|
1
|
Ferlay J, Soerjomataram I, Dikshit R, Eser
S, Mathers C, Rebelo M, Parkin DM, Forman D and Bray F: Cancer
incidence and mortality worldwide: Sources, methods and major
patterns in GLOBOCAN 2012. Int J Cancer. 136:E359–E386. 2015.
View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Abbey LM, Kaugars GE, Gunsolley JC, Burns
JC, Page DG, Svirsky JA, Eisenberg E, Krutchkoff DJ and Cushing M:
Intraexaminer and interexaminer reliability in the diagnosis of
oral epithelial dysplasia. Oral Surg Oral Med Oral Pathol Oral
Radiol Endod. 80:188–191. 1995. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Liu J and Duan Y: Saliva: A potential
media for disease diagnostics and monitoring. Oral Oncol.
48:569–577. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Zhang CZ, Cheng XQ, Li JY, Zhang P, Yi P,
Xu X and Zhou: Saliva in the diagnosis of diseases. Int J Oral Sci.
8:133–137. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Yoshizawa JM, Schafer CA, Schafer JJ,
Farrell JJ, Paster BJ and Wong DT: Salivary biomarkers: Toward
future clinical and diagnostic utilities. Clin Microbiol Rev.
26:781–791. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Cuevas-Córdoba B and Santiago-García J:
Saliva: A fluid of study for OMICS. OMICS. 18:87–97. 2014.
View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Guerra EN, Acevedo AC, Leite AF, Gozal D,
Chardin H and De Luca Canto G: Diagnostic capability of salivary
biomarkers in the assessment of head and neck cancer: A systematic
review and meta-analysis. Oral Oncol. 51:805–818. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Patel S and Ahmed S: Emerging field of
metabolomics: Big promise for cancer biomarker identification and
drug discovery. J Pharm Biomed Anal. 107:63–74. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Mikkonen JJW, Herrala M, Soininen P,
Lappalainen R, Tjäderhane L, Seitsalo H, Niemelä R, Salo T, Kullaa
A and Myllymaa S: Metabolic profiling of saliva in patients with
primary Sjögren's syndrome. Metabolomics. 3:1282013.
|
|
10
|
Spielmann N and Wong DT: Saliva:
Diagnostics and therapeutic perspectives. Oral Dis. 17:345–354.
2011. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Bonne NJ and Wong DT: Salivary biomarker
development using genomic, proteomic and metabolomic approaches.
Genome Med. 4:822012. View
Article : Google Scholar : PubMed/NCBI
|
|
12
|
Winck FV, Ribeiro Prado AC, Domingues
Ramos R, Ling LY, Riaño-Pachón DM, Rivera C, Brandão TB, Gouvea AF,
Santos-Silva AR, Coletta RD and Paes Leme AF: Insights into immune
responses in oral cancer through proteomic analysis of saliva and
salivary extracellular vesicles. Sci Rep. 5:163052015. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Zlotogorski-Hurvitz A, Dayan D, Chaushu G,
Salo T and Vered M: Morphological and molecular features of oral
fluid-derived exosomes: Oral cancer patients versus healthy
individuals. J Cancer Res Clin Oncol. 142:101–110. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Günther H: NMR spectroscopy: Basic
principles, concepts, and applications in chemistry. 2 edition.
John Wiley and Sons Ltd.; Chichester: 1995
|
|
15
|
González-Arriagada WA, Ramos LM, Silva AA,
Vargas PA, Coletta RD, Bingle L and Lopes MA: Salivary BPIFA1
(SPLUNC1) and BPIFA2 (SPLUNC2 A) are modified by head and neck
cancer radiotherapy. Oral Surg Oral Med Oral Pathol Oral Radiol.
119:48–58. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Navazesh M: Methods for collecting saliva.
Ann N Y Acad Sci. 694:72–77. 1993. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Silwood CJ, Lynch E, Claxson AW and
Grootveld MC: 1H and (13)C NMR spectroscopic analysis of human
saliva. J Dent Res. 81:422–427. 2002. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Dame ZT, Aziat F, Mandal RS, Krishnamurthy
R, Bouatra S, Borzouie S, Guo AC, Sajed T, Deng L, Lin H, et al:
The human saliva metabolome. Metabolomics. 11:1864–1883. 2015.
View Article : Google Scholar
|
|
19
|
Soininen P, Haarala J, Vepsäläinen J,
Niemitz M and Laatikainen R: Strategies for organic impurity
quantification by 1H NMR spectroscopy: Constrained total-line-shape
fitting. Anal Chim Acta. 542:178–185. 2005. View Article : Google Scholar
|
|
20
|
Ma B, Simala-Grant JL and Taylor DE:
Fucosylation in prokaryotes and eukaryotes. Glycobiology.
16:158R–184R. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Miyoshi E, Moriwaki K and Nakagawa T:
Biological function of fucosylation in cancer biology. J Biochem.
143:725–729. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Fernández-Rodríguez J, de la Cadena Páez
M, Martínez-Zorzano VS and Rodríguez-Berrocal FJ: Fucose levels in
sera and in tumours of colorectal adenocarcinoma patients. Cancer
Lett. 121:147–153. 1997. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Shah M, Telang S, Raval G, Shah P and
Patel PS: Serum fucosylation changes in oral cancer and oral
precancerous conditions: Alpha-L-fucosidase as a marker. Cancer.
113:336–346. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Manjula S, Monteiro F, Aroor Rao A, Rao S,
Annaswamy R and Rao A: Assessment of serum L-fucose in brain tumor
cases. Ann Indian Acad Neurol. 13:33–36. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Listinsky JJ, Siegal GP and Listinsky CM:
The emerging importance of α-L-fucose in human breast cancer: A
review. Am J Transl Res. 3:292–322. 2011.PubMed/NCBI
|
|
26
|
Shetlar MR, Foster JV, Kelly KH, Shetlar
CL, Bryan RS and Everett MR: The serum polysaccharide level in
malignancy and in other pathological conditions. Cancer Res.
9:515–519. 1949.PubMed/NCBI
|
|
27
|
Sawke NG and Sawke GK: Serum fucose level
in malignant diseases. Indian J Cancer. 47:452–457. 2010.
View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Shetty RK, Bhandary SK and Kali A:
Significance of serum L-fucose glycoprotein as cancer biomarker in
head and neck malignancies without distant metastasis. J Clin Diagn
Res. 7:2818–2820. 2013.PubMed/NCBI
|
|
29
|
Parwani RN and Parwani SR: Quantitative
evaluation of serum fucose in oral squamous cell carcinoma
patients. J Can Res Ther. 7:143–147. 2011. View Article : Google Scholar
|
|
30
|
Rai NP, Anekar J, Shankara Shivaraja YM,
Divakar DD, Al Kheraif AA, Ramakrishnaiah R, Sebastian R, Raj AC,
Al-Hazmi A and Mustafa SM: Comparison of serum fucose levels in
leukoplakia and oral cancer patients. Asian Pac J Cancer Prev.
16:7497–7500. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Chugh S, Gnanapragassam VS, Jain M,
Rachagani S, Ponnusamy MP and Batra SK: Pathobiological
implications of mucin glycans in cancer: Sweet poison and novel
targets. Biochim Biophys Acta. 1856:211–225. 2015.PubMed/NCBI
|
|
32
|
Rajpura KB, Patel PS, Chawda JG and Shah
RM: Clinical significance of total and lipid bound sialic acid
levels in oral pre-cancerous conditions and oral cancer. J Oral
Pathol Med. 34:263–267. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Sanjay PR, Hallikeri K and Shivashankara
AR: Evaluation of salivary sialic acid, total protein, and total
sugar in oral cancer: A preliminary report. Indian J Dent Res.
19:288–291. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Sawhney H and Kumar CA: Correlation of
serum biomarkers (TSA & LSA) and epithelial dysplasia in early
diagnosis of oral precancer and oral cancer. Cancer Biomark.
10:43–49. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Taqi SA: Clinical evaluation of total and
lipid bound sialic acid levels in oral precancer and oral cancer.
Indian J Med Paediatr Oncol. 33:36–41. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Dhakar N, Astekar M, Jain M, Saawarn S and
Saawarn N: Total sialic acid, total protein and total sugar levels
in serum and saliva of oral squamous cell carcinoma patients: A
case control study. Dent Res J (Isfahan). 10:343–347.
2013.PubMed/NCBI
|
|
37
|
Dadhich M, Prabhu V, Pai VR, D'Souza J,
Harish S and Jose M: Serum and salivary sialic acid as a biomarker
in oral potentially malignant disorders and oral cancer. Indian J
Cancer. 51:214–218. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Mustafa A, Gupta S, Hudes GR, Egleston BL,
Uzzo RG and Kruger WD: Serum amino acid levels as a biomarker for
renal cell carcinoma. J Urol. 186:1206–1212. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Tiziani S, Lopes V and Günther UL: Early
stage diagnosis of oral cancer using 1H NMR-based metabolomics.
Neoplasia. 11(269–276): 4p2009.
|
|
40
|
Liang S, Sanchez-Espiridion B, Xie H, Ma
J, Wu X and Liang D: Determination of proline in human serum by a
robust LC-MS/MS method: Application to identification of human
metabolites as candidate biomarkers for esophageal cancer early
detection and risk stratification. Biomed Chromatogr. 29:570–577.
2015. View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Humphrey SP and Williamson RT: A review of
saliva: Normal composition, flow, and function. J Prosthet Dent.
85:162–169. 2001. View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Tiwari M: Science behind human saliva. J
Nat Sci Biol Med. 2:53–58. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
43
|
Koneru S and Tanikonda R: Salivaomics-A
promising future in early diagnosis of dental diseases. Dent Res J
(Isfahan). 11:11–15. 2014.PubMed/NCBI
|
|
44
|
Hu S, Gao K, Pollard R, Arellano-Garcia M,
Zhou H, Zhang L, Elashoff D, Kallenberg CG, Vissink A and Wong DT:
Preclinical validation of salivary biomarkers for primary Sjögren's
syndrome. Arthritis Care Res (Hoboken). 62:1633–1638. 2010.
View Article : Google Scholar : PubMed/NCBI
|
|
45
|
Mikkonen JJ, Singh SP, Herrala M,
Lappalainen R, Myllymaa S and Kullaa AM: Salivary metabolomics in
the diagnosis of oral cancer and periodontal diseases. J
Periodontal Res. 51:431–437. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Bigler LR, Streckfus CF, Copeland L, Burns
R, Dai X, Kuhn M, Martin P and Bigler SA: The potential use of
saliva to detect recurrence of disease in women with breast
carcinoma. J Oral Pathol Med. 31:421–431. 2002. View Article : Google Scholar : PubMed/NCBI
|
|
47
|
Zhang L, Xiao H, Zhou H, Santiago S, Lee
JM, Garon EB, Yang J, Brinkmann O, Yan X, Akin D, et al:
Development of transcriptomic biomarker signature in human saliva
to detect lung cancer. Cell Mol Life Sci. 69:3341–3350. 2012.
View Article : Google Scholar : PubMed/NCBI
|
|
48
|
Xiao H, Zhang L, Zhou H, Lee JM, Garon EB
and Wong DT: Proteomic analysis of human saliva from lung cancer
patients using two-dimensional difference gel electrophoresis and
mass spectrometry. Mol Cell Proteomics. 11(M111):
0121122012.PubMed/NCBI
|
|
49
|
Sugimoto M, Wong DT, Hirayama A, Soga T
and Tomita M: Capillary electrophoresis mass spectrometry-based
saliva metabolomics identified oral, breast and pancreatic
cancer-specific profiles. Metabolomics. 6:78–95. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
50
|
Lau C, Kim Y, Chia D, Spielmann N, Eibl G,
Elashoff D, Wei F, Lin YL, Moro A, Grogan T, et al: Role of
pancreatic cancer-derived exosomes in salivary biomarker
development. J Biol Chem. 288:26888–26897. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
51
|
Grant MM: What do'omic technologies have
to offer periodontal clinical practice in the future? J Periodontal
Res. 47:2–14. 2012. View Article : Google Scholar : PubMed/NCBI
|
