especially, noncoding RNA alterations, have drawn more attention in recent cancer research. Compared to the alterations in other noncoding RNAs, microRNA (miRNA) alterations are more intensively characterized in OSCC and head and neck squamous cell carcinoma (HNSCC). However, in the progression of OPMDs, limited miRNA alterations have been reported in malignant transformations. miR-21 and miR-31 were found to be important oncomirs in oral carcinogenesis.6,7 Upregulation of miR-31 was observed in OPMD tissues and correlated with malignant transformation.8 Increased salivary miR-184 and decreased miR-145 levels were also noted in OPMD patients and found to have a notable diagnostic power.9 Cervigne et al. stated that the tissue expression of miR-21, miR-181b, and miR-345 is an early event in leukoplakia transforming into malignancy.10 The altered expression of miRNAs could be a feasible biomarker for determining the potential of malignancy. However, not all progressive premalignant oral lesions were associated with the overexpression of these miRNAs.10 Critical miRNA alterations occurring in OPMD require vigorous exploration to address the underlying pathogenetic process.
MiR-375 is a well-established tumor suppressor microRNA known to be downregulated in many cancer types, and its downregulation has been suggested to be correlated with tumor size and invasion in OSCC.11,12 A low expression level of miR-375 in tongue and laryngeal cancer patients was related to poor of prognosis.13,14 Underexpression of miR-375 could lead to uncontrolled CIP2A expression and extended stability of MYC, which contributes to the promotion of oral cancerous phenotypes.15 As an OSCC suppressor, whether the downregulation of miR-375 occurs in OPMD remains uncertain.
Since the collection and processing of saliva is simple, relatively non-invasive, and cost-effective, it has been used extensively to extract meaningful biological data in different localized and oral diseases.16 Salivary miRNA biomarkers have recently emerged as a valuable diagnostic method for the detection of oral lesions.9 The expression of miR-31 significantly increased in the saliva of OPMD patients; miR-31 and epithelial dysplasia are significantly associated with disease progression.8
In this study, we further explored the potential of the deregulated levels of miR-375 demonstrated in saliva to serve as biomarkers for the early detection of, and prognostic indicators in OPMD patients.
Materials and methods
Cell culture and reagents
The OSCC cell lines SCC25, SAS, and OECM-1, and normal human oral keratinocytes (NHOKs) were cultured as described previously.17 The levels of miR-375 in the cultured cells and supernatants were analyzed. NHOKs and SAS were prepared for the further expression study. The miR-375 mimic (C-300682-05), miR-375 inhibitor (IH-300682-07), and negative control (CN-001000-01) were purchased from Dharmacon (Horizon Discovery, Lafayette, CO, USA). A total of 2 × 105 NHOK and SAS cells were seeded in a 6-well plate and transfected with 100 nmol/L miR-375 mimic/inhibitor/negative control using Lipofectamine 2000 (Invitrogen; Thermo Fisher Scientific, Inc., Waltham, MA, USA) for 24 h. The levels of miR-375 in the cultured cells and supernatants were analyzed.
Saliva samples
These samples were collected after obtaining written informed consent from all the participants, and this study was approved by the Institutional Review Board (IRB) of the Mackay Memorial Hospital (IRB approval numbers 09MMHIS146 and 10MMHIS185). Saliva was collected before surgery from 41 patients with OPMD and 26 matched controls that provided written informed consent. Saliva specimens from 26 healthy individuals matched by age, sex, and oral habits served as the controls. All patients with OPMD underwent total excision and were confirmed by the same pathologist. They were then followed up for at least 5.5 years. No OPMD was diagnosed in the matched controls during the follow-up period. Clinicopathological parameters of the study subjects are listed in Table 1. Nearly all patients were male, and the vast majority was smokers and/or betel chewers. Eighteen patients were diagnosed as oral epithelial dysplasia, Patients with specific types of OPMD, including oral submucosal fibrosis and erosive lichen planus, were excluded from this study. During the following period there were 5 patients became as OSCC (Table 1).
Table 1.
Clinicopathological characteristics of oral potentially malignant disorder (OPMD) patients.
| Characteristics | Case | Control | |
|---|---|---|---|
| Age | (years old, Mean ± SD) | 47.89 ± 13.39 | 49.19 ± 10.5 |
| Gender | Male | 40 | 25 |
| Female | 1 | 1 | |
| Follow-up period | (years, Mean ± SD) | 6.81 ± 1.4 | 7.02 ± 2.1 |
| Oral habits | Alcohol | 10 | 5 |
| Betel quid | 40 | 22 | |
| Cigarette | 38 | 20 | |
| Pathological diagnosis | Epithelial Hyperplasia | 11 | |
| Mild oral epithelialdysplasia | 3 | ||
| Moderate oral epithelial dysplasia | 11 | ||
| Severe oral epithelialdysplasia | 4 | ||
| Malignant transformation | aOthers | 12 | |
| Yes | 5 | ||
| Non | 36 | ||
Others: acanthosis, hyperkeratosis, hyperparakeratosis.
Two milliliters of saliva were collected from the mouth floor after simple mouth rinsing.18,19 After centrifugation, 400 μL of saliva was aliquoted and preserved at −80 °C before use, as described previously.19,20
miRNA extraction and quantitative-RT-PCR analysis
The supernatant of the cultured cells was collected and centrifuged at 1000 rpm for 5 min to remove potentially contaminating debris and floating cells. The supernatant (400 μL) was aliquoted and preserved at −80 °C. To analyze the cellular miRNAs, the attached cells were harvested by trypsinization and suspended in 400 μL of PBS.21 miRNAs were then purified from 400 μL of the cell lysates, supernatants, and saliva using the mirVana™ PARIS™ isolation kit (mirVana™, Cat No AM1556, Ambion, Austin, TX, USA). The miR-375 levels in 5 μL of eluate (out of 100 μL) were measured using the TaqMan miRNA assay system (Applied Biosystems, Foster City, CA, USA). Briefly, a looped RT primer specifically paired with miR-375 formed a primer/miR-375-chimera, and the extended oligonucleotide served as a template for subsequent quantitative assays.22,23 Quantitative RT-PCR (qRT-PCR) was performed in triplicate or duplicate using the ABI Prism 7700 Sequence Detector System (Applied Biosystems, Foster City, CA, USA). The expression of U6B served as an internal control.21,24 A negative control without a template was amplified in parallel to determine the specificity of the reactions. Ct is the cycle threshold of the signal amplification, and ΔCt represents the difference in Ct values between the miR-375 and U6B levels. Extreme samples, i.e., those with Ct values for U6B beyond 40, were excluded from the analysis.21
Statistical analysis
Data are shown as the means or means ± S.E. of triplicate analyses. The sample size of this study was estimated by accessing the PS: Power/Sample Size Calculator version 3.1 (https://biostat.app.vumc.org/wiki/Main/PowerSampleSize). SPSS software (version 20.0; IBM, Armonk, New York, USA) was used to perform the statistical analyses. The Mann–Whitney U test was used to compare the differences between the various clinical variants. Statistical significance was set at P < 0.05. To determine the extent to which the obtained –ΔCt could efficiently separate different clinical subsets, receiver operating characteristic (ROC) analysis was performed, and the area under the curve (AUC) was used as a measurement of the separating ability.
Results
Correlation of mir-375 levels between cell lysates and supernatants
To explore whether the concentration of extracellular miR-375 reflected the corresponding changes in NHOK, SCC25, SAS and OECM-1 cells. The results of the in vitro study revealed that the expression level of miR-375 was reduced in OSCC cell lines (SCC25, SAS, and OECM-1), compared with that in the NHOK cells (Fig. 1). qRT-PCR was used to evaluate the expression levels of miR-375 in the cell lysates and supernatants. Transfection with the miR-375 mimic increased miR-375 levels in NHOK and SAS cells (Fig. 2A and C). Likewise, miR-375 mimic-treated cells also had higher supernatant miR-375 levels than the cells treated with the negative control (Fig. 2B and D). When the cellular miR-375 level was significantly decreased by treatment with miR-375 inhibitor (Fig. 2A and C), the miR-375 levels in the supernatants from both the NHOK and SAS cells showed a corresponding decline (Fig. 2B and D).
Figure 1.
miR-375 is underexpressed in OSCC cells. Q-RT-PCR analysis showed the expression level of miR-375 in OSCC cell lines and NHOK cells.
Figure 2.
The cellular expression levels of miR-375 in the supernatant were consistent with the miR-375 levels in the supernatant. NHOK and SAS cells were transfected with the miR-375 mimic/inhibitor/negative control. Q-RT-PCR analysis was performed to detect the expression levels of miR-375 in NHOK (A) and SAS cells (B) and the miR-375 levels in the supernatants of NHOK (C) and SAS cells (D).
Decreased mir-375 levels in the saliva of OPMD patients
To investigate whether miR-375 downregulation occurred not only in cytobrushed tumor tissues (as shown in our previous study),25 but also in the secretome of saliva from patients with OPMD, we analyzed the expression level of miR-375 in the saliva of patients with OPMD and healthy individuals. Regardless of pathological condition, the expression of miR-375 in the saliva of patients with OPMD was significantly lower than that in healthy individuals, as revealed by a mean –ΔCt value of 8.97 in OPMD patients, compared with a value of 10.17 in the controls (Fig. 3A, Table 2). Differences in the miR-375 levels were found between clinical subsets of patients, such as those with or without dysplasia; this difference was statistically significant (Fig. 3B). In the ROC analyses, when a value of –ΔCt of −10.3 was used as a cutoff to differentiate the healthy state from the OPMD state, a discrimination power of 0.82 was achieved, with a sensitivity of 0.80 and a specificity of 0.68 (Fig. 3D). In the ROC analyses, when a –ΔCt value of −8.9 was used as a cutoff to differentiate the non-dysplasia state from the dysplasia state, a discrimination power of 0.77 was attained, with a sensitivity of 0.71 and specificity of 0.83 (Fig. 3E) (see Table 3).
Figure 3.
Salivary miR-375 expression in controls and patients with oral premalignant disorder (OPMD). Q-RT-PCR analysis was performed to detect the expression levels of miR-375 in saliva samples from control subjects and OPMD patients (A), subjects with non-dysplasia and dysplasia (B), and subjects with non-malignant change and malignant transformation (C). Receiver operating characteristic (ROC) analysis of saliva samples from control subjects and OPMD patients (D), subjects with non-dysplasia and dysplasia (E), and subjects with non-malignant change and malignant transformation (F).
Table 2.
-ΔCt values of miR-375 expression in the saliva of OPMD patients and controls.
| OPMD (n = 41) |
Control (n = 26) |
p valuea | |
|---|---|---|---|
| -ΔCt (Mean ± SE) | -ΔCt (Mean ± SE) | ||
| All | 8.97 ± 0.37 | 10.17 ± 0.33 | 0.020b |
| Dysplasia(n = 18) | 7.87 ± 0.5 | <0.001c |
Abbreviations: OPMD, oral potentially malignant disorder.
-ΔCt: difference in cycle threshold values between detected miRNAs and U6B.
Mann–Whitney analysis.
Comparison of salivary miR-375 levels across OPMD patients and controls.
Comparison of salivary miR-375 levels across dysplasia patients and controls.
Table 3.
-ΔCt values of miR-375 expression in the saliva of OPMD patients.
| -ΔCt (Mean ± SE) | p valuea | |
|---|---|---|
| Dysplasia (n = 18) | 7.87 ± 0.5 | 0.003b |
| Non-dysplasia (n = 23) | 9.83 ± 0.34 | |
| Malignant transformation(n = 5) | 7.54 ± 0.25 | 0.04c |
| Non- malignant transformation (n = 36) | 9.11 ± 0.37 |
Abbreviation: OPMD, oral potentially malignant disorder.
-ΔCt: difference in cycle threshold values between detected miRNAs and U6B.
Mann–Whitney analysis.
Comparison of salivary miR-375 in dysplasia patients and non-dysplasia patients.
Comparison of salivary miR-375 levels in OPMD patients with malignant transformation and Non-malignant transformation.
Decreased mir-375 levels in the saliva of patients with malignant transformation
We found that 12.2% (5/41) of the OPMD patients presented with OSCC during the follow-up period (Fig. 3C). The mean –ΔCt value of the miR-375 levels declined from a −8.3 to −10.2. The discrimination power for differentiating a patient's operative status using the ROC analysis was 0.71 when a –ΔCt of – 9.5 was used as the cutoff (Fig. 3F).
Discussion
It was found that hazard ratio of the malignant transformation rate was 8.19 times higher in the OPMD group than in the comparison cohort.3 Data suggested that anyone diagnosed with OPMDs should be closely followed up.3 The development of new, specific biomarkers is critical to improving the diagnosis and prognosis for patients with such OPMDs. Saliva is in constant contact with oral tissues and is easily obtained using non-invasive methods. These properties make saliva an advantageous source of specimens for the search for potential biomarkers although it may contain serum and desquamated epithelial cells from the oral mucosa, including some leucocytes, especially if there is ulceration or mucositis, the latter being inevitable if a neoplasm is present.26,27 Because of the stability of their structures, miRNAs may exist stably even in harsh biological environments, for example, within the saliva, plasma, or other body fluids.28,29 This characteristic makes salivary miRNAs an emerging field for monitoring not only oral diseases but also systemic diseases and general health.8,16,20,30,31 The lack of well-characterized or matched clinical groups and lack of suitable endogenous controls for extracellular miRNA detection in saliva and the need for normalization are among the major restrictions associated with utilizing salivary miRNAs for biomarker discovery. Therefore, we used gender, age, and oral habit-matched controls from various populations to identify appropriate salivary miRNA biomarkers, so that population-specific and habit-specific miRNA signatures in OPMD patients could be elucidated.
Studies on salivary miRNA expression in OPMD are sparse, given that miRNA expression studies associated with oral cancer began only in 2009.32 Several studies on salivary miRNAs were performed in OPMD, and several miRNAs were found to be deregulated in OPMD.8,16,32, 33, 34 MiR-21, miR-31, and miR-184 were overexpressed in OPMD,6,8,16,34 in contrast with miR-145, which was underexpressed in OPMD.34 There have been no definite studies to evaluate miR-375 expression in the saliva of OPMD patients. Previous studies have shown a marked decrease in miR-375 expression in tissues and plasma from patients with OSCC, compared with that in healthy individuals.12,13,15,35,36 In tissue samples, the expression level of miR-375 was significantly higher in nonprogressive premalignant lesions than in progressive premalignant lesions. Moreover, miR-375 expression was significantly lower after the progression to OSCC in all the samples.37 This is the first time that salivary miR-375 was found to be expressed in OPMD. Aberrant salivary miR-375 expression could be detected in OPMD patients and distinguish them from matched control volunteers and dysplasia patients from subjects without dysplasia, suggesting a potential clinical application for oral lesion-specific miRNA signatures in saliva. This is a convenient and less invasive method that highlights miR-375 as a biomarker for OPMD.
Since salivary fluid consists of cellular debris and degraded RNAs, the supernatant is probably a better sample for assaying cell-free nucleic acids. Moreover, exosome enrichment followed by miRNA isolation further reduced the variability in expression profiles among samples due to the removal of degraded RNAs. In a previous cytobrushing study, miR-375 was derived directly and mainly from tumor tissue. This was supported by direct evidence from our in vitro study, which showed that the expression of miR-375 in the supernatant decreased after the inhibition of intracellular miR-375 expression in cells. These results suggest the potential application of salivary miR-375 in monitoring or detecting residual or recurrent OSCC.
Downregulated miR-375 levels in saliva could be detected even from different types of oral lesions, including dysplasia, and the sensitivity of detection of such lesions was not different from the detection of the severity of the dysplasia. This suggests that because of its abundance, salivary miR-375 could potentially be exploited to detect and diagnose insidious oral precancerous lesions in at-risk populations.19
A recent study showed a notable decrease in the levels of miR-200a and miR-125a in the saliva of patients with tongue cancers.32 Although the origin and clinical significance of these two salivary miRNAs showing decreased expression in OSCC remain to be determined, measuring the levels of salivary miRNAs in patients with OSCC by qRT-PCR appears to be a promising approach to identify new biomarkers in saliva.20 The discovery and combination of multiple salivary miRNAs may provide a better power of discrimination for the diagnosis of OPMD and follow-up of OPMD patients. Considering that the origins of salivary and plasma miRNAs may be similar, decreases in plasma and salivary miR-375 levels may have clinical or pathological implications. However, the high correlation between them suggests that the combined use of both salivary and plasma markers may also enable a more powerful prediction of OPMD.16
Declaration of competing interest
The authors have no conflicts of interest relevant to this article.
Acknowledgments
This study was supported by grants MMH-E-108-12 from MacKay Memorial Hospital, Taiwan. MOST 108-2314-B-010-014, MOST 108-2314-B-195-002-MY2, and 110-2314-B-195-015-MY3 from the Ministry of Science and Technology, Taiwan, and MOHW110-TDU-B-211-144019 from the Ministry of Health and Welfare, Taiwan. . We wish to thank Dr. Liu, Ko-Jiun and Dr. Shiah, Shine-Gwo for their comments in this study.
References
- 1.Wang Y.Y., Tail Y.H., Wang W.C., et al. Malignant transformation in 5071 southern Taiwanese patients with potentially malignant oral mucosal disorders. BMC Oral Health. 2014;14:e99. doi: 10.1186/1472-6831-14-99. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Hsue S.S., Wang W.C., Chen C.H., et al. Malignant transformation in 1458 patients with potentially malignant oral mucosal disorders: a follow-up study based in a Taiwanese hospital. J Oral Pathol Med. 2007;36:25–29. doi: 10.1111/j.1600-0714.2006.00491.x. [DOI] [PubMed] [Google Scholar]
- 3.Chiu S.F., Ho C.H., Chen Y.C., et al. Malignant transformation of oral potentially malignant disorders in Taiwan: an observational nationwide population database study. Medicine (Baltim) 2021;100 doi: 10.1097/MD.0000000000024934. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Yang P.Y., Chang Y.C. An update of oral potentially malignant disorders and their malignant transformation into oral cancers in Taiwan. J Dent Sci. 2021;16:774–775. doi: 10.1016/j.jds.2021.01.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Warnakulasuriya S., Kovacevic T., Madden P., et al. Factors predicting malignant transformation in oral potentially malignant disorders among patients accrued over a 10-year period in South East England. J Oral Pathol Med. 2011;40:677–683. doi: 10.1111/j.1600-0714.2011.01054.x. [DOI] [PubMed] [Google Scholar]
- 6.Uma Maheswari T.N., Nivedhitha M.S., Ramani P. Expression profile of salivary micro RNA-21 and 31 in oral potentially malignant disorders. Braz Oral Res. 2020;34 doi: 10.1590/1807-3107bor-2020.vol34.0002. [DOI] [PubMed] [Google Scholar]
- 7.Hung P.S., Tu H.F., Kao S.Y., et al. miR-31 is upregulated in oral premalignant epithelium and contributes to the immortalization of normal oral keratinocytes. Carcinogenesis. 2014;35:1162–1171. doi: 10.1093/carcin/bgu024. [DOI] [PubMed] [Google Scholar]
- 8.Hung K.F., Liu C.J., Chiu P.C., et al. MicroRNA-31 upregulation predicts increased risk of progression of oral potentially malignant disorder. Oral Oncol. 2016;53:42–47. doi: 10.1016/j.oraloncology.2015.11.017. [DOI] [PubMed] [Google Scholar]
- 9.Maheswari T.N.U., Venugopal A., Sureshbabu N.M., Ramani P. Salivary micro RNA as a potential biomarker in oral potentially malignant disorders: a systematic review. Ci Ji Yi Xue Za Zhi. 2018;30:55–60. doi: 10.4103/tcmj.tcmj_114_17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Cervigne N.K., Reis P.P., Machado J., et al. Identification of a microRNA signature associated with progression of leukoplakia to oral carcinoma. Hum Mol Genet. 2009;18:4818–4829. doi: 10.1093/hmg/ddp446. [DOI] [PubMed] [Google Scholar]
- 11.Yan J.W., Lin J.S., He X.X. The emerging role of miR-375 in cancer. Int J Canc. 2014;135:1011–1018. doi: 10.1002/ijc.28563. [DOI] [PubMed] [Google Scholar]
- 12.Siow M.Y., Ng L.P., Vincent-Chong V.K., et al. Dysregulation of miR-31 and miR-375 expression is associated with clinical outcomes in oral carcinoma. Oral Dis. 2014;20:345–351. doi: 10.1111/odi.12118. [DOI] [PubMed] [Google Scholar]
- 13.Jia L., Huang Y., Zheng Y., et al. miR-375 inhibits cell growth and correlates with clinical outcomes in tongue squamous cell carcinoma. Oncol Rep. 2015;33:2061–2071. doi: 10.3892/or.2015.3759. [DOI] [PubMed] [Google Scholar]
- 14.Chang K., Wei Z., Cao H. miR-375-3p inhibits the progression of laryngeal squamous cell carcinoma by targeting hepatocyte nuclear factor-1beta. Oncol Lett. 2020;20:80. doi: 10.3892/ol.2020.11941. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Jung H.M., Patel R.S., Phillips B.L., et al. Tumor suppressor miR-375 regulates MYC expression via repression of CIP2A coding sequence through multiple miRNA-mRNA interactions. Mol Biol Cell. 2013;24:1638–1648. doi: 10.1091/mbc.E12-12-0891. S1-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Liu C.J., Lin S.C., Yang C.C., Cheng H.W., Chang K.W. Exploiting salivary miR-31 as a clinical biomarker of oral squamous cell carcinoma. Head Neck. 2012;34:219–224. doi: 10.1002/hed.21713. [DOI] [PubMed] [Google Scholar]
- 17.Lin S.C., Lin L.H., Yu S.Y., et al. FAT1 somatic mutations in head and neck carcinoma are associated with tumor progression and survival. Carcinogenesis. 2018;39:1320–1330. doi: 10.1093/carcin/bgy107. [DOI] [PubMed] [Google Scholar]
- 18.Park N.J., Yu T., Nabili V., et al. RNAprotect saliva: an optimal room- temperature stabilization reagent for the salivary transcriptome. Clin Chem. 2006;52:2303–2304. doi: 10.1373/clinchem.2006.075598. [DOI] [PubMed] [Google Scholar]
- 19.Hu S., Arellano M., Boontheung P., et al. Salivary proteomics for oral cancer biomarker discovery. Clin Canc Res. 2008;14:6246–6252. doi: 10.1158/1078-0432.CCR-07-5037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Li Y., St John M.A., Zhou X., et al. Salivary transcriptome diagnostics for oral cancer detection. Clin Canc Res. 2004;10:8442–8450. doi: 10.1158/1078-0432.CCR-04-1167. [DOI] [PubMed] [Google Scholar]
- 21.Liu C.J., Kao S.Y., Tu H.F., et al. Increase of microRNA miR-31 level in plasma could be a potential marker of oral cancer. Oral Dis. 2010;16:360–364. doi: 10.1111/j.1601-0825.2009.01646.x. [DOI] [PubMed] [Google Scholar]
- 22.Liu C.J., Tsai M.M., Hung P.S., et al. miR-31 ablates expression of the HIF regulatory factor FIH to activate the HIF pathway in head and neck carcinoma. Canc Res. 2010;70:1635–1644. doi: 10.1158/0008-5472.CAN-09-2291. [DOI] [PubMed] [Google Scholar]
- 23.Chang K.W., Liu C.J., Chu T.H., et al. Association between high miR-211 microRNA expression and the poor prognosis of oral carcinoma. J Dent Res. 2008;87:1063–1068. doi: 10.1177/154405910808701116. [DOI] [PubMed] [Google Scholar]
- 24.Ng E.K., Chong W.W., Jin H., et al. Differential expression of microRNAs in plasma of colorectal cancer patients: a potential marker for colorectal cancer screening. Gut. 2009;58:1375–1381. doi: 10.1136/gut.2008.167817. [DOI] [PubMed] [Google Scholar]
- 25.Tu H.F., Chang K.W., Lin S.C., et al. Aberrant miR-10b, miR-372, and miR-375 expression in the cytobrushed samples from oral potentially malignant disorders. J Dent Sci. 2022;17:688–695. doi: 10.1016/j.jds.2021.07.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Humphrey S.P., Williamson R.T. A review of saliva: normal composition, flow, and function. J Prosthet Dent. 2001;85:162–169. doi: 10.1067/mpr.2001.113778. [DOI] [PubMed] [Google Scholar]
- 27.Shpitzer T., Hamzany Y., Bahar G., et al. Salivary analysis of oral cancer biomarkers. Br J Canc. 2009;101:1194–1198. doi: 10.1038/sj.bjc.6605290. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Chen X., Ba Y., Ma L., et al. Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases. Cell Res. 2008;18:997–1006. doi: 10.1038/cr.2008.282. [DOI] [PubMed] [Google Scholar]
- 29.Mitchell P.S., Parkin R.K., Kroh E.M., et al. Circulating microRNAs as stable blood-based markers for cancer detection. Proc Natl Acad Sci U S A. 2008;105:10513–10518. doi: 10.1073/pnas.0804549105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Bonne N.J., Wong D.T. Salivary biomarker development using genomic, proteomic and metabolomic approaches. Genome Med. 2012;4:e82. doi: 10.1186/gm383. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Yoshizawa J.M., Wong D.T. Salivary microRNAs and oral cancer detection. Methods Mol Biol. 2013;936:313–324. doi: 10.1007/978-1-62703-083-0_24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Park N.J., Zhou H., Elashoff D., et al. Salivary microRNA: discovery, characterization, and clinical utility for oral cancer detection. Clin Canc Res. 2009;15:5473–5477. doi: 10.1158/1078-0432.CCR-09-0736. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Momen-Heravi F., Trachtenberg A.J., Kuo W.P., Cheng Y.S. Genomewide study of salivary microRNAs for detection of oral cancer. J Dent Res. 2014;93(suppl 7):S86–S93. doi: 10.1177/0022034514531018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Zahran F., Ghalwash D., Shaker O., Al-Johani K., Scully C. Salivary microRNAs in oral cancer. Oral Dis. 2015;21:739–747. doi: 10.1111/odi.12340. [DOI] [PubMed] [Google Scholar]
- 35.Wu Y., Sun X., Song B., Qiu X., Zhao J. MiR-375/SLC7A11 axis regulates oral squamous cell carcinoma proliferation and invasion. Cancer Med. 2017;6:1686–1697. doi: 10.1002/cam4.1110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Harris T., Jimenez L., Kawachi N., et al. Low-level expression of miR-375 correlates with poor outcome and metastasis while altering the invasive properties of head and neck squamous cell carcinomas. Am J Pathol. 2012;180:917–928. doi: 10.1016/j.ajpath.2011.12.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Harrandah A.M., Fitzpatrick S.G., Smith M.H., et al. MicroRNA-375 as a biomarker for malignant transformation in oral lesions. Oral Surg Oral Med Oral Pathol Oral Radiol. 2016;122:743–752 e1. doi: 10.1016/j.oooo.2016.07.022. [DOI] [PubMed] [Google Scholar]



