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1 additional genetic damage, can develop into oral cancer.
2 m, HPV infection, and the risk of developing oral cancer.
3 n individual's susceptibility to the risk of oral cancer.
4 hat have a high likelihood of progression to oral cancer.
5 375 as a candidate tumor suppressor miRNA in oral cancer.
6 , but to date, only limited studies apply to oral cancer.
7 romotes gingival and periodontal disease and oral cancer.
8 st for diagnosis and personalized therapy of oral cancer.
9 e of the existence and signs and symptoms of oral cancer.
10 genes as contributors to human clefting and oral cancer.
11 l carcinoma (SCC) is the most common form of oral cancer.
12 es disturbances in intercellular adhesion in oral cancer.
13 nderlying causes for cellular discohesion in oral cancer.
14 dose 13cRA in reducing the long-term risk of oral cancer.
15 ge in buccal cells and increases the risk of oral cancer.
16 ntify molecular signatures or biomarkers for oral cancer.
17 to functionally link periodontal disease and oral cancer.
18 the risk-benefit ratio of agents to prevent oral cancer.
19 tions have been suggested in the etiology of oral cancer.
20 a common feature of human tumors, including oral cancer.
21 ce the devastating worldwide consequences of oral cancer.
22 the first reported inducible mouse model for oral cancer.
23 the oral epithelium are known precursors of oral cancer.
24 GF2R may influence significantly the risk of oral cancer.
25 tion and treatment improve the prognosis for oral cancer.
26 ion in both the incidence and mortality from oral cancer.
27 that have not been previously implicated in oral cancer.
28 , and genes that have not been implicated in oral cancer.
29 oxidative stress is tightly associated with oral cancer.
30 latest information on the genes involved in oral cancer.
31 characterize transformation-related genes in oral cancer.
32 ng to dental caries, periodontal disease, or oral cancer.
33 e effects on dental caries, and 1 considered oral cancer.
34 icacy of this three-drug regimen in advanced oral cancer.
35 with poor oral hygiene, tobacco smoking, and oral cancer.
36 e, nor microbial community associations with oral cancer.
37 t immunosensor for non-invasive detection of oral cancer.
38 an cancer but has not been fully assessed in oral cancers.
39 oral premalignant lesions (OPLs) and prevent oral cancers.
40 at may affect the etiology of colorectal and oral cancers.
41 r tumors of the anogenital tract, as well as oral cancers.
42 ety of cancer patients, including those with oral cancers.
43 emerging mechanisms of immunosuppression in oral cancers.
44 irus (HPV) has recently been associated with oral cancers.
45 evidence for an etiological role for HPV in oral cancers.
46 genes, which are present in more than 27% of oral cancers.
47 e etiologically linked to human cervical and oral cancers.
48 be an early indicator of increased risk for oral cancers.
49 ic genotype in HPV-associated anogenital and oral cancers.
51 differential expression included deleted-in-oral-cancer-1 (DOC-1), a highly conserved growth suppres
52 ncident head and neck cancers (patients; 180 oral cancers, 135 oropharynx cancers, and 247 hypopharyn
54 ide insight into potential stratification of oral cancer according to risk of occult metastasis, guid
57 proximately 90% of the attributable risk for oral cancer and 80% of the attributable risk for larynx
58 targeting the enzyme PARP1/2, can delineate oral cancer and accurately identify positive margins, bo
59 study was to identify deregulated miRNAs in oral cancer and further focus on specific miRNAs that we
60 been made in the molecular understanding of oral cancer and its application for diagnosis, prognosis
61 ide in mediating RNAi-based therapeutics for oral cancer and its prospective applicability in clinica
62 reported lack of knowledge and awareness of oral cancer and its signs and symptoms among the partici
67 frequent events preceding the development of oral cancer and that p16(INK4a) inactivation occurs to a
68 uate the association between E. faecalis and oral cancer and to determine the underlying mechanisms t
69 m cells (CSCs) have been isolated from human oral cancers and been considered as the driving force of
71 owledge regarding chromosomal instability in oral cancer, and discuss various mechanisms that enhance
72 s with malignant melanoma, multiple myeloma, oral cancer, and esophageal squamous cell carcinoma did
73 n the incidence, management, and survival of oral cancer, and then, to review possible explanations f
74 pression of CIP2A is clearly demonstrated in oral cancers, and inverse correlation between miR-375 an
76 iples of image-based approaches to detecting oral cancer are placed within the context of clinical ne
78 g tooth loss, itself a major risk factor for oral cancer, are likely a result of severe ecological di
79 certain cancers such as cervical cancer and oral cancer as well, and the HPV oncoprotein E6 may indu
80 pairing segment of microRNAs associated with oral cancer, as well as serotype-specific detection of d
83 tistry are growing rapidly: the treatment of oral cancer, bacterial and fungal infection therapies, a
84 research will result in earlier diagnosis of oral cancer, better knowledge of prognostic factors, and
88 factor for cancers of the mouth and pharynx (oral cancer), but the differential risks by beverage typ
90 udies with histologically confirmed incident oral cancer cases are necessary to confirm this relation
93 oral cancer cells and consequently inhibited oral cancer cell invasiveness and anchorage-independent
97 er down-regulated or lost in the majority of oral cancer cell lines (8/8), prostate cancer cell lines
98 unknown transcript were up-regulated in the oral cancer cell lines analysed as well as in HOK-16B ce
99 ng, we examined premalignant oral lesion and oral cancer cell lines and found no intragenic mutations
100 ring IL-6 and IL-8 in conditioned media from oral cancer cell lines and showing good correlations wit
101 region (LCR) of HPV-16 or HPV-18 from three oral cancer cell lines and two lines of HPV-16-immortali
103 talized oral epithelial cell lines and three oral cancer cell lines were simultaneously monitored usi
104 tionally, overexpressed Rap-1A could promote oral cancer cell migration and invasion by Transwell cha
106 target the CIP2A oncoprotein (siCIP2A) into oral cancer cells and consequently inhibited oral cancer
107 tations were found in the LCRs isolated from oral cancer cells and HPV-immortalized oral epithelial c
108 gene is absent or down-regulated in hamster oral cancer cells and in many other cancer cell types.
109 ound that the N-glycans of B7-H3 from Ca9-22 oral cancer cells contain the terminal alpha-galactose a
110 ly expressing iCaspase-9 (HDMEC-iCasp9) with oral cancer cells expressing luciferase (OSCC3-luc or UM
114 han that of the equivalent wild-type LCRs in oral cancer cells that contained the same HPV type.
115 and sequencing (RIP-seq) analyses of HuR in oral cancer cells treated with ionizing radiation (IR),
116 cleavage associated with active caspase-3 in oral cancer cells treated with ionizing radiation and ch
117 y, untransduced HDMEC were co-implanted with oral cancer cells, and a transcriptionaly targeted adeno
119 inhibits MMP-9-dependent invasion of UMSCC-1 oral cancer cells, preosteoclast migration, and receptor
128 One group of subjects (55 controls without oral cancer) collected oral rinse samples at home or wor
129 tion pathway genes are frequently mutated in oral cancers, comparatively little is known about the me
130 IGF2R genotype had a 2.7-fold higher risk of oral cancer compared with subjects with other genotypes
132 s imply that mutations in the LCR of HPVs in oral cancer could lead to increased expression of HPV-tr
133 te the application of this model in lung and oral cancer datasets, and the results indicate that the
135 ensitivity of 89% and specificity of 98% for oral cancer detection, demonstrating high diagnostic uti
136 doplanin was the only independent factor for oral cancer development (hazard ratio = 3.087; 95% CI, 1
138 s and clinicopathologic parameters including oral cancer development during the follow-up were analyz
141 y based strategies to predict and/or prevent oral cancer development in patients with oral premaligna
149 al growth factor receptor (EGFR) therapy for oral cancer does not provide satisfactory efficacy due t
150 nique to complement the visual inspection of oral cancers during transoral robotic surgery (TORS) in
154 the 18 participants who were offered a free oral cancer examination at a dental practice took up thi
162 he past years, progress has been made in the oral cancer genetic markers field, which includes altera
172 studies examined this relationship in human oral cancer in vivo, and none addressed the issue of how
174 s and for explaining increased incidences of oral cancers in users of snuff and chewing tobacco in wh
176 t alcohol concentration is a risk factor for oral cancer independent of the total quantity of alcohol
177 This report demonstrates that, even though oral cancers involving the periodontium are a relatively
178 ll remains unclear whether targeting CSCs in oral cancer is a clinically relevant strategy to combat
188 al squamous-cell carcinoma, the main type of oral cancer, is among the ten most common cancers in the
195 an available drug to effectively treat both oral cancer metastasis and pain in a preclinical model.
197 umor progression in this genetically defined oral cancer model system, thereby prolonging animal surv
202 ld be advised that delay in the diagnosis of oral cancer occurs frequently, even in individuals who d
203 ks per week) had strongly increased risks of oral cancer (odds ratio = 6.4, 95% confidence interval:
204 dividual/household income is associated with oral cancer (odds ratio, 2.41; 95% confidence interval [
205 e oral screening examination for identifying oral cancer or potentially malignant disorders that have
206 tificial intelligence approaches can improve oral cancer outcomes through improved detection and diag
207 with imaging can have considerable impact on oral cancer outcomes, with applications ranging from low
208 tigated for their applicability to improving oral cancer outcomes, yet none of them have found widesp
210 review is to explore the current studies on oral cancer pain and their implications in clinical mana
214 lized means of the four protein levels in 78 oral cancer patient serum samples and 49 controls gave c
216 the reference peptide in hemoglobin from 18 oral cancer patients and 15 healthy control subjects.
217 ization is associated with poor prognosis of oral cancer patients and keratinization-associated miRNA
219 -99 of globin were significantly elevated in oral cancer patients compared to healthy subjects, while
222 d beta-His-2 is also significantly higher in oral cancer patients than in healthy subjects (p < 0.05)
223 and function of the oral microbiomes of 121 oral cancer patients to 242 age- and gender-matched cont
224 gh the alterations in the oral microbiome of oral cancer patients were significant, they were of subs
227 f oral cancer tissues, plasma, and saliva of oral cancer patients, have allowed the identification of
229 argets a pathway shown to be dysregulated in oral cancer patients, using gene therapy and repurposing
245 modifications that characterize each step of oral cancer progression can now be profiled by several h
248 ion of immortality at the dysplasia stage of oral cancer progression was consistently associated with
251 reness of the role of dentists in diagnosing oral cancer, promotion of oral cancer screening by healt
252 n of two biomarkers associated with salivary oral cancer, protein IL-8 and its messenger RNA (IL-8 mR
254 viewed the evidence on whether screening for oral cancer reduces morbidity or mortality and on the ac
256 A retrospective analysis of samples from oral cancer revealed that p53 status was associated with
257 this trial, LOH was validated as a marker of oral cancer risk and found to be associated with increas
260 n this 1992-1995 study, the authors examined oral cancer risk in Puerto Rico, comparing alcohol intak
261 OF REVIEW: To discuss the recent advances in oral cancer risk prediction, as well as agents that have
263 sted no association between total starch and oral cancer risk, and low-quality evidence suggested tha
264 , nonspecialists such as dentists screen for oral cancer risk, and then they refer high-risk patients
268 ists in diagnosing oral cancer, promotion of oral cancer screening by health professionals during rou
273 g with PARPi-FL can enhance the detection of oral cancer, serve as a screening tool and help to guide
276 roups to identify knowledge and awareness of oral cancer signs and symptoms and the factors likely to
277 ion was confirmed by the evaluation of human oral cancer specimens by immunohistochemistry, which sho
278 One hundred forty patients with invasive oral cancers, stage T1 and T2, N0 including 95 cancers o
282 sitive had significantly higher incidence of oral cancer than did those whose OPL was podoplanin nega
285 /conditions such as rheumatoid arthritis and oral cancer, there are no reported studies on their util
286 immunocytochemistry (ICC) methods to examine oral cancer tissue specimens from 20 surgery patients.
289 e biopsy (SLNB) for T1 or T2, clinically N0, oral cancer was tested by correlation of sentinel node p
290 h cleft lip/palate were also associated with oral cancer, we genotyped 188 individuals with OSCC and
291 ose of endogenous neurons in mouse models of oral cancer, we identified an adrenergic differentiation
293 ine which MMPs are produced in vivo by human oral cancers, we used specific anti-human-MMP antibodies
295 en p53 Arg72Pro polymorphism and the risk of oral cancer with HPV infection remains inconclusive.
296 en p53 Arg72Pro polymorphism and the risk of oral cancer with HPV infection was detected in the Arg/A
297 ppears to be associated with HNC, especially oral cancers, with snuff being more strongly associated
299 ith characteristics and molecular drivers of oral cancer would likely enhance understandings and func