Journal of Prevention and Treatment for Stomatological Diseases ›› 2018, Vol. 26 ›› Issue (4): 211-217.doi: 10.12016/j.issn.2096-1456.2018.04.002

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Salivary transcriptomics and biomarkers of oral squamous cell carcinoma

Qian TAO, Xin LIU   

  1. Department of Oral Maxillofacial?Head and Neck Oncology Hospital of Stomatology Guanghua School of Stomatology Sun Yat?sen University Guangzhou 510055 China
  • Received:2017-08-02 Revised:2017-12-01 Online:2018-04-20 Published:2018-08-31

Abstract:

Saliva is rich in DNA, RNA, proteins, microorganisms and metabolites, containing large amounts of bio?information, similar to blood, and reflecting the physiological or pathological state of the whole body. Additionally, with its advantages of non?invasive collection methods, safe transport and low transportation cost, saliva has attracted extensive attention of scholars recently as a potential substitute for blood. With the rapid development of high?throughput techniques such as microarray technology, whole genome sequencing and whole transcriptome sequencing, a variety of disease-specific salivary biomarkers have been discovered. Salivary transcriptomics, a bridge connecting genomics and proteomics, provides a comprehensive understanding of gene transcription, RNA composition and interactions. This methodology not only allows the investigation of salivary components with temporal and spatial specificity but also reveals regulatory networks during disease development, with high potential for the early screening and assessment of diseases. Here, we outline the development of salivary transcriptomics, highlight its current research status in oral cancer from two aspects of technological and clinical applications, and further address prospects and challenges of the near future.

Key words: Saliva, Biomarker, Transcriptomics, Oral cancer, Early diagnosis

Table 1

OSCC-related salivary RNA biomarkers"

作者 年份 RNA类型 样本例数
(实验组/对照组)
唾液收集 检测方法 标志物 灵敏度(%)/特异度(%)/AUC
Li等[26]





2004





mRNA





64(32/32)





非刺激相





人类全基因组表达谱芯片u133A、qRT-PCR

IL8、IL1β、DUSP1、
OAZ1、SAT1、H3F3A、
S100P



DUSP1(59 /75/0.65)
H3F3A(53 /81/0.68)
IL1β(63/72/0.70 )
IL8(88/ 81/ 0.85)
OAZ1(100/38/0.69)
S100P( 72 /63 /0.71)
SATB(81/ 56/0.70)
IL1β+OAZ1+SAT+IL8. (91/91/0.95)
Brinkmann等[28]


2010



mRNA、蛋白



86(35/51)



非刺激相



qPCR、ELISA


DUSP1、IL8、IL1β、
OAZ1、SAT1、S100P
(mRNA)
IL1β、IL8、M2BP
(蛋白)
IL1β蛋白+ SAT1
mRNA + DUSP1 mRNA(89/78/0.86)
IL1βmRNA + SAT1 mRNA + DUSP1
mRNA(诊断T1/T2期OSCC:67/96/0.85)
IL1β蛋白 + DUSP1 mRNA(诊断T3/T4期OSCC:82/84/ 0.88)
Park等[24]
2009
miRNA
24(12/12)
NR
逆转录酶预扩增定量PCR miR-200a、miR-
125a
miR-200a(NR/NR/0.62)
miR-125a(NR/NR/0.65)
Wiklund,等[41] 2011 miRNA 33(25/8) 非刺激相 qRT-PCR miR-375 NR
Liu等[46] 2012 miRNA 79(45/34) NR qRT-PCR miR-31 80/68/0.82
Momen-
Heravi等[49]
2014
miRNA
34(9/25)
非刺激相
miRNA微阵列 miR-136、miR-27b
miR-136(88/100/0.96)
miR-27b(85/100/0.96)
Salazar等[50] 2014
miRNA
112(56/56)
非刺激相
miRNA微阵列、qPCR miR-191、miR-9、
miR-134
miR-191(NR/NR/0.74)、miR-9(NR/NR/0.85)、miR-134(NR/NR/0.98)
李月秀
[48]
2015
miRNA
60(20/40)
非刺激相
qPCR
miR-429 、miR-
181、miR-144、miR-
521、miR-339
NR
Zahran等[47] 2015
miRNA
100(20/80)
非刺激相
qRT-PCR
miRNA-21、 miR
NA-184、miRNA-
145
miRNA-21(65/65/NR)
miRNA-184(80/75/NR)
miRNA-145(70/60/NR)
Tang等[58] 2013 LncRNA 18(9/9) NR qRT-PCR MALAT-1 NR
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